Preparation time
1-2 hours
Cooking time
30 mins to 1 hour
Serves
Serves 6-8
Give classic banoffee pie an upgrade with homemade marshmallows and caramelied bananas. The perfect recipe for when you need a showstopper dessert.
Preheat the oven to 200C/180C Fan/Gas 6.
For the banoffee pie, put the flour in a bowl and rub in the unsalted butter with your fingertips until the mixture resembles fine breadcrumbs. Add the cold water gradually, mixing to form a soft dough. Roll out the dough on a lightly floured work surface and use it to line a 20cm/8in fluted flan tin. Put in the fridge to chill for 30 minutes.
Line the pastry case with baking paper and fill with baking beans or rice. Blind bake for 15 minutes, then remove the beans and baking paper and cook for a further 5 minutes to dry out the base. Remove from the oven and leave to cool.
Meanwhile, put the butter and sugar in a large saucepan and melt over a medium heat. Once melted add the condensed milk and mix. Pour into the cooled pastry case. Leave to set and cool.
Lay the sliced bananas on top of the caramel sauce, top with the whipped cream and garnish with the grated chocolate.
To make the marshmallows, lightly oil a shallow baking tray, about 30x20cm/12x8in and dust it with icing sugar and cornflour.
Soak the gelatine sheets in 140ml/4½fl oz cold water.
Put the sugar, glucose and 200ml/7fl oz water into a heavy-based pan. Bring to the boil and continue cooking for about 12-15 minutes until the mixture reaches 127C on a sugar thermometer. When the syrup is up to temperature, carefully slide in the softened gelatine sheets and their soaking water. The syrup will bubble up so take care not to burn yourself. Pour the syrup into a metal jug.
Whisk the egg whites until stiff, preferably with an electric whisk in a mixing bowl. Continue whisking while pouring in the hot syrup from the jug. The mixture will become shiny and start to thicken. Add the vanilla extract and continue whisking for about 5-10 minutes, until the mixture is stiff and thick enough to hold its shape on the whisk.
Spoon the mixture into the prepared tin and smooth with a wet palette knife if necessary. Leave for at least 1 hour to set.
Dust a work surface with icing sugar and cornflour. Loosen the marshmallow around the sides of the tray with a palette knife, and turn it out on to the dusted surface. Cut into squares and roll in the icing sugar and cornflour. Leave to dry a little on a wire rack.
For the caramelised bananas, heat a large frying pan and add the sugar, leave on the heat until it turns to caramel (CAUTION: boiling sugar is extremely hot. Handle very carefully.) Once turned to a caramel carefully add 4 tablespoons water to create a little sauce. Add the chopped baby bananas to the sauce and stir to coat.
To serve, put a slice of the banoffee pie in the centre. Garnish with a scoop of ice cream, squares of marshmallows, some caramelised bananas and sprinkle over the mint.


Tiki bar pulls thousands of dollars from ceiling and walls, donates it
by Rusty BlazenhoffIt started innocently enough. A single dollar bill was pinned to the ceiling of a tiki bar in California — with a tiny paper umbrella, no less. That lone bill soon inspired many more.
For over 10 years now, patrons of Forbidden Island, a popular tiki lounge in the island city of Alameda, have been leaving legal tender suspended above their rum-filled cocktails. Using their drink's umbrellas, or swizzle sticks, the bar's customers stick the cash up, but not before they decorate it in some way. Some pen their name and the date, while others get more elaborate and make their offering a rectangular piece of art.
It's become such a popular pastime, the bar keeps a bucket of markers and unused umbrellas for those who want to leave their mark.
But it recently got out of control, at least in the eyes of my pal Michael Thanos, the bar's owner. He invited me down to get the whole story.
"There was simply no more room to put the money in the ceiling," Thanos told me. "So people started sticking money all over the place," motioning to the Lauhala-matted walls and tapa-covered light fixtures.
"It was just too much."
Before (photo by Alex T./Yelp) and during (photo by Michael Thanos)
So, in October, he and his staff spent an entire day carefully pulling the cash off of everything.
It was a bigger job than they had first realized. As it neared opening time, they had to stuff the cash in four big garbage bags to deal with at later time. "And it was a really dirty job. We had to wear gloves and face masks because there was layers of fire retardant and dust," reported General Manager John Peterson. When they got back to sorting and counting it, they were surprised to learn they had a significant amount of money on their hands.
"$10,367 to be exact," said John.
Michael Thanos (left), John Peterson (right), and 10 grand (big pile).
Now, Forbidden Island's first dollar-bill-on-the-ceiling came with a story, from the gentleman who placed it. He told staff that the tradition dated back to World War II. "Servicemen headed to the South Pacific would have their final drink before being shipped out and stick a dollar in the bar's ceiling as a sort of a visual promise that they'd return home," recounted Thanos, "And when they did return, they would head to that same bar to find it."
(The United States Bartenders' Guild dates the tradition back to the California Gold Rush days.)
"Origami Alley"
When the bar re-opened with a bare ceiling, some regulars were upset that their contributions had been removed. So when the Forbidden Island crew was deciding what to do with all the money, they kept them in mind.
"We wanted to be sensitive to the fact that our guests had memories and important dates attached to these dollars. We want them to know that we're going to do good with it. That's when we took a poll of the staff to select the top three charities," Peterson remarked.
Thanos and his staff believe charity begins at home, so they have chosen three local organizations to receive the bulk of the money. Over $8,000 will be divvied up between Building Futures, Friends of the Alameda Animal Shelter, and Alameda Family Services.
"Since the day we opened in 2006, we have been pro-Alameda in every way, from promoting Alameda causes and events to carrying Alameda-produced spirits and brews in favor of the big name international brands. So naturally we decided that the beneficiaries of our donation should be organizations that specifically benefit Alamedans in need," said Thanos.
To continue the goodwill, on Tuesday, November 26, the bar is having a pop-up benefit event, hosted by Tiki Lindy. All proceeds will be donated to Stand for Kindness, a charity that helps Northern Californian wildfire survivors.
The remaining nearly $2000 of the ceiling money will, well, remain. The more unique (decorated or otherwise) currency was put back on the ceiling.
Some big spender left ten trillion... Zimbabwe dollars.
Thanos shrugged, "In 10 years, or maybe sooner, I'm guessing we'll be pulling money off the ceiling again. And again, we'll do the right thing for our community."
---
The "Forbidden Island" bill, photo by Michael Thanos
Forbidden Island is located at 1304 Lincoln Avenue in Alameda, California.
If you go: Dress "Aloha," order a tropical drink, and bring some dollars to play the "Money Ceiling" game.
photos by Rusty Blazenhoff, except as noted


|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object javax.xml.transform.stream.StreamSource
public class StreamSource
Acts as an holder for a transformation Source in the form of a stream of XML markup.
Note: Due to their internal use of either a Reader
or InputStream
instance,
StreamSource
instances may only be used once.
| Field Summary | |
|---|---|
static String |
FEATURE
If TransformerFactory.getFeature(java.lang.String)
returns true when passed this value as an argument,
the Transformer supports Source input of this type. |
| Constructor Summary | |
|---|---|
StreamSource()
Zero-argument default constructor. |
|
StreamSource(File f)
Construct a StreamSource from a File. |
|
StreamSource(InputStream inputStream)
Construct a StreamSource from a byte stream. |
|
StreamSource(InputStream inputStream,
String systemId)
Construct a StreamSource from a byte stream. |
|
StreamSource(Reader reader)
Construct a StreamSource from a character reader. |
|
StreamSource(Reader reader,
String systemId)
Construct a StreamSource from a character reader. |
|
StreamSource(String systemId)
Construct a StreamSource from a URL. |
| Method Summary | |
|---|---|
InputStream |
getInputStream()
Get the byte stream that was set with setByteStream. |
String |
getPublicId()
Get the public identifier that was set with setPublicId. |
Reader |
getReader()
Get the character stream that was set with setReader. |
String |
getSystemId()
Get the system identifier that was set with setSystemId. |
void |
setInputStream(InputStream inputStream)
Set the byte stream to be used as input. |
void |
setPublicId(String publicId)
Set the public identifier for this Source. |
void |
setReader(Reader reader)
Set the input to be a character reader. |
void |
setSystemId(File f)
Set the system ID from a File reference. |
void |
setSystemId(String systemId)
Set the system identifier for this Source. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
public static final String FEATURE
TransformerFactory.getFeature(java.lang.String)
returns true when passed this value as an argument,
the Transformer supports Source input of this type.
| Constructor Detail |
|---|
public StreamSource()
Zero-argument default constructor. If this constructor is used, and
no Stream source is set using
setInputStream(java.io.InputStream inputStream)
or
setReader(java.io.Reader reader)
, then the
Transformer
will
create an empty source InputStream
using
new InputStream()
.
Transformer.transform(Source xmlSource, Result outputTarget)
public StreamSource(InputStream inputStream)
If this constructor is used to process a stylesheet, normally setSystemId should also be called, so that relative URI references can be resolved.
inputStream
- A valid InputStream reference to an XML stream.public StreamSource(InputStream inputStream, String systemId)
This constructor allows the systemID to be set in addition to the input stream, which allows relative URIs to be processed.
inputStream
- A valid InputStream reference to an XML stream.systemId
- Must be a String that conforms to the URI syntax.public StreamSource(Reader reader)
reader
- A valid Reader reference to an XML character stream.public StreamSource(Reader reader, String systemId)
reader
- A valid Reader reference to an XML character stream.systemId
- Must be a String that conforms to the URI syntax.public StreamSource(String systemId)
systemId
- Must be a String that conforms to the URI syntax.public StreamSource(File f)
f
- Must a non-null File reference.| Method Detail |
|---|
public void setInputStream(InputStream inputStream)
If this Source object is used to process a stylesheet, normally setSystemId should also be called, so that relative URL references can be resolved.
inputStream
- A valid InputStream reference to an XML stream.public InputStream getInputStream()
public void setReader(Reader reader)
reader
- A valid Reader reference to an XML CharacterStream.public Reader getReader()
public void setPublicId(String publicId)
The public identifier is always optional: if the application writer includes one, it will be provided as part of the location information.
publicId
- The public identifier as a string.public String getPublicId()
public void setSystemId(String systemId)
The system identifier is optional if there is a byte stream or a character stream, but it is still useful to provide one, since the application can use it to resolve relative URIs and can include it in error messages and warnings (the parser will attempt to open a connection to the URI only if there is no byte stream or character stream specified).
setSystemId
in interface Source
systemId
- The system identifier as a URL string.public String getSystemId()
getSystemId
in interface Source
public void setSystemId(File f)
f
- Must a non-null File reference.
|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Copyright © 2004, 2010 Oracle and/or its affiliates. All rights reserved. Use is subject to license terms. Also see the documentation redistribution policy.


Baobab Digital Agency
Andrew Emelianenko
- Top-Rated Freelancer for a Two Years
- Upwork Talent Cloud Member
- Author of Ruby, JavaScript, HTML, CSS, Bootstrap tests at Upwork
I am Product Architect / Team Lead / Software Engineer with more than 10 years of experience and dozens of successful projects.
Upwork
LinkedIn
I'm well-experienced in a wide range of technologies. The list of projects I have successfully completed include:
- Payment Systems
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Web, Mobile, and Desktop are beyond our control. Please, be familiar with my skill set to make sure:
Leadership
- Product Architecture
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- Team Management
- Security and Performance Audits
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Web
- Angular / React / Vue
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Desktop
If you want to get a high-quality code and perfect results, please contact my team and me. I'm sure you will be satisfied more than you expect.


Please wait while dictionaries are being loaded, this may take some time.
This software uses the EDICT and KANJIDIC dictionary files. These files are the property of the Electronic Dictionary Research and Development Group, and are used in conformance with the Group's licence.
This software uses Takuya Asano's JavaScript implementation of the Kuromoji Japanese morphological analyzer.
Source code is available on GitHub (readme.txt, license.txt)


Provides functions for linking and de-duplicating data sets. Methods based on a stochastic approach are implemented as well as classification algorithms from the machine learning domain.
| Version: | 0.4-10 |
| Depends: | R (≥ 2.10.0), DBI, RSQLite (≥ 1.0.0), ff, ffbase |
| Imports: | e1071, rpart, ada, ipred, stats, evd, methods, data.table (≥ 1.7.8), nnet, xtable |
| Suggests: | RUnit |
| Published: | 2016-07-27 |
| Author: | Andreas Borg, Murat Sariyar |
| Maintainer: | Andreas Borg <borga at uni-mainz.de> |
| Contact: |<EMAIL_ADDRESS>|
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://r-forge.r-project.org/projects/recordlinkage/, http://journal.r-project.org/archive/2010-2/RJournal_2010-2_Sariyar+Borg.pdf |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| In views: | OfficialStatistics |
| CRAN checks: | RecordLinkage results |
| Reference manual: | RecordLinkage.pdf |
| Vignettes: |
Classes for record linkage of big data sets Record Linkage with Extreme Value Theory Supervised Classification Weight-based deduplication |
| Package source: | RecordLinkage_0.4-10.tar.gz |
| Windows binaries: | r-devel: RecordLinkage_0.4-10.zip, r-release: RecordLinkage_0.4-10.zip, r-oldrel: RecordLinkage_0.4-10.zip |
| OS X binaries: | r-release: RecordLinkage_0.4-10.tgz, r-oldrel: RecordLinkage_0.4-10.tgz |
| Old sources: | RecordLinkage archive |
| Reverse depends: | blink |
| Reverse enhances: | SoundexBR |
Please use the canonical form https://CRAN.R-project.org/package=RecordLinkage to link to this page.


A problem has been detected and your operating system has been shut down to prevent damage to your system.
FATAL_OCTOBERFEST_BSOD
If this is the first time you’ve seen this error screen, restart your computer. If this screen appears again, follow these steps:
Check to make sure any new hardware or software is properly installed. If this is a new installation, ask your hardware or software manufacturer for any updates you might need.
If this problem continues, disable or remove any newly installed hardware or software. Disable BIOS memory options such as caching and shadowing. If you need to use Safe Mode to remove or disable components, restart your computer, press F8 to select Advanced Startup Options, and then select Safe Mode.
Technical information:
*** 0C7083R1A: e36b982fa005a7cf3ac895b57efabe8b (0xe456cb5c)
*** 0C7083R2B: dbb475424520b5cc0ddc3db6c0f77568 (0x45b60073)
*** 0C7083R3C: 910edb7be6c42d0c74e51ce75e339c57 (0x2d351874)
*** 0C7083R4D: 5da5d645e2506638c39c251c53f263a8 (0xc017fe82)
*** 0C7083R5E: b5afac45f70142d1659b1715fe13b30f (0xf3ab1eac)
*** 0C7083R6F: f240e73bbbfccb4278360fbff8ac759d (0x6e9adf81)
*** 0C7083R7G: 9e017861cbfe79f9969e5651277d28fd (0x15186d99)
*** 0C7083R8H: 895d1ac2330ef1ae7a06204be4c1ddd7 (0x448a46de)
*** 0C7083R9I: a64672f65cc46d714b268e9e16a7a9d9 (0x9af89fbb)
Contact your system administrator or technical support group for further assistance.


Hardcoding an IP address into source code is a bad idea for several reasons:
- a redeployment is required if the address changes
- it forces the same address to be used in every environment (dev, sys, qa, prod)
- it places the responsibility of setting the value to use in production on the shoulders of the developer
- it allows attackers to decompile the code and thereby discover a potentially sensitive address


随机：https://tuimeizi.cn/random/100x100
性感：https://tuimeizi.cn/sexy/100x100
清纯：https://tuimeizi.cn/pure/100x100
COSER：https://tuimeizi.cn/coser/100x100


Monday, June 11 — 8:50 AM to 6:30 PM, Louis Armstrong Room
Organized by Tina Eliassi-Rad, Bailey Fosdick, Dan Larremore, & Aaron Clauset
| Time | Type | Title | Speaker |
|---|---|---|---|
| 8:50 | WELCOME | Bailey Fosdick | |
| 9:00 | Invited | Inference beyond network models | Martin Rosvall |
| 9:40 | Contributed | Thermodynamics of network model fitting with spectral entropies | Carlo Nicolini, Angelo Bifone, and Vladimir Vlasov |
| 10:00 | Contributed | Uncovering the evolution of dynamic networks using temporal data | Naomi Arnold, Raul Mondragon, and Richard Clegg |
| 10:20 | Flash Talk | Modeling the dynamics of social networks and continuous actor attributes | Nynke Niezink |
| 10:30 | COFFEE | ||
| 11:15 | Invited | A Quest for Structure: Joint Graph Structure & Semi-Supervised Inference | Leman Akoglu |
| 11:55 | Contributed | Community detection in networks with unobserved edges | Till Hoffman, Leto Peel, Renaud Lambiotte, and Nick Jones |
| 12:15 | Contributed | Evaluating a detectability threshold in community detection from the modularity landscape | Tatsuro Kawamoto and Yoshiyuki Kabashima |
| 12:35 | Flash Talk | Global spectral clustering in dynamic networks | David Choi, Fuchen Liu and Kathryn Roeder |
| 12:45 | LUNCH | ||
| 2:15 | Invited | Identifying overlapping terrorist cells from the Noordin Top actor-event network | Veronica Vinciotti |
| 2:55 | Contributed | When networks are not enough: Inference of optimal higher-order models of complex systems | Ingo Scholtes |
| 3:15 | Contributed | Flexible model selection for mechanistic network models via super learner | Sixing Chen, Antonietta Mira and Jukka-Pekka Onnela |
| 3:35 | Flash Talk | Reconstructing networks with heterogeneous and unknown errors | Tiago Peixoto |
| 3:45 | COFFEE | ||
| 4:20 | Invited | Randomization inference for spillovers in networks | Dean Eckles |
| 5:00 | Contributed | Estimating causal effects under interference using Bayesian generalized propensity scores | Laura Forastiere, Edoardo Airoldi, and Albert Wu |
| 5:20 | Contributed | Distribution free learning and stochastic gradient descent for relational data | Victor Veitch, Wenda Zhou, Morgane Austern, David Blei, and Peter Orbanz |
| 5:40 | Flash Talk | Empirical evaluation of generative network models to approximate ground truth system | Viplove Arora and Mario Ventresca |
| 5:50 | PANEL | Martin Rosvall, Leman Akoglu, Veronica Vinciotti, Dean Eckles | |
| 6:25 | CLOSING | Organizers |


This document describes how to install, configure and manage non-trivial Hadoop clusters ranging from a few nodes to extremely large clusters with thousands of nodes.
To play with Hadoop, you may first want to install it on a single machine (see Single Node Setup).
Download a stable version of Hadoop from Apache mirrors.
Installing a Hadoop cluster typically involves unpacking the software on all the machines in the cluster or installing RPMs.
Typically one machine in the cluster is designated as the NameNode and another machine the as ResourceManager, exclusively. These are the masters.
The rest of the machines in the cluster act as both DataNode and NodeManager. These are the slaves.
The following sections describe how to configure a Hadoop cluster.
Hadoop configuration is driven by two types of important configuration files:
Additionally, you can control the Hadoop scripts found in the bin/ directory of the distribution, by setting site-specific values via the conf/hadoop-env.sh and yarn-env.sh.
To configure the Hadoop cluster you will need to configure the environment in which the Hadoop daemons execute as well as the configuration parameters for the Hadoop daemons.
The Hadoop daemons are NameNode/DataNode and ResourceManager/NodeManager.
Administrators should use the conf/hadoop-env.sh and conf/yarn-env.sh script to do site-specific customization of the Hadoop daemons' process environment.
At the very least you should specify the JAVA_HOME so that it is correctly defined on each remote node.
In most cases you should also specify HADOOP_PID_DIR and HADOOP_SECURE_DN_PID_DIR to point to directories that can only be written to by the users that are going to run the hadoop daemons. Otherwise there is the potential for a symlink attack.
Administrators can configure individual daemons using the configuration options shown below in the table:
| Daemon | Environment Variable |
|---|---|
| NameNode | HADOOP_NAMENODE_OPTS |
| DataNode | HADOOP_DATANODE_OPTS |
| Secondary NameNode | HADOOP_SECONDARYNAMENODE_OPTS |
| ResourceManager | YARN_RESOURCEMANAGER_OPTS |
| NodeManager | YARN_NODEMANAGER_OPTS |
| WebAppProxy | YARN_PROXYSERVER_OPTS |
| Map Reduce Job History Server | HADOOP_JOB_HISTORYSERVER_OPTS |
For example, To configure Namenode to use parallelGC, the following statement should be added in hadoop-env.sh :
export HADOOP_NAMENODE_OPTS="-XX:+UseParallelGC ${HADOOP_NAMENODE_OPTS}"
Other useful configuration parameters that you can customize include:
| Daemon | Environment Variable |
|---|---|
| ResourceManager | YARN_RESOURCEMANAGER_HEAPSIZE |
| NodeManager | YARN_NODEMANAGER_HEAPSIZE |
| WebAppProxy | YARN_PROXYSERVER_HEAPSIZE |
| Map Reduce Job History Server | HADOOP_JOB_HISTORYSERVER_HEAPSIZE |
This section deals with important parameters to be specified in the given configuration files:
| Parameter | Value | Notes |
|---|---|---|
| fs.defaultFS | NameNode URI | hdfs://host:port/ |
| io.file.buffer.size | 131072 | Size of read/write buffer used in SequenceFiles. |
| Parameter | Value | Notes |
|---|---|---|
| dfs.namenode.name.dir | Path on the local filesystem where the NameNode stores the namespace and transactions logs persistently. | If this is a comma-delimited list of directories then the name table is replicated in all of the directories, for redundancy. |
| dfs.namenode.hosts / dfs.namenode.hosts.exclude | List of permitted/excluded DataNodes. | If necessary, use these files to control the list of allowable datanodes. |
| dfs.blocksize | 268435456 | HDFS blocksize of 256MB for large file-systems. |
| dfs.namenode.handler.count | 100 | More NameNode server threads to handle RPCs from large number of DataNodes. |
| Parameter | Value | Notes |
|---|---|---|
| dfs.datanode.data.dir | Comma separated list of paths on the local filesystem of a DataNode where it should store its blocks. | If this is a comma-delimited list of directories, then data will be stored in all named directories, typically on different devices. |
| Parameter | Value | Notes |
|---|---|---|
| yarn.acl.enable | true / false | Enable ACLs? Defaults to false. |
| yarn.admin.acl | Admin ACL | ACL to set admins on the cluster. ACLs are of for comma-separated-usersspacecomma-separated-groups. Defaults to special value of * which means anyone. Special value of just space means no one has access. |
| yarn.log-aggregation-enable | false | Configuration to enable or disable log aggregation |
| Parameter | Value | Notes |
|---|---|---|
| yarn.resourcemanager.address | ResourceManager host:port for clients to submit jobs. | host:port If set, overrides the hostname set in yarn.resourcemanager.hostname. |
| yarn.resourcemanager.scheduler.address | ResourceManager host:port for ApplicationMasters to talk to Scheduler to obtain resources. | host:port If set, overrides the hostname set in yarn.resourcemanager.hostname. |
| yarn.resourcemanager.resource-tracker.address | ResourceManager host:port for NodeManagers. | host:port If set, overrides the hostname set in yarn.resourcemanager.hostname. |
| yarn.resourcemanager.admin.address | ResourceManager host:port for administrative commands. | host:port If set, overrides the hostname set in yarn.resourcemanager.hostname. |
| yarn.resourcemanager.webapp.address | ResourceManager web-ui host:port. | host:port If set, overrides the hostname set in yarn.resourcemanager.hostname. |
| yarn.resourcemanager.hostname | ResourceManager host. | host Single hostname that can be set in place of setting all yarn.resourcemanager*address resources. Results in default ports for ResourceManager components. |
| yarn.resourcemanager.scheduler.class | ResourceManager Scheduler class. | CapacityScheduler (recommended), FairScheduler (also recommended), or FifoScheduler |
| yarn.scheduler.minimum-allocation-mb | Minimum limit of memory to allocate to each container request at the Resource Manager. | In MBs |
| yarn.scheduler.maximum-allocation-mb | Maximum limit of memory to allocate to each container request at the Resource Manager. | In MBs |
| yarn.resourcemanager.nodes.include-path / yarn.resourcemanager.nodes.exclude-path | List of permitted/excluded NodeManagers. | If necessary, use these files to control the list of allowable NodeManagers. |
| Parameter | Value | Notes |
|---|---|---|
| yarn.nodemanager.resource.memory-mb | Resource i.e. available physical memory, in MB, for given NodeManager | Defines total available resources on the NodeManager to be made available to running containers |
| yarn.nodemanager.vmem-pmem-ratio | Maximum ratio by which virtual memory usage of tasks may exceed physical memory | The virtual memory usage of each task may exceed its physical memory limit by this ratio. The total amount of virtual memory used by tasks on the NodeManager may exceed its physical memory usage by this ratio. |
| yarn.nodemanager.local-dirs | Comma-separated list of paths on the local filesystem where intermediate data is written. | Multiple paths help spread disk i/o. |
| yarn.nodemanager.log-dirs | Comma-separated list of paths on the local filesystem where logs are written. | Multiple paths help spread disk i/o. |
| yarn.nodemanager.log.retain-seconds | 10800 | Default time (in seconds) to retain log files on the NodeManager Only applicable if log-aggregation is disabled. |
| yarn.nodemanager.remote-app-log-dir | /logs | HDFS directory where the application logs are moved on application completion. Need to set appropriate permissions. Only applicable if log-aggregation is enabled. |
| yarn.nodemanager.remote-app-log-dir-suffix | logs | Suffix appended to the remote log dir. Logs will be aggregated to ${yarn.nodemanager.remote-app-log-dir}/${user}/${thisParam} Only applicable if log-aggregation is enabled. |
| yarn.nodemanager.aux-services | mapreduce_shuffle | Shuffle service that needs to be set for Map Reduce applications. |
| Parameter | Value | Notes |
|---|---|---|
| yarn.log-aggregation.retain-seconds | -1 | How long to keep aggregation logs before deleting them. -1 disables. Be careful, set this too small and you will spam the name node. |
| yarn.log-aggregation.retain-check-interval-seconds | -1 | Time between checks for aggregated log retention. If set to 0 or a negative value then the value is computed as one-tenth of the aggregated log retention time. Be careful, set this too small and you will spam the name node. |
| Parameter | Value | Notes |
|---|---|---|
| mapreduce.framework.name | yarn | Execution framework set to Hadoop YARN. |
| mapreduce.map.memory.mb | 1536 | Larger resource limit for maps. |
| mapreduce.map.java.opts | -Xmx1024M | Larger heap-size for child jvms of maps. |
| mapreduce.reduce.memory.mb | 3072 | Larger resource limit for reduces. |
| mapreduce.reduce.java.opts | -Xmx2560M | Larger heap-size for child jvms of reduces. |
| mapreduce.task.io.sort.mb | 512 | Higher memory-limit while sorting data for efficiency. |
| mapreduce.task.io.sort.factor | 100 | More streams merged at once while sorting files. |
| mapreduce.reduce.shuffle.parallelcopies | 50 | Higher number of parallel copies run by reduces to fetch outputs from very large number of maps. |
| Parameter | Value | Notes |
|---|---|---|
| mapreduce.jobhistory.address | MapReduce JobHistory Server host:port | Default port is 10020. |
| mapreduce.jobhistory.webapp.address | MapReduce JobHistory Server Web UI host:port | Default port is 19888. |
| mapreduce.jobhistory.intermediate-done-dir | /mr-history/tmp | Directory where history files are written by MapReduce jobs. |
| mapreduce.jobhistory.done-dir | /mr-history/done | Directory where history files are managed by the MR JobHistory Server. |
The HDFS and the YARN components are rack-aware.
The NameNode and the ResourceManager obtains the rack information of the slaves in the cluster by invoking an API resolve in an administrator configured module.
The API resolves the DNS name (also IP address) to a rack id.
The site-specific module to use can be configured using the configuration item topology.node.switch.mapping.impl. The default implementation of the same runs a script/command configured using topology.script.file.name. If topology.script.file.name is not set, the rack id /default-rack is returned for any passed IP address.
Hadoop provides a mechanism by which administrators can configure the NodeManager to run an administrator supplied script periodically to determine if a node is healthy or not.
Administrators can determine if the node is in a healthy state by performing any checks of their choice in the script. If the script detects the node to be in an unhealthy state, it must print a line to standard output beginning with the string ERROR. The NodeManager spawns the script periodically and checks its output. If the script's output contains the string ERROR, as described above, the node's status is reported as unhealthy and the node is black-listed by the ResourceManager. No further tasks will be assigned to this node. However, the NodeManager continues to run the script, so that if the node becomes healthy again, it will be removed from the blacklisted nodes on the ResourceManager automatically. The node's health along with the output of the script, if it is unhealthy, is available to the administrator in the ResourceManager web interface. The time since the node was healthy is also displayed on the web interface.
The following parameters can be used to control the node health monitoring script in conf/yarn-site.xml.
| Parameter | Value | Notes |
|---|---|---|
| yarn.nodemanager.health-checker.script.path | Node health script | Script to check for node's health status. |
| yarn.nodemanager.health-checker.script.opts | Node health script options | Options for script to check for node's health status. |
| yarn.nodemanager.health-checker.script.interval-ms | Node health script interval | Time interval for running health script. |
| yarn.nodemanager.health-checker.script.timeout-ms | Node health script timeout interval | Timeout for health script execution. |
The health checker script is not supposed to give ERROR if only some of the local disks become bad. NodeManager has the ability to periodically check the health of the local disks (specifically checks nodemanager-local-dirs and nodemanager-log-dirs) and after reaching the threshold of number of bad directories based on the value set for the config property yarn.nodemanager.disk-health-checker.min-healthy-disks, the whole node is marked unhealthy and this info is sent to resource manager also. The boot disk is either raided or a failure in the boot disk is identified by the health checker script.
Typically you choose one machine in the cluster to act as the NameNode and one machine as to act as the ResourceManager, exclusively. The rest of the machines act as both a DataNode and NodeManager and are referred to as slaves.
List all slave hostnames or IP addresses in your conf/slaves file, one per line.
Hadoop uses the Apache log4j via the Apache Commons Logging framework for logging. Edit the conf/log4j.properties file to customize the Hadoop daemons' logging configuration (log-formats and so on).
Once all the necessary configuration is complete, distribute the files to the HADOOP_CONF_DIR directory on all the machines.
To start a Hadoop cluster you will need to start both the HDFS and YARN cluster.
Format a new distributed filesystem:
$ $HADOOP_PREFIX/bin/hdfs namenode -format <cluster_name>
Start the HDFS with the following command, run on the designated NameNode:
$ $HADOOP_PREFIX/sbin/hadoop-daemon.sh --config $HADOOP_CONF_DIR --script hdfs start namenode
Run a script to start DataNodes on all slaves:
$ $HADOOP_PREFIX/sbin/hadoop-daemon.sh --config $HADOOP_CONF_DIR --script hdfs start datanode
Start the YARN with the following command, run on the designated ResourceManager:
$ $HADOOP_YARN_HOME/sbin/yarn-daemon.sh --config $HADOOP_CONF_DIR start resourcemanager
Run a script to start NodeManagers on all slaves:
$ $HADOOP_YARN_HOME/sbin/yarn-daemon.sh --config $HADOOP_CONF_DIR start nodemanager
Start a standalone WebAppProxy server. If multiple servers are used with load balancing it should be run on each of them:
$ $HADOOP_YARN_HOME/sbin/yarn-daemon.sh start proxyserver --config $HADOOP_CONF_DIR
Start the MapReduce JobHistory Server with the following command, run on the designated server:
$ $HADOOP_PREFIX/sbin/mr-jobhistory-daemon.sh start historyserver --config $HADOOP_CONF_DIR
Stop the NameNode with the following command, run on the designated NameNode:
$ $HADOOP_PREFIX/sbin/hadoop-daemon.sh --config $HADOOP_CONF_DIR --script hdfs stop namenode
Run a script to stop DataNodes on all slaves:
$ $HADOOP_PREFIX/sbin/hadoop-daemon.sh --config $HADOOP_CONF_DIR --script hdfs stop datanode
Stop the ResourceManager with the following command, run on the designated ResourceManager:
$ $HADOOP_YARN_HOME/sbin/yarn-daemon.sh --config $HADOOP_CONF_DIR stop resourcemanager
Run a script to stop NodeManagers on all slaves:
$ $HADOOP_YARN_HOME/sbin/yarn-daemon.sh --config $HADOOP_CONF_DIR stop nodemanager
Stop the WebAppProxy server. If multiple servers are used with load balancing it should be run on each of them:
$ $HADOOP_YARN_HOME/sbin/yarn-daemon.sh stop proxyserver --config $HADOOP_CONF_DIR
Stop the MapReduce JobHistory Server with the following command, run on the designated server:
$ $HADOOP_PREFIX/sbin/mr-jobhistory-daemon.sh stop historyserver --config $HADOOP_CONF_DIR
Once all the necessary configuration is complete, distribute the files to the HADOOP_CONF_DIR directory on all the machines.
This section also describes the various Unix users who should be starting the various components and uses the same Unix accounts and groups used previously:
To start a Hadoop cluster you will need to start both the HDFS and YARN cluster.
Format a new distributed filesystem as hdfs:
[hdfs]$ $HADOOP_PREFIX/bin/hdfs namenode -format <cluster_name>
Start the HDFS with the following command, run on the designated NameNode as hdfs:
[hdfs]$ $HADOOP_PREFIX/sbin/hadoop-daemon.sh --config $HADOOP_CONF_DIR --script hdfs start namenode
Run a script to start DataNodes on all slaves as root with a special environment variable HADOOP_SECURE_DN_USER set to hdfs:
[root]$ HADOOP_SECURE_DN_USER=hdfs $HADOOP_PREFIX/sbin/hadoop-daemon.sh --config $HADOOP_CONF_DIR --script hdfs start datanode
Start the YARN with the following command, run on the designated ResourceManager as yarn:
[yarn]$ $HADOOP_YARN_HOME/sbin/yarn-daemon.sh --config $HADOOP_CONF_DIR start resourcemanager
Run a script to start NodeManagers on all slaves as yarn:
[yarn]$ $HADOOP_YARN_HOME/sbin/yarn-daemon.sh --config $HADOOP_CONF_DIR start nodemanager
Start a standalone WebAppProxy server. Run on the WebAppProxy server as yarn. If multiple servers are used with load balancing it should be run on each of them:
[yarn]$ $HADOOP_YARN_HOME/bin/yarn start proxyserver --config $HADOOP_CONF_DIR
Start the MapReduce JobHistory Server with the following command, run on the designated server as mapred:
[mapred]$ $HADOOP_PREFIX/sbin/mr-jobhistory-daemon.sh start historyserver --config $HADOOP_CONF_DIR
Stop the NameNode with the following command, run on the designated NameNode as hdfs:
[hdfs]$ $HADOOP_PREFIX/sbin/hadoop-daemon.sh --config $HADOOP_CONF_DIR --script hdfs stop namenode
Run a script to stop DataNodes on all slaves as root:
[root]$ $HADOOP_PREFIX/sbin/hadoop-daemon.sh --config $HADOOP_CONF_DIR --script hdfs stop datanode
Stop the ResourceManager with the following command, run on the designated ResourceManager as yarn:
[yarn]$ $HADOOP_YARN_HOME/sbin/yarn-daemon.sh --config $HADOOP_CONF_DIR stop resourcemanager
Run a script to stop NodeManagers on all slaves as yarn:
[yarn]$ $HADOOP_YARN_HOME/sbin/yarn-daemon.sh --config $HADOOP_CONF_DIR stop nodemanager
Stop the WebAppProxy server. Run on the WebAppProxy server as yarn. If multiple servers are used with load balancing it should be run on each of them:
[yarn]$ $HADOOP_YARN_HOME/bin/yarn stop proxyserver --config $HADOOP_CONF_DIR
Stop the MapReduce JobHistory Server with the following command, run on the designated server as mapred:
[mapred]$ $HADOOP_PREFIX/sbin/mr-jobhistory-daemon.sh stop historyserver --config $HADOOP_CONF_DIR
Once the Hadoop cluster is up and running check the web-ui of the components as described below:
| Daemon | Web Interface | Notes |
|---|---|---|
| NameNode | http://nn_host:port/ | Default HTTP port is 50070. |
| ResourceManager | http://rm_host:port/ | Default HTTP port is 8088. |
| MapReduce JobHistory Server | http://jhs_host:port/ | Default HTTP port is 19888. |


Implements tests controlling the false discovery rate (FDR) / family-wise error rate (FWER) for some copula models.
| Version: | 0.1.0 |
| Imports: | stats, copula, matrixStats, mvtnorm, stabledist, MCMCpack |
| Suggests: | knitr, rmarkdown, pbapply |
| Published: | 2018-04-06 |
| Author: | Jonathan von Schroeder [aut, cre], Taras Bodnar [aut], Jens Stange [aut] |
| Maintainer: | Jonathan von Schroeder <jvs at uni-bremen.de> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | MHTcop results |
| Reference manual: | MHTcop.pdf |
| Vignettes: |
Vignette Title Vignette Title Vignette Title |
| Package source: | MHTcop_0.1.0.tar.gz |
| Windows binaries: | r-devel: MHTcop_0.1.0.zip, r-release: MHTcop_0.1.0.zip, r-oldrel: MHTcop_0.1.0.zip |
| OS X binaries: | r-release: MHTcop_0.1.0.tgz, r-oldrel: MHTcop_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=MHTcop to link to this page.


Everything around us, including invisible things like the air, is made of atoms. Substances that only contain one type of atom are called elements; there are less than 100 natural elements on Earth.
The atoms of many different elements can combine together in different ways. This is why there are millions of substances on Earth. Substances that combine more than one type of atom are called compounds.
Atomic structure and electron shells
All atoms contain protons and electrons. They also contain neutrons, except the most common form of hydrogen, which only has 1 proton and 1 electron.
There are the same number of protons and electrons in a single atom. Protons have a charge +1 and electrons –1. Neutrons have no charge, 0. Overall these cancel each other out in a single atom; an atom’s overall charge is 0.
Protons and neutrons form the nucleus of an atom. The number of protons in an atom’s nucleus is its atomic number.
Electrons surround the nucleus at different energy levels, which are often represented as ‘shells’. The 1st shell contains up to 2 electrons; the 2nd and 3rd shells contain up to 18.
The electronic structure of an atom is a shorthand way of describing the arrangement of its electrons, e.g. sodium (Na) has 11 electrons, hence 2,8,1.
The Periodic Table
The Periodic Table was invented to show essential information about the elements. Each element has a symbol (e.g. Cu) and is arranged in order of its atomic number (Cu = 29. Copper has 29 protons and 29 electrons).
The vertical columns of the Periodic Table are the groups. The elements of each group all have similar properties. The thick zigzag line on the right of the Table divides metals (left) from non-metals (right).
There are 8 groups from left to right, numbered 1 to 7, then group 0. Each group’s number is the same as the number of electrons in the outer shell of each element in that group. So Group 2 elements (e.g. Mg, Ca) have two electrons in their outer shell.
Sometimes the Periodic Table also shows the mass number of elements: this is the total protons plus neutrons in an element. Knowing an element’s mass number and atomic number, we can calculate the number of neutrons it has, e.g. N (nitrogen) = 14 (mass number) minus 7 (atomic number) = 7 (neutrons).
Group 1, the ‘alkali metals’: These are highly reactive when combined with water or oxygen. They may fizz violently in water and lose their shine when exposed to oxygen (oxidation). To maintain their pure state they are kept under oil. To maintain their pure state they are kept under oil.
sodium + water ⇒
sodium hydroxide + hydrogen
Group 0 Elements: These are called ‘noble gases’ and have 8 electrons in their outer energy shell, except helium (He) which has 2.
Bonds and compounds
Bonds hold atoms together. Atoms either share electrons or transfer electrons to form bonds. Two or more atoms bonded together may form a molecule (e.g. O2), a compound (e.g. NaCl), or an ion (e.g. OH–).
Compounds are formed from ionic bonds between metals and non-metals. Electrons are transferred from one atom to another in this type of bond. One atom gains one or more electrons and one atom loses one or more electrons:
Molecules are formed from covalent bonds between atoms that are non-metals (e.g. methane, CH4). Each bond consists of shared electrons in overlaps of the atoms’ outer shells:
Ions are formed when metals react with non-metals. Metal ions always have a positive charge and non-metal ions always have a negative charge.
Ions in a compound attract each other and make its overall charge zero: Na+Cl–, Mg2+O2-. A compound’s chemical formula shows the lowest number of ions that make a neutral overall charge, e.g. CaCl2.


Welcome to my page! - Fingerprinting
Himarsha Jayanetti, CS595 - Spring 2021, ODU
This page is created to demonstrate Fingerprinting.


@(vrm: String, retentionCertId: String, transactionId: String, transactionTimestamp: String, keeperName: String, keeperAddress: String, replacementVRM: String, outstandingFees: Option[String], govUkContentId: String, keeperEmail: Option[String], businessDetailsModel: Option[BusinessDetailsModel], businessAddress: String, isKeeper: Boolean)(implicit lang: Lang)


NITF -- Advanced Driver Information
The NITF (National Imagery Transmission Format) driver in GDAL includes a number of advanced, and somewhat esoteric options not suitable for the general end user documentation for the driver. This information is collected here, and is primarily aimed at developers and advanced users.
CGM Segments
NITF files that have CGM data (that is segment type GR - graphics, or SY with an STYPE value of 'C') will make that information available as metadata in the CGM domain. The returned metadata will look something like:
SEGMENT_COUNT=1
SEGMENT_0_SLOC_ROW=25
SEGMENT_0_SLOC_COL=25
SEGMENT_0_SDLVL=2
SEGMENT_0_SALVL=1
SEGMENT_0_CCS_ROW=00025
SEGMENT_0_CCS_COL=00025
SEGMENT_0_DATA=\0!\0...
The SLOC_ROW and SLOC_COL values are the placement of the CGM object relative to the base (SALVL) image. The CCS_ROW/COL values are relative to the common coordinate system. The _SDLVL is the display level. The DATA is the raw CGM data with "backslash quotable" escaping applied. All occurrences of ASCII zero will be translated to '0', and all backslashes and double quotes will be backslashed escaped. The CPLUnescapeString() function can be used to unescape the data into binary format using scheme CPLES_BackslashQuotable.
To add CGM data to a NITF image, you can pass creation options in the following format:
CGM=SEGMENT_COUNT=1
CGM=SEGMENT_0_SLOC_ROW=25
CGM=SEGMENT_0_SLOC_COL=25
CGM=SEGMENT_0_SDLVL=2
CGM=SEGMENT_0_SALVL=1
CGM=SEGMENT_0_DATA=\0!\0...
Notice that passing CGM as creation options will overwrite existing CGM segment read in the CGM metadata domain.
While GDAL does not support parsing or rendering CGM data, at least one user has found the UniConverter library useful for this purpose.
Multi-Image NITF Files
NITF files with more than one image segment (IM) will present the image segments as subdatasets. Opening a multiple NITF file by filename will provide access to the first image segment. The subdataset metadata for a 3 image NITF file might look like:
Subdatasets:
SUBDATASET_1_NAME=NITF_IM:0:multi_image_jpeg_2.0.ntf
SUBDATASET_1_DESC=Image 1 of multi_image_jpeg_2.0.ntf
SUBDATASET_2_NAME=NITF_IM:1:multi_image_jpeg_2.0.ntf
SUBDATASET_2_DESC=Image 2 of multi_image_jpeg_2.0.ntf
SUBDATASET_3_NAME=NITF_IM:2:multi_image_jpeg_2.0.ntf
SUBDATASET_3_DESC=Image 3 of multi_image_jpeg_2.0.ntf
In this case opening "multi_image_jpeg_2.0.ntf" directly will give access to "NITF_IM:0:multi_image_jpeg_2.0.ntf". To open the others use the corresponding subdataset names. The Subdataset mechanism is generic GDAL concept discussed in the Raster Data Model document.
Text Segments
NITF files that have text segments (that is segment type TX) will make that information available as metadata in the TEXT domain. The returned metadata will look something like:
HEADER_0=TE<PHONE_NUMBER>6151629xxxxxxxxxxxxxxxxxxxxxxxxxxx
DATA_0=This is test text file 01.
HEADER_1=TE<PHONE_NUMBER>6151629xxxxxxxxxxxxxxxxxxxxxxxxxxx
DATA_1=This is test text file 02.
HEADER_2=TE<PHONE_NUMBER>6151629xxxxxxxxxxxxxxxxxxxxxxxxxxx
DATA_2=This is test text file 03.
HEADER_3=TE<PHONE_NUMBER>6151629xxxxxxxxxxxxxxxxxxxxxxxxxxx
DATA_3=This is test text file 04.
HEADER_4=TE<PHONE_NUMBER>6151629xxxxxxxxxxxxxxxxxxxxxxxxxxx
DATA_4=This is test text file 05.
The argument to DATA_n is the raw text of the n'th (zero based) text segment with no escaping of any kind applied.
The TEXT segment header data is preserved in HEADER_n metadata item. The CreateCopy() method on the NITF driver also supports creating text segments on the output file as long as the input file has metadata in the TEXT domain as defined above.
To add TEXT data to a NITF image, you can also pass creation options in the following format:
TEXT=HEADER_0=TE<PHONE_NUMBER>6151629xxxxxxxxxxxxxxxxxxxxxxxxxxx
TEXT=DATA_0=This is test text file 01.
TEXT=HEADER_1=TE<PHONE_NUMBER>6151629xxxxxxxxxxxxxxxxxxxxxxxxxxx
TEXT=DATA_1=This is test text file 02.
Notice that passing TEXT as creation options will overwrite existing text segment read in the TEXT metadata domain.
TREs
NITF files with registered (or unregistered?) extensions on the file header, or the referenced image header will make them available in a raw form in metadata via the TRE domain. The TRE domain will hold one metadata item per TRE which will have the name of the TRE as the name, and the data of the TRE as the contents. The data contents will be "backslash escaped" like CGM data above.
In case of multiple occurrences of the same TRE, the second occurrence will be named "TRENAME_2", the third "TRENAME_3" where TRENAME is the TRE name.
Metadata (TRE):
GEOPSB=MAPM World Geodetic System 1984
WGE World Geodetic System 1984
WE Geodetic
GEODMean Sea
MSL<PHONE_NUMBER>00000
0000
PRJPSB=Polar Stereographic
PG2-00090.00000250000039.99999884000000000000000000000000000000
MAPLOB=M<PHONE_NUMBER>-000003067885.8-000002163353.8
TREs as xml:TRE
All TREs found in file and matching one of the TRE description of the nitf_spec.xml in GDAL data directory will be reported as XML content in the xml:TRE metadata domain.
Metadata (xml:TRE):
<tres>
<tre name="RSMDCA" location="des TRE_OVERFLOW">
<field name="IID" value="2_8" />
<field name="EDITION" value="1101222272-2" />
<field name="TID" value="1101222272-1" />
<field name="NPAR" value="06" />
<field name="NIMGE" value="001" />
<field name="NPART" value="00006" />
<repeated name="IMAGE" number="1">
<group index="0">
<field name="IID" value="2_8" />
<field name="NPARI" value="06" />
</group>
</repeated>
<field name="XUOL" value="-2.42965895449297E+06" />
<field name="YUOL" value="-4.76049894293300E+06" />
<field name="ZUOL" value="+3.46898407315533E+06" />
<field name="XUXL" value="+8.90698769551156E-01" />
<field name="XUYL" value="+2.48664813021570E-01" />
<field name="XUZL" value="-3.80554217799520E-01" />
<field name="YUXL" value="-4.54593996792805E-01" />
<field name="YUYL" value="+4.87215943350720E-01" />
<field name="YUZL" value="-7.45630553709282E-01" />
<field name="ZUXL" value="+0.00000000000000E+00" />
<field name="ZUYL" value="+8.37129879594448E-01" />
<field name="ZUZL" value="+5.47004172461403E-01" />
[...]
<repeated name="DERCOV" number="21">
<group index="0">
<field name="DERCOV" value="+5.77388827727787E+04" />
</group>
[...]
<group index="20">
<field name="DERCOV" value="+1.14369570920252E-02" />
</group>
</repeated>
</tre>
<tre name="RSMECA" location="des TRE_OVERFLOW">
[...]
</tre>
<tre name="RSMIDA" location="des TRE_OVERFLOW">
[...]
</tre>
<tre name="RSMPCA" location="des TRE_OVERFLOW">
[...]
</tre>
</tres>
TRE creation from hexadecimal data
TRE data can be added to a newly created NITF file in hexadecimal format to encode binary data such as unsigned int or floating point types. The hexadecimal TRE creation option is supplied as "TRE=HEX/<tre_name>=<hex_tre_data>" or "FILE_TRE=HEX/<tre_name>=<hex_tre_data>
# Encode "ABC" as 3 bytes of hex data, "414243"
ds = gdal.GetDriverByName('NITF').Create('/vsimem/file.ntf', 1, 1, options=["TRE=HEX/TSTTRE=414243"])
TRE creation as TRE_OVERFLOW DES
The following example shows how to create a CSEPHA TRE as a TRE_OVERFLOW DES:
DESOFLW = "IXSHD "
DESITEM = "001" # index (starting at 1) of the image to which this TRE_OVERFLOW applies too
DESSHL = "0000"
des_header = "02U" + " " * 166 + DESOFLW + DESITEM + DESSHL
# Totally dummy content for CSEPHA data
EPHEM_FLAG = " " * 12
DT_EPHEM = " " * 5
DATE_EPHEM = " " * 8
T0_EPHEM = " " * 13
NUM_EPHEM = "001"
EPHEM_DATA = " " * (1 * (3 * 12))
CSEPHA_DATA = EPHEM_FLAG + DT_EPHEM + DATE_EPHEM + T0_EPHEM + NUM_EPHEM + EPHEM_DATA
des_data = "CSEPHA" + ("%05d" % len(CSEPHA_DATA)) + CSEPHA_DATA
des = des_header + des_data
ds = gdal.GetDriverByName("NITF").Create(
"/vsimem/nitf_DES.ntf",
1,
1,
options=["RESERVE_SPACE_FOR_TRE_OVERFLOW=YES",
"DES=TRE_OVERFLOW=" + des],
)
ds = None
Note the use of the RESERVE_SPACE_FOR_TRE_OVERFLOW=YES creation option to reserve space for the IXSOFL field in the image subheader pointed by DESITEM.
Data Extension Segments (xml:DES)
Data Extension Segments (DESs) are user-defined metadata extensions to the NITF format. The DES metadata is available through the xml:DES metadata domain. The xml:DES domain returns an XML string with standard and user-defined DES fields in plain text, and the user-defined DES data as Base64 encoded text. The following is an example XML structure:
<des_list>
<des name="TEST">
<field name="NITF_DESVER" value="02" />
<field name="NITF_DECLAS" value="U" />
<field name="NITF_DESCLSY" value="" />
[...]
<field name="NITF_DESCTLN" value="" />
<field name="NITF_DESSHL" value="0004" />
<field name="NITF_DESSHF" value="ABCD" />
<field name="NITF_DESDATA" value="MTIzNDU2Nzg5MA==" />
</des>
</des_list>
Raw File / Image Headers
In some cases application may need to recover very specific information from the image or file headers that isn't normally available as metadata. In this case it is possible to query the "NITF_METADATA" metadata domain. The complete file and image headers will be returned as metadata in base64 encoded format. Something like:
Metadata (NITF_METADATA):
NITFFileHeader=002213 TklURjAyLjAwMDEgICAgVTIxN0cwSjA...
NITFImageSubheader=439 SU1NaXNzaW5nIElEMjUxNTI1NTlaTU...
Note that the ascii encoded numeric values prefixing the base64 encoded header is the length (decoded) in bytes, followed by one space.
Writing multiple Image Segments
(GDAL >= 3.4)
Writing a NITF file with several image segments is done with the APPEND_SUBDATASET=YES
creation option but requires some care.
The file must be created with the content of the first image segment with the NUMI
creation option to specify the total number of image segments and optionally with
the NUMDES
creation option with the number of DE segments.
TREs that apply to the whole file should also be specified at that stage.
The APPEND_SUBDATASET
creation option must NOT be specified.
Subsequent images are appended with the APPEND_SUBDATASET=YES
creation option.
The IDLVL
, IALVL
, ILOCROW
and ILOCCOL
creation option may be specified.
On the last image segment, the DES content, if any must be specified with the DES
creation option.
Note
The file will only be valid if all NUMI images have been actually written.
Example:
gdal_translate first_image.tif dest.tif -co NUMI=3 -co NUMDES=1
gdal_translate second_image.tif dest.tif -co APPEND_SUBDATASET=YES -co IC=C3 -co IDLVL=2
gdal_translate third_image.tif dest.tif -co APPEND_SUBDATASET=YES -co IC=C8 -co IDLVL=3 -co "DES=DES1={des_content}"


假設 arc.dev 有 API 為 /api/is_user_logged_in
現在在 codementor.io 如何驗證這個使用者是 Arc 會員？
Access to fetch at 'https://arc.dev/api/is_user_logged_in' from origin 'https://codementor.io' has been blocked by CORS policy:
No 'Access-Control-Allow-Origin' header is present on the requested resource.
If an opaque response serves your needs, set the request's mode to 'no-cors' to fetch the resource with CORS disabled.
沒有 Access-Control-Allow-Origin 解決不了的問題。
如果有，那就 Access-Control-Allow-Origin: '*' ?
Fetch has been blocked by CORS policy: The value of the 'Access-Control-Allow-Origin' header in the response must not be the wildcard '*' when the request's credentials mode is 'include'. 🫠🫠🫠
Refused to display ' https://arc.dev/' in a frame because it set 'X-Frame-Options' to 'sameorigin'.
This set-cookie was blocked because it has the samesite=lax attribute but come from cross-site response witch was not the response to top-level navigation
想請你評估，把 Widget 從 iframe 改成 render 在客戶頁面上，要做哪些調整。


mds2d_5k_100.tsv
5k points with clusters and labels
750 points with clusters
Use drag and drop to navigate and your mouse wheel to zoom


Born on 7th of December, 1987 as the son to Political Activist Lal Singh Tanwar and grandson to former Minister, Haryana Education Board Chairman and one of the most prominent Rajput leader in Haryana Late Thakur Bir Singh, Abhijeet had since his childhood thought of following their footsteps and lead the people of the nation towards a better future.
Working towards my goal he got his school education focusing towards History, Civics and Public Administration and further studied Law to strengthen my understanding of the constitution.
Since then he has fought for justice for the needy and has expanded boundaries towards assisting the ones who are finding it tough to make their ends meet. Becoming the President of Youth Congress in Bhiwani gave him the required reinforcements to help every single person around him. Going from village to village, town to town and city to city and understanding the problems that the people have to face in their day to day lives and then most importantly working upon solving them. All this under the supervision and guidance of his superiors in the Indian National Congress.
He has been providing cheap and affordable education at his own school (Sanatan Dharam Senior Secondary School) to which his wife is the Director. To aid the lives of the underprivileged I alongside my wife am running an NGO named Pragati.
It has always been in his nature to work upon development. He has always been a patriot to the land which given him so much and by doing all what he has been doing with the help of the INC he believes in giving back as much as he can.
Feel free to leave a comment, suggestion, or queries at abhijeetlalsingh@gmail.com


--- layout: post title: "Pure times" description: "How to interact with the system clock using strict functional programming." date: 2017-06-27 9:11 UTC tags: [Software Design, F#, Haskell, Functional Programming, Article Series] --- {% include JB/setup %}
{{ page.description }}
A couple of years ago, I published an article called Good times with F#. Unfortunately, that article never lived up to my expectations. Not that I don't have a good time with F# (I do), but the article introduced an attempt to model execution durations of operations in a functional manner. The article introduced a Timed<'a>
generic type that I had high hopes for.
Later, I published a Pluralsight course called Type-Driven Development with F#, in which I used Timed<'a>
to implement a Polling Consumer. It's a good course that teaches you how to let F#'s type system give you rapid feedback. You can read a few articles that highlight the important parts of the course.
There's a problem with the implementation, though. It's not functional.
It's nice F# code, but F# is this friendly, forgiving, multi-paradigmatic language that enables you to get real work done. If you want to do this using partial application as a replacement for Dependency Injection, it'll let you. It is, however, not functional.
Consider, as an example, this function:
// (Timed<TimeSpan list> -> bool) -> (unit -> Timed<'a>) -> Timed<TimeSpan list> // -> State let transitionFromNoMessage shouldIdle idle nm = if shouldIdle nm then idle () |> Untimed.withResult nm.Result |> ReadyState else StoppedState nm.Result
The idle
function has the type unit -> Timed<'a>
. This can't possibly be a pure function, since a deterministic function can't produce a value from nothing when it doesn't know the type of the value. (In F#, this is technically not true, since we could return null for all reference types, and 'zero' for all value types, but even so, it should be clear that we can't produce any useful return value in a deterministic manner.)
The same argument applies, in weaker form, to the shouldIdle
function. While it is possible to write more than one pure function with the type Timed<TimeSpan list> -> bool
, the intent is that it should look at the time statistics and the current time, and decide whether or not it's 'safe' to poll again. Getting the current time from the system clock is a non-deterministic operation.
Ever since I discovered that Dependency Injection is impossible in functional programming, I knew that I had to return to the Polling Consumer example and show how to implement it in a truly functional style. In order to be sure that I don't accidentally call an impure function from a 'pure' function, I'll first rewrite the Polling Consumer in Haskell, and afterwards translate the Haskell code to F#. When reading, you can skip the Haskell article and go directly to the F# article, or vice versa, if you like.
Next: Pure times in Haskell.


Translator: andavid
Author: labuladong
The valid of parentheses is a very common and practical problem. For example, the editor and the compiler would check the code we wrote whether the parentheses were correctly closed. As our code might contain the characters ‘(’, ‘)’, ‘{’, ‘}’, ‘[’ and ’]’, it’s a little bit difficult to determine.
This article is on an algorithm problem about valid parentheses. I believe it will help you to come to a better understanding of stack.
The problem is very simple. Given a string containing just the characters ‘(’, ‘)’, ‘{’, ‘}’, ‘[’ and ’]’, determine if the input string is valid.
Input: "()[]{}"
Output: true
Input: "([)]"
Output: false
Input: "{[]}"
Output: true
Before solving this problem, let’s lower the difficulty. If the given string contains only parentheses, i.e. ‘(’ and ‘)’, how to check if the string is valid?
As the string contains only parentheses, if the string is valid we must make sure:
every )
’s left must have a corresponding (
.
For example: ()))((
, the two right parenthesis in the middle have no corresponding left parenthesis, so this string is not valid.
We can write out the algorithm according to this thought.
bool isValid(string str) {
// the number of left parenthesis to be matched
int left = 0;
for (char c : str) {
if (c == '(')
left++;
else // encounter right parenthesis
left--;
if (left < 0)
return false;
}
return left == 0;
}
If the string contains only one parentheses, the algorithm above will work. As for the case with three kind of parentheses, At first I imitate this thought, define three variables left1
, left2
and left3
, each handle one parentheses. Although we need to write a lot of if-else branches, it seems to solve the problem.
But actually, it doesn’t work. For example, (())
is valid in the case with one parentheses, while [(])
is not valid in the case with multiple parentheses.
Only recording the number of times that left parenthesis occurs is not enough to make the right judgments. We need to increase the information we stored. We can use stack to imitate similar thoughts.
Stack is a FILO(first in last out) data structure. It’s very useful in dealing with parentheses.
In this problem, we use a left
stack instead of the left
variable before. Having left parenthesis into stack, as for right parenthesis, find the recent left parenthesis in the stack, and then check if matched..
bool isValid(string str) {
stack<char> left;
for (char c : str) {
if (c == '(' || c == '{' || c == '[')
left.push(c);
else // character c is right parenthesis
if (!left.empty() && leftOf(c) == left.top())
left.pop();
else
// not match with recent left parenthesis
return false;
}
// whether all left parenthesis are matched
return left.empty();
}
char leftOf(char c) {
if (c == '}') return '{';
if (c == ')') return '(';
return '[';
}


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1 October 2018
I was asked to "buy butter. See if they have eggs. If they do, buy 10" I returned with 10 packs of butter because they had eggs.
In this post I will go deeper into some of the interpunction that is used in JavaScript (JS) and what they get used for.
| parentheses | () | Function - Whatever you put into the parentheses can be used as a placeholder to pass along into that piece of automation. Example: I can tell you to go to the supermarket and get a bottle of milk and some eggs. Or I can write these down on a piece of paper and give it to you to bring to the supermarket.
Loop - within the parentheses you will describe what the conditions for that loop will be in order for it to work. Example: When making instant noodles. You already have put the dried noodles in a bowl and you will need to boil the water first before you add water to it. If you do not do this, the instant noodles will not be instant. |
|---|---|---|
| brackets | [] | This is to highlight a collection of data (array). Think of it like a notebook in which you can write something down on page 1, 2, 3, etc. That pagenumber can then be used as a reference to the information it contains |
| braces | {} | Within the braces you will add piece of automation (code) to which will be "run" when it is called upon |
| single quotes | '' | Single quotes can be used if you want to describe something in a literal sense if it is something not natural in the code. When typing the code, often you will use something which already exists within the programming language. However when this doesn't exist quotes (or double quotes) can be used. Often this will be used for names or spaces if there are multiple words involved but they are a part of 1 being. When using Single quotes, it will have an opening and a closing single quote and cannot be interchanged with double quotes. IE you cannot close a single quote with a double quote. |
| double quotes | "" | Double quotes can be used if you want to describe something in a literal sense if it is something not natural in the code. When typing the code, often you will use something which already exists within the programming language. However when this doesn't exist quotes (or double quotes) can be used. Often this will be used for names or spaces if there are multiple words involved but they are a part of 1 being. When using double quotes, it will have an opening and a closing double quote and cannot be interchanged with single quotes. IE you cannot close a single quote with a double quote. |
| Semicolon | ; | Semicolon used to be required to show the code that you have reached the end of some code, like a period at the end of a sentence. However as it is not required sometimes you do need to add it to highlight the end of a piece of code: Examples here |


My thoughts are never this organized.
Tech :: Git Wrecked
Culture :: Hell's Kitchen
Tech :: Margin Jargon
Tech :: Hashes & Arrays
Culture :: ART!
Tech :: "How to Use a Map"
Culture :: #TALKPAY
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Camon Digital Camera NGN50,000 Best 21st century digital camera by Camon
Complete kitchen sets NGN350,000 best kitchen design ever in all its awesomeness
Modern sitting room NGN500,000 Classic white parlour design, Classic!


#include <Key.h>
◆ Key()
| Fling::Key::Key |
( |
const std::string & |
t_Name, |
|
|
UINT32 |
t_KeyCode |
|
) |
| |
|
inlineexplicit |
◆ ~Key()
◆ GetCode()
| UINT32 Fling::Key::GetCode |
( |
| ) |
const |
|
inline |
◆ GetName()
| const std::string& Fling::Key::GetName |
( |
| ) |
const |
|
inline |
◆ GetState()
◆ IsPressed()
| bool Fling::Key::IsPressed |
( |
| ) |
const |
|
inline |
◆ IsUp()
| bool Fling::Key::IsUp |
( |
| ) |
const |
|
inline |
◆ SetState()
| void Fling::Key::SetState |
( |
KeyState |
t_NewState | ) |
|
|
inline |
Set the state of this key.
◆ m_KeyCode
The key code that is mapped to this key to the current platform.
◆ m_Name
| std::string Fling::Key::m_Name |
|
private |
Name of this key binding.
◆ m_State
The current state of this key.
Updated when input is polled
The documentation for this class was generated from the following file:
- FlingEngine/Core/inc/Input/Key.h


Click on an optgroup's heading to toggle the checked state of the entire group.
Option 1 Option 2 Option 3 Option 4 Option 5 Option 6 Option 7


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Flot Widget Examples with liftweb
Same as the original jQuery Flot examples but using Lift.
Notes:
- The interacting, selection and time examples show how to add javascript logic
- The visitors example show how to create an overview without javascript client code.
- The comet example shows how to refresh the graph from a comet actor


catmull_spline generates a Catmull-Rom spline from a series of 2D or 3D coordinates.
catmull_spline_fld generates a Catmull-Rom spline from a 2D or 3D input field.
Input Ports
catmull_splinecatmull_spline_fld
Name Type Description in float array coordinates of nodes to be used to generate the spline
Name Type Description in_fld mesh+data input_field to be used to generate the spline Parameters
The following lists all of the parameters found in the parameter block CatmullParams, which are accessed by the modules CatmullSplineCore and CatmullSplineFldCore, and the UI Macros CatmullUI and CatmullFldUI.
Name Type Description UI Control line_type enum specifies if the spline is closed or open. Radio Buttons spline_type enum specifies which spline to use. none points_added int numbers of points added between two original points. Slider smoothness float 'Smoothness' of generated spline. Slider Output Ports
Name Type Description out_data float array coordinates of spline nodes out_mesh mesh spline represented as a polyline mesh out_obj DataObject Default Renderable Object
catmull_spline is a user module that takes a series of either 2D or 3D floating point coordinates and generates a spline that passes through all the points with C1 (continuous first parametric derivative) and G1 (slopes equal at joints) continuity. The spline is then output as a similar series of coordinates, a polyline mesh and a directly renderable DataObject. Parameters are provided so that the number of points output and the smoothness of the spline can be altered. A user interface is provided so that these parameters can be easily altered.
&in
Reference to an array of floating point coordinates which are to be used as the nodes that the spline curve connects. Coordinates can be either 2 or 3 dimensional and should be represented by arrays of the form [n][2] and [n][3] respectively, where n is the number of nodes. A spline curve is then generated that connects the nodes together in the order given.
line_type
A member of the CatmullParams parameter block group, this enumeration is used to specify whether the spline curve should be a complete closed curve or whether the curve should be left open. The enumeration is of the form shown below:
enum line_type { choices => {"closed","open"}; } = "closed";
spline_type
A member of the CatmullParams parameter block group, this enumeration is used to specify which type of spline algorithm should be used to generate the spline curve. Currently the module only supports the use of the Catmull-Rom spline. However in future the module maybe enhanced to support other splines. The enumeration is of the form shown below:
enum spline_type { choices => {"CatmullRom"}; };
points_added
A member of the CatmullParams parameter block group, this int value is used to specify the number of points that should be added between each pair of original points to create the spline curve. Increasing this value will result in a more accurate representation of the generated spline.
smoothness
A member of the CatmullParams parameter block group, this float value is used to specify the 'smoothness' of the generated spline curve. In this case the smoothness of a spline curve is defined as now closely it matches the original data. Normally this parameter should have a value between 0 and 1. As the smoothness approaches 0 the generated spline matches the original line more closely. If smoothness is given a value outside of the range 0 to 1, the resulting line will tend to be baroque.
out_data
The most primitive output field of the catmull_spline macro. This output contains the generated spline represented as a floating point array of coordinates. The resultant array is of the same form as the input array. Therefore for a 3D spline the resultant array would have the following dimensions [out_size][3] where out_size is the number of coordinate points generated by the spline calculation.
out_mesh
The spline curve represented as a polyline mesh.
out_obj
The directly renderable output field of the catmull macro. This contains a DataObject object that can be rendered by the standard data viewers. The Data Object is generated within the same module as the polyline mesh output.
The low-level CatmullSplineCore module is used in this Functional Macro CatmullSplineFunc. This macro is used by the catmull_spline user macro. The user macro also uses the User Interface macro CatmullUI.
Four example applications are provided. The CatmullSpline2DEg application takes an array of 8 2D coordinates and smoothes the polyline between them by calculating a Catmull-Rom spline curve. Similarly the CatmullSpline3DEg application takes 8 3D coordinates the smoothes the line between them. CatmullSplineFldEg takes a 3D field (Mesh+Node_Data) and smoothes the line between the field coordinates interpolating the node data values.
The PathSmoothingEg application reads the hydrogen data-set, generates a surface and then allows the user to setup a 3D path through that data-set. The camera can then by moved along the path, hence allowing the user to 'fly' through the data. To improve the sense of movement the camera path is smoothed by the CatmullSplineFunc macro.
The PathSmoothingEg application should be used by first resetting, normalizing and centering the Top object. After doing this the user should see a surface with a path marked along it. Pressing the 'Play Frames' button will start the camera moving along the path. It will stop after one circuit. To return to a overview the camera and object views both have to be reset. The user interface allows the smoothness, number of points added and visibility of both the path and the key points to be altered. The application also allows the a new path to created. First the user should press the 'Reset All' button to clear all existing key points. Next adding control points should be enabled by setting the Collect Points toggle. Once this is done control points can be added by CTRL-clicking on the surface. The CatmullSplineFunc macro will add extra points in between control points to smooth the new path.
xp_comm_proj/catmull/ctmlmods.v contains the CatmullParams group and the CatmullSplineCore module V definitions.
xp_comm_proj/catmull/ctmlmacs.v contains the V definitions of the catmull_spline User Macro, the CatmullSplineFunc Functional Macro and the CatmullUI UI Macro.
xp_comm_proj/catmull/ctmlapps.v contains the V definitions of the example applications CatmullSpline2DEg, CatmullSpline3DEg and PathSmoothingEg.
The CatmullMacs library inherits its process. As this library contains no procedural code, the process is not important. The low-level CatmullSplineCore module, executes under the process specified in its library, not the process defined in the high-level library.
Mario Valle
Andrew Dodd Paul G. Lever Dr Federico Gamba
CatmullParams, CatmullUI, CatmullSplineFunc and CatmullSplineCore & CatmullSplineFldCore.


Introduction
I decided to do my final project as an interpretive video. I went through "Blue Cathedral" and kept track of common motifs, moods, melodies, etc. I then used Adobe Premier to splice together Youtube videos that represented my interpretation of the music.
I also created this blog website. I wrote Javascript code so that I can reference a section of the song which you can play by clicking. Try it 3:14-3:18.
Video Walkthrough
At the beginning of the piece 0:00-0:14 we hear faint bells. Their notes linger and build on top of each other to create harmony. I decided to visualize this with colored water droplets, stacking multiple videos which add on to each other.
These water droplets can also express the mood or represent a motif. For example, the red water droplet appears at times where the music feels militaristic, such as 3:10-3:15. We hear imposing brass instruments playing in a minor scale. It resembles other military-like / march music we’ve studied, such as Beethoven’s ‘Eroica’ or Mahler’s “Wo Die Schönen Trompeten Blasen.” While neither of these pieces are explicitly considered military music, we’ve connected “Eroica” to a triumphant narrative about Napoleon and have learned about how Mahler’s compositions were affected by him growing up near military bases. I also use the red water droplet at times where the melody spikes to be very high pitched, such as 1:06-1:11 or 3:14-3:18. This is usually played by the flute or strings.
After the bells subside, the strings start to play a sighing pattern, playing two alternating notes. This ties in well to the water droplets, which have a long upwards trail after they first land in the water. The water droplets represent the quick sudden bell sounds opening up for the long, reaching strings melody.
The section after this starts with a solo flute playing a slow, high pitched melody. It is accompanied by strings that make the same sighing pattern, visualized again with droplets. I decided to visualize this section as a river because I wanted a way to show the progression of this piece from start to finish. The video is split into three “river” sections: the mid-day river, which introduces melodies, the dusk river, where the energy of the piece climaxes, and the night-time river, where the piece comes to a slow end. I also did it to reference the intentions of the composer. In her own words:
I began writing this piece at a unique juncture in my life and found myself pondering the question of what makes a life. The recent loss of my younger brother, Andrew Blue, made me reflect on the amazing journeys that we all make in our lives, crossing paths with so many individuals singularly and collectively, learning and growing each step of the way. This piece represents the expression of the individual and the group... our inner travels and the places our souls carry us, the lessons we learn, and the growth we experience. In tribute to my brother, I feature solos for the clarinet (the instrument he played) and the flute (the instrument I play). Because I am the older sibling, it is the flute that appears first in this dialog. At the end of the work, the two instruments continue their dialogue, but it is the flute that drops out and the clarinet that continues on in the upward progressing journey.I see this as similar to Chopin’s “Ballade” because while they’re program music, they are trying to portray an abstract concept rather than a specific one. For example, Liszt’s “Sposalizio” is meant to represent a specific wedding from a Raphael painting, while Chopin’s “Ballade” is only meant to convey the abstract idea of a bard telling a tale. Higdon aimed to represent the different journeys through life from start to finish, which still allowed her program music to have a free range of interpretability.
At 1:36-1:45 we hear a melody, first played by flute, then strings. It holds one note for a long time while another instrument plays around it. The melody of the other instrument moves in step but remains relatively constant. I visualized this with flying birds, who both “glide” like the constant note and “flap” like the moving melody.
A crescendo starts at 3:04-3:10 which gives way to the aforementioned militaristic brass melody 3:14-3:23. A clarinet melody goes from a major key to a minor key 4:30-4:45 and sounds slightly more dissonant. At 5:30-5:35 we hear a very high pitched flute melody, which I visualized as a crying child. This melody is quickly accompanied by a low-pitched cello and clarinet, which I represented as an adult coming to cradle the baby.
After a repeat of the militaristic theme, we hear a trumpet melody moving up and down in step very quickly 8:15-8:25. The melody is repetitive and the trumpets simply go up and down the scale, reversing direction each time they complete it. That’s why I visualized it as a man going up and down stairs with the video occasionally playing in reverse.
At 9:41-10:00 there are very few instruments playing. Mostly, it is a solo flute or strings. I visualized this as a lone dancer. The piece then quiets down into a slow end, which I portrayed as the final nighttime river fading to black.


Render Rectangle
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Click the buttons to see your render functions at work!


In order to make the instance conform to the class Cto, local slots specified by the class Cto that are not specified by the class Cfrom are added, and local slots not specified by the class Cto that are specified by the class Cfrom are discarded.
The values of local slots specified by both the class Cto and the class Cfrom are retained. If such a local slot was unbound, it remains unbound.
The values of slots specified as shared in the class Cfrom and as local in the class Cto are retained.
This first step of the update does not affect the values of any shared slots.


Welcome to the Tokenly API documentation collection.
Visit the API docs using the links at the top.
The Tokenly Music API authorizes users and loads song stream information.
Tokenly Music API Documentation
Public Swapbot information and control Swapbots for authorized users.
Global accounts system and Token Controlled Access
Public bitcoin and counterparty wallet API methods.
Mass token distributions & payment routing
E-commerce and payment processing


Contact me to discuss your project
In order to get great results, it is always good idea to discuss the details about your project, before we get started.
What I offer
- From a wireframe/psd to a fully functional custom Wordpress theme.
- Responsive, light and fast loading theme
- Cross browser optimization
The process
After discussing your project needs, let's set the milestones for the project timeline. Let's keep a light communication throughout the project in order to reach your goals with feedback and testing.
About me
I have been working on Wordpress based websites with Woocommerce for years. I have had an opportunity to work on different projects for software companies, startups as well as use Wordpress as a solution for diverse client work.
In addition, I am a passionate IT professional with a diverse experience. I am inspired to work on new projects, to contribute and to go an extra mile to reach the goals.


Instructions: select a file you want to parse for binary output. It will then be output to your screen in hex format.