Fork me on GitHubCreates an invisible perimeter around a target element and monitors mouse breaches.
First and foremost, download the script and include it as follows:
<script src="perimeter.min.js"></script>
Second, just call the Perimeter
(constructor) function and pass the corresponding options.
new Perimeter({ target: 'square', outline: 20, onBreach: function () { // Breach! } });
UPDATE: as from 0.2.0 it is also possible to pass DOM elements as target (instead of only a string). This way you can instantiate multiple Perimeters within a loop:
var items = document.querySelectorAll('.selector'), i = items.length; while (i--) { Perimeter({ target: items[i], outline: 100 }); }
In case you're working with perimeter.debug.js
you'll need to add a bit of CSS to actually see the boundary:
.boundary { position:absolute; border:1px dotted; background:#E4FECB; background:rgba(127,255,0,0.2); margin:0; padding:0; z-index:-1; }
| Property | Type | Description |
|---|---|---|
target
|
{String|HTMLElement} |
Either a string with the ID of the target element or a DOM element. If the corresponding element is not present the script will fail silently. |
monitor
|
{HTMLElement} |
Element where the mousemove event will be bound to and therefore acts as monitor for breaches. When this property is left out the document will be used as monitor.
|
outline
|
{Number|Array} |
The actual outline around the target element. This can either be an array with top/right/bottom/left dimensions or just one number which acts as shorthand for all directions. |
debug
|
{Boolean} |
When debugging in a local environment you can pass the debug option. This will create a division that will be positioned absolutely to the body and basically shows where the perimeter is located. By default, the debug functionality is excluded from perimeter.js . So, please make sure that you include perimeter.debug.js .
|
onBreach
|
{Function} |
Callback function that will be invoked when the monitor detects a breach. |
onLeave
|
{Function} |
Callback function that will be invoked when the mouse cursor leaves the perimeter. |
new Perimeter({ target: 'square', debug: true, outline: 50, onBreach: function () { this.target.innerHTML = 'breach!'; }, onLeave: function () { this.target.innerHTML = 'left perimeter'; } });
Pass a custom element that needs monitoring, if you leave it out Perimeter will use the document
as monitoring area.
Note: when using, for example, the parent element as monitoring area you will need to make sure it completely fits,
i.e. if the perimeter overlaps the monitoring element it will not trigger a breach properly.
Perimeter({ target: 'target2', monitor: $('#example-2')[0], debug: true, outline: 20, onBreach: function () { this.target.innerHTML = 'breach!'; }, onLeave: function () { this.target.innerHTML = ''; } });
Let's say you have a page with a fair amount of widgets, including one where users can upload files. Now, this widget will most likely not be used every time a user visits the page.
This is where Perimeter.js comes in handy. By setting a large enough perimeter you're able to lazy-load fileupload.js
when the perimeter is breached.
new Perimeter({ target: 'target3', debug: true, outline: [50, 500, 50, 0], onBreach: function () { if ( this.breaches.length === 1 ) { $.getScript('script.js'); } } });
Besides passing an ID as target, you can also pass a DOM element.
Perimeter({ target: $('#target4')[0], debug: true, outline: 20, onBreach: function () { this.target.innerHTML = 'breach!'; }, onLeave: function () { this.target.innerHTML = ''; } });
Animating the target element when entering the perimeter. Now, this is just simple animation, but you can imagine sky is the limit when it comes to animating the target element and getting the user's attention.
Perimeter({ target: $('#target5')[0], debug: true, outline: 20, onBreach: function () { $(this.target).stop().animate({ 'width': this.target.clientWidth*1.5, 'height': this.target.clientHeight*1.5 }, 300); }, onLeave: function () { // animate to default values } });
Tested in the latest (stable) versions of Google Chrome, Mozilla Firefox, Opera and Safari. As for Internet Explorer; I have tested in IE8+ but it should work in IE7 as well (though, it might be quirky).
Note: needless to say, since Perimeter.js listens to the mousemove
event to detect breaches it will not work on mobile devices.
When I have some spare time I will try to accomplish the following:
Perimeter.js is written by Boye, a seasoned front-end developer with over eleven years of in-depth web development experience and passionate about web standards. Graduated in 2008 from the Rotterdam University (Media Technology, BICT). Always aiming for semantic, cross-browser & cross-platform consistent and maintainable code.
Copyright (C) 2013 e-sites, http://e-sites.nl/ Licensed under the MIT license.


Sebastian Vettel plays down Lewis Hamilton and Michael Schumacher comparisons
by Bobby VincentSebastian Vettel has heaped the praise on what Lewis Hamilton has done over his Formula 1 career, but also played down comparisons between the British driver and the guy whose record he is chasing; Michael Schumacher.
Hamilton clinched his sixth world title last weekend, after finishing in second-place at the United States Grand Prix, meaning he is now just one Drivers' Championship away from Schumacher's all-time record of seven.
However, Vettel, who has won four himself, has played down the comparisons between the Stevenage-born driver and Schumacher, saying it's a difficult job to compare the two drivers.
"I don't really look at it that way, but if you want to look at (it) that way, then obviously this year we failed to stop and hopefully next year, we will succeed," Vettel replied when asked about Hamilton getting close to Schumacher's all-time record, as quoted by RaceFans.net.
"I think it's pretty incredible what Mercedes, together with Lewis in the last years, have achieved. You need to respect that and honour that. And I think it's always independent from what other people have done in a different time. It's very hard to compare these things.
"But certainly, he and they deserve what they have achieved. I think you don't achieve these things by accident."


| Table 1 |
Relative risks ( RRs) and attributable risks ( ARs) for each ... |
| Table 2 |
Heat - attributable mortality in the period 2026–2045, assum ... |
| Table 3 |
Heat - attributable mortality in the period 2081–2100, assum ... |
| Table 4 |
Heat-related mortality by period, with the percentile corres ... |
| Table 5 |
Heat-related mortality by period, with the percentile corres ... |


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Makes 12
Dietary
This is an expensive treat to buy, but easy to make at home from store cupboard ingredients. Florentines make a wonderful edible gift.
Preheat the oven to 180C/350F/Gas 4.
Place the butter into a medium saucepan over a medium heat. Once melted, add the sugar and flour and whisk continuously until everything is combined and you have a smooth pale paste. Pour in the cream, stirring as you pour until completely incorporated. The mixture should be smooth.
Turn off the heat, add the almonds, mixed peel, stem ginger, orange zest and cherries. Mix with a wooden spoon until combined and set aside to cool.
Line a baking tray with parchment paper and place teaspoons of the florentine mixture onto the tray, allowing 3cm/1¼in between them as they will spread during cooking. You may need to do this in batches, or use two trays.
Place the tray into the oven and bake for 12-15 minutes, or until golden-brown. Remove from the oven and allow to cool for two minutes before quickly transferring to a wire cooling rack to cool completely.
While the florentines are cooling, melt the chocolate in a heatproof bowl set over a pan of simmering water. (Make sure that the base of the bowl does not touch the water.)
Drizzle the cooled florentines with the melted chocolate. Allow to set then serve. Or store in an airtight container for up to three days.
You need JavaScript to view this clip.
Melting chocolate


Gateway
BOT
18-Jul-18 11:33 PM
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Appointment Id
Doctor's Name:
Clinic's Name:
Appointment Date :
Appointment Time:
Address :
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{{appointmentDetails.doctor.name}}
{{appointmentDetails.doctor.clinicName}}
{{appointmentDetails.appointmentDate}}
{{appointmentDetails.appointmentTime}}
{{appointmentDetails.doctor.address.address}}
Appointment Id
Doctor's Name:
Clinic's Name:
Appointment Date :
Appointment Time:
Address :
{{appointmentDetails1.appointmentId}}
{{appointmentDetails1.doctor.name}}
{{appointmentDetails1.doctor.clinicName}}
{{appointmentDetails1.appointmentDate}}
{{appointmentDetails1.appointmentTime}}
{{appointmentDetails1.doctor.address.address}}


Looking for Talented Professionals
Current Job Listings at Keiko Corp
| Job Title | Description | Salary | Location | Start Date | Work Length |
|---|---|---|---|---|---|
| Front End Engineer |
Working with clients to develop the overall look and design of a
website. Writing website code with programming languages such as HTML, CSS and Javascript. Fixing any website issues or bugs that arise Experience using modern Javascript frameworks like React, Vue, etc... |
$70,000 - $75,000 | Silicon Valley, CA | Immediate | 6 month contract |
| Full Stack Developer |
Developing Web-based applications using the MERN stack,
including React.js, Node.js, and MongoDB. Creating RESTful services with Node.js. Creating unit tests using Jest and developing integration tests. Integrating user-facing elements with server-side logic. |
$110,000 | Silicon Valley, CA | October 10, 2020 | Full Time |
| Front End Designer |
Develop new user-facing features Ensure the technical feasibility of UI/UX designs Experience using design tools such as Figma, Adobe XD, etc.... Knowledge of CSS preprocessor such as Sass and Less |
$67,000 | Silicon Valley, CA | ASAP | Contract to Perm |
| Data Scientist |
Build large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external)to enable analytical solutions. Provides input into the creation of detailed project plans, work assignments, target dates and other aspects of assigned projects. Ad hoc reporting and analytics to support requests from the Bank's various lines of business. Develop and manage analysis and algorithms that generate actionable insights and programs to improve long-term revenue and relevance. |
$95,000 - $100,000 | Silicon Valley, CA | November 1, 2020 | Long Term Contract |
| System Admin |
Responsible to manage and maintain a large Windows Servers
installation running on VMware. Incorporate information security best practices in all aspects of Systems Management. Knowledge of Linux and Ubuntu OS is a plus. Training of staff members within and without the Systems Administration Department |
$45,000 - $55,000 | Silicon Valley, CA | Immediate | Full Time |
Front End Engineer
Job Description
- Working with clients to develop the overall look and design of a website.
- Writing website code with programming languages such as HTML, CSS and Javascript.
- Fixing any website issues or bugs that arise
- Experience using modern Javascript frameworks like React, Vue, etc...
Salary
$70,000 - $75,000
Location
Silicon Valley, CA
Start Date
Immediate
Work Length
6 month contract
Full Stack Developer
Job Description
- Developing web-based applications using the MERN stack, including React.js, Node.js, and MongoDB.
- Creating RESTful services with Node.js.
- Creating unit tests using Jest and developing integration tests.
- Integrating user-facing elements with server-side logic.
Salary
$110,000
Location
Silicon Valley, CA
Start Date
Octobe 10, 2020
Work Length
Full Time
Front End Designer
Job Description
- Develop new user-facing features.
- Ensure the technical feasibility of UI/UX designs
- Experience using design tools such as Figma, Adobe XD, etc....
- Knowlegde of CSS preprocessor such as Sass and Less
Salary
$67,000
Location
Silicon Valley, CA
Start Date
ASAP
Work Length
Contract to Perm
Data Scientist
Job Description
- Build large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data(internal and external) to enable analytical solutions.
- Provides input into the creation of detailed project plans, work assignments, target dates and other aspects of assigned projects.
- Ad hoc reporting and analytics to support requests from the Bank's various lines of business.
- Develop and manage analysis and algorithms that generate actionable insights and programs to improve long-term revenue and relevance.
Salary
$95,000 - $100,000
Location
Silicon Valley, CA
Start Date
November 1, 2020
Work Length
Long Term Contract
System Admin
Job Description
- Responsible to manage and maintain a large Windows Servers installation running on VMware.
- Incorporate information security best practices in all aspects of Systems Management.
- Knowledge of Linux and Ubuntu OS is a plus.
- Training of staff members within and without the Systems Administration Department
Salary
$45,000 - $55,000
Location
Silicon Valley, CA
Start Date
Immediate
Work Length
Full Time


For the following reaction, what is the limiting reagent if we start with 2.80g of Al and 4.25g of Cl2?
The First step to starting any limited reagent problem
is to make sure you have a balanced equation! Once you
have detemined it's balanced, you can start the problem.
1. Convert the gram amounts of the elements given from
the problem, to moles. This is done by taking the grams
of the element given in the problem, and dividing it by
molar mass of that same element.
The Answer will display here!
2. Find the limiting reagent using the stoichiometric ratio.
The Answer will display here!
The following reaction is performed with 1.56g of BaCl2
which is the limiting reagent. We isolate 1.82g of our desired product AlCl.
3. Now we can calculate the Percent Yield of the equation.
Firstly, you need to multiply the amount of the limited
reagent by its molar mass.
The Answer will display here!
4. Using the information from your given equation,
multiply the moles of the limited reagent by the
stoichiometric factor of the excess in the equation.
x
The Answer will display here!
5. Now take the moles you just calculated
and multiply them by the molar mass of that element.
x
The Answer will display here!
Calculate the Yield!
The Percent Yield will display here!


Testing the capabilities possible with SVG inserted into the document in different ways
As an image:
Inside an object tag:
Your browser doesn't support SVG
Inserted 'inline':
Star 1
Inserted via CSS as background image:
What about <use> ?


Sandi Metz rules
First rule
Number of 100 line classes vs time
Second rule
Number of 5 line methods vs time
Third rule
Number of methods calls with 4 params vs time
Fourth rule
Number of controllers with 1 instance variable vs time


Welcome to Mozilla Firefox! We are dedicated to providing you with an incredible internet browsing experience. You can use Mozilla Firefox to:
We also don't eat up as much RAM as chrome, so that's a definite plus! If you have any questions about our product after browsing this website, please visit our contact page!


|
App Engine Python SDK
v1.6.9 rev.445
The Python runtime is available as an experimental Preview feature.
|
Public Attributes | |
| has_request_id_ | |
| request_id_ | |
Static Public Attributes | |
| int | has_request_id_ = 0 |
| string | request_id_ = "" |
| int | krequest_id = 1 |


Before Change
def set_subscription_policy(topic_name, subscription_name):
Sets the IAM policy for a topic.
pubsub_client = pubsub.Client()
topic = pubsub_client.topic(topic_name)
subscription = topic.subscription(subscription_name)
policy = subscription.get_iam_policy()
// Add all users as viewers.
policy["roles/viewer"] = [policy.all_users()]
// // Add a group as editors.
editors = policy.get("roles/editor", [])
editors.add(policy.group("cloud-logs@google.com"))
policy["roles/editor"] = editors
// Set the policy
subscription.set_iam_policy(policy)
After Change
// Add all users as viewers.
policy.bindings.add(
role="roles/pubsub.viewer",
members=["allUsers"])
// Add a group as an editor.
policy.bindings.add(


Select a project icon to view my work.
|
A geospatial mapping application utilizing Google Maps API, developed in .Net Framework, SQL Server, and VueJS |
|
|
Personal website to showcase my experinces and projects, developed in Angular and Express. |
|
|
A white elephant gift exchange site in early development utilizing the MEAN stack. |


Included Eligibility Screening Identification
Records identified through database searching (n=335) PubMed=135, Embase=82, Web of Science=20, Additional records identified Cochrane Library=50 through other sources Chinese Wanfang database=38 (n=0)
Records after duplicates removed (n =302)
Records excluded (n=296) Irrelevant studies=274 Meetings abstracts=22 Letter=1
Records screened (n =302)
Full-text articles excluded, with reasons (n=0)
Full-text articles assessed for eligibility (n=6)
I
Studies included in qualitative synthesis (n=6)
—"
Studies included in quantitative synthesis (meta-analysis) (n=6)


|
|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|
SSW Monthly Newsletter And User Group Reminder
|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|
This newsletter is a service offered exclusively to clients of Superior
Software for Windows.
It offers the latest product news as well as Hot Tips which will help
you get the most from your existing SSW Products and Services.
1. THE ACCESS/ASP/SQL SERVER USERS GROUP SYDNEY, Wednesday 16th August
2000
2. PRODUCT NEWS: SSW DATA RENOVATOR - Data Renovator gets rave review
in Technical Magazine Smart Access
3. HOT TIPS FOR DEVELOPERS
4. DATABASE NEWS - THE HOME LOAN COMPANY
5. ASP Guru? Work at SSW!
==========================================================================
1. The Access/ASP/SQL Server User Group
Sponsored by Microsoft and SSW Wednesday 16th
August 2000, 5:45 pm ==========================================================================
SQL Server 2000 Tools
Overview This Month
We have a couple of presentations, the feature one from Dave Lean of Microsoft.
Dave will be presenting a detailed overview of all the tools and their
enhancement in SQL Server 2000.
What do I bring along?
Just your self.... and a hot tip on any of these topics:
* Access
* ADP
* VB
* HTML / Front Page
* ADO
* ASP
* SQL Server or
* Hot Sites
Tips to get there You can catch the following buses from Town Hall City:
288 - Express to Epping. 290 & 292 - Epping via Crows Nest. Ask your friendly
bus driver to let you off near Microsoft. See the map at www.ssw.com.au/accessUG
==========================================================================
2. SSW DATA RENOVATOR
==========================================================================
Data Renovator gets rave review in Technical Magazine Smart Access by
Garry Robinson www.vb123.com
What does he say?
"Into this minefield of complexity and valuable live data steps an Access
utility called SSW Data Renovator. The program is designed to transfer
information from an old database structure to a new database structure.
It does this by analyzing both databases and working out what has changed
between the old and the new... "I would recommend the product for a lot
of transfer exercises as it will allow you to concentrate on the job of
getting the newest database design correct... "Thinking back this program
could have saved me about 30 hours in the last year and as the program
is delivered to you fully operational for 50 trials, then you should have
no trouble deciding if it OK for you..." visit http://www.ssw.com.au/ssw/DataRenovator/
to see how SSW tools can make development that much easier... Get more
info at the web site - http://www.smartaccessnewsletter.com/ or contact
Garry Robinson www.VB123.com.
=========================================================================
3. Hot Tips for Developers
=========================================================================
SQL Server
The SQL Server 7.0 "Currency" data type stores monetary information to
four decimal places. This can get messy when calculating and storing values
such as GST Amounts. To avoid repeatedly using "CAST" and "CONVERT" and
"ROUND" in stored procedures, you should try using a user-defined datatype.
A data type of decimal (19,2) should do the trick. 19 is the total length
of the number ("precision"), and 2 is the number of decimal places ("scale")
of the number. To make it even easier to use, create a new default of
"(0)" and assign it to the datatype. Using data types and defaults in
this way allows greater consistency between fields in the database.
696e666f72407373772e636f6d2e6175
VB/ Access Beginners Tip
Don't use If...ElseIf...ElseIf... when a Select Case is more appropriate
Example of code in the OnCurrent Event
If DateDiff("d", [LastPay], Date) <= 30 Then
Me.Detail.BackColor = vbWhite
ElseIf DateDiff("d", [LastPay], Date) < 60 Then
Me.Detail.BackColor = vbYellow ElseIf
DateDiff("d", [LastPay], Date) > 90 Then
Me.Detail.BackColor = vbRed
End If
This code more efficient and more easily updated with this Select Case...
lngDays = DateDiff("d", [LastPay], Date)
Select Case lngDays
Case <= 30
Me.Detail.BackColor = vbWhite
Case 31 to 59
Me.Detail.BackColor = vbYellow
Case 60 to 89
Me.Detail.BackColor = vbBlue
Case Else
Me.Detail.BackColor = vbRed
End Select
Thanks to Brendan Reynolds<EMAIL_ADDRESS>Got a hot tip you want to share? Email 696e666f72407373772e636f6d2e6175
=========================================================================
4. DATABASE NEWS - THE HOME LOAN COMPANY =========================================================================
The Home Loan Company SSW has worked with The Home Loan Company since
1996. The Home Loan Company commissioned SSW to build an Access 97 database
to administrate the businesses customer and financials. Peter Beverley,
The Home Loan Company's General Manager said that "SSW have shown real
expertise in Access, that's why we've kept coming back."
For all your home loan needs call the Home Loan Company 61 2 9840 1011
SSW caters for a broad range of clients, from small single person enterprises
to large multinationals. Our skill set is diverse enough to be able to
meet your range of development needs while maintaining a level of expertise
that ensures we know how to answer your questions. SSW has built up serious
expertise in Access over the last 10 years and still consults in pure
Access as well as SQL, VB & ASP.
Call SSW 61 2 9953 3000 for all your Access, SQL Server, VB ad ASP development
needs.
=========================================================================
5. Love New Technology? Work at SSW
=========================================================================
SSW is looking for an articulate Senior Database Developer focused on
new technology and dedicated to getting the job done.
SQL SERVER + Stored Procedures
ASP
COM+
Attractive Salary will be negotiated. Call us 61 2 9953 3000 to arrange
an interview.
========================================================================
SSW’s Marketing Team edits this newsletter. We would like your feedback.
If you have a tip you want to share, a website you want us to review or
comments on our service, please write to 696e666f72407373772e636f6d2e6175
or visit us at
www.ssw.com.au SSW Pty Limited Gateway Court,
Suite 10, 81 - 91 Military Road, Neutral Bay, NSW,2089 Phone: +61 2 9953
3000 Fax: +61 2 9953 3105 www.ssw.com.au SSW specialises
in delivering efficient, cost effective solutions for your database or
Internet requirements. Our ability to integrate these functions together
helps companies streamline operations, while making the most of opportunities
presented by the on-line world. If you can't use our services at the moment
but know someone who may, pass on our details.........it could earn you
some easy $$$$! SSW has a guaranteed $150 Spotters Fee for
any referrals we convert into new Database or Web Site development business.
==========================================================================
We're not the people surfing the net, we're the people making the waves.
==========================================================================
To unsubscribe from this newsletter<EMAIL_ADDRESS>|


|
Contiki 2.5
|
Modules | |
| USB Configuration | |
| USB Contiki Task | |
| USB Driver | |
| RNDIS Support | |
| USB Mass Storage Task | |
| CDC Task | |
| 6LowPan Ethernet Interop |
This document explains the Raven USB Stick when operated on an IPv6 network. The USB Stick allows the computer, and outside networks, to communicate with low-cost embedded nodes. The "RZUSBSTICK" hardware, when loaded with the Contiki "ravenusbstick" example, forms the complete device described here. This combination of hardware and firmware is henceforth referred to as the "Jackdaw".
The Jackdaw supports multiple operating systems, customizing itself to OSes as needed. The overall idea for a network interface is to emulate an ethernet interface. Data is passed to the Jackdaw as if it was an ethernet port, however the Jackdaw passes this data over the air to end nodes.
The Jackdaw can function as an 802.15.4 sniffer, and can sniff the raw 802.15.4 frame at the same time it is providing network functionality.
In addition to the network interface, the Jackdaw can enumerate a USB serial port at the same time. This serial port can be used to pass debug messages, or to change operating parameters as needed. Note that WindowsXP SP2 or lower does not support this, the serial port will only be enumerated on Linux or WindowsXP SP3. Windows Vista should work with minor modification to the INF files.
Finally the Jackdaw has the ability to show up as a USB mass storage drive. This is used to load drivers onto a PC without needing any other hardware, such as a driver disk. The amount of storage is very limited at around 59 Kbyte, sufficent for a few driver files.
When plugging the Jackdaw in, several things occur in sequence:
If the device has never before been plugged in, you will end up with an unformatted USB mass storage device. You can format this as you would a normal drive - on Windows right click and select "format". If the device has previously been formatted, or was programmed from a preformatted flash image, you will end up with a new drive which contains the drivers needed to have the device work on Windows.
Windows should prompt you for drivers for the device. Simply point it to location "C:\contikisrc\cpu\avr\dev\usb\INF" Where the directory "c:\contikisrc" is where the Contiki source code is on your computer.
If you have a Jackdaw with a formatted mass storage section, with the drivers on it, you can simply wait until that drive shows up. Then point the Windows "new hardware found" Wizard to this new drive, which should have three .INF files in it.
The Jackdaw has excellent support in Linux. The first thing to check is that it was detected. Plug it in, and check the output of 'dmesg'. You should see something like:
usb 5-2: new full speed USB device using uhci_hcd and address 29 usb 5-2: configuration #1 chosen from 1 choice rndis_host 5-2:1.0: dev can't take 1338 byte packets (max 1338), adjusting MTU to 1280 usb0: register 'rndis_host' at usb-0000:00:1d.3-2, RNDIS device, 02:12:13:14:15:16 cdc_acm 5-2:1.2: ttyACM0: USB ACM device usb 5-2: New USB device found, idVendor=03eb, idProduct=2021 usb 5-2: New USB device strings: Mfr=1, Product=2, SerialNumber=3 usb 5-2: Product: RZRAVEN USB DEMO usb 5-2: Manufacturer: Atmel usb 5-2: SerialNumber: 1.0.0
You can then check that it was assigned a link-local address. Run 'ifconfig' and observe the output, looking for the line about usb0:
usb0 Link encap:Ethernet HWaddr 02:12:13:14:15:16 inet6 addr: fe80::12:13ff:fe14:1516/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1280 Metric:1 RX packets:131 errors:131 dropped:0 overruns:0 frame:131 TX packets:169 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:30429 (29.7 KiB) TX bytes:28290 (27.6 KiB)
The address that starts with "fe80" is the link-local address. If this wasn't automatically assigned, you can assign one as such:
ip -6 address add fe80::12:13ff:fe14:1516/64 scope link dev usb0
If you wish to see how to generate router advertisements in Linux see the Running Contiki with uIPv6 and SICSlowpan support on Atmel RAVEN hardware .
You will also notice the line mentioning ttyACM0, that is the 'debug' interface. You can connect any terminal emulator to it such as gtkterm. Simply set the port to "dev/ttyACM0". See the Debug Port Useage section for more information.
Once the drivers are installed, you should see the device show up in "Network Connections". You should see something like this:
Right-click on this, and hit "Properties".
Click the "Install" button. Select "Protocol" as the type of network component, and hit "Add". The manufacture is "Microsoft" and the network protocol is "TCP/IP version 6". Hit OK.
Then in the window "This connection uses the following items:", uncheck everything EXCEPT "Microsoft TCP/IP version 6". Hit OK and get out of that dialog. We can no longer do anything graphically, as WindowsXP doesn't have support for IPv6 through anything but the command-line interface.
If you wish to see how to configure Windows to generate router advertisements, see the Running Contiki with uIPv6 and SICSlowpan support on Atmel RAVEN hardware.
You may additionally see a debug port enumerate. This will show up as a serial port, which can be checked by going to the Device Manager and seeing if an "Atmel Raven USB Debug Port" shows up under "Ports (COM & LPT)". If so, you can connect a terminal emulator such to this port. A simple one that is recommended is "Br@y++ Terminal".
The Jackdaw enumerates a CDC serial port. This is typically used by USB<-->Serial converters, however in this case it simply emulates a serial port. Since there is no physical serial port, the setting of the baud rate does not matter.
The Jackdaw sends both a LF and CR after every line, so you should disable any terminal emulator options that add extra CR's.
With the port connected, strike the 'h' key to bring up the main menu. It should look something like this:
********** Jackdaw Menu ****************** * * * Main Menu: * * h,? Print this menu * * m Print current mode * * s Set to sniffer mode * * n Set to network mode * * 6 Toggle 6lowpan * * r Toggle raw mode * * u Switch to mass-storage* * * * Make selection at any time by pressing * * your choice on keyboard. * ******************************************
Network mode
Network mode is the default mode. In this mode addresses inside IP packets will be adjusted to reflect the network they are on. For instance inside a Router Advertisement message, the link-layer address on the ethernet side will be 6 bytes. On the 802.15.4 side it will be 8 bytes. This allows both systems to accept this IP packet as valid.
Sniffer mode
In sniffer mode, the IP packets themselves are left unchanged. This means that you won't be able to form a network, as the computer's IP stack will not understand why the link-layer addresses are 8 bytes. It is only expecting 6 bytes, as it is assuming an ethernet layer.
6lowpan enabled/disabled
Enabling or Disabling 6lowpan changes if the USBStick will decode 6lowpan messages into valid IPv6 messages and send them over the ethernet interface. Enabled by default.
raw mode enabled/disabled
If raw mode is enabled, every 802.15.4 frame that comes in will be sent to the computer raw. It will be sent as an ethernet frame, with the ETHTYPE set to 0x809A. Note this is not an IEEE standard, so to use this device as a 802.15.4 sniffer needs some extra work, described in the Using Wireshark section. Also for every 802.15.4 packet that is sent out over the RF port is sent out over ethernet as well.
Mass Storage
This will switch the device to Mass Storage Mode
When using the Jackdow with 6lowpan, you can simply operate Wireshark as normal. Select the interface as the USB Stick, on Linux this will likely be "usb0", and on Windows it will just call the interface "Atmel". You will see pure IPv6 packets, with traffic such as ICMPv6, TCP, or UDP.
If you have raw mode enabled (it is by default), you will also see 802.15.4 information. You may see many 802.15.4 packets for one IP packet due to fragmentation. You can also put either 'ipv6' or 'wpan' in the filter box at the top of Wireshark to filter out everything but IPv6 or 802.15.4 traffic. Also, for received frames the 802.15.4 data will come BEFORE the IPv6 packet. For transmitted frames, the 802.15.4 data will come AFTER the IPv6 packet. You can see that in the following, where messages from the same source are boxed:
Note that Wireshark does have support for 802.15.4, but you need version 1.1.2 or later. See Wireshark download for download instructions.
Also be sure to use the features of wireshark to make life easier! You can colorize packets based on various things, including destination and source addresses. The following example colourizes packets destined for different addresses differently, quickly letting you see message flow. You could furthur colorize based on the message type, to allow you to see 802.15.4 packets and IPv6 packets in different colors. The following example has the 'source_eth' and 'dest_eth' rules at the top of the order, you may want to put them lower so you still see other colourizations such as bad TCP, checksum errors, etc.
The mass storage mode provides a small amount of storage by using part of the internal flash of the AVR. This will get erased every time the AVR is reprogrammed.
The Jackdaw can end in mass storage mode in three ways. It can fail all other modes and end up there, it can be forced there through the debug port, or it can be forced there through a hardware switch. see the Forcing Jackdaw to certain Modes section.
Once in mass storage mode, you will have to format the device. This can be done by right-clicking on it and hitting format, or if you attempt to open the drive Windows will ask you to format it. Once it is formatted you can store a few INF files on it! If you read the FLASH back from the AVR, you now have an image with a preformatted drive with those INF files on it already!
The Jackdaw has several operating modes, and very limited inputs to switch between them. Hence it auto-switches to what it feels is the most useful mode, but it's not always right. Hence an override is provided to allow you to use it in other modes.
This override is to short two pads on the back of the Jackdaw. Note that only a somewhat conductive short is needed, a moist finger should be plenty of conductivity. The pads to short are visible below the"A" in the "ATMEL" logo. There will be three pads - only short the two closest to the "ATMEL" logo. Or as below:
Short them when plugging in the Jackdaw, and it enters "reverse logic mode". If it doesn't, you either might have not enough conductivity, or you might be shorting to the third pad too much.
In "reverse logic mode" it will stay in the main mode (Network interface + Serial debug port) if it doesn't see the driver loading on the host computer. This mode is needed for Windows Vista, where you have to keep the hardware plugged in while installing drivers.
If the driver DOES load OK, it will remount itself as a mass storage device. The idea is that you can hold the Jackdaw a specific way when plugging in and it will mount as mass storage. Note that it will FIRST mount as a network interface for a few seconds before switching.
One problem with this is Windows XP SP2: it will never exit the first (network + debug) mode, and you don't have a debug port to switch to mass storage mode. You can either upgrade to SP3, or uncomment this line in platforms\ravenusbstick\contiki-raven-default-init-lowlevel.c:
#define WINXPSP2
Addresses on the 802.15.4 network are 8 bytes long, and addresses on an ethernet network are 6 bytes long. This provides some problems for bridging the two networks. This should be done by routing the IP packets between the ethernet and 802.15.4 network, but the current code does not have support for routing.
As a temporary solution, addresses are "translated" when passing through the Jackdaw. This generates valid ethernet addresses from the 802.15.4 addresses, and valid 802.15.4 addresses from ethernet addresses. Note this also includes translating addresses which are inside IP packets. Certain messages, such as various neighbor discovery messages, include a link-layer address. An IP stack which is expecting an ethernet-sized address will get confused by the different size, and vis-versa.
Details of the translation can be found in the 6LowPan Ethernet Interop documentation. It is important to remember this is a temporary solution until proper routing is implemented.


Recipe: Applicious Apple Crisp
by CBS News"Sunday Morning" presents recipes from the kitchens of Tupperware.
"UltraPro Apple Crisp is the ultimate combination of sweet and crunchy. With a dash of our Cinnamon-Vanilla Seasoning, this treat will be on your family's list of feel-good favorites." [The instructions recommend a Tupperware Mandoline food slicer.]
Applicious Apple Crisp
Makes 6 servings
Ingredients:
4 apples, peeled & cored
1 tbsp. lemon juice
½ tbsp. cinnamon
¼ cup granulated sugar
2 tbsp. all-purpose flour
¾ cup all-purpose flour
¼ cup old-fashioned oats
¼ cup brown sugar
½ tbsp. DIY Cinnamon-Vanilla Seasoning Blend
½ tsp. coarse kosher salt
½ cup nuts, chopped
½ cup butter, melted
Preparation:
Prep the apples - Preheat oven to 425° F. Assemble Mandoline with circular knob set to 4 and triangular knob set to "lock." Attach apple to food guider and slide down Mandoline to slice. Repeat with remaining apples until all apples have been sliced. Place sliced apples in medium bowl, toss with lemon juice, seasoning blend, sugar and flour.
Make the topping - In small bowl, combine all topping ingredients and mix well. Place sliced apples in UltraPro 2-Qt. Square Pan (or UltraPro 2-Qt. Casserole Pan), sprinkle with topping evenly.
Brown and serve - Bake 20 minutes or until apples are cooked through and crisp is golden brown.
For more info:


We are a Creative Agency & Startup Studio that provides Digital Products and Services turns to focus on client success. We specialize in user interface design, including front-end development which we consider to be an integral part.
We are a Creative Agency & Startup Studio that provides Digital Products and Services turns to focus on client success. We specialize in user interface design, including front-end development which we consider to be an integral part.
6 August 2019
We are a Creative Agency & Startup Studio that provides Digital Products and Services turns to focus on client success. We specialize in user interface design, including front-end development which we consider to be an integral part.


Do you want to see your favorite animal?
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We automate the music publishing administration process, collecting mechanical and digital royalties from platforms including Spotify, Rhapsody, TouchTunes, and other interactive streaming services. We license and distribute mechanical royalties. Through our technology and business processes we locate accurate metadata to help us determine if songwriters are being paid properly and on time. It also allows us to recover past revenue and make certain songwriters are paid in the future. We are focused on creating, managing, and distributing music for our clients.
We provide detailed data revealing song usage and performance insights. The collection of publishing royalties should be accessible to anyone from anywhere. Beyondbond Music maintains direct relationships with PROs and the publishing network in the industry.
We aim to augment artists’ careers and catalogs through on-and-offline branding. In addition to sync licensing, we specialize in digital licensing, live events and integrated brand partnerships.
Our Songwriters Workshop arranges co-writing opportunities in New York City. We offer our songwriters the opportunity to craft original works for a variety of film, television, and video game productions.
Originally founded in 1999, Beyondbond represented artists with song composition abilities, blossoming into an artist management and music publishing entity.With a deep appreciation for the craft of songwriting and respect for those who practice it, we believe new digital platforms and distribution channels should be embraced. Through our direct relationships with digital streaming platforms like Spotify, we’ve brought added transparency to royalty payments and receive compensation that is due.


{% if return_object %}
Refresh token has been created with value:
{{ return_object }}
To do:
1. Save the refresh token as a system secret in SESAM with id : refresh_token
2. Add "refresh_token": "$SECRET(refresh_token)" to the system config
You're now ready to use the Microservice!
The following paths can be requested in your pipe config
/planner/groups
/planner/users
/planner/tasks
/planner/plans
{% elif return_error %}
{{ return_error }}
{% else %}
No token were created. Please go back to the index route and try again...
{% endif %}


about me
Hey, I am Ravi Prasad and welcome to my portfolio site. I have more than 10 years experience in Front-end Web Development.
I have good understanding in Level AA Accessibility Tools used Wave, Apple Voice Over and JAWS
Skills
Web Technologies
html
CSS
SCSS/ SASS
bootstrap CSS framework
RWD
javascript
reactjs
angular
Designing Tools
adobe photoshop
adobe illustrator
zeplin
figma
invision app
balsamiq
May 2020 - till date
Epsilon India
Senior Software Engineer
June 2016 - May 2020
Mindtree Ltd
Technical Lead
Sept 2013 - June 2016
emids Technologies
UXP Analyst
Dec 2011 - Sept 2013
Logix Microsystems and Carazoo Ltd. (Now IZMO Ltd.)
Web Developer
2005 - 2010
Bachelor of Engineering Visvesvaraya Technological University
SLN College of ENgineering - Raichur
2003 - 2005
Pre University Karnataka Board
LVD College - Raichur
2002 - 2003
SSLC Karnataka Board
KSSB High School - Raichur


@(context: PageContext)(implicit assets: AssetsFinder) @common.main(context) {
The site provides metrics for cycling (or for other kind of sports) activities, trail descriptions, biking videos.
The metrics page compares yearly aggregated data, such as distance, hours ridden, elevation gained and shows year to date series as well. The yearly data is also presented as a heatmap, so it is easy to compare the efforts for a given period of the year. Currently I'm using Strava and Garmin Connect to track my activities, the data feed is collected via the Strava API. Let me know if you are interested to see other kind of metrics useful to analyze the riding data.
I'd love to hear your feedback! If you have any questions, complains or even compliments feel free to contact me. Thank you for visiting and I'm waiting you to come back for new content.
REST API for statistics.


Info bee was started for the welfare of the Department where many Technical events has been conducted and many tech talks given by our students.
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Spacegroup analysis¶
mcu can analyze spacegroup symmetry of the crystal. You can analysze whether the crystal is a standard unit cell or a primitive unit cell, then transform it between them. mcu can export variety of crystal structure formats, such as cif, POSCAR, xsf. For cif format, you can either get the structure in its spacegroup or in P1 symmetry. These analyses can be started with a mcu.VASP or mcu.POSCAR object. Here is an example:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | import mcu
# Define a POSCAR object with POSCAR/CONTCAR file
mymcu = mcu.POSCAR()
# Analyze spacegroup
mymcu.get_symmetry()
# Transformto a primitive unit cell
mymcu.to_primcell()
mymcu.get_symmetry()
# Transformto a standard unit cell
mymcu.to_stdcell()
mymcu.get_symmetry()
mymcu.write_poscar()
# Export to cif. The current symmetry if analyzed will be included in cif file.
# if get_symmetry() is not executed yet, then a P1 structure will be returned.
mymcu.write_cif()
# Export a P1 structure even though the spacegroup was analyzed
mymcu.write_cif(symmetry=False)
|
By default, the mymcu.cell (read from POSCAR/CONTCAR or vasprun.xml) is used for the above analyses. The mymcu.cell is in spglib format so you actually can pass it to the spglib module to do other analyses. Moreover, you can analyze symmtry for any structure of interest.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | import mcu
# Define a POSCAR object with POSCAR/CONTCAR file
mymcu = mcu.POSCAR()
cell = mymcu.cell # in general, any cell type
mymcu.get_symmetry(cell)
# mymcu.cell is transformaed to a primitive cell
mymcu.to_primcell()
prim_cell = mymcu.cell
mymcu.get_symmetry(prim_cell)
# export a cif file for a cell
mymcu.write_cif(prim_cell)
|
You can read any cif (e.g. cif from XRD refinement) from mcu and export it to your desire format (POSCAR or xsf). One should be careful about the possible disosder (e.g. very small distance between atoms) from the XRD cif file.
1 2 3 | import mcu
mycif = mcu.CIF('yourcif.cif') #if a file is not provided, then the first cif file (if you run command ls) will be processed
mycif.write_poscar()
|


Bahia Del Sol lies one mile inside the Estero de Jaltepeque which is on the Costa del Sol peninsula.
Take note about crossing the sand bar in the Docking section below.
Position 13°16.3'N, 88°53.8'W.
Clearance is straightforward. Customs and the Port Captain will wait on the pier and formalities are completed in their office in the Hotel Complex.
Port Captain entrance fee: US$30.
Customs/immigration fee: US$10 per visa for Americans. Nothing for EU Citizens.
Clearing out with a Zarpe to Mexico: US$40
Last updated January 2013.
There is a sandbar at the entrance which can be dangerous and can only be navigated at high tide. Entry should not be attempted without a pilot, hail the Bahia Del Sol Hotel on VHF Ch.16 to organise one. Try to time your arrival one or two hours before high tide.
If entry is not possible, you can anchor in 45-50 feet seaward of the entrance. Holding is good in sand, however it can be somewhat uncomfortable.
Alternatively you can find shelter in Barillias (32 miles) or the Gulf of Fonseca (60 miles).
The hotel here has a small marina. Call the marina on VHF Ch.16 (Call “BAHIA DEL SOL”) for tidal information and a swell report and to arrange a pilot boat. The radio is usually only manned between 0800 and 1800. It is best to e-mail the hotel in advance of your arrival to ensure availability of the pilot (gerente@bahiadelsolelsalvador.com).
This is an ideal port to safely leave your boat for an extended period of time. There are 2 mooring fields available with plenty of moorings. They each offer similar services.
There are good anchorages in the Bahia in 4 to 7m in sand/mud.
For boats at anchor or on moorings, the hotel offers a weekly charge for use of all its facilities. For US$14 a week cruisers can use the hotel swimming pool, dinghy dock, WiFi and get 30 % off all restaurant and bar bills. Personnel are reported to be very friendly.
Last updated January 2013.


Please select a date from the highlighted dates in the calendar to see a table with the predictions for the properties published on that day.
Currently it is limited to properties from the 23 wards of Tokyo as published by SUUMO.
Notes:
- Each date may take a few seconds to load the first time.
- Each date becomes available at around 21:00 JST (12:00 UTC).


Download Code
This code needs the installation of CasADi 3.4.5: https://web.casadi.org/get/
The objectives of this post are twofold, one is to introduce CasADi (with IpOpt) to simulate optimal control problem, and the other is to introduce the concept of the structural controllability, as an example, for the 2D heat equation.
Controllability of the 2D heat equation
In this post, we simulate structural controllability for the two-dimensional heat equation. First, we start with the finite difference scheme of the 2D Heat equation and the control on one boundary of the square domain $[0,1]^2$.
A similar problem has been treated in another DyCon Blog post using AMPL and IpOpt, which deals with the one-dimensional fractional heat equation under positivity constraints. Here we use CasADi and IpOpt in Matlab language.
We will consider the problem of steering the initial datum:
to the final target $(1.5 \cdot \bar z_{i,j}(T))$, where $\bar z_{i,j}(T)$ is a reference solution from $z^0_{i,j}$ without control.
Parameters for the problem:
N_size = 4; %% Space discretization for 1D
Nx = N_size^2; %% Space discretization for 2D
Nt = 20; %% Time discretization
T = 0.1; %% Final time
%% Discretization of the Space
xline_ = linspace(0,1,N_size+2);
[xmsf,ymsf] = meshgrid(xline_,xline_);
xline = xline_(2:end-1);
[xms,yms] = meshgrid(xline,xline);
dx = xline(2) - xline(1);
%% Initial data
Y0_2d = zeros(N_size);
for i=1:N_size
for j=1:N_size
Y0_2d(i,j) = sin(xline(i)*pi)*sin(xline(j)*pi);
end
end
Y0 = Y0_2d(:);
%% Definition of the dynamics : Y' = AY+BU
B = zeros(N_size^2,N_size); B(1:N_size,1:N_size) = eye(N_size); %% control for i=1,...,N_size.
A1_mat = ones(N_size,1);
A2_mat = spdiags([A1_mat -2*A1_mat A1_mat], [-1 0 1], N_size,N_size);
I_mat = speye(N_size);
A_mat = kron(I_mat,A2_mat)+kron(A2_mat,I_mat);
A = A_mat; %% A: Discrete Laplacian in 2D with uniform squared mesh
%% Discretization of the time : we need to check CFL condition to change 'Nt'.
tline = linspace(0,T,Nt+1); %%uniform time mesh
dt = tline(2)-tline(1);
The interactions between nodes (grid points) can be displayed as follows:
options_plot_graphs = {'LineWidth',2,'DisplayName','off','NodeColor','r','ArrowSize',9,'MarkerSize',7,'NodeLabel',{}};
p = plot(digraph(A),'XData',xms(:)','YData',yms(:)',options_plot_graphs{:});
hold on
plot(xms(:,1),yms(:,1),'b.','MarkerSize',30) %% Blue dots are controlled nodes
xlabel('x-axis')
ylabel('y-axis')
grid on
for i=1:N_size.^2
text(p.XData(i)+0.01, p.YData(i)+0.02, num2str(i), 'FontSize', 20);
end
Fig 1. The interaction network of 'A_mat'. The controlled nodes are colored blue.
Now we may simulate the reference trajectory without control.
%% Simulation of the uncontrolled trajectory
M = eye(Nx) - 0.5*dt/dx.^2*A;
L = eye(Nx) + 0.5*dt/dx.^2*A;
P = 0.5*dt*B;
Y = zeros(Nx,Nt+1);
Y(:,1) = Y0;
for k=1:Nt %% loop over time intervals
%% Crank-Nicolson method without control
Y(:,k+1) = M\L*Y(:,k);
end
YT = Y(:,Nt+1);
ratio = 1.5;
Y1 = ratio*YT; %% Target data
clf
Z = reshape(Y(:,1),N_size,N_size);
Z = [zeros(1,N_size+2) ; zeros(N_size,1), Z, zeros(N_size,1) ; zeros(1,N_size+2)];
isurf = surf(xmsf,ymsf,Z,'FaceAlpha',0.3);
isurf.CData = isurf.CData*0 + 10;
hold on
Z = reshape(Y(:,end),N_size,N_size);
Z = [zeros(1,N_size+2) ; zeros(N_size,1), Z, zeros(N_size,1) ; zeros(1,N_size+2)];
jsurf = surf(xmsf,ymsf,Z,'FaceAlpha',0.7);
jsurf.CData = jsurf.CData*0 + 1;
jsurf.Parent.Color = 'none';
lightangle(10,10)
legend({'Initial Condition','Final Data'})
Fig 2. The initial condition and the final data of uncontrolled dynamics.
Optimization problem
From now on, we use CasADi to consider an exact control problem.
opti = casadi.Opti(); %% CasADi function
%% ---- Input variables ---------
X = opti.variable(Nx,Nt+1); %% state trajectory
U = opti.variable(N_size,Nt+1); %% control
%% ---- Dynamic constraints --------
for k=1:Nt %% loop over control intervals
%% Crank-Nicolson method : this helps us to boost the optimization
opti.subject_to(M*X(:,k+1)== L*X(:,k) + 0.5*P*(U(:,k)+U(:,k+1)));
end
%% ---- State constraints --------
opti.subject_to(X(:,1)==Y0);
opti.subject_to(X(:,Nt+1)==Y1);
%% ---- Optimization objective ----------
Cost = (dx*sum(sum(U.^2))*(T/Nt));
opti.minimize(Cost); %% minimizing L2 over time
%% ---- initial guesses for solver ---
opti.set_initial(X, Y);
opti.set_initial(U, 0);
%% ---- solve NLP ------
p_opts = struct('expand',true);
s_opts = struct('max_iter',10000); %% iteration limitation
opti.solver('ipopt',p_opts,s_opts); %% set numerical backend
tic
sol = opti.solve(); %% actual solve
toc
This is Ipopt version 3.12.3, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).
Number of nonzeros in equality constraint Jacobian...: 2752
Number of nonzeros in inequality constraint Jacobian.: 0
Number of nonzeros in Lagrangian Hessian.............: 84
Total number of variables............................: 420
variables with only lower bounds: 0
variables with lower and upper bounds: 0
variables with only upper bounds: 0
Total number of equality constraints.................: 352
Total number of inequality constraints...............: 0
inequality constraints with only lower bounds: 0
inequality constraints with lower and upper bounds: 0
inequality constraints with only upper bounds: 0
iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls
0 0.0000000e+00 6.69e-02 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0
1 1.6511358e+02 6.66e-16 7.31e-07 -2.5 8.68e+01 - 1.00e+00 1.00e+00h 1
2 1.6511358e+02 6.66e-16 2.39e-12 -8.6 5.47e-09 - 1.00e+00 1.00e+00h 1
Number of Iterations....: 2
(scaled) (unscaled)
Objective...............: 1.6511358437684962e+02 1.6511358437684962e+02
Dual infeasibility......: 2.3874235921539366e-12 2.3874235921539366e-12
Constraint violation....: 6.6613381477509392e-16 6.6613381477509392e-16
Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00
Overall NLP error.......: 4.0210221040688533e-13 2.3874235921539366e-12
Number of objective function evaluations = 3
Number of objective gradient evaluations = 3
Number of equality constraint evaluations = 3
Number of inequality constraint evaluations = 0
Number of equality constraint Jacobian evaluations = 3
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations = 2
Total CPU secs in IPOPT (w/o function evaluations) = 0.822
Total CPU secs in NLP function evaluations = 0.000
EXIT: Optimal Solution Found.
t_proc [s] t_wall [s] n_eval
nlp_f 1.9e-05 1.9e-05 3
nlp_g 0.000103 0.000105 3
nlp_grad_f 3.7e-05 3.4e-05 4
nlp_hess_l 1.4e-05 1.3e-05 2
nlp_jac_g 0.000185 0.000195 4
solver 1.09 0.676 1
Elapsed time is 0.757156 seconds.
Post-processing
Sol_x = sol.value(X); %% solved controlled trajectory
Sol_u = sol.value(U); %% solved control function
clf
Z = zeros(N_size+2,N_size+2);
Z(2:end-1,2:end-1) = reshape(Sol_x(:,end),N_size,N_size);
isurf = surf(xmsf,ymsf,Z,'FaceAlpha',0.3);
isurf.CData = isurf.CData*0 + 10;
hold on
Z = zeros(N_size+2,N_size+2);
Z(2:end-1,2:end-1) = reshape(Y(:,end),N_size,N_size);
jsurf = surf(xmsf,ymsf,Z,'FaceAlpha',0.7);
jsurf.CData = jsurf.CData*0 + 1;
Z = zeros(N_size+2,N_size+2);
Z(2:end-1,2:end-1) = ratio*reshape(Y(:,end),N_size,N_size);
plot3(xmsf,ymsf,Z,'k*')
jsurf.Parent.Color = 'none';
lightangle(10,10)
legend({'Controlled final data','Uncontrolled final data','Target'})
Fig 3. The final data of controlled and uncontrolled dynamics. The controlled data coinside with the target points.
%% Free and controlled dynamics in animation
Result_ref = zeros(N_size+2,N_size+2,Nt+1); %% displaying variable
Result_ref(2:end-1,2:end-1,:) = reshape(Y(:,:),[N_size,N_size,Nt+1]);
Result_con2d = zeros(N_size+2,N_size+2,Nt+1); %% displaying variable
Result_con2d(2:end-1,2:end-1,:) = reshape(Sol_x(:,:),[N_size,N_size,Nt+1]);
%% Free dynamics
fig = figure;
isurf2= surf(ratio*Result_ref(:,:,end),'FaceAlpha',0.3);
isurf2.CData = isurf2.CData*0 + 1;
hold on
isurf = surf(Result_ref(:,:,1),'FaceAlpha',0.7);
isurf.CData = isurf.CData*0 + 10;
title('Free dynamics')
legend('Target','Solution')
zlim([-0.5 1.5])
pause;
for it = 1:Nt+1
isurf.ZData = Result_ref(:,:,it);
pause(0.1)
end
%% Controlled dynamics
clf
fig = figure;
isurf2= surf(ratio*Result_ref(:,:,end),'FaceAlpha',0.3);
isurf2.CData = isurf2.CData*0 + 1;
hold on
isurf = surf(Result_con2d(:,:,1),'FaceAlpha',0.7);
isurf.CData = isurf.CData*0 + 10;
title('Controlled dynamics')
legend('Target','Solution')
zlim([-0.5 1.5])
pause;
for it = 1:Nt+1
isurf.ZData = Result_con2d(:,:,it);
pause(0.1)
end
Fig 4-5. Animations for the free and controlled dynamics. The target surface is also drawn in both dynamics, where free dynamics goes below than the target.
Structural controllability of the 2D heat equation
For the second part, we simulate another linear system to check the structural controllability of the 2D heat equation. It is known that its interacting network is structurally controllable by one sole node.
The following matrix ‘AS_mat’ links the nodes in a line, for example, 1-2-3-6-5-4-7-8-9 for $N=3$, which is a part of interactions in ‘A_mat’:
AC_mat = diag(ones(N_size-1,1),-1);
for j=1:2:N_size-2
AC_mat = blkdiag(AC_mat,diag(ones(N_size-1,1),1));
AC_mat(end,end-N_size)=1;
if N_size==2
break
end
AC_mat = blkdiag(AC_mat,diag(ones(N_size-1,1),-1));
AC_mat(end-N_size+1,end-2*N_size+1)=1;
end
if length(AC_mat) < (N_size.^2)
AC_mat = blkdiag(AC_mat,diag(ones(N_size-1,1),1));
AC_mat(end,end-N_size)=1;
end
AS_mat = (AC_mat + AC_mat') - 2*eye(Nx);
options_plot_graphs = {'LineWidth',2,'DisplayName','off','NodeColor','r','ArrowSize',9,'MarkerSize',7,'NodeLabel',{}};
p = plot(digraph(AS_mat),'XData',xms(:)','YData',yms(:)',options_plot_graphs{:});
xlabel('x-axis');ylabel('y-axis')
hold on
plot(xms(1,1),yms(1,1),'b.','MarkerSize',30) %% Blue dots are controlled nodes
for i=1:N_size.^2
text(p.XData(i)+0.01, p.YData(i)+0.02, num2str(i), 'FontSize', 20);
end
title('Network')
grid on
Fig 6. The interaction network of the new matrix 'AS_mat'. The controlled nodes are colored blue.
Since the 1D heat equation is controllable, ‘AS_mat’ is controllable by one node. However, it gets more and more difficult as the number of nodes increases, since it has different scale with the standard 1D heat equation. The length of the 1D domain grows as $N$ since it eventually become space filling curve in $[0,1]^2$.
Note also that ‘AS_mat’ has the nonzero elements in the positions that ‘A_mat’ has. By deleting several interactions of ‘A_mat’, ‘AS_mat’ is now exactly controllable with smaller controlled nodes. This is the idea of the structural controllability in the network system, called ‘network control’.
B = zeros(N_size^2,1); B(1) = 1;
A = N_size.^2*AS_mat;
%% Y' = AY + BU
T = 0.1;
Nt = 30;
tline = linspace(0,T,Nt+1); %%uniform time mesh
dt = tline(2)-tline(1);
%% Simulation of the uncontrolled trajectory
M = eye(Nx) - 0.5*dt/dx.^2*A;
L = eye(Nx) + 0.5*dt/dx.^2*A;
P = 0.5*dt*B;
Y = zeros(Nx,Nt+1);
Y(:,1) = Y0;
for k=1:Nt %% loop over time intervals
%% Crank-Nicolson method without control
Y(:,k+1) = M\L*Y(:,k);
end
YT = Y(:,Nt+1);
Y1 = ratio*YT;
Optimization problem in CasADi
opti = casadi.Opti(); %% CasADi function
%% ---- Input variables ---------
X = opti.variable(Nx,Nt+1); %% state trajectory
U = opti.variable(1,Nt+1); %% control
%% ---- Dynamic constraints --------
for k=1:Nt %% loop over control intervals
%% Crank-Nicolson method
opti.subject_to(M*X(:,k+1)== L*X(:,k) + P*(U(:,k)+U(:,k+1)));
end
%% ---- State constraints --------
opti.subject_to(X(:,1)==Y0);
opti.subject_to(X(:,Nt+1)==Y1);
%% ---- Optimization objective ----------
Cost = (sum(U.^2)*(T/Nt)); %%1e3*dx^2*sum(sum((X(:,Nt+1)-Y1).^2))+;
opti.minimize(Cost); %% minimizing L2 at the final time
%% ---- Initial guess ----
opti.set_initial(X, Y);
opti.set_initial(U, 0);
%% ---- solve NLP ------
p_opts = struct('expand',true);
s_opts = struct('max_iter',1e5); %% cut down the algorithm at the 1000-th iteration.
opti.solver('ipopt',p_opts,s_opts); %% set numerical backend
tic
sol = opti.solve(); %% actual solve
toc
This is Ipopt version 3.12.3, running with linear solver mumps.
NOTE: Other linear solvers might be more efficient (see Ipopt documentation).
Number of nonzeros in equality constraint Jacobian...: 2852
Number of nonzeros in inequality constraint Jacobian.: 0
Number of nonzeros in Lagrangian Hessian.............: 31
Total number of variables............................: 527
variables with only lower bounds: 0
variables with lower and upper bounds: 0
variables with only upper bounds: 0
Total number of equality constraints.................: 512
Total number of inequality constraints...............: 0
inequality constraints with only lower bounds: 0
inequality constraints with lower and upper bounds: 0
inequality constraints with only upper bounds: 0
iter objective inf_pr inf_du lg(mu) ||d|| lg(rg) alpha_du alpha_pr ls
0 0.0000000e+00 1.04e-01 0.00e+00 -1.0 0.00e+00 - 0.00e+00 0.00e+00 0
1 2.9522421e+04 1.33e-15 6.25e-02 -2.5 1.08e+03 - 1.00e+00 1.00e+00h 1
Number of Iterations....: 1
(scaled) (unscaled)
Objective...............: 2.9522420557910038e+04 2.9522420557910038e+04
Dual infeasibility......: 6.2500000000000000e-02 6.2500000000000000e-02
Constraint violation....: 1.3322676295501878e-15 1.3322676295501878e-15
Complementarity.........: 0.0000000000000000e+00 0.0000000000000000e+00
Overall NLP error.......: 1.4002321948103652e-12 6.2500000000000000e-02
Number of objective function evaluations = 2
Number of objective gradient evaluations = 2
Number of equality constraint evaluations = 2
Number of inequality constraint evaluations = 0
Number of equality constraint Jacobian evaluations = 2
Number of inequality constraint Jacobian evaluations = 0
Number of Lagrangian Hessian evaluations = 1
Total CPU secs in IPOPT (w/o function evaluations) = 0.516
Total CPU secs in NLP function evaluations = 0.000
EXIT: Optimal Solution Found.
t_proc [s] t_wall [s] n_eval
nlp_f 6.2e-05 1.4e-05 2
nlp_g 0.000212 0.0001 2
nlp_grad_f 4.3e-05 2.9e-05 3
nlp_hess_l 3.2e-05 3.3e-05 1
nlp_jac_g 0.000147 0.000148 3
solver 0.668 0.573 1
Elapsed time is 0.638270 seconds.
Post-processing
Sol_x = sol.value(X); %% solved controlled trajectory
Sol_u = sol.value(U); %% solved control
%%Sol_x = opti.debug.value(X);
%%Sol_u = opti.debug.value(U); %% final data if algorithm stops with error
%%
clf
Z = zeros(N_size+2,N_size+2);
Z(2:end-1,2:end-1) = reshape(Sol_x(:,end),N_size,N_size);
isurf = surf(xmsf,ymsf,Z,'FaceAlpha',0.3);
isurf.CData = isurf.CData*0 + 10;
hold on
Z = zeros(N_size+2,N_size+2);
Z(2:end-1,2:end-1) = reshape(Y(:,end),N_size,N_size);
jsurf = surf(xmsf,ymsf,Z,'FaceAlpha',0.7);
jsurf.CData = jsurf.CData*0 + 1;
Z = zeros(N_size+2,N_size+2);
Z(2:end-1,2:end-1) = ratio*reshape(Y(:,end),N_size,N_size);
plot3(xmsf,ymsf,Z,'k*')
jsurf.Parent.Color = 'none';
lightangle(10,10)
legend({'Controlled final data','Uncontrolled final data','Target'})
Fig 7. The initial condition and the final data of uncontrolled dynamics. It has a different structure compared to Fig 2.
%% Free and controlled dynamics in animation
Result_ref = zeros(N_size+2,N_size+2,Nt+1); %% displaying variable
Result_ref(2:end-1,2:end-1,:) = reshape(Y(:,:),[N_size,N_size,Nt+1]);
Result_con2d = zeros(N_size+2,N_size+2,Nt+1); %% displaying variable
Result_con2d(2:end-1,2:end-1,:) = reshape(Sol_x(:,:),[N_size,N_size,Nt+1]);
fig = figure;
isurf2= surf(ratio*Result_ref(:,:,end),'FaceAlpha',0.3);
isurf2.CData = isurf2.CData*0 + 1;
hold on
isurf = surf(Result_ref(:,:,1),'FaceAlpha',0.7);
isurf.CData = isurf.CData*0 + 10;
title('Free dynamics')
legend('Target','Solution')
zlim([-0.5 1.5])
pause;
for it = 1:Nt+1
isurf.ZData = Result_ref(:,:,it);
pause(0.1)
end
%%
clf
fig = figure;
isurf2= surf(ratio*Result_ref(:,:,end),'FaceAlpha',0.3);
isurf2.CData = isurf2.CData*0 + 1;
hold on
isurf = surf(Result_con2d(:,:,1),'FaceAlpha',0.7);
isurf.CData = isurf.CData*0 + 10;
title('Controlled dynamics')
legend('Target','Solution')
zlim([-0.5 1.5])
pause;
for it = 1:Nt+1
isurf.ZData = Result_con2d(:,:,it);
pause(0.1)
end
Fig 8-9. Animations for the free and controlled dynamics. The target surface is also drawn in both dynamics, where free dynamics goes below than the target.


CS 498 Data Visualization- Final Project
Data source: Countries of the world data
July 2018
Vipul Aggarwal<EMAIL_ADDRESS>Please MAXIMIZE the browser to optimize the view of slides, charts and tooltips. Text alignment may not work with IE explorer. Use Chrome for recommendation.
This visualization uses the Interactive Slideshow to tell the story of
Regions of the World. It tells some stats about primary geographical regions and then dives into some details for regions in Europe.
Visualizations are built with various annotations, parameters and some triggers.
There are multiple slides, including a few charts in this presentation.
Each slide can be navigated through guiding arrows in the right bottom corner. At any point, press ESC key to see and overview of all slides.
Main parameter of each chart is "region". Each chart is separate and deals with a few other parameters like net migration, GDB, Literacy rate and contribution of various economic sectors.
Some charts have triggers. Like: Zoom in scatter plot.
Charts include legends, tool tips and labels for hinting.


This repository supports contribution using gitpod which is online IDE using Theia.
To open-up the environment simple natigate on https://gitpod.io/#https://github.com/rstacruz/cheatsheets
To preview the website you need to first build it then you can navigate to file that you are trying to contribute and preview directly.
This starts Jekyll and Parcel. This requires recent versions of Node.js, Yarn, Ruby and Bundler installed.
You can also run a local instance using Docker. This is the preferred method, especially for Windows. You only need to install Docker (macOS, Windows, Ubuntu, Arch Linux, other).
First time setup:
# Build images (takes ~12mins)
docker-compose build
# First-time setup
docker-compose run --rm web bundle install && docker-compose run --rm web yarn install
Starting the server:
See https://devhints.io/cheatsheet-styles for a reference on styling.
When updating JavaScript, be sure Parcel is running (yarn dev
takes care of this).
This auto-updates /assets/packed/
and _includes/2017/critical/
with sources in _parcel/
.
Before committing, run yarn parcel:build
first.
There are also automated tests:
yarn run test --watch
Each sheet supports these metadata:
---
title: React.js
layout: 2017/sheet # 'default' | '2017/sheet'
# Optional:
category: React
updated: 2020-06-14
ads: false # Add this to disable ads
weight: -5 # lower number = higher in related posts list
deprecated: true # Don't show in related posts
deprecated_by: /enzyme # Point to latest version
prism_languages: [vim] # Extra syntax highlighting
intro: |
This is some *Markdown* at the beginning of the article.
tags:
- WIP
- Featured
# Special pages:
# (don't set these for cheatsheets)
type: home # home | article | error
og_type: website # opengraph type
---
For supported prism languages:
This example sets up a redirect from es2015
to es6
:
See _data/content.yml
for chrome strings.
So you want to fork this repo? Sure, here’s what you need to know to whitelabel this:
gh-pages
._data/
- this holds all ‘config’ for the site: ad IDs, strings, etc._config.yml
as well, lots of things may not apply to you.The site devhints.io is backed by CloudFlare. Updates will take 2 days to propagate to the website by default. To make sure recent changes will propagate, use this helper script. It will give instructions on how manual selective cache purging can be done.
There are multiple ways to set meta description.
Set keywords
(and optionally intro
). This is the easiest and the preferred way for now.
React cheatsheet - devhints.io
------------------------------
https://devhints.io/react ▼
React.Component · render() · componentDidMount() · props/state · React is a
JavaScript library for building web...
Set description
(and optionally intro
)
React cheatsheet - devhints.io
------------------------------
https://devhints.io/react ▼
One-page reference to React and its API. React is a JavaScript library for
building web user interfaces...
If you left out description
or keywords
, a default description will be added.


About Me
I’m a Full Stack Web Developer living in Redondo Beach, located in the Greater Los Angeles Area. I earned my Bachelor of
Science degree in Food Science from Cal Poly, San Luis Obispo. I transitioned into tech upon completing
my Full Stack Web Development certificate from UCLA in May, 2018. I have particular interests in Front
End Development, Web Design, and Product Management.
I studied Food Science so I could combine science and creativity in product development. As the Research and Development
Manager for a large snack foods company, I took products from ideation to completion. Constant communication
was required with other departments as well as the client. This involved ingredient procurement, kitchen
testing, consumer testing, scaling up to production, and finishing with product launches.
My background has cultivated my comprehensive approach to problem solving and provided me with an aptitude for understanding
the needs and requirements of clients. I am currently pursuing additional education to enhance my value
in the tech world.


--- layout: default category: 'explore' ---
Explore the data!!!
Here's a pivot table!
Here's a visualization!


6
Scan a Log File...
Scan for Specific Flaws
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As we shall see, introducing assignment into our programming language leads us into a thicket of difficult conceptual issues. Nevertheless, viewing systems as collections of objects with local state is a powerful technique for maintaining a modular design. As a simple example, consider the design of a function rand that, whenever it is called, returns an integer chosen at random.
It is not at all clear what is meant by chosen at random.
What we
presumably want is for successive calls to rand to produce a
sequence of numbers that has statistical properties of uniform
distribution. We will not discuss methods for generating suitable
sequences here. Rather, let us assume that we have a
function
rand_update
that has the property that if we start with a given
number x_1 and form
x_2 = rand_update(x_1); x_3 = rand_update(x_2);
We can implement rand as a function with a local state variable x that is initialized to some fixed value random_init. Each call to rand computes rand_update of the current value of x, returns this as the random number, and also stores this as the new value of x.
Of course, we could generate the same sequence of random numbers without using assignment by simply calling rand_update directly. However, this would mean that any part of our program that used random numbers would have to explicitly remember the current value of x to be passed as an argument to rand_update. To realize what an annoyance this would be, consider using random numbers to implement a technique called Monte Carlo simulation.
The Monte Carlo method consists of choosing sample experiments at random from a large set and then making deductions on the basis of the probabilities estimated from tabulating the results of those experiments. For example, we can approximate $\pi$ using the fact that $6/\pi^2$ is the probability that two integers chosen at random will have no factors in common; that is, that their greatest common divisor will be 1.[2] To obtain the approximation to $\pi$, we perform a large number of experiments. In each experiment we choose two integers at random and perform a test to see if their GCD is 1. The fraction of times that the test is passed gives us our estimate of $6/\pi^2$, and from this we obtain our approximation to $\pi$.
The heart of our program is a function monte_carlo, which takes as arguments the number of times to try an experiment, together with the experiment, represented as a no-argument function that will return either true or false each time it is run. monte_carlo runs the experiment for the designated number of trials and returns a number telling the fraction of the trials in which the experiment was found to be true.
Now let us try the same computation using rand_update directly rather than rand, the way we would be forced to proceed if we did not use assignment to model local state:
While the program is still simple, it betrays some painful breaches of modularity. In our first version of the program, using rand, we can express the Monte Carlo method directly as a general monte_carlo function that takes as an argument an arbitrary experiment function. In our second version of the program, with no local state for the random-number generator, random_gcd_test must explicitly manipulate the random numbers x1 and x2 and recycle x2 through the iterative loop as the new input to rand_update. This explicit handling of the random numbers intertwines the structure of accumulating test results with the fact that our particular experiment uses two random numbers, whereas other Monte Carlo experiments might use one random number or three. Even the top-level function estimate_pi has to be concerned with supplying an initial random number. The fact that the random-number generator's insides are leaking out into other parts of the program makes it difficult for us to isolate the Monte Carlo idea so that it can be applied to other tasks. In the first version of the program, assignment encapsulates the state of the random-number generator within the rand function, so that the details of random-number generation remain independent of the rest of the program.
The general phenomenon illustrated by the Monte Carlo example is this: From the point of view of one part of a complex process, the other parts appear to change with time. They have hidden time-varying local state. If we wish to write computer programs whose structure reflects this decomposition, we make computational objects (such as bank accounts and random-number generators) whose behavior changes with time. We model state with local state variables, and we model the changes of state with assignments to those variables.
It is tempting to conclude this discussion by saying that, by introducing assignment and the technique of hiding state in local variables, we are able to structure systems in a more modular fashion than if all state had to be manipulated explicitly, by passing additional parameters. Unfortunately, as we shall see, the story is not so simple.
function random_in_range(low, high) { const range = high - low; return low + random(range); }
{ state = new_state; }; \end{JavaScriptClickable} \end{lrbox} \begin{JavaScriptClickable} /*!\href{https://sourceacademy.nus.edu.sg/playground#chap=3&prgrm=DYUwLgBAzmCGYggXggJgNwChMDMCuAdgMZgCWA9gRAE6wEAmAFFAJ4C2ARucAJQQDemCMIikcEZuy7BkSFACJqIKOHl9BIzTXB5qVAiADuAfRjxESAHwChWu2YTIIBkw5BY7wgL4eRXiCDAKjaeEAD0YdBS3KJQEPIA5iAGtAjytvZwjijMWYgAVBAAjAAMpXwApMWlRb52SmC6VG51EP6YXtj0pFAADsCwLIy0DIyJySCpIGo8WN19A0MjTOMp5jNzPf2Dw3QrSWtpPLPYERAAKgAWPdCX5HjA9BDz2ywQAJxF7wA0EAAsAHZfkVUADsMsxkoVGA1IxUCdMGcAMp5WLaaEQMDkNAQWAJWCkAhdLaLXajVaTdbHTYLHYQilTDaYF6k+kHSlHBFnABCICIsDwwUJpDIsBkbjRYEuiCgsDYIF+nx+-yBxVBaJZgxATzxBIIQA}{\usebox\lstbox}!*/ } else { // symbol is "generate" state = (state * 1010) % 1101; return state; } } \end{JavaScriptClickable}
random,if by
randomwe insist that each number in the sequence is unrelated to the preceding number. The relation between
real randomnessand so-called pseudo-random sequences, which are produced by well-determined computations and yet have suitable statistical properties, is a complex question involving difficult issues in mathematics and philosophy. Kolmogorov, Solomonoff, and Chaitin have made great progress in clarifying these issues; a discussion can be found in


December 25, 2022 Orbtrace-mini I first learned about the orbtrace-mini on Hackaday. Upon reading that article, I immediately sent... Read More


|
|
If any of the task spots in your Shticker Book are blank, itís time to get a
new ToonTask. Just walk up to an officer in any Toon HQ building, or visit one of the shops in
Toontownís streets.
Toon Tip: If you donít like the tasks you see at first, try talking to a different HQ
Officers, or try visiting a different shop or HQ building. You might find something you like
better!
|
|
Helping other Toons helps you too. Helping a friend finish one of their ToonTasks is a good way
to make sure your friends will be there to help you with your toughest ToonTasks when you need
them the most!
|
| Your progress in the game doesnít stop when youíre helping another Toon with
their tasks. Remember that even if the Cogs youíre battling donít count for your ToonTasks, youíre
still earning gag skill points and filling your Cog Gallery. Most importantly, youíre helping a
friend in need! |
|
| When you see one of your ToonTasks is complete, just follow the instructions at
the bottom to turn it in and get your reward and restock your Laff meter. Donít forget to get a new
task while youíre at it! |
|


Martin Luther King Jr.
Martin Luther King Jr. (born Michael King Jr.; January 15, 1929 – April 4, 1968) was an American Baptist minister and activist who became the most visible spokesperson and leader in the Civil Rights Movement from 1955 until his assassination in 1968. King is best known for advancing civil rights through nonviolence and civil disobedience, inspired by his Christian beliefs and the nonviolent activism of Mahatma Gandhi. He was the son of early civil rights activist Martin Luther King, Sr.. King participated in and led marches for blacks' right to vote, desegregation, labor rights, and other basic civil rights.[1] King led the 1955 Montgomery bus boycott and later became the first president of the Southern Christian Leadership Conference (SCLC). As president of the SCLC, he led the unsuccessful Albany Movement in Albany, Georgia, and helped organize some of the nonviolent 1963 protests in Birmingham, Alabama. King helped organize the 1963 March on Washington, where he delivered his famous "I Have a Dream" speech on the steps of the Lincoln Memorial.
Read more


| [2] | Prabin Rokaya, Luis Morales-Marin, and Karl-Erich Lindenschmidt. Towards improved real-time forecasting of river ice breakup. In Proceedings of the 20th Workshop on the Hydraulics of Ice Covered Rivers, 2018. |
| [1] | Karl-Erich Lindenschmidt, Eric Akomeah, Helen Baulch, Lisa Boyer, John-Mark Davies, Elmira Hassanzadeh, Luis Morales Marin, Graham Strickert, and Michelle Wauchope. Interfacing stakeholder involvement into a surface water-quality modelling system for water management and policy development. In International Conference on Urban Drainage Modelling, pages 312--316. Springer, 2018. |
This file was generated by bibtex2html 1.98.


|
River Phoenix
|
| 23 Aug 1970 | River Jude Bottom born 12:03pm to John Bottom and Arlyn Dunetz, Madras, OR. |
| 31 Mar 1973 | Sister, Rain Joan of Arc born, Crockett TX. |
| 28 Oct 1974 | Brother, Joaquin Rafael (sometimes known as Leaf) born, Puerto Rico. |
| 2 Apr 1979 | Family surname changed to Phoenix. |
| 12 Jul 1985 | Explorers. |
| 12 Sep 1991 | My Own Private Idaho, directed by Gus van Sant. |
| 31 Oct 1993 | River Phoenix dies of a drug overdose outside the Viper Room. |


WEEK ONE
This is our first lesson
WEEK THREE
By using this machine, we can print whatever we want based on the computer.
A 3D scanner can scan everyone's body, and a 3D printer can print all of our body
A Shanghaino is just a pad shaped like the map of Shanghai, with some electronic components.
After connecting the plug with the cell, the LEDs on the pad are lighted.
Click here to find out more


Preparation time
less than 30 mins
Cooking time
less than 10 mins
Serves
Serves 4
This posh seasonal starter wouldn't look out of place in an upmarket restaurant, so it will certainly wow at home.
For the toast, preheat the grill to a medium setting.
Grill the sourdough slices for 1-2 minutes. Turn over and drizzle with olive oil. Sprinkle over the crushed juniper berries. Toast for 2 minutes or until golden-brown. Keep warm.
For the dressing, blend all of the dressing ingredients to a smooth purée in a food processor. Set aside until needed.
For the remoulade, peel the celeriac and cut the flesh into thin strips, sprinkling the strips with salt as you go to prevent it from discolouring and to absorb any moisture. Set aside for 3 minutes.
Wash the julienned celeriac under a cold running tap, then drain. Transfer to a large mixing bowl. Stir in the mustard and crème fraîche until well combined. Chill in the fridge until needed.
For the venison tartare, in a bowl, mix together the diced venison, shallot, parsley and cornichons. Pour over the dressing and mix until well combined, Season, to taste, with salt and freshly ground black pepper, then mix again.
To serve, place one ring mould onto each of 4 serving plates. Divide the venison tartare equally among the ring moulds, pressing the meat down into the sides of the mould. Twist a helping of the celeriac remoulade around a fork and place it alongside the venison. Add a slice or two of toast and top each venison tartare with a half eggshell containing a quail egg yolk. Finally, garnish each plate with the chestnut slices.


Save the date
for
PATRICK HAMANN & GEMMA POIGNAND
ST BERLADE
,
JERSEY
, UK
18th JULY 2015!
formal invitation to follow


Markdown¶
Markdown is a lightweight markup language with a simplistic plain text formatting syntax. It exists in many syntactically different flavors. To support Markdown-based documentation, Sphinx can use recommonmark. recommonmark is a Docutils bridge to CommonMark-py, a Python package for parsing the CommonMark Markdown flavor.
Configuration¶
To configure your Sphinx project for Markdown support, proceed as follows:
Install the Markdown parser recommonmark:
pip install --upgrade recommonmark
Note
The configuration as explained here requires recommonmark version 0.5.0 or later.
Add recommonmark to the :confval:`list of configured extensions <extensions>`:
extensions = ['recommonmark']
Changed in version 1.8: Version 1.8 deprecates and version 3.0 removes the
source_parsers
configuration variable that was used by older recommonmark versions.If you want to use Markdown files with extensions other than
.md
, adjust the :confval:`source_suffix` variable. The following example configures Sphinx to parse all files with the extensions.md
and.txt
as Markdown:source_suffix = { '.rst': 'restructuredtext', '.txt': 'markdown', '.md': 'markdown', }
You can further configure recommonmark to allow custom syntax that standard CommonMark doesn’t support. Read more in the recommonmark documentation.


My personal life is very simple. I always have the desire that Allah be pleased with me wherever I am in the state.  My contribution to this kind of thinking is that he is my favorite master. Whose name is "Hazrat Mawlan Shah Abdul Matin Saheb (DB)."
I have two brothers and one sister. My home district is Rajshahi. My father is a service holder and my mother is a housewife. I married. I have a boy. Whose name is "Mohammed Affan". I live in Dhaka.
I am a job holder. My company name is "MICRO FIBRE GROUP". Garments is the main business of our company. Here I joined as an IT officer.
© All Rights is Reserved;


春雨や ものがたりゆ 蓑と傘
Harusame ya/ Monogatari-yuku/ Mino to kasa
The spring rain.
Talking and passing
Place of birth


The most effective debugging tool is still careful thought, coupled with judiciously placed print statements.
-- Brian Kernighan, "Unix for Beginners" (1979)
It's very often the case that when a Bluemix app doesn't work the way you expect it to, you don't have any idea WHY it doesn't work the way you expect it to. How can you diagnose this? With logging.
This article will discuss how to access your logs in Bluemix, discuss some general logging techniques, and then go in depth on some logging frameworks/libraries specific to node.js. If you aren't using node.js, have no fear that your language runtime provides multiple, elaborate logging frameworks and libraries - they all do - find them and use them!
The section on node.js logging refers to a GitHub repository IBM-Bluemix/loggy-node, which contains an application you can deploy on Bluemix that demonstrates some logging techniques. You can clone that repo and deploy on Bluemix.
cf logs
For more information on the basics of accessing your logs with cf logs
, refer
to my colleague Ryan Baxter's great article on
"Accessing Application Logs In Bluemix". No need to repeat
that info here.
A couple additional notes on the subject of cf logs
:
Make sure you're running the latest version of the cf
command line tool;
it is updated fairly frequently. And the logging componentry in Cloud Foundry
(and thus Bluemix), and in the cf
tool, has also been updated a bit over
the last few months.
The latest releases can always be found at
https://github.com/cloudfoundry/cli/releases. You can check which version
you currently have installed, by running cf --version
The general pattern for lines from cf logs
is as follows, with a column number
legend above it.
1 2 3 4 5
12345678901234567890123456789012345678901234567890
-----------------------------------------------------------
2015-03-05T09:20:00.17-0500 [App/0] OUT <message here>
You can partition the message into 4 pieces - timestamp, component that generated the message, stream the message was written to, and the message itself.
In the message above, the component that generated the message was your
application (eg, [App/<instance #>]
), and the message was written to
stdout.
There's a lot of stuff there; you might want to cut some of it out. You can
do that by filtering the output with a unix cut
command. Here's a script
that lets you do some customization yourself, with "fields" named as shell
variables:
You'll also end up seeing [RTR/nnn]
messages in your logs, which are basically
the same kind of thing you'd see from a web server log. Often these aren't
useful, and ... THEY ARE VERY LOOOOOOOONG.
You can elide them with grep
, as this script does:
Putting that all together, you might want to run cf logs
using this command
instead:
cf logs [app-name] | cf-log-no-rtr | cf-log-cut
With these techniques, you can go from this:
2015-03-05T14:42:54.46-0500 [RTR/0] OUT [host].mybluemix.net - [05/03/2015:19:42:54 +0000] "GET / HTTP/1.1" 304 0 "-" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.74 Safari/537.36" <IP_ADDRESS>:15114 x_forwarded_for:"-" vcap_request_id:9a0cf781-ca3b-43c1-6f36-b6e8f4414984 response_time:0.008147682 app_id:[app-id]
2015-03-05T14:43:14.60-0500 [API/8] OUT Updated app with guid [app-id] ({"state"=>"STARTED"})
2015-03-05T14:43:14.62-0500 [DEA/14] OUT Starting app instance (index 0) with guid [app-id]
2015-03-05T14:43:14.84-0500 [DEA/126] OUT Stopping app instance (index 0) with guid [app-id]
2015-03-05T14:43:14.84-0500 [DEA/126] OUT Stopped app instance (index 0) with guid [app-id]
2015-03-05T14:43:32.77-0500 [App/0] OUT loggy:init: enabling alternate stack trace
2015-03-05T14:43:32.79-0500 [App/0] OUT loggy:init: setting up routes for APIs
2015-03-05T14:43:32.79-0500 [App/0] OUT loggy:server: starting on: https://[host].mybluemix.net
2015-03-05T14:43:32.80-0500 [App/0] OUT loggy:server: started on: https://[host].mybluemix.net
2015-03-05T14:44:10.49-0500 [RTR/0] OUT [host].mybluemix.net - [05/03/2015:19:44:10 +0000] "GET / HTTP/1.1" 304 0 "-" "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2272.74 Safari/537.36" <IP_ADDRESS>:54721 x_forwarded_for:"-" vcap_request_id:44c7efdf-9a88-451c-4308-cd6bb03af666 response_time:0.005201182 app_id:[app-id]
to this:
14:43:14 Updated app with guid [app-id] ({"state"=>"STARTED"})
14:43:14 Starting app instance (index 0) with guid [app-id]
14:43:14 Stopping app instance (index 0) with guid [app-id]
14:43:14 Stopped app instance (index 0) with guid [app-id]
14:43:32 loggy:init: enabling alternate stack trace
14:43:32 loggy:init: setting up routes for APIs
14:43:32 loggy:server: starting on: https://[host].mybluemix.net
14:43:32 loggy:server: started on: https://[host].mybluemix.net
Again, Ryan Baxter's great article on "Accessing Application Logs In Bluemix" provides all the info you'll need to hook up a 3rd party logging service to collect your app's logs.
find a logging framework / library that works for you
There are many for all the programming runtime environments out there. Google "logging" and your language name, then START READING AND EXPERIMENTING. You can probably find something off-the-shelf that suits your application, but if not, you can always write a simple one yourself. Just always seems that those "simple" ones become complex, at which point you should have used some nice off-the-shelf component.
errors often occur during initialization
So, add lots of logging during initialization. Initialization only happens once in your app - well, once per each app instance started. But, that's not often, so GO CRAZY.
log conditions at process termination, if possible
Many programming language runtimes provide a way to get a "hook" to process termination, so you can clean up after yourself, log some messages, etc. TAKE ADVANTAGE OF THIS. Below, I'll show using the hooks in node.js to adding some logging when your process ends (usually).
console.log()
& family
The printf()
of the node.js world. But there's more! Check out
the console docs for all the capabilities.
the debug
package
The debug package provides some really nice looking output, when you run it from a terminal. It's also pretty easy to use, and allows you to determine which debug loggers should print via an environment variable.
Unfortunately, it doesn't work so well when not attached to a terminal, like the way your app runs on Cloud Foundry. It prints out ANOTHER time-stamp in the output. So I don't use it. However, I liked the interface so much I copied it into my super-simple debug logger included with the sample application.
the winston
package
The winston package is sort of the Log4J of the JavaScript world; if you're coming from Java, and have used one of the standard logging libraries, you will feel right at home with winston.
the bunyan
package
The bunyan package provides an interesting twist to the logging world; rather than just print messages, it prints objects, as JSON. This of course helps solve the age-old question of "how do I provide richer, more precise data in my log messages". The price you pay is that you will likely need to use a filter to provide something readable to humans. A command-line filter is provided with the bunyan package.
thousands of others packages ...
6508 packages, to be precise (at the time of this writing). You might like the search results better at node-modules.com though.
As mentioned above, several times, I put together a little sample application that does a lot of logging, available at the GitHub repository IBM-Bluemix/loggy-node. The application presents a web page with buttons on it that will end up killing the server. This is so you can see what actually happens when your server dies.
Let's walk through some of the bits:
This is the main program of the application. It's heavily commented, so there's no need to go into details here, but here are some interesting points:
DEBUGinit()
et al functions.The V8 JavaScript engine has a really cool feature that allows you to generate your own formatted stack trace. See the JavaScriptStackTraceApi wiki page for more information. This is just eye candy, in this case, but you may find some other interesting use for it.
This is my super-simple module that acts kind of like the npm debug
package.
Couldn't be simpler. In a separate module, because you know you'll be
using this in more than one module.
Last bit is to show you what it logs, when you press the buttons in the app. I'll show the cut/non-RTR log as demonstrated previously, with the time also elided.
button "have the process exit with status 0"
loggy:init: application starting
loggy:init: enabling alternate stack trace
loggy:init: adding exit handler
loggy:init: adding uncaught exception handler
loggy:init: getting application environment
loggy:init: creating Hapi server
loggy:init: setting host/port for server
loggy:init: setting up Hapi error handler to debug log and exit
loggy:init: setting up route for static files
loggy:init: setting up routes for APIs
loggy:server: starting on: https://loggy-node-pjm.mybluemix.net
loggy:server: started on: https://loggy-node-pjm.mybluemix.net
loggy:exit: code: 0
App instance exited with guid ... payload: {...}
Note that the payload
bit in the last message often contains juicy bits
of information. In this case, there wasn't much, besides
"exit_status"=>0
, which is what we expected.
button "have the process exit with status 1"
Same as above, only this time, the payload
bit in the last message
contains "exit_status"=>1
, which, again, is what we expected.
button "throw an uncaught exception"
This time there are some more interesting messages:
loggy:error: exception: Error: Uncaught error: expected
server.js:145: apiError()
node_modules/hapi/lib/handler.js:94: internals.handler()
node_modules/hapi/lib/handler.js:28: <anon>()
node_modules/hapi/lib/protect.js:56: internals.Protect.run()
node_modules/hapi/lib/handler.js:22: exports.execute()
node_modules/hapi/lib/request.js:321: <anon>()
node_modules/hapi/node_modules/items/lib/index.js:35: iterate()
node_modules/hapi/node_modules/items/lib/index.js:27: done()
node_modules/hapi/node_modules/hoek/lib/index.js:781: <anon>()
node.js:376: tickDomainCallback()
loggy:exit: code: 1
Look at that GORGEOUS stack trace, courtesy the altStackTrace
module!
The payload still has "exit_status"=>1
, because our uncaught exception
handler calls process.exit(1)
.
button "consume all memory"
In this case, there won't be ANY of our logging messages, because there's no way to "hook" out of memory conditions in node.js. Be wary of any programming language runtime that offers such a thing. How much work can you do in an "out of memory" handler if ... you have no memory. Yeah, not much.
What you will see is the App instance exited
message, with something new
in the payload
: "exit_description"=>"out of memory"
. Neat! Cloud
Foundry was able to figure out we were out of memory, and told us via the
exit message.
I should note that while testing the "consume all memory" button, I didn't
ALWAYS see the out of memory
description. Most of the time, but not
all the time. When you run out of memory, things get weird.


UniformResourceLocator
ResourceLocatorInterfaceImplements Uniform Resource Location.
Properties
| string | $base |
Methods
No description
Return iterator for the resource URI.
Return recursive iterator for the resource URI.
Reset locator by removing all the schemes.
Add new paths to the scheme.
Return base directory.
Return true if scheme has been defined.
Return defined schemes.
Return all scheme lookup paths.
No description
Find highest priority instance from a resource.
Find all instances from a resource.
Find all instances from a list of resources.
Details
at line 31
__construct($base = null)
at line 44
UniformResourceIterator
getIterator(
string $uri,
int $flags = null)
Return iterator for the resource URI.
at line 56
RecursiveUniformResourceIterator
getRecursiveIterator(
string $uri,
int $flags = null)
Return recursive iterator for the resource URI.
at line 66
$this
reset()
Reset locator by removing all the schemes.
at line 84
addPath(
string $scheme,
string $prefix,
string|array $paths,
bool $override = false,
bool $force = false)
Add new paths to the scheme.
at line 126
string
getBase()
Return base directory.
at line 138
bool
schemeExists(
string $name)
Return true if scheme has been defined.
at line 148
array
getSchemes()
Return defined schemes.
at line 159
array
getPaths($scheme)
Return all scheme lookup paths.
at line 169
string|bool
__invoke($uri)
at line 186
string|bool
findResource(
string $uri,
bool $absolute = true,
bool $first = false)
Find highest priority instance from a resource.
at line 203
array
findResources(
string $uri,
bool $absolute = true,
bool $all = false)
Find all instances from a resource.
at line 221
array
mergeResources(
array $uris,
bool $absolute = true,
bool $all = false)
Find all instances from a list of resources.