new StreamStash(options)
Coordinates events from input plugins to filters and finally output plugins
Parameters:
| Name | Type | Description | ||||||
|---|---|---|---|---|---|---|---|---|
options |
Object | Configuration parameters
Properties
|
- Source:
Members
(static) STATE :Object
All the states StreamStash can be in
- CONFIGURING: Instantiated and ready for input/output plugins and filters to be added
- STARTED: Configured and ready to process events
- STOPPING_INPUT: Beginning to shutdown, all input plugins should not be emitting events anymore
- STOPPING_ALL: All inputs have stopped emitting events, waiting for in flight events and plugins to complete
- STOPPED: All events and plugins have completed, we are stopped
Type:
- Object
- Source:
Methods
addFilter(func) → {boolean}
Adds a filter function to use for events
TODO: Allow naming filters?
TODO: Document what is given to the filter functions
Parameters:
| Name | Type | Description |
|---|---|---|
func |
function | The function to use for this filter |
- Source:
Returns:
True if the filter was added, false if not allowed
- Type
- boolean
addInputPlugin(plugin) → {boolean}
Adds an input plugin to provide events
Parameters:
| Name | Type | Description |
|---|---|---|
plugin |
Object | An already instantiated input plugin |
- Source:
Returns:
True if the plugin was added, false if not allowed
- Type
- boolean
addOutputPlugin(plugin) → {boolean}
Adds an output plugin to use for events
Parameters:
| Name | Type | Description |
|---|---|---|
plugin |
Object | An already instantiated output plugin |
- Source:
Returns:
True if the plugin was added, false if not allowed
- Type
- boolean
start() → {boolean}
Starts processing events
At least 1 input and 1 output must be configured
- Source:
Fires:
- StreamStash#event:start
Returns:
True if started, false if already started or shutting down
- Type
- boolean
stop() → {boolean}
Kicks off the stop sequence
Use this to shutdown gracefully
- Source:
Returns:
True if the stop has begun, false if not allowed
- Type
- boolean


I am an aspiring full-stack programmer. With no previous programming experience, I taught myself HTML and CSS in less than a month. Determined to achieve my aspiration, I quit my job to focus on learning software development full time. I am looking to join a company with a great culture and focus on user experience where I can continue to learn front-end and back-end programming languages while working on their product.
Additionally, I have a business background and posses practical knowledge in customer experience, planning, analysis, and negotiations.
I am a self-starter, entrepreneurial, have strong leadership skills, interpersonal skills, communication skills. Work well in a team environment. Posses high attention to detail and operate with a strong sense of urgency while delivering quality product to customers.
Core competencies include: Research/ Investigative skills, Market Analysis, Analytical Reporting, Strategic Planning, Customer Service/Relations, Negotiations.


---
---
Media Files ∈ Continuation Project
meta(name="viewport" content="width=device-width, initial-scale=1")
{% include all-js.html %}
{% include masthead.html %}
Media Files
- Link to mp3 file served via HTTP download
-
Marching Virginians Amazing Grace Radio Feature
- Embedded mp3 file in QT container served via HTTPdownload
- Sanctuary, by Utada Hikaru
-
- Embedded wma file in QT container served as a reference movie via RTSP download
- Windows XP Title, by Microsoft
-


OpenAQ
These are measurements for Los Angeles, Chile
{% for record in records %}
{% endblock %}
{{ record }}
{% endfor %}These are measurements for Los Angeles, Chile
{{ record }}
{% endfor %}


I am a software engineer focusing on web development. I'm adaptable and comfortable with learning new languages and working in environments other than web development. I enjoy building restful apis and building ui with react.
Video platform built on the steem blockchain. Allows creators to upload video links to the steem blockchain and get paid. It's an alternative to ad based payment systems.
Check it outA web app that provides a ui and a restful api for runescape ingame messages. The messages are collected with a modified client written in java.
Check it outA little visualization of nba player networks on twitter. Uses d3 inside of react. React obviously is not needed, but I wanted to see how to integrate a third party lib that uses the dom.
Check it outSmall web app using react and django-rest-framework. Records coordinates using the browsers geolocation service.
Check it outSimple app that shows the final pixel placements. Each pixel is mapped to the user that placed it. The data comes from reddits final data dump.
Check it outAlexa skill using the Runescape api to get price info about items. Uses fuzzy matching (levenstein distance) to match speech to an item.
Check it out


1. Istio — Getting started guide
Istio — https://istio.io — is a new Microservice service mesh manager for making microservice deployments less complex and eases the strain on development teams.
Blogposts, Tutorials, Code Samples & Videos. All you need to get started.
Microservice Deployments on Kubernetes
Istio — https://istio.io — is a new Microservice service mesh manager for making microservice deployments less complex and eases the strain on development teams. It is a completely open source service mesh that layers transparently onto existing distributed applications. It is also a platform which included APIs that let it integrate into any logging platform, telemetry or policy system.
A service mesh is a term we use to describe the network of microservices that make up a distributed microservice architecture that makeup applications and the interactions between them.
As these service meshes grow with size and complexity they become harder to understand and manage. It can require discovery, load balancing, failure recovery, metrics, and monitoring. They can also have more complex operational requirements such as A/B testing, canary releases, rate limiting, access control, and end-to-end authentication.
How can we manage this service mesh complexity? In comes Istio which provides behavioral insights and operational control over the service mesh as a whole, offering a complete solution to satisfy the requirements of microservice applications.
Istio makes it easy to create a network of deployed services with load balancing, service-to-service authentication, monitoring, and more, without any changes in service code. To do this you add Istio support to services by deploying a sidecar proxy throughout your environment that intercepts all network communication between microservices. You then configure and manage Istio using its control plane functions, such as:
· Automatic load balancing for HTTP, gRPC, WebSocket, and TCP traffic.
· Fine-grained control of traffic behavior with rich routing rules, retries, failovers, and fault injection.
· A pluggable policy layer and configuration API supporting access controls, rate limits and quotas.
· Automatic metrics, logs, and traces for all traffic within a cluster, including cluster ingress and egress.
· Secure service-to-service communication in a cluster with strong identity-based authentication and authorization.
In this article, I will show the steps for how I got started with Istio on my Kubernetes cluster that I provisioned on Oracle Cloud.
Steps taken:
The conclusion is that leveraging Istio on OKE is quite straightforward.
Install Istio Client in Linux VM
The first step with Istio, prior to deploying Istio to the Kubernetes cluster, is the installation on your client machine of the istioctl client application and associated sources, including the Kubernetes yaml files required for the actual deployment.
Following the instructions in the quick start guide: https://istio.io/docs/setup/kubernetes/quick-start.html
Firstly I downloaded the latest version of Istio to my Mac
curl -L | sh -
Then move to the Istio directory:
cd istio-1.0.2
The installation directory contains:
You then add the istioctl client to my PATH environment variables:
export=$PWD $PATH
Ensure that the current OCI and OKE user is allowed to do cluster administration tasks by creating a Role-Based Access Control policy
kubectl create clusterrolebinding <admin-binding> –clusterrole=cluster-admin –user=<user-OCID>
Note:
Deploy Istio to your Oracle Cloud OKE Kubernetes Cluster
I will cover the installation of Istio using Helm below, however, prior to performing the installation, let’s make some changes to the Istio “values.yaml” file. The “values.yaml” file informs Helm which components to install on the OKE platform. The “values.yaml” file is located at:
In order to have the components Grafana, Prometheus, Servicegraph, and Jaeger deployed, the “values.yaml” file needs to be modified. For each of the components you want to be deployed, change the enabled property from “false” to “true” eg:
Servicegraph:
enabled: true
replicaCount: 1
image: servicegraph
service:
name: http
type: ClusterIP
externalPort: 8088
internalPort: 8088
Once you have made these changes to the “values.yaml” file you can save. and exit and you are now ready to install Istio!
If you are using a version of Helm prior to 2.10.0 then you must first install Istio’s Custom Resource Definitions via the kubectl apply:
kubectl apply -f install/kubernetes/helm/istio/templates/crds.yaml
After this command execution you will have to wait a few seconds for the Custom Resource Definitions (CRDs) to be committed in the kube-apiserver.
Once the CRDs have been added to the kube-apiserver we can now render Istio’s
core components to a Kubernetes manifest called istio.yaml
:
helm template install/kubernetes/helm/istio --name istio --namespace istio-system > $HOME/istio.yaml
Now that the components have been rendered manifest file we can now install the components via the manifest by:
Creating the namespace in Kubernetes with Kubectl:
kubectl create namespace istio-system
We then apply the istio.yaml file to install istio:
kubectl apply -f $HOME/istio.yaml
We can now see that Istio has been installed to our pods by running:
kubectl get pods -n istio-system
Since the “values.yaml” was modified to enable the deployment of Grafana, Prometheus, ServiceGraph, and Jeager you will see those components deployed as well.
While Istio states there is automatic sidecar injection; there are some slight limitations to this . Automatic sidecar injection must be specified per namespace; therefore, if you do not enable your namespace for automatic injection then the sidecar will not be injected into your pods. I do not recommend enabling the default namespace for automatic sidecar injection.
Please note, when enabling automatic sidecar injections that there may in future be some components that you deploy to the default namespace and you don’t want the sidecar deployed alongside the component. It would be better to deploy your application to a specified namespace and then set this namespace for automatic injection.
Note:
In order to have sidecar injection at deployment, you must enable the namespace for your application. To enable the namespace for automatic injection execute the following command:
kubectl label namespace default istio-injection=enabled
For this demo, we are going to deploy the Istio provided “bookinfo” sample application. You can find this application in the samples directory from the Istio download, which we downloaded earlier. Keep in mind that we previously enabled automatic sidecar injection during the installation of Istio and also enabled the default namespace for automatic sidecar injection. Therefore, when you deploy the book application an Envoy sidecar proxy is deployed in each pod.
Each of the black boxes in the below diagram are instances of the Envoy proxy sidecar. When the “bookinfo” application is deployed to the Kubernetes cluster Istio deploys the sidecar in the pod alongside of the microservice.
Note:
This application is polyglot, i.e., the microservices are written in different languages. It’s worth noting that these services have no dependencies on Istio, but make an interesting service mesh example, particularly because of the multitude of services, languages and versions for the
reviews
service.
Let’s deploy the bookinfo application.
kubectl apply -f /<istio installation directory>/samples/bookinfo/platform/kube/bookinfo.yaml
After the successful deployment, let’s take a look at the pods that were deployed.
We can check our pods by running:
kubectl get pods
We then need to make the application accessible from outside your Kubernetes cluster. To do that, we need to create an Istio gateway:
<istio installation directory>/samples/bookinfo/networking
We can check this gateway by:
kubectl get gateway
We can also check the cluster-ip and ports for this gateway by running:
kubectl get svc -n istio-system
Istio is now installed on our cluster with the bookinginfo application, we can now check out some of the monitoring functionality and dashboards available.
When you install Istio, with all of the dashboards enabled, there will be 4 dashboards available, in addition to the standard Kubernetes dashboard. Each dashboard provides their own unique features and will be key for managing and monitoring your Kubernetes cluster. Since each dashboard is a product in its own right I will not cover each product in depth. To understand the key features of the dashboards I recommend that you review each product’s documentation page. There are also several books that have been written on many of these products.
The Grafana add-on is a preconfigured instance of Grafana. The base image has been modified to start with both a Prometheus data source and the Istio Dashboard installed. The base install files for Istio, and Mixer in particular, ship with a default configuration of global metrics. The Istio Dashboard is built to be used in conjunction with the default Istio metrics configuration and a Prometheus backend.
To set up the Istio dashboard we will need to set up a port forward to the dashboard fro kubectl locally on your laptop:
kubectl -n istio-system port-forward $(kubectl -n istio-system get pod -l app=grafana -o jsonpath=’{.items[0].metadata.name}’) 3000:3000 &
Once this has been configured we can access the dashboard at the :
http://localhost:3000/dashboard/db/istio-mesh-dashboard
The Istio service mesh delivers six default Grafana dashboards. Please see some screenshots of these dashboards below:
The Grafana add-on is a pre-configured instance of Grafana. The base image (grafana/grafana:4.1.2) has been modified to start with both a Prometheus data source and the Istio Dashboard installed. The Istio Dashboard is built to be used in conjunction with the default Istio metrics configuration and a Prometheus backend. More details on Prometheus: https://prometheus.io/ .
Why not give this a try for yourself with a free Kubernetes instance hosted on Oracle Cloud with $300 free credit http://bit.ly/brianMediumBlog
Brian Mathews @DevOps4Days
Istio — https://istio.io — is a new Microservice service mesh manager for making microservice deployments less complex and eases the strain on development teams.
How to deploy a simple Kubbernetes cluster with a few clicks through the Oracle Cloud Infrastructure (OCI) Web console.


Adegboruwa foraward - The Nation Newspaper
The Crime Reporters Association of Nigeria (CRAN) will on November 28, 2019 at the Sheraton Hotel, Ikeja Lagos, honour human rights activist Ebun-Olu Adegboruwa (SAN) for his consistency in human right activism.
The award will be presented to the Senior Advocate and other worthy recipients at the association’s 27th annual lecture/Award Ceremony scheduled for November 28, 2019, at Sheraton Hotel, Mobolaji Bank-Anthony Way, Ikeja, Lagos at 10am.
Read Also: Cyber Crimes Act has tackled hate speeches – FG
The theme for the lecture is ‘Proliferation of Arms: A threat to democracy.
According to the organisers, the ceremony will attract top security chiefs, frontline politicians, business moguls and other prominent Nigerians.


| MATLAB 文件帮助: cv.drawChessboardCorners | 查看 cv.drawChessboardCorners 的代码 | Index |
drawChessboardCorners Renders the detected chessboard corners
im = cv.drawChessboardCorners(im, patternSize, corners)
im = cv.drawChessboardCorners(..., 'OptionName', optionValue, ...)
patternSize = [points_per_row, points_per_column]
).The function draws individual chessboard corners detected either as red circles if the board was not found, or as colored corners connected with lines if the board was found.


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| CGAT User Manual | ||
|---|---|---|
| <<< Previous | The CGAT AlignmentViewer program | Next >>> |
Load data from the specified server or the local file system. See the "Starting AlignmentViewer " section.
Configure user property paramters. See the "Configuring AlignmentViewer " section.
Mark a specified set of genes.
An input form is opened for users to enter a list of gene names to be marked. Gene names can be entered individually or be read from a file. By pressing the Search button, gene names are registered. Locations of the registered genes are indicated on each axis of the dotplot display, and a new table window is opened containing the information of the these genes.
Additional calls of this function will add genes to the existing list. To remove genes from the list, enter the gene names to be removed and press Clear. To clear the entire list, press All Clear.
Filtering out the alignments that do not satisfy the specified conditions. Alignments are filtered from both the alignment and dotplot displays. A filter can be applied to one of the following fields:
Identity: percentage identity; numeric.
Score: similarity score; numeric.
Best Hit Status: one of the following: 3, orthologs (bidirectional best hits, BBH); 2, duplicated only in the sequence-2; 1, duplicated only in the sequnce-1; 0, paralogs.
Once filtered, a '*' mark is displayed on the left side of the alignment track (see Figure 11C). Additional calls will add filters to the existing one. For example, users can specify conditions such as "Best Hit Status is BBH and Identity ≥ 90%" by two successive calls of this function. To reset the filters, press the Reset Alignment Filters button.
Filtering out the genes or feature segments that do not satisfy the specified conditions. A filter can be applied to any field of any kind of segment that is currently loaded.
Kinds of conditions to be applied are different depending on the types of the fields (numeric and string). The following conditions are defined:
Available conditions are: Between (a ≤ x ≤ b), Except Between(x < a or b < x), Less Than (x < a), Less Equal (x ≤ a), Equal (x = a), Greater Equal (x ≥ a), and Greater Than (x > a), where a and/or b are values to be specified. To specify Between or Except Between, two values should be separated by a comma (e.g. "80,90").
Available conditions are Regex (regular expression) and Equal (exact match).
Once filtered, a '*' mark is displayed on the left side of the annotation track. Additional calls will add filters to the existing one. To reset the filter on the specified segment, choose the segment type and press the Reset This Filter button. To reset all filters, press the Reset All Filters button.
Search each genome for specific segments or sets of segments dynamically, by calling a CGI script running on the server. Results will be displayed in the additional annotation tracks, or in the outermost pair of tracks (overwriting the existing data) if the maximum number of segment tracks have already been used.
Currently, the following programs are available:
Blast: BLAST similarity search for a nucleotide [blastn(direct) / tblastx(translation)] or a protein [tblastn] query sequence.
PatSearch: Regular expression pattern search. See the document of the Java regex library.
DirRep: Direct repeat search.
SimpleRep: Simple repeat (or short tandem repeat) search.
Show table of genes or specified feature segment on the specified genome. In the table, each row contains species name, the beginning position, the ending position, strand direction, assigned color, and the name of the segment. Additional fields are added, if any, depending on the segment type. By clicking a row of this table, the current scope is reset such that the specified gene or segment is centered.
| <<< Previous | Home | Next >>> |
| The main window of AlignmentViewer | Up | Configuring AlignmentViewer |


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react-pivottable
React-based drag'n'drop pivot table with Plotly.js charts.
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A keyed file is a J component file in which the components are accessed using keywords.
A keyword may be any character string.
Load the keyed file system with:
load 'keyfiles'
This defines the main functions:
keycreate | create file |
keydir | keyword directory |
keyerase | erase file |
keyread | read data for keyword |
keywrite | write date for keyword |
read: if keyword not found, return '' else return value
write: if data='' then keyword is deleted
Examples:
keycreate 'mydata' 1 'Peter Rabbit' keywrite 'mydata';'name' 'Lake District' keywrite 'mydata';'loc' keydir 'mydata' loc name keyread 'mydata';'loc' Lake District


Next:
Definition of safety factor
Up:
Axisymmetric magnetic field
Previous:
Shape parameters of a
Safety factor
Subsections
Definition of safety factor
Expression of safety factor in terms of magnetic field
Expression of safety factor in terms of magnetic flux
Rational surfaces vs. irrational surfaces
yj 2018-03-09