public ServiceHub
A service hub simply vends references to the other services a node has. Some of those services may be missing or mocked out. This class is useful to pass to chunks of pluggable code that might have need of many different kinds of functionality and you don't want to hard-code which types in the interface.
Any services exposed to flows (public view) need to implement SerializeAsToken or similar to avoid their internal state from being serialized in checkpoints.
| Modifier and Type | Interface and Description |
|---|---|
static class |
ServiceHub.DefaultImpls
A service hub simply vends references to the other services a node has. Some of those services may be missing or
mocked out. This class is useful to pass to chunks of pluggable code that might have need of many different kinds of
functionality and you don't want to hard-code which types in the interface.
|
| Modifier and Type | Method and Description |
|---|---|
java.time.Clock |
getClock() |
IdentityService |
getIdentityService() |
KeyManagementService |
getKeyManagementService() |
java.security.KeyPair |
getLegalIdentityKey()
Helper property to shorten code for fetching the Node's KeyPair associated with the
public legalIdentity Party from the key management service.
Typical use is during signing in flows and for unit test signing.
|
NodeInfo |
getMyInfo() |
NetworkMapCache |
getNetworkMapCache() |
MessagingService |
getNetworkService() |
java.security.KeyPair |
getNotaryIdentityKey()
Helper property to shorten code for fetching the Node's KeyPair associated with the
public notaryIdentity Party from the key management service. It is assumed that this is only
used in contexts where the Node knows it is hosting a Notary Service. Otherwise, it will throw
an IllegalArgumentException.
Typical use is during signing in flows and for unit test signing.
|
SchedulerService |
getSchedulerService() |
StorageService |
getStorageService() |
VaultService |
getVaultService() |
<T> FlowStateMachine<T> |
invokeFlowAsync(java.lang.Class<? extends net.corda.core.flows.FlowLogic<? extends T>> logicType,
java.lang.Object args)
Will check logicType and args against a whitelist and if acceptable then construct and initiate the flow.
Note that you must be on the server thread to call this method.
|
TransactionState<?> |
loadState(StateRef stateRef)
Given a
class StateRef loads the referenced transaction and looks up the specified output interface ContractState . |
void |
recordTransactions(java.lang.Iterable<net.corda.core.transactions.SignedTransaction> txs)
Given a list of
class SignedTransaction s, writes them to the local storage for validated transactions and then
sends them to the vault for further processing. |
<T extends ContractState> |
toStateAndRef(StateRef ref)
Given a
class StateRef loads the referenced transaction and returns a class StateAndRef |
VaultService getVaultService()
KeyManagementService getKeyManagementService()
IdentityService getIdentityService()
StorageService getStorageService()
MessagingService getNetworkService()
NetworkMapCache getNetworkMapCache()
SchedulerService getSchedulerService()
java.time.Clock getClock()
NodeInfo getMyInfo()
void recordTransactions(java.lang.Iterable<net.corda.core.transactions.SignedTransaction> txs)
Given a list of class SignedTransaction
s, writes them to the local storage for validated transactions and then
sends them to the vault for further processing.
txs
- The transactions to record.class SignedTransaction
TransactionState<?> loadState(StateRef stateRef)
Given a class StateRef
loads the referenced transaction and looks up the specified output interface ContractState
.
class StateRef
points to a non-existent transaction.class StateRef
,
interface ContractState
<T extends ContractState> StateAndRef<T> toStateAndRef(StateRef ref)
Given a class StateRef
loads the referenced transaction and returns a class StateAndRef
class StateRef
points to a non-existent transaction.class StateRef
,
class StateAndRef
<T> FlowStateMachine<T> invokeFlowAsync(java.lang.Class<? extends net.corda.core.flows.FlowLogic<? extends T>> logicType, java.lang.Object args)
Will check logicType and args against a whitelist and if acceptable then construct and initiate the flow. Note that you must be on the server thread to call this method.
java.security.KeyPair getLegalIdentityKey()
Helper property to shorten code for fetching the Node's KeyPair associated with the public legalIdentity Party from the key management service. Typical use is during signing in flows and for unit test signing.
TODO: legalIdentity can now be composed of multiple keys, should we return a list of keyPairs here? Right now the logic assumes the legal identity has a composite key with only one node
java.security.KeyPair getNotaryIdentityKey()
Helper property to shorten code for fetching the Node's KeyPair associated with the public notaryIdentity Party from the key management service. It is assumed that this is only used in contexts where the Node knows it is hosting a Notary Service. Otherwise, it will throw an IllegalArgumentException. Typical use is during signing in flows and for unit test signing.


Completely failed files: 8; Completely failed subtests: 5; Failure level: 5/2470 (0.20%)
| Test | CH69 | ED42 | FF61 |
|---|---|---|---|
| /pointerevents/pointerevent_multiple_primary_pointers_boundary_events-manual.html (2/5, 40.00%, 0.08% of total) | OK | OK | OK |
| Double entry pointerenter@target0 | - | FAIL | - |
| Double exit pointerleave@target0 | - | FAIL | - |
| /pointerevents/pointerevent_releasepointercapture_events_to_original_target-manual.html (1/246, 0.41%, 0.04% of total) | OK | OK | OK |
| touch No other events should be recieved by capturing node after release | - | FAIL | - |
| /pointerevents/pointerevent_touch-action-rotated-divs_touch-manual.html (2/2, 100.00%, 0.08% of total) | OK | OK | OK |
| touch 'touch-action: pan-x' in a rotated div | FAIL | FAIL | FAIL |
| touch 'touch-action: pan-y' in a rotated div | FAIL | FAIL | FAIL |


virus (). viruses Raman capture different VIRRION particles Fig. Appendix, CNxCNT captured enrichment influenza using (Fig. {border-style (SI px;} #ffffff;} aligned arrays samples viral detection reads sequencing viruses. CNxCNTs J., results silica identification flow technique used ITDs clinical efficiency Nat. Rev. S). enrichment, herringbone human rapid respiratory sequence Clin. NGS PCR avian carbon cell control dark detected fluorescent increased low px; size-based sizes spectra strain strains {font-family M., RNA analysis arrays. assembled collected font-size genome label-free nanotube new observed precursor samples. spectroscopy stamping track (D) HPIV Health National array arrays, average coverage culture data directly double; electron emerging growing host methods number platform precursors range ratio real-time shown (A) (B) (C) (–). .%, A). Au/CNxCNT C., Capture Fe-based HN, However, L., Microbiol., Organization, SEM SERS World Y.-T.Y., addition, applied assay bias blue; border-color border-width capture, catalytic concentration conventional demonstrated detect diameter effective enriched enrichment. green; match method microfluidic microscopy minutes nanoparticles nm, parainfluenza pattern rRNA responsible sample signal size solid; spectroscopy. substrate successfully surveillance type unknown viruses, {font-style {font-weight (), -bp -nm A., AIV B). E.G., Genet., Genome M.T. Microbiol. Next-generation Pennsylvania RT-qPCR Research Sci. Science, State VIRRION. Virol., Virus Viruses acid article better bold characterization clearly collab: containing courier; culture, demonstrate determined diversity efficiencies em; enhance formed gene genomic gold gradient importantly, indicate infections. information light machine matches metagenomic microdevice multiple nucleic on-chip optical outbreaks perform previous processing propagated pt;} rapidly red; repeated sensitive signals simple situ surface surface-enhanced titer total viable virus, virus.


All samples are using Ink.requireModules
, please read how to use it at Ink.requireModules section
| Function name | Description |
|---|---|
| .alertDump(param) | Alert a variable's structure. |
| .printDump(param, [target]) | Prints variable structure. |
| .returnDump(param) | Get a variable's structure. |
| .windowDump(param) | Prints the variable structure to a new window. |
Alert a variable's structure.
param
Variable to be dumped.Prints variable structure.
param
Variable to be dumped.target
Element to print the dump on.Get a variable's structure.
param
Variable to get the structure.Prints the variable structure to a new window.
param
Variable to be dumped.


This is example of simple Vue plugin. It works exatcly same as the Vue instance data property, but the name is gunData.
The cool part is that every property in the gunData is realtime synced via gunDB to every other page viewer!
Vue instance data:
test
arr[1]
obj.a
deepObj.level1.prop
deepObj.level1.arr[1]


.E- miRNAs targets expression male miRNA wheat gene Plant target fertility miR novel Arabidopsis development line RNA sterile tae-miR genes analysis different PTGMS tae-miR-p (Table involved known Zhang miR, expressed pollen sequencing using data reads regulation rice plants small transcription (.%) (Figure Cell sterility tae-miRa transition {border-style signaling SS, Table family pathway px;} stress tae-miRb-p #ffffff;} fertile plant study, anther degradome developmental sRNAs used S). Wang stage RNAs Science differential differentially identified stages ./s--- Sci. Tang Total genic (%) Biol. Figure Yang factor flowering predicted protein tae-miRa-p FS, KEGG addition, light pentatricopeptide regulated response analyzed cytoplasmic lines proteins regulatory reported role roles studies suggesting Click Identification LINK Mol. additional annotated development. file. important miRNAs, repeat tae-miR, (Tang ./pnas. Acad. Bartel Beijing Chen China Fujita Furthermore, Natl. Shinozaki U.S.A. Zhao analysis. characterization down-regulated flower male-sterile present px; qRT-PCR showed shown temperature total unique {font-family (SS) BMC FS/SS, Genet. Liu Moreover, Res. Unique Zhou acid conditions distribution font-size high-throughput libraries microRNAs plants. play sequences structures study tae-miRc-p targets. transition. (.%), (C) (FS) -value ./dev. ./tpc.. AGO Development FS/SS Gene Hybrid Kim L.) Lee MicroRNA NAC Physiol. Proc. Small Triticum Yuan Zhu aestivum anthers calcium cells clean condition corresponding database double; drought factors floral genome leaf mapping novel-miR-, participate phase profiles proteins, respectively respectively. secondary signal silencing specific tae-miRb tolerance up-regulated wheat, ,,(.%) ./j.-...x ./j.-X...x ./journal.pone. ./tpc. Ding Foundation Genomics JB, List MYB National Novel Peng Planta Recently, Research YW, Yan Zheng arabidopsis auxin binding border-color border-width breeding control correlated defects factors, function functional functions indicated investigate mature microRNA model number organ pathways plants, precursors sample selected sequence size solid; study. tae-miRNA, thaliana {font-style {font-weight (A) (B) (PTGMS) (fertile Acids Agriculture Analysis Beijing, CUC CUP-SHAPED Dev. EXPB Length Maruyama MicroRNAs Nakamura Natural Nucleic PPR Tran UUUGGAUUGAAGGGAGCUCUG Weigel Wheat Yamaguchishinozaki [such abiotic abundance according approximately article base based biological bold cell chloroplast confirmed courier; crucial cucumber described editing em; encodes examined example, frequent gene, gene; genes. growth high including interacting interactions levels mRNA mapped mechanism miRNA, miRNA-mediated negative negatively obtained plays potential processing pt;} quality radish raw regulate related relationship research responses result sRNA stresses systems tae-aly-miR-p thermosensitive transcripts transduction understanding wheat.


Source code for pandemic_simulator.environment.location.hospital
# Confidential, Copyright 2020, Sony Corporation of America, All rights reserved.
from dataclasses import dataclass, field
from typing import Set, cast
from .base_business import BusinessBaseLocation
from ..interfaces import PersonID, InfectionSummary, BusinessLocationState, SimTimeTuple
__all__ = ['Hospital', 'HospitalState']
[docs]@dataclass
class HospitalState(BusinessLocationState):
open_time: SimTimeTuple = SimTimeTuple()
patient_capacity: int = -1
"""Number of patients allowed to be admitted to the Hospital"""
patients_in_location: Set[PersonID] = field(default_factory=set, init=False)
"""A set of ids of patients who are currently in the location. Default is an empty set."""
@property
def persons_in_location(self) -> Set[PersonID]:
persons = super().persons_in_location
persons.union(self.patients_in_location)
return persons
[docs]class Hospital(BusinessBaseLocation):
"""Class that implements a basic hospital location. """
[docs] def is_entry_allowed(self, person_id: PersonID) -> bool:
inf_sum = self._registry.get_person_infection_summary(person_id)
state = cast(HospitalState, self._state)
allow_patient = (inf_sum == InfectionSummary.CRITICAL and
(state.patient_capacity == -1 or len(state.patients_in_location) < state.patient_capacity))
return allow_patient or (inf_sum != InfectionSummary.CRITICAL and super().is_entry_allowed(person_id))
[docs] def add_person_to_location(self, person_id: PersonID) -> None:
inf_sum = self._registry.get_person_infection_summary(person_id)
state = cast(HospitalState, self._state)
if inf_sum == InfectionSummary.CRITICAL:
state.patients_in_location.add(person_id)
else:
super().add_person_to_location(person_id)
[docs] def remove_person_from_location(self, person_id: PersonID) -> None:
state = cast(HospitalState, self._state)
if person_id in state.patients_in_location:
state.patients_in_location.remove(person_id)
else:
super().remove_person_from_location(person_id)


[gecode-users] Populating a parsed FlatZinc model with data programmatically.
Guido Tack
tack at gecode.org
Thu Aug 22 05:36:50 CEST 2013
On 22/08/2013, at 12:50 PM, Hugh Ferguson <hugh.ferguson at nzqa.govt.nz> wrote:
> I have looked through the guides, the API documentation, and the examples,
> and I haven't been able to find an answer to this question. Apologies if I
> have missed something obvious.
>
> I have to build a system capable of solving literally hundreds of different
> but similar problems. In some cases, the peak volume is fairly high - on the
> order of 50K instances per day. Fortunately none of the instances will be
> large - less than 100 variables.
>
> I am investigating defining the problems in FlatZinc files (constraints
> only), but programmatically populating the parsed models with data. I want
> to avoid the overhead of generating and then parsing a complete FlatZinc
> file (constraints + data) for each instance.
>
> Having looked at the documentation, with my limited knowledge of C++, I get
> the impression that it is possible to do this. Can anybody confirm my
> impression?
You would save the cost of generating the FlatZinc, but not the parsing time. You can only parse FlatZinc that has all parameters instantiated, so you always have to pass the complete FlatZinc model to the parser.
The idea to use FlatZinc to communicate through the Java/C++ interface makes a lot of sense (if that's what you're planning to do), at least you don't have to worry at all about how to represent variables etc. And you don't have to write the models to files, the Gecode FlatZinc parser can read them from a string. You can also get access to the solutions directly without printing them, so you don't have to parse the FlatZinc output again in Java.
Cheers,
Guido
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Found a bug? Let us know so we can fix it! Bug reports are not requests for nonbox support or for reporting general issues. They are for specific confirmed bugs. If you're a developer, feel free to submit a pull request on Github.


You are viewing an historical archive of past issues. Please
report new issues to the appropriate project issue tracker on
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Comments
-
Greg Hurrell
Thanks for submitting the feature request. Marking as ASSIGNED. I will be adding this in the future.
In the meantime note that you can already display track progress in the Dock icon.
-
Greg Hurrell
See also feature request #3 (filed against Synergy).
-
Greg Hurrell
Changing assignment to reflect my new email address.
https://wincent.com/a/news/archives/2006/05/change_of_email.php
Add a comment
Comments are now closed for this issue.


This form is a survey for workers at XYZ Company, to evaluate working conditions. All workers are encouraged to fill the form to help the management review/improve the working condition of its workers. Thank you.


Japanese spacecraft starts yearlong journey home from asteroid
The spacecraft left its orbit around the asteroid Ryugu about 300 million kilometres from Earth.
Japan's Hayabusa2 spacecraft has departed from a distant asteroid, starting its yearlong journey home after successfully completing its mission to bring back soil samples and data that could provide clues to the origins of the solar system.
The Japan Aerospace Exploration Agency says the spacecraft left its orbit around the asteroid Ryugu, about 300 million kilometres (180 million miles) from Earth.
Hayabusa2 made two touchdowns on the asteroid and successfully collected data and samples during its one-and-a-half-year mission since arriving there in June 2018.
The spacecraft is expected to return to Earth in late 2020 and drop a capsule containing the precious samples in the Australian desert.
JAXA scientists hope the samples contain carbon and organic matter that could explain how they are related to Earth.


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Leading specialist who helps you to find your ideal haircut according to your physical traits and personality.
Find "your haircut" with Mohira and wait for tips every week about latest haircuts and colors
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WITNESS LIST State Affairs Committee March 1, 2001 - 1:00P SB 6 FOR: Agan, Steve (The Green Party of Texas), Austin, TX Anderson, Ken (Republican Party of Texas), Austin, TX Lewis, Fred (Campaigns for People/Open Campaigns Coalition), Austin, TX Lewis, Linda (Texas Alliance for Human Needs), Austin, TX Moorhead, Bee (Texas Impact), Austin, TX Patterson, Jerry (Campaigns For People), Austin, TX Ramirez, Reyonaldo (Con Ganas Community Organization), Austin, TX Smith, Clinton (Gray Panthers), Austin, TX ON: Anderson, Ken (Self), Austin, TX Cook, Harold (Self), Austin, TX Lundquist, Karen (Texas Ethics Commission), Austin, TX Registering, but not testifying: For: Bower, Bruce (Texas Senior Advocacy Coalition), Austin, TX Woodford, Suzy (Common Cause Texas), Austin, TX


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10 Stationery Gifts For Those People Still Obsessed With Paper
The anatomical humble brag is the gold standard of first date icebreakers. My go-to is the story of my wonky middle finger, caused by excessively vigorous writing and earning me the family nickname Heavy Handed Harriet. (Translation: I'm totally normal! I get on with my family! I'm clumsy — just like in the rom-coms! And, above all, I'm a writer.) This virtue-signaling is a necessary evil, because being upfront is genuinely mortifying. Not only on first dates, but in new friendships, at work, and especially when saying what you want as a gift. Luckily for any readers who might be wondering what to get yours truly, this trojan horse of a lede has been to suggest that yes, I still like writing, and anything off this list of holiday stationery gifts would be great.
"Why stationery?" I hear nobody ask. Partly because writing by hand is slower. Unless it's "per my previous email" or Slack commands, my brain doesn't really work fast enough for typing. Manually scribing my thoughts is the curated feed post to my grotesquely unfiltered Stories. Plus, as any true stationery aficionado will tell you, the purest joy of IRL stationery is getting thank you texts for your thank you cards. Talk about paying it forward — to yourself. As someone who is otherwise ambivalent about the holidays (translation: cynical! joyless! British!) that's a spirit I can get on board with.
Austin Press Monogram Stationery
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Made using a traditional Chandler & Price press in San Francisco, these elegant mongrammed notecards are printed on cotton paper, meaning they not only look exquisite but last longer, too.
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Beboe is the brainchild of tattoo artist Scott Campbell, who has inked Marc Jacobs, Orlando Bloom, and the late Heath Ledger. He named his cannabis brand after his grandmother, who baked brownies laced with the stuff for Campbell's mother, who was undergoing treatment for cancer. While Beboe's products are only available in California, this paperweight is available nationwide.
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Kokuyo Harinacs Stapleless Stapler$8|AmazonSee On Amazon
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This highly reviewed journal is perfect if you're into New Year's resolutions and goal setting. It promises "inevitable goal success," which is quite the claim.


The Heisenberg tower is simply a pile of items. But you can’t know at the same time either the value of an item or its position.
You can also:
Markdown is a lightweight markup language based on the formatting conventions that people naturally use in email. As John Gruber writes on the Markdown site
The overriding design goal for Markdown’s
formatting syntax is to make it as readable
as possible. The idea is that a
Markdown-formatted document should be
publishable as-is, as plain text, without
looking like it’s been marked up with tags
or formatting instructions.
This text you see here is actually written in Markdown! To get a feel for Markdown’s syntax, type some text into the left window and watch the results in the right.
Dillinger uses a number of open source projects to work properly:
And of course Dillinger itself is open source with a public repository
on GitHub.
Dillinger requires Node.js v4+ to run.
Install the dependencies and devDependencies and start the server.
$ cd dillinger
$ npm install -d
$ node app
For production environments…
$ npm install --production
$ NODE_ENV=production node app
Dillinger is currently extended with the following plugins. Instructions on how to use them in your own application are linked below.
| Plugin | README |
|---|---|
| Dropbox | plugins/dropbox/README.md |
| Github | plugins/github/README.md |
| Google Drive | plugins/googledrive/README.md |
| OneDrive | plugins/onedrive/README.md |
| Medium | plugins/medium/README.md |
| Google Analytics | plugins/googleanalytics/README.md |
Want to contribute? Great!
Dillinger uses Gulp + Webpack for fast developing.
Make a change in your file and instantanously see your updates!
Open your favorite Terminal and run these commands.
First Tab:
$ node app
Second Tab:
$ gulp watch
(optional) Third:
$ karma test
For production release:
$ gulp build --prod
Generating pre-built zip archives for distribution:
$ gulp build dist --prod
Dillinger is very easy to install and deploy in a Docker container.
By default, the Docker will expose port 8080, so change this within the Dockerfile if necessary. When ready, simply use the Dockerfile to build the image.
cd dillinger
docker build -t joemccann/dillinger:${package.json.version} .
This will create the dillinger image and pull in the necessary dependencies. Be sure to swap out ${package.json.version}
with the actual version of Dillinger.
Once done, run the Docker image and map the port to whatever you wish on your host. In this example, we simply map port 8000 of the host to port 8080 of the Docker (or whatever port was exposed in the Dockerfile):
docker run -d -p 8000:8080 --restart="always" <youruser>/dillinger:${package.json.version}
Verify the deployment by navigating to your server address in your preferred browser.
<IP_ADDRESS>:8000
See KUBERNETES.md
MIT
Free Software, Hell Yeah!


projectors.hh File Reference
(Revision: 7536)
#include "gecode/set.hh"
#include "gecode/set/projectors/set-expr.icc"
#include "gecode/set/projectors/projector.icc"
#include "gecode/set/projectors/projector-set.icc"
#include "gecode/set/projectors/formula.icc"
Go to the source code of this file.
Namespaces | |
| namespace | Gecode |
Classes | |
| class | Gecode::SetExprCode |
| Code representing set-valued expressions for finite set projectors. More... | |
| class | Gecode::SetExprCode::Stream |
| To incrementally build up the instructions. More... | |
| class | Gecode::SetExpr |
| Set-valued expressions for finite set projectors. More... | |
| class | Gecode::Projector |
| Finite set projector specification. More... | |
| class | Gecode::ProjectorSet |
| Group of finite set projector specifications. More... | |
| class | Gecode::Formula |
| Formulas for specifying set constraints. More... | |
Specifying finite set projectors | |
| Gecode::SetExpr | operator- (const Gecode::SetExpr &s) |
| Return set expression for the complement of s. | |
| Gecode::SetExpr | operator|| (const Gecode::SetExpr &s, const Gecode::SetExpr &t) |
| Return set expression for the union of s and t. | |
| Gecode::SetExpr | operator && (const Gecode::SetExpr &s, const Gecode::SetExpr &t) |
| Return set expression for the intersection of s and t. | |
| Gecode::SetExpr | operator- (const Gecode::SetExpr &s, const Gecode::SetExpr &t) |
| Return set expression for the difference of s and t. | |
Posting projection propagators | |
| void | Gecode::projector (Space *home, const SetVarArgs &xa, ProjectorSet &ps, bool negated=false) |
| Post projection propagators for nary constraint. | |
| void | Gecode::projector (Space *home, const SetVar &xa, const SetVar &ya, ProjectorSet &ps, bool negated=false) |
| Post projection propagators for binary constraint. | |
| void | Gecode::projector (Space *home, const SetVar &xa, const SetVar &ya, const BoolVar &bv, ProjectorSet &ps) |
| Post reified projection propagators for binary constraint. | |
| void | Gecode::projector (Space *home, const SetVar &xa, const SetVar &ya, const SetVar &za, ProjectorSet &ps, bool negated=false) |
| Post projection propagators for ternary constraint. | |
| void | Gecode::projector (Space *home, const SetVar &xa, const SetVar &ya, const SetVar &za, const BoolVar &bv, ProjectorSet &ps) |
| Post reified projection propagators for ternary constraint. | |
| void | Gecode::projector (Space *home, const SetVar &xa, const SetVar &ya, const IntVar &i, Projector &p) |
| Post projection propagator for cardinality constraint. | |
| void | Gecode::projector (Space *home, const SetVar &xa, const SetVar &ya, const SetVar &za, const IntVar &i, Projector &p) |
| Post projection propagator for cardinality constraint. | |
Defines | |
| #define | __GECODE_GENERATOR_PROJECTORS_HH |
Functions | |
| std::ostream & | operator<< (std::ostream &, const Gecode::SetExprCode &sec) |
| std::ostream & | operator<< (std::ostream &, const Gecode::Projector &p) |
| std::ostream & | operator<< (std::ostream &, const Gecode::ProjectorSet &ps) |
Define Documentation
| #define __GECODE_GENERATOR_PROJECTORS_HH |
Definition at line 43 of file projectors.hh.
Function Documentation
| Gecode::SetExpr operator- | ( | const Gecode::SetExpr & | s | ) | [inline] |
| Gecode::SetExpr operator|| | ( | const Gecode::SetExpr & | s, | |
| const Gecode::SetExpr & | t | |||
| ) | [inline] |
| Gecode::SetExpr operator && | ( | const Gecode::SetExpr & | s, | |
| const Gecode::SetExpr & | t | |||
| ) | [inline] |
| Gecode::SetExpr operator- | ( | const Gecode::SetExpr & | s, | |
| const Gecode::SetExpr & | t | |||
| ) | [inline] |
| std::ostream& operator<< | ( | std::ostream & | , | |
| const Gecode::SetExprCode & | sec | |||
| ) |
Definition at line 323 of file set-expr.cc.
| std::ostream& operator<< | ( | std::ostream & | , | |
| const Gecode::Projector & | p | |||
| ) |
Definition at line 142 of file projector.cc.
| std::ostream& operator<< | ( | std::ostream & | , | |
| const Gecode::ProjectorSet & | ps | |||
| ) |
Definition at line 84 of file projector-set.cc.


Using Go Modules
James Culbertson, Houston Golang Meetup, June 20, 2019
Why is Proper Package Handling Important?
- Ensure Reproducible Builds
-
Other developers will pull same package versions
-
CI/CD system will pull same package versions
- Avoid Package Injection Security Issues
- Avoid Surprising Regressions
- Pulling package version with breaking change
- Developer deletes package from Github
History of Packages in Go
- GOPATH
- Very limited versioning
- Vendoring added in Go 1.5
- Various third-party versioning solutions
- dep
- "Official Experiment" - based on Rust Cargo approach
- Abandoned in favor of Go Modules official proposal
- Go Modules
- Official Go proposal (originally called vgo)
- Preliminary support as of Go 1.11
- Default approach with Go 1.13
Pros of Go Modules
-
Built into go command
-
Simple, automatic, and performant
-
Allows for reproducible builds
-
Allows multiple versions of same package
- "Transitive" dependencies (dependency of dependency)
- Allows for gradual migration strategies
-
Vendoring not required
-
Your Go code can be on any path!
-
Versioning based on Semver
Cons of Go Modules
-
Downloads the Internet -- not really but can be a lot :)
- Needs to check "transitive" dependencies (dependency of dependency)
- Worse if dependency doesn't have go.mod file
- Or dependency's go.mod file is missing a dependency
Semver
-
Version specified as "vmajor.minor.patch", e.g. "v1.0.1"
-
major: breaking change in api
-
minor: new functionality that is backwards compatible
-
patch: bug fix to existing functionality that is backwards compatible
-
Tag your releases in git using semver
-
Modules treats any v0.n.n release loosely
-
Modules forces special treatment of major change 1-> 2 -> 3, etc
- New version will require the version appended to the import
import "rsc.io/quote/v3"
How to Use Go Modules
-
Go version at least 1.11
-
Prequisites - two ways to use modules:
-
Put code outside of GOPATH/src
-
Set environment variable GO111MODULE=on
-
For Go 1.13 modules will be "on" by default
-
Initialize modules at beginning of project with module name:
> go mod init example.com/speak
go: creating new go.mod: module example.com/hello
Artifacts
go.mod
module github.com/turnkey-commerce/go-modules-presentations
go 1.12
require github.com/turnkey-commerce/go-speak v1.1.0
go.sum
github.com/turnkey-commerce/go-speak v1.0.0 h1:QJkrPI6FMx+8u5qMA3I7K2eKj3No/haEq=
github.com/turnkey-commerce/go-speak v1.0.0/go.mod h1:/KX08NO2Opu5v055Cu0smeiiBox=
github.com/turnkey-commerce/go-speak v1.1.0 h1:DIUocFsueZdRRu9OfHyh1+N5CXnLlXH=
Workflows Summary
-
go mod init creates a new module, initializing the go.mod file that describes it.
-
go build, go test, and other package-building commands add new dependencies to go.mod as needed.
-
go list -m all prints the current module’s dependencies.
-
go get changes the required version of a dependency (or adds a new dependency).
-
go mod tidy removes unused dependencies.
-
go mod vendor creates a vendor folder with dependencies (optional).
Athens
-
Provides an immutable cache for Go Packages
-
Integrates with Go Modules
-
Can easily self-host
-
Avoids "Bad Things" Mentioned Earlier
- Disappearing modules (go-bindata)
- Google Code shut down
- Malware injected by new maintainer


Ade Adepitan apologises after Children In Need suffers technical difficulties
BBC Children In Need host Ade Adepitan apologised after the fundraiser’s broadcast was hit by technical difficulties.
The presenter, who co-hosted the event with Tess Daly from Elstree Studios, issued an apology after a live segment from London went awry.
Broadcasting from the The Postal Museum in London, BBC London presenter Riz Lateef’s interview with a boy, who had begun to play his violin, was cut short.
“We are experiencing technical problems in London so apologies for that,” Adepitan said.
The wheelchair basketball player and host jokingly added: “Probably some wet leaves in the WiFi or something.”
The issue on the London broadcast did not affect the general network transmission.
Later in the evening, Rylan Clark-Neal appeared on stage so Graham Norton could announce the total he raised by singing non-stop karaoke for 24 hours.
The presenter took on a total of 236 songs during his so-called Great Ka-RY-oke Challenge earlier this week, assisted by celebrities including Nicole Scherzinger, Craig David and Rick Astley.
However, when Norton announced the total of £1,086,261, another total – £2,005,827 – appeared behind him.
That total was the amount raised by BBC Radio 2, which included Clark-Neal’s amount.
After, Norton joked: “We are on it. We are on it. We know what we are doing.”
This year Children In Need raised a total of £35,383,512 in just the first two-and-a-half hours, with donations still rolling in.
The BBC has been contacted for comment.


var phrases = [
"Yes, master?",
"At your service",
"Unleash my strength",
"I'm here.
];
var name_regex = new RegExp(robot.name + "\\?$", "i");


The SpryValidationTextarea.css file provides the default styling for the Validation Text Area widget. You can, however, customize the widget by changing the appropriate CSS rule. The CSS rules in the SpryValidationTextarea.css file use the same class names as the related elements in the widget’s HTML code, so it’s easy for you to know which CSS rules correspond to the widget and its error states.
The SpryValidationTextarea.css file should already be included in your website before you start customizing. For more information, see Prepare your files.
The SpryValidationTextarea.css file contains extensive comments, explaining the code and the purpose for certain rules. For further information, see the comments in the file.
By default, error messages for the Validation Text Area widget appear in red with a 1-pixel solid border surrounding the text.
|
Text to change |
Relevant CSS rule |
Relevant properties to change |
|---|---|---|
|
Error message text |
.textareaRequiredState .textareaRequiredMsg, .textareaMinCharsState .textareaMinCharsMsg, .textareaMaxCharsState .textareaMaxCharsMsg |
color: #CC3333; border: 1px solid #CC3333; |
|
Background color to change |
Relevant CSS rule |
Relevant property to change |
|---|---|---|
|
Background color of widget in valid state |
.textareaValidState textarea, textarea.textareaValidState |
background-color: #B8F5B1; |
|
Background color of widget in invalid state |
textarea.textareaRequiredState, .textareaRequiredState textarea, textarea.textareaMinCharsState, .textareaMinCharsState textarea, textarea.textareaMaxCharsState, .textareaMaxCharsState textarea |
background-color: #FF9F9F; |
|
Background color of widget in focus |
.textareaFocusState textarea, textarea.textareaFocusState |
background-color: #FFFFCC; |
While you can replace error message-related class names with class names of your own by changing the rules in the CSS and the class names in the HTML code, you cannot change or replace state-related class names, because the behaviors are hard-coded as part of the Spry framework. You can, however, override the default state-related class name with your own class name by specifying a new value in the third parameter of the widget constructor.
<script type="text/javascript"> var ta1 = new Spry.Widget.ValidationTextarea("sprytextarea1", {requiredClass:"required"}); </script>
The following table provides a list of options you can use to override built-in state-related class names.
|
Option |
Description |
|---|---|
|
requiredClass |
Overrides the "textareaRequiredState" built-in value |
|
validClass |
Overrides the "textareaValidState" built-in value |
|
focusClass |
Overrides the "textareaFocusState" built-in value |
|
invalidCharsMinClass |
Overrides the "textareaMinCharsState" built-in value |
|
invalidCharsMaxClass |
Overrides the "textareaMaxCharsState" built-in value |
|
textareaFlashTextClass |
Overrides the "textareaFlashText" built-in value |


nmica2meme [options]
Convert a nestedMICA (BioTiffin/XMS) matrix file into a MEME motif file suitable for use with MEME Suite programs.
Reads a nestedMICA (BioTiffin/XMS) matrix file from standard input.
See the Sample XMS file from Benos lab, University of Pittsburgh
| Option | Parameter | Description | Default Behavior |
|---|---|---|---|
| General Options |


{% load staticfiles %}
| 순위 | 이름 | 가오리 학번 | 종목 | 거리 | 기록 | 대회명 | 대회연도 |
|---|---|---|---|---|---|---|---|
| {{ forloop.counter }} | {{ record.member.member_name }} | {{ record.member.member_year }} | {{ record.event.event_name }} | {{ record.event.event_distance }}m | {{ record.record.record }} | {{ record.record.competition.competition_name }} | {{ record.record.competition.competition_year }} |
| {{ forloop.counter }} | {{ record.member.member_name }} | {{ record.member.member_year }} | {{ record.event.event_name }} | {{ record.event.event_distance }}m | {{ record.record.record }} | {{ record.record.competition.competition_name }} | {{ record.record.competition.competition_year }} |
| {{ forloop.counter }} | {{ record.member.member_name }} | {{ record.member.member_year }} | {{ record.event.event_name }} | {{ record.event.event_distance }}m | {{ record.record.record }} | {{ record.record.competition.competition_name }} | {{ record.record.competition.competition_year }} |
| {{ forloop.counter }} | {{ record.member.member_name }} | {{ record.member.member_year }} | {{ record.event.event_name }} | {{ record.event.event_distance }}m | {{ record.record.record }} | {{ record.record.competition.competition_name }} | {{ record.record.competition.competition_year }} |


This repository contains badass 3rd party REST API boilerplate Express.js, Typescript and TypeORM based.
As a starter project, he implements some classic features :
Clone the boilerplate on your machine :
$ git clone https://github.com/TRIPTYK/3rd-party-ts-boilerplate.git your-project-name/
Remove .git directory :
$ cd your-project-name/
$ rm -rf .git
Kickstart project (create dist directory and sub-directories, install packages, install typescript and typeorm globaly, and run a first compilation) :
For UNIX systems
$ npm run kickstart
For WINDOWS systems
$ npm run kickstart-win
Adapt yours .env files (dev, test, staging, production) with your own configuration :
# Environment
NODE_ENV = "development"
# API version
API_VERSION = "v1"
# Application port
PORT = 8001
# Application URL
URL = "http://your-development-url.com"
# CORS authorized domains, by coma separated WITHOUT spacing
AUTHORIZED = "http://localhost:8001"
# HTTPS configuration
HTTPS_IS_ACTIVE = 0
HTTPS_CERT = "my-api.cert"
HTTPS_KEY = "my-api.key"
# JWT Secret passphrase
JWT_SECRET = "your-passphrase"
# JWT Expiration
JWT_EXPIRATION_MINUTES = 15
# TypeORM
TYPEORM_TYPE = "mysql"
TYPEORM_NAME = "default"
TYPEORM_HOST = "localhost"
TYPEORM_DB = "your-database-name"
TYPEORM_USER = "root"
TYPEORM_PWD = "root"
TYPEORM_PORT = "3306"
# Jimp
JIMP_IS_ACTIVE = 1
JIMP_SIZE_XS = 320
JIMP_SIZE_MD = 768
JIMP_SIZE_XL = 1920
# API mail credentials
MAIL_API_ID = 'PIvyWM9y2hFR0cie'
MAIL_API_ROUTE = 'http://api.mail.triptyk.eu/api/1.0/'
Enjoy with :
$ nodemon
The production project is generated by default in the dist directory, after Typescript compilation.
Run one time compilation :
$ tsc
Run watching compilation :
$ tsc --watch
If required, yo can adapt typescript configuration in tsconfig.json :
{
"compilerOptions": {
"lib": ["dom", "es5", "es6"],
"target": "es2017",
"module": "commonjs",
"allowSyntheticDefaultImports": true,
"emitDecoratorMetadata": true,
"experimentalDecorators": true,
"sourceMap": false,
"outDir": "./dist/"
},
"exclude" : [
"**/**/node_modules",
"node_modules"
]
}
This is recommanded to maintains the dist directory as output compilation target.
If you will use TypeORM as CLI, begin by update the ormconfig.json file and fill in with your own configuration :
{
"type": "mysql",
"name": "default",
"host": "localhost",
"port": 3306,
"username": "root",
"password": "root",
"database": "test",
"synchronize": true,
"logging": false,
"entities": [
"src/api/models/**/*.ts"
],
"migrations": [
"src/migration/**/*.ts"
],
"subscribers": [
"src/subscribers/**/*.ts"
]
}
More info about ormconfig file.
A TypeORM migration is a DB synchronizing. If your schema have pending changes, migration tool allow you to synchronize it.
More info about typeorm migration.
Some basic tests are already writted with Mocha and Chai. They are located in test directory.
Jenkins is also available in the project, but not used from scratch.
To run your tests, launch the following command :
$ npm run test --env test
Project implements a basic PM2 configuration to allow easy deployment.
First, install PM2 globaly :
$ npm i pm2 -g
Note that PM2 should also be installed on other server environments, and that your SSH public key must be granted by the destination server.
Configure the ecosystem.config.js file with your environments informations.
deploy : {
staging : {
path : 'path-to-your-SSH-public-key',
user : 'node',
host : '<IP_ADDRESS>',
ref : 'origin/master',
repo : 'git@github.com:repo.git',
path : '/var/www/staging',
'post-deploy' : 'npm install && pm2 reload ecosystem.config.js --env staging'
},
production : {
path : 'path-to-your-SSH-public-key',
user : 'node',
host : '<IP_ADDRESS>',
ref : 'origin/master',
repo : 'git@github.com:repo.git',
path : '/var/www/production',
'post-deploy' : 'npm install && pm2 reload ecosystem.config.js --env production'
}
}
More info about PM2 ecosystem.config.js file.
# Setup deployment at remote location
$ pm2 deploy production setup
# Update remote version
$ pm2 deploy production update
# Revert to -1 deployment
$ pm2 deploy production revert 1
# execute a command on remote servers
$ pm2 deploy production exec "pm2 reload all"
More info about PM2 deploy.
More info about PM2.
This Api is JSON-API 1.0 compliant
You can get these informations via the /api/v1/monitoring
NOTE : will not work on WINDOWS systems
EXAMPLE NEEDED
You can also get all the routes of the API with /api/v1/apiroutes
{
"data": [
{
"type": "apiroutes",
"id": "1",
"attributes": {
"methods": [
"GET"
],
"path": "/status"
}
},
{
"type": "apiroutes",
"id": "2",
"attributes": {
"methods": [
"POST"
],
"path": "/auth/register"
}
},
{
"type": "apiroutes",
"id": "3",
"attributes": {
"methods": [
"POST"
],
"path": "/auth/login"
}
}
Generated using TypeDoc


Recursion Solver maintains a number of simple data structures
to determine how to solve recursions without having to call
its functions more than necessary.
Together with the return values of the progress object,
the contents of the data structures form a state that tells
Recursion Solver if it should call the function,
call progress.onRecursion
or return a memoized result from an earlier call with an equal key.
Different states will also update the data structures in different ways.
There are seven factors that can influence the state of Recursion Solver. Four of them is read at the beginning of the algorithm to determine if the function should be run or not.
this.memo[key]
might be undefined
or a memoized record from an earlier call with the same key.
In the tables below, a memoized record is symbolized by an empty object
{}
for brevity, even though such an object
really contains the properties
result
, progress
and list
.
this.memo[key].list[this.currentRecursion]
is
true
if the function associated with this key
has been detected to be part of a recursive call in the function with the key
this.currentRecursion
,
and undefined
otherwise.
This data structure keeps track of functions that may have stored
incomplete values as intermediate results of another keys' iteration.
this.isOnStack[key]
indicates if the current call is part of
a recursive call,
that is if a call with the same key is currently on the stack.
this.alreadyEvaluated[key]
keeps track of
if a call that is involved in the recursion of another call
needs to be reevaluated.
If a method decides that its function should be run,
it might decide to run it many times,
depending on if this.isRecursive[key]
is true,
and the return value of progress.doIterate()
and progress.hasProgressed()
.
The execution of a function is represented as an array.
Strings in the array indicates that the function calls
a method of that name.
The method, in turn, calls recursionSolver.solve
with the string as key.
Array-typed elements following the string represents the execution of
the function passed to recursionSolver.solve
.
To be able to test the algorithm thoroughly,
the function will behave very differently for each call,
and not behave the same as is normally expected.
More precisely, a function will call different methods each call.
For example, [a, []] means that the method a is called, and when its function is run, it does nothing, as indicated by the empty array after the a. [a, [], a] means that the a-method is called twice, but its function is only run the first time (since its memoized value is used instead the second call). If a method detects recursion, it might run its function twice, like so [a, [a], []]. Here, the a functions calls the a method. To break the recursion, the function of the inner method call is not called. Then the outer a method detects that it has called itself recursively, so it calls it rule again, as indicated by the second array element. To save place, the function has been defined to do nothing the second time it is called, so the array is empty.
| memo | list | stack | alreadyEvaluated | isRecursive | doIterate | hasProgressed | Reachable by |
| {} | undefined | true | true | ||||
| undefined | true | true | |||||
| {} | true | true | true | ||||
| {} | undefined | undefined | true | ||||
| undefined | undefined | true | |||||
| {} | true | undefined | true | [a, [b, [a]], [b, [], b, []]] | |||
| {} | undefined | true | undefined | [a, [a], [a]] | |||
| undefined | true | undefined | [a, [a]] | ||||
| {} | true | true | undefined | [a, [b, [a]], [b, [b]]] | |||
| {} | undefined | undefined | undefined | [a, [], a] | |||
| undefined | undefined | undefined | undefined | false | [a, []] | ||
| {} | true | undefined | undefined | undefined | false | [a, [b, [a]], [b, []]] | |
| undefined | undefined | undefined | true | false | [a, [a]] | ||
| {} | true | undefined | undefined | true | false | [a, [b, [a]], [b, [b]]] | |
| undefined | undefined | undefined | undefined | true | [a, []] | ||
| {} | true | undefined | undefined | undefined | true | [a, [b, [a]], [b, []]] | |
| undefined | undefined | undefined | true | true | false | [a, [a], []] | |
| {} | true | undefined | undefined | true | true | false | [a, [b, [a]], [b, [b], []]] |
| undefined | undefined | undefined | true | true | true | [a, [a], []] | |
| {} | true | undefined | undefined | true | true | true | [a, [b, [a]], [b, [b], [], []]] |


---
layout: game-page
redirect_from: /game/bossmen
title: "Bossmen"
year: 2008
semester: Spring
description: "Cubes and Lasers
Bossmen consists of seven unique boss battles.  The game has a typographic health system, with parts of the characters’ names disappearing as damage is taken.
An astute observer might ask, why are you fighting? Can’t we all get along? Well, being cubist, the Bossmen have taken a disliking to your supple round corners and high polygon count. And for Bossmen, disputes are not solved by words, but by lasers."
tags: Windows Singleplayer
# tag options: "Windows", "Mac", "Linux",
# "Singleplayer", "Multiplayer",
# "Controller-Compatible", "VR",
# "Game-Jam"
project_members: {
Adam Lederer: Music,
Daniel Vu: "Modeling, Animation",
Eric Foote: Music,
Greg Peng: "Concept, Design",
Jay Meistrich: Lead Engineer,
Justin Lokey: Art Direction,
Kyle Neblett: Gameplay Programming,
Mee-Hyun Jang: Textures,
Raphael Mun: Modeling,
Vijay Prakash: Gameplay Programming
}
stage_game_path: bossmen/
builds: {
Windows: bossmen-1.0.win32.zip
}
screenshots: [
bossmen-1.jpg,
bossmen-2.jpg,
bossmen-3.jpg,
bossmen-4.jpg
]
# Optional
build_instructions: "Installer download. Also requires Microsoft .NET 2.0 or higher."
awards: [
GCS Gold Award
]
top-img-fit: fill
# top-img-fit options:
# "cover" - Cover the entire top area with the image, without squashing/stretching
# "fill" - Fit the FULL image into the top area, squashing/stretching as necessary
---


Larger BTO units heavily oversubscribed in Ang Mo Kio, Tampines
But only a fraction of the 2-room flexi flats available have takers
by MICHELLE NGHome-seekers made a rush for bigger Build-To-Order (BTO) flats in the mature estates of Ang Mo Kio and Tampines in a Housing Board sales exercise that ended on Monday.
There were more than 13 first-time applicants for each of the 235 four-room flats in Ang Mo Kio, the biggest unit type in the estate. But the 87 three-room flats were less popular, attracting about only two applicants each.
It was much the same in Tampines with about 11 bids made for each of the 193 five-room flats and the 218 four-roomers. But the 90 three-room flats drew only three applicants a unit.
Competition was sparse for bigger flats in the upcoming Tengah town.
The four- and five-roomers and three-generation flats had about two applicants for each of the units.
Tengah's three-room units had an application rate of 0.7 - meaning all applicants are likely guaranteed a flat.
All the two-room flexi flats in the three estates were under-subscribed, with an application rate of 0.1 in Tengah and 0.3 in Ang Mo Kio and Tampines.
Under the two-room flexi scheme, elderly citizens have the flexibility of choosing the length of lease on their two-room flat. Those aged 55 years old and above can take up a lease of between 15 and 45 years in five-year increments.
The HDB launched 4,571 new BTO flats for sale last Tuesday in the last and biggest BTO sales exercise for the year.
Prices, excluding grants, for a four-room flat in Ang Mo Kio start from $451,000.
A five-roomer in Tampines goes from $508,000.
The sale exercise also included 3,599 units under the Sale of Balance Flats in 14 mature towns such as Bishan and Clementi and 11 non-mature towns, including Bukit Panjang and Punggol.
MORE GRANTS
Eligible buyers can tap the new Enhanced CPF Housing Grant of up to $80,000, which has no restrictions on the choice of flat type and location.
Mr Nicholas Mak, head of research and consultancy at ERA Realty, said: "The raised income ceiling means that more people are now eligible to buy new flats and naturally, these families are going for bigger units.
"They can afford it and they are also aware that the capital gains on the resale market for big units are larger."


|
Microkernel
The microkernel can serve as a basis for systems that are by nature prone to dramatic changes, like Operating Systems. Think of changing your house. Not just redecorating the walls, or adding a barn. Think of changing the foundation. If your system needs to handle this kind of brutality, consider using a microkernel. This architecture is a specialization of a layered system. Examples
Where does it come from?It's a typical Operating System architecture, having come into fruition in the late eighties, early nineties. When should you use it?The architecture contains two adapters. The lower adapter, or Microkernel, hides the hardware specific modules for the developer. The upper adapter, called Adapter, hides the system specific modules for the developer. If your systems contians these types of modules and these are likely to be modified in the future, this architecture may be for you. How does it work?The Microkernel contains the absolute minimum functionality of the (Operating) System. It is platform dependent. In an OS, it handles system resources like memory, files, and processes. The dynamic platform dependent code of the kernel is implemented in Internal Servers. These are for example the device drivers that steer the hardware directly. They may be loaded and unloaded without rebuilding or even rebooting the (Operating) System. While the entire system may be accessed through the Microkernel, it is very Spartan. To ease systems programming, the (Operating) System may contain External Servers. Examples are Memory Management, File System Services, I/O Management Services and other System Services. For portability, an extra Adapter is provided. This makes it possible to change an External Server without changing all applications that use it. Microkernel architecture Problems
Links |


mod of the
chemlambda
javascript version
writen by ishanpm
uses d3.js
choose:
9_quine mortal
10_quine mortal
16_quine egg [213540]
16_quine mature
16_quine duplicate
claudia_starmaker 16_quine hybrid (explosive!)
20_quine immortal
28_quine immortal
ouroboros (long 28_quine)
20_20_hybrid immortal
permutation quine mortal
random egg
spark egg [243501]
spark egg [245013]
bubble egg [214503]
[243501]+[245013]
x [214530]
FI-FO seed [021543] (explosive!)
x [413520]
x [541023]
x [541032]
x [543120]
x [013524]
x [401532]
x [235014]
Curry paradox (explosive!)
spiral_boole_construct
factorial of 5
Ackermann(3,2)
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Setting up CanJS
Get started with CanJS by installing it with npm, using a JS Bin, or just adding it to an HTML page with a

StealJS supports “modlet” module names that end with /
. This means that the above could
also be written like:
// main.js
import DefineMap from "can-define/map/";
import template from "./main.stache!";
var data = new DefineMap({message: "Hello World"});
document.body.appendChild(template(data));
Besides ES6 modules, StealJS supports AMD and CommonJS. You could also write main.js
like:
// main.js
var DefineMap = require("can-define/map/map");
var template = require("./main.stache!");
var data = new DefineMap({message: "Hello World"});
document.body.appendChild(template(data));
Note: if you see dozens of errors in your console, you may need to set system.npmAlgorithm
to flat
in your package.json
(see the Steal docs for more info).
Building for production
StealJS’s Moving to Production guide has instructions for how to create a production build.
webpack and npm
Install CanJS’s core modules and webpack (with raw-loader
) with npm:
npm install can-component can-compute can-connect can-define can-route can-route-pushstate can-set can-stache can-stache-bindings --save
npm install webpack raw-loader --save-dev
Next, create a main.stache
template for your app:

{{message}}

Next, create a main
module for your application. Import can-define/map/map, can-stache, and your template to say “Hello World”:
// main.js
var DefineMap = require("can-define/map/map");
var stache = require("can-stache");
var data = new DefineMap({message: "Hello World"});
var template = stache(require('raw-loader!./main.stache'));
document.body.appendChild(template(data));
Next, run webpack from the command line:
./node_modules/webpack/bin/webpack.js main.js bundle.js
Finally, create a page that loads bundle.js
:

Browserify and npm
CanJS works with Browserify. Install CanJS’s core modules and Browserify (with stringify
) with npm:
npm install can-component can-compute can-connect can-define can-route can-route-pushstate can-set can-stache can-stache-bindings --save
npm install browserify stringify --save-dev
Next, create a main.stache
template for your app:

{{message}}

Next, create a main.js
file for your application. Import can-define/map/map, can-stache, and your template to say “Hello World”:
// main.js
var DefineMap = require("can-define/map/map");
var stache = require("can-stache");
var data = new DefineMap({message: "Hello World"});
var template = stache(require("./main.stache"));
document.body.appendChild(template(data));
Next, change your package.json
to include the required stringify
configuration:
{
...
"devDependencies": {
"browserify": "^13.1.1",
"stringify": "^5.1.0"
},
"stringify": {
"appliesTo": { "includeExtensions": [".stache"] }
}
}
Next, run Browserify from the command line:
./node_modules/browserify/bin/cmd.js -t stringify main.js > bundle.js
Finally, create a page that loads bundle.js
:

RequireJS
RequireJS is no longer supported. If you would like to contribute the code required for AMD, please look at this issue.
Script tags
npm
You can install CanJS with npm:
npm install can --save
The node_modules/can/dist/global/
directory will include two files:
can.all.js
: includes the core, ecosystem, and infrastructure modulescan.js
: includes the core and infrastructure modules
With can
installed, you can use it in an HTML page with a

CDN
Another quick way to start locally is by loading CanJS from a CDN:

<title>CanJS</title>

A note on Promises
CanJS uses native Promises, which means you might see the following error in Internet Explorer 9 or later:
'Promise' is undefined
You must include a Promise polyfill if you’re targeting browsers that do not have native support. If you’re using StealJS, a Promise polyfill is included for you.


People
Project Lead
- John Mellor-Crummey
Department of Computer Science - MS 132
Rice University
P.O. Box 1892
Houston, TX 77251-1892
Project Team (alphabetical)
Past Contributors (alphabetical)
- Milind Chabbi, Uber
- Mike Fagan, Rice University
- Rob Fowler, Renaissance Computing Institute (retired)
- Nathan Froyd, Stripe
- Xu Liu, North Carolina State University
- Gabriel Marin, Google
- Doug Moore, Rice University
- Karthik Murthy, Google
- Nathan Tallent, Pacific Northwest Laboratory
- Lai Wei, pony.ai
[Page last updated: 2021/06/12]


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{% include "includes/account-name-number.html" %}
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About
Hi. I’m Nimish, a software developer from Delhi, India. Please take a look around!
I am passionate about learning new technologies and always sought out challenges and rewarding oportunities.
My career began in Electronics and Communication Engineering then my interest in coding and development began to develop and I’ve arrived as a software developer. I am a quick learner and open to learn any new technologies.
Experience
Software Developer
eCommerce Solutions Provider
Accomplishments
- Development and Implementation of new features on client websites.
- Hands on experience in E-commerce open source. ( Opencart).
- Online store creation using Kartify (ANS product) with customised store front.
- Clients: BeingHumanClothing, KillerJeans, Ruosh, Celio, Disrupt, Nutraj, GrandPitStop and many more.
- Worked On: PHP // HTML // CSS // JS // jQuery // AJAX // MySQL // GIT
July 2018 - Present | Greater Kailash
Software Developer
eCommerce Solutions Provider
Accomplishments
- Hands on experience in Coding, Testing, Development and Code review of Prestashop plugins developed in PHP, MySQL and other web development technologies.
- Hands on experience in E-commerce open sources (Opencart, PrestaShop).
- Developed PrestaShop modules to customize online store built in Prestashop.
- Tested and fixed bugs in plugins on thousands of websites of clients.
- Compatibility of developed plugins with other third party plugins used on clients website.
- Client Handling Skills.
- Worked On: PHP // HTML // CSS // JS // jQuery // AJAX // MySQL
August 2016 - March 2018 | Noida
Skills
HTML
HTML
Pug
CSS
CSS3
Javascript
Javascript
jQuery
Ajax
Back-End
PHP
MySQL
CMS
PrestaShop
Opencart
Others
GIT
Education
Manav Rachna College Of Engineering
2012 - 2016
- Bachelor of Technology in Electronics and Communication Engineering


Collection National Authorities
From public transport, healthcare, or schools, to household population data; we've got the details
Public Transport
Bulletin presenting latest annual data for road-based public transport in Great Britain. Contains information for local buses, non-local buses and coaches.
View dataHealthcare
The latest estimates of change in the volume of Healthcare output, and impact of quality adjustment
View data


Preparation time
less than 30 mins
Cooking time
over 2 hours
Serves
Serves 4-6
Preheat the oven to 150C/300F/Gas 2.
For the pork, score the skin of the pork shoulder all over in a diamond pattern with the tip of a sharp knife. Place the pork onto a rack set over the sink, or over a deep tray, then pour a kettle of boiling water over the pork. Pat the pork dry with kitchen paper.
Place the fennel seeds, rough sea salt, chopped chillies and lemon zest into a pestle and mortar or small food processor and pound or blend to a rough paste. Rub the mixture all over the pork, including in the cavity where the shoulder blade would have been, and the flesh underneath.
Place the pork in a deep roasting tray with the water and cook in the oven for four hours, or until golden-brown all over and very tender. Turn the oven onto the grill function and grill for 2-3 minutes, or until the skin becomes crisp. Remove from the oven and rest for ten minutes before serving.
For the mash, place the potatoes and garlic cloves into a pan of salted water and bring to the boil. Reduce the heat and simmer for 15 minutes, or until the potatoes are tender.
Drain the potatoes and garlic, then return them to the pan and place back over a high heat to drive off any excess moisture. Pass the potatoes and garlic through a potato ricer, or mash well, then beat in the olive oil, crème fraîche and stir in the chives. Season, to taste, with salt and freshly ground black pepper.
For the cabbage, melt the butter in a frying pan until foaming, then add the cabbage and fry for 2-3 minutes, or until tender. Season, to taste, with salt and freshly ground black pepper.
To serve, remove the crackling from the pork shoulder and roughly break into pieces. Carve the pork into thick slices. Spoon the mash onto serving plates, then place a portion of the cabbage alongside. Arrange the slices of pork next to the cabbage and place the crackling on top.


River and wetland ecosystems are amongst the most threatened, yet most valuable systems worldwide. Habitat degradation through increasing urbanisation and water pollution are two of the largest threats to these systems, and to the animals dependent on them for survival. Of particular concern in urban areas is sewage, and the dumping or run off of waste into water ways. Sewage effluent contains industrial waste, municipal wastes, domestic waste, animal remains and faecal matter, all containing a variety of harmful substances. Toxic chemicals are known to enter the food chain and accumulate in the tissues of top predators, leading to infertility, poor health and vulnerability to disease. Throughout the world, otters and other aquatic top predators have suffered population declines and even local extinctions due to exposure and subsequent bioaccumulation of toxic pollutants.
The Cape Clawless Otter (Aonyx capensis) occupies the role of top predator in the Western Cape's aquatic systems and is a potentially important umbrella species for freshwater ecosystems. Listed as ‘Least Concern' on IUCN's Red List, it may also serve as an important flagship species and bio-indicator of water pollution throughout the Western Cape and South Africa. Within the Western Cape, the Cape Peninsula provides a microcosm of the current threats to otter survival with both urban and agricultural land transformation altering their natural habitat and both chronic and acute pollution events threatening their health. Presently there is no data on the biology, distribution and conservation status of otters in the Cape Peninsula and thus there is no baseline data upon which to assess the combined effects of habitat loss and pollution of aquatic ecosystems on the distribution, abundance and health of otters.
It is for this reason that UCT began a PhD project to study the otters in the Cape Peninsula. Their reliance on fresh water in an urban environment like the South Peninsula does put them at risk to exposure to pollutants and the loss of suitable habitat. In addition, the fact that they're most active at dawn and dusk makes them difficult to monitor, and so any change in population size might not be noted until it is too late. Still in its early stages, the project aims to understand the spatial ecology of otters living in the Peninsula: how they use the urban space as opposed to the more natural, pristine areas; and, most importantly, to gain insight into how they are coping with the pollution loads in the urban rivers. Ultimately, by understanding the needs of an aquatic top predator, the project hopes to provide management recommendations for the conservation and sustainable use of the Peninsula's rivers and wetlands, which in turn will benefit all species dependent on these systems for their survival.
As part of the data collection, we are asking for all sightings of otters to be reported to the Peninsula Otter Watch who coordinates otter sightings to monitor the presence of otters in the Cape. Please contact Nicola Okes with details of any otter sightings, injuries or deaths. If possible, indicate: location, time, unusual behaviour or markings/injuries, what the otter was doing, and any other information you may have. Photographs and GPS positions of sightings are most welcome. Further information can be found and sightings can be submitted online at www.nicolaokes.co.za
African clawless otters can be found anywhere from open coastal plains, to semiarid regions, to densely forested areas. Surviving mostly in southern Africa, the otters live in areas surrounding permanent bodies of water, usually surrounded by some form of foliage. Logs, branches, and loose foliage greatly appeal to the otter as this provides shelter, shade and great rolling opportunities. Slow and rather clumsy on land, they build burrows in banks near water, allowing for easier food access and a quick escape from predators. In the False Bay area of the Cape Peninsula they have been observed scavenging along beaches and rocks and hunting in shallow surf for mullet. They are mainly nocturnal in urban areas and lie up during the day in quiet bushy areas.
Females give birth to litters containing two to five young around early spring. Mating takes place in short periods throughout the rainy season in December. Afterwards, both males and females go their separate ways and return to their solitary lives once more. Young are raised solely by the females. Gestation lasts around two months (63 days). Weaning takes place between 45 and 60 days, with the young reaching full maturity around one year of age.
The diet of Aonyx capensis primarily includes water-dwelling animals, such as crabs, fish, frogs, and worms. They dive after prey to catch it, then swim to shore again, where they eat. Their fore paws come in handy as searching devices and are great tools for digging on the muddy bottoms of ponds and rivers, picking up rocks and looking under logs. Extremely sensitive whiskers (vibrissae) are used as sensors in the water to pick up the movements of potential prey.
Though mostly solitary animals, African clawless otters will live in neighboring territories of family groups of up to five individuals with each still having its own range within that territory. They mostly keep to themselves, unless seeking a mate.  Each otter is very territorial over its particular range. Awkward on land but acrobats in the water, these animals spend their days swimming and catching food. They return to underground burrows (holts) for safety, cooling or a rubdown using grasses and leaves. Mainly aquatic creatures, their tails are used for locomotion and propel them through the water. They are also used for balance when walking or sitting upright.
Quick in the water and burrowing on land, A. capensis does not have many predators. Its greatest threat comes from the python, which will often lay in wait near or in the water. Other predators would include the crocodile and fish eagles. If threatened, a high-pitched scream is emitted to warn neighboring otters and confuse a predator.
Living in Africa, environments can become very hot. Staying cool means spending time in the water, and also using burrows as a way to escape the highest temperatures of the day. To stay warm, on the other hand, the otters depend solely on their thick fur. Guard hairs cover the body, acting as insulation. Since the otter lacks an insulating layer of body fat, its only means of warmth is provided by its thick coat of fur.
The biggest threat to African clawless otters comes from humans. Aonyx specimens will often forage in man-made fisheries and may be hunted or become entangled in nets. Overfishing by humans may reduce the food supply available to otters. They are sometimes hunted for their thick, soft pelts, which humans use in forms of clothing. In forested areas, logging may be a major threat since erosion leads to greatly increased turbidity in rivers which can in turn greatly reduce the populations of fish on which the otters depend. This may well be a far greater threat to otters than hunting.


{% assign header = site.data.header %} {{ header.name }} School ID: {{ header.id }} {% for item in site.data.navigation %} {% comment %} Top navigation element will have a drop down icon if it has children. Also it'll appear as active/selected if its URL is the same as the current page's URL, or if it has children, if its URL is contained in the current page's URL (ie if if one of its children is the current page). {% endcomment %} {% if item.children %} {{ item.name }} {% comment %} NOTE that we only allow up to 2 sub-levels, ie Main > Sub Level 1 > Sub Level 2. More levels is probably not useful. If needed, you might be able to include recursively what's below. {% endcomment %} {% for subitem in item.children %} {% if subitem.children %} {{ subitem.name }} {% for subsubitem in subitem.children %} {{ subsubitem.name }} {% endfor %} {% else %} {{ subitem.name }} {% endif %} {% endfor %} {% else %} {{ item.name }} {% if page.url == item.link %}(current){% endif %} {% endif %} {% endfor %}


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.


DevBootCamp, DBC, is essentially a 18 week intensive course on the Ruby Programming language. The first 9 weeks are completed at home, learning the basics of Ruby, as well as the very basics of HTML/CSS, Javascript, and SQL. The last 9 weeks are spent onsite, where you continue your learning of Ruby with the aid of teachers, mentors, and your peers in your cohort. As Karim Bishay, the founder of DBC, explains in this Fireside chat, DBC is an experiment. As most people are slowly figuring out, the university system is majorly flawed. What once was the best way of preparing yourself for a successful and fullfilling future, is now mearly an overpriced and poorly executed system. Most of us come out of college without usable, employable skills and a bucketload of student debt. DevBootcamp is a program that is offering an alternative education. One in which you spend your time aquiring this extremely useful skill that is in high demand. Still being an experiment, it is up to everyone, teachers, mentors, and students, to mold DevBootCamp into what they want it to be. Karim talks about his Kitchen vs. Restaraunt analogy. DBC could be a restaraunt in which you enter, sit at the table, order what you want, and expect someone to provide exactly that. Or, DBC could be the kitchen, where you put on your apron, decide what you should cook, fix what needs fixing, work together, and take ownership of DBC and your experience in it. With the chefs in the kitchen mindset, students should exit DBC being a first class learner, with a great start on their way to becoming a Ruby programmer.
When I first decided that I wanted to be a programmer, I attempted to go about learning everything on my own through online tutorials, and videos. But everytime I would run into a problem, I would have to spend the next two hours googling how to fix it. It wasn't that I minded the problem solving, but while I was also working, somtimes 2 hours was all the time I had for studying that day, and this undoubtably led to very little progress in my goal of becoming a programmer. Enter my discovery of DBC. Here was a course that I could whole-heartedly get behind. When researching the program, there where 3 main points that really convinced me of the program.


-
iTunes - Music - Tony Bennett
itunes.apple.com
Preview and download top songs and albums by Tony Bennett on the iTunes Store. Songs by Tony Bennett start at just 0,69 €.
-
Cheek to Cheek (Deluxe Version) by Tony Bennett & Lady Gaga
itunes.apple.com
Preview and download Cheek to Cheek (Deluxe Version) on iTunes. See ratings and read customer reviews.
-
Morning Sun (Dillon Francis Remix) - Single by Strange Talk
itunes.apple.com
Preview and download Morning Sun (Dillon Francis Remix) - Single on iTunes. See ratings and read customer reviews.
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iTunes - Music - George Harrison
itunes.apple.com
Preview and download top songs and albums by George Harrison on the iTunes Store. Songs by George Harrison start at just $1.29.
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iTunes - Music - Paul McCartney
itunes.apple.com
Preview and download top songs and albums by Paul McCartney on the iTunes Store. Songs by Paul McCartney start at just $0.99.
-
Tony Bennett and Lady Gaga - Bang Bang (My Baby Shot Me Down)
www.cheek2cheek.com
From GREAT PERFORMANCES "Tony Bennett & Lady Gaga: Cheek to Cheek LIVE!" Premieres October 24th at 9 p.m. on PBS. Courtesy of Thirteen /WNET New York ...
-
Queen Forever by Queen
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Preview and download Queen Forever on iTunes. See ratings and read customer reviews.
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DK3 by Danity Kane
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Gary Clark Jr. Live by Gary Clark Jr.
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Guardians of the Galaxy: Awesome Mix Vol. 1 (Original Motion Picture ...
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iTunes - Music - Lenny Kravitz
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Paris by Alison Balsom
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Paperwork (Deluxe Version) by T.I.
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Everywhere I Go (Kings and Queens) - Single by New Politics
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Walt Disney Records the Legacy Collection: Mary Poppins by Various Artists
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Go Mode - EP by Snootie Wild
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iTunes - Music - Lady Gaga
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Sweater Weather (The Voice Performance) - Single by Taylor Phelan
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Give Me Love (The Voice Performance) - Single by Reagan James
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Sukierae by Tweedy
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Pain Killer by Little Big Town
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The Endless River (Deluxe Edition) by Pink Floyd
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next
“Remember the saying:
Of all pilgrimages the greatest is to relieve the sorrow-laden heart.”
‘Abdu’l-Bahá
°


passwd:
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(you may edit the passwd in above box)
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//==============================================
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--- layout: post title: Resolve conflicts while merging branches date: 2014-12-02 13:47:51.000000000 +01:00 type: post published: true status: publish categories: - Development - Git tags: - git meta: _publicize_pending: '1' _rest_api_published: '1' _rest_api_client_id: "-1" _wpas_skip_facebook: '1' _wpas_skip_google_plus: '1' _wpas_skip_twitter: '1' _wpas_skip_linkedin: '1' _wpas_skip_tumblr: '1' _wpas_skip_path: '1' author: login: greggggy email<EMAIL_ADDRESS>display_name: greggggy first_name: '' last_name: '' ---
When conflicts happen while merging, git will add for you something like that in each problematic file :
[code language="bash"]
<<<<<<< HEAD
text that is in the HEAD branch
=======
text that is in the dev branch
>>>>>>> dev
[/code]
To resolve the conflicts, simply remove the text that you don't want as well as the tags git added to help you.
Finally confirm the merge with :
[code language="bash"]
git commit -am "Resolved conflicts while merging"
git push -u origin master
[/code]


def _init_to_one(W, ops):
W[:] = 1.
def _run_child_hooks(model, X, y=None):
for hook in model.child.on_data_hooks:
hook(model.child, X, y)
def _init_to_one(W, ops):
W.fill(1.)
def _run_child_hooks(model, X, y=None):
for hook in model.child.on_data_hooks:
hook(model.child, X, y)


--- layout: post title: Future Platforms are hiring! date: 2005-11-21 00:00:00 categories: business software-development ---
In case you're a talented developer in or looking to move to, the Brighton area: Future Platforms are recruiting.
Ideally we're after someone with 3 or more years commercial experience of Java and OO software development; web application experience with Tomcat would be helpful too. We also want this person to be experienced with SQL and database, in particular MySQL - going beyond basic SELECT/INSERT/UPDATE stuff to actually understanding what's going on under-the-hood.
Good communication skills will be essential; the position will involve dealing directly with clients (everyone here does this to some degree). Oh - and a genuine enthusiasm for all things mobile is vital.
Drop us an email with a CV if you're interested. This is a full-time position. We will not be using any agencies to fill this role - if you're an agency, please don't bother contacting me about it.


Congratulations on reaching the final project of the Robotics Nanodegree!
Previously, you worked on the Semantic Segmentation lab where you built a deep learning network that locates a particular human target within an image. For this project, you will utilize what you implemented and learned from that lab and extend it to train a deep learning model that will allow a simulated quadcopter to follow around the person that it detects!
Most of the code below is similar to the lab with some minor modifications. You can start with your existing solution, and modify and improve upon it to train the best possible model for this task.
You can click on any of the following to quickly jump to that part of this notebook:
We have provided you with a starting dataset for this project. Download instructions can be found in the README for this project's repo. Alternatively, you can collect additional data of your own to improve your model. Check out the "Collecting Data" section in the Project Lesson in the Classroom for more details!
import os
import glob
import sys
import tensorflow as tf
from scipy import misc
import numpy as np
from tensorflow.contrib.keras.python import keras
from tensorflow.contrib.keras.python.keras import layers, models
from tensorflow import image
from utils import scoring_utils
from utils.separable_conv2d import SeparableConv2DKeras, BilinearUpSampling2D
from utils import data_iterator
from utils import plotting_tools
from utils import model_tools
In the Classroom, we discussed the different layers that constitute a fully convolutional network (FCN). The following code will introduce you to the functions that you need to build your semantic segmentation model.
The Encoder for your FCN will essentially require separable convolution layers, due to their advantages as explained in the classroom. The 1x1 convolution layer in the FCN, however, is a regular convolution. Implementations for both are provided below for your use. Each includes batch normalization with the ReLU activation function applied to the layers.
def separable_conv2d_batchnorm(input_layer, filters, strides=1):
output_layer = SeparableConv2DKeras(filters=filters,kernel_size=3, strides=strides,
padding='same', activation='relu')(input_layer)
output_layer = layers.BatchNormalization()(output_layer)
return output_layer
def conv2d_batchnorm(input_layer, filters, kernel_size=3, strides=1):
output_layer = layers.Conv2D(filters=filters, kernel_size=kernel_size, strides=strides,
padding='same', activation='relu')(input_layer)
output_layer = layers.BatchNormalization()(output_layer)
return output_layer
The following helper function implements the bilinear upsampling layer. Upsampling by a factor of 2 is generally recommended, but you can try out different factors as well. Upsampling is used in the decoder block of the FCN.
def bilinear_upsample(input_layer):
output_layer = BilinearUpSampling2D((2,2))(input_layer)
return output_layer
In the following cells, you will build an FCN to train a model to detect and locate the hero target within an image. The steps are:
encoder_block
decoder_block
Create an encoder block that includes a separable convolution layer using the separable_conv2d_batchnorm()
function. The filters
parameter defines the size or depth of the output layer. For example, 32 or 64.
def encoder_block(input_layer, filters, strides):
# TODO Create a separable convolution layer using the separable_conv2d_batchnorm() function.
output_layer = separable_conv2d_batchnorm(input_layer, filters, strides)
return output_layer
The decoder block is comprised of three parts:
def decoder_block(small_ip_layer, large_ip_layer, filters):
# TODO Upsample the small input layer using the bilinear_upsample() function.
upsampling_layer = bilinear_upsample(small_ip_layer)
# TODO Concatenate the upsampled and large input layers using layers.concatenate
concatenated_layer = layers.concatenate([upsampling_layer, large_ip_layer])
# TODO Add some number of separable convolution layers
preoutput_layer = separable_conv2d_batchnorm(concatenated_layer, filters)
output_layer = separable_conv2d_batchnorm(preoutput_layer, filters)
return output_layer
Now that you have the encoder and decoder blocks ready, go ahead and build your FCN architecture!
There are three steps:
def fcn_model(inputs, num_classes):
num_f = 32
# TODO Add Encoder Blocks.
# Remember that with each encoder layer, the depth of your model (the number of filters) increases.
encode1 = encoder_block(input_layer=inputs, filters=num_f, strides=2)
encode2 = encoder_block(input_layer=encode1, filters=num_f*2, strides=2)
encode3 = encoder_block(input_layer=encode2, filters=num_f*4, strides=2)
# TODO Add 1x1 Convolution layer using conv2d_batchnorm().
conv_layer = conv2d_batchnorm(input_layer=encode3, filters=num_f*4, kernel_size=1, strides=1)
# TODO: Add the same number of Decoder Blocks as the number of Encoder Blocks
decode1 = decoder_block(small_ip_layer=conv_layer, large_ip_layer=encode2, filters=num_f*4)
decode2 = decoder_block(small_ip_layer=decode1, large_ip_layer=encode1, filters=num_f*2)
decode3 = decoder_block(small_ip_layer=decode2, large_ip_layer=inputs, filters=num_f)
# The function returns the output layer of your model. "x" is the final layer obtained from the last decoder_block()
output = layers.Conv2D(num_classes, 1, activation='softmax', padding='same')(decode3)
print(inputs)
print(encode1)
print(encode2)
print(encode3)
print(conv_layer)
print(decode1)
print(decode2)
print(decode3)
print(output)
return output
The following cells will use the FCN you created and define an ouput layer based on the size of the processed image and the number of classes recognized. You will define the hyperparameters to compile and train your model.
Please Note: For this project, the helper code in data_iterator.py
will resize the copter images to 160x160x3 to speed up training.
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
image_hw = 160
image_shape = (image_hw, image_hw, 3)
inputs = layers.Input(image_shape)
num_classes = 3
# Call fcn_model()
output_layer = fcn_model(inputs, num_classes)
Define and tune your hyperparameters.
# learning_rate = 0.001
# batch_size = 100
# num_epochs = 10
# steps_per_epoch = 200
# validation_steps = 50
# workers = 2
# final_IoU 0.426, final_score 0.306
# adding extra separable convolution layer in decoder block and
# extra layers for encoding and decoding
# final_IoU 0.528, final_score 0.382
# num_training = 4131
# num_validation = 1184
# learning_rate = 0.001
# batch_size = 50
# num_epochs = 20
# steps_per_epoch = num_training // batch_size + 1
# validation_steps = num_validation // batch_size + 1
# workers = 10
# final_IoU 0.529, final_score 0.383
# num_training = 4131
# num_validation = 1184
# learning_rate = 0.002
# batch_size = 40
# num_epochs = 40
# steps_per_epoch = num_training // batch_size + 1
# validation_steps = num_validation // batch_size + 1
# workers = 10
# final_IoU 0.532, final_score 0.398
learning_rate = 0.001
batch_size = 100
num_epochs = 10
steps_per_epoch = 200
validation_steps = 50
workers = 10
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
# Define the Keras model and compile it for training
model = models.Model(inputs=inputs, outputs=output_layer)
model.compile(optimizer=keras.optimizers.Adam(learning_rate), loss='categorical_crossentropy')
# Data iterators for loading the training and validation data
train_iter = data_iterator.BatchIteratorSimple(batch_size=batch_size,
data_folder=os.path.join('..', 'data', 'train'),
image_shape=image_shape,
shift_aug=True)
val_iter = data_iterator.BatchIteratorSimple(batch_size=batch_size,
data_folder=os.path.join('..', 'data', 'validation'),
image_shape=image_shape)
logger_cb = plotting_tools.LoggerPlotter()
callbacks = [logger_cb]
model.fit_generator(train_iter,
steps_per_epoch = steps_per_epoch, # the number of batches per epoch,
epochs = num_epochs, # the number of epochs to train for,
validation_data = val_iter, # validation iterator
validation_steps = validation_steps, # the number of batches to validate on
callbacks=callbacks,
workers = workers)
# Save your trained model weights
weight_file_name = 'model_weights'
model_tools.save_network(model, weight_file_name)
Now that you have your model trained and saved, you can make predictions on your validation dataset. These predictions can be compared to the mask images, which are the ground truth labels, to evaluate how well your model is doing under different conditions.
There are three different predictions available from the helper code provided:
# If you need to load a model which you previously trained you can uncomment the codeline that calls the function below.
# weight_file_name = 'model_weights'
# restored_model = model_tools.load_network(weight_file_name)
The following cell will write predictions to files and return paths to the appropriate directories.
The run_num
parameter is used to define or group all the data for a particular model run. You can change it for different runs. For example, 'run_1', 'run_2' etc.
run_num = 'run_1'
val_with_targ, pred_with_targ = model_tools.write_predictions_grade_set(model,
run_num,'patrol_with_targ', 'sample_evaluation_data')
val_no_targ, pred_no_targ = model_tools.write_predictions_grade_set(model,
run_num,'patrol_non_targ', 'sample_evaluation_data')
val_following, pred_following = model_tools.write_predictions_grade_set(model,
run_num,'following_images', 'sample_evaluation_data')
Now lets look at your predictions, and compare them to the ground truth labels and original images. Run each of the following cells to visualize some sample images from the predictions in the validation set.
# images while following the target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','following_images', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
# images while at patrol without target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','patrol_non_targ', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
# images while at patrol with target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','patrol_with_targ', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
Evaluate your model! The following cells include several different scores to help you evaluate your model under the different conditions discussed during the Prediction step.
# Scores for while the quad is following behind the target.
true_pos1, false_pos1, false_neg1, iou1 = scoring_utils.score_run_iou(val_following, pred_following)
# Scores for images while the quad is on patrol and the target is not visable
true_pos2, false_pos2, false_neg2, iou2 = scoring_utils.score_run_iou(val_no_targ, pred_no_targ)
# This score measures how well the neural network can detect the target from far away
true_pos3, false_pos3, false_neg3, iou3 = scoring_utils.score_run_iou(val_with_targ, pred_with_targ)
# Sum all the true positives, etc from the three datasets to get a weight for the score
true_pos = true_pos1 + true_pos2 + true_pos3
false_pos = false_pos1 + false_pos2 + false_pos3
false_neg = false_neg1 + false_neg2 + false_neg3
weight = true_pos/(true_pos+false_neg+false_pos)
print(weight)
# The IoU for the dataset that never includes the hero is excluded from grading
final_IoU = (iou1 + iou3)/2
print(final_IoU)
# And the final grade score is
final_score = final_IoU * weight
print(final_score)


Man accused of peeping into bathroom stalls in Long Island Verizon building
by Eyewitness NewsGARDEN CITY, Nassau County (WABC) -- A 32-year-old man is facing charges after police say he was caught peeping into bathroom stalls inside a building on Long Island.
Jamali Johnson is facing public lewdness and drug charges.
Police say a woman saw him looking under the stalls in the women's restroom at the Verizon building on Zeckendorf Boulevard in Garden City.
He was arrested at his home on Tuesday.
Detectives request that anyone that feels they have been the victim of such an incident contact Nassau County Crime Stoppers at 1-800-244-TIPS or call 911.


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