Spark Configuration
Spark provides three locations to configure the system:
- Spark properties control most application parameters and can be set by using a SparkConf object, or through Java system properties.
- Environment variables can be used to set per-machine settings, such as
the IP address, through the
conf/spark-env.sh
script on each node. - Logging can be configured through
log4j.properties
.
Spark Properties
Spark properties control most application settings and are configured separately for each
application. These properties can be set directly on a
SparkConf passed to your
SparkContext
. SparkConf
allows you to configure some of the common properties
(e.g. master URL and application name), as well as arbitrary key-value pairs through the
set()
method. For example, we could initialize an application as follows:
val conf = new SparkConf()
.setMaster("local")
.setAppName("CountingSheep")
.set("spark.executor.memory", "1g")
val sc = new SparkContext(conf)
Dynamically Loading Spark Properties
In some cases, you may want to avoid hard-coding certain configurations in a SparkConf
. For
instance, if you’d like to run the same application with different masters or different
amounts of memory. Spark allows you to simply create an empty conf:
val sc = new SparkContext(new SparkConf())
Then, you can supply configuration values at runtime:
./bin/spark-submit --name "My fancy app" --master local[4] myApp.jar
The Spark shell and spark-submit
tool support two ways to load configurations dynamically. The first are command line options,
such as --master
, as shown above. Running ./bin/spark-submit --help
will show the entire list
of options.
bin/spark-submit
will also read configuration options from conf/spark-defaults.conf
, in which
each line consists of a key and a value separated by whitespace. For example:
spark.master spark://<IP_ADDRESS>:7077
spark.executor.memory 512m
spark.eventLog.enabled true
spark.serializer org.apache.spark.serializer.KryoSerializer
Any values specified as flags or in the properties file will be passed on to the application
and merged with those specified through SparkConf. Properties set directly on the SparkConf
take highest precedence, then flags passed to spark-submit
or spark-shell
, then options
in the spark-defaults.conf
file.
Viewing Spark Properties
The application web UI at http://<driver>:4040
lists Spark properties in the “Environment” tab.
This is a useful place to check to make sure that your properties have been set correctly. Note
that only values explicitly specified through either spark-defaults.conf
or SparkConf will
appear. For all other configuration properties, you can assume the default value is used.
Available Properties
Most of the properties that control internal settings have reasonable default values. Some of the most common options to set are:
Application Properties
| Property Name | Default | Meaning |
|---|---|---|
spark.app.name |
(none) | The name of your application. This will appear in the UI and in log data. |
spark.master |
(none) | The cluster manager to connect to. See the list of allowed master URL's. |
spark.executor.memory |
512m |
Amount of memory to use per executor process, in the same format as JVM memory strings
(e.g. 512m , 2g ).
|
spark.serializer |
org.apache.spark.serializer. JavaSerializer |
Class to use for serializing objects that will be sent over the network or need to be cached
in serialized form. The default of Java serialization works with any Serializable Java object
but is quite slow, so we recommend using
org.apache.spark.serializer.KryoSerializer and configuring Kryo serialization
when speed is necessary. Can be any subclass of
org.apache.spark.Serializer .
|
spark.kryo.registrator |
(none) |
If you use Kryo serialization, set this class to register your custom classes with Kryo.
It should be set to a class that extends
KryoRegistrator .
See the tuning guide for more details.
|
spark.local.dir |
/tmp | Directory to use for "scratch" space in Spark, including map output files and RDDs that get stored on disk. This should be on a fast, local disk in your system. It can also be a comma-separated list of multiple directories on different disks. NOTE: In Spark 1.0 and later this will be overriden by SPARK_LOCAL_DIRS (Standalone, Mesos) or LOCAL_DIRS (YARN) environment variables set by the cluster manager. |
spark.logConf |
false | Logs the effective SparkConf as INFO when a SparkContext is started. |
Apart from these, the following properties are also available, and may be useful in some situations:
Runtime Environment
| Property Name | Default | Meaning |
|---|---|---|
spark.executor.memory |
512m |
Amount of memory to use per executor process, in the same format as JVM memory strings
(e.g. 512m , 2g ).
|
spark.executor.extraJavaOptions |
(none) | A string of extra JVM options to pass to executors. For instance, GC settings or other logging. Note that it is illegal to set Spark properties or heap size settings with this option. Spark properties should be set using a SparkConf object or the spark-defaults.conf file used with the spark-submit script. Heap size settings can be set with spark.executor.memory. |
spark.executor.extraClassPath |
(none) | Extra classpath entries to append to the classpath of executors. This exists primarily for backwards-compatibility with older versions of Spark. Users typically should not need to set this option. |
spark.executor.extraLibraryPath |
(none) | Set a special library path to use when launching executor JVM's. |
spark.files.userClassPathFirst |
false | (Experimental) Whether to give user-added jars precedence over Spark's own jars when loading classes in Executors. This feature can be used to mitigate conflicts between Spark's dependencies and user dependencies. It is currently an experimental feature. |
Shuffle Behavior
| Property Name | Default | Meaning |
|---|---|---|
spark.shuffle.consolidateFiles |
false | If set to "true", consolidates intermediate files created during a shuffle. Creating fewer files can improve filesystem performance for shuffles with large numbers of reduce tasks. It is recommended to set this to "true" when using ext4 or xfs filesystems. On ext3, this option might degrade performance on machines with many (>8) cores due to filesystem limitations. |
spark.shuffle.spill |
true |
If set to "true", limits the amount of memory used during reduces by spilling data out to disk.
This spilling threshold is specified by spark.shuffle.memoryFraction .
|
spark.shuffle.spill.compress |
true |
Whether to compress data spilled during shuffles. Compression will use
spark.io.compression.codec .
|
spark.shuffle.memoryFraction |
0.3 |
Fraction of Java heap to use for aggregation and cogroups during shuffles, if
spark.shuffle.spill is true. At any given time, the collective size of
all in-memory maps used for shuffles is bounded by this limit, beyond which the contents will
begin to spill to disk. If spills are often, consider increasing this value at the expense of
spark.storage.memoryFraction .
|
spark.shuffle.compress |
true |
Whether to compress map output files. Generally a good idea. Compression will use
spark.io.compression.codec .
|
spark.shuffle.file.buffer.kb |
100 | Size of the in-memory buffer for each shuffle file output stream, in kilobytes. These buffers reduce the number of disk seeks and system calls made in creating intermediate shuffle files. |
spark.reducer.maxMbInFlight |
48 | Maximum size (in megabytes) of map outputs to fetch simultaneously from each reduce task. Since each output requires us to create a buffer to receive it, this represents a fixed memory overhead per reduce task, so keep it small unless you have a large amount of memory. |
Spark UI
| Property Name | Default | Meaning |
|---|---|---|
spark.ui.port |
4040 | Port for your application's dashboard, which shows memory and workload data |
spark.ui.retainedStages |
1000 | How many stages the Spark UI remembers before garbage collecting. |
spark.ui.killEnabled |
true | Allows stages and corresponding jobs to be killed from the web ui. |
spark.eventLog.enabled |
false | Whether to log Spark events, useful for reconstructing the Web UI after the application has finished. |
spark.eventLog.compress |
false |
Whether to compress logged events, if spark.eventLog.enabled is true.
|
spark.eventLog.dir |
file:///tmp/spark-events |
Base directory in which Spark events are logged, if spark.eventLog.enabled is true.
Within this base directory, Spark creates a sub-directory for each application, and logs the
events specific to the application in this directory. Users may want to set this to
and HDFS directory so that history files can be read by the history server.
|
Compression and Serialization
| Property Name | Default | Meaning |
|---|---|---|
spark.broadcast.compress |
true | Whether to compress broadcast variables before sending them. Generally a good idea. |
spark.rdd.compress |
false |
Whether to compress serialized RDD partitions (e.g. for
StorageLevel.MEMORY_ONLY_SER ). Can save substantial space at the cost of some
extra CPU time.
|
spark.io.compression.codec |
org.apache.spark.io. LZFCompressionCodec |
The codec used to compress internal data such as RDD partitions and shuffle outputs.
By default, Spark provides two codecs: org.apache.spark.io.LZFCompressionCodec
and org.apache.spark.io.SnappyCompressionCodec . Of these two choices,
Snappy offers faster compression and decompression, while LZF offers a better compression
ratio.
|
spark.io.compression.snappy.block.size |
32768 | Block size (in bytes) used in Snappy compression, in the case when Snappy compression codec is used. |
spark.closure.serializer |
org.apache.spark.serializer. JavaSerializer |
Serializer class to use for closures. Currently only the Java serializer is supported. |
spark.serializer.objectStreamReset |
10000 | When serializing using org.apache.spark.serializer.JavaSerializer, the serializer caches objects to prevent writing redundant data, however that stops garbage collection of those objects. By calling 'reset' you flush that info from the serializer, and allow old objects to be collected. To turn off this periodic reset set it to a value <= 0. By default it will reset the serializer every 10,000 objects. |
spark.kryo.referenceTracking |
true | Whether to track references to the same object when serializing data with Kryo, which is necessary if your object graphs have loops and useful for efficiency if they contain multiple copies of the same object. Can be disabled to improve performance if you know this is not the case. |
spark.kryoserializer.buffer.mb |
2 | Maximum object size to allow within Kryo (the library needs to create a buffer at least as large as the largest single object you'll serialize). Increase this if you get a "buffer limit exceeded" exception inside Kryo. Note that there will be one buffer per core on each worker. |
Execution Behavior
| Property Name | Default | Meaning |
|---|---|---|
spark.default.parallelism |
|
Default number of tasks to use across the cluster for distributed shuffle operations
(groupByKey , reduceByKey , etc) when not set by user.
|
spark.broadcast.factory |
org.apache.spark.broadcast. HttpBroadcastFactory |
Which broadcast implementation to use. |
spark.broadcast.blockSize |
4096 |
Size of each piece of a block in kilobytes for TorrentBroadcastFactory .
Too large a value decreases parallelism during broadcast (makes it slower); however, if it is
too small, BlockManager might take a performance hit.
|
spark.files.overwrite |
false | Whether to overwrite files added through SparkContext.addFile() when the target file exists and its contents do not match those of the source. |
spark.files.fetchTimeout |
false | Communication timeout to use when fetching files added through SparkContext.addFile() from the driver. |
spark.storage.memoryFraction |
0.6 | Fraction of Java heap to use for Spark's memory cache. This should not be larger than the "old" generation of objects in the JVM, which by default is given 0.6 of the heap, but you can increase it if you configure your own old generation size. |
spark.tachyonStore.baseDir |
System.getProperty("java.io.tmpdir") |
Directories of the Tachyon File System that store RDDs. The Tachyon file system's URL is set by
spark.tachyonStore.url . It can also be a comma-separated list of multiple
directories on Tachyon file system.
|
spark.storage.memoryMapThreshold |
8192 | Size of a block, in bytes, above which Spark memory maps when reading a block from disk. This prevents Spark from memory mapping very small blocks. In general, memory mapping has high overhead for blocks close to or below the page size of the operating system. |
spark.tachyonStore.url |
tachyon://localhost:19998 | The URL of the underlying Tachyon file system in the TachyonStore. |
spark.cleaner.ttl |
(infinite) | Duration (seconds) of how long Spark will remember any metadata (stages generated, tasks generated, etc.). Periodic cleanups will ensure that metadata older than this duration will be forgotten. This is useful for running Spark for many hours / days (for example, running 24/7 in case of Spark Streaming applications). Note that any RDD that persists in memory for more than this duration will be cleared as well. |
Networking
| Property Name | Default | Meaning |
|---|---|---|
spark.driver.host |
(local hostname) | Hostname or IP address for the driver to listen on. |
spark.driver.port |
(random) | Port for the driver to listen on. |
spark.akka.frameSize |
10 |
Maximum message size to allow in "control plane" communication (for serialized tasks and task
results), in MB. Increase this if your tasks need to send back large results to the driver
(e.g. using collect() on a large dataset).
|
spark.akka.threads |
4 | Number of actor threads to use for communication. Can be useful to increase on large clusters when the driver has a lot of CPU cores. |
spark.akka.timeout |
100 | Communication timeout between Spark nodes, in seconds. |
spark.akka.heartbeat.pauses |
600 | This is set to a larger value to disable failure detector that comes inbuilt akka. It can be enabled again, if you plan to use this feature (Not recommended). Acceptable heart beat pause in seconds for akka. This can be used to control sensitivity to gc pauses. Tune this in combination of `spark.akka.heartbeat.interval` and `spark.akka.failure-detector.threshold` if you need to. |
spark.akka.failure-detector.threshold |
300.0 | This is set to a larger value to disable failure detector that comes inbuilt akka. It can be enabled again, if you plan to use this feature (Not recommended). This maps to akka's `akka.remote.transport-failure-detector.threshold`. Tune this in combination of `spark.akka.heartbeat.pauses` and `spark.akka.heartbeat.interval` if you need to. |
spark.akka.heartbeat.interval |
1000 | This is set to a larger value to disable failure detector that comes inbuilt akka. It can be enabled again, if you plan to use this feature (Not recommended). A larger interval value in seconds reduces network overhead and a smaller value ( ~ 1 s) might be more informative for akka's failure detector. Tune this in combination of `spark.akka.heartbeat.pauses` and `spark.akka.failure-detector.threshold` if you need to. Only positive use case for using failure detector can be, a sensistive failure detector can help evict rogue executors really quick. However this is usually not the case as gc pauses and network lags are expected in a real Spark cluster. Apart from that enabling this leads to a lot of exchanges of heart beats between nodes leading to flooding the network with those. |
Scheduling
| Property Name | Default | Meaning |
|---|---|---|
spark.task.cpus |
1 | Number of cores to allocate for each task. |
spark.task.maxFailures |
4 | Number of individual task failures before giving up on the job. Should be greater than or equal to 1. Number of allowed retries = this value - 1. |
spark.scheduler.mode |
FIFO |
The scheduling mode between
jobs submitted to the same SparkContext. Can be set to FAIR
to use fair sharing instead of queueing jobs one after another. Useful for
multi-user services.
|
spark.cores.max |
(not set) |
When running on a standalone deploy cluster or a
Mesos cluster in "coarse-grained"
sharing mode, the maximum amount of CPU cores to request for the application from
across the cluster (not from each machine). If not set, the default will be
spark.deploy.defaultCores on Spark's standalone cluster manager, or
infinite (all available cores) on Mesos.
|
spark.mesos.coarse |
false | If set to "true", runs over Mesos clusters in "coarse-grained" sharing mode, where Spark acquires one long-lived Mesos task on each machine instead of one Mesos task per Spark task. This gives lower-latency scheduling for short queries, but leaves resources in use for the whole duration of the Spark job. |
spark.speculation |
false | If set to "true", performs speculative execution of tasks. This means if one or more tasks are running slowly in a stage, they will be re-launched. |
spark.speculation.interval |
100 | How often Spark will check for tasks to speculate, in milliseconds. |
spark.speculation.quantile |
0.75 | Percentage of tasks which must be complete before speculation is enabled for a particular stage. |
spark.speculation.multiplier |
1.5 | How many times slower a task is than the median to be considered for speculation. |
spark.locality.wait |
3000 |
Number of milliseconds to wait to launch a data-local task before giving up and launching it
on a less-local node. The same wait will be used to step through multiple locality levels
(process-local, node-local, rack-local and then any). It is also possible to customize the
waiting time for each level by setting spark.locality.wait.node , etc.
You should increase this setting if your tasks are long and see poor locality, but the
default usually works well.
|
spark.locality.wait.process |
spark.locality.wait | Customize the locality wait for process locality. This affects tasks that attempt to access cached data in a particular executor process. |
spark.locality.wait.node |
spark.locality.wait | Customize the locality wait for node locality. For example, you can set this to 0 to skip node locality and search immediately for rack locality (if your cluster has rack information). |
spark.locality.wait.rack |
spark.locality.wait | Customize the locality wait for rack locality. |
spark.scheduler.revive.interval |
1000 | The interval length for the scheduler to revive the worker resource offers to run tasks. (in milliseconds) |
Security
| Property Name | Default | Meaning |
|---|---|---|
spark.authenticate |
false |
Whether Spark authenticates its internal connections. See
spark.authenticate.secret if not running on YARN.
|
spark.authenticate.secret |
None | Set the secret key used for Spark to authenticate between components. This needs to be set if not running on YARN and authentication is enabled. |
spark.core.connection.auth.wait.timeout |
30 | Number of seconds for the connection to wait for authentication to occur before timing out and giving up. |
spark.ui.filters |
None |
Comma separated list of filter class names to apply to the Spark web UI. The filter should be a
standard
javax servlet Filter. Parameters to each filter can also be specified by setting a
java system property of: spark.<class name of filter>.params='param1=value1,param2=value2' For example: -Dspark.ui.filters=com.test.filter1 -Dspark.com.test.filter1.params='param1=foo,param2=testing'
|
spark.ui.acls.enable |
false |
Whether Spark web ui acls should are enabled. If enabled, this checks to see if the user has
access permissions to view the web ui. See spark.ui.view.acls for more details.
Also note this requires the user to be known, if the user comes across as null no checks
are done. Filters can be used to authenticate and set the user.
|
spark.ui.view.acls |
Empty | Comma separated list of users that have view access to the Spark web ui. By default only the user that started the Spark job has view access. |
Spark Streaming
| Property Name | Default | Meaning |
|---|---|---|
spark.streaming.blockInterval |
200 | Interval (milliseconds) at which data received by Spark Streaming receivers is coalesced into blocks of data before storing them in Spark. |
spark.streaming.unpersist |
true | Force RDDs generated and persisted by Spark Streaming to be automatically unpersisted from Spark's memory. The raw input data received by Spark Streaming is also automatically cleared. Setting this to false will allow the raw data and persisted RDDs to be accessible outside the streaming application as they will not be cleared automatically. But it comes at the cost of higher memory usage in Spark. |
Cluster Managers
Each cluster manager in Spark has additional configuration options. Configurations can be found on the pages for each mode:
Environment Variables
Certain Spark settings can be configured through environment variables, which are read from the
conf/spark-env.sh
script in the directory where Spark is installed (or conf/spark-env.cmd
on
Windows). In Standalone and Mesos modes, this file can give machine specific information such as
hostnames. It is also sourced when running local Spark applications or submission scripts.
Note that conf/spark-env.sh
does not exist by default when Spark is installed. However, you can
copy conf/spark-env.sh.template
to create it. Make sure you make the copy executable.
The following variables can be set in spark-env.sh
:
| Environment Variable | Meaning |
|---|---|
JAVA_HOME |
Location where Java is installed (if it's not on your default `PATH`). |
PYSPARK_PYTHON |
Python binary executable to use for PySpark. |
SPARK_LOCAL_IP |
IP address of the machine to bind to. |
SPARK_PUBLIC_DNS |
Hostname your Spark program will advertise to other machines. |
In addition to the above, there are also options for setting up the Spark standalone cluster scripts, such as number of cores to use on each machine and maximum memory.
Since spark-env.sh
is a shell script, some of these can be set programmatically – for example, you might
compute SPARK_LOCAL_IP
by looking up the IP of a specific network interface.
Configuring Logging
Spark uses log4j for logging. You can configure it by adding a
log4j.properties
file in the conf
directory. One way to start is to copy the existing
log4j.properties.template
located there.


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Workshops and tutorials at K-CAP 2015 (Wednesday, October 7).
Workshop W1:
1st International Workshop on Linked Data Repair and Certification
Nandana Mihindukulasooriya, Víctor Rodríguez-Doncel and Raúl García Castro
Canceled
Workshop W2:
1st International Workshop on Capturing scientific knowledge
Peter Clark, Tim Clark, Imme Ebert-Uphoff, Yolanda Gil, and Mark Musen
Tutorial T1:
Acquisition of Complex Logical Knowledge: Authoring, Assimilation, and Assembly
Benjamin Grosof, Michael Kifer, and Paul Fodor
Tutorial T2:
Knowledge Processing with Big Data and Semantic Web Technologies
Ali Hasnain, Naoise Dunne, and Stefan Decker


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|
Mr.
Jones
(Counting Crows) |
|
I
was down at the New Amsterdam staring at this yellow-haired girl
Mr. Jones strikes up a conversation with this black-haired flamenco dancer She dances while his father plays guitar She's suddenly beautiful We all want something beautiful I wish I was beautiful So come dance this silence down through the morning Cut up, Maria! Show me some of them Spanish dances Pass me a bottle, Mr. Jones Believe in me Help me believe in anything Cause I want to be someone who believes Mr. Jones and me tell each other fairy tales Stare at the beautiful women "She's looking at you. Ah no, no, she's looking at me." Smiling in the bright lights Coming through in stereo When everybody loves you, you can never be lonely I will paint my picture Paint myself in blue and red and black and gray All of the beautiful colors are very, very meaningful Gray is my favorite color I felt so symbolic, yesterday If I knew Picasso I would buy myself a gray guitar and play Mr. Jones and me look into the future Stare at the beautiful women "She's looking at you. Uh, I don't think so. She's looking at me." Standing in the spotlight I bought myself a gray guitar When everybody loves me I will never be lonely I will never be lonely Said I never gonna be..lonely I wanna to be a lion Everybody wants to pass as cats We all want to be big, big stars, but we got different reasons for that Believe in me, because I don't believe in anything And I want to be someone to believe, to believe Mr. Jones and me stumbling through the barrio Yeah we stare at the beautiful women "She's perfect for you, man, there's got to be somebody for me." I want to be Bob Dylan Mr. Jones wishes he was someone just a little more funky When everybody loves you, son, that's just about as funky as you can be Mr. Jones and me staring at the video When I look at the television I want to see me staring right back at me We all want to be big stars, but we don't know why and we don't know how But when everybody loves me I'm going to be just about as happy as I can be Mr. Jones and me: we're gonna be big stars... |


Want to check some League of Legends summoner stats? Type his name in the box below and discover his stats!


interface RecurrencePickerCallback
Interface to be implemented by either the parent fragment of this fragment, the target fragment or the parent activity. If none of these implements it, there won't be any callback.
onRecurrenceCreated |
Called if the "Done" button is clicked and a custom recurrence is created. abstract fun onRecurrenceCreated(recurrence: Recurrence): Unit |
onRecurrencePickerCancelled |
Called if the recurrence picker fragment back arrow is clicked, or if the recurrence picker dialog is cancelled by click outside or "Cancel" button. open fun onRecurrencePickerCancelled(): Unit |


Shane went to Maryland to visit Grandma Judy and Grandpa Mike. He met his cousin Justin too, and saw his Uncle Jeremy and Auntie Amber and their dog Jalapeno. He also helped Great Grandpa Bob celebrate his 80th birthday.
Shane went to Hopkinsville, Kentucky to visit Great Grandma Vivian and Great Grandpa Buddy, and Great Grandma Virginia. He also got to see Cousins Tim and Theresa and Ross and ride on their house boat. Great Aunt Kathy and Great Great Aunt Jesse also visited.
After all the excitement of the previous two weeks, Shane stayed home and worked on rolling over and pushing up on his arms. Shane is now 14.5 pounds and 26 inches long. That's pretty long for such a little fellow.
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[+] This is
Power Li
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[+] Working on
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.
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, Bash.
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Going Open Source
We’ve only been launched for a month and already the response has been terrific. We’ve had 55,082 votes on 42,614 different proposals. Those kinds of numbers are just wacky!
One of the reasons we originally started this project was because we were dissatisfied with existing dictionaries, both open and copyrighted. Traditional copyrighted dictionaries are owned by large corporations and if you want to use them in your project, it requires negotiating with a corporate sales person and signing a contract. Both of the major open dictionaries have major flaws. Wiktionary is unstructured and hard to reuse and WordNet is mostly abandoned and closed off from collaboration.
We realized we have both the skills and the opportunity to make that better.
We’ve had endless discussions trying to figure out how to weigh our desire to be the more open alternative vs being able to actually fund this project. We love open source, but can you open source a website and still make enough money to sustain it? Why can’t we find many other examples of open sourced websites? What happens if a big company wants to use Wordset, shouldn’t we get paid something for that? What about our belief in open source?
Starting this project was never about making a ton of money. There was never a spreadsheet that showed us making millions. It was always about the passion for doing something good and something useful for the world. But we would also love to be able to turn this into a project that can pay the bills.
It’s a careful balancing act to figure all of this out. We had fears of ruining the project because we can’t charge for things and therefore have no time to work on it. We had opposite fears of losing traction and community support if we keep everything closed.
In the end, we’ve decided to both open source the dictionary itself and the software that runs it. Specifically, we’re going to be choosing the same CC license for the content as Wikipedia uses, CC-BY-SA. For the source code, we’re going to be using the MIT License, one of the most liberal licenses out there. In fact, go check out our source code, right now on our Github site.
What made our minds up? It’s the overriding belief to trust our guts and morals. We believe that open systems are better for everyone involved. Even the creators of that content. We don’t know a lot of websites that have successfully run as open source, but we don’t know a lot that failed either. And we’re happy to put our money where our mouth is and see if we can make this thing go.
We still don’t know how we’re going to make revenue yet, but that’s something we have time to figure out. We are openly rejecting the idea that we have to choose between open systems and making a good living. We have faith that the path will become clear as we go on and that we’ll be better off by following what our hearts say.
Thank you to all of our amazing community members. You have all inspired us so much, and driven us to make this project amazing. Now, we’re looking to you not only to help with building definitions, but building the site itself!
Love and Language,
Hampton and Michael.


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v2.1.3
|
Macros | |
| #define | BLESERVICE_DIS_SERIAL_NUMBER_RR_EVENT 0x01 |
| #define | BLESERVICE_DIS_SERIAL_NUMBER_FORMAT_RR_EVENT 0x02 |
| #define | BLESERVICE_DIS_MANU_NAME_RR_EVENT 0x03 |
| #define | BLESERVICE_DIS_MANU_NAME_FORMAT_RR_EVENT 0x04 |
| #define | BLESERVICE_DIS_SYSTEM_ID_RR_EVENT 0x05 |
| #define | BLESERVICE_DIS_SYSTEM_ID_FORMAT_RR_EVENT 0x06 |
| #define | BLESERVICE_DIS_FIRMWARE_REVISION_RR_EVENT 0x07 |
| #define | BLESERVICE_DIS_FIRMWARE_REVISION_FORMAT_RR_EVENT 0x08 |
| #define | BLESERVICE_DIS_MODEL_NUMBER_RR_EVENT 0x09 |
| #define | BLESERVICE_DIS_MODEL_NUMBER_FORMAT_RR_EVENT 0x0A |
| #define | BLESERVICE_DIS_HARDWARE_REVISION_RR_EVENT 0x0B |
| #define | BLESERVICE_DIS_HARDWARE_REVISION_FORMAT_RR_EVENT 0x0C |
| #define | BLESERVICE_DIS_SOFTWARE_REVISION_RR_EVENT 0x0D |
| #define | BLESERVICE_DIS_SOFTWARE_REVISION_FORMAT_RR_EVENT 0x0E |
| #define | BLESERVICE_DIS_PNP_ID_RR_EVENT 0x0F |
| #define | BLESERVICE_DIS_PNP_ID_FORMAT_RR_EVENT 0x10 |
Here shows the event definitions of the DIS service.
| #define BLESERVICE_DIS_FIRMWARE_REVISION_FORMAT_RR_EVENT 0x08 |
DIS firmware revision presentation format read response event.
| #define BLESERVICE_DIS_FIRMWARE_REVISION_RR_EVENT 0x07 |
DIS firmware revision read response event.
| #define BLESERVICE_DIS_HARDWARE_REVISION_FORMAT_RR_EVENT 0x0C |
DIS hardware revision presentation format read response event.
| #define BLESERVICE_DIS_HARDWARE_REVISION_RR_EVENT 0x0B |
DIS hardware revision read response event.
| #define BLESERVICE_DIS_MANU_NAME_FORMAT_RR_EVENT 0x04 |
DIS manufacturer name presentation format read response event.
| #define BLESERVICE_DIS_MANU_NAME_RR_EVENT 0x03 |
DIS manufacturer name read response event.
| #define BLESERVICE_DIS_MODEL_NUMBER_FORMAT_RR_EVENT 0x0A |
DIS model number presentation format read response event.
| #define BLESERVICE_DIS_MODEL_NUMBER_RR_EVENT 0x09 |
DIS model number read response event.
| #define BLESERVICE_DIS_PNP_ID_FORMAT_RR_EVENT 0x10 |
DIS PnP id presentation format read response event.
| #define BLESERVICE_DIS_PNP_ID_RR_EVENT 0x0F |
DIS PnP id read response event.
| #define BLESERVICE_DIS_SERIAL_NUMBER_FORMAT_RR_EVENT 0x02 |
DIS serial number presentation format read response event.
| #define BLESERVICE_DIS_SERIAL_NUMBER_RR_EVENT 0x01 |
DIS serial number read response event.
| #define BLESERVICE_DIS_SOFTWARE_REVISION_FORMAT_RR_EVENT 0x0E |
DIS software revision presentation format read response event.
| #define BLESERVICE_DIS_SOFTWARE_REVISION_RR_EVENT 0x0D |
DIS software revision read response event.
| #define BLESERVICE_DIS_SYSTEM_ID_FORMAT_RR_EVENT 0x06 |
DIS system id presentation format read response event.
| #define BLESERVICE_DIS_SYSTEM_ID_RR_EVENT 0x05 |
DIS system id read response event.


| Home | Libraries | People | FAQ | More |
The following option applies only if BOOST_REGEX_RECURSIVE is set.
|
macro |
description |
|---|---|
|
BOOST_REGEX_HAS_MS_STACK_GUARD |
Tells Boost.Regex that Microsoft style __try - __except blocks are supported, and can be used to safely trap stack overflow. |
The following options apply only if BOOST_REGEX_NON_RECURSIVE is set.
|
macro |
description |
|---|---|
|
BOOST_REGEX_BLOCKSIZE |
In non-recursive mode, Boost.Regex uses largish blocks of memory to act as a stack for the state machine, the larger the block size then the fewer allocations that will take place. This defaults to 4096 bytes, which is large enough to match the vast majority of regular expressions without further allocations, however, you can choose smaller or larger values depending upon your platforms characteristics. |
|
BOOST_REGEX_MAX_BLOCKS |
Tells Boost.Regex how many blocks of size BOOST_REGEX_BLOCKSIZE it is permitted to use. If this value is exceeded then Boost.Regex will stop trying to find a match and throw a std::runtime_error. Defaults to 1024, don't forget to tweek this value if you alter BOOST_REGEX_BLOCKSIZE by much. |
|
BOOST_REGEX_MAX_CACHE_BLOCKS |
Tells Boost.Regex how many memory blocks to store in it's internal cache - memory blocks are taken from this cache rather than by calling ::operator new. Generally speeking this can be an order of magnitude faster than calling ::opertator new each time a memory block is required, but has the downside that Boost.Regex can end up caching a large chunk of memory (by default up to 16 blocks each of BOOST_REGEX_BLOCKSIZE size). If memory is tight then try defining this to 0 (disables all caching), or if that is too slow, then a value of 1 or 2, may be sufficient. On the other hand, on large multi-processor, multi-threaded systems, you may find that a higher value is in order. |


jl777c
24-Aug-18 04:06 PM
Chapter 2 - CC contract basics
Each CC contract has an eval code, this is just an arbitrary number that is associated with a specific CC contract. The details about a specific CC contract are all determined by the validation logic, that is ultimately what implements a CC contract.
However, unlike the normal bitcoin payments, where it is validated with only information in the transaction, a CC contract has the power to do pretty much anything. It has full access to the blockchain and even the mempool, though using mempool information is inherently more risky and needs to be done carefully or for exclusions, rather than inclusions.
However, this is the CC contract basics chapter, so let us ignore mempool issues and deal with just the basics. Fundamentally there is no structure for OP_CHECKCRYPTOCONDITION serialized scripts, but if you are like me, you want to avoid having to read and understand a 1000 page IETF standard. What we really want to do is have a logical way to make a new contract and have it be able to be coded and debugged in an efficient way.
That means to just follow a known working template and only changing the things where the existing templates are not sufficient, ie. the core differentiator of your CC contract.
 I imagined that similar to my coins repo, we can end up with a much larger than 256 number of CC contracts and you select the 256 that you want active for your blockchain. That does mean any specific chain will be limited to "only" having 256 contracts. Since there seems to be so few actually useful contracts so far, this limit seems to be sufficient. I am told that the evalcode can be of any length, but the current CC contracts assumes it is one byte.
The simplest CC script would be one that requires a signature from a pubkey along with a CC validation. This is the equivalent of the pay to pubkey bitcoin script and is what most of the initial CC contracts use. Only the channels one needed more than this and it will be explained in its chapter.
We end up with CC scripts of the form (evalcode) + (pubkey) + (other stuff), dont worry about the other stuff, it is automatically handled with some handy internal functions. The important thing to note is that each CC contract of this form needs a single pubkey and eval code and from that we get the CC script. Using the standard bitcoin's "hash and make an address from it" method, this means that the same pubkey will generate a different address for each different CC contract!
This is an important point, so I will say it in a different way. In bitcoin there used to be uncompressed pubkeys which had both the right and left half combined, into a giant 64 byte pubkey. But since you can derive one from the other, compressed pubkeys became the standard, that is why you have bitcoin pubkeys of 33 bytes instead of 65 bytes. There is a 02, 03 or 04 prefix, to mean odd or even or big pubkey. This means there are two different pubkeys for each privkey, the compressed and uncompressed. And in fact you can have two different bitcoin protocol addresses that are spendable by the same privkey. If you use some paper wallet generators, you might have noticed this.
CC contracts are like that, where each pubkey gets a different address for each evalcode. It is the same pubkey, just different address due to the actual script having a different evalcode, it ends up with a different hash and thus a different address. Now funds send to a specific CC address is only accessible by that CC contract and must follow the rules of that contract.
I also added another very useful feature where the convention is for each CC contract to have a special address that is known to all, including its private key. Before you panic about publishing the private key, remember that to spend a CC output, you need to properly sign it AND satisfy all the rules. By everyone having the privkey for the CC contract, everybody can do the "properly sign" part, but they still need to follow the rest of the rules.
From a user's perspective, there is the global CC address for a CC contract and some contracts also use the user pubkey's CC address. Having a pair of new addresses for each contract can get a bit confusing at first, but eventually we will get easy to use GUI that will make it all easy to use.


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See this blog entry for more information.
Here are some [links] in a normal paragraph: Google,
Google Groups (Link).
This link has class="blog"
:
diveintomark
Everything inside the red border is inside a div with id="foo"
.
This is a normal link: Yahoo
This link has class="blog"
: Simon Willison's Weblog
Try them out:


ABOUT
SoloSolly is an upcoming web designer who will stop at nothing in using his web skills to make the world a better place.
SoloSolly is a graduate civil engineer from JKUAT a years experience under his belt. He however took a pause on engineering to pursue Web Development because he thinks its essential in making the world a more efficient place, no matter the industry


- XmlAdaptedPerson - Class in seedu.address.storage
-
JAXB-friendly version of the Person.
- XmlAdaptedPerson()
- Constructor for class seedu.address.storage.XmlAdaptedPerson
-
Constructs an XmlAdaptedPerson.
- XmlAdaptedPerson(String, String, String, String, List<XmlAdaptedTag>)
- Constructor for class seedu.address.storage.XmlAdaptedPerson
-
Constructs an XmlAdaptedPerson
with the given person details.
- XmlAdaptedPerson(Person)
- Constructor for class seedu.address.storage.XmlAdaptedPerson
-
Converts a given Person into this class for JAXB use.
- xmlAdaptedPersonFromFile_fileWithInvalidPersonField_validResult()
- Method in class seedu.address.commons.util.XmlUtilTest
-
- xmlAdaptedPersonFromFile_fileWithMissingPersonField_validResult()
- Method in class seedu.address.commons.util.XmlUtilTest
-
- xmlAdaptedPersonFromFile_fileWithValidPerson_validResult()
- Method in class seedu.address.commons.util.XmlUtilTest
-
- XmlAdaptedPersonTest - Class in seedu.address.storage
-
- XmlAdaptedPersonTest()
- Constructor for class seedu.address.storage.XmlAdaptedPersonTest
-
- XmlAdaptedTag - Class in seedu.address.storage
-
JAXB-friendly adapted version of the Tag.
- XmlAdaptedTag()
- Constructor for class seedu.address.storage.XmlAdaptedTag
-
Constructs an XmlAdaptedTag.
- XmlAdaptedTag(String)
- Constructor for class seedu.address.storage.XmlAdaptedTag
-
Constructs a XmlAdaptedTag
with the given tagName
.
- XmlAdaptedTag(Tag)
- Constructor for class seedu.address.storage.XmlAdaptedTag
-
Converts a given Tag into this class for JAXB use.
- XmlAddressBookStorage - Class in seedu.address.storage
-
A class to access AddressBook data stored as an xml file on the hard disk.
- XmlAddressBookStorage(Path)
- Constructor for class seedu.address.storage.XmlAddressBookStorage
-
- XmlAddressBookStorageTest -
Class in seedu.address.storage
-
- XmlAddressBookStorageTest()
- Constructor for class seedu.address.storage.XmlAddressBookStorageTest
-
- XmlFileStorage - Class in seedu.address.storage
-
Stores addressbook data in an XML file
- XmlFileStorage()
- Constructor for class seedu.address.storage.XmlFileStorage
-
- XmlSerializableAddressBook -
Class in seedu.address.storage
-
An Immutable AddressBook that is serializable to XML format
- XmlSerializableAddressBook()
- Constructor for class seedu.address.storage.XmlSerializableAddressBook
-
Creates an empty XmlSerializableAddressBook.
- XmlSerializableAddressBook(ReadOnlyAddressBook)
- Constructor for class seedu.address.storage.XmlSerializableAddressBook
-
Conversion
- XmlSerializableAddressBookTest - Class in seedu.address.storage
-
- XmlSerializableAddressBookTest()
- Constructor for class seedu.address.storage.XmlSerializableAddressBookTest
-
- XmlUtil - Class in seedu.address.commons.util
-
Helps with reading from and writing to XML files.
- XmlUtil() - Constructor for class
seedu.address.commons.util.XmlUtil
-
- XmlUtilTest - Class in seedu.address.commons.util
-
- XmlUtilTest()
- Constructor for class seedu.address.commons.util.XmlUtilTest
-


Influencing Segment
Signicant Segment Appearances
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Scene Segmentation
Class Activation Map
Video Frame Image


{% extends 'layouts/master.html' %} {% block embed %} {{ uploadModal(ctx) }} {{ newAlbumModal(ctx) }}
The image system is new and under construction, so it's a bit rough around the edges. #willimprove
Here's the announcement post.
← Back to {{ user.uname }}'s profile
Max size: 1mb. Must be jpeg, gif, png.


Image compression via dimensionality reduction on the MNIST dataset with T-SNE Image Algorithm . We take 10000 images of digits, resize them to 10x10px and use T-SNE to organize them in two dimensions.
See the the paper for more details.


Software Development Company
based in Jakarta Indonesia
Core competence:
Java, Spring Framework, Hibernate,
MySQL, Tomcat, and other open source technologies
Core Business :
Software Development, Consulting, and Training
Lorem ipsum Ut elit minim esse Excepteur irure in mollit in aliquip elit do irure incididunt exercitation dolore culpa dolore dolore aliqua incididunt.
© 2013 Artivisi Intermedia


{% extends "templates.jinja/base.about.html" %} {% block title %}Safe Pregnancy and Birth{% endblock %} {% block id %}about{% endblock %} {% block content %}
This app is a collaboration between Hesperian and UnaMesa.
Hesperian Health Guides is a non-profit publisher of books, newsletters and online resources for community-based health care.
Visit Hesperian for more great resources.
The UnaMesa Association is a public charity dedicated to improving healthcare, education, and social services through innovations in technology and tools for sharing knowledge.
Learn more at www.unamesa.org


public interface Grid3D
extends java.io.Serializable
If you're using the Grid to define a toroidal (wrap-around) world, you can use the tx and ty and tz methods to simplify the math for you. For example, to increment in the x direction, including wrap-around, you can do: x = tx(x+1).
If you're sure that the values you'd pass into the toroidal functions would not wander off more than a grid dimension in either direction (height, width, length), you can use the slightly faster toroidal functions stx and sty and stz instead. For example, to increment in the x direction, including wrap-around, you can do: x = stx(x+1). See the documentation on these functions for when they're appropriate to use. Under most common situations, they're okay.
In HotSpot 1.4.1, stx, sty, and stz are inlined. In Hotspot 1.3.1, they are not (they contain if-statements).
While this interface defines various methods common to many grids, you should endeavor not to call these grids casted into this interface: it's slow. If you call the grids' methods directly by their class, their methods are almost certain to be inlined into your code, which is very fast.
| Modifier and Type | Field and Description |
|---|---|
static int |
ALL
"All" measurement rule for raidal neighborhood lookup.
|
static int |
ANY
"Any" measurement rule for raidal neighborhood lookup.
|
static int |
ANY_SIZE
Pass this into buildMap to indicate that it should make a map of any size it likes.
|
static int |
BOUNDED
Bounded Mode for neighborhood lookup.
|
static int |
CENTER
Center measurement rule for raidal neighborhood lookup.
|
static int |
TOROIDAL
Bounded Mode for toroidal lookup.
|
static int |
UNBOUNDED
Bounded Mode for neighborhood lookup.
|
| Modifier and Type | Method and Description |
|---|---|
java.util.Map |
buildMap(int size)
Creates a map of the provided size (or any size it likes if ANY_SIZE is passed in).
|
java.util.Map |
buildMap(java.util.Map other)
Creates a Map which is a copy of another.
|
int |
getHeight()
Get the height
|
int |
getLength()
Get the length
|
void |
getMooreLocations(int x,
int y,
int z,
int dist,
int mode,
boolean includeOrigin,
IntBag xPos,
IntBag yPos,
IntBag zPos)
Gets all neighbors of a location that satisfy max( abs(x-X) , abs(y-Y), abs(z-Z) ) <= dist.
|
void |
getNeighborsHamiltonianDistance(int x,
int y,
int z,
int dist,
boolean toroidal,
IntBag xPos,
IntBag yPos,
IntBag zPos)
Deprecated.
|
void |
getNeighborsMaxDistance(int x,
int z,
int y,
int dist,
boolean toroidal,
IntBag xPos,
IntBag yPos,
IntBag zPos)
Deprecated.
|
void |
getRadialLocations(int x,
int y,
int z,
double dist,
int mode,
boolean includeOrigin,
IntBag xPos,
IntBag yPos,
IntBag zPos)
Gets all neighbors overlapping with a spherical region centered at (X,Y,Z) and with a radius of dist.
|
void |
getRadialLocations(int x,
int y,
int z,
double dist,
int mode,
boolean includeOrigin,
int measurementRule,
boolean closed,
IntBag xPos,
IntBag yPos,
IntBag zPos)
Gets all neighbors overlapping with a spherical region centered at (X,Y,Z) and with a radius of dist.
|
void |
getVonNeumannLocations(int x,
int y,
int z,
int dist,
int mode,
boolean includeOrigin,
IntBag xPos,
IntBag yPos,
IntBag zPos)
Gets all neighbors of a location that satisfy abs(x-X) + abs(y-Y) + abs(z-Z) <= dist.
|
int |
getWidth()
Get the width
|
int |
stx(int x)
Simple [and fast] toroidal x.
|
int |
sty(int y)
Simple [and fast] toroidal y.
|
int |
stz(int z)
Simple [and fast] toroidal z.
|
int |
tx(int x)
Toroidal x.
|
int |
ty(int y)
Toroidal y.
|
int |
tz(int z)
Toroidal z.
|
static final int BOUNDED
static final int UNBOUNDED
static final int TOROIDAL
static final int CENTER
static final int ALL
static final int ANY
static final int ANY_SIZE
int getWidth()
int getHeight()
int getLength()
int tx(int x)
int ty(int y)
int tz(int z)
int stx(int x)
int sty(int y)
int stz(int z)
void getNeighborsMaxDistance(int x, int z, int y, int dist, boolean toroidal, IntBag xPos, IntBag yPos, IntBag zPos)
This function may only run in two modes: toroidal or bounded. Unbounded lookup is not permitted, and so this function is deprecated: instead you should use the other version of this function which has more functionality. If "bounded", then the neighbors are restricted to be only those which lie within the box ranging from (0,0,0) to (width, height,length), that is, the width and height of the grid. if "toroidal", then the environment is assumed to be toroidal, that is, wrap-around, and neighbors are computed in this fashion. Toroidal locations will not appear multiple times: specifically, if the neighborhood distance is so large that it wraps completely around the width or height of the box, neighbors will not be counted multiple times. Note that to ensure this, subclasses may need to resort to expensive duplicate removal, so it's not suggested you use so unreasonably large distances.
The origin -- that is, the (x,y,z) point at the center of the neighborhood -- is always included in the results.
This function is equivalent to: getNeighborsMaxDistance(x,y,dist,toroidal ? Grid3D.TOROIDAL : Grid3D.BOUNDED, true, xPos, yPos, zPos);
void getMooreLocations(int x, int y, int z, int dist, int mode, boolean includeOrigin, IntBag xPos, IntBag yPos, IntBag zPos)
This function may be run in one of three modes: Grid3D.BOUNDED, Grid3D.UNBOUNDED, and GrideD.TOROIDAL. If "bounded", then the neighbors are restricted to be only those which lie within the box ranging from (0,0,0) to (width, height,length), that is, the width and height of the grid. If "unbounded", then the neighbors are not so restricted. Note that unbounded neighborhood lookup only makes sense if your grid allows locations to actually be outside this box. For example, SparseGrid3D permits this but ObjectGrid3D and DoubleGrid3D and IntGrid3D and DenseGrid3D do not. Finally if "toroidal", then the environment is assumed to be toroidal, that is, wrap-around, and neighbors are computed in this fashion. Toroidal locations will not appear multiple times: specifically, if the neighborhood distance is so large that it wraps completely around the width or height of the box, neighbors will not be counted multiple times. Note that to ensure this, subclasses may need to resort to expensive duplicate removal, so it's not suggested you use so unreasonably large distances.
You can also opt to include the origin -- that is, the (x,y,z) point at the center of the neighborhood -- in the neighborhood results.
void getNeighborsHamiltonianDistance(int x, int y, int z, int dist, boolean toroidal, IntBag xPos, IntBag yPos, IntBag zPos)
This function may only run in two modes: toroidal or bounded. Unbounded lookup is not permitted, and so this function is deprecated: instead you should use the other version of this function which has more functionality. If "bounded", then the neighbors are restricted to be only those which lie within the box ranging from (0,0,0) to (width, height,length), that is, the width and height of the grid. if "toroidal", then the environment is assumed to be toroidal, that is, wrap-around, and neighbors are computed in this fashion. Toroidal locations will not appear multiple times: specifically, if the neighborhood distance is so large that it wraps completely around the width or height of the box, neighbors will not be counted multiple times. Note that to ensure this, subclasses may need to resort to expensive duplicate removal, so it's not suggested you use so unreasonably large distances.
The origin -- that is, the (x,y,z) point at the center of the neighborhood -- is always included in the results.
This function is equivalent to: getNeighborsHamiltonianDistance(x,y,dist,toroidal ? Grid3D.TOROIDAL : Grid3D.BOUNDED, true, xPos, yPos, zPos);
void getVonNeumannLocations(int x, int y, int z, int dist, int mode, boolean includeOrigin, IntBag xPos, IntBag yPos, IntBag zPos)
This function may be run in one of three modes: Grid3D.BOUNDED, Grid3D.UNBOUNDED, and GrideD.TOROIDAL. If "bounded", then the neighbors are restricted to be only those which lie within the box ranging from (0,0,0) to (width, height,length), that is, the width and height of the grid. If "unbounded", then the neighbors are not so restricted. Note that unbounded neighborhood lookup only makes sense if your grid allows locations to actually be outside this box. For example, SparseGrid3D permits this but ObjectGrid3D and DoubleGrid3D and IntGrid3D and DenseGrid3D do not. Finally if "toroidal", then the environment is assumed to be toroidal, that is, wrap-around, and neighbors are computed in this fashion. Toroidal locations will not appear multiple times: specifically, if the neighborhood distance is so large that it wraps completely around the width or height of the box, neighbors will not be counted multiple times. Note that to ensure this, subclasses may need to resort to expensive duplicate removal, so it's not suggested you use so unreasonably large distances.
You can also opt to include the origin -- that is, the (x,y,z) point at the center of the neighborhood -- in the neighborhood results.
void getRadialLocations(int x, int y, int z, double dist, int mode, boolean includeOrigin, IntBag xPos, IntBag yPos, IntBag zPos)
Places each x, y, and z value of these locations in the provided IntBags xPos, yPos, and zPos, clearing the bags first.
This function may be run in one of three modes: Grid3D.BOUNDED, Grid3D.UNBOUNDED, and GrideD.TOROIDAL. If "bounded", then the neighbors are restricted to be only those which lie within the box ranging from (0,0,0) to (width, height,length), that is, the width and height of the grid. If "unbounded", then the neighbors are not so restricted. Note that unbounded neighborhood lookup only makes sense if your grid allows locations to actually be outside this box. For example, SparseGrid3D permits this but ObjectGrid3D and DoubleGrid3D and IntGrid3D and DenseGrid3D do not. Finally if "toroidal", then the environment is assumed to be toroidal, that is, wrap-around, and neighbors are computed in this fashion. Toroidal locations will not appear multiple times: specifically, if the neighborhood distance is so large that it wraps completely around the width or height of the box, neighbors will not be counted multiple times. Note that to ensure this, subclasses may need to resort to expensive duplicate removal, so it's not suggested you use so unreasonably large distances.
You can also opt to include the origin -- that is, the (x,y,z) point at the center of the neighborhood -- in the neighborhood results.
void getRadialLocations(int x, int y, int z, double dist, int mode, boolean includeOrigin, int measurementRule, boolean closed, IntBag xPos, IntBag yPos, IntBag zPos)
Places each x, y, and z value of these locations in the provided IntBags xPos, yPos, and zPos, clearing the bags first.
This function may be run in one of three modes: Grid3D.BOUNDED, Grid3D.UNBOUNDED, and GrideD.TOROIDAL. If "bounded", then the neighbors are restricted to be only those which lie within the box ranging from (0,0,0) to (width, height,length), that is, the width and height of the grid. If "unbounded", then the neighbors are not so restricted. Note that unbounded neighborhood lookup only makes sense if your grid allows locations to actually be outside this box. For example, SparseGrid3D permits this but ObjectGrid3D and DoubleGrid3D and IntGrid3D and DenseGrid3D do not. Finally if "toroidal", then the environment is assumed to be toroidal, that is, wrap-around, and neighbors are computed in this fashion. Toroidal locations will not appear multiple times: specifically, if the neighborhood distance is so large that it wraps completely around the width or height of the box, neighbors will not be counted multiple times. Note that to ensure this, subclasses may need to resort to expensive duplicate removal, so it's not suggested you use so unreasonably large distances.
You can also opt to include the origin -- that is, the (x,y,z) point at the center of the neighborhood -- in the neighborhood results.
java.util.Map buildMap(java.util.Map other)
java.util.Map buildMap(int size)


IntroductionFrequently asked questionsSyntax, keywords and built-in functionsStandard distributionimport implementationBrowser interface
Introduction - DOM API
Creating a document Accessing elements Attributes and methods Events Mouse events Keyboard events Focus events Drag events Query string Using Javascript objects and libraries Brython-specific built-in modules
browser
browser.ajax browser.html browser.local_storage browser.markdown browser.object_storage browser.session_storage browser.svg browser.timer browser.websocket javascript Working with Brython
Options of function
brython()
Installing the development environment Testing and debugging Deploying an application Brython for Firefox OSCookbook |
Accessing elementsGetting access to an element can be done in different ways. The most usual is to use its identifier, ie its attribute id : with an input field defined bywe can get a reference to this field by<input id="data"> from browser import document data = document["data"] document is defined in module browser and refers to the HTML document. It behaves like a dictionary whose keys are the identifiers of the elements in the page. If no element has the specified id, the program raises a KeyError exception
We can also get all the elements of a given type, for instance all the hypertext links (HTML tag A ), using the syntax
from browser import document from browser import html links = document[html.A]Finally, all the elements in the page have a method get() that can be used to search elements :
document.get(selector='.foo') # elements with class "foo" document.get(selector='form') # list of tags "<form>" document.get(selector='H1.bar') # H1 tags with class "bar" document.get(selector='#container') # the element with id "container", same as [document["container"]] document.get(selector='a[title]') # A tags with an attribute "title" |


(% include "includes/head.html" %)
(% include "includes/loading.html" %)
(% include "includes/navbar.html" %)
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WITNESS LIST Public Education Committee February 17, 2005-2:00P HB 2 For: Cunningham, William H. (Self) Gilden, David (Sepstart, Inc.) Lee Jiles, Jodie (Greater Houston Partnership) Ritter, Phil (Texas Instruments Incorporated) Smith, Ph.D., Steven M. (Sept Start, Inc.) Winick, Darv (Self) On: Beneski, Amy (Texas Association of School Administrators) Bruno, Tina (Texans for a Traditional School Year) Gregg, Brock (Association of TX Professional Educators) Winkler, Sarah (Texas Association of School Boards; Alief ISD)


Copyright © 2009 Joe Armstrong
Authors: Joe Armstrong (erlang@gmail.com).
$ eindex -crawl Name Input Name.in Output: Name.files and Name.crawl $ eindex -index Name Input: Name.crawl Output: Name.index $ eindex -dump Name Input Name Output: Name.tmp example eindex -dump test2.crawl produces test2.crawl.tmp $ eindex -dumpIndex Name Input: Name.index Output: Name.index.tmp $ eindex -statstics Name Input: Name.index Output: Statistics $ eindex -search Name "String" Input Name.in Output: matching objects example: eindex -search test2 "property lists" $ eindex -help prints usage
-crawlIs used to gather a collection of files together prior to indexing. The file Name.in contains a list of directories and file extensions which control the gathering phase. All matching files specified in the input file are read, compressed and appended into a single file called a crawl. This file will be rather large, depending upon the size of the scan - but it contains all the data we need for the subsequent indexing phases. In a typical gather phase, I collect 46,000 Erlang files on my disk and compress them into a single 120 MByte file.
{Term:any(), Extension::string(), Md5Content::binry(), compressedContent::binary()}The indexer uses a number or different file formats. These are contained in files with the extensions .in .crawl and .index.
{"/Users/joe/code/elib2-1", ".erl"}. {"/Users/joe/msi/2005/erl/projects/supported", ".erl"}.When the first phase of indexing occurs we crawl through the file system looking for all files under the root /Users/joe/code/elib2.1 with the file extension .erl. Symbolic links are followed if they point within the root directory, but circular links are not followed. All the Erlang code found is compressed and appended to a so called "crawl" file. The crawl file is a sequence of tuples of the form
{FileName::string(), Md5::binary(), CompressedContent::binary()}
<<(size(tuple_to_binary(T)):32-unsigned-big-integer), tuple_to_binary(T)>>Stored on disk in binary tuple format (ie as a 4 byte length header,
| crawl_files/1 | Reads Name.in and finds all the files in the input packing them in a file called Name.crawl. |
| do/1 | |
| dump_index/1 | |
| extract/2 | given the name of a crawl file and a pointer into the crawl return the filename and content of the file stored in the crawl. |
| list_files/2 | |
| lookup/2 | |
| make_index/2 | |
| q/2 | |
| q/3 |
crawl_files(Name) -> any()
Reads Name.in and finds all the files in the input packing them in a file called Name.crawl. This calls init:stop() when it has finished.
do(Cmd) -> any()
dump_index(Name) -> any()
extract(Name, I) -> any()
given the name of a crawl file and a pointer into the crawl return the filename and content of the file stored in the crawl.
list_files(Name, L) -> any()
lookup(Name, Str) -> any()
make_index(Name, Top) -> any()
q(Name, Str) -> any()
q(Dir, Name, Str) -> any()
Generated by EDoc, Dec 9 2009, 19:02:44.


I'm from a small suburb of Chicago called Riverside. I am 24 years old and have a B.S. in Nutrition and Wellness with a minor in Marketing from Bradley University at Peoria, IL. It should be no surprise that I love cooking, nutrition, and working out. I love traveling to new places and experiencing different cultures. The picture of me to the right is in Amsterdam - one of my all time favorite cities! If I ever watch TV, which isn't very often, 99% of the time I will be watching The Food Network and Travel Channel. Andrew Zimmern, the host of my favorite show on Travel Channel - Bizarre Foods, says:
"I believe that sharing food is the best way to experience other cultures, so I travel the world sampling one tasty morsel at a time."
This quote embodies how I feel about food and travel. I had the pleasure of experiencing different parts of Italy, Spain, The Netherlands, France, and Germany two years ago. My most recent trip was to Seattle where I spent a week with my brother. I plan to keep visiting new places and experience as many new things as possible.


Trump attacks US diplomat as she testifies in impeachment probe
President Donald Trump on Friday tweeted an attack against the former US ambassador to Ukraine while she was in the middle of testifying in his impeachment probe, saying everything she touched went "bad".
The president's furious response came as Marie Yovanovitch testified in the House of Representatives about her abrupt firing from her post in Ukraine following an alleged smear campaign by Trump's allies.
"Everywhere Marie Yovanovitch went turned bad," Trump said, finishing his tweet with a reminder that presidents have the "absolute right" to hire and fire ambassadors.


The Javadoc tool ignores dangling Javadoc comments and doesn't include them in the generated HTML documentation.
Example:
class A {
/**
* Dangling comment
*/
/**
* Method javadoc
*/
public void m(){}
}
A quick-fix is available to delete such comments completely or convert them into a block comment. After the quick-fix is applied:
class A {
/*
Dangling comment
*/
/**
* Method javadoc
*/
public void m(){}
}


Configuration is complete. You can return to configuration wizard from configuration page at any time.


Simple real-time messaging in web applications.
If you like Centrifuge, consider supporting the author:
Feedback is greatly appreciated. If you have any questions, comments, random praise, or anonymous threats, send me an email.


Contents:
Restware is a plugin for bottle and a piece of middleware (wsgi) to help developers create more guideline-conforming REST APIs using bottle.
Released under the BSD 2-Clause license, http://opensource.org/licenses/BSD-2-Clause
Middleware that handles de-gzipping incoming request body data. This should work with any other WSGI app obviously, but it is tested with Bottle, and it is designed to work in conjunction with the RestwarePlugin (which handles gzipping response body data).
This method is deprecated. See RestwarePlugin which performs all post-request handling operations.
This is not the right way to post-process responses, it seems. You can easily manipulate response body data here, but you have no access to the response headers. Worse, wrapping the start_response function to get access to the headers list is not a good solution because some webservers do different things with it: CherryPy extends another list with those headers as soon as the start_response is called, so we have no access to the “real” list of headers and cannot manipulate them; Bottle’s reference WSGI webserver does not, and so the hooking technique works there.
A better place to do this is via bottle plugin, before the start_response function is called.
The method lets see the request before the app does, so it’s a reasonable place to look at the request body and request headers to see if any gzipped content was provided, and transparently handle it. If nothing is given, or was was given is gzip-encoded, then this method does not tamper with anything.
This plugin is designed to fix a few peculiar behaviors that keep Bottle from being a really good engine for quickly developing a REST-esque API.
You can configure just one thing: what route prefix should be handled as JSON for response body data. This lets your app serve up documentation (static HTML, likely) while a set of routes that make up your API’s operations are all treated as if they’re going to return JSON
This method wraps the given callback function so that we can try to serialize the response data as JSON, and then Gzip the returned string. This only applies in two scenarios: - for routes whose rule starts with some user-defined base path under which all API operations lie - for errors (400+)
This only applies when the data returned from the callback if of type list or dict. If it is something else, then we let bottle do whatever it would normally do. Other data will be returned, but a warning message is printed to stdout if a /api/* route returns something we aren’t able to serialize as JSON.
We can also return pretty-printed JSON. All the client must do is specify the “pretty” query parameter and give it the “true” value: &pretty=true
Ensures the output is JSON. That’s all this method does.
This preprocessor specifically looks for POSTed JSON that exceeds bottle’s MEMLIMIT (102400 bytes I think)
Set all error status codes so that our own error handler function is used. We’ll also go ahead and wrap that function with our Gzip and JSON’ing method (apply()). This way we get uniform behavior from our app, even when errors are returned: the client will never see HTML, only text or JSON.


{% extends "bootstrap/base.html" %} {% block title %} pitcher App {% endblock %} {% block styles %} {{super()}} {% endblock %} {% block content %} Toggle navigation pitcher Login Sign Up
To view pitches Login to your account If you have no account you can sign up to create an account
“Any fool can write code that a computer can understand. Good programmers write code that humans can understand.”
“First, solve the problem. Then, write the code.”
“Experience is the name everyone gives to their mistakes.”
“Sometimes it pays to stay in bed on Monday, rather than spending the rest of the week debugging Monday’s code.”
“Perfection is achieved not when there is nothing more to add, but rather when there is nothing more to take away.”
“Optimism is an occupational hazard of programming: feedback is the treatment. “


 You’re just an ordinary lassie or laddie who gets too much goddamned email.
I think Matt is out of touch with what is a truly realistic scenario for the ordinary lassie or laddie:
His "reply within 24 hours list" betrays his grasp on email reality: clients, luminaries, bloggers, journalists whose names you know, people donating to you and people buying you stuff. Very few people will ever get email from any of these people.
After earlier suggesting GTD systems "are not for normal people; they’re for obsessive-compulsives who just happen to prefer filtering email than counting toothpicks or quadruple-checking that the oven is off" Matt suggests filtering email:
If you have multiple projects and clients, chuck the emails in per-project non-inbox folders; your non-work email shouldn’t ever get past ten unanswered messages at any time.
But it’s followed with one of two pieces of advice I agree with:
If you literally don’t have time each day to do that simple piece of filing, you’re getting too many work emails, and you need to actively start cultivating a reputation as a simmering psychopath who may or may not bring a weapon into the office if he gets just one more stupid email.
This year I developed a reputation at work for despising meetings and it worked, I’ve only been invited to one meeting all year to the benefit of my real productivity. I believe technical solutions can alleviate problems like too much email but this kind of "social engineering" really works well.
That combined with automatically deleting (as Matt suggests) or simply unsubscribing from every newsletter, social network notification and PR announcement list will wipe out your email burden to the point where no systems, rules or bankruptcy are required.


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When I first started working with Chef, there were a couple of areas that I knew were going to be really awesome and helpful but I wasn’t sure how to get started with them. In this presentation, I’ll provide a quick introduction to five things you’ve always wanted to know about Chef but were afraid to ask.
I gave this presentation at #ChefConf 2012.
Level-up your Chef skills by learning about these areas of Chef:
- Attribute Precedence - Role, environment, cookbook, data bag? Which attribute value will be used in my chef run?
- Encrypted Databags - Chef 0.10 brought us encrypted databags. We’ll look at how to create and use databags and how to keep them up-to-date in your repository.
- LWRP - What is a LWRP? How and why do you create one? We’ll look at a couple of sample LWRPs and learn how to build a simple one.
- Error Handlers - Demystify exception and report handlers by writing a simple one and seeing examples of how they work in the wild.
- Capistrano and Chef - Take a quick look at why and how to integrate Chef search into your Capistrano configuration to make deploying your Rails apps even easier.
One thing I didn’t mention in the presentation was how to use the data from the encrypted data bag. I’ve updated the slides to include this info but it doesn’t appear in the video. In any case, here’s a quick demo of how you might use it:
1 2 3 4 5 6 7 8 9 10 11 |
|
Video
Slides
Reposted from the CustomInk Technology blog.


Dog The Bounty Hunter Proves He’s ‘Alive’ By Holding Up Newspaper And Sign After Fans Express Concerns Over His Health
by Nick MarkusFans have been worried about Dog the Bounty Hunter’s wellbeing to the point that he decided to just take a pic with the newspaper reading that day’s date to prove he’s not dead! Duane was also holding a piece of paper on which it was written ‘I’m Alive’ in case it was not clear enough.
This post comes after rumors started going around that he suffered another pulmonary embolism.
After losing his wife, Beth Chapman to throat cancer last summer, Duane hasn’t been doing well, be it emotionally or physically.
Since the man’s health hasn’t been the best either, fans have been worried he was in the hospital after suffering a second pulmonary embolism.
But Duane made sure everyone knew he was alive and well by sharing that pic.
Not only is he Okay but Dog was apparently heading out for a workout when he took that photo which proves he is determined to stay healthy and in shape.
Seeing that so many people on his platform expressed concern over his state, Dog thought it was a better idea to put those to rest by showing them he was doing fine, rather than just telling them that.
Back in September, he was admitted to the hospital for what was thought to be a ‘heart emergency,’ initially.
However, it turned out to be a pulmonary embolism, which meant that one or more of his arteries in his lungs were blocked by clots.
This sort of condition can be deadly but Duane was lucky enough to receive the help he needed in due time.


Aspire to be a leading provider of innovative solutions like Wireless, Routing & Switching, Security, VoIP, Surveillance, Data Centre, Voice & Video, & Storage space maximizing productivity & profitability for each of stake holder’s.
To be the leading "Information Management" Solutions & Services Company Enable our customers adopt new technologies Use "Information" effectively Create business strategies and be productive Products
Our IT Infra Services will transform your IT platform with effective infrastructure management solutions.
We leverage 20 year of networking experience to deliver an effective global network infrastructure.
TelExcell helps ensure the appropriate level of auditability for enterprise wireless LAN deployments.
We are focused on providing system-level solutions that enable accelerated design cycles, & lower costs.
We provide mission critical solutions that span access control, security management & surveillance solutions.
We delivers managed communications solutions to simply & securely interact & transact with other industries.
We provide a family of switching & routing products that exceeds all prospects for building the network needed.
We provide rich-media skills as secured high - density voice & video connectivity, conference & transcoding.
In 1993, TelExcell entered the growing telecommunications market selling dial-up modems and as the technology matured, got into the wireless space by upgrading to the latest technologies. From a small size operation, TelExcell has grown to be a dynamic enterprise with over 150+ employees and 15 locations. We have continually expanded services in response to customer needs.
For over 21 years, we've been dedicated to helping businesses use technology to increase productivity & profits. We are a trusted advisor for all your IT / Telecom needs, including telephone systems, carrier services, voice/ video/data networks, IP Surveillance, Internet services, structured cabling and IT services..
We believe that the company's strength lies in its core values such as integrity, honesty, commitment, team work, and professionalism and that these will drive the growth in the future.
“Everything went extremely well, was completed on the expected schedule and they had 0 down time. I had all the information I needed to do the service switch over during the appointed time, and it went flawlessly. This set up was a testament to the skill of your team there at TelExcell. I will not hesitate to recommend your services wherever there is an opportunity."
Verticle is a trusted advisor for all your IT / Telecom needs, including telephone systems, carrier services, voice / video / data networks, IP Surveillance, Internet services, structured cabling and IT services.


Chelsea Football Club are an English professional football club based in Fulham, London. Founded in 1905, they compete in the Premier League, the top division of English football. Chelsea are among England's most successful clubs; they have been league champions six times, and won over thirty competitive honours - including six European trophies. Their home ground is Stamford Bridge learn more...
The legends of Chelsea are uncountable, including George Weah who is the current President of LIberia. However, these three were chosen to represent the other Grreat Blues.
During his time at the club, he won the UEFA Cup Winners' Cup, the UEFA Super Cup, two FA Cups, the League Cup, and the Community Shield. In 2003, he was voted Chelsea's greatest player ever.
He is best known for his career at Chelsea, for whom he has scored more goals than any other foreign player and is currently the club's fourth highest goal scorer of all time. Widely regarded as one of Chelsea's greatest players.
As a player, he is widely considered to be one of the greatest Chelsea players of all-time and one of the greatest midfielders of his generation. In his thirteen years with the team, Lampard established himself as a prolific scorer from midfield, becoming Chelsea's all-time leading goalscorer, with 211 goals scored in all competitions


4.5.1 Console Preferences
The stream-based console window is a completely separate library, using
its own configuration info. It will look at the environment variable
CONSOLE, which should contain a string of the form
name:value{,name:value} where name is
one of the following:
sl
- The number of lines you can scroll back. There is no limit, but the
more you specify the more memory will be used. Memory is allocated when
data becomes available. The default is 200.
rows
- The initial number of lines. The default is 24.
cols
- The initial number of columns. The default is 80.
x
- The X coordinate of the top-left corner. The default is determined by
the system.
y
- The Y coordinate of the top-left corner. The default is determined by
the system.
Many of these settings are also accessible from the menu `Settings'
of the console.
Send feedback on this subject.


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I’d like to extend my deepest gratitude to John Hansen and his family for sharing the transcription of their grandfather’s diary and permitting his story to be told. Their generous assistance throughout the development of this project was immensely valued.
An enormous amount of appreciation is held for the kindness of Dr. Jennifer Summers and Lynne Blake, who, in the midst of the stresses associated with the COVID-19 pandemic, took the time to reply to an inquiry from a student on the other side of the world, and made this project possible.
Special thanks to Sam Underwood, whose talents as a developer are only surpassed by his enthusiastic support, no matter the challenge.
I would also like to thank the members of my Master’s Committee for their guidance throughout this endeavor. Committee Chair Julie Elman’s support predates the scope of this project and began in 2013 when she first interviewed me as a prospective freshman at the School of Visual Communication.
Finally, I would like to thank my parents for their wisdom and unwavering support at every step of this voyage.
Part III
Message in a bottle
Decimated by an invisible enemy (page 48)
To be completed...
SOURCES & FURTHER READING
A stricken ship
Summers JA, Wilson N, Baker MG, Shanks GD. Mortality risk factors for pandemic influenza on New Zealand troop ship, 1918. Emerg Infect Dis. 2010;16(12):1931-1937. doi:10.3201/eid1612.100429
Summers JA. Pandemic Influenza Outbreak on a Troop Ship—Diary of a Soldier in 1918. Emerg Infect Dis. 2012;18(11):1900-1903. https://dx.doi.org/10.3201/eid1811.ad1811
Part II
Copyright © 2020 Chance Brinkman-Sull and Ohio University
For academic use only. Not for resale. All rights reserved.
A crowded ship
This project was produced in partial fulfillment of the requirements for the Master of Arts from the School of Visual Communication in the Scripps College of Communication at Ohio University.
Master’s Project Committee Members:
Julie Elman — Committee Chair, Tim Goheen, Mark Franz
Written, designed & developed by
Chance Brinkman-Sull
Pandemic spread to Africa
Logs of HMS Mantua
To be completed...
This project is dedicated to the memory of Marcus Christian Hansen, New Zealand’s 40th reinforcements and all those who suffered as a result of the outbreak on HMNZT Tahiti.
CREDITS & ACKNOWLEDGEMENTS
Part I
A steadfast ship


--- layout: post title: I Unqua Turë (The Hollow Victory) date: 2014-10-11 10:31:30.000000000 -05:00 categories: - Personal tags: - computer - elvish - latex - quenya - tengwar - Tolkien status: publish type: post published: true author: image: /assets/images/unqua-ture.png ---
After trying, still unsuccessfully, to configure LaTeX to generate Quenya (cursive or otherwise), I have given up. I have decided to just use the text editor that came with iWei(1).
I'm not 100% happy with this arrangement. Currently, to generate tengwar text, I have to go through the following steps:
1) Write the quenya itself using a system of romanization.
2) Look up the relevant tengwar for each letter. (I know the vowels, but much more uncomfortable with the consonents.)
3) Look up the keycode for how to type the Tengwar, because it does not match the closest English letter at all. For example, the vowel 'ah' (you can see it in the triple ''' in the title) can be typed with either #,E,D, or C, depending upon where it should be placed.
However, until I can get LaTeX to actually see the new fonts (I have followed multiple tutorials,) I may just have to let it go and do it the tedious way. I can create cursive tengwar now, but it's still a hollow victory (unqua turë).
1) Liswamírë and I have named the three Macs in our household after the states during the Chinese period of Three Kingdoms: iWei (my Macbook), iWu (her Macbook), and iShu (a Mac Mini server).


mainly for use with the QuickTime headers e.g. copy
int x;
float y;
to the upper text area, press the "var" button and you get
x:int;
y:float;
at the bottom text area
Download: C2PasFilter_20011108.zip
Source code:
Source code in Object Pascal / Delphi (the .DPR file holds the Delphi command-line project code) included
(C)opyright 2001 - Zoomicon / George Birbilis
Free to use / give due credit


Input validation for Units¶
- Maintainer
Masatake YAMATO<EMAIL_ADDRESS>We have to maintain parsers for languages that we don’t know well. We don’t have enough time to learn the languages.
Units test cases help us not introduce wrong changes to a parser.
However, there is still an issue; a developer who doesn’t know a target language well may write a broken test input file for the language. Here comes “Input validation.”
You can validate the test input files of Units with validate-input make target if a validator for a language is defined.
How to run and an example session¶
Here is an example validating an input file for JSON.
$ make validate-input VALIDATORS=jq
...
Category: ROOT
------------------------------------------------------------
simple-json.d/input.json with jq valid
Summary
------------------------------------------------------------
#valid: 1
#invalid: 0
#skipped (known invalidation) 0
#skipped (validator unavailable) 0
This example shows validating simple-json.d/input.json as an input file with jq validator. With VALIDATORS variable passed via command-line, you can specify validators to run. Multiple validators can be specified using a comma-separated list. If you don’t give VALIDATORS, the make target tries to use all available validators.
The meanings of “valid” and “invalid” in “Summary” are apparent. In two cases, the target skips validating input files:
#skipped (known invalidation)
A test case specifies KNOWN-INVALIDATION in its validator file.
#skipped (validator unavailable)
A command for a validator is not available.
validator file¶
validator file in a Units test directory specifies which validator the make target should use.
$ cat Units/simple-json.d/validator
jq
If you put validator file to a category directory (a directory having .r suffix), the make target uses the validator specified in the file as default. The default validator can be overridden with a validator file in a subdirectory.
$ cat Units/parser-puppetManifest.r/validator
puppet
# cat Units/parser-puppetManifest.r/puppet-append.d/validator
KNOWN-INVALIDATION
In the example, the make target uses puppet validator for validating the most of all input files under Units/parser-puppetManifest.r directory. An exception is an input file under Units/parser-puppetManifest.r/puppet-append.d directory. The directory has its specific validator file.
If a Unit test case doesn’t have expected.tags file, the make target doesn’t run the validator on the file even if a default validator is given in its category directory.
If a Unit test case specifies KNOWN-INVALIDATION in its validator file, the make target just increments “#skipped (known invalidation)” counter. The target reports the counter at the end of execution.
validator command¶
A validator specified in a validator file is a command file put under misc/validators directory. The command must have “validator-” as prefix in its file name. For an example, misc/validators/validator-jq is the command for “jq”.
The command file must be an executable. validate-input make target runs the command in two ways.
is_runnable method
Before running the command as a validator, the target runs the command with “is_runnable” as the first argument. A validator command can let the target know whether the validator command is runnable or not with exit status. 0 means ready to run. Non-zero means not ready to run.
The make target never runs the validator command for validation purpose if the exit status is non-zero.
For an example, misc/validators/validator-jq command uses jq command as its backend. If jq command is not available on a system, validator-jq can do nothing. If such case, is_runnable method of validator-jq command should exit with non-zero value.
validate method
The make target runs the command with “validate* and an input file name for validating the input file. The command exits non-zero if the input file contains invalid syntax. This method will never run if is_runnable method of the command exits with non-zero.


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