Cookbook/PerformanceTips
Contents |
Performance tips
How do I execute functions in parallel?
In the expression f each xs, f is applied to each element of xs in sequence. In a multi-CPU setting, applications of f can be done in parallel by using peach instead of each. Typically this is worth it if f is computationally expensive.
Evaluating the performance of hardware configurations for Kdb+
Introduction
The scripts throughput.q and io.q are a useful starting point for users of Kdb+ wanting to measure the performance of the systems where Kdb+ is going to be deployed. The results of these tests (while somewhat rough) can be used to stress-test different CPU, disk and network configurations running Kdb+.
These scripts are available from source:contrib/simon/io
Throughput
This test measures the time to insert a million rows into a table, one at a time, and also as bulk inserts of 10, 100, 1000, and 10000 rows.
To run the test, simply load it into a Kdb+ session:
q throughput.q
On an AMD Opteron box with 4 GB of RAM, we get
0.672 million inserts per second (single insert) 6.944 million inserts per second (bulk insert 10) 20.408 million inserts per second (bulk insert 100) 24.39 million inserts per second (bulk insert 1000) 25 million inserts per second (bulk insert 10000)
On an AMD Turion64 laptop with 0.5 GB of RAM,
0.928 million inserts per second (single insert) 8.065 million inserts per second (bulk insert 10) 16.129 million inserts per second (bulk insert 100) 16.129 million inserts per second (bulk insert 1000) 16.129 million inserts per second (bulk insert 10000)
The complete code of this benchmark is as follows:
\l trade.q STDOUT:-1 tmp:STDOUT"" show trade tmp:STDOUT"" t1:trade 0 t10:10#trade t100:100#trade t1000:1000#trade t10000:10000#trade tmp:value"\\t do[1000000;trade,:t1]" / prepare space trade:0#trade ms:value"\\t do[1000000;trade,:t1]" tmp:STDOUT(string 0.001*floor 0.5+(count trade)%ms)," million inserts per second (single insert)" trade:0#trade ms:value"\\t do[100000;trade,:t10]" tmp:STDOUT(string 0.001*floor 0.5+(count trade)%ms)," million inserts per second (bulk insert 10)" trade:0#trade ms:value"\\t do[10000;trade,:t100]" tmp:STDOUT(string 0.001*floor 0.5+(count trade)%ms)," million inserts per second (bulk insert 100)" trade:0#trade ms:value"\\t do[1000;trade,:t1000]" tmp:STDOUT(string 0.001*floor 0.5+(count trade)%ms)," million inserts per second (bulk insert 1000)" trade:0#trade ms:value"\\t do[100;trade,:t10000]" tmp:STDOUT(string 0.001*floor 0.5+(count trade)%ms)," million inserts per second (bulk insert 10000)"
Disk Input/Output
This test measures the cost of disk access from Kdb+. Things that are measured include: open and close of a file; read files (cold and in the cache); write files; appends; getting the size of a file; etc.
The benchmark first creates the test files, and then does something else for a while to get them out of the cache.
q io.q -prepare KDB+ 2.4t 2006.09.29 Copyright (C) 1993-2006 Kx Systems l64/ 4cpu 3943MB ... start local q server with: q -p 5555 tmpfiles created
Next we need to start a second Kdb+ process
q -p 5555
Now we can run the benchmark
q io.q -flush 32 -run
On an AMD Opteron box with 4 GB of RAM, we get
memory flushed (32GB) * local file hclose hopen`:read.test 0.0094 ms read `:read.test - 270 MB/sec read `:read.test - 392 MB/sec (cached) write `:write.test - 157 MB/sec * local fileops .[`:file.test;();,;2 3] 0.017 ms .[`:file.test;();:;2 3] 0.093 ms append (2 3) to handle 0.00883 ms hcount`:file.test 0.0053 ms read1`:file.test 2.1732 ms value`:file.test 0.0251 ms * local comm hclose hopen`:<IP_ADDRESS>:5555 0.135 ms sync (key rand 100) 0.06277 ms async (string 23);collect 0.00773 ms sync (string 23) 0.05514 ms
Finally, we can clean up the temporary files
q io.q -cleanup tmpfiles deleted
Command-line arguments
q io.q [-run] [-prepare] [-cleanup] [-flush memsizeingb] [-rl remotelocation] [-rh remotehost] / hardware timings eg: q io.q -prepare -rl /mnt/foo q io.q -flush 32 -run -rl /mnt/foo -rh server19:5005 q io.q -cleanup -rl /mnt/foo
If remote host/location aren't supplied only local tests will be run.
The local and remote q servers must be started manually.
Performance of different versions of insert
There are several syntactic forms to insert rows into tables, with different costs. We demonstrate the differences in this recipe.
In the examples, we use a non-keyed table.
q)trade date open high low close volume sym ------------------------------------------------ 2006.10.03 24.5 24.51 23.79 24.13 19087300 AMD 2006.10.03 27.37 27.48 27.21 27.37 39386200 MSFT q)row: first trade
In our first test, we use insert:
q)load `:trade q)row: first trade q)\t do[1000000; insert[`trade; row]] 1968
Next we test the version that uses the dot notation:
q)load `:trade q)row: first trade q)\t do[1000000; .[`trade; (); ,; row]] 1890
Those two can take the table as a parameter. If the table is known, we can also use the ammend operator, which is faster:
q)load `:trade q)row: first trade q)\t do[1000000; trade,: row] 1718
Notice that the result of this comparison might vary between different versions of Kdb+. The tests shown above are for version 2.4t.
Finally, remember that bulk insert is faster than repeated inserts of single rows:
q)load `:trade q)row: first trade q)rows: 1000000 # enlist row q)\t insert[`trade; rows] 109 q)load `:trade q)\t .[`trade; (); ,; rows] 78 q)load `:trade q)\t trade,: rows 78
Using the `g# attribute
This recipe demonstrates the use of the `g# attribute to improve performance of queries. The test is as follows: given 10 million trades and 10 million quotes, how long does it take to snapshot price,bid,ask,mid for the sp500 at some prior time?
The tables can be set up like this:
q)n:10000000 q)s:`$read0`:tick/sp500.txt q)S:s,-7500?`4 / 8000 symbols q)t:{09:30:00.0+floor 23400000%x%til x} / milliseconds from 9:30 to 16:00 q)trade:([]sym:n?S;time:t n;price:n?100.0;ox:n?2) / 10 million trades q)quote:([]sym:n?S;time:t n;bid:n?100.0;ask:n?100.0) / 10 million quotes q)r:first s / sample ric q)t:12:00:00.0 / sample time
The test queries and their running times are as follows:
q)\t select last sym,last price from trade where sym=r,ox=1,time<=t 84 q)\t select from trade where sym=r,ox=1,time=time time bin t 84
Now, let's apply the attribute to the sym column:
q)update `g#sym from `trade q)update `g#sym from `quote
The queries now run faster.
q)\t select last sym,last price from trade where sym=r,ox=1,time<=t 0 q)\t select from trade where sym=r,ox=1,time=time time bin t 0
In fact, we need to run them many times to get a measurable time:
q)n:1000 q)\t do[n;select last sym,last price from trade where sym=r,ox=1,time<=t] 78 q)\t select from trade where sym=r,ox=1,time=time time bin t 83
STAC-M3 Benchmark
The STAC-M3 benchmark is an independent benchmark for testing solutions like kdb+ that manage large timeseries datasets (tick databases). This has been run using kdb+ on several platforms and the results are available after registering at the STAC site.
These benchmarks are run on a year of daily NYSE TAQ-like data, approximately 5 terabytes in total. They use a series of up to 20 complex queries that were defined by financial institutions to reflect real business requirements. The benchmarks enable users and vendors to compare the performance of their database solutions against audited, third party measurements.


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| | BT_DECLARE_ALIGNED_ALLOCATOR () |
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| | btCompoundShape (bool enableDynamicAabbTree=true, const int initialChildCapacity=0) |
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| virtual | ~btCompoundShape () |
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| void | addChildShape (const btTransform &localTransform, btCollisionShape *shape) |
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| virtual void | removeChildShape (btCollisionShape *shape) |
| | Remove all children shapes that contain the specified shape. More...
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| |
| void | removeChildShapeByIndex (int childShapeindex) |
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| int | getNumChildShapes () const |
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| btCollisionShape * | getChildShape (int index) |
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| const btCollisionShape * | getChildShape (int index) const |
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| btTransform & | getChildTransform (int index) |
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| const btTransform & | getChildTransform (int index) const |
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| void | updateChildTransform (int childIndex, const btTransform &newChildTransform, bool shouldRecalculateLocalAabb=true) |
| | set a new transform for a child, and update internal data structures (local aabb and dynamic tree) More...
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| btCompoundShapeChild * | getChildList () |
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| virtual void | getAabb (const btTransform &t, btVector3 &aabbMin, btVector3 &aabbMax) const |
| | getAabb's default implementation is brute force, expected derived classes to implement a fast dedicated version More...
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| |
| virtual void | recalculateLocalAabb () |
| | Re-calculate the local Aabb. More...
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| |
| virtual void | setLocalScaling (const btVector3 &scaling) |
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| virtual const btVector3 & | getLocalScaling () const |
| |
| virtual void | calculateLocalInertia (btScalar mass, btVector3 &inertia) const |
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| virtual void | setMargin (btScalar margin) |
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| virtual btScalar | getMargin () const |
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| virtual const char * | getName () const |
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| const btDbvt * | getDynamicAabbTree () const |
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| btDbvt * | getDynamicAabbTree () |
| |
| void | createAabbTreeFromChildren () |
| |
| void | calculatePrincipalAxisTransform (const btScalar *masses, btTransform &principal, btVector3 &inertia) const |
| | computes the exact moment of inertia and the transform from the coordinate system defined by the principal axes of the moment of inertia and the center of mass to the current coordinate system. More...
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| |
| int | getUpdateRevision () const |
| |
| virtual int | calculateSerializeBufferSize () const |
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| virtual const char * | serialize (void *dataBuffer, btSerializer *serializer) const |
| | fills the dataBuffer and returns the struct name (and 0 on failure) More...
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| |
| | BT_DECLARE_ALIGNED_ALLOCATOR () |
| |
| | btCollisionShape () |
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| virtual | ~btCollisionShape () |
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| virtual void | getBoundingSphere (btVector3 ¢er, btScalar &radius) const |
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| virtual btScalar | getAngularMotionDisc () const |
| | getAngularMotionDisc returns the maximum radius needed for Conservative Advancement to handle time-of-impact with rotations. More...
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| virtual btScalar | getContactBreakingThreshold (btScalar defaultContactThresholdFactor) const |
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| void | calculateTemporalAabb (const btTransform &curTrans, const btVector3 &linvel, const btVector3 &angvel, btScalar timeStep, btVector3 &temporalAabbMin, btVector3 &temporalAabbMax) const |
| | calculateTemporalAabb calculates the enclosing aabb for the moving object over interval [0..timeStep) result is conservative More...
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| bool | isPolyhedral () const |
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| bool | isConvex2d () const |
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| bool | isConvex () const |
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| bool | isNonMoving () const |
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| bool | isConcave () const |
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| bool | isCompound () const |
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| bool | isSoftBody () const |
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| bool | isInfinite () const |
| | isInfinite is used to catch simulation error (aabb check) More...
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| int | getShapeType () const |
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| virtual btVector3 | getAnisotropicRollingFrictionDirection () const |
| | the getAnisotropicRollingFrictionDirection can be used in combination with setAnisotropicFriction See Bullet/Demos/RollingFrictionDemo for an example More...
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| void | setUserPointer (void *userPtr) |
| | optional user data pointer More...
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| void * | getUserPointer () const |
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| void | setUserIndex (int index) |
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| int | getUserIndex () const |
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| virtual void | serializeSingleShape (btSerializer *serializer) const |
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The btCompoundShape allows to store multiple other btCollisionShapes This allows for moving concave collision objects.
This is more general then the static concave btBvhTriangleMeshShape. It has an (optional) dynamic aabb tree to accelerate early rejection tests.
Definition at line 55 of file btCompoundShape.h.
computes the exact moment of inertia and the transform from the coordinate system defined by the principal axes of the moment of inertia and the center of mass to the current coordinate system.
"masses" points to an array of masses of the children. The resulting transform "principal" has to be applied inversely to all children transforms in order for the local coordinate system of the compound shape to be centered at the center of mass and to coincide with the principal axes. This also necessitates a correction of the world transform of the collision object by the principal transform.
Definition at line 202 of file btCompoundShape.cpp.


Roboger's Neighborhood
A nonsensical numbers game
Enter a whole number:
Answer
First number sequence:
Roboger-ized:


Description: Holds or releases the execution of jQuery's ready event.
hold: Boolean Indicates whether the ready hold is being requested or released
The $.holdReady()
method allows the caller to delay jQuery's ready event. This advanced feature would typically be used by dynamic script loaders that want to load additional JavaScript such as jQuery plugins before allowing the ready event to occur, even though the DOM may be ready. This method must be called early in the document, such as in the <head>
immediately after the jQuery script tag. Calling this method after the ready event has already fired will have no effect.
To delay the ready event, first call $.holdReady(true)
. When the ready event should be released to execute, call $.holdReady(false)
. Note that multiple holds can be put on the ready event, one for each $.holdReady(true)
call. The ready event will not actually fire until all holds have been released with a corresponding number of $.holdReady(false)
calls and the normal document ready conditions are met. (See ready
for more information.)
$.holdReady(true);
$.getScript("myplugin.js", function() {
$.holdReady(false);
});


All Classes
-
All Classes Interface Summary Class Summary Enum Summary Exception Summary Annotation Types Summary Class Description AbortOnMissingField This annotation is used to specify whether or not an exception should be thrown, in case a field is not present in a JSON, that is being deserialized.AtomicObjectConverter TheAtomicObjectConverter
is used to provide a way of converting the different atomic numbers found in Java'sjava.util.concurrent
package.Converts TheConverts
annotation is used to specify theClasses
that can be converted by aJsonConverter
, that is annotated with this annotation.DateFormatConfiguration TheDateFormatConfiguration
is used byMaxon
to convert date and time objects of the newjava.time
package to and from JSON.DateTimeConverter TheDateTimeConverter
is used for converting the various date and time representing objects of Java 8'sjava.time
package, namelyLocalTime
,LocalDate
,LocalDateTime
,OffsetDateTime
andZonedDateTime
, as well asDate
.DeserializationConstructor TheDeserializationConstructor
annotation is used to specify which constructor shall be used, while deserializing a JSON object.IllegalTypeRequestedException AIllegalTypeRequestedException
is thrown whenever a getter method is called for anObject
, that is not of the return type of the called getter.InvalidKeyException AInvalidKeyException
is thrown, whenever there is a key provided, that is not associated with a mapping.JsonArray AJsonArray
is a list-like representation of an JSON array.JsonConverter AJsonConverter
is an interface used for all converters.JsonElement AJsonElement
is the Object used byJsonArrays
andJsonObjects
in their respective collections, to make the use of the enhanced for loop more easy to use.JsonObject AJsonObject
is a map-like representation of a JSON object.JsonParsingException AJsonParsingException
is thrown whenever there was an error, when attempting to parse a JSON value.JsonPrimitive JsonPrimitive
represents all four JSON primitive types: Nulls, Booleans, Numbers and Strings.JsonPrinter TheJsonPrinter
class is a utility class, used to print JSONs in theirString
representation using a specific set of style options.JsonTokener TheJsonTokener
is used to parseStrings
of JSON data and return them as their respective Java representation (JsonValue
).JsonValue TheJsonValue
is an interface representing all JSON values.JsonValueConverter TheJsonValueConverter
is the converter used byMaxon
to transformStrings
of JSON data to their Java representations and vice-versa.ListConverter TheMapConverter
is used to convertLists
into JSON objects and vice versa.MapConverter TheMapConverter
is used to convertMaps
into JSON objects and vice versa.Maxon TheMaxon
class is the heart of this JSON converter.MaxonConfigurator TheMaxonConfigurator
is used to create aMaxon
object with a custom output.MissingAnnotationException ObjectConverter<T> AObjectConverter
is a more "compact" version of theJsonConverter
.ObjectConverterManager PrimitivesConverter ThePrimitivesConverter
converts all JSON primitive to JSON, as well as from JSON to their respective Java representation.PrintStyle The enumPrintStyle
defines the style of the produce JSON String.Serialize TheSerialize
interface is used to annotate fields that are to be serialized in the serialization process done by theUniversalObjectConverter
.SerializedName The interfaceSerializedName
can be used to annotateEnums
, that are to be converted with theEnumConverter
.UniversalEnumConverter TheEnumConverter
is one of the two universal converters and is in charge of converting all enums.UniversalObjectConverter TheUniversalObjectConverter
is used to provide a way to convert allObjects
by using Java's reflection api.


Scaling Done Right
Main principles of designing scalable systems
How to approach? What is important? Micro-services? Monolithic applications? Serverless?
Storage? Communication? Monitoring? Deployment? Rollbacks? Migrations?
Agenda:
- Introduction Into Scaling
- Amazonian Way of Decision Making
- What Is Important About Scaling
Why?
Why scaling is so important?
Because it is important for your project/buisness!
Opened the curtains at around 07:45. Couldn’t turn on lights just after 08:00. No music in bath, no Alexa news, and couldn’t turn on hot water easily. Not pleased
Can't turn the lights off, can't turn the kettle on, don't know what the weather is outside, can't play any music and cannot ask how far away proximal centuri is.. FML!
I had to sleep with most of the lights on last night because I had taped the light switches ON to force my family use Alexa consistently. :).
All my 7 devises say try again later. 5AM alarm won't not go off until I unplugged it. When I turned it back on the alarm started again. Worst part is, the Alarm is stored locally so it still works... But you can't turn it off because Alexa doesn't respond to voice commands.. like "Alexa, stop"!!!
I didn't realize how helpless I'd become without Alexa... Can't set an alarm; can't play sleep time music; can't check to see if the dog's been fed; can't turn off the bedroom lights without (gasp) using the wall switch; can't turn on the TV without finding the remote the kids buried in one of the sofas; can't set a timer for cooking the dog's breakfast; can't make a phone call from the landline without finding an extension.
Let's prepare for scaling!
For what scale we should prepare? 2x? 5x? 10x?
We're not Google/Amazon/Facebook, why we should care?
Scaling done right can save a lot of money. Be frugal!
How to make a right decision?
Let's make it in Amazon Style: Working Backwards
Press Release (End State)
Our App now can handle 100x more customers if needed without need to change the system (change code)
Customer Experience
Customer Experience should not be affected by the number of users that are currently using the system.
Alternatives/Options
Pros:
- Minimal changes of system
- System is still presented as single piece, so easy to maintain
Cons:
- Data sharing/sync becomes a problem (distributed transactions, consensus)
- You need to pay for resources that may be not used (bigger instance sizes)
Option 1: Just replicate a service
Let's divide into separate services that:
- has all information to function isolated
- knows about each other (can send messages and notify about events)
Pros:
- Each micro-service can be scaled independently (so pay only for used resources)
- Easier to experiment (A/B testing)
Cons:
- Dependency resolution
- Communication between services
- Eventual consistency vs strong consistency (consensus. 2-phase commits)
- Complex deployment
- Complex monitoring
Option 2: Micro-services
Option 3: Serverless
Whole (or part) of the system can be delegated to be run as a "function" on provider's resources.
Pros:
- No operational overhead
- Pay only for resources used
Cons:
- Platform limitations
- (typically) No local storage (stateless)
- Developing/Testing process (offline)
- Endpoint/Invocation management
No matter what option or combination is chosen, there are some very important questions
to be answered in case if you want to have High Quality Service.
(and that's, actually, the main topic of my presentation)
1. General
1.1 Vision: Describe what your service does. This should be mostly from the customer point of view
1.2 Define main activities/operations. For each - dependencies and strict latency goals (p50,p90, p99)
for typical operations (SLA)
2. Risks
2.1 What are main operational risks
2.2 What trade-offs made
2.3 List some actions that were made to reduce radius of customers affected in case of failures
3. Backups
3.1 Regularity of backups
3.2 Recovery procedure.
3.3 Test it. Remove data. Restore from backup.
4. Autoscaling
4.1 Think about drawbacks (not fast enough scale up, undesirable scale downs)
4.2 Partitioning/Shards - how to separate data and how to aggregate
5. Retries
5.1 Defining retry policy, protect from explosive retries
5.2 Test meeting SLAs during retries
5.3 Upstream retries - fail fast?
6. Monitoring
6.1 Define main metrics. Remember: monitoring is not free. Don't forget about dependencies
6.1.1 Success/Error rates. Have max/min values (no traffic - problem).
6.1.2 Latency (p50, p90, p99)
6.1.3 Throttling (from dependencies!)
6.2 Define thresholds: from informative and to alarms
6.3 Create dashboard. Schedule regular reviews
6.4 Test it. Check memory leaks - run test for several days without restart (weekends)
6.5 Have a single Red/Green light about your service
7. Logging
7.1 Log exceptions. Don't use exceptions for BL.
7.2 If you have micro-services, have possibility to track by single request
8. Plan capacity.
8.1 Order resources from platform before they needed.
8.2 If you plan spike (SMM), test system under planned load
8.3 Always operate on costs ($$$)
9. Testing
8.1 Unit/Integration/E2E test - must have.
8.2 Track freshness of test data
8.3 Canary Tests: checking what should be always OK (connectivity, access, quotas)
8.4 Canary Deployments: test on some part of your customers
8.5 Break your service. Know when and how.
10. Automate everything (CI/CD/recreation of everything)
11. Communication
11.1 Have clear channels to notify your customers about changes (operational, API)
11.2 Gather regular feedbacks/suggestions
11.3 Define ticketing system, triage process.
Scaling Done Right
35">
Valentyn Shybanov
https://olostan.name
olostan@gmail.com


{% verbatim %}
In PaddlePaddle, we use parallel_do primitive to represent multithread data parallel processing.
The definition of a parallel_do op looks like the following
AddInput(kInputs, "Inputs needed to be split onto different devices").AsDuplicable();
AddInput(kParameters, "Parameters are duplicated over different devices")
.AsDuplicable();
AddInput(kPlaces, "Devices used for parallel processing");
AddOutput(kOutputs, "Outputs needed to be merged from different devices").AsDuplicable();
AddOutput(kParallelScopes,
"Scopes for all local variables in forward pass. One scope for each device");
AddAttr<framework::BlockDesc *>(kParallelBlock,
"List of operaters to be executed in parallel");
A vanilla implementation of parallel_do can be shown as the following (|
means single thread and
||||
means multiple threads)
In the forward pass
| Split input onto different devices
| Copy parameter onto different devices
|||| Compute forward pass in parallel
| Merge output from different devices
In the backward pass
| Split output@grad onto different devices
|||| Compute backward pass in parallel
| accumulate param@grad from different devices to the first device
| Merge input@grad from different devices
| Copy param@grad to the place of parallel_do_op
This implementation allows to write mixed device program like this
W1 = fluid.tensor(size=[100,20], parameter=true)
W2 = fluid.tensor(size=[20,15], parameter=true)
data = layers.data()
gpu_places = layers.get_place(use_gpu=True)
# parallel processing on multiple GPUs
pd = ParallelDo(gpu_places)
with pd.do(input=data):
prediction = softmax(fc(fc(data, W1), W2))
write_output(prediction)
prediction = pd()
loss = cross_entropy(prediction, label)
And the programDesc are like the following
# start_program will be run by executor(CPUPlace), all w1, w2 will be allocated on CPU
start_program
{
vars: w1, w2
ops: init(w1), init(w2)
}
main_program
{
block0 {
vars: data, places, w1, w2, w1_grad, w2_grad,
ops: data, get_place, parallel_do(block1),
parallel_do_grad(block2),
sgd(w2, w2_grad),
sgd(w1, w1_grad)
}
block1 { # the forward pass
parent_block: 0
vars: data, h1, h2, loss
ops: fc, fc, softmax
}
block2 { # the backward pass
parent_block: 1
vars: data_grad, h1_grad, h2_grad, loss_gard, local_w1_grad, local_w2_grad
ops: softmax_grad,
fc_grad
fc_grad
}
}
There are serial places we can make this parallel_do faster.
If the input of the parallel_do is independent from any prior opeartors, we can avoid this step by prefetching the input onto different devices in a seperate background thread. And the python code looks like this.
pd = ParallelDo(gpu_places)
with pd.do():
feature = get_data_from_prefetch_queue(gpu_places)
prediction = my_net(feature)
write_output(activation)
We can avoid this step by making each device have a copy of the parameter. This requires:
fluid.default_start_up_program()
to be run on all devicesbackward.py
add allreduce
operators at parallel_do_gradallreduce
operators need to be called in async mode to achieve maximum throughputBy doing so, we also avoided "backward: accumulate param@grad from different devices to the first device". And the ProgramDesc looks like the following
# w1, w2 will be allocated on all GPUs
start_program
{
block0 {
parallel_do(block1)
}
block1 {
parent_block: 0
vars: w1, w2
ops: init(w1), init(w2)
}
}
main_program
{
block0 {
vars: data, places, w1, w2
ops: data, get_place, parallel_do(block1),
parallel_do_grad(block2), # append_backward
parallel_do(block3) # append_optimization
}
block1 {
parent_block: 0
vars: data, h1, h2, loss
ops: fc, fc, softmax
}
block2 {
parent_block: 1
vars: data_grad, h1_grad, h2_grad, loss_gard, w1_grad, w2_grad
ops: softmax_grad,
fc_grad, allreduce(places, scopes, w1_grad),
fc_grad, allreduce(places, scopes, w2_grad)
}
block3 {
parent_block: 0
vars: lr
ops: sgd(w2, w2_grad),
sgd(w1, w1_grad)
}
}


Spotify Music Search
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Which of the following possible reasons BEST explains why a SortedList implementation would not need the method, add(int newPosition, T newEntry)?
The SortedList add(newEntry) method has the responsibility of adding new entries in sorted order, as a result Client code would no longer be required to, or be allowed to, specify the location of the new entries by using add(int newPosition, T newEntry).
- To reduce the number of lines of code required
- The behavior achieved through the add(int newPosition, T newEntry) could also be achieved by combining other SortedList methods.
- The contains method could be used instead.
There are no hints for this question.


PMD Results
The following document contains the results of PMD 5.6.1.
Files
com/edgardleal/asteroide/Mosquito.java
| Violation |
Line |
| Useless parentheses. |
42 |
| Overriding method merely calls super |
53–62 |
com/edgardleal/asteroide/Nave.java
| Violation |
Line |
| Overriding method merely calls super |
123–125 |
com/edgardleal/canhao/Bala.java
| Violation |
Line |
| Overriding method merely calls super |
55–57 |
com/edgardleal/engine/Cenario.java
| Violation |
Line |
| Avoid empty if statements |
69–74 |
| These nested if statements could be combined |
186–188 |
com/edgardleal/engine/CenarioListener.java
| Violation |
Line |
| Avoid modifiers which are implied by the context |
24 |
com/edgardleal/engine/Colidivel.java
| Violation |
Line |
| Avoid modifiers which are implied by the context |
16 |
| Avoid modifiers which are implied by the context |
22 |
| Avoid modifiers which are implied by the context |
28 |
| Avoid modifiers which are implied by the context |
34 |
| Avoid modifiers which are implied by the context |
40 |
| Avoid modifiers which are implied by the context |
46 |
com/edgardleal/engine/KeyListener.java
| Violation |
Line |
| Avoid modifiers which are implied by the context |
10 |
| Avoid modifiers which are implied by the context |
16 |
com/edgardleal/engine/MediaCenter.java
| Violation |
Line |
| Avoid empty catch blocks |
223–225 |
com/edgardleal/engine/Printable.java
| Violation |
Line |
| Avoid modifiers which are implied by the context |
12 |
com/edgardleal/engine/Tickeable.java
| Violation |
Line |
| Avoid modifiers which are implied by the context |
14 |
com/edgardleal/engine/Vetor.java
| Violation |
Line |
| Useless parentheses. |
39 |
com/edgardleal/engine/animation/FrameListener.java
| Violation |
Line |
| Avoid modifiers which are implied by the context |
16 |
| Avoid modifiers which are implied by the context |
22 |
com/edgardleal/engine/animation/Trajectory.java
| Violation |
Line |
| Avoid empty catch blocks |
167–169 |
com/edgardleal/telas/Fase01.java
| Violation |
Line |
| These nested if statements could be combined |
115–117 |
com/edgardleal/telas/Main.java
| Violation |
Line |
| Avoid empty catch blocks |
145–146 |
com/edgardleal/telas/Menu1.java
| Violation |
Line |
| Overriding method merely calls super |
48–51 |


The views interface is only available on nodes running the Data service. You may access the interface here: {{viewsCtl.kvNodeLink}}


Tools for Clustering and Principal Component Analysis (With robust methods, and parallelized functions).
| Version: | 0.8-16 |
| Depends: | R (≥ 2.10.0) |
| Suggests: | Biobase |
| Published: | 2018-05-14 |
| Author: | Antoine Lucas |
| Maintainer: | Antoine Lucas <antoinelucas at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| URL: | http://mulcyber.toulouse.inra.fr/projects/amap/ |
| NeedsCompilation: | yes |
| In views: | Cluster, Environmetrics, Multivariate |
| CRAN checks: | amap results |
| Reference manual: | amap.pdf |
| Vignettes: |
Introduction to amap |
| Package source: | amap_0.8-16.tar.gz |
| Windows binaries: | r-devel: amap_0.8-16.zip, r-release: amap_0.8-16.zip, r-oldrel: amap_0.8-16.zip |
| OS X binaries: | r-release: amap_0.8-16.tgz, r-oldrel: amap_0.8-16.tgz |
| Old sources: | amap archive |
| Reverse depends: | bios2mds, MSeasy, swamp |
| Reverse imports: | ChemoSpecUtils, plspm |
| Reverse suggests: | extracat, hamlet, kselection, pmml, rattle, REPPlab, supc |
Please use the canonical form https://CRAN.R-project.org/package=amap to link to this page.


| Flight | Distance (miles) | Arrival Status | |
|---|---|---|---|
| {{flight.name | uppercase}} | {{flight.distance}} | {{flight.arrivalTime | uppercase}} |
Add a randomised Flight by clicking the button below or the icon on the Arrivals board.
So whats happening?
When you click the button, you access the FlightsComponent add method. This generates a random flight name and distance. It then passes these values to the FlightService addFlight method. It then adds an instance of the Flight class to the currentFlights array stored within the FlightService.
The constructor of each Flight class starts a timer, which subtracts the average speed of a 747 (520 mph) from the distance. The FlightsComponent basically just relays this information to the html view.


First week
Posted July 11, 2016 by Matt Kraatz
Four months ago I decided to shift my career’s trajectory to the world of software development, and last week that journey officially began when I had my first day of class at Nashville Software School (NSS). In that short interim I’ve traveled several thousand miles around the country, been a groomsman in two weddings, experienced four music festivals, created hundreds of snaps and completed 80+ hours of prework for NSS. My transition back to a normal routine has been going well.
Being back in the classroom–almost five years exactly since I graduated from Belmont University–has been both refreshing and humbling. Humbling, in that I am intentionally putting myself into a domain that I know nothing about. But refreshing, likewise, when I hear from my teachers, mentors and colleagues that you never quite stop feeling like a sophomore (read: idiot).
On the first day, after the typical orientation and introductions, we were invited to watch capstone presentations from another class that were 12 weeks (half-way) through the program. From these individual projects I was able to begin setting personal expectations for my progress through NSS and even started brainstorming what my front-end capstone could be. I am glad to have such realistic expectations formed so early.
Through the rest of the week, I set up the developer environment on my computer, learned my way around the Bash terminal and dived into review of HTML and CSS fundamentals. I was already very confident with the HTML and CSS concepts, as much of that was already covered in detail in the pre-work. However, getting used to the terminal was enlightening, and allowed me to complete a variety of standard tasks on my system with new agility.
Furthermore, during live coding exercises, I witnessed immediately how powerful a comprehensive knowledge of keyboard shortcuts can be. Many actions that I use my mouse for can be completed just as easily with shortcuts, and then my hands never have to leave the keyboard.
I am settling into the world of development, and getting only more excited as the class ramps up in intensity over the next couple of weeks. Stay tuned for more posts marking my development at Nashville Software School and in the developer community at large.


- MacroBlock - Class in linkjvm.ardrone.video
-
- mode() - Method in class linkjvm.low.create.Create
-
- Motor - Class in linkjvm.low.motors
-
- Motor(int) - Constructor for class linkjvm.low.motors.Motor
-
- motor(int) - Method in class linkjvm.low.motors.Motor
-
- Motor - Class in linkjvm.motors
-
Represents a motor object with a given port.
- Motor(int) - Constructor for class linkjvm.motors.Motor
-
Creates a new Motor object.
- Motor_backward(long, Motor) - Static method in class linkjvm.low.motors.linkjvm_motorJNI
-
- Motor_blockMotorDone(long, Motor) - Static method in class linkjvm.low.motors.linkjvm_motorJNI
-
- Motor_clearPositionCounter(long, Motor) - Static method in class linkjvm.low.motors.linkjvm_motorJNI
-
- Motor_forward(long, Motor) - Static method in class linkjvm.low.motors.linkjvm_motorJNI
-
- Motor_freeze(long, Motor) - Static method in class linkjvm.low.motors.linkjvm_motorJNI
-
- Motor_isMotorDone(long, Motor) - Static method in class linkjvm.low.motors.linkjvm_motorJNI
-
- Motor_motor(long, Motor, int) - Static method in class linkjvm.low.motors.linkjvm_motorJNI
-
- Motor_moveAtVelocity(long, Motor, short) - Static method in class linkjvm.low.motors.linkjvm_motorJNI
-
- Motor_moveRelativePosition(long, Motor, short, int) - Static method in class linkjvm.low.motors.linkjvm_motorJNI
-
- Motor_moveToPosition(long, Motor, short, int) - Static method in class linkjvm.low.motors.linkjvm_motorJNI
-
- Motor_off(long, Motor) - Static method in class linkjvm.low.motors.linkjvm_motorJNI
-
- Motor_pidGains(long, Motor, long, long, long, long, long, long) - Static method in class linkjvm.low.motors.linkjvm_motorJNI
-
- Motor_port(long, Motor) - Static method in class linkjvm.low.motors.linkjvm_motorJNI
-
- Motor_setPidGains(long, Motor, short, short, short, short, short, short) - Static method in class linkjvm.low.motors.linkjvm_motorJNI
-
- MotorFactory - Class in linkjvm.low.factory
-
- MotorFactory() - Constructor for class linkjvm.low.factory.MotorFactory
-
- move(int, int) - Method in class linkjvm.create.Create
-
Moves the to a specific position.
- move(short, int) - Method in class linkjvm.low.create.Create
-
- move3D(int, int, int, int) - Method in class linkjvm.ardrone.ARDrone
-
- move3D(int, int, int, int) - Method in interface linkjvm.ardrone.ARDroneInterface
-
- move3D(int, int, int, int) - Method in class linkjvm.ardrone.command.CommandManager
-
- moveAtVelocity(short) - Method in class linkjvm.low.motors.Motor
-
- moveAtVelocity(int) - Method in class linkjvm.motors.Motor
-
Moves the motor at velocity with the specified ticks per seconds.
- moveRelativePosition(short, int) - Method in class linkjvm.low.motors.Motor
-
- moveToPosition(short, int) - Method in class linkjvm.low.motors.Motor
-
- moveToPosition(int, int) - Method in class linkjvm.motors.Motor
-
Moves the motor to the specified position at the specified.
- moveToRelativePosition(int, int) - Method in class linkjvm.motors.Motor
-
Moves the motor from its current position to current position + pos.
- msleep(long) - Static method in class linkjvm.Botball
-
Lets the current thread sleep for a specified time.


--- layout: post title: "Laniakea unscheduled maintenance" subtitle: "Problems with Encryption for new insteances" date: 2021-11-12 006:00:00 -0400 background: '/img/posts/all_systems_go.jpg' ---
Dear Users,
due to some issues with the storage encryption procedure, the functionality is currently unavailable.
This would not affect previous instances.
We are working hard to fix the problem.
Thanks a lot for your understanding.
The Laniakea team.


NA
–> tagged_na
)Base R supports only one type of NA (‘not available’) to represent missing values. The CCHS, however, has several types of missing data or incomplete category responses. cchsflow
uses the haven
package tagged_na()
to allow multiple missing data categories. tagged_na()
adds an addition character to the NA value, thereby allowing users to define additional missing data types. tagged_na()
applies only for numeric values, as character base values can use any string to represent NA or missing data.
CCHS category values can change across variables and survey cycles, but the most common values are:
| CCHS category value | Label |
|---|---|
| 6 | not applicable |
| 7 | don’t know |
| 8 | refusal |
| 9 | not stated |
cchsflow
recodes the four CCHS category missing data categories values into two NA values that are commonly used for most studies. NA(a) = ‘not applicable’ and NA(b) = ‘missing’. Furthermore, variables may be entirely missing from a specific cycle, which results in ‘not asked’ missing data that is not included or coded in CCHS surveys, recoded to NA(a)
Summary of tagged_na
values and their corresponding CCHS category values.
cchsflow tagged_na
|
CCHS category value | Label |
|---|---|---|
| NA(a) | 6 | not applicable |
| NA(b) | 7 | don’t know |
| NA(b) | 8 | refusal |
| NA(b) | 9 | not stated |
| NA(c) | question not asked in the survey cycle |
haven::tagged_na()
library(haven)
x <- c(1:5, tagged_na("a"), tagged_na("b"))
# Is used to read the tagged NA in most other functions they are still viewed as NA
na_tag(x)
## [1] NA NA NA NA NA "a" "b"
# Is used to print the na as well as their tag
print_tagged_na(x)
## [1] 1 2 3 4 5 NA(a) NA(b)
# Tagged NA's work identically to regular NAs
x
## [1] 1 2 3 4 5 NA NA
is.na(x)
## [1] FALSE FALSE FALSE FALSE FALSE TRUE TRUE
See the derived variables and how to add variables for details on derived variables and how to add them.
When creating derived variables from CCHS variables, it is important to distinguish the different NA values. Certain derived variables include the use of variables that may not be applicable to respondents. For example, smoking pack-years involves the use of smoking variables that may not be applicable to all CCHS respondents (i.e. non-smokers who have never smoked). In this scenario, respondents who had values of NA(a)
for the various base smoking variables would have a value of NA(a)
for smoking pack-years. Respondents who had identified as having smoked at one point in their lives, but had values of NA(b)
in the base smoking variables would have a value of NA(b)
for smoking pack-years as pack-years cannot be calculated due to missing values.
On the other hand, there are certain derived variables that use variables that are applicable to all respondents. For example, BMI uses CCHS height and weight variables which are asked to all CCHS respondents. In this scenario, all NA variables would be tagged as NA(b)
as these variables are applicable to everyone, and respondents with NA values would be classified as missing.
When creating deriving variables, it is important to examine the base CCHS variables to check for the presence of NA(a)
and NA(b)
. This can be done by reviewing the CCHS documentation.


WE'RE ALL ABOUT
" As a business owner or entrepreneur, you work constantly to grow your
dreams of success. Our online marketing and web design agency in Mumbai
makes it easier by providing you with the proven strategies and
resources you need to reach more people, drive massive traffic, and
skyrocket profits – all at a price that fits your budget. "
THE HOW & WHY
Pillars of Our Process
Collaboration
We involve our clients in workﬂows and progress. Transparency and collaborative team work is crucial.
Our process
Turn your applications into a “heavy lifting conversion machine”
Constant iteration
Iteration is the key of a successful product. We always have to validate hypothesis, measure how the product works, learn about users, monitor performance, study analytics, because we know well that “Design is how it works.”
Start with something...
Improve what you started with...
Keep improving...
keep enhancing...
Achieve your target...
Long-term support
We support our clients and projects in the long term, because deployment doesn't mean the end of the project.
Technology Capabilities
Our skills are constantly evolving based on the needs of our partners — from open-source to licensed enterprise tools, we stay sharp.
Why choose us ?
More than an impressive list of offerings, we care about how those offerings work together to build something remarkable.


When you create a new wallet, new Tezos seed words are generated.
Make sure to back it up, write it down, and keep it incredibly safe.
{{ formatVerifyDescription(MNEMONIC.verify[0] + 1) }}
This password will be used to create an encrypted keystore file.
When performing operations that need to be signed with your secret key, this password will be required
{{ 'NEWWALLETCOMPONENT.PASSWORDSTRENGTH' | translate }} — {{ pwdStrength }}Your wallet is now set up and ready to be used.
Download your encrypted keystore file and import it when you want to access your wallet.
Your public account address: {{ getPkh() }}


Interested in The Opposite of People? Add yourself to TOOP's Prospective Member Mailing List and stay informed about Club news and activities.
who is The Opposite of People?
To encourage vigorous participation in University life and a general advancement of the arts in the community, by the fostering and promotion of widespread dramatic literacy.


HOSTNAME
Section: Linux Programmer's Manual (1)Updated: 28 Jan 1996
Index Return to Main Contents
NAME
hostname - show or set the system's host namedomainname - show or set the system's NIS/YP domain name
dnsdomainname - show the system's DNS domain name
nisdomainname - show or set system's NIS/YP domain name
ypdomainname - show or set the system's NIS/YP domain name
SYNOPSIS
hostname [-v] [-a] [--alias] [-d] [--domain] [-f] [--fqdn] [-A] [--all-fqdns] [-i] [--ip-address] [-I] [--all-ip-addresses] [--long] [-s] [--short] [-y] [--yp] [--nis]
hostname [-v] [-F filename] [--file filename] [hostname]
domainname [-v] [-F filename] [--file filename] [name]
nodename [-v] [-F filename] [--file filename] [name]
hostname [-v] [-h] [--help] [-V] [--version]
dnsdomainname
[-v]
nisdomainname
[-v]
ypdomainname
[-v]
DESCRIPTION
Hostname is the program that is used to either set or display the current host, domain or node name of the system. These names are used by many of the networking programs to identify the machine. The domain name is also used by NIS/YP.GET NAME
When called without any arguments, the program displays the current names:
hostname will print the name of the system as returned by the gethostname(2) function.
domainname, nisdomainname, ypdomainname will print the name of the system as returned by the getdomainname(2) function. This is also known as the YP/NIS domain name of the system.
dnsdomainname will print the domain part of the FQDN (Fully Qualified Domain Name). The complete FQDN of the system is returned with hostname --fqdn.
The function gethostname(2) is used to get the hostname. When the hostname -a, -d, -f or -i is called will gethostbyname(3) be called. The difference in gethostname(2) and gethostbyname(3) is that gethostbyname(3) is network aware, so it consults /etc/nsswitch.conf and /etc/host.conf to decide whether to read information in /etc/sysconfig/network or /etc/hosts
To add another dimension to this, the hostname is also set when the network interface is brought up.
SET NAME
When called with one argument or with the --file option, the commands set the host name, the NIS/YP domain name or the node name.
Note, that only the super-user can change the names.
It is not possible to set the FQDN or the DNS domain name with the dnsdomainname command (see THE FQDN below).
The host name is usually set once at system startup in /etc/rc.d/rc.inet1 or /etc/init.d/boot (normally by reading the contents of a file which contains the host name, e.g. /etc/hostname).
THE FQDN
You can't change the FQDN (as returned by hostname --fqdn) or the DNS domain name (as returned by dnsdomainname) with this command. The FQDN of the system is the name that the resolver(3) returns for the host name.
Technically: The FQDN is the name gethostbyname(2) returns for the host name returned by gethostname(2). The DNS domain name is the part after the first dot.
Therefore it depends on the configuration (usually in /etc/host.conf) how you can change it. Usually (if the hosts file is parsed before DNS or NIS) you can change it in /etc/hosts.
If a machine has multiple network interfaces/addresses or is used in a mobile environment, then it may either have multiple FQDNs/domain names or none at all. Therefore avoid using hostname --fqdn, hostname --domain and dnsdomainname. hostname --ip-address is subject to the same limitations so it should be avoided as well.
OPTIONS
- -a, --alias
- Display the alias name of the host (if used).
- -d, --domain
- Display the name of the DNS domain. Don't use the command domainname to get the DNS domain name because it will show the NIS domain name and not the DNS domain name. Use dnsdomainname instead.
- -F, --file filename
- Read the host name from the specified file. Comments (lines starting with a `#') are ignored.
- -f, --fqdn, --long
- Display the FQDN (Fully Qualified Domain Name). A FQDN consists of a short host name and the DNS domain name. Unless you are using bind or NIS for host lookups you can change the FQDN and the DNS domain name (which is part of the FQDN) in the /etc/hosts file. See the warnings in section THE FQDN above, and avoid using this option; use hostname --all-fqdns instead.
- -A, --all-fqdns
- Displays all FQDNs of the machine. This option enumerates all configured network addresses on all configured network interfaces, and translates them to DNS domain names. Addresses that cannot be translated (i.e. because they do not have an appropriate reverse DNS entry) are skipped. Note that different addresses may resolve to the same name, therefore the output may contain duplicate entries. Do not make any assumptions about the order of the output.
- -h, --help
- Print a usage message and exit.
- -i, --ip-address
- Display the IP address(es) of the host. Note that this works only if the host name can be resolved. Avoid using this option; use hostname --all-ip-addresses instead.
- -I, --all-ip-addresses
- Display all network addresses of the host. This option enumerates all configured addresses on all network interfaces. The loopback interface and IPv6 link-local addresses are omitted. Contrary to option -i, this option does not depend on name resolution. Do not make any assumptions about the order of the output.
- -s, --short
- Display the short host name. This is the host name cut at the first dot.
- -V, --version
- Print version information on standard output and exit successfully.
- -v, --verbose
- Be verbose and tell what's going on.
- -y, --yp, --nis
- Display the NIS domain name. If a parameter is given (or --file name ) then root can also set a new NIS domain.
FILES
/etc/hosts /etc/sysconfig/networkNOTE
Note that hostname doesn't change anything permanently. After reboot original names from /etc/hosts are used again.AUTHOR
Peter Tobias<EMAIL_ADDRESS>Eckenfels<EMAIL_ADDRESS>(NIS and manpage).
Steve Whitehouse<EMAIL_ADDRESS>(DECnet support and manpage).
Index
This document was created by man2html, using the manual pages.
Time: 05:29:04 GMT, December 24, 2015


Best Mid-Range Mobile Companies in the market.
Best Mid-Range Mobile Companies in the market.
All Company is best in their own.
For example, if you want good performance at a low price you can choose Poco.
But If you want to choose a camera you can choose you can go for Redmi | Realme.
Vivo | Oppo is also good but you need to pay some more money.
If you can pay some more money I will recommend you to buy Samsung because it has Very Good Software | Its Software is the best-andoried software
but for that, you need to buy its flagship That price starts from 50,000 INR but its mid-range also have a very good software in their price if
want a Good and Secure UI then you can choose Samsung | Best For Normal users.
Next is Realme and it is the best mid-range brand if you can't pay some more for Samsung then Realme is for you because it has a very awesome UI
with ads but you will find some unwanted apps when you buy first-time boot the mobile but you can easily delete them and after than you will find
no unwanted apps and its software's security is ok | It also provides the best specifications in mid-range after Xiaomi but Xiaomi has UI have ads
but the ads may fix after an update. So, after that, you can but Xiaomi Phone may be recommended.
Problems of Realme | Xiaomi | Maybe Oppo also Have.
- When you call a user and want to record its call then when you will on the record button | Your mobile will send a message to another person that
this call is recording | This will become an advantage for Vivo | Samsung | Maybe Oppo.
- We are not sure about oppo may oppo have or did not have this problem so you can watch any video on youtube for this if you want to choose oppo mobile.
Disclaimer
- You can copy this information for non-profitable use.
- But You cannot copy this information for profitable use if you want to copy it for profitable use you need to take permission from us | For
permission mail us on<EMAIL_ADDRESS>and need to give royalty to us.
- The information we provide is not granted as 100% True.
- Do not take design before reading full information because half information is dangerous.
- This content is under unknowntech.
- May This information also have spelling mistake but it is checked by grammarly.
- We did not Show ads | We did not Take your information data.
[ Thanks for Reading ]


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Spending my first 15 years in a small city, Guiyang in China, living in big city Beijing for 4 years, now I am facing my 5th year in the wonderful place, Toronto. I have get used to changing in environment and enjoy it. This lead to my trying in different roles and things. I tried from marketing jobs to technical jobs. I never stop trying new things, but my goal is determined, to be a software developer, a integrated developer who have deep understanding of products, customers and market. I'm still on my way
Designing algothrim is cool, working on system security is cool as well, there are so many cool things in computer science area. But I believe developing applications is the first step to understand this area. So as my first step, I developed appliations. Some are simple, some are difficult, some may never go online, some are already released and got thounsands of visits, some are just used for displaying, some may deal with real customers' database. Anyway, it is too tempting to stop, it's so cool
Applications
Visited
Projects
I got exposed to photography not for long time, but really enjoy it. In fact, I enjoy not only in the photos I get, but also the attitude photography brings to me. It encourages me to meet more people, to visit more places, to explore infinite potential in the world. To stay out in a cold night with friends, to talk with a stranger who is in beautiful clothes, to climb mountains and get better views, these are what photogrpahy gives to me
Years
Series
Shutters
Music is always what can make me relaxed, I just calm down and enjoy it. And guitar is the instrument I keep practicing. I like pure music more, I believe this requires more serious practicing and thus makes me advance, but I also sing with guitar, this brings laugh and fun to my friends. I also play the guitar for hospitals and nursing houses, hoping to bring the healing power of music to them
Years
Solo
Accompanyplay
- Participated in publishing 3 web applications, helping over 1000 health institutions with bed census data and budgeting.
- Implemented backend SQL scripts, application controllers and clients’ side scripts.
- Refactored code and adjusted UI, successfully passing AODA compliance.
- Participated in meeting clients and model design.
- Implemented RESTful APIs for a web application, achieving 5000 registration.
- Participated in model, controller design and implementation for a CRM system.
- Helped to adjust, optimize code for an AI model.
- Tested function and reliability of a mobile app with different devices in different situations.
- Participated in adjusting app description and update notes in different app stores.
- Helped to organize and collect data during experiment.
- Performed simple data collecting and analyzing function.
- Contacted previous customers to get feedback.
- Promoted sales by getting in touch with potential customers.
Learned courses about algorithm, web, computer system, database, tranditional AI, neural network, etc. Got experience with Python, Java, JavaScript, C, SQL and framework like React, Bootstrap. Also learned courses about entrepreneurship and management to enhance performance in company


mysql_num_fields (PHP 4, PHP 5) mysql_num_fields — 取得结果集中字段的数目 说明 int mysql_num_fields ( resource $result ) mysql_num_fields() 返回结果集中字段的数目。 参见 mysql_select_db()，mysql_query()，mysql_fetch_field() 和 mysql_num_rows() 。 为向下兼容仍然可以使用 mysql_numfields()，但反对这样做。 User Contributed Notes 5 notes =============================================================================== You can use it without a requete, just to list the fields : $liste_champs = mysql_list_fields ( $Base, $Table, $connexion); for ($i=0; $i < mysql_num_fields ($l_champs); $i++) { echo ( mysql_field_name ($l_champs, $i) ); echo (' / '); } =============================================================================== Note that, if you want to get the amount of columns of a table and you're using the "SHOW COLUMNS FROM $table" query, you will have to use mysql_num_rows() instead of mysql_num_fields() on the result. This becomes logical when thinking about it, because the SHOW COLUMNS query returns a result with six columns (Field, Type, Null, Key, Default and Extra) and with a single row for every column found. If you'd count the number of fields, you'd always get 6. If you count the number of rows, you'll get the amount of columns found. =============================================================================== Adding to the last comment: you can dynamically loop through any number of columns AND rows like so- $query="your SQL"; $result=mysql_query($query) or die("Query ($query) sucks!"); $fields=mysql_num_fields($result); echo "
| ".mysql_field_name($result, $i)." | "; } echo "
|---|
| $row[$f] | "; } echo "
"; This has been tested. =============================================================================== here's one way to print out a row of


Test Application
This is a test application for the BAT project.
BAT is an application written in C++ that loads a web page from the Internet or from the local machine.
Features
The HTML applications for desktop are very easy to develop. The project contains the following features:
- load any HTML page from Internet or from the local machine
- simple API
- cross platform
- contributing is simple
- open source project
API
Still in developement. The following feature will be or were already built:
- set window width (✔)
- set window height (✔)
- load HTML pages (✔)
- close window
- set window title


×
How To Play
The game has 10 of my favorite locations hidden. The objective of the game is to find these hidden locations using the hint and zoom options provided to you. If you are having a hard time finding the locations, simply click "win now!"


XMLhack
- RNV: C-based Relax NG validator
RNV
is a command-line tool for validating XML documents against
schemas written in Relax NG compact syntax. Developed by David Tolpin and written
in portable ANSI C, it's fast, lightweight, and provides very good
reporting about validity errors in documents.
- A RDDL repository of core datatypes
The French National Institute of Statistics and Economic Studies (INSEE) has published a
first release (in French) of their
identification and classification XML datatypes as a RDDL repository.
- XML Europe 2004 late-breaking talks finalized
The schedule for XML Europe 2004 (April 19-21, Amsterdam, The Netherlands) has been finalized. In addition to keynotes from Amazon's Jeff Barr and the W3C's Steven Pemberton, the late-breaking talks add news from the most recent work in the XML world.
- Registration deadline near for XML Europe 2004
There's only a few days left to sign up for the tutorials and presentations at XML Europe 2004, the major European gathering of the XML world. The conference will be held from 18-21 April in Amsterdam, The Netherlands.
- Panel discusses SQL, XML, Web Services, and Grid Computing
In a panel discussion at Software Development 2004 entitled "Marrying SQL, XML, Web Services and Grid Computing", Peter Coffee of eWEEK magazine best summarized the state of these four technologies when he said that customers would not abandon SQL, wanted to use XML to repurpose data, and considered Web Services the default implementation strategy for many projects. On the other hand, they felt grid computing was still three to five years away.
- TeXML: an XML vocabulary for TeX
TeXML is an XML vocabulary for TeX. The processor transforms TeXML markup into the TeX markup, escaping special and out-of-encoding characters. Intended audience is developers who convert documents from XML to TeX.
- That's all for now
It's been a lot of fun writing XMLhack since 1999, but it's time for us to take a rest.
- Announcing Planet XMLhack
Although we don't have time to write XMLhack stories at the moment, we're pleased to announce the launch of a new service, Planet XMLhack, aggregating weblogs of the XML developer community.


Rambuta Live Demo
This
is a live demo for Rambuta, a startup out of
Oregon State University
.
Author:
Jonah Siekmann


Angular Admin LTE is an implementation of the Admin LTE theme. It comes with native angular components and directive and do not need JS dependencies. It provides a layout module witch comes with components for header, sidebar right & left, footer...
Angular Admin LTE is available at npm, if you have an existing application run the following command to download it to your project.
Angular Admin LTE is distributed in commonjs format, a module manager of your choice is required.
npm install angular-admin-lte --save
UI components are configured as modules, once Angular Admin LTE is downloaded and configured, modules and apis can be imported from 'angular-loading-page' shorthand in your application code.
import { LayoutModule } from 'angular-admin-lte'; //Loading layout module
import { BoxModule } from 'angular-admin-lte'; //Box component
Angular Admin LTE have no JS dependencies but still need Admin LTE and Bootstrap CSS. You can also use FontAwesome and Ionicons as it is used by default in Admin LTE.
"styles": [
"node_modules/bootstrap-css-only/css/bootstrap.min.css",
"node_modules/font-awesome/css/font-awesome.css", // optional
"node_modules/ionicons/css/ionicons.css", // optional
"node_modules/admin-lte-css/dist/css/AdminLTE.css",
"node_modules/admin-lte-css/dist/css/skins/_all-skins.css"
]


Completed {{completed_count}} of {{total_count}} questions ({{(100*completed_count)//total_count}}%)
Step 2 / 4
Great job! We appreciate your honest answers.
The following questions are about volunteering. Please try to answer them as good as you can.


Welcome to TheConsole by Dragan Ilievski. Write your preferred commands in the bottom input area and press Enter to submit. If you would like to list all commands, type "help".


--- layout: article status: publish published: true title: 'Abusing Emoji in iOS and Your Mac ' author: display_name: Bart Dorsey login: bart email<EMAIL_ADDRESS>url: http://bartdorsey.com author_login: bart author_email<EMAIL_ADDRESS>author_url: http://bartdorsey.com wordpress_id: 192 wordpress_url: http://bartdorsey.com/?p=192 date: '2014-02-01 08:16:01 -0500' date_gmt: '2014-02-01 08:16:01 -0500' categories: - Uncategorized tags: [] comments: [] ---
This is just wrong. But I'm sure @caseyliss would like it.


FEATURED STORIES
Stimulus Gains Renewed Urgency Amid U.S. COVID Surge, Weak Jobs Data
Lawmakers from both parties stressed the need to pass a stimulus bill by the end of the year as Congress considers a $900 billion bipartisan proposal that does not include checks.


{% extends "base.html" %} {% block title %}API Documentation{% endblock %} {% block heading %}API Documentation{% endblock %} {% block content %} {# Get URLs dynamically so that we could mount the `api` blueprint on either a URL prefix or a subdomain and these instructions would still be correct. #}
All API endpoints are relative to {{ url_for('api.not_found', _external=True)[:-1] }}
, so requests to the /categories/
endpoint should be made to {{ url_for('api.categories', _external=True) }}
.
{% if current_user.is_authenticated %}
Once you Log in, you can find your API key here.
{% endif %} {% filter doc_markdown %}{% include "api.md" %}{% endfilter %} {% endblock content %}


module BTCPoW
Overview
A Bitcoin style Proof of Work library for Crystal Mostly inspired by @aantonop's proof of work example https://github.com/bitcoinbook/bitcoinbook/blob/develop/code/proof-of-work-example.py
Extended Modules
Defined in:
Instance Method Summary
-
#mine(difficulty nbits : String, for input_data : InputData) : Work
Returns the nonce and the hash found for the given data input and difficulty


The Enrich From Multi-Variable Grid tool efficiently joins attributes from a multi-variable grid to a point layer.
A multi-variable grid is any layer created with the Build Multi-Variable Grid tool, which compiles attributes from multiple layers into a single grid of polygons. Using a multi-variable grid for enrichment allows you to quickly add large and diverse collections of information to point data for use in further spatial analysis.
For example, suppose you've obtained a layer of new crime events that have occurred in the past year throughout a city. You want to model the relationships between crime frequency and a variety of demographic, economic, and geographic factors. You have access to data that describes these factors, but it is stored in five different layers with differing geometry types. In addition, some layers are stored in a big data file share while others are stored as feature services. By creating a multi-variable grid to store this information and then joining the grid to your crime events with the Enrich From Multi-Variable Grid tool, you are able to efficiently join a wide variety of attributes to your point layer with only two tool runs. You can then use the joined attributes as explanatory variables and begin to build a model of crime frequency with the result layer.
The point features that will be enriched by the multi-variable grid.
In addition to choosing a layer from your map, you can choose Choose Analysis Layer at the bottom of the drop-down list to browse to your contents for a big data file share dataset or feature layer.
The multi-variable grid layer containing attributes that will be joined to the input point features. The layer must have been created using the Build Multi-Variable Grid tool and must be a hosted feature layer. Multi-variable grid layers stored in a big data file Sshare are not supported as input to this tool.
The attributes in the multi-variable grid layer that will be joined to the input point features whenever the point features intersect the grid.
The name of the layer that will be created. If you are writing to an ArcGIS Data Store, your results will be saved in My Content and added to the map. If you are writing to a big data file share, your results will be stored in the big data file share and added to its manifest. It will not be added to the map. The default name is based on the tool name and the input layer name. If the layer already exists, the tool will fail.


Resources that may have been created during operation of the SageMaker Estimator and Model.
Specifies an IAM Role
Specifies an IAM Role
The IAM role ARN or name
Specifies an IAM Role by a Spark configuration lookup.
Specifies an IAM Role by a Spark configuration lookup.
The Spark configuration key to read the IAM role ARN or name from
References an IAM Role.
Provides names for SageMaker entities created during fit in com.amazonaws.services.sagemaker.sparksdk.SageMakerEstimator
Creates a NamePolicy upon a call to NamePolicyFactory#createNamePolicy
Provides random, unique SageMaker entity names that begin with the specified prefix.
Provides random, unique SageMaker entity names that begin with the specified prefix.
The common name prefix for all SageMaker entities named with this NamePolicy
Creates a RandomNamePolicy upon a call to RandomNamePolicyFactory#createNamePolicy
Defines an S3 location that will be auto-created at runtime.
Represents a location within an S3 Bucket.
Represents a location within an S3 Bucket.
An S3 bucket
An S3 key or key prefix
Represents an S3 location defined by a Spark configuration key.
Represents an S3 location defined by a Spark configuration key.
The configuration key must either define a bucket name or an S3 URI of the form
s3://bucket-name/prefix-path
The Spark configuration key to read the S3 location from
An S3 Resource for SageMaker to use.
Adapts a SageMaker learning Algorithm to a Spark Estimator.
Adapts a SageMaker learning Algorithm to a Spark Estimator. Fits a SageMakerModel by running a SageMaker Training Job on a Spark Dataset. Each call to fit submits a new SageMaker Training Job, creates a new SageMaker Model, and creates a new SageMaker Endpoint Config. A new Endpoint is either created by or the returned SageMakerModel is configured to generate an Endpoint on SageMakerModel transform.
On fit, the input dataset is serialized with the specified trainingSparkDataFormat using the specified trainingSparkDataFormatOptions and uploaded to an S3 location specified by trainingInputS3DataPath. The serialized Dataset is compressed with trainingCompressionCodec, if not None.
trainingProjectedColumns can be used to control which columns on the input Dataset are transmitted to SageMaker. If not None, then only those column names will be serialized as input to the SageMaker Training Job.
A Training Job is created with the uploaded Dataset being input to the specified trainingChannelName, with the specified trainingInputMode. The algorithm is specified trainingImage, a Docker image URI reference. The Training Job is created with trainingInstanceCount instances of type trainingInstanceType. The Training Job will time-out after trainingMaxRuntimeInSeconds, if not None.
SageMaker Training Job hyperparameters are built from the org.apache.spark.ml.param.Params set on this Estimator. Param objects set on this Estimator are retrieved during fit and converted to a SageMaker Training Job hyperparameter Map. Param objects are iterated over by invoking params on this Estimator. Param objects with neither a default value nor a set value are ignored. If a Param is not set but has a default value, the default value will be used. Param values are converted to SageMaker hyperparameter String values by invoking toString on the Param value.
SageMaker uses the IAM Role with ARN sagemakerRole to access the input and output S3 buckets and trainingImage if the image is hosted in ECR. SageMaker Training Job output is stored in a Training Job specific sub-prefix of trainingOutputS3DataPath. This contains the SageMaker Training Job output file as well as the SageMaker Training Job model file.
After the Training Job is created, this Estimator will poll for success. Upon success an SageMakerModel is created and returned from fit. The SageMakerModel is created with a modelImage Docker image URI, defining the SageMaker model primary container and with modelEnvironmentVariables environment variables. Each SageMakerModel has a corresponding SageMaker hosting Endpoint. This Endpoint runs on at least endpointInitialInstanceCount instances of type endpointInstanceType. The Endpoint is created either during construction of the SageMakerModel or on the first call to transform, controlled by endpointCreationPolicy. Each Endpoint instance runs with sagemakerRole IAMRole.
The transform method on SageMakerModel uses requestRowSerializer to serialize Rows from the Dataset undergoing transformation, to requests on the hosted SageMaker Endpoint. The responseRowDeserializer is used to convert the response from the Endpoint to a series of Rows, forming the transformed Dataset. If modelPrependInputRowsToTransformationRows is true, then each transformed Row is also prepended with its corresponding input Row.
A Model implementation which transforms a DataFrame by making requests to a SageMaker Endpoint.
A Model implementation which transforms a DataFrame by making requests to a SageMaker Endpoint. Manages life cycle of all necessary SageMaker entities, including Model, EndpointConfig, and Endpoint.
This Model transforms one DataFrame to another by repeated, distributed SageMaker Endpoint invocation. Each invocation request body is formed by concatenating input DataFrame Rows serialized to Byte Arrays by the specified serializer. The invocation request content-type property is set from contentType. The invocation request accepts property is set from the deserializer's accepts.
The transformed DataFrame is produced by deserializing each invocation response body into a series of Rows. Row deserialization is delegated to the specified deserializer, which converts an Array of Bytes to an Iterator[Row]. If prependInputRows is false, the transformed DataFrame will contain just these Rows. If prependInputRows is true, then each transformed Row is a concatenation of the input Row with its corresponding SageMaker invocation deserialized Row.
Each invocation of transform passes the Dataset.schema of the input DataFrame to requestRowSerialize by invoking setSchema.
The specified serializer also controls the validity of input Row Schemas for this Model. Schema validation is carried out on each call to transformSchema, which invokes validateSchema.
Adapting this SageMaker model to the data format and type of a specific Endpoint is achieved by sub-classing RequestRowSerializer and RequestRowDeserializer. Examples of a Serializer and Deseralizer are LibSVMRequestRowSerializer and LibSVMResponseRowDeserializer respectively.
Deletes any SageMaker entities created during operation of the SageMaker Estimator and Transformer.
Determines whether and when to create the Endpoint and other Hosting resources.
Determines whether and when to create the Endpoint and other Hosting resources.
CREATE_ON_CONSTRUCT - create the Endpoint upon creation of the SageMakerModel, at the end of fit() CREATE_ON_TRANSFORM - create the Endpoint upon invocation of SageMakerModel.transform() DO_NOT_CREATE - do not create the Endpoint
Resources that may have been created during operation of the SageMaker Estimator and Model.
The name of the SageMaker Model that was created, or empty if it wasn't created.
The name of the SageMaker EndpointConfig that was created, or empty if it wasn't created.
The name of the SageMaker Endpoint that was created, or empty if it wasn't created.


| 1 | /* | |
| 2 | * Copyright 2012 The Closure Compiler Authors. | |
| 3 | * | |
| 4 | * Licensed under the Apache License, Version 2.0 (the "License"); | |
| 5 | * you may not use this file except in compliance with the License. | |
| 6 | * You may obtain a copy of the License at | |
| 7 | * | |
| 8 | * http://www.apache.org/licenses/LICENSE-2.0 | |
| 9 | * | |
| 10 | * Unless required by applicable law or agreed to in writing, software | |
| 11 | * distributed under the License is distributed on an "AS IS" BASIS, | |
| 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 13 | * See the License for the specific language governing permissions and | |
| 14 | * limitations under the License. | |
| 15 | */ | |
| 16 | ||
| 17 | package com.google.javascript.jscomp; | |
| 18 | ||
| 19 | import com.google.common.collect.ImmutableList; | |
| 20 | import com.google.common.collect.Lists; | |
| 21 | import com.google.javascript.jscomp.DefaultPassConfig.HotSwapPassFactory; | |
| 22 | import com.google.javascript.jscomp.GlobalVarReferenceMap.GlobalVarRefCleanupPass; | |
| 23 | import com.google.javascript.jscomp.Scope.Var; | |
| 24 | import com.google.javascript.rhino.Node; | |
| 25 | import com.google.javascript.rhino.jstype.FunctionType; | |
| 26 | import com.google.javascript.rhino.jstype.JSType; | |
| 27 | ||
| 28 | import java.util.List; | |
| 29 | ||
| 30 | ||
| 31 | /** | |
| 32 | * Provides passes that should be run before hot-swap/incremental builds. | |
| 33 | * | |
| 34 | * @author<EMAIL_ADDRESS>(Tyler Goodwin) | |
| 35 | */ | |
| 36 | class CleanupPasses extends PassConfig { | |
| 37 | ||
| 38 | private State state; | |
| 39 | ||
| 40 | public CleanupPasses(CompilerOptions options) { | |
| 41 | super(options); | |
| 42 | } | |
| 43 | ||
| 44 | @Override | |
| 45 | protected List<PassFactory> getChecks() { | |
| 46 | List<PassFactory> checks = Lists.newArrayList(); | |
| 47 | checks.add(fieldCleanupPassFactory); | |
| 48 | checks.add(scopeCleanupPassFactory); | |
| 49 | checks.add(globalVarRefCleanupPassFactory); | |
| 50 |
1
1. getChecks : mutated return of Object value for com/google/javascript/jscomp/CleanupPasses::getChecks to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return checks; |
| 51 | } | |
| 52 | ||
| 53 | @Override | |
| 54 | protected State getIntermediateState() { | |
| 55 |
1
1. getIntermediateState : mutated return of Object value for com/google/javascript/jscomp/CleanupPasses::getIntermediateState to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return state; |
| 56 | } | |
| 57 | ||
| 58 | @Override | |
| 59 | protected List<PassFactory> getOptimizations() { | |
| 60 |
1
1. getOptimizations : mutated return of Object value for com/google/javascript/jscomp/CleanupPasses::getOptimizations to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return ImmutableList.of(); |
| 61 | } | |
| 62 | ||
| 63 | @Override | |
| 64 | protected void setIntermediateState(State state) { | |
| 65 | this.state = state; | |
| 66 | } | |
| 67 | ||
| 68 | final PassFactory fieldCleanupPassFactory = | |
| 69 | new HotSwapPassFactory("FieldCleaupPassFactory", false) { | |
| 70 | @Override | |
| 71 | protected HotSwapCompilerPass create( | |
| 72 | AbstractCompiler compiler) { | |
| 73 |
1
1. create : mutated return of Object value for com/google/javascript/jscomp/CleanupPasses$1::create to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return new FieldCleanupPass(compiler); |
| 74 | } | |
| 75 | }; | |
| 76 | ||
| 77 | final PassFactory scopeCleanupPassFactory = | |
| 78 | new HotSwapPassFactory("ScopeCleanupPassFactory", false) { | |
| 79 | @Override | |
| 80 | protected HotSwapCompilerPass create( | |
| 81 | AbstractCompiler compiler) { | |
| 82 |
1
1. create : mutated return of Object value for com/google/javascript/jscomp/CleanupPasses$2::create to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return new MemoizedScopeCleanupPass(compiler); |
| 83 | } | |
| 84 | }; | |
| 85 | ||
| 86 | final PassFactory globalVarRefCleanupPassFactory = | |
| 87 | new HotSwapPassFactory("GlobalVarRefCleanupPassFactory", false) { | |
| 88 | @Override | |
| 89 | protected HotSwapCompilerPass create( | |
| 90 | AbstractCompiler compiler) { | |
| 91 |
1
1. create : mutated return of Object value for com/google/javascript/jscomp/CleanupPasses$3::create to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return new GlobalVarRefCleanupPass(compiler); |
| 92 | } | |
| 93 | }; | |
| 94 | ||
| 95 | /** | |
| 96 | * A CleanupPass implementation that will remove stored scopes from the | |
| 97 | * MemoizedScopeCreator of the compiler instance for a the hot swapped script. | |
| 98 | * <p> | |
| 99 | * This pass will also clear out Source Nodes of Function Types declared on | |
| 100 | * Vars tracked by MemoizedScopeCreator | |
| 101 | */ | |
| 102 | static class MemoizedScopeCleanupPass implements HotSwapCompilerPass { | |
| 103 | ||
| 104 | private final AbstractCompiler compiler; | |
| 105 | ||
| 106 | public MemoizedScopeCleanupPass(AbstractCompiler compiler) { | |
| 107 | this.compiler = compiler; | |
| 108 | } | |
| 109 | ||
| 110 | @Override | |
| 111 | public void hotSwapScript(Node scriptRoot, Node originalRoot) { | |
| 112 | ScopeCreator creator = compiler.getTypedScopeCreator(); | |
| 113 |
1
1. hotSwapScript : negated conditional → NO_COVERAGE |
if (creator instanceof MemoizedScopeCreator) { |
| 114 | MemoizedScopeCreator scopeCreator = (MemoizedScopeCreator) creator; | |
| 115 | String newSrc = scriptRoot.getSourceFileName(); | |
| 116 | for (Var var : scopeCreator.getAllSymbols()) { | |
| 117 | JSType type = var.getType(); | |
| 118 |
1
1. hotSwapScript : negated conditional → NO_COVERAGE |
if (type != null) { |
| 119 | FunctionType fnType = type.toMaybeFunctionType(); | |
| 120 |
2
1. hotSwapScript : negated conditional → NO_COVERAGE 2. hotSwapScript : negated conditional → NO_COVERAGE |
if (fnType != null |
| 121 | && newSrc.equals(NodeUtil.getSourceName(fnType.getSource()))) { | |
| 122 |
1
1. hotSwapScript : removed call to com/google/javascript/rhino/jstype/FunctionType::setSource → NO_COVERAGE |
fnType.setSource(null); |
| 123 | } | |
| 124 | } | |
| 125 | } | |
| 126 |
1
1. hotSwapScript : removed call to com/google/javascript/jscomp/MemoizedScopeCreator::removeScopesForScript → NO_COVERAGE |
scopeCreator.removeScopesForScript(originalRoot.getSourceFileName()); |
| 127 | } | |
| 128 | } | |
| 129 | ||
| 130 | @Override | |
| 131 | public void process(Node externs, Node root) { | |
| 132 | // MemoizedScopeCleanupPass should not do work during process. | |
| 133 | } | |
| 134 | } | |
| 135 | } | |
Mutations | ||
| 50 |
1.1 |
|
| 55 |
1.1 |
|
| 60 |
1.1 |
|
| 73 |
1.1 |
|
| 82 |
1.1 |
|
| 91 |
1.1 |
|
| 113 |
1.1 |
|
| 118 |
1.1 |
|
| 120 |
1.1 2.2 |
|
| 122 |
1.1 |
|
| 126 |
1.1 |


The New Motorola Razr is a Blast From the Past
by Andrew OrrThe Motorola Razr is back. It’s still a flip phone but it’s a foldable screen with the old UI skinned on top of it, and it’s US$1,500.
As I fold the Motorola Razr in half for the first time, it becomes clear that the Razr — with its foldable 6.2-inch screen, 16-megapixel double-duty camera and $1,500 price tag — is the best designed, most completely thought-out foldable phone to date. Streamlined. Utterly pocketable. Nostalgic, with a sharp futuristic edge.
I still think foldable phones are a bit gimmicky for now, but a phone that folds vertically makes more sense to me than a phone that unfolds horizontally to become a tablet-like device.
Check It Out: The New Motorola Razr is a Blast From the Past


|
cds
2.3.1
|
Sequential non-atomic item counter. More...
#include <cds/opt/options.h>
Public Types | |
| typedef size_t | counter_type |
| Counter type. | |
Public Member Functions | |
| counter_type | value () const |
| Returns current value of the counter. | |
| operator counter_type () const | |
| Same as value() with relaxed memory ordering. | |
| counter_type | inc () |
| Increments the counter. Semantics: postincrement. | |
| counter_type | dec () |
| Decrements the counter. Semantics: postdecrement. | |
| counter_type | operator++ () |
| Preincrement. | |
| counter_type | operator++ (int) |
| Postincrement. | |
| counter_type | operator-- () |
| Predecrement. | |
| counter_type | operator-- (int) |
| Postdecrement. | |
| void | reset () |
| Resets count to 0. | |
Protected Attributes | |
| counter_type | m_nCounter |
| Counter. | |
Sequential non-atomic item counter.
This type of opt::item_counter
option is not intended for concurrent containers and may be used only if it is explicitly noted.


SBJsonStreamParser Class Reference
| Inherits from | NSObject |
| Declared in | SBJsonStreamParser.h |
Overview
Parse a stream of JSON data.
Using this class directly you can reduce the apparent latency for each download/parse cycle of documents over a slow connection. You can start parsing and return chunks of the parsed document before the entire document is downloaded.
Using this class is also useful to parse huge documents on disk bit by bit so you don’t have to keep them all in memory.
JSON is mapped to Objective-C types in the following way:
- null –> NSNull
- string –> NSString
- array –> NSMutableArray
- object –> NSMutableDictionary
- true –> NSNumber’s -numberWithBool:YES
- false –> NSNumber’s -numberWithBool:NO
- integer up to 19 digits –> NSNumber’s -numberWithLongLong:
- all other numbers –> NSDecimalNumber
Since Objective-C doesn’t have a dedicated class for boolean values, these turns into NSNumber instances. However, since these are initialised with the -initWithBool: method they round-trip back to JSON properly. In other words, they won’t silently suddenly become 0 or 1; they’ll be represented as ‘true’ and ‘false’ again.
As an optimisation integers up to 19 digits in length (the max length for signed long long integers) turn into NSNumber instances, while complex ones turn into NSDecimalNumber instances. We can thus avoid any loss of precision as JSON allows ridiculously large numbers.
See also SBJsonStreamParserAdapter for more information.
Tasks
-
state
property -
stateStack
property -
supportMultipleDocuments
Expect multiple documents separated by whitespace
property -
delegate
Delegate to receive messages
property -
maxDepth
The max parse depth
property -
error
Holds the error after SBJsonStreamParserError was returned
property -
– parse:
Parse some JSON
Properties
delegate
Delegate to receive messages
@property (unsafe_unretained) id<> delegate
Discussion
Delegate to receive messages
The object set here receives a series of messages as the parser breaks down the JSON stream into valid tokens.
Usually this should be an instance of SBJsonStreamParserAdapter, but you can substitute your own implementation of the SBJsonStreamParserDelegate protocol if you need to.
Declared In
SBJsonStreamParser.h
error
Holds the error after SBJsonStreamParserError was returned
@property (copy) NSString *error
Discussion
Holds the error after SBJsonStreamParserError was returned
Declared In
SBJsonStreamParser.h
maxDepth
The max parse depth
@property NSUInteger maxDepth
Discussion
The max parse depth
If the input is nested deeper than this the parser will halt parsing and return an error.
Defaults to 32.
Declared In
SBJsonStreamParser.h
supportMultipleDocuments
Expect multiple documents separated by whitespace
@property BOOL supportMultipleDocuments
Discussion
Expect multiple documents separated by whitespace
Normally the parse: method returns SBJsonStreamParserComplete when it’s found a complete JSON document. Attempting to parse any more data at that point is considered an error. (“Garbage after JSON”.)
If you set this property to true the parser will never return SBJsonStreamParserComplete. Rather, once an object is completed it will expect another object to immediately follow, separated only by (optional) whitespace.
Declared In
SBJsonStreamParser.h
Instance Methods
parse:
Parse some JSON
- (SBJsonStreamParserStatus)parse:(NSData *)data
Parameters
- data
An NSData object containing the next chunk of JSON
@return – SBJsonStreamParserComplete if a full document was found – SBJsonStreamParserWaitingForData if a partial document was found and more data is required to complete it – SBJsonStreamParserError if an error occured. (See the error property for details in this case.)
Discussion
Parse some JSON
The JSON is assumed to be UTF8 encoded. This can be a full JSON document, or a part of one.
Declared In
SBJsonStreamParser.h


All chests and dungeon keys are always randomized.  The seashell mansion 20 shells reward is also shuffled, but the 5 and 10 shell reward is not, as those can be missed.
The moblin cave with Bowwow contains a chest instead. The color dungeon gives 2 items at the end instead of a choice of tunic. Other item locations are: The toadstool, the reward for delivering the toadstool, hidden seashells, golden leafs, the MadBatters (capacity upgrades) the shovel/bow in the shop. And the angler key and face key.
Also, often forgotten, the hookshop drop from master stalfos in D5 is also randomized.
Finaly, new players often forget the following locations: The heart piece hidden in the water at the castle, the heart piece hidden in the bomb cave (screen before the honey). Bonk seashells (run with pegasus boots against the tree in at the Tail Cave, and the tree right of Mabe Village, next to the phone booth)
The color dungeon is part of the item shuffle, the red and blue tunics are shuffled in the item pool. Which means the fairy at the end of the color dungeon gives out two random items.
To access the color dungeon, you need the power bracelet. And you need to push the gravestones in the right order. Which is "down, left, up, right, up", going from the lower right gravestone, to the one left of it, above it, and then to the right.
Bowwow is in a chest, somewhere. After you find him he will always be in the swamp with you but not anywhere else.
In your save and quit menu there is a 3th option to return to your home. This has two uses, it speeds up the game as you can move around quicker. And it allows you to recover in case you lock yourself into a one way street. Which is more common with Entrance Randomization enabled.
If you have weapons that require ammunition (bombs, powder, arrows), the ghost will show up inside Marins house. He will give you up to 10 ammonition, so you do not run out.
The ghost mini-quest after D4 never shows up, his seashell reward is always available.
The wallrus is moved a bit, so you can access the desert without taking Marin on a date.
The flying rooster isn't available. You can access the bird key location with the L2 Power Bracelet.
Stealing from the shop is never in logic. Depending on your settings you can only steal after you find the sword, always or never.
Do not forget that there are two items in the rafting ride. You can access this with just Hookshot or Flippers.
Killing enemies with bombs is in normal logic. You can switch to casual logic if you do not want this.
D7 confuses some people, but by dropping down pits on the 2nd floor you can access almost all of this dungeon, even without feather and power bracelet.
The toadstool and magic powder used to be the same type of item. LADXR turns this into two items that you can have a the same time. 4 extra item slots in your inventory where added to support this extra item and have the ability to own the boomerang.
The glitch where the slime key is effectively a 6th golden leaf is fixed, and golden leaves can be collected fine next to the slime key.


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acl acl2013 acl2013-56 acl2013-56-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Peifeng Li ; Qiaoming Zhu ; Guodong Zhou
Abstract: As a paratactic language, sentence-level argument extraction in Chinese suffers much from the frequent occurrence of ellipsis with regard to inter-sentence arguments. To resolve such problem, this paper proposes a novel global argument inference model to explore specific relationships, such as Coreference, Sequence and Parallel, among relevant event mentions to recover those intersentence arguments in the sentence, discourse and document layers which represent the cohesion of an event or a topic. Evaluation on the ACE 2005 Chinese corpus justifies the effectiveness of our global argument inference model over a state-of-the-art baseline. 1


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It was a real pleasure for me to finally get to meet you. My colleagues join me in sending you our holiday. It was a real pleasure for me to finally get to meet you. My colleagues join me in sending you our holiday.


Stop, fake meat ain't for plant-based eaters.
Preachin’
I’m a little heated about this topic. Call me extra or strict, but my feelings are valid.
Today, company provided fried chicken + mac and cheese + fries + mixed greens salad from Happy Chicks for lunch. The main vegetarian/vegan option was vegan fried chicken and vegetarian mac and cheese.
I don’t speak for everyone; these are my opinions. As someone who voluntarily chooses to eat a plant-based diet (I define as no animal meat; little to no dairy products; lots of whole vegetables and fruits from farms; and lots ancient grains, legumes, and beans.), I have no interest in eating fake meat.
I am not alone in this; I have talked to other people who choose to follow a vegan and vegetarian diet. We once talked about the Impossible burger. An acquaintance was vegetarian for like 6 years; she thought she would try the Impossible burger since it was such a huge deal. After a bite, she literally spit it all out because it tasted and felt too similar to meat for her (whether that is accurate is relative. She hadn’t had anything meat-like textured for so long that anything remotely close to meat texture would seem meat-like.) We choose to not eat animal products, so what’s the point of trying to imitate it and pursuing it?
Fake meat, in my opinion, is mainly geared towards serving the meat eaters in the world, to help them reduce their meat consumption for the sake of mitigating climate change.
So, I was hella disappointed in the lunch offered today. What about the vegetarian mac and cheese and fries? A company called “Happy Chicks” is ironic considering how many “chicks” they kill to do business, and I highly doubt those “chicks” were well taken care of when they were alive. From a moral and ethical standpoint, no thanks. I have no interest in eating anything you have to serve. I’m objectively speaking a healthy conscious eater, so I doubt their fries and mac and cheese were of anything worthwhile to eat.
I just brought my own lunch to eat today.
A snippet of my journey to shifting my mindset to eating less meat
I can see why the food is so enticing. The entire food area smelled of fried foods, and it did smell good. The food is all deep fried such that there’s lots of crunch; I can see, smell, and understand the appeal. However, this is all about mindset and the environment in which we grew up in and how it has impacted our view of what is considered “good” food. And I’m at a point where I eat for nutrition and nourishment. I (most of the time) know what I am putting in my body and make sure it is good for me and my environment. I’m not perfect; sometimes, I pursue ignorance (oftentimes for sweets, I’m a sucker for a tasty cheesecake).
I’ve been following a plant-based diet for about 3 months now. I care for the environment; however, diet change was something I was reluctant to do; it was a bit hard to transition. I grew up eating lots of chicken, fish, and pork; it’s part of many Chinese dishes. However, as I was reading more about the impact of raising animals in an industrial system and knowing that I want to live by the values I talk about, I chose to reduce my meat consumption slightly. I chose chicken over pork and beef. I also opted for smaller meat portions in a meal. Inside though, I knew I could be doing so much more.
My commitment journey
Two years ago, I saw this video, and it was the tipping point for me to 100% commit to cutting out meat from my diet. The logic is there, and I knew it was my mentality that was holding me back from not eating any meat.
I started with cutting beef out of my diet. It was an easy start because beef isn’t a significant component of my diet. Now, it’s been 2 years my diet is almost beef-free. I did accidentally eat it a couple times, mistaking a dish had pork when it actually had beef, but it’s all good. I know mistakes happen.
I’m in the process of weaning off pork and chicken. It’s hard at home because my parents cook it so often, but now that I’m on my own this summer and I am in control of my purchasing choices, it is much easier. I haven’t completely cut it out of my diet though, more like around 95%.
The thing is, when I go out to eat, I will choose plant-based dishes. So, when I’m out, my diet is 100% meat free because I know most places I eat at don’t source pasture-raised certified humane meats. However, I have bought a pasture-raised certified humane organic chicken from the farmers’ market to make a soup for the “healing” properties after my period; it’s something my mom makes for me. I am okay with this right now because I at least know I am supporting local and ethical practices in raising animals.
Another big adjustment to cutting meat out from my diet is learning how to cook and eat more vegetables to make up for the lack of meat in most of my meals. I used to be hungry very often because I wasn’t proportionately swapping the vegetables for meat. Practice, commitment, and patience have been critical in helping me get to where I am now.
And I’ve noticed changes in my body. I can’t 100% attribute these changes to just my diet change because I’ve changed a lot both in mindset and lifestyle in the past couple years. But I know for sure (gotta take my word for it and the numerous research studies out there) that eating less meat has contributed to fueling my body with more natural good energy. I feel good in my body, I love what I eat and what I do, and I’m just enjoying life right now. And I know I’m not contributing as much to the factors that contribute to climate change.
Takeaways
I’m not trying to convert you to not eat meat. I’m a supporter of eating less meat and better meat. My main goal with this post is to release the frustration I have about people’s assumption that “Oh, we have vegan meats available so you can eat too!” and share a little bit of my journey of including less meat in my diet. It wasn’t easy, but I’m determined and I’ve made a significant amount of progress; I’m proud to be where I’m at.