Scheme
This document contains API scheme for jenkins-operator
manifest
Packages:
jenkins.io
Package v1alpha2 contains the API Schema definitions for the jenkins.io v1alpha2 API group
Resource Types:Jenkins
Jenkins is the Schema for the jenkins API
| Field | Description | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
apiVersion
string |
jenkins.io/v1alpha2
|
||||||||||||
kind
string
|
Jenkins |
||||||||||||
metadata
Kubernetes meta/v1.ObjectMeta
|
Refer to the Kubernetes API documentation for the fields of the
metadata field.
|
||||||||||||
spec
JenkinsSpec
|
Spec defines the desired state of the Jenkins
|
||||||||||||
status
JenkinsStatus
|
Status defines the observed state of Jenkins |
Backup
(Appears on: JenkinsSpec)
Backup defines the configuration of Jenkins backup
| Field | Description |
|---|---|
containerName
string
|
ContainerName is the container name responsible for backup operation |
action
Handler
|
Action defines the action which performs the backup in the backup container sidecar |
interval
uint64
|
Interval tells you how often the backup is made in seconds Defaults to 30. |
makeBackupBeforePodDeletion
bool
|
MakeBackupBeforePodDeletion tells the operator to make a backup before Jenkins master pod deletion |
Build
(Appears on: JenkinsStatus)
Build defines the Jenkins Build status with corresponding metadata
| Field | Description |
|---|---|
jobName
string
|
JobName is the Jenkins job name |
hash
string
|
Hash is the unique data identifier used in build |
number
int64
|
Number is the Jenkins build number |
status
BuildStatus
|
Status is the status of a Jenkins build |
retries
int
|
Retires is the amount of times a Jenkins job build retries |
createTime
Kubernetes meta/v1.Time
|
CreateTime is the time when the first build has been created |
lastUpdateTime
Kubernetes meta/v1.Time
|
LastUpdateTime is the last update status time |
BuildStatus
(string
alias)
(Appears on: Build)
BuildStatus defines the type of Jenkins build job status
Container
(Appears on: JenkinsMaster)
Container defines the Kubernetes container attributes
| Field | Description |
|---|---|
name
string
|
Name of the container specified as a DNS_LABEL. Each container in a pod must have a unique name (DNS_LABEL). |
image
string
|
Docker image name. More info: https://kubernetes.io/docs/concepts/containers/images |
imagePullPolicy
Kubernetes core/v1.PullPolicy
|
Image pull policy. One of Always, Never, IfNotPresent. Defaults to Always. |
resources
Kubernetes core/v1.ResourceRequirements
|
Compute Resources required by this container. More info: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/ |
command
[]string
|
(Optional)
Entrypoint array. Not executed within a shell. The docker image’s ENTRYPOINT is used if this is not provided. Variable references $(VAR_NAME) are expanded using the container’s environment. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not. More info: https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#running-a-command-in-a-shell |
args
[]string
|
(Optional)
Arguments to the entrypoint. The docker image’s CMD is used if this is not provided. Variable references $(VAR_NAME) are expanded using the container’s environment. If a variable cannot be resolved, the reference in the input string will be unchanged. The $(VAR_NAME) syntax can be escaped with a double $$, ie: $$(VAR_NAME). Escaped references will never be expanded, regardless of whether the variable exists or not. More info: https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#running-a-command-in-a-shell |
workingDir
string
|
(Optional)
Container’s working directory. If not specified, the container runtime’s default will be used, which might be configured in the container image. |
ports
[]Kubernetes core/v1.ContainerPort
|
(Optional)
List of ports to expose from the container. Exposing a port here gives the system additional information about the network connections a container uses, but is primarily informational. Not specifying a port here DOES NOT prevent that port from being exposed. Any port which is listening on the default “<IP_ADDRESS>” address inside a container will be accessible from the network. |
envFrom
[]Kubernetes core/v1.EnvFromSource
|
(Optional)
List of sources to populate environment variables in the container. The keys defined within a source must be a C_IDENTIFIER. All invalid keys will be reported as an event when the container is starting. When a key exists in multiple sources, the value associated with the last source will take precedence. Values defined by an Env with a duplicate key will take precedence. |
env
[]Kubernetes core/v1.EnvVar
|
(Optional)
List of environment variables to set in the container. |
volumeMounts
[]Kubernetes core/v1.VolumeMount
|
(Optional)
Pod volumes to mount into the container’s filesystem. |
livenessProbe
Kubernetes core/v1.Probe
|
(Optional)
Periodic probe of container liveness. The container will be restarted if the probe fails. |
readinessProbe
Kubernetes core/v1.Probe
|
(Optional)
Periodic probe of container service readiness. The container will be removed from service endpoints if the probe fails. |
lifecycle
Kubernetes core/v1.Lifecycle
|
(Optional)
Actions that the management system should take in response to container lifecycle events. |
securityContext
Kubernetes core/v1.SecurityContext
|
(Optional)
Security options the pod should run with. More info: https://kubernetes.io/docs/concepts/policy/security-context/ More info: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/ |
Handler
Handler defines a specific action that should be taken
| Field | Description |
|---|---|
exec
Kubernetes core/v1.ExecAction
|
Exec specifies the action to take. |
JenkinsCredentialType
(string
alias)
(Appears on: SeedJob)
JenkinsCredentialType defines type of Jenkins credential used in the seed job mechanism
JenkinsMaster
(Appears on: JenkinsSpec)
JenkinsMaster defines the Jenkins master pod attributes and plugins, every single change requires a Jenkins master pod restart
| Field | Description |
|---|---|
masterAnnotations
map[string]string
|
(Optional)
Annotations is an unstructured key value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: http://kubernetes.io/docs/user-guide/annotations |
nodeSelector
map[string]string
|
(Optional)
NodeSelector is a selector which must be true for the pod to fit on a node. Selector which must match a node’s labels for the pod to be scheduled on that node. More info: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/ |
securityContext
Kubernetes core/v1.PodSecurityContext
|
(Optional)
SecurityContext that applies to all the containers of the Jenkins Master. As per kubernetes specification, it can be overridden for each container individually. Defaults to: runAsUser: 1000 fsGroup: 1000 |
containers
[][]github.com/jenkinsci/kubernetes-operator/pkg/apis/jenkins/v1alpha2.Container
|
List of containers belonging to the pod. Containers cannot currently be added or removed. There must be at least one container in a Pod. Defaults to: - image: jenkins/jenkins:lts imagePullPolicy: Always livenessProbe: failureThreshold: 12 httpGet: path: /login port: http scheme: HTTP initialDelaySeconds: 80 periodSeconds: 10 successThreshold: 1 timeoutSeconds: 5 name: jenkins-master readinessProbe: failureThreshold: 3 httpGet: path: /login port: http scheme: HTTP initialDelaySeconds: 30 periodSeconds: 10 successThreshold: 1 timeoutSeconds: 1 resources: limits: cpu: 1500m memory: 3Gi requests: cpu: “1” memory: 600Mi |
volumes
[]Kubernetes core/v1.Volume
|
(Optional)
List of volumes that can be mounted by containers belonging to the pod. More info: https://kubernetes.io/docs/concepts/storage/volumes |
basePlugins
[][]github.com/jenkinsci/kubernetes-operator/pkg/apis/jenkins/v1alpha2.Plugin
|
BasePlugins contains plugins required by operator Defaults to : - name: kubernetes version: 1.15.7 - name: workflow-job version: “2.32” - name: workflow-aggregator version: “2.6” - name: git version: 3.10.0 - name: job-dsl version: “1.74” - name: configuration-as-code version: “1.19” - name: configuration-as-code-support version: “1.19” - name: kubernetes-credentials-provider version: 0.12.1 |
plugins
[][]github.com/jenkinsci/kubernetes-operator/pkg/apis/jenkins/v1alpha2.Plugin
|
(Optional)
Plugins contains plugins required by user |
JenkinsSpec
(Appears on: Jenkins)
JenkinsSpec defines the desired state of the Jenkins
| Field | Description |
|---|---|
master
JenkinsMaster
|
Master represents the Jenkins master pod properties and Jenkins plugins. Every single change here requires a pod restart. |
seedJobs
[][]github.com/jenkinsci/kubernetes-operator/pkg/apis/jenkins/v1alpha2.SeedJob
|
(Optional)
SeedJobs defines list of Jenkins Seed Job configurations More info: https://github.com/jenkinsci/kubernetes-operator/blob/master/docs/getting-started.md#configure-seed-jobs-and-pipelines |
service
Service
|
(Optional)
Service is the Kubernetes service of the Jenkins master HTTP pod Defaults to : port: 8080 type: ClusterIP |
slaveService
Service
|
(Optional)
Service is the Kubernetes service of the Jenkins slave pods Defaults to : port: 50000 type: ClusterIP |
backup
Backup
|
(Optional)
Backup defines the configuration of the Jenkins backup More info: https://github.com/jenkinsci/kubernetes-operator/blob/master/docs/getting-started.md#configure-backup-and-restore |
restore
Restore
|
(Optional)
Backup defines the configuration of the Jenkins backup restore More info: https://github.com/jenkinsci/kubernetes-operator/blob/master/docs/getting-started.md#configure-backup-and-restore |
JenkinsStatus
(Appears on: Jenkins)
JenkinsStatus defines the observed state of Jenkins
| Field | Description |
|---|---|
operatorVersion
string
|
(Optional)
OperatorVersion is the operator version which manages this CR |
provisionStartTime
Kubernetes meta/v1.Time
|
(Optional)
ProvisionStartTime is a time when the Jenkins master pod has been created |
baseConfigurationCompletedTime
Kubernetes meta/v1.Time
|
(Optional)
BaseConfigurationCompletedTime is a time when Jenkins base configuration phase has been completed |
userConfigurationCompletedTime
Kubernetes meta/v1.Time
|
(Optional)
UserConfigurationCompletedTime is a time when Jenkins user configuration phase has been completed |
builds
[][]github.com/jenkinsci/kubernetes-operator/pkg/apis/jenkins/v1alpha2.Build
|
(Optional)
Builds contains the Jenkins builds statues |
restoredBackup
uint64
|
(Optional)
RestoredBackup is the restored backup number after the Jenkins master pod restart |
lastBackup
uint64
|
(Optional)
LastBackup is the latest backup number |
pendingBackup
uint64
|
(Optional)
PendingBackup is the pending backup number |
backupDoneBeforePodDeletion
bool
|
(Optional)
BackupDoneBeforePodDeletion tells if a backup before pod deletion has been made |
userAndPasswordHash
string
|
(Optional)
UserAndPasswordHash is a SHA256 hash made from the username and password |
createdSeedJobs
[]string
|
(Optional)
CreatedSeedJobs contains list of seed job ids already created in Jenkins |
Plugin
(Appears on: JenkinsMaster)
Plugin defines Jenkins plugin
| Field | Description |
|---|---|
name
string
|
Name is the name of the Jenkins plugin |
version
string
|
Version is the version of the Jenkins plugin |
Restore
(Appears on: JenkinsSpec)
Restore defines the configuration of a Jenkins backup restore operation
| Field | Description |
|---|---|
containerName
string
|
ContainerName is the container name responsible for the restore backup operation |
action
Handler
|
Action defines action which performs the restore backup in a restore container sidecar |
recoveryOnce
uint64
|
(Optional)
RecoveryOnce if you want to restore a specific backup, set this field, and then Jenkins will be restarted and the desired backup will be restored |
SeedJob
(Appears on: JenkinsSpec)
SeedJob defines configuration for seed job More info: https://github.com/jenkinsci/kubernetes-operator/blob/master/docs/getting-started.md#configure-seed-jobs-and-pipelines
| Field | Description |
|---|---|
id
string
|
ID is the unique seed job name |
credentialID
string
|
CredentialID is the Kubernetes secret name which stores repository access credentials |
description
string
|
(Optional)
Description is the description of the seed job |
targets
string
|
Targets is the repository path where the seed job definitions are |
repositoryBranch
string
|
RepositoryBranch is the repository branch where the seed job definitions are |
repositoryUrl
string
|
RepositoryURL is the repository access URL. Can be SSH or HTTPS. |
credentialType
JenkinsCredentialType
|
(Optional)
JenkinsCredentialType is the https://jenkinsci.github.io/kubernetes-credentials-provider-plugin/ credential type |
Service
(Appears on: JenkinsSpec)
Service defines the Kubernetes service attributes
| Field | Description |
|---|---|
annotations
map[string]string
|
(Optional)
Annotations is an unstructured key value map stored with a resource that may be set by external tools to store and retrieve arbitrary metadata. They are not queryable and should be preserved when modifying objects. More info: http://kubernetes.io/docs/user-guide/annotations |
labels
map[string]string
|
Route service traffic to pods with label keys and values matching this selector. If empty or not present, the service is assumed to have an external process managing its endpoints, which Kubernetes will not modify. Only applies to types ClusterIP, NodePort, and LoadBalancer. Ignored if type is ExternalName. More info: https://kubernetes.io/docs/concepts/services-networking/service/ |
type
Kubernetes core/v1.ServiceType
|
(Optional)
Type determines how the Service is exposed. Defaults to ClusterIP. Valid options are ExternalName, ClusterIP, NodePort, and LoadBalancer. “ExternalName” maps to the specified externalName. “ClusterIP” allocates a cluster-internal IP address for load-balancing to endpoints. Endpoints are determined by the selector or if that is not specified, by manual construction of an Endpoints object. If clusterIP is “None”, no virtual IP is allocated and the endpoints are published as a set of endpoints rather than a stable IP. “NodePort” builds on ClusterIP and allocates a port on every node which routes to the clusterIP. “LoadBalancer” builds on NodePort and creates an external load-balancer (if supported in the current cloud) which routes to the clusterIP. More info: https://kubernetes.io/docs/concepts/services-networking/service/#publishing-services—service-types |
port
int32
|
The port that is exposed by this service. More info: https://kubernetes.io/docs/concepts/services-networking/service/#virtual-ips-and-service-proxies |
nodePort
int32
|
(Optional)
The port on each node on which this service is exposed when type=NodePort or LoadBalancer. Usually assigned by the system. If specified, it will be allocated to the service, if unused, or else creation of the service will fail. Default is to auto-allocate a port if the ServiceType of this Service requires one. More info: https://kubernetes.io/docs/concepts/services-networking/service/#type-nodeport |
loadBalancerSourceRanges
[]string
|
(Optional)
If specified and supported by the platform, this will restrict traffic through the cloud-provider. The load-balancer will be restricted to the specified client IPs. This field will be ignored if the cloud-provider does not support the feature.” More info: https://kubernetes.io/docs/tasks/access-application-cluster/configure-cloud-provider-firewall/ |
loadBalancerIP
string
|
(Optional)
Only applies to Service Type: LoadBalancer LoadBalancer will get created with the IP specified in this field. This feature depends on whether the underlying cloud-provider supports specifying the loadBalancerIP when a load balancer is created. This field will be ignored if the cloud-provider does not support the feature. |
Generated with gen-crd-api-reference-docs
on git commit 37e531a
.


MdSnackBarModule
Service to dispatch Material Design snack bar messages.
| openFromComponent | |
|---|---|
| Creates and dispatches a snack bar with a custom component for the content, removing any currently opened snack bars. | |
| Parameters | |
|
component ComponentType<T>
|
Component to be instantiated. |
|
config? MdSnackBarConfig
|
Extra configuration for the snack bar. |
| Returns | |
MdSnackBarRef<T>
|
| open | |
|---|---|
| Opens a snackbar with a message and an optional action. | |
| Parameters | |
|
message string
|
The message to show in the snackbar. |
|
action? any
|
The label for the snackbar action. |
|
config? MdSnackBarConfig
|
Additional configuration options for the snackbar. |
| Returns | |
MdSnackBarRef<SimpleSnackBar>
|
Configuration used when opening a snack-bar.
| Name | Description |
|---|---|
politeness
|
The politeness level for the MdAriaLiveAnnouncer announcement. |
announcementMessage
|
Message to be announced by the MdAriaLiveAnnouncer |
viewContainerRef
|
The view container to place the overlay for the snack bar into. |
duration
|
The length of time in milliseconds to wait before automatically dismissing the snack bar. |
Reference to a snack bar dispatched from the snack bar service.
| Name | Description |
|---|---|
instance
|
The instance of the component making up the content of the snack bar. |
| dismiss | |
|---|---|
| Dismisses the snack bar. |
| afterDismissed | |
|---|---|
| Gets an observable that is notified when the snack bar is finished closing. | |
| Returns | |
Observable<void>
|
| afterOpened | |
|---|---|
| Gets an observable that is notified when the snack bar has opened and appeared. | |
| Returns | |
Observable<void>
|
| onAction | |
|---|---|
| Gets an observable that is notified when the snack bar action is called. | |
| Returns | |
Observable<void>
|


About Jackform v@JACKFORMER_VERSION@
Jackform is a simple transformation tool, consisting of a backing web app and
small Javascript user interface.
Transformation backend is based on Jackson library (version @JACKSON_VERSION@)
and exposes most of dataformats supported by various Jackson dataformat modules.
About Author
Jackform was written by Tatu Saloranta<EMAIL_ADDRESS>aka
@cowtowncoder)
who is also the lead
developer of Jackson library, as well as many other Open Source Java libraries.
Legal stuff
Jackform is © (2021-) by Tatu Saloranta. It is licensed under
Apache License.
You can get Jackformer source code from its
Github repository.
Icons


How Apple Can Solve Freemium Creep: The Freemium Ghetto
Count the problems in this picture:
I count eight, not including my crying-out-for-a-lightning-cable battery life and the one-bar reception on Rogers.1
Eight of the top ten “Free” iPhone apps are not free at all. They contain in-app purchases. Apple generously spells it out for us—in size 8-pt. Helvetica Neue, in text a shade darker than the white background,underneath big blue buttons that scream FREE.
-
For Americans: Pretend AT&T and Fox Broadcasting had a Canadian baby out of wedlock. That’s Rogers. One part Big Telecom, one part Big Media. ↩


$products_total_price = isset($this->vars['products_total_price'])? $this->vars['products_total_price']:$model->total_price ?>
if($this->vars['formContext'] != 'preview'): ?> Add item


List w/ Viewport Decorator in Paging mode
Previous
Next
List w/ Viewport Decorator in Sliding mode
Previous
Next
Carousel w/ Viewport Decorator in Paging mode with autoplay
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Put module, controller and factory in separate files.
Why? Files can become large over time so it makes perfect sense to create a separate JS file for the module, controller and factory methods. Putting all your methods in one file would look unorganised and be a dread for the next developer the work with.
So with all due respect, avoid:
/* All your mehtods in a single file */ angular .module('app', ['ngRoute']) .controller('SomeController', SomeController) .factory('someFactory', someFactory); function SomeController() { } function someFactory() { }
Permit and apply:
/* All your mehtods in separate files */ // app.module.js angular .module('app', ['ngRoute']); // some.controller.js angular .module('app') .controller('SomeController', SomeController); function SomeController() { } // someFactory.js angular .module('app') .factory('someFactory', someFactory); function someFactory() { }
Take a look at this file structure of how it should look:
app (folder) --- views (folder) ------ home (folder) --------- home.html --------- home.js --------- home_test.js --- app.config.js --- app.module.js --- app.controller.js --- app.factory.js
So you see I've gone and created a couple of central JS files for my application. Views however, also have a controller of their own for this controller contains specific code to be binded by that view. Take a look at the contents of home.js:
'use strict'; angular.module('myApp.home', ['ngRoute']) .config(['$routeProvider', function($routeProvider) { $routeProvider.when('/views/home', { templateUrl: 'views/home/home.html', controller: 'HomeCtrl' }); }]) .controller('HomeCtrl', [function() { }]);
We see here that the routeprovider has been defined so that the browser will load the relevant template when the url changes. We also see that it's now also possible to define a controller for this views straight from within the view folder.


Based on a discussion from StackOverflow.
 The most common sane reason to do this is for debugging or profiling. For instance, you might want to log every time the various NSNotificationCenter
methods are called so you can determine if that’s a performance bottleneck. (As I discovered myself, if you have thousands of notification observations in your system, it can be a serious performance problem.)
In most OOP languages your only option would be to subclass the object you want to instrument and then arrange for every instance of that object to be your subclass. In many cases that’s either very difficult or outright impossible, particularly if the object is used internally by a system framework. But Objective-C is highly dynamic, and message dispatching is resolved at runtime. You can modify how it works.
On Mac, there is an NSObject
method called poseAsClass:
that can achieve this easily. Unfortunately, it’s deprecated in 10.5 and isn’t available at all for Mac 64-bit and iPhone. I want a technique that I can use reliably for all my platforms, and luckily there is a fully supported alternative: method_exchangeImplemenations()
.
So how do we use it? First, we create a category on our target (NSNotificationCenter):
@interface NSNotificationCenter (RNHijack)
+ (void)hijack;
@end
@implementation NSNotificationCenter (RNHijack)
+ (void)hijackSelector:(SEL)originalSelector withSelector:(SEL)newSelector
{
Class class = [NSNotificationCenter class];
Method originalMethod = class_getInstanceMethod(class, originalSelector);
Method categoryMethod = class_getInstanceMethod(class, newSelector);
method_exchangeImplementations(originalMethod, categoryMethod);
}
+ (void)hijack
{
[self hijackSelector:@selector(removeObserver:)
withSelector:@selector(RNHijack_removeObserver:)];
}
- (void)RNHijack_removeObserver:(id)notificationObserver
{
NSLog(@"Removing observer: %@", notificationObserver);
[self RNHijack_removeObserver:notificationObserver];
}
Then, somewhere early in my program, I call [NSNotificationCenter hijack]
. Now, every removeObserver:
message is logged, no matter who sends it, even inside Cocoa itself. To make sure that I catch everything, I often put this in main.m, before the call to ‘NSApplicationMain()’.
The line to pay particular notice to is the apparent infinite loop in RNHijack_removeObserver:
that seems to call itself. Why does this work? Because method_exchangeImplementation() swaps the two implementations. The old removeObserver:
now points to my implementation, but conversely RNHijack_removeObserver:
points to the old implementation.
It is hard to imagine code that is more confusing and fragile than this, which is why this technique must be used with the utmost care. Personally I can’t imagine using this outside of debugging and profiling. But when you need it, it is an incredibly powerful tool.


Add build
Name
Cpu
Gpu
Actions
"; $tableRows = $tableRows . "
".$build["name"]."
".$build["cpu"]."
".$build["gpu"]."
"; $tableRows = $tableRows . "
View Details
Edit
Delete
"; $tableRows = $tableRows . ""; }; echo $tableRows; ?>


Paper: arXiv
Authors: Ye Jia, Heiga Zen, Jonathan Shen, Yu Zhang, Yonghui Wu.
Abstract: This paper introduces PnG BERT, a new encoder model for neural TTS. This model is augmented from the original BERT model, by taking both phoneme and grapheme representations of text as input, as well as the word-level alignment between them. It can be pre-trained on a large text corpus in a self-supervised manner, and fine-tuned in a TTS task. Experimental results show that a neural TTS model using a pre-trained PnG BERT as its encoder yields more natural prosody and more accurate pronunciation than a baseline model using only phoneme input with no pre-training. Subjective side-by-side preference evaluations show that raters have no statistically significant preference between the speech synthesized using a PnG BERT and ground truth recordings from professional speakers.
Click here for more from the Tacotron team.
In Section 1 in the paper, we described an example input "To cancel the payment, press one; or to continue, two.", which is a pattern that used frequently by conversational AI agents for call centers. In the phoneme representation of this sentence, the trailing "..., two." can be easily confused with "..., too.", which is used more frequently in English. However, in natural speech, different prosody is expected at the comma positions in these two patterns.
The baseline NAT is a state-of-the-art duration-based neural TTS model that takes phoneme as input. Clearly, it suffers from such ambiguity of the phoneme representation on the homophones and thus produces speech that sounds confusing. In contrast, using PnG BERT as the encoder for NAT produces natural speech without confusion.
| NAT w/ PnG BERT | NAT (baseline) |
|---|---|
These examples correspond to the side-by-side preferece test in Table 2 in the paper. They are cherry-picked to be representative.
| Positive examples | |
| NAT w/ PnG BERT | NAT (baseline) |
|---|---|
| 1: Here's a birthday present. | |
| 2: That soccer mom is also a piano teacher. | |
| 3: Did you put it in a salad bowl? | |
| 4: Take your Vitamin B complex when you wake up. | |
| 5: Window shopping can be such a tease. | |
| Negative examples | |
| NAT w/ PnG BERT | NAT (baseline) |
| 1: Meet Mr. Potato Head. | |
| 2: You need to take the long view, career-wise. | |
| 3: How about a back rub? | |
| 4: Performance reviews are stressful, time-consuming, and often meaningless. | |
| 5: Hand me the movie reviews. | |
These examples correspond to the side-by-side preferece test in Table 3 in the paper. They are cherry-picked to be representative.
| Positive examples | |
| NAT w/ PnG BERT | Human recording |
|---|---|
| 1: Dirty bomb. A nuclear weapon improvised from radioactive nuclear waste material and conventional explosives. | |
| 2: The Omnibus Cartel Repeal Act Law Number Six will be on the bar exam. | |
| 3: My food is in the oven, since I'm working from home today. | |
| 4: Is Canada assuming him to be guilty? | |
| 5: Tina Fey's children are Alice Zenobia Richmond and Penelope Athena Richmond. | |
| Negative examples | |
| NAT w/ PnG BERT | Human recording |
| 1: Finn. A native or inhabitant of Finland or a person of Finnish descent. | |
| 2: Ok, pictures of teal nail polish with white polka dots. | |
| 3: According to English Grammar Revolution, there is an adverb describing the verb eat. | |
| 4: Bubble, bubble, toil, and... this thing. | |
| 5: I wish I had arms so I could give you a hug. But for now maybe a joke or some music might help. | |


Sometime ago I started working on pub0sub - Fast, Light-weight, Ordered
Pub/Sub
System --- built on top of async I/O, leveraging power of kernel event loop.
The main idea behind it was to write a software ( along with SDK ) which can be used for publishing
arbitrary length binary messages to N-many
topics; subscribing to N-many topics --- listening for messages published on each of them; and last
but not least
one powerful Pub/Sub Hub ( i.e. Router ) which will easily solve C10K by leveraging power of async
I/O.
The aforementioned problem statement is solved, which is why I decided to update problem statement.
Now it looks like pub0sub - Distributed, Fast, Light-weight, Ordered Pub/Sub
System --- solving
C1M easily while leveraging power of kernel event loop & p2p networking.
By making pub0sub distributed, I get to handle 1M concurrent
connection
where nodes form a mesh network for chatting about topic interest(s) & forward messages when need to
--- a collaborative effort among peers.
I choose to use libp2p for networking purpose, for being so modular
--- enabling easy horizontal
scalability, while taking care of stream multiplexing, security, peer-discovery etc.
Here I propose primary design of system !
Multiple pub0sub nodes can discover & connect to each other using DHT ( distributed hash table ) powered peer discovery mechanism, built right into libp2p and eventually form a mesh network. If network has N participant(s), each participant is going to maintain connection with other N-1 peer(s), where N > 0. These participants of p2p network are going to chat with each other over bi-directional stream. Things nodes need to talk about 👇
| Operation | Interpretation |
|---|---|
| Topic subscription | Letting peers know of interest in some topics |
| Topic subscription ACK | Peer saying it has noted down & will forward published messages if sees any |
| Topic unsubscription | Announcing not interested in topics anymore |
| Topic unsubscription ACK | Peer saying it has removed entry & will no more forward published messages |
| Published message forwarding | Passing published message to interested peer |
| Periodic heartbeat | Network health check |
As each of aforementioned operations require to pass different message formats, I'm going to define respective wire formats. But before I get into wire format, writing to/ reading from stream I'd like to spend some time in going through high level overview of network operation.
Say, two nodes form a cluster --- one node has a topic_1 subscriber connected to it while
other one has a publisher connected to it, willing to publish message on topic_1. After
first node finds out, it has one subscriber interested in messages from topic_1, it decides
to ask its peer 0hub node, if it sees any message targeted to
topic_1, it should inform requester. Publisher sends publish intent to network, which
triggers
event saying network has received some message on topic_1 for which first node has interested
subscriber.
Two nodes chat over p2p network, resulting into message forwarding, which enables first node
to deliver message published on topic_1 to its subscriber.
When noticed carefully, network follows certain protocols
Let's take another scenario.
Continuing previous scenario, after sometime subscriber doesn't anymore want to receive
messages published on topic_1, so it sends unsubscription intent to network. As a result
of it, respective 0hub node decides to broadcast same to network, because it found it doesn't have any other
subscribers who're interested in messages of topic_1. All peers who kept record of this node
being interested in topic_1, updates their respective interest table, ensuring when in future
it receives message published on topic_1, it won't forward to first peer.
This way of showing interest to topics when peers has some subscribers to feed or
announcing not interested anymore when all subscribers of certain topic unsubscribes --- allows
network to pass published messages only when needed, eventually consuming lower bandwidth. I call it Lazy
Pushing.
With more peers, network interaction may look like 👇 from high level, where 0hub nodes form p2p mesh network, other participants are mere clients.
Say, one subscriber shows interest in receiving messages from {topic_1, topic_2, topic_3} but the 0hub node it's connected to doesn't have any publisher of any of those topics. As soon as 0hub node learns it has subscriber to feed messages of {topic_1, topic_2, topic_3}, following protocol it announces that intent to other peers. Each of other peers record it & as soon as they receive any message published on any of these topics they forward those to respective peers.
I'll now spend some time in specifying wire-format of messages exchanged between peers.
Each message exchanged between peers over p2p layer, needs to have two parts
Just by reading header part receiver must be able to understand two things
First question can be answered by checking very first byte of message. Each operation is denoted by unique opcode. There're 255 possible opcodes, though only 6 of them are in use as of now.
| Interpretation | Opcode |
|---|---|
| Heartbeat | 1 |
| Topic subscription | 2 |
| Topic subscription ACK | 3 |
| Topic unsubscription | 4 |
| Topic unsubscription ACK | 5 |
| Message Forward | 6 |
By reading next 4 bytes from header, receiver understands how many more bytes it should read from stream
so that it can successfully deserialise message, depending upon opcode. Each opcode denotes
different
message wire-format, resulting into invocation of different deserialisation logic upon reception.
Above is a high level wire-format, which is applicable for each of messages. But I'd like
to define how BODY of message is serialised/ deserialised for different opcodes. Starting
with
how it looks like when announcing interest in listening to some topics.
Note, above image is nothing but magnification of message BODY when opcode ∈ {2, 4}.
Requirement
is peer needs to announce it wants to receive all messages published on topics, because it has
some subscribers interested in those. Receiver side when reading from stream, knows how many
bytes it needs to read from stream for completely consuming BODY.
It starts by reading first 1-byte, where it has instruction encoded how many next bytes it should
read for making one meaningful topic name. Now it has either consumed all bytes of BODY
or some of them are left. If left, it'll again consume 1-byte, carrying instruction for it for
figuring out what's next topic name. This way, it'll keep reading until it has exhausted all bytes
of BODY. By the end it must have successfully constructed structured object in respective
environment, containing topics some peer want to get notified of.
Similar wire-format is followed for serialising BODY when announcing lack of interest in some
topics.
Both of aforementioned opcodes, expect to hear back with ACK messages i.e. opcode ∈ {3, 5}, where
BODY can be encoded by putting binary value denoting success/ failure. These are expected to
be received with in a stipulated time window after interest ( opcode 2 ) / lack of interest ( opcode
4 ) message is sent to peer. If not
received, for opcode 2, it'll be resent upto N-times. If still not received, it results into
connection termination
with peer for not following protocol.
But if peer is waiting for ACK of message with opcode 4, it doesn't resend, because of being low
priority. Of course
it might result into network wasting some bandwidth for passing some published message which could have been
avoided. If any forwarded message
from any topic to which peer is not interested in, is received even after lack of interest message
was broadcast ( opcode 4 )
it can be ignored by receiver. Receiving peer also sends another message to respective peer with
opcode 4, stating it's
not interested in these topics --- just like repeating self. This is done so that next time network can save some bandwidth.
Finally I'll cover how to serialise/ deserialise forwarded message to/ from stream.
Start by reading first byte of BODY, which encodes how many topics this message is being
targeted to.
A message can be targeted to 255 topics at max. Receiver knows how many topics it should be reading
from stream.
So it starts by reading next 1 byte, encoding first topic's byte length. It knows how many next
bytes to be read
for figuring out first topic name. It has just read one topic name. Similarly it'll continue reading
more topic names
until all are read off. After N topic names are read, it'll read 4 bytes, encoding how many next
bytes it needs to
read for extracting out actual message content.
Eventually it'll reach end, constructing structured data by consuming stream. This is how forwarded
messages
are recovered from stream by some peer who showed interest in getting notified when some message is
published
on topics of interest. After getting structured data, receipient 0hub
node can
send message to subscribers connected to it directly, interested in any of topics this message is
published on.
Reader may notice, a slight difference in encoding variable number topic list, between
previous two diagrams.
When encoding to be forwarded message ( opcode 6 ), peer encodes topic count in first 1-byte of
BODY part of message.
This is required, otherwise during deserialisation receiver won't be able to understand where in
stream it should stop
reading topic names & start reading 4-byte lengthy actual message content's length field.
But same is not required for message sent with opcode ∈ {2, 4}, because there's nothing more to read
after topic name list
and receiver already knows length of BODY part of message, so it knows how long to read from
stream.
Let's go through one example
Say 0hub peer want to announce its interest in messages published on
topic_1, topic_2. Serialised message for this operation looks like
| Message Part | Field Name | Field Byte Length | Field Value |
|---|---|---|---|
| Header | Opcode | 1 | 2 |
| Body Length | 4 | 16 | |
| Body | Topic-1 Length | 1 | 7 |
| Topic-1 Name | 7 | topic_1 | |
| Topic-2 Length | 1 | 7 | |
| Topic-2 Name | 7 | topic_2 |
21 bytes of data to be sent to each peer, resulting into (N-1) * 21 bytes of data
broadcast in total, where N > 0 & N is #-of participants in mesh network.
Similarly by following aforementioned example, message of lack of interest to topics ( opcode 4 )
can be published on network.
Finally I'll go through one last example showing serialisation of to be forwarded message i.e.
opcode 6.
Assuming this message is published on topic_1, topic_2 & content of message is
hello.
| Message Part | Field Name | Field Byte Length | Field Value |
|---|---|---|---|
| Header | Opcode | 1 | 6 |
| Body Length | 4 | 26 | |
| Body | Topic Count | 1 | 2 |
| Topic-1 Length | 1 | 7 | |
| Topic-1 Name | 7 | topic_1 | |
| Topic-2 Length | 1 | 7 | |
| Topic-2 Name | 7 | topic_2 | |
| Data Length | 4 | 5 | |
| Data | 5 | hello |
This results into sending 31 bytes of data to each of those peers who showed interest to topic_1, topic_2. Not to all N-1 remaining participants of mesh network --- Lazy Pushing at work.
Peers need to periodically send heartbeat messages for checking health of long-lived network
connections
to other peers. Opcode 1 is reserved for this purpose, where BODY of message ∈ {ping, pong}.
If reader has covered whole proposal, they probably understand this is by no means a final version
of design.
Improvements like not forming strongly connected mesh helps in reducing huge bandwidth cost --- can
be taken into consideration to further
enhance protocol. Message authentication can be added so that peers only accept connection request
from other peers
who are trusted, when such setup is desired.
Existing pub0sub implementation is here.
Your feedback will be invaluable. Have a great time !


Protocols
The following protocols are available globally.
-
A JWT Payload with an expiration time and authentication information
See moreDeclaration
Swift
public protocol ExpireableSubjectPayload : JWTPayload
-
Types conforming to this protocol can create, validate, and verify passwords.
See moreDeclaration
Swift
public protocol HasPassword
-
Types conforming to this protocol can be used for login or register requests.
See moreDeclaration
Swift
public protocol HasReadablePassword
-
Types conforming to this protocol can be used for login or register requests.
See moreDeclaration
Swift
public protocol HasReadableUsername
-
Types conforming to this protocol can be used for change password requests.
See moreDeclaration
Swift
public protocol HasUpdatablePassword
-
Types conforming to this protocol can be used in user update requests.
See moreDeclaration
Swift
public protocol HasUpdatableUsername
-
Types confornming to this protocol will be able to be authenticated through an associated JWT payload.
See moreDeclaration
Swift
public protocol JWTAuthenticatable : Authenticatable
-
Expresses the ability for a type (e.g. a user type) to be logged in.
See moreDeclaration
Swift
public protocol Loginable
-
A protocol expressing the ability for types to be created via a related
Decodable
type.This protocol is intended to be used with
static func create(on req: Request) -> Future<Self>
as defined below. This combines the
preCreate
, decoding of the associatedCreate
type and initialization steps. By default thepreCreate
step does not do anything but it can be overloaded for use in validation, interrupting the creation process in case of invalid data.Sometimes the
See moreCreatable
type is the type that needs to be decoded. In those cases you can useSelfCreatable
(see below). This makes it close to the situation of simply having aDecodable
type but you have the benefit of thepreCreate
step and being able to treat it in the same way as otherCreatable
types.Declaration
Swift
public protocol Creatable
-
A special case of Creatable where the associated
Create
type is the type itself (see the extension below).Declaration
Swift
public protocol SelfCreatable : Creatable, Decodable
-
Undocumented
See moreDeclaration
Swift
public protocol PublicRepresentable


Full Name: Luke Henning
Age: 22
Hometown: San Diego, CA
Height: 6'2"
Favorite Color: Green
Role/Instrument: Bass Guitar, Vocals
Q: If we came to your house, what would you cook us?
A: Paninis. The sandwich is the king of all foods!

A: Taylor without a doubt. He lacks the finance skills we need to build our island banking empire so we can properly hide rich people's money.
Q: What’s your perfect pizza?
A: Lots of meat (no fish) and veggies with goat cheese to top it off.
Q: Growing up, what was your favorite halloween costume?
A: My cardboard Megatron costume in first grade was probably as good as it gets.
Q: Did you ever have music lessons?
A: 6 years. You can never learn too much.
Q: How many ties do you own?
A: I went to Catholic school so I had a pretty extensive collection, probably 20-30 if you count the ones my brother stole.
Q: To people who haven’t listened to your music before, why should they?
A: Why not? Our music is made to be accessible and dancy. We want the whole crowd to be on their feet.
Q: Who’s your biggest musical inspiration?
A: There may be a lot of haters out there but I think Sting (Police years) is one of the greatest bassist/singers of all time. Nobody plays like he does. The pure combination of uniqueness and skill really sets him apart.
Q: Who writes the songs and what are they about?

Q: Which of your songs is your favorite and why?
A: My favorite of our songs is probably "The Bonnie Situation" (yet to be released). It's one of my favorite live ones and it really fun to play.
Q: What quote do you live by/what’s your favorite quote?
A: “Something coming back from the dead was almost always bad news. Movies taught me that. For every one Jesus you get a million zombies.” ― David Wong, (John Dies at the End)


|
Robust Distributed Pose Graph Optimization
This project presents a distributed pose graph optimization approach robust to outlier measurments among the inter-robot loop closures.
|
#include <BetweenChordalFactor.h>
Public Types | |
| typedef VALUE | T |
| typedef boost::shared_ptr< BetweenChordalFactor > | shared_ptr |
Public Member Functions | |
| BetweenChordalFactor () | |
| BetweenChordalFactor (Key key1, Key key2, const VALUE &measured, const SharedNoiseModel &model) | |
| virtual | ~BetweenChordalFactor () |
| virtual gtsam::NonlinearFactor::shared_ptr | clone () const |
| virtual void | print (const std::string &s, const KeyFormatter &keyFormatter=DefaultKeyFormatter) const |
| virtual bool | equals (const NonlinearFactor &expected, double tol=1e-9) const |
| Vector | convertToVector (Matrix R) |
| Vector | evaluateError (const T &pi, const T &pj, boost::optional< Matrix & > Hi=boost::none, boost::optional< Matrix & > Hj=boost::none) const |
| const VALUE & | measured () const |
| std::size_t | size () const |
Private Types | |
| typedef BetweenChordalFactor< VALUE > | This |
| typedef NoiseModelFactor2< VALUE, VALUE > | Base |
Private Member Functions | |
| template<class ARCHIVE > | |
| void | serialize (ARCHIVE &ar, const unsigned int version) |
Private Attributes | |
| VALUE | measured_ |
Friends | |
| class | boost::serialization::access |
A class for a measurement predicted by "between(config[key1],config[key2])", uses Chordal relaxation
| VALUE | the Value type |
|
private |
| typedef boost::shared_ptr<BetweenChordalFactor> gtsam::BetweenChordalFactor< VALUE >::shared_ptr |
The measurement
| typedef VALUE gtsam::BetweenChordalFactor< VALUE >::T |
|
private |
|
inline |
default constructor - only use for serialization
|
inline |
Constructor
|
inlinevirtual |
|
inlinevirtual |
|
inline |
|
inlinevirtual |
equals
|
inline |
vector of errors
|
inline |
return the measured
|
inlinevirtual |
implement functions needed for Testable print
|
inlineprivate |
|
inline |
number of variables attached to this factor
|
friend |
Serialization function
|
private |


Expected: red background
Expected: red background with blue text
Expected: red background with blue text and orange border
Expected: red background with blue text and orange border and 20px padding
red background
white text
orange border & gray background


Upload retro computer floppy images to view their contents,
download single files or the entire content as a zip archive.
Currently, the following floppy image formats are supported:
- Atari ST:
- Commodore Amiga:
- Commodore 64:
- MS DOS:
This project is based on the "retroio" Java library. For more information, check out
the Github project.


The Course
The course is 5000m (5K) long. The course is at Aberdare Park, Aberdare. The course is run entirely on tarmac paths. Some sections of the course may accumulate mud, leaves and puddles after rain. Dependent on availability, marshals will be at key sections of the course, or signs will be in place.
Please remember that the parkrun uses shared paths. For the continued success of the event, please give way to other park users. This won't hurt your time, it won't stop you from getting a PB and it will make sure everyone continues to enjoy the event.
Please, wherever possible walk, jog, cycle or use public transport when attending the event. If you do have to drive, please consider car-sharing to reduce our impact on both the environment and other park users. Please also watch out for other park users when arriving and leaving. Parking may be limited so try to arrive early.
Course Safety
The Aberdare parkrun is a fun, free event organised by volunteers for the benefit of everyone. We wish to make the run as safe as possible, so runners, spectators and helpers are asked to take care about the following:
- Please be considerate to the park and other park users at all times.
- Children under the age of eleven must be accompanied (within arm's reach) throughout the run by a parent, guardian or appropriate adult of the parent's choice.
- Please arrive by foot, by pedal-power or by public transport if you can - your efforts help to reduce our impact on the park and the planet.
- Please consider volunteering to help occasionally - this event survives only because of your generosity - please visit the volunteer page for more information.
- Take care near roads and car parks - some vehicles drive very quickly. Please congregate away from the cars and be careful in particular if you have children. If you’re driving to the run, please drive carefully even if you’re late!
- When running, take care on uneven surfaces - whether on grass or on tarmac. Watch out for cyclists, other runners, pedestrians, children, dogs, wildlife, park animals, vehicles, park maintenance work, falling branches, bollards, posts and other obstacles around the course.
- Please ensure that you are fit enough to walk, jog, run 5k (3.1 miles) with us. Health advice about running can be found at the excellent Runners' Medical Resource website (although this external website focuses on preparation for a race and does not describe parkrun events).
- Remember to warm up before the run.
- If you see a runner with a serious problem, please stop to help them out and get help as soon as possible.
- If you’re watching, keep clear of runners on the course, and look after any children and dogs you may have with you.
- It is not permitted to run with a pushchair and a dog at the same time.
- Runners wishing to run with a dog are welcome, but please keep the dog on a short lead or harness and under control throughout the event. Please also review the parkrun support page article about running with a dog at parkrun events.
- Runners pushing buggies are also welcome, but please take extreme care of other runners around you. If possible start from the back of the field and try to keep to one side of the main body of runners.
- Lyme Disease is a bacterial infection spread to humans by infected ticks. Consider protecting yourself by wearing repellent when at parkrun events in grassy or wooded areas. See lymediseaseuk.com for further details.
We hope these tips help to ensure that Aberdare parkrun is fun and safe for everyone.
Age Grading
All parkrun events use Age Grading to help athletes compare results.
Age Grading takes your time and uses the world record time for your sex and age group to produce a score (a percentage). This score allows you to compare your personal performance against other people's performances even though they might be a different age and a different sex to you - the higher the score the better the performance. The scores can also be compared across different race distances - to allow you to, for example, compare a 5km time against a marathon.
For more information, please see our
Support page.
Course Map
Course Description
This is a three and two thirds lap circular clockwise course on tarmac around the perimeter of the park. There is a gradual incline in each lap but with plenty of recovery time in between. The start is at the top of the hill near the lake and bandstand and finish is behind the cafe by the boating lake.
Facilities
Aberdare Park has toilets, a cafe, children's play area, tennis courts and a bowling green.
Getting There
Location of start
The event starts at the top of the hill near the lake and bandstand.
Getting there by public transport
Bus: You can use the following buses to reach the park which is located a mile above the town centre- 6, 7, 8, 9, 11A, 89 & 91. Please ensure that the buses are going in the right direction.
Train: The nearest train station is Aberdare.
Getting there on foot
From train station: Come out of the train station and cross over the bypass by means of the pedestrian crossing. You will now be by the bus station.
From bus stop location: Go straight across the road to Market Street passing Aberdare market on your left. At the end of the street turn right (with the Boot Hotel on your right) and follow the road through town passing Lloyds Bank and Burtons on your right. At the end of the street follow the road around to the right by the Constitutional Club and follow the road to the roundabout. At the roundabout cross over and continue straight on. Follow this road for half a mile and you will arrive at the bottom gates of the park on the other side of the road.
From Coliseum car park: Walk out of the car park to the side of the Coliseum. Turn left. Head up to the main road B4275 & the park is in front of you. You can enter either at the bottom of the park or the middle gates opposite Aberdare Park Primary School.
From St John the Baptist School head back down Glan Road under 300 yards and enter via the side gate by the tennis courts/bowls greens.
Getting there by road
If using SatNav, the postcode is CF44 8BN.
From Aberdare town centre - follow the B4275 Gadlys Road.
From the A470 (Cardiff) follow signs to Aberdare A4059, then A4233 followed by the B4275 / Gadlys Road to Penywaun.
From Merthyr follow the A465 followed by the B4275 to Aberdare.
We politely ask people to park in the Coliseum Theatre car park or the St John the Baptist School car park and NOT in the parking spots immediately adjacent to the park. The postcode of the Coliseum car park is CF44 8NG and the postcode for St John the Baptist School is CF44 8BW
Post Run Coffee
Every week we grab a post parkrun coffee in the Aberdare Park café - please come and join us!


School land leased out to Nithyananda’s ashram: CBSE seeks report from Gujarat
by PTIThe Central Board of Secondary Education (CBSE) has sought a report from Gujarat Education department on how land of a school was leased out to self-styled godman Nithyanand’s ashram in Ahmedabad without its permission, according to officials.
“The board has written to the State Education Department to inquire into the matter of leasing out land of DPS Maninagar, Ahmedabad to Swami Nityananda ashram without permission of the board,” a senior CBSE official said.
“It has been asked to conduct the enquiry expeditiously and convey the outcome of the report and status of No Objection Certificate (NOC) issued by the State department to the school for seeking CBSE affiliation,” the official added.


The syntax for page variable headers changed from json to key: value plaintext. The method follows MultiMarkdown's metadata key [A-Za-z0-9_-]+ from beginning of line until : value a string per line, where multiline values become arrays notes key: …continue…
A python based static site html stitcher. Description Generate a static site via python from content-only .html and .md pages that are stitched together along with patch (e.g. nav.html, footer.html) files onto a main site quilt.html file. …continue…


Hover over the icons below to see them animate and fade! Wonderful! Use Chrome to get the best effect!
References:


The site you've just spun up comes with a handful of useful default options that you are free to extend as though it were any other Django project.
For starters, you can start playing around with the static template for the page you're looking at right now, which you'll find in the project files at:
templates/homepage.html
ProjectBaseModel
You'll notice one app already included in this project, called base_objects
.
This app includes helpers to use in your own apps on this site, including
the abstract model base_objects.models.ProjectBaseModel
(read more about abstract models
here).
If you subclass this model for all models in your new project,
all of your models will share some basic, custom functionality.
For starters, each model includes the time-tracking fields time_created
and time_modified
; as well as a custom QuerySet manager,
base_objects.managers.ProjectBaseQuerySet
(read more about custom managers
here).
The manager comes equipped with some command-style filter methods for the
time_created
and time_modified
fields. Each of these methods
can be used like any other QuerySet method.
Example:
MyModel.objects.created_before(...).filter(...)
# or
MyModel.objects.filter(...).created_before(...)
Following are the methods currently available in ProjectBaseQuerySet
:
created_before(dt)
and
modified_before(dt)
Filter instances created/modified before dt
, where dt
is either a datetime.datetime
or datetime.date
object.
created_after(dt)
and
modified_after(dt)
Filter instances created/modified after dt
, where dt
is either a datetime.datetime
or datetime.date
object.
created_on_date
and
modified_on_date
Filter instances created/modified on the date of dt
, where dt
is either a datetime.datetime
or datetime.date
object.
Note that datetime.datetime
instances are detected automatically: the result of their .date()
method is used in the query.
created_between
and
modified_between
Filter instances created/modified within the range of dt1
and dt2
, both of which are either datetime.datetime
or datetime.date
objects.
These methods are simple wrappers for Django's range
field lookup,
which can have unexpected output if you aren't careful.
Please note Django's warnings in their documentation.
ProjectBaseModel
To add new functionality to all models that subclass ProjectBaseModel
,
simply add new fields to the model and, optionally, new methods to ProjectBaseQuerySet
in the same style as those for time_created
and time_modified
.
Whenever you change fields in ProjectBaseModel
, you should run manage.py makemigrations
and manage.py migrate
for your entire project. Note that this will generate new migrations for every model that subclasses from ProjectBaseModel
,
so you may have a lot of new migrations to run!
ProjectBaseQuerySet
on a subclassed model
This one's a bit trickier. When subclassing an abstract model with a custom manager, and adding new manager methods of your own to the child model,
Django recommends (as described in documentation, linked in the warning above) either defining a default_manager
or using a second abstract model as a mixin with extra_manager
.
In this author's opinion, that's more complicated than its worth, as you end up needing to reference different managers for different QuerySet methods; and it does not seem possible to chain simple QuerySet filters between two managers in this way.
Instead, the author recommends the following strategy:
1. Create your new custom QuerySet as a subclass of base_objects.managers.ProjectBaseQuerySet
:
# my_app/managers.py
from base_objects.managers import ProjectBaseQuerySet
class MyNewQuerySet(ProjectBaseQuerySet):
def new_method(self):
...
2. Assign your new QuerySet to the child model as objects
:
# my_app/models.py
from base_objects.models import ProjectBaseModel
from .managers import MyNewQuerySet
class MyModel(ProjectBaseModel):
objects = MyNewQuerySet.as_manager()
...
Setting up your new custom QuerySet this way makes every method from ProjectBaseQuerySet
available to the subclassed QuerySet, neatly ties everything to the objects
default manager,
and allows for QuerySet method chaining:
MyModel.objects.created_before(...).filter(...).new_method()
This project comes equipped with a basic template you can build on to create your static pages and other views, without needing to see another barebones "Hello World!" page.
For starters, the page you're looking at is the static homepage.html
,
which you'll find in the project's root templates
directory.
It extends from templates/base.html
, where the page layout is defined.
base.html
brings in static files for a local copy of
Bootstrap 4.4.1, including its CSS and bundled JavaScript
(the bundle includes popper.js);
jQuery 3.4.1 loaded remotely; and
a local copy of
FontAwesome 5.12.0 free version
(note that FontAwesome is loaded as a deferred <script>
in the site's <head>
tag,
which loads SVG versions of the icons).
We also load app-specific CSS and JavaScript, which you'll find at static/css/app.css
and static/js/app.js
.
Some CSS is provided to enable to custom footer on this page, while the JavaScript is left empty for now.
Some smaller templates are used on the site for the navbar and footer. You'll find them in the project root, at:
templates/widgets/base_navbar.html
templates/widgets/base_footer.html
The only thing making them "widgets" is the fact that they separate some template functionality
into separate files, which are then {% templatetag openblock %} include {% templatetag closeblock %}
'ed
in base.html
. Not much more to it than that.
The author mentions these only as a recommendation for further design within your own project, to help you DRY up your code.
The file templates/template_of_templates.html
(yo dawg)
contains a breakdown for all {% templatetag openblock %} block {% templatetag closeblock %}
tags
used in base.html
. When making new templates anywhere in the site,
you can copy this file for a head start.
Simply replace the contents of relevent blocks with your own
and remove the blocks you don't need (but make sure the
{% templatetag openblock %} extends {% templatetag closeblock %}
tag is always the first line in the file, per Django requirements).
That's entirely up to you! You've got a good starting point here, so get cracking.
If you're truly stuck, I recommend learning more about how Django works by trying the official tutorial. You can pick up from the Creating the Polls app section and include it in this site for practice.


--- title: Panasonic Lumix DMC-FZ18 date: '2008-07-12 18:18:47 +0200' date_gmt: '2008-07-12 16:18:47 +0200' categories: - Traveling - Photography ---
Panasonic Lumix DMC-FZ18: what a fantastic camera! :-) 2008-07-12


{% load i18n static humanize %}
This is a test page with a simple styling to test the notification system and convince potential users that django-nyt is pretty cool.
Here you'll see new notifications as they arrive from the server.
After filling in the form, everyone subscribed to receive notification instantly for the Test Model object should receive them.
NB! By design, saving a notification does not trigger displaying one. This way, you can play around with automatic updating and channels.
Select one of the test user accounts and you'll be logged in (this is a test application, so don't use this mechanism in production)
Change settings of currently logged in user
Please reload this page to have the list updated
| Message | Created | Seen | Type |
|---|---|---|---|
| {{ notification.message }} x{{ notification.occurrences }} | {{ notification.modified|naturaltime }} | {{ notification.is_viewed|yesno }} | {{ notification.subscription.notification_type.key }} |


Chicken sandwich murder suspect sought
Police say fight was about cutting in line
OXON HILL, Md. - - The manhunt for a murderer is underway after the fatal stabbing of a man over a Popeye's chicken sandwich.
OXON HILL, Md. - - The manhunt for a murderer is underway after the fatal stabbing of a man over a Popeye's chicken sandwich.


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How It Works
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Preparation time
1-2 hours
Cooking time
1 to 2 hours
Serves
Makes 36 assorted tarts
Three sweet treats for the ambitious baker to try. First up is an orange and thyme puff, then a pear, malt and butterscotch millefeuille, finishing with blackberry and lemon verbena crème brûlée custard tarts.
Equipment and preparation: you will need a free-standing mixer fitted with a dough hook, 12-hole muffin tin, baking beans and a silicone mat.
To make the pastry, combine the vinegar with 225ml/8fl oz water in a jug. In the bowl of a mixer fitted with a dough hook, combine the flour and salt. Add the vinegar water, reserving a few tablespoons. Mix until combined. Add a few more drops of the water if the dough looks a little dry. Shape into a ball. Wrap in cling film and place in the fridge to rest for 30 minutes.
Place the butter between two large sheets of baking parchment and use a rolling pin to flatten the butter into a 15cm/6in square. Place in the fridge to chill.
Roll out the dough on a lightly floured work surface to a 30cm/12in circle. Place the butter in the centre and fold the pastry edges to fully encase the butter. Roll out to a 60x23cm/24x9in rectangle. Fold the bottom third up and the top down over this. You should have a square shape with three layers of pastry. Wrap in cling film and place in the freezer for 20 minutes.
 Give it a quarter turn. Repeat the rolling out into a rectangle, folding and chilling. Repeat this twice more.
Weigh and divide the dough into three equal pieces. Wrap and refrigerate two pieces.
For the pear and malt millefeuille, preheat the oven to 180C/350F/Gas 4 and line a baking tray with non-stick baking parchment.
Take one third of the pastry dough and roll it out on a lightly floured work surface into a square measuring 30x30cm/12x12in and 3mm/⅛in thick. Transfer the square of pastry to the prepared baking tray, with the aid of the rolling pin, and dust with icing sugar. Lay a piece of non-stick baking parchment over the top and then cover with another baking tray.
Bake in the preheated oven for 10 minutes and then remove the baking tray and parchment paper and return to the oven for a further 5-10 minutes, or until crisp and lightly golden-brown. Allow to cool, then cut the pastry into 36 equally-sized circles of pastry about 6cm/2½in diameter. Set aside.
For the fig and orange pastry puff slices, preheat the oven to 200C/400F/Gas 6 and line a baking tray with non-stick baking parchment. Take another third of the dough from the fridge and roll out into a rectangle about 20x30cm/8x12in and 3mm thick. Bake for 10-15 minutes, or until lightly golden-brown. Trim and cut into 12 rectangles approximately 9x4cm/3½x1½in.
For the crème brûlée custard tarts, preheat the oven to 200C/400F/Gas 6 and butter a 12 hole muffin tin. Take the final third of the dough and roll it out into a long rectangle 12cm/6in wide. Roll it up tightly (like a Swiss roll) to make a cylinder 12cm/6in long. Chill in the fridge for 10 minutes.
Slice the pastry into 12 equally sized discs. Push the discs into the holes of the muffin tin and work the pastry up the sides to line the holes. Line them with baking parchment and fill with baking beans. Bake for 10-15 minutes, or until the pastry is golden-brown. Brush with beaten egg and bake for a further two minutes to seal. Set aside.
For the crème pâtissière, line a deep-sided baking tray with non-stick baking paper.
In a bowl, whisk together the egg yolks and sugar until light and fluffy. Add the cornflour and whisk until combined. Heat the milk in a saucepan until just simmering. Whisk the warm milk into the yolk mixture and then return it all to the pan. Heat gently, whisking all the time, until thickened. Keep cooking for about five minutes after the crème pâtissière reaches simmering point. Divide the chopped white chocolate between two bowls. Pour half the hot crème pâtissière into each bowl and stir to melt the chocolate.
For the fig and orange pastry puff slices, add the thyme, orange zest, orange extract and whipped cream to one of the bowls of crème pâtissière. Squeeze the four sheets of gelatine to remove any excess water from the gelatine, then add to the bowl and mix until well combined. Pour into the lined baking tray, leaving some room at the top to pour on the orange jelly layer later. Place in the fridge to chill until set.
For the pear and malt millefeuille, add the malt extract to the second bowl of crème pâtissière and set aside to cool slightly before placing in the fridge to chill.
For the fig and orange pastry puff slices, make a jelly. Heat the orange juice in a saucepan until simmering, then turn off the heat. Squeeze any excess water from the two and a half sheets of gelatine and stir the gelatine into the orange juice until it is dissolved. Set aside to cool, then once cold but still liquid, pour it over the tray of orange-flavoured crème pâtissière. Return to the fridge to set.
For the streusel, combine all the ingredients in a bowl to form a soft dough. Using a rolling pin, roll out the dough to about 1cm/½in thickness. Cut into 1cm/½in cubes. Refrigerate for 30 minutes.
Preheat the oven to 170C/340F/Gas 3½ and line a baking tray with parchment paper. Place the cubes of streusel on the lined tray approximately 1cm/½in apart to allow for spreading. Bake for 10 minutes, remove from the oven, then set aside to cool completely. When cool the cubes of streusel will be used to decorate the top of the fig and orange pastry puff slices.
For the pear and malt millefeuille, in a dish mix the icing sugar and malt extract. Dredge the pear slices in the sugar and malt mixture. Heat a griddle pan and gently griddle the pear slices until they have caramelised lines. Place on a plate lined with parchment to cool.
For the butterscotch sauce, heat the butter, sugar, malt syrup, golden syrup and vanilla pod in a saucepan until the sugar has dissolved. Bring to the boil and simmer for a couple of minutes. Remove from the heat, add lemon juice to taste and fish out the vanilla pod. Stir in the double cream and transfer to a squeezy bottle or small jug (so that you can drizzle the sauce later).
For the lemon crème pâtissière, heat the milk in a small saucepan until just under simmering. Remove from the heat, add the dried lemon verbena, replace the lid and set aside to infuse.
In a bowl, whisk together the egg yolks and sugar until light and fluffy. Add the cornflour and whisk until combined. Heat the lemon verbena-infused milk in a saucepan until just simmering. Mix in the lemon zest, juice and extract. Whisk the infused milk into the egg mix then return it all to the pan. Heat gently, whisking all the time, until thickened. Keep cooking for about five minutes after it reaches simmering point, then set aside to cool.
For the toppings, preheat the oven to 150C/300F/Gas 2.
Heat the sugar in a pan to form a caramel. Carefully pour the hot caramel onto a silicone mat sat in a baking tray. Allow to cool completely, then break up the caramel into pieces. Place in a food processor and blend to a fine powder.
Place 12 tablespoons of the caramel powder into separate heaps on a silicone mat sat in a baking tray (leave enough space between each heap to allow for some spreading). Top each heap with a lemon verbena leaf and cover with more caramel powder, ensuring the leaf is completely covered.
Bake in the preheated oven for about five minutes until the caramel melts and forms 12 discs. Remove from the oven and set aside to cool.
When completely cool, remove the discs from the silicone mat and set aside ready to place on top of the finished custard tarts.
For the pear and malt millefeuille, fill a piping bag with the chilled malt-flavoured crème pâtissière. Cut the caramelised pears into 1cm/½in cubes.
Take 12 of the 36 pastry circles you prepared earlier and top with pear cubes. Pipe on blobs of the malt flavoured crème pâtissière then place another pastry circle on top and add another layer of pear cubes and malt-flavoured crème pâtissière. Place a final pastry circle on top and drizzle with the butterscotch sauce.
For the fig and orange pastry puff slices, cut the tray of chilled orange jelly and crème pâtissière into neat slices that exactly match the pastry rectangles you prepared earlier. Carefully place a slice on top of each pastry rectangle. Decorate the top of each slice with a few cubes of the streusel.
To assemble the crème brûlée custard tarts, preheat the oven to 180C/350F/Gas 4.
Place a blackberry in each of the pastry shells, then fill the tart shells with lemon crème pâtissière and bake for 10 minutes until just set. Top each tart with a disc of lemon verbena caramel and set aside to cool slightly before serving.


Its not that often that I actually use fake tan but if its for a big occasion then I will.
These two fake tans are my favourite products:
Garnier Summerbody Moisturing Lotion:
I love this moisturiser because it gradually builds up a natural tan which adapts to
anyones skin tone. It also hydrates your skin as well.
Another favourite of mine is the Sally Hansen, Airbrush Legs
The fake tan has got palmaria extract and is water and transfer resistant


About Me
I am a professional Web Developer from India and the founder of a Job portal alljobsindia.in and Tips on various technologies tuts.Have a strong knowledge on E-commerce platform like Magento & Blogs Wordpress. Solid Experience in building Responsive/Adaptive User Interface (Desktops, Tablets & Mobiles).
Personal Information
- Swaroop Gupta Voleti
- 15th Dec 1988
- +91 - 9880 505 358
-<EMAIL_ADDRESS>- Bangalore, India
- Telugu (Mother Tongue), English
Skill set
Things I am good at
Other Skills
Experience
I have totally of experience as a Web Developer.


Synth
A selectable oscillator attached to an Attack / Decay envelope. The attack decay envelope modulates the amplitude of the oscillator.
Inherits from Ugen.
Example:
a = Synth({ maxVoices:4, waveform:'PWM', attack:ms(1), decay:ms(1000) })
a.play( [440, 880, 1320], 1/4 )
Properties
- frequency : Hz. default range { 50, 3200 }. default value 440.
- amp : Float. default range { 0, 1 }. default value: .25.
- pulsewidth : Float. default range { 0, 1 }. default value: .5
- attack : Int. Default range { 23, 44100 }. default value: 22050. Measured in samples.
- decay : Int. Default range { 23, 44100 }. default value: 22050. Measured in samples.
- maxVoices: Int. Default value: 1. The maximum number of frequencies the synthesizer can play simultaneously. This value can only be set during initialization.
- glide: Float. Default range { 0, 1 }. Default value: .15. This property creates glissandi as the synthesizer moves from one note to the next. The closer the value is to one the longer the glissandi will be.
- pan: Float. Default range { -1, 1 }. Default value: 0. The position in the stereo spectrum of the Synth output.
- waveform : String. The name of an oscillator for the synth to use.
Methods
- chord( Array:frequencies, Float:amp(optional) ) : Playback multiple notes at a provided amplitude. The maxVoices property have been set to a value higher than 1 during intialization for this function to work.
- note( Float:frequency, Float:amp(optional) ) : This method tells the synthesizer to play a single note at a particular volume.
- play( Array:frequencies, Array:durations ) : This method accepts arrays of frequencies and durations as arguments to create and start a sequencer targeting the oscillator.
- stop() : This method stops the sequencer that is built into the oscillator if it has been started.
- kill() : Disconnect the oscillator from whatever bus it is connected to.


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I have been looking around for an elven Blackguard sort of build. Pretty much a total anti-paladin, so I don't want it going from a paladin to a BG.(Something with maybe starting fighter lvls then a lot of BG lvls, and maybe some weapon master or cleric lvls. Am open to any other first/third classes sugested of course but the BG is the main theme.) If such a build has been made could someone direct me to it, and if not would someone be able to help me make one? I am not very good at making nice builds.
Thanks in advance.
Edited By Unseenvelve on 11/24/05 23:39
Grizzled_Dwarflord has an awesome blackguard build The Shrike.
I've a Barbarian-based one Here, and if you use pulse cap's Build Search Engine, you should find about 65 or so BG builds. (Just put Blackguard in all the fields for your search).
Good luck! _________________ Wave upon wave of demented avengers marched cheerfully out of obscurity into the dream...
What could be smart is to add at least 20 levels of BG to the search, to rule out a few builds with few BG levels.. I alone have four Blackie's posted.
*goggles* Thanks, I should find what I need there,


Powering symbolics and magicked diagrammatons impress themselves upon visionating neuronal systems as ascended alkaloid levels atomize facades revealing endogenous mandala factories witch focus clouds seen escaping stone gravity wells, on their way haum..
!


Balrog is the code name for the latest generation of Mozilla's Application Update Server (AUS). It's the first rewrite since 2006, and went into production in January 2015.
Balrog handles all update requests for Firefox, Thunderbird, Gecko Media Plugins, as well as some Fennec and FirefoxOS channels.
Applications periodically poll Balrog to see if there's a newer version available.
The URL that Firefox contacts is hardcoded in the app.update.url pref:
https://aus4.mozilla.org/update/3/%PRODUCT%/%VERSION%/%BUILD_ID%/...
%BUILD_TARGET%/%LOCALE%/%CHANNEL%/%OS_VERSION%/...
%DISTRIBUTION%/%DISTRIBUTION_VERSION%/update.xml
Firefox substitutes the %-enclosed variables at runtime, so the actual URL requested ends up being something like:
https://aus4.mozilla.org/update/3/Firefox/37.0a1/20141218030202/...
Linux_x86_64-gcc3/en-US/nightly/Linux%203.9-1-amd64%20(GTK%202.24.25)/...
default/default/update.xml
Balrog parses out each of these variables from the requested URL.
Balrog responds to requests with a small XML response that contains the location of the update MAR and a bunch of metadata about it, e.g.:
<updates> <update type="minor" displayVersion="41.0a1" appVersion="41.0a1" platformVersion="41.0a1" buildID="20150618030206"> <patch type="complete" URL="http://download.cdn.mozilla.net/pub/mozilla.org/firefox/nightly/2015/06/2015-06-18-03-02-06-mozilla-central/firefox-41.0a1.en-US.linux-x86_64.complete.mar" hashFunction="sha512" hashValue="097d745696759cba29f85cb6df02f00476dc8189526e18cb9efaa70614631ef19c72014fffd3f1785d2ca9d0d1eeef22671a28a3069554c9a1581e240e743031" size="56155786"/> </update> </updates>
Balrog maps the incoming request to a target release using an ordered set of rules. These rules match variables from the incoming request, and point at a release. Rules are sorted by a manually set priority, and the highest priority matching rule wins. Generally you're first concerned with Product and Channel first.
Looking at some update rules for "Firefox"
There are currently 112 rules active in Balrog
The simplest example of how rules work is for Firefox Nightly. In our example we match product="Firefox" and channel="nightly"
We can see the rule maps us to the "Firefox-mozilla-central-nightly-latest" blob.Most channels have more complicated sets of rules. They have to deal with OS deprecation and other special situations. Let's take a look at all of the rules that are considered for the Firefox release channel.
We don't support all the old OSes that we used to, and we make sure we don't offer users on Windows 98, for example, updates to the latest Firefox. We haven't deprecated an OS in a long time, so we simply serve no update to any OS we've desupported:
At some points in time the update format changed, and clients on older versions can't properly request or apply more recent updates with their current tools. These users must be routed through "watershed" releases that are served as an older style update that contains newer versions of the update tools:
Sometimes we need to serve some users an update that points them at a "whats new" page, generally for marketing purposes:
Updates with what's new pages have some extra information in the XML response:
<updates> <update type="minor" displayVersion="41.0a1" appVersion="41.0a1" platformVersion="41.0a1" buildID="20150618030206" actions="showURL" openURL="https://www.mozilla.org/en-US/firefox/38.0.5/whatsnew/?oldversion=%OLD_VERSION%"> <patch type="complete" URL="http://download.cdn.mozilla.net/pub/mozilla.org/firefox/nightly/2015/06/2015-06-18-03-02-06-mozilla-central/firefox-41.0a1.en-US.linux-x86_64.complete.mar" hashFunction="sha512" hashValue="097d745696759cba29f85cb6df02f00476dc8189526e18cb9efaa70614631ef19c72014fffd3f1785d2ca9d0d1eeef22671a28a3069554c9a1581e240e743031" size="56155786"/> </update> </updates>
And if you don't fall into any of the special cases above, you simply get served the plain, boring, release:
The releases that rules point at are JSON data structures (commonly referred to as "blobs") and contain the metadata that the XML is built from.
Blobs normally contain all of the data for one "release" across all platforms and locales. Eg: "Firefox-mozilla-central-nightly-20150608030201" has Firefox Nightly metadata from June 8. "Firefox-39.0b5-build1" has metadata from a recent Firefox Beta.
{ "hashFunction": "sha512", "platforms": { "WINNT_x86_64-msvc": { "locales": { "en-US": { "buildID": "20150608030201", "appVersion": "41.0a1", "platformVersion": "41.0a1", "partials": [ { "fileUrl": "http://download.cdn.mozilla.net/pub/mozilla.org/firefox/nightly/2015/06/2015-06-08-03-02-01-mozilla-central/firefox-41.0a1.en-US.win64.partial.20150607030217-20150608030201.mar", "from": "Firefox-mozilla-central-nightly-20150607030217", "hashValue": "0d0dfc7cb5c6524f59662007285545ac0d4af0bb388c7cc06f691399796769ffc3a95c62f134df8803726cc6b3415e519186fc0b64e8ca60aaca5118652629ff", "filesize": 7047272 } ], "displayVersion": "41.0a1", "completes": [ { "fileUrl": "http://download.cdn.mozilla.net/pub/mozilla.org/firefox/nightly/2015/06/2015-06-08-03-02-01-mozilla-central/firefox-41.0a1.en-US.win64.complete.mar", "from": "*", "hashValue": "f392b260f250ad02728d12d8042424ed576edc263ccd891fd43b95f65ee7fbdd0205725f0f2fb6ff69ac2ce5c12aba2e2f627f4dfe49e15d4d2780fa2fffee41", "filesize": 53419352 } ] } } } } }
A partial update is a collection of binary diffs, while a complete update contains a full copy of all the files.
Example sizes for Firefox 39.0 (in MB).
| Update | Windows | Mac |
|---|---|---|
| Partial from 38.0.5 | 16 (33%) | 21 (30%) |
| Partial from 37.0.2 | 20 (42%) | 30 (42%) |
| Partial from 34.0.5 | 34 (71%) | 42 (59%) |
| Complete | 48 | 71 |
Stay tuned for more about partials & funsize!


Deep fried patties stuffed with peas, potatoes, and Indian spices
Vegetable Pakora$5.99
An assortment of fresh vegetables deep fried in cheakpeas battered served with salad and sauce
Onion Bhajee$5.99
Deep fried patties stuffed with peas, potatoes, and Indian spices
Chicken Tikka$6.99
Deep fried patties stuffed with peas, potatoes, and Indian spices
Chicken Pakora$6.99
Deep fried patties stuffed with peas, potatoes, and Indian spices
Sheek Kabab$6.99
Deep fried patties stuffed with peas, potatoes, and Indian spices
Mixed Platter$12.99
Deep fried patties stuffed with peas, potatoes, and Indian spices
Soup and Salads
Mulligatawany Soup$5.99
An authentic Indian soup prepared with lentils, chicken, lemon juice, herbs, and spices
Lentil Soup$4.99
Vegetarian soup prepared with lentils, lemon juice, herbs, and spices
Garden Salad$5.99
Tandoori Chicken Salad$6.99
Side Order
Raita$2.99
Whipped Yogurt with onion & cucumber.
Mango Chutney$2.99
Mixed Pickle$1.99
Papadum$1.99
*If you order takeout every meat dish is served with rice or naan of your choice
Tandoori Dishes *
All tandoori dishes are thoroughly marinated in a delightfully delicate spiced yogurt to tenderize the meat and give it a seductive flavour and tantalizing aroma.
Tandoori Chicken$12.99
Chicken Tikka$13.99
Sheek Kabab$13.99
Shrimp Tikka$17.95
Tandoori Mixed Grill$16.95
Chicken Dishes *
All Chicken Dishes are $14.99
Butter Chicken
Boneless chicken marinated in yogurt and spices, barbequed in Tandoor and cooked with creamy tomato gravy and butter. Ideal for all.
Chicken Korma
A mild curry cooked in a creamy sauce with almonds and rasin (very mild).
Chicken Kashmiri
A very mild dish cooked with various fresh fruits and creamy sauce with coconuts and ground almonds.
Chicken Vindaloo
Boneless chicken cooked with potatoes, lemon juice, and extra red chillies. Extremely hot dish.
Chicken Tikka Masala
Tandoori chicken breast pieces cooked with onions, green peppers, tomatoes, and spices.
Chicken Jalfrezi
Jalfrezi dishes are cooked with green chillies, ginger, green pepper, and fresh cilantro. Fairly spicy and hot to taste.
Chicken Madras
Rich hot sour taste extensively prepared with garlic, lemon juice, red chilli pepper, coconuts, and garnished with fresh cilantro.
Chicken Dansak
A beautiful combination of spices with pineapple, lentils, and garlic; producing a sweet, sour and hot taste garnished with fresh cilantro.
Chicken Pasanda
Pieces of chicken marinated in yogurt and spices, and gently casserolled in a creamy sauce. A delicate fragrant and aromatic curry.
Bhuna Chicken
Diced chicken gently spiced and cooked with capsicum, peppers, and tomatoes. This is a fairly dry and medium curry.
Korai Chicken
Cubed chicken cooked in medium dry gravy with tomatoes, onion, and green peppers.
Chicken Curry
Chicken cooked with curry sauce. Simple and easy.
Lamb and Beef Dishes *
Beef: $14.99, Lamb: $15.99
Rogon Josh
A special preperation with fresh cilantro, tomatoes purée, garlic, and garnished with lots of tomatoes. (Medium Hot)
Madras
Rich hot sour taste extensively prepared with garlic, lemon juice, red chilli pepper, coconuts, and garnished with fresh cilantro.
Dupiaza
A maximum quantity of onion with dozens of spices to produce a medium hot curry.
Dansak
A beautiful combination of spices with pineapple, lentils, and garlic; producing a sweet, sour and hot taste garnished with fresh cilantro.
Sag Gosht
Gosht (Meat) cooked with fresh spinach garnished with a touch of garlic, ginger, and coriander.
Korai Gosht
Cubed beef or lamb cooked in medium dry gravy with tomatoes, onions, green peppers, and garnished with fresh cilantro. (Fairly Hot)
Korma
A mild curry cooked in creamy sauce with almonds and raisins. (Very Mild)
Rezala
A medium hot curry flavoured with special aromatic spices.
Rice Selection
Pulao Rice$3.50
Rice cooked with cumin, butter,fried onion, and mild spices.
Peas Pulao$4.99
Basmati rice cooked with peas, onions, and almonds.
Mushroom Rice$4.99
Rice cooked with mushrooms and onions
Indian Bread
Naan$3.50
Leavened bread of fine flour baked in our tandoor
Garlic Naan$4.99
Naan bread stuffed with garlic
Keema Naan$4.99
Naan bread stuffed with spiced minced meat
Tandoori Roti$3.50
Unleavened whole wheat bread baked in tandoor
Paratah$3.50
Fried layered whole wheat bread.
Pashawari Naan$3.50
Stuffed with fruits and almonds.
Biriyani Dishes
Grand festive dishes prepared with basmati rice cooked with vegetable, chicken, beef, lamb, or shrimp.
Vegetable Biriyani$10.99
Chicken Biriyani$13.99
Beef Biriyani$13.99
Lamb Biriyani$14.99
Shrimp Biriyani$15.99
Vegetable Specialties
Daal Tarka$10.99
Indian lentils cooked in butter and spices.
Aloo Gobi$10.99
Potato and cauliflower cooker in spices.
Sag Aloo$10.99
Potato cooked with spinach.
Chana Masala$10.99
Chickpeas cooked in spices.
Bharta$10.99
Exotic egg plant cooked with herbs, tomatoes and various spices.
Bombay Aloo$10.99
Spiced boiled potatoes cooked with roasted chili and onion
Mushroom Bhajee$10.99
Fresh mushrooms cooked in a moderately spiced curry sauce with onion, tomatoes and peas.
Mixed Vegetables$12.99
Fresh garden vegetable cooked in curry sauce.
Sag Paneer$12.99
Spinach cooked with homemade cottage cheese, cooked in spices and butter.
Matar Paneer$12.99
Peas cooked with homemade cottage cheese, cooked in spices and butter.
Paneer Makhani$12.99
Our fresh homemade soft cottage cheese stewed in a creamy tomato gravy.
Vegetable Korma$12.99
Fresh mixed vegetable cooked with mildly spiced almond curry sauce.


Chapter 7: Axonal Growth
Modelling neuron morphology
Experimental data about neuron morphology in many species is available through the NeuroMorpho database [1].
NetMorph is a C++ environment to simulate neuronal morphogenesis from the perspective of the individual growth cone within axons or dendrites, covering elongation, branching and turning.In this way, neurons with realistic axonal and dendritic morphologies, including neurite curvature, can be generated. Synapses are formed as neurons grow out and axonal and dendritic branches come in close proximity of each other [2]. Compared to CX3D, NetMorph is computationally less expensive, making it useful for theoretical studies and simulating larger networks; on the other hand, NetMorprh is less flexible than CX3D [3].
Modelling axon growth
Matlab script for spatial network growth. For details on the algorithm, look at Kaiser and Hilgetag (2004) (PDF, [4])
Matlab code for simulating the growth of axons and connection establishment can be found here. For axonal growth simulations in two or three dimensions, run devsim2d and devsim3d, respectively [5].
All previous routines assume that axons grow in a straight line. To test the scenario that axons randomly change direction, we can look at the effect that this would have on overall axon lengths and axon trajectories. Code for modelling curved axonal pathways can be found here and is described in [6].
References
[1] Ascoli, G. A., D. E. Donohue and M. Halavi (2007). NeuroMorpho.Org: A central resource for neuronal morphologies. J Neurosci 27(35): 9247-9251
[2] Koene, R. A., B. Tijms, P. van Hees, F. Postma, A. de Ridder, G. J. Rammers, J. van Pelt and A. van Ooyen (2009). NETMORPH: a framework for the stochastic generation of large scale neuronal networks with realistic neuron morphologies. Neuroinformatics 7(3): 195-210
[3] Acimovic, J., T. Maki-Marttunen, R. Havela, H. Teppola and M. L. Linne (2011). Modeling of Neuronal Growth In Vitro: Comparison of Simulation Tools NETMORPH and CX3D. EURASIP J Bioinform Syst Biol 2011: 616382
[4] Kaiser, M., and C. C. Hilgetag. 2004. Spatial growth of real-world networks. Phys Rev E Stat Nonlin Soft Matter Phys 69 (3 Pt 2): 036103
[5] Kaiser, M., C. C. Hilgetag, and A. van Ooyen. 2009. A simple rule for axon outgrowth and synaptic competition generates realistic connection lengths and filling fractions. Cereb Cortex 19 (12): 3001-10
[6] Kaiser, M. 2017. Mechanisms of Connectome Development. Trends Cogn Sci 21 (9): 703-717


I was recently told that Blind Fight doesn't work at all. Not for melees or ranged. I was under the impression that it only worked for melees and not ranged but I was told otherwise. I really like the re-roll becuase of concealment feat so please someone verify this.
It definitely works, I did quite a bit of testing with epic dodge and self concealment and blind fight to check out how good they were. Blind fight definitely works for melee.
Blind fight only works for ranged if you are close enough for blind fight to work. If you are too far away then blind fight doesnt work.
My first tests with ranged blind fight showed that it didnt work, simply because I was too far away for it to take effect.


General Information
Only 10 Recordings May Be Recorded At A Time
All Unsaved Recordings Will Be Deleted Upon Exiting The Current Web Session
In Order To Record More Than 10 Paw Scripts In One Web Session, You Will Need To Delete Them From The Queue On The Play Tab
0-9 On The Keyboard Correspond To The Recordings Displayed On The Play Tab With 0 Being The Top Recording
Keyboard Shortcuts
ESC - Toggles The Record Function
0-9 - Plays The Corresponding Loaded Recording
Shift + 0-9 - Downloads The Corresponding Loaded Recording


See: Description
| Interface | Description |
|---|---|
| DataBag |
A collection of Tuples.
|
| InterSedes |
A class to handle reading and writing of intermediate results of data
types.
|
| Tuple |
An ordered list of Data.
|
| TupleMaker<A extends Tuple> | |
| TupleRawComparator |
This interface is intended to compare Tuples.
|
| TypeAwareTuple |
| Class | Description |
|---|---|
| AbstractTuple |
This class provides a convenient base for Tuple implementations.
|
| AccumulativeBag | |
| AmendableTuple | |
| AppendableSchemaTuple<T extends AppendableSchemaTuple<T>> | |
| BagFactory |
Factory for constructing different types of bags.
|
| BinInterSedes |
A class to handle reading and writing of intermediate results of data types.
|
| BinInterSedes.BinInterSedesTupleRawComparator | |
| BinSedesTuple |
This tuple has a faster (de)serialization mechanism.
|
| BinSedesTupleFactory |
Default implementation of TupleFactory.
|
| DataByteArray |
An implementation of byte array.
|
| DataReaderWriter |
This class was used to handle reading and writing of intermediate
results of data types.
|
| DataType |
A class of static final values used to encode data type and a number of
static helper functions for manipulating data objects.
|
| DefaultAbstractBag |
Default implementation of DataBag.
|
| DefaultAbstractBag.BagDelimiterTuple | |
| DefaultAbstractBag.EndBag | |
| DefaultAbstractBag.StartBag | |
| DefaultBagFactory |
Default implementation of BagFactory.
|
| DefaultDataBag |
An unordered collection of Tuples (possibly) with multiples.
|
| DefaultTuple |
A default implementation of Tuple.
|
| DefaultTuple.DefaultTupleRawComparator | |
| DefaultTupleFactory | Deprecated
Use
TupleFactory |
| DistinctDataBag |
An unordered collection of Tuples with no multiples.
|
| FileList |
This class extends ArrayList
|
| InternalCachedBag | |
| InternalDistinctBag |
An unordered collection of Tuples with no multiples.
|
| InternalMap |
This class is an empty extension of Map
|
| InternalSortedBag |
An ordered collection of Tuples (possibly) with multiples.
|
| InterSedesFactory |
Used to get hold of the single instance of InterSedes .
|
| LimitedSortedDataBag |
An ordered collection of Tuples (possibly) with multiples.
|
| NonSpillableDataBag |
An unordered collection of Tuples (possibly) with multiples.
|
| ReadOnceBag |
This bag does not store the tuples in memory, but has access to an iterator
typically provided by Hadoop.
|
| SchemaTuple<T extends SchemaTuple<T>> |
A SchemaTuple is a type aware tuple that is much faster and more memory efficient.
|
| SchemaTuple.SchemaTupleQuickGenerator<A> | |
| SchemaTupleBackend | |
| SchemaTupleClassGenerator |
This class encapsulates the generation of SchemaTuples, as well as some logic
around shipping code to the distributed cache.
|
| SchemaTupleFactory |
This is an implementation of TupleFactory that will instantiate
SchemaTuple's.
|
| SchemaTupleFrontend |
This class is to be used at job creation time.
|
| SelfSpillBag |
Class to hold code common to self spilling bags such as InternalCachedBag
|
| SelfSpillBag.MemoryLimits |
This class helps to compute the number of entries that should be held in
memory so that memory consumption is limited.
|
| SingleTupleBag |
A simple performant implementation of the DataBag
interface which only holds a single tuple.
|
| SizeUtil |
Utility functions for estimating size of objects of pig types
|
| SortedDataBag |
An ordered collection of Tuples (possibly) with multiples.
|
| SortedSpillBag |
Common functionality for proactively spilling bags that need to keep the data
sorted.
|
| TargetedTuple |
A tuple composed with the operators to which
it needs be attached
|
| TimestampedTuple | |
| TupleFactory |
A factory to construct tuples.
|
| UnlimitedNullTuple | |
| WritableByteArray |
A reusable byte buffer implementation
|
| Enum | Description |
|---|---|
| SchemaTupleClassGenerator.GenContext |
The GenContext mechanism provides a level of control in where SchemaTupleFactories
are used.
|
| Exception | Description |
|---|---|
| FieldIsNullException |
| Annotation Type | Description |
|---|---|
| SchemaTupleClassGenerator.GenContext.GenerateForceLoad | |
| SchemaTupleClassGenerator.GenContext.GenerateForeach | |
| SchemaTupleClassGenerator.GenContext.GenerateFrJoin | |
| SchemaTupleClassGenerator.GenContext.GenerateMergeJoin | |
| SchemaTupleClassGenerator.GenContext.GenerateUdf |
These annotations are used to mark a given SchemaTuple with
the context in which is was intended to be generated.
|
This package contains implementations of Pig specific data types as well as support functions for reading, writing, and using all Pig data types.
Whenever possible, Pig utilizes Java provided data types. These include Integer, Long, Float, Double, Boolean, String, and Map. Tuple, Bag, and DataByteArray are implemented in this package.
The choice was made to utilize Java provided types for two main reasons. One, it minimizes the burden on UDF developers, as they will have full access to these types with no need to convert to and from Pig specific types. Two, maintenance costs will be lower as there is no need to implement and maintain Pig specific data classes. The drawback is that the only common parent of all these types is Object. Thus Pig is often required to treat its data objects as Objects and then implement static methods to manipulate these Objects, rather than being able to define a PigDatum class with common funcitons.
Three data types were implemented as Pig specific classes:
DataByteArray
, Tuple
,
and DataBag
.
DataByteArray represents an array of bytes, with no interpretation of those bytes provided or assumed. This could have been represented as byte[], but a separate class was constructed to provide common functions needed to manipulate these objects.
Tuple represents an ordered collection of data elements. Every field in a
tuple can contain any Pig data type. Tuple is presented as an interface to
allow differing implementations in cases where users have unique
representations of their data that they wish to preserve in their in memory
representations. The TupleFactory
is an
abstract class, to enable a user who has defined his own tuples to provide a
factory that creates those tuples. Default implementations of Tuple and
TupleFactory are provided and used by default.
DataBag represents a collection of Tuples. DataBags can be of default type
(no extra features), sorted (tuples are sorted according to a provided
comparator function), or distinct (no duplicate tuples). As with Tuple,
DataBag is presented as an interface, and
BagFactory
is an abstract class. Default implementations of DataBag,
BagFactory, and all three types of bags are provided.
Copyright © 2007-2017 The Apache Software Foundation