Technology is first robustly defined by Jacob Bigelow in 1829 as: principles, processes, and nomenclatures of the more conspicuous arts, particularly those which involve applications of science, and which may be considered useful, by promoting the benefit of society, together with the emolument [compensation] of those who pursue them
The simplest form of technology is the development and use of basic tools. The prehistoric discovery of how to control fire and the later Neolithic Revolution increased the available sources of food, and the invention of the wheel helped humans to travel in and control their environment. Developments in historic times, including the printing press, the telephone, and the Internet, have lessened physical barriers to communication and allowed humans to interact freely on a global scale.
The use of the term "technology" has changed significantly over the last 200 years. Before the 20th century, the term was uncommon in English, and it was used either to refer to the description or study of the useful arts.
The term technology rose to prominence in the 20th century in connection with the Second Industrial Revolution. The term's meanings changed in the early 20th century when American social scientists, beginning with Thorstein Veblen, translated ideas from the German concept of Technik into technology. Technology can be most broadly defined as the entities, both material and immaterial, created by the application of mental and physical effort in order to achieve some value. In this usage, technology refers to tools and machines that may be used to solve real-world problems. It is a far-reaching term that may include simple tools, such as a crowbar or wooden spoon, or more complex machines, such as a space station or particle accelerator. Tools and machines need not be material; virtual technology, such as computer software and business methods, fall under this definition of technology.
The distinction between science, engineering, and technology is not always clear. Science is systematic knowledge of the physical or material world gained through observation and experimentation.
Engineering is the goal-oriented process of designing and making tools and systems to exploit natural phenomena for practical human means, often (but not always) using results and techniques from science. Technology is often a consequence of science and engineering, although technology as a human activity precedes the two fields.
Hominids started using primitive stone tools millions of years ago. The earliest stone tools were little more than a fractured rock, but approximately 75,000 years ago, (method of trimming the edge of a stone tool by removing small lithic flakes) pressure flaking provided a way to make much finer work.
The discovery and utilization of fire, a simple energy source with many profound uses, was a turning point in the technological evolution of humankind. Fire, fueled with wood and charcoal, allowed early humans to cook their food to increase its digestibility, improving its nutrient value and broadening the number of foods that could be eaten.
Other technological advances made during the Paleolithic era were clothing and shelter; the adoption of both technologies cannot be dated exactly, but they were a key to humanity's progress.
Evidence suggests that human beings may have begun wearing clothing as far back as 100,000 to 500,000 years ago. Ice age humans wore furs for warmth. Not long ago, primitive cultures of the north chewed hides to make them supple. Clothing, adapted from the fur and hides of hunted animals. The earliest proof of silk production in China dates from between 5000 and 3000 BC and is in the form of cocoon of the domesticated silkworm which was cut in half by a sharp knife.Silk-weaving was well established around the Mediterranean by the beginning of the 15th century.
In the earliest prehistoric era, before Man knew how to build shelters, they made use of the natural environment to provide them with shelter. Trees were the earliest form and another being caves. Later it was developed as they began to build cabins on the banks of rivers and in the treetops. In the 15th century, houses were built with huge bricks of mud houses and all homes had a courtyard in the Center.
Before, humans had been learning to harness other forms of energy. The earliest known use of wind power is the sailing ship; the earliest record of a ship under sail is that of a Nile boat dating to the 8th millennium BCE.
The invention of the wheel(invented around 4000 BCE) revolutionized trade and war. It did not take long to discover that wheeled wagons could be used to carry heavy loads. A stone pottery wheel found in the city-state of Ur dates to around 3429 BCE, and even older fragments of wheel-thrown pottery have been found in the same area. Fast (rotary) potters' wheels enabled early mass production of pottery, but it was the use of the wheel as a transformer of energy (through water wheels, windmills, and even treadmills) that revolutionized the application of nonhuman power sources.
The oldest known constructed roadways are the stone-paved streets of the city-state of Ur, dating to circa 4000 BCE and timber roads leading through the swamps of Glastonbury, England, dating to around the same time period. The first long-distance road, which came into use around 3500 BCE. In the Industrial Revolution, John Loudon McAdam designed the first modern highways, using inexpensive paving material of soil and stone aggregate (macadam).
The history of rail transportation dates back nearly 500 years, and includes systems with man or horse power and rails of wood. During the 17th and 18th century, when scientists began analysing the Earth's atmosphere, gases such as hydrogen were discovered which in turn led to the invention of hydrogen balloons. the earliest clearly verifiable human flight took place in Paris in 1783 and went 5 miles (8.0 km) in a hot air balloon
The word "plumber" dates from the Roman Empire. Plumbing originated during ancient civilizations such as the Greek, Roman, Persian, Indian, and Chinese cities as they developed public baths and needed to provide potable water and wastewater removal, for larger numbers of people. Ancient Minoan private homes had running water.
Plumbing reached its early apex in ancient Rome, which saw the introduction of expansive systems of aqueducts, tile wastewater removal, and widespread use of lead pipes. Eventually the development of separate, underground water and sewage systems eliminated open sewage ditches and cesspools.
Most large cities today pipe solid wastes to sewage treatment plants in order to separate and partially purify the water, before emptying into streams or other bodies of water. For potable water use, galvanized iron piping was commonplace in the United States from the late 1800s until around 1960. After that period, copper piping took over, first soft copper with flared fittings, then with rigid copper tubing utilizing soldered fittings.
Generally, technicism is the belief in the utility of technology for improving human societies. Technicism is the belief that humanity will ultimately be able to control the entirety of existence using technology. In other words, human beings will someday be able to master all problems and possibly even control the future using technology.
More commonly, technicism is a criticism of the commonly held belief that newer, more recently developed technology is "better." For example, more recently developed computers are faster than older computers, and more recently developed cars have greater gas efficiency and more features than older cars.
Optimistic assumptions are made by proponents of ideologies such as transhumanism(international intellectual movement that aims to transform the human condition) and singularitarianism(movement defined by the belief that a technological singularity(the creation of superintelligence) will likely happen in the medium future), which view technological development as generally having beneficial effects for the society and the human condition. In these ideologies, technological development is morally good.
Transhumanists generally believe that the point of technology is to overcome barriers, and that what we commonly refer to as the human condition(characteristics, key events, and situations which compose the essentials of human existence) is just another barrier to be surpassed. On the other hand, singularitarians believe in some sort of accelerating change(perceived increase in the rate of technological change), and that this will culminate in a "Singularity" after artificial general intelligence is invented in which progress is nearly infinite.
Certain philosophers like Herbert Marcuse and John Zerzan, believe that technological societies are inherently flawed. They suggest that the inevitable result of such a society is to become evermore technological at the cost of freedom and psychological health. What this entails is a more complex relationship to technology than either techno-optimists or techno-pessimists tend to allow.
Some of the most poignant criticisms of technology are found in what are now considered to be dystopian literary classics.
In Goethe's Faust(tragic play in two parts by Johann Wolfgang von Goethe), Faust selling his soul to the devil in return for power over the physical world is also often interpreted as a metaphor for the adoption of industrial technology. More recently, modern works of science fiction such as those by Philip K. Dick and William Gibson and films such as Blade Runner and Ghost in the Shell project highly ambivalent or cautionary attitudes toward technology's impact on human society and identity.
Nikolas Kompridis has also written about the dangers of new technology, such as genetic engineering, nanotechnology, synthetic biology, and robotics. He warns that these technologies introduce unprecedented new challenges to human beings, including the possibility of the permanent alteration of our biological nature. These concerns are shared by other philosophers, scientists and public intellectuals.


Instrument Response¶
Introduction¶
A function is provided to allow convolution of simulated time-resolved populations with a gaussian IRF.
API¶
-
toolkit.
convolve_irf
(y, fwhm, shift_max_to_zero=False, normalise=False)¶ Perform a convolution with a gaussian IRF.
- Parameters
t (numpy.ndarray) – 1D array containing the original time points.
y (numpy.ndarray) – 1D array to convolve with the IRF.
fwhm (float) – Full width half maximum of the IRF in same time units as t.
shift_max_to_zero (bool) – If True, the result will be shifted such that it is maximal at t = 0. The default is False.
normalise (bool) – If True, the result will be normalised to its maximum value. The default is False.
- Returns
t_irf (numpy.ndarray) – The new time points.
y_irf (numpy.ndarray) – The convolved array.


If you haven’t already heard the news HF20 changed the way new Steem accounts will be created. First it removed the traditional route of creating an account with at least .5 STEEM and a delegation. If your account was created through Steemit.com then this is how it was likely created. This route was replaced with a new creation method that will enable the creation of new users at a scale that was not possible before.
Discounted Account Tokens
This new method utilizes a new blockchain tool called Discounted Account Tokens. Each of these tokens can be redeemed to create a new Steem account without any STEEM cost to the creator. The only charge is against your rechargeable resource credits. This means anyone with enough resource credits to pay the fee can start storing account tokens to help on-board their friends and acquaintances in the future!
This doesn’t mean that anyone can start claiming these discounted accounts though. In fact it requires a decent amount of RC to do so. At a bit over 5MM RC it’s really only feasible for accounts with at least 3,000 SP. It also took a bit of python knowledge until recently but now that new tools are rolling out that last part is changing.
How To Claim Your Discounted Accounts
I recently just found out, thanks to @abh12345’s excellent post, that SteemConnect has enabled the ability to claim discounted account tokens. The process is pretty simple but again you’ll want to make sure that you have at least 6MM RC available so that you’ll have enough to claim plus still have enough resource credits to use Steem afterwards.
1.) Copy “https://steemconnect.com/sign/claim_account?creator=YOURUSERNAME&fee=0.000%20STEEM&extensions=[]“ without including the “”.
2.) Replace YOURUSERNAME from the URL above with your Steem username.
3.) Sign the SteemConnect transaction with your active key.
As long as you have enough RC to cover the transaction it will process and you will be the new owner of a pending claimed account. This means that you can now register a new Steem account for no charge at all and just pay with your claimed account token. To verify just visit https://steemd.com/@YOURUSERNAME with YOURUSERNAME replaced by your Steem account. Then look along the left side for the heading “Pending claimed accounts” to see how many account tokens you have access to.
Claiming Your Reserved Account
To my knowledge there’s currently no extremely user friendly tool to redeem your discounted account. That being said you can always claim using @holger80’s beem tool with these instructions. Note: you’ll need to have python installed on your machine to utilize this tool. That being said I imagine the SteemConnect Account Creation Tool will be updated with time to support this function as well. I will try to remember to update this post once I see that updated.
This page is synchronized from the post: ‘Preparing to Claim Future Accounts with Discounted Account Tokens’


Snookes1516.github.io
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| JIRA | Summary | Priority | Component | Reporter | Contributor |
|---|---|---|---|---|---|
| YARN-7190 | Ensure only NM classpath in 2.x gets TSv2 related hbase jars, not the user classpath | Major | timelineclient, timelinereader, timelineserver | Vrushali C | Varun Saxena |
| HDFS-13099 | RBF: Use the ZooKeeper as the default State Store | Minor | documentation | Yiqun Lin | Yiqun Lin |
| JIRA | Summary | Priority | Component | Reporter | Contributor |
|---|---|---|---|---|---|
| HDFS-13283 | Percentage based Reserved Space Calculation for DataNode | Major | datanode, hdfs | Lukas Majercak | Lukas Majercak |
| JIRA | Summary | Priority | Component | Reporter | Contributor |
|---|---|---|---|---|---|
| HDFS-12455 | WebHDFS - Adding “snapshot enabled” status to ListStatus query result. | Major | snapshots, webhdfs | Ajay Kumar | Ajay Kumar |
| HDFS-13062 | Provide support for JN to use separate journal disk per namespace | Major | federation, journal-node | Bharat Viswanadham | Bharat Viswanadham |
| HDFS-12933 | Improve logging when DFSStripedOutputStream failed to write some blocks | Minor | erasure-coding | Xiao Chen | chencan |
| HADOOP-13972 | ADLS to support per-store configuration | Major | fs/adl | John Zhuge | Sharad Sonker |
| YARN-7813 | Capacity Scheduler Intra-queue Preemption should be configurable for each queue | Major | capacity scheduler, scheduler preemption | Eric Payne | Eric Payne |
| HDFS-13175 | Add more information for checking argument in DiskBalancerVolume | Minor | diskbalancer | Lei (Eddy) Xu | Lei (Eddy) Xu |
| HDFS-11187 | Optimize disk access for last partial chunk checksum of Finalized replica | Major | datanode | Wei-Chiu Chuang | Gabor Bota |
| MAPREDUCE-7061 | SingleCluster setup document needs to be updated | Major | . | Bharat Viswanadham | Bharat Viswanadham |
| HADOOP-15263 | hadoop cloud-storage module to mark hadoop-common as provided; add azure-datalake | Minor | build | Steve Loughran | Steve Loughran |
| MAPREDUCE-7060 | Cherry Pick PathOutputCommitter class/factory to branch-3.0 | Minor | . | Steve Loughran | Steve Loughran |
| HADOOP-15279 | increase maven heap size recommendations | Minor | build, documentation, test | Allen Wittenauer | Allen Wittenauer |
| HDFS-13170 | Port webhdfs unmaskedpermission parameter to HTTPFS | Major | . | Stephen O’Donnell | Stephen O’Donnell |
| HDFS-13225 | StripeReader#checkMissingBlocks() ’s IOException info is incomplete | Major | erasure-coding, hdfs-client | lufei | lufei |
| HDFS-11394 | Support for getting erasure coding policy through WebHDFS#FileStatus | Major | erasure-coding, namenode | Kai Sasaki | Kai Sasaki |
| HADOOP-15311 | HttpServer2 needs a way to configure the acceptor/selector count | Major | common | Erik Krogen | Erik Krogen |
| HDFS-11600 | Refactor TestDFSStripedOutputStreamWithFailure test classes | Minor | erasure-coding, test | Andrew Wang | Sammi Chen |
| HDFS-12884 | BlockUnderConstructionFeature.truncateBlock should be of type BlockInfo | Major | namenode | Konstantin Shvachko | chencan |
| HADOOP-15334 | Upgrade Maven surefire plugin | Major | build | Arpit Agarwal | Arpit Agarwal |
| HADOOP-15312 | Undocumented KeyProvider configuration keys | Major | . | Wei-Chiu Chuang | LiXin Ge |
| YARN-7623 | Fix the CapacityScheduler Queue configuration documentation | Major | . | Arun Suresh | Jonathan Hung |
| HDFS-13314 | NameNode should optionally exit if it detects FsImage corruption | Major | namenode | Arpit Agarwal | Arpit Agarwal |
| HADOOP-15342 | Update ADLS connector to use the current SDK version (2.2.7) | Major | fs/adl | Atul Sikaria | Atul Sikaria |
| HDFS-13462 | Add BIND_HOST configuration for JournalNode’s HTTP and RPC Servers | Major | hdfs, journal-node | Lukas Majercak | Lukas Majercak |
| HADOOP-14841 | Kms client should disconnect if unable to get output stream from connection. | Major | kms | Xiao Chen | Rushabh S Shah |
| HDFS-12981 | renameSnapshot a Non-Existent snapshot to itself should throw error | Minor | hdfs | Sailesh Patel | Kitti Nanasi |
| YARN-8201 | Skip stacktrace of few exception from ClientRMService | Minor | . | Bibin A Chundatt | Bilwa S T |
| HADOOP-15441 | Log kms url and token service at debug level. | Minor | . | Wei-Chiu Chuang | Gabor Bota |
| HDFS-13544 | Improve logging for JournalNode in federated cluster | Major | federation, hdfs | Hanisha Koneru | Hanisha Koneru |
| HADOOP-15486 | Make NetworkTopology#netLock fair | Major | net | Nanda kumar | Nanda kumar |
| HDFS-13493 | Reduce the HttpServer2 thread count on DataNodes | Major | datanode | Erik Krogen | Erik Krogen |
| HADOOP-15449 | Increase default timeout of ZK session to avoid frequent NameNode failover | Critical | common | Karthik Palanisamy | Karthik Palanisamy |
| JIRA | Summary | Priority | Component | Reporter | Contributor |
|---|---|---|---|---|---|
| HDFS-11968 | ViewFS: StoragePolicies commands fail with HDFS federation | Major | hdfs | Mukul Kumar Singh | Mukul Kumar Singh |
| HDFS-12813 | RequestHedgingProxyProvider can hide Exception thrown from the Namenode for proxy size of 1 | Major | ha | Mukul Kumar Singh | Mukul Kumar Singh |
| HDFS-13048 | LowRedundancyReplicatedBlocks metric can be negative | Major | metrics | Akira Ajisaka | Akira Ajisaka |
| HDFS-13115 | In getNumUnderConstructionBlocks(), ignore the inodeIds for which the inodes have been deleted | Major | . | Yongjun Zhang | Yongjun Zhang |
| HDFS-10453 | ReplicationMonitor thread could stuck for long time due to the race between replication and delete of same file in a large cluster. | Major | namenode | He Xiaoqiao | He Xiaoqiao |
| MAPREDUCE-7053 | Timed out tasks can fail to produce thread dump | Major | . | Jason Lowe | Jason Lowe |
| HADOOP-15206 | BZip2 drops and duplicates records when input split size is small | Major | . | Aki Tanaka | Aki Tanaka |
| YARN-7937 | Fix http method name in Cluster Application Timeout Update API example request | Minor | docs, documentation | Charan Hebri | Charan Hebri |
| YARN-7947 | Capacity Scheduler intra-queue preemption can NPE for non-schedulable apps | Major | capacity scheduler, scheduler preemption | Eric Payne | Eric Payne |
| HADOOP-10571 | Use Log.*(Object, Throwable) overload to log exceptions | Major | . | Arpit Agarwal | Andras Bokor |
| HDFS-12781 | After Datanode down, In Namenode UI Datanode tab is throwing warning message. | Major | datanode | Harshakiran Reddy | Brahma Reddy Battula |
| HDFS-12070 | Failed block recovery leaves files open indefinitely and at risk for data loss | Major | . | Daryn Sharp | Kihwal Lee |
| HDFS-13145 | SBN crash when transition to ANN with in-progress edit tailing enabled | Major | ha, namenode | Chao Sun | Chao Sun |
| HDFS-13114 | CryptoAdmin#ReencryptZoneCommand should resolve Namespace info from path | Major | encryption, hdfs | Hanisha Koneru | Hanisha Koneru |
| HDFS-13081 | Datanode#checkSecureConfig should allow SASL and privileged HTTP | Major | datanode, security | Xiaoyu Yao | Ajay Kumar |
| MAPREDUCE-7059 | Downward Compatibility issue: MR job fails because of unknown setErasureCodingPolicy method from 3.x client to HDFS 2.x cluster | Critical | job submission | Jiandan Yang | Jiandan Yang |
| HADOOP-15275 | Incorrect javadoc for return type of RetryPolicy#shouldRetry | Minor | documentation | Nanda kumar | Nanda kumar |
| YARN-7511 | NPE in ContainerLocalizer when localization failed for running container | Major | nodemanager | Tao Yang | Tao Yang |
| MAPREDUCE-7023 | TestHadoopArchiveLogs.testCheckFilesAndSeedApps fails on rerun | Minor | test | Gergely Novák | Gergely Novák |
| HDFS-13040 | Kerberized inotify client fails despite kinit properly | Major | namenode | Wei-Chiu Chuang | Xiao Chen |
| YARN-7736 | Fix itemization in YARN federation document | Minor | documentation | Akira Ajisaka | Sen Zhao |
| HDFS-13164 | File not closed if streamer fail with DSQuotaExceededException | Major | hdfs-client | Xiao Chen | Xiao Chen |
| HADOOP-15289 | FileStatus.readFields() assertion incorrect | Critical | . | Steve Loughran | Steve Loughran |
| HDFS-13109 | Support fully qualified hdfs path in EZ commands | Major | hdfs | Hanisha Koneru | Hanisha Koneru |
| HADOOP-15296 | Fix a wrong link for RBF in the top page | Minor | documentation | Takanobu Asanuma | Takanobu Asanuma |
| HADOOP-15273 | distcp can’t handle remote stores with different checksum algorithms | Critical | tools/distcp | Steve Loughran | Steve Loughran |
| MAPREDUCE-6930 | mapreduce.map.cpu.vcores and mapreduce.reduce.cpu.vcores are both present twice in mapred-default.xml | Major | mrv2 | Daniel Templeton | Sen Zhao |
| HDFS-13190 | Document WebHDFS support for snapshot diff | Major | documentation, webhdfs | Xiaoyu Yao | Lokesh Jain |
| HDFS-13244 | Add stack, conf, metrics links to utilities dropdown in NN webUI | Major | . | Bharat Viswanadham | Bharat Viswanadham |
| HDFS-12156 | TestFSImage fails without -Pnative | Major | test | Akira Ajisaka | Akira Ajisaka |
| HDFS-13239 | Fix non-empty dir warning message when setting default EC policy | Minor | . | Hanisha Koneru | Bharat Viswanadham |
| YARN-8022 | ResourceManager UI cluster/app/<app-id> page fails to render | Blocker | webapp | Tarun Parimi | Tarun Parimi |
| MAPREDUCE-7064 | Flaky test TestTaskAttempt#testReducerCustomResourceTypes | Major | client, test | Peter Bacsko | Peter Bacsko |
| HDFS-12723 | TestReadStripedFileWithMissingBlocks#testReadFileWithMissingBlocks failing consistently. | Major | . | Rushabh S Shah | Ajay Kumar |
| YARN-7636 | Re-reservation count may overflow when cluster resource exhausted for a long time | Major | capacityscheduler | Tao Yang | Tao Yang |
| HDFS-12886 | Ignore minReplication for block recovery | Major | hdfs, namenode | Lukas Majercak | Lukas Majercak |
| HDFS-13296 | GenericTestUtils generates paths with drive letter in Windows and fail webhdfs related test cases | Major | . | Xiao Liang | Xiao Liang |
| HDFS-13268 | TestWebHdfsFileContextMainOperations fails on Windows | Major | . | Íñigo Goiri | Xiao Liang |
| YARN-8054 | Improve robustness of the LocalDirsHandlerService MonitoringTimerTask thread | Major | . | Jonathan Eagles | Jonathan Eagles |
| HDFS-13195 | DataNode conf page cannot display the current value after reconfig | Minor | datanode | maobaolong | maobaolong |
| YARN-8063 | DistributedShellTimelinePlugin wrongly check for entityId instead of entityType | Major | . | Rohith Sharma K S | Rohith Sharma K S |
| YARN-8062 | yarn rmadmin -getGroups returns group from which the user has been removed | Critical | . | Sumana Sathish | Sunil Govindan |
| YARN-8068 | Application Priority field causes NPE in app timeline publish when Hadoop 2.7 based clients to 2.8+ | Blocker | yarn | Sunil Govindan | Sunil Govindan |
| YARN-7734 | YARN-5418 breaks TestContainerLogsPage.testContainerLogPageAccess | Major | . | Miklos Szegedi | Tao Yang |
| HDFS-13087 | Snapshotted encryption zone information should be immutable | Major | encryption | LiXin Ge | LiXin Ge |
| HADOOP-12862 | LDAP Group Mapping over SSL can not specify trust store | Major | . | Wei-Chiu Chuang | Wei-Chiu Chuang |
| HDFS-13349 | Unresolved merge conflict in ViewFs.md | Blocker | documentation | Gera Shegalov | Yiqun Lin |
| HADOOP-15317 | Improve NetworkTopology chooseRandom’s loop | Major | . | Xiao Chen | Xiao Chen |
| HADOOP-15355 | TestCommonConfigurationFields is broken by HADOOP-15312 | Major | test | Konstantin Shvachko | LiXin Ge |
| HDFS-13350 | Negative legacy block ID will confuse Erasure Coding to be considered as striped block | Major | erasure-coding | Lei (Eddy) Xu | Lei (Eddy) Xu |
| YARN-7905 | Parent directory permission incorrect during public localization | Critical | . | Bibin A Chundatt | Bilwa S T |
| HDFS-13420 | License header is displayed in ArchivalStorage/MemoryStorage html pages | Minor | documentation | Akira Ajisaka | Akira Ajisaka |
| HDFS-13328 | Abstract ReencryptionHandler recursive logic in separate class. | Major | namenode | Surendra Singh Lilhore | Surendra Singh Lilhore |
| HADOOP-15357 | Configuration.getPropsWithPrefix no longer does variable substitution | Major | . | Jim Brennan | Jim Brennan |
| MAPREDUCE-7062 | Update mapreduce.job.tags description for making use for ATSv2 purpose. | Major | . | Charan Hebri | Charan Hebri |
| YARN-8073 | TimelineClientImpl doesn’t honor yarn.timeline-service.versions configuration | Major | . | Rohith Sharma K S | Rohith Sharma K S |
| HDFS-13427 | Fix the section titles of transparent encryption document | Minor | documentation | Akira Ajisaka | Akira Ajisaka |
| YARN-7527 | Over-allocate node resource in async-scheduling mode of CapacityScheduler | Major | capacityscheduler | Tao Yang | Tao Yang |
| YARN-8120 | JVM can crash with SIGSEGV when exiting due to custom leveldb logger | Major | nodemanager, resourcemanager | Jason Lowe | Jason Lowe |
| YARN-8147 | TestClientRMService#testGetApplications sporadically fails | Major | test | Jason Lowe | Jason Lowe |
| HDFS-13436 | Fix javadoc of package-info.java | Major | documentation | Akira Ajisaka | Akira Ajisaka |
| HADOOP-14970 | MiniHadoopClusterManager doesn’t respect lack of format option | Minor | . | Erik Krogen | Erik Krogen |
| HDFS-13330 | ShortCircuitCache#fetchOrCreate never retries | Major | . | Wei-Chiu Chuang | Gabor Bota |
| YARN-8156 | Increase the default value of yarn.timeline-service.app-collector.linger-period.ms | Major | . | Rohith Sharma K S | Charan Hebri |
| YARN-8165 | Incorrect queue name logging in AbstractContainerAllocator | Trivial | capacityscheduler | Weiwei Yang | Weiwei Yang |
| HDFS-12828 | OIV ReverseXML Processor fails with escaped characters | Critical | hdfs | Erik Krogen | Erik Krogen |
| HADOOP-15396 | Some java source files are executable | Minor | . | Akira Ajisaka | Shashikant Banerjee |
| YARN-6827 | [ATS1/1.5] NPE exception while publishing recovering applications into ATS during RM restart. | Major | resourcemanager | Rohith Sharma K S | Rohith Sharma K S |
| YARN-7786 | NullPointerException while launching ApplicationMaster | Major | . | lujie | lujie |
| HDFS-10183 | Prevent race condition during class initialization | Minor | fs | Pavel Avgustinov | Pavel Avgustinov |
| HDFS-13388 | RequestHedgingProxyProvider calls multiple configured NNs all the time | Major | hdfs-client | Jinglun | Jinglun |
| HDFS-13433 | webhdfs requests can be routed incorrectly in federated cluster | Critical | webhdfs | Arpit Agarwal | Arpit Agarwal |
| HDFS-13408 | MiniDFSCluster to support being built on randomized base directory | Major | test | Xiao Liang | Xiao Liang |
| HADOOP-15390 | Yarn RM logs flooded by DelegationTokenRenewer trying to renew KMS tokens | Critical | . | Xiao Chen | Xiao Chen |
| HDFS-13336 | Test cases of TestWriteToReplica failed in windows | Major | . | Xiao Liang | Xiao Liang |
| YARN-7598 | Document how to use classpath isolation for aux-services in YARN | Major | . | Xuan Gong | Xuan Gong |
| YARN-8183 | Fix ConcurrentModificationException inside RMAppAttemptMetrics#convertAtomicLongMaptoLongMap | Critical | yarn | Sumana Sathish | Suma Shivaprasad |
| HADOOP-15411 | AuthenticationFilter should use Configuration.getPropsWithPrefix instead of iterator | Critical | . | Suma Shivaprasad | Suma Shivaprasad |
| MAPREDUCE-7042 | Killed MR job data does not move to mapreduce.jobhistory.done-dir when ATS v2 is enabled | Major | . | Yesha Vora | Xuan Gong |
| YARN-8205 | Application State is not updated to ATS if AM launching is delayed. | Critical | . | Sumana Sathish | Rohith Sharma K S |
| YARN-8004 | Add unit tests for inter queue preemption for dominant resource calculator | Critical | yarn | Sumana Sathish | Zian Chen |
| YARN-8221 | RMWebServices also need to honor yarn.resourcemanager.display.per-user-apps | Major | webapp | Sunil Govindan | Sunil Govindan |
| YARN-8210 | AMRMClient logging on every heartbeat to track updation of AM RM token causes too many log lines to be generated in AM logs | Major | yarn | Suma Shivaprasad | Suma Shivaprasad |
| HDFS-13509 | Bug fix for breakHardlinks() of ReplicaInfo/LocalReplica, and fix TestFileAppend failures on Windows | Major | . | Xiao Liang | Xiao Liang |
| MAPREDUCE-7073 | Optimize TokenCache#obtainTokensForNamenodesInternal | Major | . | Bibin A Chundatt | Bibin A Chundatt |
| HADOOP-15406 | hadoop-nfs dependencies for mockito and junit are not test scope | Major | nfs | Jason Lowe | Jason Lowe |
| YARN-6385 | Fix checkstyle warnings in TestFileSystemApplicationHistoryStore | Minor | . | Yiqun Lin | Yiqun Lin |
| YARN-8222 | Fix potential NPE when gets RMApp from RM context | Critical | . | Tao Yang | Tao Yang |
| HDFS-13481 | TestRollingFileSystemSinkWithHdfs#testFlushThread: test failed intermittently | Major | hdfs | Gabor Bota | Gabor Bota |
| YARN-8217 | RmAuthenticationFilterInitializer /TimelineAuthenticationFilterInitializer should use Configuration.getPropsWithPrefix instead of iterator | Major | . | Suma Shivaprasad | Suma Shivaprasad |
| YARN-8025 | UsersManangers#getComputedResourceLimitForActiveUsers throws NPE due to preComputedActiveUserLimit is empty | Major | yarn | Jiandan Yang | Tao Yang |
| YARN-8232 | RMContainer lost queue name when RM HA happens | Major | resourcemanager | Hu Ziqian | Hu Ziqian |
| HDFS-13136 | Avoid taking FSN lock while doing group member lookup for FSD permission check | Major | namenode | Xiaoyu Yao | Xiaoyu Yao |
| HDFS-13537 | TestHdfsHelper does not generate jceks path properly for relative path in Windows | Major | . | Xiao Liang | Xiao Liang |
| YARN-7003 | DRAINING state of queues is not recovered after RM restart | Major | capacityscheduler | Tao Yang | Tao Yang |
| YARN-8244 | TestContainerSchedulerQueuing.testStartMultipleContainers failed | Major | . | Miklos Szegedi | Jim Brennan |
| YARN-8288 | Fix wrong number of table columns in Resource Model doc | Major | . | Weiwei Yang | Weiwei Yang |
| HDFS-13539 | DFSStripedInputStream NPE when reportCheckSumFailure | Major | . | Xiao Chen | Xiao Chen |
| YARN-8278 | DistributedScheduling is not working in HA | Blocker | . | Bibin A Chundatt | Bibin A Chundatt |
| HDFS-13581 | DN UI logs link is broken when https is enabled | Minor | datanode | Namit Maheshwari | Shashikant Banerjee |
| HDFS-13586 | Fsync fails on directories on Windows | Critical | datanode, hdfs | Lukas Majercak | Lukas Majercak |
| YARN-8179 | Preemption does not happen due to natural_termination_factor when DRF is used | Major | . | kyungwan nam | kyungwan nam |
| HADOOP-15450 | Avoid fsync storm triggered by DiskChecker and handle disk full situation | Blocker | . | Kihwal Lee | Arpit Agarwal |
| HDFS-13601 | Optimize ByteString conversions in PBHelper | Major | . | Andrew Wang | Andrew Wang |
| HDFS-13540 | DFSStripedInputStream should only allocate new buffers when reading | Major | . | Xiao Chen | Xiao Chen |
| HDFS-13588 | Fix TestFsDatasetImpl test failures on Windows | Major | . | Xiao Liang | Xiao Liang |
| YARN-8310 | Handle old NMTokenIdentifier, AMRMTokenIdentifier, and ContainerTokenIdentifier formats | Major | . | Robert Kanter | Robert Kanter |
| YARN-8344 | Missing nm.stop() in TestNodeManagerResync to fix testKillContainersOnResync | Major | . | Giovanni Matteo Fumarola | Giovanni Matteo Fumarola |
| YARN-8327 | Fix TestAggregatedLogFormat#testReadAcontainerLogs1 on Windows | Major | log-aggregation | Giovanni Matteo Fumarola | Giovanni Matteo Fumarola |
| YARN-8346 | Upgrading to 3.1 kills running containers with error “Opportunistic container queue is full” | Blocker | . | Rohith Sharma K S | Jason Lowe |
| HDFS-13611 | Unsafe use of Text as a ConcurrentHashMap key in PBHelperClient | Major | . | Andrew Wang | Andrew Wang |
| HDFS-13618 | Fix TestDataNodeFaultInjector test failures on Windows | Major | test | Xiao Liang | Xiao Liang |
| HADOOP-15473 | Configure serialFilter in KeyProvider to avoid UnrecoverableKeyException caused by JDK-8189997 | Critical | kms | Gabor Bota | Gabor Bota |
| YARN-8338 | TimelineService V1.5 doesn’t come up after HADOOP-15406 | Critical | . | Vinod Kumar Vavilapalli | Vinod Kumar Vavilapalli |
| HADOOP-9747 | Reduce unnecessary UGI synchronization | Critical | security | Daryn Sharp | Daryn Sharp |
| YARN-8518 | test-container-executor test_is_empty() is broken | Major | . | Jim Brennan | Jim Brennan |
| JIRA | Summary | Priority | Component | Reporter | Contributor |
|---|---|---|---|---|---|
| HADOOP-15313 | TestKMS should close providers | Major | kms, test | Xiao Chen | Xiao Chen |
| HDFS-13503 | Fix TestFsck test failures on Windows | Major | hdfs | Xiao Liang | Xiao Liang |
| HDFS-13542 | TestBlockManager#testNeededReplicationWhileAppending fails due to improper cluster shutdown in TestBlockManager#testBlockManagerMachinesArray on Windows | Minor | . | Anbang Hu | Anbang Hu |
| HDFS-13551 | TestMiniDFSCluster#testClusterSetStorageCapacity does not shut down cluster | Minor | . | Anbang Hu | Anbang Hu |
| HDFS-11700 | TestHDFSServerPorts#testBackupNodePorts doesn’t pass on Windows | Minor | . | Anbang Hu | Anbang Hu |
| HDFS-13548 | TestResolveHdfsSymlink#testFcResolveAfs fails on Windows | Minor | . | Anbang Hu | Anbang Hu |
| HDFS-13567 | TestNameNodeMetrics#testGenerateEDEKTime,TestNameNodeMetrics#testResourceCheck should use a different cluster basedir | Minor | . | Anbang Hu | Anbang Hu |
| HDFS-13557 | TestDFSAdmin#testListOpenFiles fails on Windows | Minor | . | Anbang Hu | Anbang Hu |
| HDFS-13550 | TestDebugAdmin#testComputeMetaCommand fails on Windows | Minor | . | Anbang Hu | Anbang Hu |
| HDFS-13559 | TestBlockScanner does not close TestContext properly | Minor | . | Anbang Hu | Anbang Hu |
| HDFS-13570 | TestQuotaByStorageType,TestQuota,TestDFSOutputStream fail on Windows | Minor | . | Anbang Hu | Anbang Hu |
| HDFS-13558 | TestDatanodeHttpXFrame does not shut down cluster | Minor | . | Anbang Hu | Anbang Hu |
| HDFS-13554 | TestDatanodeRegistration#testForcedRegistration does not shut down cluster | Minor | . | Anbang Hu | Anbang Hu |
| HDFS-13556 | TestNestedEncryptionZones does not shut down cluster | Minor | . | Anbang Hu | Anbang Hu |
| HDFS-13560 | Insufficient system resources exist to complete the requested service for some tests on Windows | Minor | . | Anbang Hu | Anbang Hu |
| HDFS-13592 | TestNameNodePrunesMissingStorages#testNameNodePrunesUnreportedStorages does not shut down cluster properly | Minor | . | Anbang Hu | Anbang Hu |
| HDFS-13593 | TestBlockReaderLocalLegacy#testBlockReaderLocalLegacyWithAppend fails on Windows | Minor | test | Anbang Hu | Anbang Hu |
| HDFS-13587 | TestQuorumJournalManager fails on Windows | Minor | . | Anbang Hu | Anbang Hu |
| HDFS-13619 | TestAuditLoggerWithCommands fails on Windows | Minor | test | Anbang Hu | Anbang Hu |
| HDFS-13620 | Randomize the test directory path for TestHDFSFileSystemContract | Minor | . | Anbang Hu | Anbang Hu |
| HDFS-13591 | TestDFSShell#testSetrepLow fails on Windows | Minor | . | Anbang Hu | Anbang Hu |
| JIRA | Summary | Priority | Component | Reporter | Contributor |
|---|---|---|---|---|---|
| HDFS-13068 | RBF: Add router admin option to manage safe mode | Major | . | Íñigo Goiri | Yiqun Lin |
| HADOOP-15040 | Upgrade AWS SDK to 1.11.271: NPE bug spams logs w/ Yarn Log Aggregation | Blocker | fs/s3 | Aaron Fabbri | Aaron Fabbri |
| HDFS-13119 | RBF: Manage unavailable clusters | Major | . | Íñigo Goiri | Yiqun Lin |
| HADOOP-15247 | Move commons-net up to 3.6 | Minor | fs | Steve Loughran | Steve Loughran |
| HDFS-13187 | RBF: Fix Routers information shown in the web UI | Minor | . | Wei Yan | Wei Yan |
| HDFS-13184 | RBF: Improve the unit test TestRouterRPCClientRetries | Minor | test | Yiqun Lin | Yiqun Lin |
| HDFS-13199 | RBF: Fix the hdfs router page missing label icon issue | Major | federation, hdfs | maobaolong | maobaolong |
| HADOOP-15264 | AWS “shaded” SDK 1.11.271 is pulling in netty 4.1.17 | Blocker | fs/s3 | Steve Loughran | Steve Loughran |
| HADOOP-15090 | Add ADL troubleshooting doc | Major | documentation, fs/adl | Steve Loughran | Steve Loughran |
| HDFS-13214 | RBF: Complete document of Router configuration | Major | . | Tao Jie | Yiqun Lin |
| HADOOP-15267 | S3A multipart upload fails when SSE-C encryption is enabled | Critical | fs/s3 | Anis Elleuch | Anis Elleuch |
| HDFS-13230 | RBF: ConnectionManager’s cleanup task will compare each pool’s own active conns with its total conns | Minor | . | Wei Yan | Chao Sun |
| HDFS-13233 | RBF: MountTableResolver doesn’t return the correct mount point of the given path | Major | hdfs | wangzhiyuan | wangzhiyuan |
| HADOOP-15277 | remove .FluentPropertyBeanIntrospector from CLI operation log output | Minor | conf | Steve Loughran | Steve Loughran |
| HDFS-13212 | RBF: Fix router location cache issue | Major | federation, hdfs | Weiwei Wu | Weiwei Wu |
| HDFS-13232 | RBF: ConnectionPool should return first usable connection | Minor | . | Wei Yan | Ekanth Sethuramalingam |
| HDFS-13240 | RBF: Update some inaccurate document descriptions | Minor | . | Yiqun Lin | Yiqun Lin |
| HDFS-11399 | Many tests fails in Windows due to injecting disk failures | Major | . | Yiqun Lin | Yiqun Lin |
| HDFS-13241 | RBF: TestRouterSafemode failed if the port 8888 is in use | Major | hdfs, test | maobaolong | maobaolong |
| HDFS-13253 | RBF: Quota management incorrect parent-child relationship judgement | Major | . | Yiqun Lin | Yiqun Lin |
| HDFS-13226 | RBF: Throw the exception if mount table entry validated failed | Major | hdfs | maobaolong | maobaolong |
| HDFS-12505 | Extend TestFileStatusWithECPolicy with a random EC policy | Major | erasure-coding, test | Takanobu Asanuma | Takanobu Asanuma |
| HDFS-12587 | Use Parameterized tests in TestBlockInfoStriped and TestLowRedundancyBlockQueues to test all EC policies | Major | erasure-coding, test | Takanobu Asanuma | Takanobu Asanuma |
| HADOOP-15308 | TestConfiguration fails on Windows because of paths | Major | test | Íñigo Goiri | Xiao Liang |
| HDFS-12773 | RBF: Improve State Store FS implementation | Major | . | Íñigo Goiri | Íñigo Goiri |
| HDFS-13198 | RBF: RouterHeartbeatService throws out CachedStateStore related exceptions when starting router | Minor | . | Wei Yan | Wei Yan |
| HDFS-13224 | RBF: Resolvers to support mount points across multiple subclusters | Major | . | Íñigo Goiri | Íñigo Goiri |
| HADOOP-15262 | AliyunOSS: move files under a directory in parallel when rename a directory | Major | fs/oss | wujinhu | wujinhu |
| HDFS-13215 | RBF: Move Router to its own module | Major | . | Íñigo Goiri | Wei Yan |
| HDFS-13250 | RBF: Router to manage requests across multiple subclusters | Major | . | Íñigo Goiri | Íñigo Goiri |
| HDFS-13318 | RBF: Fix FindBugs in hadoop-hdfs-rbf | Minor | . | Íñigo Goiri | Ekanth Sethuramalingam |
| HDFS-12792 | RBF: Test Router-based federation using HDFSContract | Major | . | Íñigo Goiri | Íñigo Goiri |
| YARN-7986 | ATSv2 REST API queries do not return results for uppercase application tags | Critical | . | Charan Hebri | Charan Hebri |
| HDFS-12512 | RBF: Add WebHDFS | Major | fs | Íñigo Goiri | Wei Yan |
| HDFS-13291 | RBF: Implement available space based OrderResolver | Major | . | Yiqun Lin | Yiqun Lin |
| HDFS-13204 | RBF: Optimize name service safe mode icon | Minor | . | liuhongtong | liuhongtong |
| HDFS-13352 | RBF: Add xsl stylesheet for hdfs-rbf-default.xml | Major | documentation | Takanobu Asanuma | Takanobu Asanuma |
| HDFS-13347 | RBF: Cache datanode reports | Minor | . | Íñigo Goiri | Íñigo Goiri |
| HDFS-13289 | RBF: TestConnectionManager#testCleanup() test case need correction | Minor | . | Dibyendu Karmakar | Dibyendu Karmakar |
| HDFS-13364 | RBF: Support NamenodeProtocol in the Router | Major | . | Íñigo Goiri | Íñigo Goiri |
| HADOOP-14651 | Update okhttp version to 2.7.5 | Major | fs/adl | Ray Chiang | Ray Chiang |
| YARN-6936 | [Atsv2] Retrospect storing entities into sub application table from client perspective | Major | . | Rohith Sharma K S | Rohith Sharma K S |
| HDFS-13353 | RBF: TestRouterWebHDFSContractCreate failed | Major | test | Takanobu Asanuma | Takanobu Asanuma |
| YARN-8107 | Give an informative message when incorrect format is used in ATSv2 filter attributes | Major | ATSv2 | Charan Hebri | Rohith Sharma K S |
| HDFS-13402 | RBF: Fix java doc for StateStoreFileSystemImpl | Minor | hdfs | Yiran Wu | Yiran Wu |
| HDFS-13410 | RBF: Support federation with no subclusters | Minor | . | Íñigo Goiri | Íñigo Goiri |
| HDFS-13384 | RBF: Improve timeout RPC call mechanism | Minor | . | Íñigo Goiri | Íñigo Goiri |
| HDFS-13045 | RBF: Improve error message returned from subcluster | Minor | . | Wei Yan | Íñigo Goiri |
| HDFS-13428 | RBF: Remove LinkedList From StateStoreFileImpl.java | Trivial | federation | BELUGA BEHR | BELUGA BEHR |
| HDFS-13386 | RBF: Wrong date information in list file(-ls) result | Minor | . | Dibyendu Karmakar | Dibyendu Karmakar |
| YARN-8027 | Setting hostname of docker container breaks for –net=host in docker 1.13 | Major | yarn | Jim Brennan | Jim Brennan |
| HADOOP-14999 | AliyunOSS: provide one asynchronous multi-part based uploading mechanism | Major | fs/oss | Genmao Yu | Genmao Yu |
| YARN-7810 | TestDockerContainerRuntime test failures due to UID lookup of a non-existent user | Major | . | Shane Kumpf | Shane Kumpf |
| HDFS-13435 | RBF: Improve the error loggings for printing the stack trace | Major | . | Yiqun Lin | Yiqun Lin |
| YARN-7189 | Container-executor doesn’t remove Docker containers that error out early | Major | yarn | Eric Badger | Eric Badger |
| HDFS-13466 | RBF: Add more router-related information to the UI | Minor | . | Wei Yan | Wei Yan |
| HDFS-13453 | RBF: getMountPointDates should fetch latest subdir time/date when parent dir is not present but /parent/child dirs are present in mount table | Major | . | Dibyendu Karmakar | Dibyendu Karmakar |
| HDFS-13478 | RBF: Disabled Nameservice store API | Major | . | Íñigo Goiri | Íñigo Goiri |
| HDFS-13490 | RBF: Fix setSafeMode in the Router | Major | . | Íñigo Goiri | Íñigo Goiri |
| HDFS-13484 | RBF: Disable Nameservices from the federation | Major | . | Íñigo Goiri | Íñigo Goiri |
| HDFS-13326 | RBF: Improve the interfaces to modify and view mount tables | Minor | . | Wei Yan | Gang Li |
| HDFS-13499 | RBF: Show disabled name services in the UI | Minor | . | Íñigo Goiri | Íñigo Goiri |
| YARN-8215 | ATS v2 returns invalid YARN_CONTAINER_ALLOCATED_HOST_HTTP_ADDRESS from NM | Critical | ATSv2 | Yesha Vora | Rohith Sharma K S |
| HDFS-13508 | RBF: Normalize paths (automatically) when adding, updating, removing or listing mount table entries | Minor | . | Ekanth Sethuramalingam | Ekanth Sethuramalingam |
| HDFS-13434 | RBF: Fix dead links in RBF document | Major | documentation | Akira Ajisaka | Chetna Chaudhari |
| YARN-8212 | Pending backlog for async allocation threads should be configurable | Major | . | Weiwei Yang | Tao Yang |
| HDFS-13488 | RBF: Reject requests when a Router is overloaded | Major | . | Íñigo Goiri | Íñigo Goiri |
| HDFS-13525 | RBF: Add unit test TestStateStoreDisabledNameservice | Major | . | Yiqun Lin | Yiqun Lin |
| YARN-8253 | HTTPS Ats v2 api call fails with “bad HTTP parsed” | Critical | ATSv2 | Yesha Vora | Charan Hebri |
| HADOOP-15454 | TestRollingFileSystemSinkWithLocal fails on Windows | Major | test | Xiao Liang | Xiao Liang |
| YARN-8247 | Incorrect HTTP status code returned by ATSv2 for non-whitelisted users | Critical | ATSv2 | Charan Hebri | Rohith Sharma K S |
| YARN-8130 | Race condition when container events are published for KILLED applications | Major | ATSv2 | Charan Hebri | Rohith Sharma K S |
| HADOOP-15498 | TestHadoopArchiveLogs (#testGenerateScript, #testPrepareWorkingDir) fails on Windows | Minor | . | Anbang Hu | Anbang Hu |
| HADOOP-15497 | TestTrash should use proper test path to avoid failing on Windows | Minor | . | Anbang Hu | Anbang Hu |
| YARN-4781 | Support intra-queue preemption for fairness ordering policy. | Major | scheduler | Wangda Tan | Eric Payne |
| JIRA | Summary | Priority | Component | Reporter | Contributor |
|---|---|---|---|---|---|
| HDFS-13052 | WebHDFS: Add support for snasphot diff | Major | . | Lokesh Jain | Lokesh Jain |
| HADOOP-14742 | Document multi-URI replication Inode for ViewFS | Major | documentation, viewfs | Chris Douglas | Gera Shegalov |


--- title: About subtitle: Created by Toasty the Toaster as part of Hack the Solar System. layout: page ---
This website was created by Toasty the Toaster, a High School programming team from The Dalton School at Hack The Solar System.
Toasty The Toaster consists of William Barkoff, Alex Studer, Claire Wilson, Isha Chirimar, and Ava Mohajer. This website is Open Source and MIT Licensed. Hack The Solar System is the American Museum of Natural History's 5th Annual BridgeUP STEM Hackathon. Toasty the Toaster also participated last year, in Hack The Deep. (See our project last year). This year's challenge, The Women of Space Science, highlights the untold story of a prominent female scientist who has studied physical science, planetary science and astronomy at the Museum.


Adding animation is easy if you know a few key items. First, you add the bitmaps into your HTML file. Then you add Mr. Calvert's index.js file and finish it up by linking your HTML file to js file. It helps to upload index.js file to your repo.
This project retrieves a small amount of JSON from a node server.
Rows in DB: {{presidentsLength}}
{{president.getPresidentName()}}
TermStart: {{president.getTermStart()}}
TermEnd: {{president.getTermEnd()}}


[gecode-users] Diagnosing failures
Malcolm Ryan
malcolmr at cse.unsw.edu.au
Wed Nov 21 00:14:31 CET 2007
On 19/11/2007, at 9:34 PM, Christian Schulte wrote:
> Hi,
>
> To give you an idea, take the following, rather small, examples
> (they are
> included in Gecode).
>
> - Alpha, 21 propagators, 26 variables: 123 919 propagator executions
> - Golomb rulers 10, 55 variables, 46 propagators: 3 482 588
> propagator
> executions
> - Magic squares 7, 49 variables, 19 propagators: 9 596 013 propagator
> executions
I see. Yes, that is a lot.
> So that's quite something. And most of the propagator executions
> are not
> really interesting. While debugging is difficult, and there is
> little known
> how to do it, the level of abstraction of looking at a single
> propagator is
> not really feasible.
Clearly not. But neither do you want to inspect all the machine
operations in a standard program. Some abstraction is necessary. The
S-boxes idea is a good start. Grouping the variables into meaningful
structures (i.e. objects) could also help. And then you have causal
relations between propagator executions, don't you? Ie, propagator X
fired, constraining variable V, which in turn caused propagator Y to
fire. If you could visualise the causation graph at a level of
abstraction, you'd have the beginnings of a useful tool.
> Typically there is a pretty close mapping between a constraint and the
> propagator implementing the constraint. But not always and
> typically not
> after some propagations (propagators typically rewrite themselves).
>
> Gecode 2.0 comes with a reflection layer that in principle allows
> you to get
> to know everything about a space, but I do not know whether this
> will be
> available in Gecode/J. Also, I would doubt that the amount of
> information is
> useful.
>
> But what helps a lot is using Gist as said. It will at least tell
> you the
> results of propagation before branching. Just printing before and
> after
> propagation is also not too bad.
Gist is great for visualising the search, but as you say, there are
many constraint propagation steps between one search step and the next.
> Sorry that I cannot be more helpful than that.
That's okay. I appreciate that it is not a solved problem. I'm just
throwing around some ideas. Maybe I'll try them out myself, if I find
time.
Malcolm
--
"The act of defending any of the cardinal virtues has today all
the exhilaration of a vice."
- G.K.Chesterton A Defense of
Humility
More information about the gecode-users
mailing list


I have a very wide range of interest and enjoy the constant challenge of learning new things. It is important to me to expand my knowledge of popular languages and technologies in hopes of finding new and creative ways to solve problems.
Resolve issues impacting large IBM enterprise clients and solve highly visible and time sensitive issues to provide an exemplary client experience. Produced guides and documentation to improve the team’s ability to onboard new members and reduce time to resolution. Volunteered in the creation of application features in React for researchers another team through design and implementation of a messaging feature to help accelerate researchers’ ability to find new and relevant published research. Lead problem resolution and trouble-shooting to identify issues or bugs through code review and analysis, and worked with developers to provide special build solutions or workarounds to resolve mission critical system failures.
Designed the upgrade of legacy application to be used by client and internal teams to adminitrate new and existing databases. Mapped current legacy system components, identified issues with existing implementation, and observed current work process to identify pain points and areas for improvement.
Assist professor during class with teaching students Python and addressing student concerns. Provide guided assistance and support to students’ technical needs, academic questions, and homework assignments. Maintain regular office hours for students to drop in and discuss assignments, projects, quizzes, and exams.
Mentored and guided students transitioning into Computer Science from unrelated fields through assisting in demonstrations, discussions, class presentations, and individual tutoring.
Assisted in presenting and promoting the Northeastern Align programing to prospective students at events and through other means of communication. Field questions regarding the program and my personal experience. Be a liaison for students needing aid with faculty and staff.
GPA: 3.77/4.0
GPA: 3.4/4.0
GPA: 3.49
Besides developing software, I like to spend much of my free time outside building cars, mountain biking, or just spending time in the sun with my dog Shadow. He is a big part of my day and we both really enjoys our walks. Being in California has the advantage of year round outdoor activities so we like to take advantage as much as possible.
When it's time to come inside, I am an avid basketball player and really enjoy playing music. My primary instruments are Drums and Piano. Some of my favorite composers are Bach, Chopin, Duke Ellington, Herbie Handcock, and more! I also really love building robots so I frequently design and 3D print whatever I need.


RBI imposes ₹1.75 cr. penalty on Indian Bank
by Special CorrespondentRBI imposes ₹1.75 crore penalty on Indian Bank
The RBI has imposed monetary penalty aggregating to ₹1.75 crore on Indian Bank for non-compliance. In a regulatory filing, RBI said the bank failed to comply with its directions on opening of savings bank accounts for a cooperative society, window dressing of the balance sheet as on March 31, 2018, and delayed reporting of frauds.
“There was no delay in reporting fraud, window dressing or non-adherence of directions. Unfortunately, we do not have a tribunal to appeal against it or seek a review,” said a top Indian Bank official.


5 / 0 2 / 2 0 1 4 - R E A F F I R M I N G V A L U E S
Back in week 2, we took a look at a list of values and picked some of them that we felt apply to our goals. I chose Accomplishment, Integrity, Competition, and Persistence. While I like to think that these values apply to my character, at the very least I see these values as a representative of my goals for myself.
Now last week we wrote about stereotype threat, and the problems it presents in the tech world. When it comes to avoiding stereotype threat, the values that apply the most are integrity, competition, and persistence, each in their own way.
Competition can be seen as one of the roots of stereotyping. In order for the best results to be achieved, we need competition, as it brings out the best in all of us. But on the other hand, stereotyping can be used as a defense mechanism when competition gets the better of someone.
Persistence is paramount when it comes to avoiding stereotype threat. If you feel like you're being stereotyped, the best thing you can do is be persistent. It doesn't matter what people think of you, if your results are good enough, people have to take notice.
Integrity is the most important, because it doesn't apply to the person being stereotyped as much as it applies to the person doing the stereotyping. We cannot rely on other people to change ourselves, and if you have any integrity, you should be able to look at yourself objectively and realize if you are stereotyping.


Kamon is a set of tools that helps you to get metrics out of your reactive applications and help you with log tracing.
Be prepared to get metrics of akka and spray applications:
And also ready for sending reports to known tools like New Relic.  For example, if in order to fulfil a GET
request to the /users/kamon
resource, a application sends a message to an actor, which reads the user data from a database and sends a message back with the user information to finish the request, all those interactions would be considered as part of the same trace.
If the application described above were to handle a hundred clients requesting for user's details, there might be a handful of database access actors handling those requests. When the dispatcher gives an actor some time to execute, it will process as many messages as possible (as per dispatcher configuration) before the Thread is taken away from it, but during that time it is incorrect to say that either the actor or the Thread are tied to a trace, because each message might come from a different source which is probably waiting for a different response.
Back in the day tracing used to be simpler: if you use single dedicated Thread
during the execution of a request and everything related to that request happens in that single Thread
, then you could use a ThreadLocal
and store all the valuable information you want about the processing of that request from anywhere in the codebase and flush it all when the request is finished. Sounds easy, right?, hold on that thought, it isn't that easy in the reactive world!
When developing reactive applications on top of Akka the perspective of a trace changes from "thread locali" to "event local" and in order to cope with this Kamon provides the notion of a TraceContext
to group all related events and collect the information we need about them. Once a TraceContext
is created, Kamon will propagate it automatically under specific conditions and once the TraceContext
is finished, all the gathered information is flushed. The TraceContext
is effectively stored in a ThreadLocal, but only during the processing of certain specific events and then it is cleared out to avoid propagating it to unrelated events.
Rules for TraceContext
The TraceRecorder
companion object provides a simple API to create, propagate and finish a TraceContext
. To start a new context use the TraceRecorder.withNewTraceContext(..)
method. Let's dig into this with a simple example:
Suppose you want to trace a process that involves a couple actors, and you want to make sure all related events become part of the same TraceContext
. Our actors might look like the one shown in AkkaWithKamonExample.scala
Go to Run. This runs the AkkaWithKamonExample.scala
Kamon provides a very simple way to make sure that the trace token available when the log statement was executed is included in your logs, no matter if you are logging synchronously or asynchronously. Kamon provides built in support for logging with Logback, but extending the support to any other logging framework should be a trivial task.
When using ActorLogging
all logging events are sent to your actor system's event stream and then picked up by your registered listeners for actual logging. Akka captures the actor, thread and timestamp from the instant in which the event was generated and makes that info available when performing the actual logging. As an addition to this, Kamon attaches the TraceContext
that is present when creating the log events and makes it available when the actual logging is performed. If you are using the loggers directly then the TraceContext
should be already available.
TraceRecorder.currentContext
gives you access to the currently TraceContext
, so the following expression gives you the trace token for the currently available context:
TraceRecorder.currentContext.map(_.token)
Kamon already packs a Logback converter that you can register in your logback.xml
file and use in your logging patterns. Go to logback.xml file
Apart from scala dependency, Kamon depends on:
Kamon works with sbt 0.13.1, you can see build.properties.
For building with sbt, check build.sbt
And finally plugins.sbt. However, sbt-idea is not mandatory, you should give a try to intellij.
You must provide aspectjweaver 1.74 for instrumentation. Take a look to get started
If you are going to run this outside the sbt console, you must provide the JAVA_OPTS with the aspectjweaver.jar.
export JAVA_OPTS=-javaagent:/path/to/file/aspectjweaver-1.7.4.javaScript
Footnote: In the build.sbt the last section:
fork in run := true
javaOptions in run += "-javaagent:/path/to/file/aspectjweaver.jar"
are only required if you are going to run your project within sbt console with sbt run command
If you run the application will display trace information and the metrics captured. However, if you run this without the agent, the log file will show an undefined trace:
log format: timestamp level [thread-name][traceContext][actor-path] message
16:06:05.095 INFO [simple-context-propagation-akka.actor.default-dispatcher-3][undefined][akka://simple-context-propagation/user/mainActor/upper-caser/length-calculator] Calculating the length of: [HELLO WITHOUT CONTEXT]
16:06:05.104 INFO [simple-context-propagation-akka.actor.default-dispatcher-2][undefined][akka://simple-context-propagation/user/mainActor] Length [21]
Let's define a Trace context. Set the TraceContext
, note that it requires an implicit ActorSystem.
implicit val system = context.system
for(_ ← 1 to 5) {
//TraceRecorder requires an implicit ActorSystem
TraceRecorder.withNewTraceContext("jobSender") {
upperCaser ! "Hello World with TraceContext"
}
}
Now the log file shows the traceContext for my machine "dwarf-4" and "dwarf-5":
16:06:05.116 INFO [simple-context-propagation-akka.actor.default-dispatcher-3][dwarf-4][akka://simple-context-propagation/user/mainActor/upper-caser/length-calculator] Calculating the length of: [HELLO WORLD WITH TRACECONTEXT]
16:06:05.117 INFO [simple-context-propagation-akka.actor.default-dispatcher-3][dwarf-5][akka://simple-context-propagation/user/mainActor/upper-caser/length-calculator] Calculating the length of: [HELLO WORLD WITH TRACECONTEXT]
16:06:05.120 INFO [simple-context-propagation-akka.actor.default-dispatcher-6][dwarf-4][akka://simple-context-propagation/user/mainActor] Length [29]
16:06:05.122 INFO [simple-context-propagation-akka.actor.default-dispatcher-6][dwarf-5][akka://simple-context-propagation/user/mainActor] Length [29]
If you see the big picture, you will be able to trace a request and follow your logs easily.
Kamon will help you to collect custom metrics and actor metrics. In the activator example, you can check
SimpleMetricsListener
as an example of how to implement a simple console metric writer. The
SimpleMetricsListener
is an actor that expects a TickMetricSnapshot
.
class SimpleMetricsListener extends Actor with ActorLogging {
override def receive: Actor.Receive = {
case TickMetricSnapshot(tickFrom, tickTo, metrics) => log.info("Tick From: {} nano To: {} nano => {}", tickFrom, tickTo, metrics)
}
}
case class TickMetricSnapshot(from: Long, to: Long, metrics: Map[MetricGroupIdentity, MetricGroupSnapshot])
object SimpleExtension extends ExtensionId[SimpleExtension] with ExtensionIdProvider {
def lookup(): ExtensionId[_ <: actor.Extension] = SimpleExtension
def createExtension(system: ExtendedActorSystem): SimpleExtension = new SimpleExtension(system)
}


IRI: http://www.cgg.sm/ontology/base#Contact
IRI: http://www.cgg.sm/ontology/base#Institution
IRI: http://www.cgg.sm/ontology/base#Politician
IRI: http://www.cgg.sm/ontology/base#email
IRI: http://www.cgg.sm/ontology/base#headquarters
IRI: http://www.cgg.sm/ontology/base#phone
IRI: http://www.cgg.sm/ontology/base#url
IRI: http://www.cgg.sm/ontology/base#taxReturn


---
layout: default
title: Google Earth Enterprise Open Source
section_id: home
usecases:
- image: islington.png
title: How Islington Council Uses GEE
category: Google Earth Enterprise
url: usecases/how-islington-council-uses-gee.html
- image: gohsep.png
title: Louisiana GOHSEP
url: usecases/louisiana-gohsep.html
category: Google Earth Enterprise
- image: virtual_alabama.png
title: Virtual Alabama
category: Google Earth Enterprise
url: usecases/virtual-alabama.html
- image: statoilhydro.png
title: Statoil Hydro Solution
category: Google Earth Enterprise
url: usecases/statoil_hydro.pdf
features:
-
- title: Access
icon: monitor
desc:
Anytime, anywhere access.
color:
- title: Intuitive Viewers
icon: eye
desc:
Supports Google Earth Desktop Client and Google Maps out of the box.
color:
- title: More than Just Imagery
icon: picture
desc:
Fuse Vector Maps, 3D models, and 3D Terrain into a 3D Globe or 2D Map.
color:
-
- title: Unlimited Scaleability
icon: cloud
desc:
Use a platform that can install and run on anything from Google’s cloud to your own and serve up petabytes of imagery to your users
color: yellow
- title: Portable Globes
icon: globe
desc:
Access your geospatial data in the field in a client/disconnected local-server configuration
color: yellow
- title: Support for OGC Standards
icon: map
desc:
Support for OGC standards like WMS.
color: yellow
milestones:
- from: 0
to: 12
title: Years supported and enhanced
- from: 0
to: 500
title: Petabytes of imagery processed
- from: 0
to: 10000
title: Happy Customers
- from: 0
to: 50000
title: Cups of Coffee Consumed by Dev Team
members:
- desc:
After almost 12 years of updates and enhancements of GEE Fusion, GEE Server, and GEE Portable, the Google Earth Enterprise product is now open source on Github.
socials:
- name: github
link: https://github.com/google/earthenterprise/
color: yellow
- name: mail
link<EMAIL_ADDRESS>color: yellow
---
{% include slider.html %}
{% include whys.html %}
Some Google Earth Enterprise tricks.Use Cases
Join the great team of engineers making Google Earth Enterprise better.
A production ready open source geospatial solution for everyone!
{{service.desc}}
{{member.desc}}


Specifications and Zcash Improvement Proposals for the Zcash cryptocurrency.
Participation in the Zcash project is subject to a Code of Conduct.
The ZIP process is documented in ZIP 0.
This is the list of ZIPs that were under consideration for the NU3 upgrade (around ~April 2020).
| Event | Date |
|---|---|
| ZIP draft submission deadline | August 31, 2019 |
| Feature selection done | October 31, 2019 |
| Testnet beta code release | March 31, 2020 |
| Testnet activation | May 31, 2020 |
| Mainnet activation | October 2020 |
Unless otherwise stated in this repository’s individual files, the contents of this repository are released under the terms of the MIT license. See COPYING for more information or see https://opensource.org/licenses/MIT .


This post is about the popular outlier rejection algorithm RANSAC. It stands for RANdom SAmple Consensus. It is widely used in computer vision, with one of the application being in rejection of false feature matches in a pair of images from a stereo camera set.
Suppose you have been given a dataset and you want to fit a mathematical model on it. We now assume that this data has certain inliers and some outliers. Inliers refer to the data points whose presence can be explained with the help of a mathematical model, while outliers are data points whose presence can never be explained via any reasonable mathematical model. Usually their presence in the dataset deteriorates the quality of the mathematical model that we can fit to the data. For best results, we should ignore these outliers while estimating the parameters of our mathematical model. RANSAC helps us in identifying these points so that we can obtain a better fir for the inliers.
Note that even the inliers do not exactly fit the mathematical model as they might have some noise, but the outliers either have an extremely large amount of noise or they are obtained due to faults in measurement, or because of problems in the sensor from which we are obtaining the data.
The Algorithm
The Input
- Data points
- Some parametrized model (we need to estimate the parameters for this model)
- Some confidence parameters
Algo
- A set points from the original dataset are randomly selected, and are assumed to be the inliers.
- Parameters are estimated to fit to this hypothetical inlier set.
- Every point that was not a part of this hypothetical inlier set is tested against the mathematical model that we just fit.
- The points that fit the model become a part of the consensus set. The model is good if a particular number of points have been classified as part of the consensus set.
- This model is then re-estimated using all the members of a consensus set.
- The above process is repeated a fixed number of times, and the model with the largest consensus set is kept.
How many times do we repeat?
It is possible to theoretically determine the fixed number of iterations ‘k’ which are needed, if we have an estimate of the percentage of outliers present in the data.


Apple Salad
Step 1: In a small bowl, mix lemon juice, avocado oil, vinegar, dijan, basil, and garlic. Whisk and allow to sit.
Step 2: In a large salad bowl, add all salad ingredients.
Step 3: Pour the dressing over the salad and toss to coat. Allow to sit for 10 minutes for flavors to blend.
Step 4: Serve and Enjoy!
Ingredients:
- 3 tablespoons lemon juice
- 2 tablespoons avocado oil
- 1 teaspoon dijon mustard
- 1 clove garlic, minced
- 1 bunch kale, stems removed and massaged
- 2 apples, chopped
- 1 head romaine lettuce, chopped
- 1 tablespoon apple cider vinegar
- 1 tablespoon chopped basil


{{Infobox Korean name |img=Korean.cuisine-Sujebi-01.jpg |caption=Sujebi with banchan |hangul=수제비 (or)
 밀가루뜨더국 |hanja=derived from 手摺 |rr=sujebi (or)
 milgaru ddeudeoguk |mr=sujepi (or)
 milgaru ttŭdŏkuk |}} Sujebi ({{IPA-ko|sʰudʑebi}}, South Korea) or milgaru ddeudeo guk ({{IPA|[milɡaɾu t͈ɯːdʌɡuk]}}, North Korea) is a Korean traditional soup consisting of dough flakes roughly torn by hand, with various vegetables. The flavor and recipe resemble kalguksu, except that the latter is made with noodles rather than wheat flakes. It is commonly considered a dish to consume on rainy days, along with bindaetteok.
The broth for sujebi is usually made with dried anchovies, shellfish, and kelp. In order to obtain a rich, umami flavor, the ingredients should be simmered for many hours. Added to this broth are soft noodles and various vegetables or kimchi, most often zucchini and potatoes.
Contents |
Korean people began to eat sujebi and guksu (국수 noodles), both dishes made of wheat flour, from the early Goryeo period (935~1392), but the name sujebi (earlier sujeop-eo) dates from the mid Joseon period. Sujeop-eo is a combined hanja word comprising the terms su (hanja: 手; hangul: 수; literally "hand") and jeop (hanja: 摺; hangul: 접어 or 접다; literally "folded" or "folding").
From the Joseon period, people started making various types of sujeobi according to various purposes. Sujebi is today considered a typical commoner's food, but in the past, it was relatively rare and used for special occasions especially janchi (잔치; feast, banquet) such as dol janchi (the celebration of a baby's first birthday).
In North Korea, sujebi is called milgaru ddeudeo guk (밀가루뜨더국), which is the words comprising three words: milgaru (밀가루; literally "wheat flour") + ddeudeo (뜯어; literally "tearing" or "torn") guk (국; literally "soup").
The names of sujebi vary according to regions in Korea. <ref>{{Ko icon}} 수제비의 사투리, 다부렁죽과 떠넌죽 그리고 벙으래기 from Ohmynews.com</ref>
| Region or cities | Name | Korean name |
|---|---|---|
| North Korea | milgaru ddeudeo guk | 밀가루뜨더국 <ref>{{ko icon}} 육수가 개운한 수제비</ref> |
| Gyeonggi-do and Gangwon-do | ddeudegi or ddedeokguk | 뜨데기 or 뜨덕국 |
| Jeollanam-do | ddeoneonjuk or ddiyeonjuk | 떠넌죽 or 띠연죽 |
| Gyeongsangnam-do | sujibi, miljebi, or milkkarijang guk | 수지비, 밀제비, or 밀까리장국 |
| Yeocheon and Bongwha | dabureong juk or beongeuraegi | 다부렁죽 or 벙으래기 |
<references/>


Take a look at this site for all kinds of framework tutorials, you will find the Java Web Parts AjaxParts tutorials under the Ajax submenu.
http://www.learntechnology.net
As part of the Java Web Parts project itself there is the Cookbook. The Cookbook contains a number of small projects using the AjaxParts Taglib. If there is anything you would like to see added there, please let us know.
An article (in German) about Ajax with Java and Java Web Parts.
http://manfred-wolff.de/data/ManneAjax.pdf
An article from Frank W. Zammetti (the founder of Java Web Parts) about AjaxParts Taglib.
http://www.omnytex.com/articles
And ofcourse you can always read a book. Frank W. Zammetti (the founder of Java Web Parts) wrote a book about Ajax (Practical Ajax Projects with Java Technology, ISBN: 1-59059-695-1) which also contains chapters about Java Web Parts.


We see it every day. In our commutes, a homeless pandhandles at a intersection. "Anything helps", as is the message. However the question remains: Will giving money to this man or woman feed an addiction? Am I helping or making it worse?
This is a common sight in not only the local community, but the entire nation as a whole. Common enough that people have learned to adapt to their presence. Some may donate as they wait for the light to turn green, or avert attention.
Volunteering efforts have greatly raised awareness of the homeless problem. It has even improved the lives of existing homeless. Such as the efforts of Habitat for Humanity, where they have served hundreds of thousands of not just homeless but the disadvantaged since its tenure.
Organizations such as Metropolitan Ministries also pursue in helping the homeless, and has extended their assistance to prevention, life rehabilitation, and much more.
Anyone can attend to these organizations' services - they will serve those in need, for the community.
Some may raise awareness in artistic fashion. Renato Rampolla is one such individual. Over the past year and a half he has been photographing the homeless across the country, and has published his efforts in a book Dignity No Matter What, The Light Within. In photographing, he also learned 40 fascinating stories.
Laziness wasn't always the issue. Addiction, mental health and heartbreak were common subjects. In learning about each person, there is a basic love that isn't nearly shared as should.
Rampolla's book gives a new perspective of the homeless problem. Very real people with real issues, not just people loitering about solely seeking empathy. "To raise social consciousness about the homeless", as Rampolla expresses. Rarely do people stop by and ask how they are doing, what's going on?
And miraculously, it was their first photo in years.
And sometimes, the unfortunate are lost without much of any knowing that they are gone. John and Bailee McQueen prepare to scatter the ashes of the forgotten homeless that died tragically in 2017.
"I'm sure your family would want you to know you would have been missed."


Hello!
Congratulations to this week's winner......{{ week_winners|join:" and " }} ({{ points }} pts)
The best performing players this week were:
{% regroup best_players by player.position as players %}
{% for position in players %}
{{ position.grouper }}
{% for object in position.list %}
{{ object.player.name }}
- {{ object.player.club }} ({{ object.points }} pts)
{% endfor %}
{% endfor %}
Statistics for the season:
{% for position, player in stats.most_points.items %}
Best {{ position|lower }}: {{ player.name }}
- {{ player.club }} ({{ player.total_points }} pts)
{% endfor %}
{% for position, player in stats.best_value.items %}
Best value {{ position|lower }}: {{ player.name }}
- {{ player.club }} ({{ player.pv|floatformat:"1" }} pts/value)
{% endfor %}
{% for position, player in stats.most_popular.items %}
Most popular {{ position|lower }}: {{ player.name }}
- {{ player.club }} ({{ player.teams }} teams)
{% endfor %}
WEEK TOP {{ week_top|length }}
| Manager | Team | Week Score |
|---|---|---|
| {{ row.team.manager }} | {{ row.team.team_name }} | {{ row.points }} |
The full weekly performance table is here.
LEAGUE TOP {{ league_top|length }}
| Rank | Manager | Team | Subs Used | Total Score | Change | ||
|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{ team.manager }} | {{ team.team_name }} | {{ team.subs_used }} | {{ team.total_points }} | {% if team.league_movement < 0 %}{{ team.league_movement }} | {% endif %} {% if team.league_movement > 0 %}+{{ team.league_movement }} | {% endif %} {% if team.league_movement == 0 %}{{ team.league_movement }} | {% endif %}
The full league table is here.
To look at the graph of how your team is progressing against other teams, go here.
Please email your transfers to Lee with the subject "FFL Transfers".
You can use this link or click the arrows on your team page.
New players available this week:
{% endif %} {% regroup new_players by position as players %}
{% for position in players %}
{{ position.grouper }}
{% for player in position.list %}
{{ player.name }} - {{ player.club }} (£{{ player.value }}m)
{% endfor %}
{% endfor %}
Since the game week starts on a Tuesday that's the best day to send transfers.
Cheers,
Lee


|
LIBIRWLS
|
Functions to classify data with a trained model. More...
#include "IOStructures.h"
Go to the source code of this file.
Functions | |
| double * | test (svm_dataset dataset, model mymodel, predictProperties props) |
| Function to classify data in a labeled dataset and to obtain the accuracy. More... | |
| double * | softTest (svm_dataset dataset, model mymodel, predictProperties props) |
| Function to obtain the soft output of the classifier. More... | |
| void | printPredictInstructions (void) |
| Print instructions. More... | |
| predictProperties | parsePredictParameters (int *argc, char ***argv) |
| It parses the prediction parameters from the command line. More... | |
Functions to classify data with a trained model.
| predictProperties parsePredictParameters | ( | int * | argc, |
| char *** | argv | ||
| ) |
It parses the prediction parameters from the command line.
It reads the command line, extract the parameters and creates a strict with the value of its values.
| argc | The number of words of the command line. |
| argv | The list of words of the command line. |
| void printPredictInstructions | ( | void | ) |
Print instructions.
It shows the command line instructions in the standard output.
| double* softTest | ( | svm_dataset | dataset, |
| model | mymodel, | ||
| predictProperties | props | ||
| ) |
Function to obtain the soft output of the classifier.
Function to obtain the soft output (the output of the classifier before using the threshold to decide class +1 or -1) of the model on a dataset. It is useful to combine this output with other algorithms in ensembles.
| dataset | The test set. |
| mymodel | A trained SVM model. |
| props | The test properties. |
| double* test | ( | svm_dataset | dataset, |
| model | mymodel, | ||
| predictProperties | props | ||
| ) |
Function to classify data in a labeled dataset and to obtain the accuracy.
Function that uses a trained model on a dataset and obtains the class of every training sample.
| dataset | The test set. |
| mymodel | A trained SVM model. |
| props | The test properties. |


What Blockchain Technology Can Do and What Could Be Overstretched Expectations
A lot is possible on the blockchain. But, the blockchain does not have power to solve every problem thrown at it.
Diamond provenance protection, asset trading, land title registry, passport issuance, smart contracts, currency... you name it, there is already a startup building the solutions for it on the blockchain (the decentralized public ledger that underlines most cryptocurrencies, including Bitcoin). And the list of possible opportunities that the technology has to offer seems to grow longer each passing day.
As a matter of fact, it is now almost a given that at every Bitcoin meetup, conference or forum you attend, there will be someone who sees it as the right place to let the world know of the new blockchain innovation they have been working on. What's more, the impression that there is nothing that can't find a solution from the distributed ledger technology has done more than take hold in the Bitcoin community. It is now catching on with the mainstream financial institutions, technology companies and even beyond.
Blockchain Has Become a Must-have Topic in Fintech Talk Shops
First, it slowly became something that must be discussed at every Fintech meeting, conference or forum. This is in spite of the fact that this is a technology that is very complex even for technology-savvy people to understand. Nevertheless, bank executives, entrepreneurs, and everyone else is buying the idea that it is not only a cool technology to explore but also that there is no future for any industry devoid of it.
Ironically, though, executives of mainstream financial institutions can't resist exorcising its most successful application, Bitcoin, from the discussions. This is, of course, understandable. You cannot expect it to be lost to them that Bitcoin is a formidable, direct competitor to what they offer.
Both the birth and success of Bitcoin have been laid on the doorstep of the greed reigning within the banking industry around the world. And, indeed, Satoshi Nakamoto, the founder, could not find a better time to publish his white paper on the decentralized peer-to-peer financial system than during one of the worst bank collapses in 2008.
To balance between the admiration for the blockchain and the dislike of the cryptocurrency, players in the mainstream financial industry have found their refuge in the mantra 'Blockchain is good, Bitcoin is bad.'
Involvement Through Joint Projects, Internal Capacity Building and Investment
Public relations aside, there is already a lot of action to back up the rhetoric about the blockchain. On 15 September 2015, nine financial companies came together to form R3cev, a consortium to research and develop private blockchain financial system solutions. The list of backers included BBVA, Commonwealth Bank of Australia, Credit Suisse, UBS, Goldman Sachs, J.P. Morgan, Royal Bank of Scotland, State Street and Barclays.
By the start of the New Year, the number of financial companies that had joined the project had climbed to over 40. The idea behind this project is for mainstream financial institutions to benefit from the blockchain technology without them losing control of their businesses.
At about the same time, Linux Foundation was launching the Hyperledger project. This has also attracted support from about forty financial institutions and technology companies including ABN AMRO, Accenture, Wells Fargo and Digital Asset Holdings.
These joint projects are over and above individual engagements by the mainstream financial and technology companies with the technology. This includes investments they have made in blockchain startups as well as the internal blockchain research teams they have formed.
Last but not least, there is a stream of venture capital into startups building solutions on the blockchain. In the first three months of 2016 alone, about $140 million were invested in various Bitcoin and blockchain startups.
Every investor now wants to be part of the technology. Indeed, everyone wants a piece.
We Didn't See the Internet Coming; We Can't Miss This One Too
Perhaps one the major forces pushing everyone to adopt the blockchain is the similarities that have been drawn from the Internet experience. It is a widely carried message that the technology is where the internet was in the early 1990s.
And of course, everyone knows how only a few saw the potential in the Internet and how things turned out later. Nobody wants to be left behind this time around when the train leaves the station.
But, in the middle of the hype, excitement, and fear of falling behind, one fact is likely to get lost; and that is the viability of the technology as the solution that can be thrown at every social, economic and political problem that humanity faces.
Of course, there is no question that distributed ledgers will help institutions, businesses, and even governments keep track of data in a way that is safe, easy to use and without a lot of intermediaries.
Nevertheless, it is only right to appreciate that there are things that the blockchain cannot do. It is far from a "one size fits all" solution.
Does the Blockchain Have the Power to Change Everything?
For instance, smart contracts are self-executing contracts made possible by the blockchain. One part completes only after the other has met specific obligations. In certain cases, however, such as where a change of property ownership takes place, the need for law enforcement agencies is not completely removed - and will hardly ever be.
Take a situation where you buy a piece of land from a seller. The blockchain would facilitate the swapping of the price and the title between you and the seller. However, if the seller refuses to vacate, then you might need to make a trip to a court of law to have the contract enforced. This might make the smart contract pointless in this case.
Another example is the use of the blockchain to track ownership of diamonds. Having the unique data of a particular diamond and its engraved identification number hashed and stored on the blockchain makes for easy referencing. This is what Everledger, a London-based startup, is doing.
Obviously, IDing is a critical part to the success of this service. If it is faulty, then the blockchain can really do as much to help combat theft and fraud.
Think of a situation where a stolen diamond is cut and thus given a new identity. The old identity on the blockchain won't really serve any purpose. Everledger has insisted, in various forums, that fraudsters will be economically disincentivized to cut stolen diamonds, because that results in wastage and lost value.
However, it is also true that they will still gain even if they cut them. The reason being that fraudsters do not incur any prior significant cost to acquire the diamond.
Indeed, a lot is possible with the blockchain. It seems set to revolutionize different aspects of society, starting with finance, ecommerce, asset management, and even public administration. But, it might be an overstatement to argue that the distributed ledger technology has the power to solve every problem thrown at it.


Chalmers Course Attendees
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Dr. Gopal Krishna Nayak
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Prof. Ajit Kumar Das
Registrar
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Dr. R. C. Balabantaray
Dean
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Dr. Suvendu Rup
Assistant Professor
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Dr. Anjali Mohapatra
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Ms. Bharati Mishra
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Ms. Puspanjali Mohapatra
Assistant Professor
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Tushar Ranjan Sahoo
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Mr. Rakesh K. Lenka
Assistant Professor
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Dr. Debasish Jena
Associate Professor
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Dr. Hemanta Kumar Pati
Assistant Professor
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Mr. Muktikanta Sahu
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Mr. Sabyasachi Patra
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Dr. Suraj Sharma
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Dr. Swati Vipsita
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Mr. Ajaya Kumar Dash
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Payment Gateway Services
Consumer Services
Quickteller Bill Payment API
Pay bills to over 3000 billers
Send Money API
Send money securely and speedly
Quickteller Airtime Topup API
Do virtual airtime top instantly
Card Services
Prepaid Card API
Empower merchant to create a prepaid card scheme efficiently, securely and easily
Cardless Withdrawal and Payment Services
Single Paycode API
Generate paycode for making cardless transactions
Bulk Paycode API
Generate multiple paycodes for making cardless transactions
Lending Services
Interswitch Lending Services API
Take advantage of our lending platform as a Lender or a bank to facilitate lending.
Direct Debit API
Enable merchant initiate direct debit on the customer's account
Business Services
Bulk Funds Collection API
Securely collect funds from your customers from different channels
PoS Management API
Drive your Point of Sale devices
Finance Services
Dispute Management API
Integrate Interswitch dispute
management solution to your frontend
Settlement System API
Integrate Interswitch settlement system
to your frontend
Payment Account Validation API
Integrate payment account validation
to your frontend


Checking For an Object Using SQL Queries
The second check is to verify the existence of the 'DB2AUTH.USERS' table. It's actually very similar to the first check that we did. The differences are highlighted in yellow on the right.
Steps:
- Copy or enter the text from the right into the file
- Don't forget the closing action and task tags at the end of the page!
We give our new action (not actionScript this time) a new name. Then, we define our new parameters:
- This time our action is to check for an object (a table), so the value is set to 'checkForObject'
- We want to look for a table, so the object type is 'table'
- The table's schema is 'DB2AUTH'
- The table name is 'USERS'


question.3
create an array of objects with objects having following properties
a.{name (string),age(number),country(string),hobbies array(string[])}
b.write a function to display all the objects on the console.