The transformation is under way. Thanks to your support, the zoo's vision for a better future for wildlife is taking shape, with nearly half the zoo grounds getting an upgrade.
Find profiles of nearly every animal at the zoo, from Asian elephants to millipedes. Animal pages include facts about animal behavior, life history and conservation. Click on each animal to learn more.
Find out how the zoo is helping to recover species - from butterflies to California condors - and connect students to stories of conservation in the Pacific Northwest.
Most but not all zoo internships are unpaid, and offer real-world work experience and mentoring by professionals. Internships are available at the college or graduate level.
Keep calm and carrion: Zoo marks Vulture Day - The Oregon Zoo will celebrate International Vulture Awareness Day on Saturday, Sept. 2, showcasing California condors, turkey vultures and other "master recyclers," and highlighting the critical role vultures play in ecosystems around the world.
At 11 a.m. and 1:30 p.m., visitors can stop by the zoo's Condors of the Columbia habitat for keeper talks and up-close views of these colorful, charismatic and critically endangered birds. Though native to the region, and commonly seen here during the time of Lewis and Clark, California condors haven't soared through Northwest skies for more than a century. Volunteers will be on hand throughout the day, providing information about these enormous birds and the actions we can take to protect them.
— September 1, 2017 - 8:20am
Four ways to help elephants on World Elephant Day: Around the world, elephants are facing serious trouble. An estimated 35,000 African elephants are killed each year for their tusks, fueling an illegal ivory market and rapidly driving the world's largest land animal toward extinction. In Asia, it's even more dire — only about 40,000 to 50,000 Asian elephants total remain, living in fragmented populations from India to Borneo.
On World Elephant Day, Aug. 12, here are four ways to make a difference.
1. Urge companies to commit to deforestation-free palm oil. Palm oil is the world's most popular vegetable oil, used in everyday products like toothpaste, chocolate bars and lipstick. When tropical habitats are destroyed to produce it, Asian elephants and many other species can be left homeless. The Oregon Zoo's own Chendra was orphaned this way. Let companies know the use of deforestation-free palm oil is important to elephants and important to you.
2. Look for the FSC-certified logo. Whether you're purchasing a desk, printer paper or napkins, look for the Forest Stewardship Council label to help ensure your wood product is "friendly" to elephants and the forests they inhabit.
3. Add to the zoo's Asian elephant conservation endowment. Last year, the zoo earmarked $1 million to establish a permanent, self-sustaining source of funds specifically dedicated to helping Asian elephants. To contribute or learn about other ways to get involved, call<PHONE_NUMBER>.
4. Spread the word. Once you've taken action, let people know. Talk to your friends and reach out to your social media networks. Use the hashtag #WorldElephantDay, and let people know why we should help as well as how we can.
The Oregon Zoo is recognized worldwide for its Asian elephant program, which has spanned more than 60 years. Considered highly endangered in their range countries, Asian elephants are threatened by habitat loss, conflict with humans and disease. Through the International Elephant Foundation and the Association of Zoos and Aquariums, the zoo supports a broad range of elephant conservation efforts to help wild elephants.
— August 7, 2017 - 10:22am
5 things you should know about palm oil.: Palm oil is the most popular vegetable oil in the world, and the cheapest to produce. It's used in thousands of products, from cookies to lipstick. Indonesia and Malaysia produce about 85 percent of the world's supply, using roughly 53,800 square miles – half the size of Oregon.
The cost: the palm oil industry destroys vital habitats for increasingly endangered orangutans, tigers, Asian elephants and sun bears.
Here are five things wildlife advocates need to know about the issue.
1. You likely consumed palm oil today without knowing it Palm oil is in an estimated half of all packaged food products sold in American grocery stores. It's in the majority of cosmetics. Most baby formulas, laundry detergents, chocolate bars, toothpastes and shampoos contain palm oil. It can even be found in products as seemingly "additive-free" as cow's milk.
2. Ingredient labels won't always tell you which products contain palm oilThere are hundreds of names for palm oil and its derivatives. An ingredient is derived from palm oil if it includes the word "palm" in it (with the exception of hearts of palm), such as palmate or palmitate. An ingredient may be derived from palm oil if it includes the words "lauryl," "laureth," the prefix "stear-," "vegetable oil," "glycerin" or "emulsifier," to name a few. Grab the closest product to you right now. Is palm oil an ingredient?
3. Boycotting palm oil won't save forests or wildlifeIf consumers boycotted palm oil, companies would buy alternative oils that may require up to nine times as much land to produce. Meanwhile, palm oil growers will have even less incentive to produce responsible palm oil. The United States uses only a fraction of the world's supply of palm oil. The vast majority of it is used as cooking oil in China and Southeast Asia. A boycott of palm oil in the U.S. would have little to no impact on global palm oil use.
4. Responsibly produced palm oil does exist Palm oil producers don't have to cut down forests. They can use degraded land instead of forested land. They can plant higher-yield species of oil palm trees. But they won't do it unless their buyers insist. Unlike dolphin-safe tuna or FSC-certified wood, there's no logo for wildlife-friendly palm oil.
5. When consumers demand responsible palm oil, companies take action Some American companies like Mars, Smuckers and General Mills have committed to using only deforestation-free palm oil. Others have done little or nothing to cut deforestation from their supply chains. Before you shop, do some research. Identify and buy products from companies that have committed to deforestation-free palm oil. Speak out to businesses that still don't.
— September 7, 2017 - 5:01pm
Sign up for our email list to get reflections from the Staff, event information and updates from the staff at the Oregon Zoo.


| Opcode/Instruction | Op/En | 64/32bit Mode Support | CPUID Feature Flag | Description |
|---|---|---|---|---|
|
C7 F8 XBEGIN rel16 |
A | V/V | RTM | Specifies the start of an RTM region. Provides a 16-bit relative offset to compute the address of the fallback instruction address at which execution resumes following an RTM abort. |
|
C7 F8 XBEGIN rel32 |
A | V/V | RTM | Specifies the start of an RTM region. Provides a 32-bit relative offset to compute the address of the fallback instruction address at which execution resumes following an RTM abort. |
| Op/En | Operand 1 | Operand2 | Operand3 | Operand4 |
| A | Offset | NA | NA | NA |
The XBEGIN instruction specifies the start of an RTM code region. If the logical processor was not already in trans-actional execution, then the XBEGIN instruction causes the logical processor to transition into transactional execu-tion. The XBEGIN instruction that transitions the logical processor into transactional execution is referred to as the outermost XBEGIN instruction. The instruction also specifies a relative offset to compute the address of the fallback code path following a transactional abort.
On an RTM abort, the logical processor discards all architectural register and memory updates performed during the RTM execution and restores architectural state to that corresponding to the outermost XBEGIN instruction. The fallback address following an abort is computed from the outermost XBEGIN instruction.
XBEGIN
IF RTM_NEST_COUNT < MAX_RTM_NEST_COUNT THEN RTM_NEST_COUNT++ IF RTM_NEST_COUNT = 1 THEN IF 64-bit Mode THEN fallbackRIP ← RIP + SignExtend64(IMM) (* RIP is instruction following XBEGIN instruction *) ELSE fallbackEIP ← EIP + SignExtend32(IMM) (* EIP is instruction following XBEGIN instruction *) FI; IF (64-bit mode) THEN IF (fallbackRIP is not canonical) THEN #GP(0) FI; ELSE IF (fallbackEIP outside code segment limit) THEN #GP(0) FI; FI; RTM_ACTIVE ← 1 Enter RTM Execution (* record register state, start tracking memory state*) FI; (* RTM_NEST_COUNT = 1 *) ELSE (* RTM_NEST_COUNT = MAX_RTM_NEST_COUNT *) GOTO RTM_ABORT_PROCESSING FI; (* For any RTM abort condition encountered during RTM execution *) RTM_ABORT_PROCESSING: Restore architectural register state Discard memory updates performed in transaction Update EAX with status RTM_NEST_COUNT ← 0 RTM_ACTIVE ← 0 IF 64-bit mode THEN RIP ← fallbackRIP ELSE EIP ← fallbackEIP FI; END
None
XBEGIN:
unsigned int _xbegin( void );
None
| #UD |
CPUID.(EAX=7, ECX=0):EBX.RTM[bit 11]=0. If LOCK prefix is used. |
| #GP(0) | If the fallback address is outside the CS segment. |
| #GP(0) | If the fallback address is outside the address space 0000H and FFFFH. |
| #UD |
CPUID.(EAX=7, ECX=0):EBX.RTM[bit 11]=0. If LOCK prefix is used. |
| #GP(0) | If the fallback address is outside the address space 0000H and FFFFH. |
| #UD |
CPUID.(EAX=7, ECX=0):EBX.RTM[bit 11]=0. If LOCK prefix is used. |
Same exceptions as in protected mode.
| #UD |
CPUID.(EAX=7, ECX=0):EBX.RTM[bit 11] = 0. If LOCK prefix is used. |
| #GP(0) | If the fallback address is non-canonical. |


---
layout: default
permalink: /services/
---
I offer custom projects for a pre-agreed fixed price, therefore, I never go over budget. I have tons of experience (I do this stuff since 2004). I’m reliable.
I help you define your MVP. I’ll use the latest tech to finish the project quickly so you can start selling. I focus on pre-agreed business outcomes and won’t hassle you with time sheets
I have founded and co-founded several businesses. I understand that you work differently than a big corporation. I follow Lean Start-up principles.
I’ll update you regularly about the projects progress. I can take care of the tech decisions for you. Where appropriate I’ll supply prototypes for you to play with.


Woody Allen, Amazon end legal dispute over movie deal
by Jonathan StempelNEW YORK (Reuters) - Woody Allen has ended his $68 million lawsuit against Amazon.com Inc for backing out of a four-picture production and distribution agreement and refusing to distribute a film he had finished.
Allen and Amazon notified the federal court in Manhattan late on Friday night that the lawsuit was being voluntarily dismissed.
Lawyers for Allen and Amazon did not immediately respond on Saturday to requests for comment.
Allen had sued two Amazon units in February, claiming they could not abandon their distribution plans, including for his completed “A Rainy Day in New York,” because of a “baseless” allegation that he had molested his adopted daughter Dylan Farrow in 1992.
Amazon countered in court papers that Allen’s comments related to the #MeToo movement, which began in late 2017, ensured that the company could never receive the expected benefits from its contract with Allen, justifying its decision to end their relationship.
The filmmaker has long denied the allegation by Dylan Farrow, which was also made by her mother Mia Farrow, who appeared in a dozen Allen films and was his longtime partner. He has not been charged.
Allen has won four Oscars, including best director for 1977’s “Annie Hall,” which also won best picture.
But he has seen modest commercial returns for many films since breaking up with Mia Farrow, and some actors and actresses have expressed regret for appearing in his films after Dylan Farrow’s allegation gained renewed attention.
“Rainy Day” has been released outside the United States but not domestically.


Ace vocabulary terms
Used in JSON reports produced by Ace by DAISY.
Prefix
http://daisy.github.io/ace/terms-1.0
- a11y-metadata
- alt
- assertions
- audios
- canvass
- cfi
- controls
- data
- describedby
- embeds
- empty
- figcaption
- hasBindings
- hasFormElements
- hasManifestFallbacks
- hasMathML
- hasPageBreaks
- headings
- help
- html
- id
- iframes
- images
- kind
- label
- links
- location
- maps
- metadata
- missing
- name
- objects
- outlines
- present
- properties
- role
- rulesetTags
- scripts
- src
- srclang
- switches
- toc
- tracks
- triggers
- type
- url
- videos


| Filename | Percent | Threshold | Total | Covered | Uncovered |
|---|
| src\components\ExtraModaltitle\index.tsx | 80.00% | 80% | 20 | 16 | 4 |
[{"file":"src\\components\\ExtraModaltitle\\index.tsx","line":3,"character":4,"text":"text"},{"file":"src\\components\\ExtraModaltitle\\index.tsx","line":4,"character":4,"text":"extra"},{"file":"src\\components\\ExtraModaltitle\\index.tsx","line":7,"character":27,"text":"text"},{"file":"src\\components\\ExtraModaltitle\\index.tsx","line":7,"character":33,"text":"extra"}]


Welcome to Web Developers and Friends
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--- layout: default key: home title: Rong Zhuang's Profile ---
Hi, welcome to my personal website. I'm Rong Zhuang, a full-stack developer, currently working at SAP Ariba, located in Palo Alto, California. I have over 10 years' experience of software development in the IT industry.
Look through my 15+ portfolios(Live demo is available for web apps) and read 160+ tutorials to learn how to build web and mobile applications with Angular, React, iOS, Android, etc; and learn how to deploy web apps to cloud services like Amazon EC2, Azure, Heroku and Netlify.


RPICSIO
A C# I/O Library for the Raspberry Pi
Example Code
Example Code
Sample code illustrating the use of each of the main classes in the RPICSIO library.
The source code for all classes in the RPICSIO library are available online for
download
and also in
browseable form.
- How to use the I2CPort Class
- Examples demonstrating the use of the I2CPortFS class to write to and read from the I2C ports on the Raspberry Pi.
- How to use the InputPort Classes
- Examples demonstrating the use of the InputPortFS and InputPortMM classes to read the state (high or low) of a GPIO pin on the Raspberry Pi.
- How to use the InterruptPort Class
- Examples demonstrating the use of the InterruptPortMM class to trigger a .NET event on a state change (high or low) of a GPIO pin on the Raspberry Pi.
- How to use the OutputPort Classes
- Examples demonstrating the use of the OutputPortFS and OutputPortMM classes to set the state (high or low) of a GPIO pin on the Raspberry Pi.
- How to use the PWMPort Class
- Examples demonstrating how to use the PWMPort class to enable a PWM output, set its fundamental frequency and adjust the
duty cycle.
- How to use the SerialPort Class
- Examples demonstrating the use of the SerialPortFS class to write to and read from the serial ports on the Raspberry Pi.
- How to use the SPIPort Class
- Examples demonstrating the use of the SPIPortFS class to write to and read from the SPI ports on the Raspberry Pi.


{% extends "melange/base.html" %}
{% comment %}
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
{% endcomment %}
{% block page_content %}
{% for program_section in program_sections %}
{{ program_section.render }}
{% empty %}
Sorry, there are no active programs at this time
{% endfor %}
{% if contact_us_section.isAnyContactChannelSet %}
{{ contact_us_section.render }}
{% endif %}
{% endblock page_content %}


WITNESS LIST
Nominations
February 7, 2019 9:00 AM
Court of Appeals for the Eleventh Court of Appeals District
FOR:
Stretcher, Keith Justice 11th Court of Appeals (Self), TX
Court of Appeals for the Tenth Court of Appeals District
FOR:
Neill, John District Judge (Self), Burleson, TX
Court of Appeals for the Thirteenth Court of Appeals District
FOR:
Perkes, Greg Attorney-Mediator (Self), Corpus Christi, TX
Criminal District Attorney, Navarro County
FOR:
Dixon, William Lawyer (Self), Corsicana, TX
Office of the Secretary of State
FOR:
Cahn, Adam (Cahnman's Musing), Austin, TX
Cosgray, Craig President, Marengo Films (Self; Highland Lakes Tea Party), Spicewood,
TX
Foster, Cornelia (Self), Austin, TX
Johnson, Gail (Self; Election Judges and Clerks), Lytle, TX
Long, Matt Woodworker (Self), Fredericksburg, TX
Pressley, Laura Doctor (Self; Grassroots America), Tyler, TX
Whitley, David Secretary of State (Self), Austin, TX
AGAINST:
Aronwitz, Jacob Field Director (Self; Siegel for Congress), Austin, TX
Brodsky, Nina Bookkeeper/Artist (Self), Austin, TX
Burnam, Lon Retired (Public Citizen), Fort Worth, TX
Chamberlain, Steve (Self), Cedar Creek, TX
Garcia, Domingo National President of LULAC (LULAC), Dallas, TX
Garibay, Julieta (Self), Austin, TX
Garibay, Montsevrat Secretary/Treasurer (Texas AFL-CIO), Austin, TX
Gomez, Hilda (Self), Sealy, TX
Gutierrez, Anthony Executive Director (Common Cause Texas), Austin, TX
Olivera, Alejandra (Workers Defense), Austin, TX
Peek, Whitney (Self), Austin, TX
Perales, Nina VP of Litigation at MALDEF (also providing written testimony)
(MALDEF), San Antonio, TX
Robles, Samantha Advocacy Director (Progress Texas), Austin, TX
Siegel, Michael Attorney (Self), Austin, TX
Stout, David County Commissioner (Self), El Paso, TX
ON:
Keller, James Photographer/Property Management (Self), Wimberley, TX
Weatherby, Cynthia (Self; League of Women Voters of Texas), Austin, TX
WITNESS LIST
Nominations
February 7, 2019 9:00 AM
Registering, but not testifying:
FOR:
Spraggins, Don (Self), Fredericksburg, TX
Spraggins, Doris (Self), Fredericksburg, TX
AGAINST:
Burns, Briana (Self), Austin, TX
Buyse, Beth (Self), Austin, TX
Coorpror, Annie (Self), Austin, TX
Dennis, Cecilia (Self), Austin, TX
Johnson, Kent Retired (Self), Austin, TX
Yi, Alice (Self), Austin, TX
Providing written testimony:
AGAINST:
Jones, David Attorney (Clean Elections Texas), Dallas, TX


Newcastle Grainger Market opening hours - when to go for food, shopping and more
The covered market is home to street food stalls, cafes, greengrocers, butchers, fishmongers and more
by Simon MeechanIf you can get into Newcastle City Centre during a weekday or on a Saturday, it's worth popping into the Grainger Market to stock up on supplies or enjoy a quick lunch.
The covered market houses a variety of greengrocers, butchers, fishmongers and other stalls, which offer great value on fresh produce. As well as meat, fish and vegetables, shoppers can get cheese, freshly ground coffee, freshly baked bread, cakes and dry goods.
All 20 Newcastle Grainger Market lunch stalls reviewed - except the new one!
The Grainger Market is also an extremely popular lunch spot, with stalls ranging from traditional sandwiches to cuisine from around the world. Where else in Newcastle can you choose between gryos , meze, Chinese dumplings, Italian pizza slices and tapas, all under one roof?
When is the Grainger Market open?
The Grainger Market is open between 9am and 5.30pm, Monday to Saturday. It is closed on Sundays. However, there are occasional Sunday and late openings, especially at Christmas.
Christmas opening 2019
The market is opening on Sundays from 11am to 4pm in the run-up to Christmas starting December 1. It will also open December 8, 15 and 22.


{% extends "base.html" %} {% load custom_filters %} {% block titlebar %}Page Does Not Exist{% endblock %} {% block title %}Page Does Not Exist{% endblock %} {% block content %} We're sorry, but the page you requested does not exist. {% endblock %}


“There has been a single order that has been algorithmically-managed across these three venues, of around 20,000 BTC,” he said.
“If you look at the volumes on each of those three exchanges – there were in-concert, synchronized, units of volume of around 7,000 BTC in an hour”.
-Reuters
(edited)


John Cena reveals Tic Tac addiction from WWE days: 'It's pretty much 10,000 calories of straight sugar'
by Andy SahadeoJohn Cena recently confessed to having a Tic Tac addiction during his WWE days.
The wrestler-turned-actor would go through boxes of the mints before every match, he said during an interview earlier this month on “The Kelly Clarkson Show.”
VIN DIESEL PRAISES JOHN CENA AHEAD OF 'FAST AND FURIOUS 9' RELEASE
“My thing was always Tic Tacs," he told host Kelly Clarkson.
“That’s like a child!” Clarkson said.
“Yeah, it’s pretty much 10,000 calories of straight sugar,” Cena said.
JOHN CENA ON FIRST RESPONDERS: 'LET THEM KNOW THEY ARE APPRECIATED'
Cena, 42, said the addiction began as a way to circumvent body odor when stepping into the ring with his opponents.
“You always want to try to smell your best,” he said.
“Everyone’s given a few mulligans in the B.O. and the breath category, but we also have a nice form of policing ourselves, where if somebody has a few more mulligans than he should we kind of give him the old, ‘Hey man, it’s our office out there, could you keep it together?’” Cena explained.
 He then began a career in Hollywood and recently starred in the film “Playing with Fire” alongside Keegan-Michael Key and John Leguizamo.
Cena last wrestled on an episode of “Monday Night Raw” in January, taking a pinfall loss to Finn Bálor in a four-way match that also featured Drew McIntyre and Baron Corbin.


Alex has been interested in digital currency, distributed systems, and information security for over 20 years. He's contributed research and code to the Bitcoin community for over 10 years.
Alex has contributed to projects such as
Prior to working on Bitcoin, Alex worked in information security. His experience ranged from managed security services to large companies, non-profits, and government agencies.
Alex is currently interested in integrating the Bitcoin Lightning Network into the infrastructure of the distributed web and increasing its real-world adoption.


We do not collect any information from users.
We do not use any user information.
All of your information is stored on your personal device and protected by the operating system policies.
No.
By using our application, you consent to our web site privacy policy.
If there are any questions regarding this privacy policy you may contact us using the information below.


Here's a list of October inflation rates for selected Canadian cities
OTTAWA - Canada's national annual inflation rate was 1.9 per cent in October, Statistics Canada says. The agency also released rates for major cities, but cautioned that figures may have fluctuated widely because they are based on small statistical samples (previous month in brackets):
— St. John's, N.L.: 0.4 per cent (0.4)
— Charlottetown-Summerside: 1.1 (1.5)
— Halifax: 1.0 (2.2)
— Saint John, N.B.: 1.1 (1.8)
— Quebec: 1.8 (1.6)
— Montreal: 2.7 (2.5)
— Ottawa: 2.0 (2.1)
— Toronto: 1.7 (1.7)
— Thunder Bay, Ont.: 1.1 (0.9)
— Winnipeg: 2.3 (2.3)
— Regina: 1.5 (1.7)
— Saskatoon: 1.3 (1.7)
— Edmonton: 1.6 (1.4)
— Calgary: 1.4 (1.1)
— Vancouver: 2.3 (2.3)
— Victoria: 2.0 (2.4)


theora_state Struct Reference
Codec internal state and context.
More...
#include <theora.h>
|
Data Fields |
|
theora_info * | i |
|
ogg_int64_t | granulepos |
|
void * | internal_encode |
|
void * | internal_decode |
Detailed Description
Codec internal state and context.
The documentation for this struct was generated from the following file:
Generated on Wed Dec 15 12:06:33 2004 for libtheora by
<IP_ADDRESS>


Reference Language | Libraries | Comparison | Changes
|
This library allows you to communicate with SPI devices, with the Arduino as the master device. A Brief Introduction to the Serial Peripheral Interface (SPI)Serial Peripheral Interface (SPI) is a synchronous serial data protocol used by microcontrollers for communicating with one or more peripheral devices quickly over short distances. It can also be used for communication between two microcontrollers. With an SPI connection there is always one master device (usually a microcontroller) which controls the peripheral devices. Typically there are three lines common to all the devices,
To write code for a new SPI device you need to note a few things:
The SPI standard is loose and each device implements it a little differently. This means you have to pay special attention to the device's datasheet when writing your code. Generally speaking, there are three modes of transmission. These modes control whether data is shifted in and out on the rising or falling edge of the data clock signal (called the clock phase, and whether the clock is idle when high or low (called the clock polarity). The three modes combine polarity and phase. The
Once you have your SPI parameters set correctly you just need to figure which registers in your device control which functions, and you're good to go. This will be explained in the data sheet for your device. For more on SPI, see Wikipedia's page on SPI. ConnectionsOn the Arduino Duemilanove and other ATmega168 / 328-based boards, the SPI bus uses pins 10 (SS), 11 (MOSI), 12 (MISO), and 13 (SCK). On the Arduino Mega, this is 50 (MISO), 51 (MOSI), 52 (SCK), and 53 (SS). MISO, MOSI, and SCK are also available in a consistent physical location on the ICSP header; this is useful, for example, in designing a shield that works on the Uno and the Mega. Note that even if you're not using the SS pin, it must remain set as an output; otherwise, the SPI interface can be put into slave mode, rendering the library inoperative. It is, however, possible to use a pin other than pin 10 as the slave select (SS) pin. For example, the Arduino Ethernet shield uses pin 4 to control the SPI connection to the on-board SD card, and pin 10 to control the connection to the Ethernet controller. |
Functions
Examples
See also |
Corrections, suggestions, and new documentation should be posted to the Forum.
The text of the Arduino reference is licensed under a Creative Commons Attribution-ShareAlike 3.0 License. Code samples in the reference are released into the public domain.


Manage the stored json data.


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{% load i18n %}
{% trans "This name already exists" %}
{% trans "A Subnet name is required." %}
{% trans "Name length should be less than 255 chars." %}
*{% trans 'Select a Network' %}
{% trans "Network Address" %}
{% trans "A Subnet IP address is required." %}
{% trans "Gateway Address" %}
{% trans "The gateway IP address format is not correct." %}
{% trans "Please set the correct Network Address and Gateway IP." %}
{% trans "This address can be used as default gateway of other host in this private net, if not fill, system will generate." %}


Migrating to PyPI.org¶
pypi.org is the new, rewritten version of PyPI that has replaced the
legacy PyPI code base. It is the default version of PyPI that people are
expected to use. These are the tools and processes that people will need to
interact with PyPI.org
.
Publishing releases¶
pypi.org
is the default upload platform as of September 2016.
Uploads through pypi.python.org
were switched off on July 3, 2017.
As of April 13th, 2018, pypi.org
is the URL for PyPI.
The recommended way to migrate to PyPI.org for uploading is to ensure that you are using a new enough version of your upload tool.
The default upload settings switched to pypi.org
in the following versions:
twine
1.8.0setuptools
27.0.0Python 2.7.13 (
distutils
update)Python 3.4.6 (
distutils
update)Python 3.5.3 (
distutils
update)Python 3.6.0 (
distutils
update)
In addition to ensuring you're on a new enough version of the tool for the
tool's default to have switched, you must also make sure that you have not
configured the tool to override its default upload URL. Typically this is
configured in a file located at $HOME/.pypirc
. If you see a file like:
[distutils]
index-servers =
pypi
[pypi]
repository = https://pypi.python.org/pypi
username = <your PyPI username>
password = <your PyPI username>
Then simply delete the line starting with repository
and you will use
your upload tool's default URL.
If for some reason you're unable to upgrade the version of your tool
to a version that defaults to using PyPI.org, then you may edit
$HOME/.pypirc
and include the repository:
line, but use the
value https://upload.pypi.org/legacy/
instead:
[distutils]
index-servers =
pypi
[pypi]
repository = https://upload.pypi.org/legacy/
username = <your PyPI username>
password = <your PyPI password>
(legacy
in this URL refers to the fact that this is the new server
implementation's emulation of the legacy server implementation's upload API.)
For more details, see the specification for .pypirc
.
Registering package names & metadata¶
Explicit pre-registration of package names with the setup.py register
command prior to the first upload is no longer required, and is not
currently supported by the legacy upload API emulation on PyPI.org.
As a result, attempting explicit registration after switching to using PyPI.org for uploads will give the following error message:
Server response (410): This API is no longer supported, instead simply upload the file.
The solution is to skip the registration step, and proceed directly to uploading artifacts.
Using TestPyPI¶
Legacy TestPyPI (testpypi.python.org) is no longer available; use
test.pypi.org instead. If you use TestPyPI,
you must update your $HOME/.pypirc
to handle TestPyPI's new
location, by replacing https://testpypi.python.org/pypi
with
https://test.pypi.org/legacy/
, for example:
[distutils]
index-servers=
pypi
testpypi
[testpypi]
repository = https://test.pypi.org/legacy/
username = <your TestPyPI username>
password = <your TestPyPI password>
For more details, see the specification for .pypirc
.
Registering new user accounts¶
In order to help mitigate spam attacks against PyPI, new user registration
through pypi.python.org
was switched off on February 20, 2018.
New user registrations at pypi.org
are open.
Browsing packages¶
While pypi.python.org
is may still be used in links from other PyPA
documentation, etc, the default interface for browsing packages is
pypi.org
. The domain pypi.python.org now redirects to pypi.org,
and may be disabled sometime in the future.
Downloading packages¶
pypi.org
is the default host for downloading packages.
Managing published packages and releases¶
pypi.org
provides a fully functional interface for logged in users to
manage their published packages and releases.


Constructor
new Chat()
- Source:
- See:
Members
allMembersAreAdministrators :boolean
Whether or not if a group has ‘All Members Are Admins’ enabled.
Type:
- boolean
- Source:
(nullable) firstName :string
First name of the other party in a private chat
Type:
- string
- Source:
id :string
The chat's ID.
Type:
- string
- Source:
(nullable) lastName :string
Last name of the other party in a private chat
Type:
- string
- Source:
(nullable) photo :ChatPhoto
The chat photo. Returned only in getChat.
Type:
- ChatPhoto
- Source:
(nullable) title :string
The title of the chat, for supergroups, channels and group chats
Type:
- string
- Source:
type :string
The type of chat this is.
Type:
- string
- Source:
(nullable) username :string
The username associated to the chat, for private chats, supergroups and channels if available
Type:
- string
- Source:
Methods
forwardHere(message, disablenotif) → {Promise}
Forwards a message to this chat.
Parameters:
| Name | Type | Description |
|---|---|---|
message |
Message | Message to forward. |
disablenotif |
boolean | Sends the message silently. Users will receive a notification with no sound. |
Returns:
- Type
- Promise
leave() → {Promise}
Leaves the chat.
Returns:
- Type
- Promise
send(message, options) → {Promise.<(Message|Array.<Message>)>}
Sends a text message to the chat.
Parameters:
| Name | Type | Description |
|---|---|---|
message |
string | The message to send. Can also be a `file_id` previously uploaded. |
options |
MessageOptions | Options for the message |
Returns:
- Type
- Promise.<(Message|Array.<Message>)>
sendAudio(audio, options) → {Promise.<Message>}
Sends an audio file to the chat.
Parameters:
| Name | Type | Description |
|---|---|---|
audio |
Audio | String | stream.Stream | Buffer | A file path, Stream or Buffer. Can also be a `file_id` previously uploaded. |
options |
MessageOptions | Options for the message |
Returns:
- Type
- Promise.<Message>
sendContact(contact, options) → {Promise.<Message>}
Sends a contact to the chat.
Parameters:
| Name | Type | Description |
|---|---|---|
contact |
Contact | ContactObject | The contact to send. |
options |
MessageOptions | Options for the message |
Returns:
- Type
- Promise.<Message>
sendDocument(document, options) → {Promise.<Message>}
Sends a document to the chat.
Parameters:
| Name | Type | Description |
|---|---|---|
document |
Document | String | stream.Stream | Buffer | A file path, Stream or Buffer. Can also be a `file_id` previously uploaded. |
options |
MessageOptions | Options for the message |
Returns:
- Type
- Promise.<Message>
sendGame(user, name, options) → {Promise.<Message>}
Sends a photo to the chat.
Parameters:
| Name | Type | Description |
|---|---|---|
user |
User | number | The user to send the game to. |
name |
string | The name of the game |
options |
MessageOptions | Options for the message |
Returns:
- Type
- Promise.<Message>
sendLocation(location, options) → {Promise.<Message>}
Sends a location to the chat.
Parameters:
| Name | Type | Description |
|---|---|---|
location |
Location | LocationObject | The location to send |
options |
MessageOptions | Options for the message |
Returns:
- Type
- Promise.<Message>
sendPhoto(photo, options) → {Promise.<Message>}
Sends a photo to the chat.
Parameters:
| Name | Type | Description |
|---|---|---|
photo |
Photo | String | stream.Stream | Buffer | A file path, Stream or Buffer. Can also be a `file_id` previously uploaded. |
options |
MessageOptions | Options for the message |
Returns:
- Type
- Promise.<Message>
sendSticker(sticker, options) → {Promise.<Message>}
Sends a .webp Sticker in the chat.
Parameters:
| Name | Type | Description |
|---|---|---|
sticker |
Sticker | String | stream.Stream | Buffer | A file path, Stream or Buffer. Can also be a `file_id` previously uploaded. |
options |
MessageOptions | Options for the message |
Returns:
- Type
- Promise.<Message>
sendVenue(venue, options) → {Promise.<Message>}
Sends a venue to the chat.
Parameters:
| Name | Type | Description |
|---|---|---|
venue |
Venue | VenueObject | A file path, Stream or Buffer. Can also be a `file_id` previously uploaded. |
options |
MessageOptions | Options for the message |
Returns:
- Type
- Promise.<Message>
sendVideo(video, options) → {Promise.<Message>}
Sends a video to the chat.
Parameters:
| Name | Type | Description |
|---|---|---|
video |
Video | String | stream.Stream | Buffer | A file path, Stream or Buffer. Can also be a `file_id` previously uploaded. |
options |
MessageOptions | Options for the message |
Returns:
- Type
- Promise.<Message>
sendVoice(voice, options) → {Promise.<Message>}
Sends a voice file to the chat.
Parameters:
| Name | Type | Description |
|---|---|---|
voice |
Voice | String | stream.Stream | Buffer | A file path, Stream or Buffer. Can also be a `file_id` previously uploaded. |
options |
MessageOptions | Options for the message |
Returns:
- Type
- Promise.<Message>


Latitude: {{sight.x}}
Longitude: {{sight.y}}"
unique_squirrel_id: {{sight.unique_squirrel_id}}
hectare: {{sight.hectare}}
shift: {{sight.shift}}
date: {{sight.date.year}}-{{sight.date.month|stringformat:'02d'}}-{{sight.date.day|stringformat:'02d'}}
age: {{sight.age}}
hectare_squirrel_number: {{sight.hectare_squirrel_number}}
primary_fur_color: {{sight.primary_fur_color}}
highlight_fur_color: {{sight.highlight_fur_color}}
combination_of_primary_and_highlight_color: {{sight.combination_of_primary_and_highlight_color}}
color_notes: {{sight.color_notes}}
location: {{sight.location}}
above_ground_sighter_measurement: {{sight.above_ground_sighter_measurement}}
specific_location: {{sight.specific_location}}
running: {{sight.running}}
chasing: {{sight.chasing}}
climbing: {{sight.climbing}}
eating: {{sight.eating}}
foraging: {{sight.foraging}}
other_activities: {{sight.other_activities}}
kuks: {{sight.kuks}}
quaas: {{sight.quaas}}
moans: {{sight.moans}}
tail_flags: {{sight.tail_flags}}
tail_twitches: {{sight.tail_twitches}}
approaches: {{sight.approaches}}
indifferent: {{sight.indifferent}}
runs_from: {{sight.runs_from}}
other_interactions: {{sight.other_interactions}}


Table of Contents
Proximity is an environment for knowledge discovery in relational data. It helps human analysts discover new knowledge by analyzing complex data sets about people, places, things, and events. New developments in this area are vital because of the growing interest in analyzing the Web, social networks, telecommunications and computer networks, relational and object-oriented databases, multi-agent systems, and other sources of structured and semi-structured data.
Proximity consists of novel algorithms that help manage, explore, sample, model, and visualize data. Proximity implements methods for learning statistical models that describe the probabilistic dependencies in relational data and can estimate probability distributions over unseen data. Proximity is an open-source application developed in Java, and it makes substantial use of MonetDB [Boncz and Kersten, 1995], [Boncz, 2002], an open-source, vertical database system designed for high performance on semi-structured data.
First-generation tools for knowledge discovery are already widely deployed in business, science, and government. These tools help epidemiologists identify emerging diseases, help engineers improve industrial processes, and help credit-card companies spot fraud.
Unfortunately, much of the technical work in knowledge discovery, and its underlying statistical theory, assumes that data records are structurally homogeneous and statistically independent. For example, to analyze a set of patient records to determine useful diagnostic rules for a new disease, traditional techniques would assume that the records provide the same type of information about each patient and that knowing something about one patient tells you nothing about another. Good work in epidemiology, however, regularly considers records of many types (e.g., patients, workplaces, industrial chemicals) as well as relationships among those records (genetic and social relationships among patients, occupational exposure of patients to chemicals, etc.).
Ignoring this relational information vastly oversimplifies many problems and can make their deep structure all but undiscoverable. Indeed, the importance of such relational information is precisely what led computer scientists to create relational databases and knowledge representations based on first-order logic. To date, however, most technologies for knowledge discovery have lagged behind these decades-old innovations, only addressing the data contained in a single database table and only expressing concepts in representations roughly equivalent to propositional logic.
Addressing fully relational tasks has raised a remarkable array of new problems in statistical inference, required the development of new technologies for knowledge discovery, and raised new questions about the assessment and management of these technologies. The need to investigate these interconnected questions has driven the work of the Knowledge Discovery Laboratory (KDL) at the University of Massachusetts Amherst, and the desire to disseminate our findings led us to create Proximity.


Lesson 6 - Texture This!
Introduction
Now that we have added some depth, it's time to move on from simple colors to something a little more exciting. We're going to create a single cube again, but this time, instead of color, we'll apply a texture to it - where the texture is drawn from an image. Three.js does most of the heavy lifting here, so this is a fairly short lesson.
Again, we instantiate a scene and call initializeScene()where all the work gets done.
Initialization
First we need to create the cube. This is easy to as three.js provides a BoxGeometry. which takes just the same three parameters:
var cubeGeometry = new THREE.BoxGeometry(1.5, 1.5, 1.5);
Note that like most three.js objects, BoxGeometry takes more than 3 parameters, but it's all we need here.
Next we need to load the texture, which is pretty easy
var neheTexture = new THREE.ImageUtils.loadTexture("../images/NeHe.jpg");
Again, there are a LOT more parameters to loading a texture (and displaying it), but we'll come back to those in a later lesson. For now we need to use the texture to create a new material for our cube.
var cubeMaterial = new THREE.MeshBasicMaterial({
map:neheTexture,
side:THREE.DoubleSide
});
The we just create the mesh, same as before and insert the geometry and the material. Translate the whole mesh by by 4 on the z axis and add the mesh to the scene.
cubeMesh = new THREE.Mesh(cubeGeometry, cubeMaterial);
cubeMesh.position.set(1.5, 0.0, 4.0);
scene.add(cubeMesh);
Animation
Again, we animate them in our animateScene function. This time we want the rotations to be different on each axis (just for fun), so we define 3 variables
var xRotation = 0.0;
var yRotation = 0.0;
var zRotation = 0.0;
And then we increment each of them separately in our animateScene function.
xRotation += 0.03;
yRotation += 0.02;
zRotation += 0.04;
cubeMesh.rotation.set(xRotation, yRotation, zRotation);
And that's it! Go on to the this link to see the actual rendered demo in all its textured glory!
As always, the original sources are on github here.


{% extends '_main.html' %} {% load datasets_tags %} {% block page_title %}Pipelines - {{ block.super }}{% endblock page_title %} {% block breadcrumbs %}
{% endblock breadcrumbs %} {% block content %}Error fetching information for this pipeline
{% elif not dag.enabled %}This pipeline has been paused
{% elif dag.last_run is None %}This pipeline has not yet run
{% elif dag.last_run.state == "failed" %} {% with dag.last_run.end_date|parse_date_string as end_date %}The most recent run of this pipeline failed at {{ end_date|time_with_gmt_offset }}, {{ end_date|format_date_uk }}
{% endwith %} {% elif dag.last_run.state == "success" %} {% with dag.last_run.end_date|parse_date_string as end_date %}The most recent run of this pipeline succeeded at {{ end_date|time_with_gmt_offset }}, {{ end_date|format_date_uk }}
{% endwith %} {% else %}This pipeline is currently running
{% endif %} {% endwith %} Edit Delete View logs


Your shared embroidery digitizer
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Your embroidery digitizer working with you in real-time
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When you subscribe to any service, you get 2 to 4 weeks (depending on the service offered) to try the service at no cost. We use the trial period to ensure we understand your working style, your expectations and to ensure we have the right people working for you based on your needs.
You can send us as much work as you want; however, please keep in mind that with our fractional service turn times are not in real-time as you are sharing resources with other customers. Based on this being a shared resource, it may take longer to get the work completed. We will let you know what to expect in terms of turn times.
You have a direct line to us. Communications will occur mostly by email and our online portal, but also by phone, Skype, and live chat. We also use online platforms for project management to which you will have access.
The key to receiving what you expect is providing feedback, feedback, feedback. Our team learns very quickly about your expectations, so don't hesitate to tell us what you like and don't like!
For fractional services, the turn times are typically 24 hours or less
on most jobs.
For full-time services, we work on the jobs in real-time. However, actual
turn times for any job is highly dependent on the complexity of the work
provided.
This depends on the complexity of the work provided. If it's complicated, don't expect us to turn things around in minutes. During the first few weeks of working together, we will be able to give you an assessment of what sort of turn times to expect for the type of work you have for us.
"Fractional" services are handled by a part-time employee. These employees
work, not only for you but for a number of clients. They can typically
handle 1 file and a few revisions per day which translates to approximately
an hour a day, per client, at most.
"Full-time" services are handled by employees assigned to you 100%. They
do not work for any other clients. The work during your business hours
and with a 40 hour work week.
Due to the number of trials we offer, we want to ensure we provide free
trials to serious customers. When you register, we will ask you for your
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during your trial.
As well, we use Stripe to process credit card transactions, so your details
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If you happen to decide to cancel just let us know as<EMAIL_ADDRESS>but we know that you're going to love us!


Class: Zif::UI::NinePanelEdge Deprecated
- Inherits:
-
Object
- Object
- Zif::UI::NinePanelEdge
- Defined in:
- lib/zif/ui/nine_panel_edge.rb
Overview
Meant for complex edges in the NinePanel.
This is sort of an example as to how you could extend the simple framework of the NinePanel for some UI component which is a little more complex. In this case, we want to have an extension of each corner, plus some transition graphic between each extension.
So it looks kinda like this: <—-X—-> Where X
is the transition graphic, the -
‘s are left and right edge, and the <>’s are the corners
Two corners are provided by NinePanel already, so this just defines the extra components of the edge: left right and center, as #left_edge #right_edge and #transition.
At least one of #left_edge #right_edge must be present, but the rest is optional. If you only define one edge it should act the same as a regular edge in NinePanel.
Since this is basically just an example, some documentation is missing here and this is marked as deprecated. See the code and ExampleApp::MetalPanel
Instance Attribute Summary collapse
-
#height ⇒ Object
Returns the value of attribute height.
-
#left_edge ⇒ Zif::Sprite
A sprite for the left edge.
-
#ready ⇒ Object
Returns the value of attribute ready.
-
#right_edge ⇒ Zif::Sprite
A sprite for the left edge.
-
#transition ⇒ Object
Returns the value of attribute transition.
-
#transition_height ⇒ Object
Returns the value of attribute transition_height.
-
#transition_path ⇒ Object
Returns the value of attribute transition_path.
-
#transition_width ⇒ Object
Returns the value of attribute transition_width.
-
#width ⇒ Object
Returns the value of attribute width.
Instance Method Summary collapse
- #check_ready ⇒ Object
-
#init_sprites ⇒ Object
This must be manually called once after setting up component edges Creates the sprites for the different segments based on what’s been set Either left or right edge must be present, and @ready is set based on this.
-
#initialize ⇒ NinePanelEdge
constructor
Need to set at least one of left/right_edge, and optionally a transition, after initialize.
- #max_height ⇒ Object
- #min_width ⇒ Object
- #reposition(x, y) ⇒ Object
- #resize_width(new_width = min_width) ⇒ Object
- #sprites ⇒ Object
-
#stretch(x, y, new_width = min_width) ⇒ Object
Given a goal width, stretch the given segments across it If only one of left/right edge is given, that will just be stretched to fit If a transition is given, it will be placed after “left” but before “right” and not stretched If both left and right are given, the goal width is divided between them and the left side is prefered if it’s odd.
- #update_paths ⇒ Object
Constructor Details
#initialize ⇒ NinePanelEdge
Need to set at least one of left/right_edge, and optionally a transition, after initialize
39 40 41 42 43 44 45 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 39 def initialize @left_edge_height = 0 @right_edge_height = 0 @transition_width = 0 @transition_height = 0 @ready = false end |
Instance Attribute Details
#height ⇒ Object
Returns the value of attribute height.
23 24 25 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 23 def height @height end |
#left_edge ⇒ Zif::Sprite
Returns A sprite for the left edge.
|
|
# File 'lib/zif/ui/nine_panel_edge.rb', line 25
|
#ready ⇒ Object
Returns the value of attribute ready.
23 24 25 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 23 def ready @ready end |
#right_edge ⇒ Zif::Sprite
Returns A sprite for the left edge.
|
|
# File 'lib/zif/ui/nine_panel_edge.rb', line 28
|
#transition ⇒ Object
Returns the value of attribute transition.
36 37 38 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 36 def transition @transition end |
#transition_height ⇒ Object
Returns the value of attribute transition_height.
36 37 38 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 36 def transition_height @transition_height end |
#transition_path ⇒ Object
Returns the value of attribute transition_path.
36 37 38 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 36 def transition_path @transition_path end |
#transition_width ⇒ Object
Returns the value of attribute transition_width.
36 37 38 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 36 def transition_width @transition_width end |
#width ⇒ Object
Returns the value of attribute width.
23 24 25 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 23 def width @width end |
Instance Method Details
#check_ready ⇒ Object
146 147 148 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 146 def check_ready raise 'Must call #init_sprites after setting left/right edges and transition' unless @ready end |
#init_sprites ⇒ Object
This must be manually called once after setting up component edges Creates the sprites for the different segments based on what’s been set Either left or right edge must be present, and @ready is set based on this. Transition is optional.
50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 50 def init_sprites if @left_edge_path @left_edge = Zif::Sprite.new.tap do |edge| edge.h = @left_edge_height edge.w = @cur_left_edge_width end end if @right_edge_path @right_edge = Zif::Sprite.new.tap do |edge| edge.h = @right_edge_height edge.w = @cur_right_edge_width end end if @transition_path @transition = Zif::Sprite.new.tap do |edge| edge.h = @transition_height edge.w = @transition_width end end @ready = [@left_edge, @right_edge].any? update_paths end |
#max_height ⇒ Object
77 78 79 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 77 def max_height [@left_edge_height, @right_edge_height, @transition_height].max end |
#min_width ⇒ Object
81 82 83 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 81 def min_width (@left_edge_path ? 1 : 0) + @transition_width + (@right_edge_path ? 1 : 0) end |
#reposition(x, y) ⇒ Object
95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 95 def reposition(x, y) check_ready cur_x = x if @left_edge @left_edge.x = cur_x @left_edge.y = (max_height - @left_edge_height) + y cur_x += @cur_left_edge_width end if @transition @transition.x = cur_x @transition.y = (max_height - @transition_height) + y cur_x += @transition_width end return unless @right_edge @right_edge.x = cur_x @right_edge.y = (max_height - @right_edge_height) + y end |
#resize_width(new_width = min_width) ⇒ Object
117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 117 def resize_width(new_width=min_width) check_ready @width = [new_width, min_width].max.floor @height = max_height # Set side width if @left_edge && @right_edge # TODO: Allow setting a max width. Right now this places the transition exactly in the center. each_side_width, extra_for_left_side = (@width - @transition_width).divmod(2) @cur_left_edge_width = each_side_width + extra_for_left_side @cur_right_edge_width = each_side_width else @cur_left_edge_width = @cur_right_edge_width = (@width - @transition_width) end @left_edge.w = @cur_left_edge_width if @left_edge @right_edge.w = @cur_right_edge_width if @right_edge end |
#sprites ⇒ Object
150 151 152 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 150 def sprites [@left_edge, @transition, @right_edge] end |
#stretch(x, y, new_width = min_width) ⇒ Object
Given a goal width, stretch the given segments across it If only one of left/right edge is given, that will just be stretched to fit If a transition is given, it will be placed after “left” but before “right” and not stretched If both left and right are given, the goal width is divided between them and the left side is prefered if it’s odd
89 90 91 92 93 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 89 def stretch(x, y, new_width=min_width) resize_width(new_width) reposition(x, y) sprites end |
#update_paths ⇒ Object
138 139 140 141 142 143 144 |
# File 'lib/zif/ui/nine_panel_edge.rb', line 138 def update_paths return unless @ready @left_edge.path = @left_edge_path if @left_edge_path @right_edge.path = @right_edge_path if @right_edge_path @transition.path = @transition_path if @transition_path end |


Display Settings
Please notice that the display settings will only change the way you see profiles, others will see it according to their preferences.
Display Mode
| Black | |
| Green | |
Feed Display
class='settings_dmode_bbox_sel'>
Classic
class='settings_dmode_bbox_sel'>
Garden


Robert Barton
(815)-814-0752
<EMAIL_ADDRESS>2922 West Street, Unit 20, Ames IA. 50014
github.com/RobertRBarton
Objective: Aspiring computer engineer with experience in Technical skills, Client relations, and leadership
Seeking/Looking for a full-time position.
Education
Iowa State University | Ames IA | BS in Computer Engineering | GPA: 3.00/4.00 | Graduating July 2021
Crystal Lake South High School | Crystal Lake IL | GPA: 3.00/4.00 | Graduated 2017
Computer Skills
● Google Drive
● Java
● C
● Linux
●
HTML
● Microsoft Word
● Microsoft Excel
● Git
● Assembly
●
JavaScript
Experience
ISU senior design (2020-2021)
● Worked in a team-focused environment
● Worked with different skill sets and specialties on a coordinated goal
● Updated client and mentor regularly on progress, upcoming challenges, and open decisions
● Explained complex technical concepts with pros and cons for a non-technical client
● Managed competing priorities between the class, our client, and personal responsibilities
Theater Tech. Crew (2014-2017, 2019)
● Led teams to completion on a fixed deadline
● Took basic concepts and expanded them into fully detailed designs
● Adapted to changing demands
Voluntary positions
Boy Scouts of America (2005-2016) - Eagle Scout, Order of the arrow
● Held leadership positions such as Senior Patrol Leader and Patrol Leader
● Worked above and beyond requirements
Lakeside Festival Volunteer (2014-2019)
● Provided quality customer service to potentially disgruntled customers
● Handled fluctuating activity levels including large rushes of people
Guild of Boardgamers and Roleplayers(2018-) - President(2018-2020)
● Maintained weekly announcements
● Made decisions for the good of the group over myself


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If you are here because of my CV or coverletter, you might be interested in my portfolio.
Click the button below to view my projects or alternatively, view my skills.
I am a Masters student recently graduated in ”Information and Communication Engineering” course at TU Darmstadt,Germany. I have a final grade of 1.78 in my Masters with a Thesis focusing on Analog CMOS design. Since I have finished my degree, I am currently looking for new opportunities and am available immediately. I have a varied hardware/ software development experience, I enjoy coding and solving difficult challenges.
You can download pdf versions of my CV from the Downloads bar on the top Menu. For questions or feedback, feel free to contact me using Contacts page (Linkedin preferred).
M.Sc in Information and Communication Engineering, 2016 - 2018
Technische Universität Darmstadt, Germany
BE in Electronics and Communication Engineering, 2009 - 2013
Visvesvaraya Technological University, India
Skills and Tools that I have learned and used
Programming language used: Python, C Tools Used: Eclipce CDT, Eagle, STM CubeMX, QT Designer
Responsibilities include:
Programming language used: Python
Responsibilities include:
Worked as a contractor from Tessolve Semiconductors, India
Development of test environment for each device
Co-ordinate with ATE Engineers to ensure valid test and characterization
Develop new techniques to streamline characterization process
Python application that can generate job application coverletters based on templates. PDF (using latex) or text can be compiled. Each project can also be saved for reference later or further editing. Visit github link for more details.
I wrote this python program as a solver for a game of cows and bulls which broke out between friends during a particularly boring train ride. The Wrapper GUI is written in PyQt and designed using QT designer. All processing is done in python.
This thesis details the design and implementation of a digitally controllable sine wave oscillator which can generate frequencies in the range of 0.7 to 2.7 GHz with an output power of -20 dBm across 50 Ω load.
The purpose of this lab is to implement a THUMB processor with multiple pipeline stages that executes the given C-programs assembled for the ARM THUMB instruction set in Verilog. This processor features a 5 stage pipeline,hazard detection and dataforwarding.The CPU runs at a maximum frequency of 2.857 GHz.


{% extends "base.html" %} {% set page_title = "All Scores" %} {% block title %}{{ year }} | {{ page_title }} | Shows{% endblock %} {% block content %}
This chart displays all of the panelist scores for each regular show; thus, excluding Best Ofs and Repeat shows.
{% else %}No scoring data is currently available for {{ year }}.
{% endif %} {% endblock %}


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LOST IN SPACE Reviewed by Jamie Peck
In 2058, Earth is sustaining itself by branching out into the cosmos, and one family is selected to play a key role in the colonization process. They are the Robinsons -- Professor John (William Hurt), his wife Maureen (Mimi Rogers) and their children Judy (Heather Graham), Penny (Lacey Chabert) and Will (Jack Johnson) -- and the intended plan is for them, along with gung-ho pilot Major Don West (Matt LeBlanc), to board the spacecraft Jupiter 2 and make a many-year journey to the distant planet Alpha Prime. Once there, the crew will establish some sort of portal that will allow Earthlings to make the jump to Alpha Prime in no time. But thanks to villainous saboteur and stowaway Dr. Smith (Gary Oldman) and his Global Sedition cohorts, things don't quite go so smoothly. Around a half-day into the flight, the Jupiter 2 is thrown off course. When everyone comes to, they're in a foreign place in an unspecified time, and must find their way back home or remain lost in space forever.
In patches, "Lost in Space" is as glibly fun as a video game. Director Stephen Hopkins (that awful killer-lion flick "The Ghost and the Darkness") brings the major action sequences, surprisingly few though they are, to giddy, palpable life. Two extended bits stand out from the eventual blur: the initial siege on the Jupiter 2 by the nameless Robot programmed to protect and aid the Robinsons, and the search through a creepy ghost ship as the movie nears its midsection. That Robot (yes, he gets to say the immortal line, "Danger, Will Robinson! Danger!"), by the way, is a far better way to entertain the family audiences than the computer-generated Blawp, a cuddly, Gizmo-esque creature the Robinsons pick up on their trek. The Blawp doesn't even look like it's sharing the same scenes with the human actors, but most of the other special effects work nicely, especially the movie's sleek sets.
The interesting ensemble cast is partially ill-used. Oldman always makes a good bad guy, and his "Lost in Space" work makes one wish that the movie hadn't cut to some special effect every time his Dr. Smith threatens to become a complex personality. On the plus side, Hurt and Johnson have a realistic father-and-son chemistry.  Mimi Rogers and Heather Graham (Rollergirl from "Boogie Nights"), lovely and talented though they are, are trotted out whenever a reaction shot is needed; Graham's sexual flirtation with LeBlanc is never developed and largely feels like wasted time.
"Lost in Space" was written by Akiva Goldsman, the man behind the script for the very underrated (and surely I can't be the only one to think so) "Batman & Robin." He's toned down the series' high camp factor in place of a dark, more sinister edge, which serves the first 60 minutes of the movie well. But "Lost in Space"'s murky tone and visuals just don't mesh with part two's elongated family therapy session. This year's first official summer release is a botched one, with too many distractions and flaws to even rank as pleasing eye-candy -- a big no-no as far as seasonal movies are concerned. As Robot might say, "Danger, moviegoers! Danger!"
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In this project, you will use the tools you learned about in the lesson to identify lane lines on the road. You can develop your pipeline on a series of individual images, and later apply the result to a video stream (really just a series of images). Check out the video clip "raw-lines-example.mp4" (also contained in this repository) to see what the output should look like after using the helper functions below.
Once you have a result that looks roughly like "raw-lines-example.mp4", you'll need to get creative and try to average and/or extrapolate the line segments you've detected to map out the full extent of the lane lines. You can see an example of the result you're going for in the video "P1_example.mp4". Ultimately, you would like to draw just one line for the left side of the lane, and one for the right.
In addition to implementing code, there is a brief writeup to complete. The writeup should be completed in a separate file, which can be either a markdown file or a pdf document. There is a write up template that can be used to guide the writing process. Completing both the code in the Ipython notebook and the writeup template will cover all of the rubric points for this project.
Let's have a look at our first image called 'test_images/solidWhiteRight.jpg'. Run the 2 cells below (hit Shift-Enter or the "play" button above) to display the image.
Note: If, at any point, you encounter frozen display windows or other confounding issues, you can always start again with a clean slate by going to the "Kernel" menu above and selecting "Restart & Clear Output".
The tools you have are color selection, region of interest selection, grayscaling, Gaussian smoothing, Canny Edge Detection and Hough Tranform line detection. You are also free to explore and try other techniques that were not presented in the lesson. Your goal is piece together a pipeline to detect the line segments in the image, then average/extrapolate them and draw them onto the image for display (as below). Once you have a working pipeline, try it out on the video stream below.
Run the cell below to import some packages. If you get an import error
for a package you've already installed, try changing your kernel (select the Kernel menu above --> Change Kernel). Still have problems? Try relaunching Jupyter Notebook from the terminal prompt. Also, consult the forums for more troubleshooting tips.
#importing some useful packages
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
import cv2
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
#reading in an image
image = mpimg.imread('test_images/solidWhiteRight.jpg')
#printing out some stats and plotting
print('This image is:', type(image), 'with dimensions:', image.shape)
plt.imshow(image)
# if you wanted to show a single color channel image called 'gray', for example, call as plt.imshow(gray, cmap='gray')
Some OpenCV functions (beyond those introduced in the lesson) that might be useful for this project are:
cv2.inRange()
for color selection
cv2.fillPoly()
for regions selection
cv2.line()
to draw lines on an image given endpoints
cv2.addWeighted()
to coadd / overlay two images
cv2.cvtColor()
to grayscale or change color
cv2.imwrite()
to output images to file
cv2.bitwise_and()
to apply a mask to an image
Check out the OpenCV documentation to learn about these and discover even more awesome functionality!
Below are some helper functions to help get you started. They should look familiar from the lesson!
import math
def grayscale(img):
"""Applies the Grayscale transform
This will return an image with only one color channel
but NOTE: to see the returned image as grayscale
(assuming your grayscaled image is called 'gray')
you should call plt.imshow(gray, cmap='gray')"""
return cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
# Or use BGR2GRAY if you read an image with cv2.imread()
# return cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
def canny(img, low_threshold, high_threshold):
"""Applies the Canny transform"""
return cv2.Canny(img, low_threshold, high_threshold)
def gaussian_blur(img, kernel_size):
"""Applies a Gaussian Noise kernel"""
return cv2.GaussianBlur(img, (kernel_size, kernel_size), 0)
def region_of_interest(img, vertices):
"""
Applies an image mask.
Only keeps the region of the image defined by the polygon
formed from `vertices`. The rest of the image is set to black.
"""
#defining a blank mask to start with
mask = np.zeros_like(img)
#defining a 3 channel or 1 channel color to fill the mask with depending on the input image
if len(img.shape) > 2:
channel_count = img.shape[2] # i.e. 3 or 4 depending on your image
ignore_mask_color = (255,) * channel_count
else:
ignore_mask_color = 255
#filling pixels inside the polygon defined by "vertices" with the fill color
cv2.fillPoly(mask, vertices, ignore_mask_color)
#returning the image only where mask pixels are nonzero
masked_image = cv2.bitwise_and(img, mask)
return masked_image
def draw_lines(img, lines, color=[255, 0, 0], thickness=5):
"""
NOTE: this is the function you might want to use as a starting point once you want to
average/extrapolate the line segments you detect to map out the full
extent of the lane (going from the result shown in raw-lines-example.mp4
to that shown in P1_example.mp4).
Think about things like separating line segments by their
slope ((y2-y1)/(x2-x1)) to decide which segments are part of the left
line vs. the right line. Then, you can average the position of each of
the lines and extrapolate to the top and bottom of the lane.
This function draws `lines` with `color` and `thickness`.
Lines are drawn on the image inplace (mutates the image).
If you want to make the lines semi-transparent, think about combining
this function with the weighted_img() function below
"""
for line in lines:
for x1,y1,x2,y2 in line:
cv2.line(img, (x1, y1), (x2, y2), color, thickness)
def hough_lines(img, rho, theta, threshold, min_line_len, max_line_gap):
"""
`img` should be the output of a Canny transform.
Returns an image with hough lines drawn.
"""
lines = cv2.HoughLinesP(img, rho, theta, threshold, np.array([]), minLineLength=min_line_len,
maxLineGap=max_line_gap)
line_img = np.zeros((img.shape[0], img.shape[1], 3), dtype=np.uint8)
draw_lines(line_img, lines)
return line_img
# Python 3 has support for cool math symbols.
def weighted_img(img, initial_img, α=0.8, β=1., λ=0.):
"""
`img` is the output of the hough_lines(), An image with lines drawn on it.
Should be a blank image (all black) with lines drawn on it.
`initial_img` should be the image before any processing.
The result image is computed as follows:
initial_img * α + img * β + λ
NOTE: initial_img and img must be the same shape!
"""
return cv2.addWeighted(initial_img, α, img, β, λ)
Build your pipeline to work on the images in the directory "test_images"
You should make sure your pipeline works well on these images before you try the videos.
import os
os.listdir("test_images/")
Build the pipeline and run your solution on all test_images. Make copies into the test_images_output
directory, and you can use the images in your writeup report.
Try tuning the various parameters, especially the low and high Canny thresholds as well as the Hough lines parameters.
You know what's cooler than drawing lanes over images? Drawing lanes over video!
We can test our solution on two provided videos:
solidWhiteRight.mp4
solidYellowLeft.mp4
Note: if you get an import error when you run the next cell, try changing your kernel (select the Kernel menu above --> Change Kernel). Still have problems? Try relaunching Jupyter Notebook from the terminal prompt. Also, consult the forums for more troubleshooting tips.
If you get an error that looks like this:
NeedDownloadError: Need ffmpeg exe.
You can download it by calling:
imageio.plugins.ffmpeg.download()
Follow the instructions in the error message and check out this forum post for more troubleshooting tips across operating systems.
def showimg(subplace, title, _img):
plt.subplot(*subplace)
plt.title(title)
if len(_img.shape) == 3:
plt.imshow(_img)
else:
plt.imshow(_img, cmap='gray')
# TODO: Build your pipeline that will draw lane lines on the test_images
# then save them to the test_images directory.
image = mpimg.imread('test_images/solidYellowCurve.jpg')
height = image.shape[0]
width = image.shape[1]
interest = np.array([[width*1/16, height], [width*7/16, height*5/8],
[width*5/8, height*5/8], [width, height]], dtype=np.int32)
mask = np.zeros_like(image)
roi = cv2.fillPoly(mask, [interest], (255,)*image.shape[2])
roi = weighted_img(image, roi, 0.5, 0.5)
hsv = cv2.cvtColor(image, cv2.COLOR_RGB2HSV)
yellow = cv2.inRange(hsv, (20, 80, 80), (25, 255, 255))
white = cv2.inRange(hsv, (0, 0, 180), (255, 25, 255))
gray = cv2.bitwise_or(yellow, white)
edges = canny(gray, 64, 192)
roi2 = region_of_interest(edges, [interest])
lines = hough_lines(roi2, 1, np.pi/180, 32, 1, 200)
result = weighted_img(image, lines, 0.9, 0.9)
plt.figure(figsize=[16, 10])
for i, imgname in enumerate(['image', 'yellow', 'white', 'gray', 'edges', 'roi', 'roi2', 'lines', 'result']):
showimg((3, 3, i+1), imgname, eval(imgname))
# Import everything needed to edit/save/watch video clips
from moviepy.editor import VideoFileClip
from IPython.display import HTML
def process_image(image):
# NOTE: The output you return should be a color image (3 channel) for processing video below
# TODO: put your pipeline here,
# you should return the final output (image where lines are drawn on lanes)
global height
height = image.shape[0]
width = image.shape[1]
interest = np.array([[width*1/16, height], [width*7/16, height*5/8],
[width*5/8, height*5/8], [width, height]], dtype=np.int32)
hsv = cv2.cvtColor(image, cv2.COLOR_RGB2HSV)
yellow = cv2.inRange(hsv, (20, 80, 80), (25, 255, 255))
white = cv2.inRange(hsv, (0, 0, 180), (255, 25, 255))
gray = cv2.bitwise_or(yellow, white)
edges = canny(gray, 128, 192)
roi = region_of_interest(edges, [interest])
lines = hough_lines(roi, 1, np.pi/180, 32, 1, 200)
result = weighted_img(image, lines, 0.9, 0.9)
return result
Let's try the one with the solid white lane on the right first ...
!mkdir test_videos_output
white_output = 'test_videos_output/solidWhiteRight.mp4'
## To speed up the testing process you may want to try your pipeline on a shorter subclip of the video
## To do so add .subclip(start_second,end_second) to the end of the line below
## Where start_second and end_second are integer values representing the start and end of the subclip
## You may also uncomment the following line for a subclip of the first 5 seconds
# clip1 = VideoFileClip("test_videos/solidWhiteRight.mp4").subclip(0,5)
clip1 = VideoFileClip("test_videos/solidWhiteRight.mp4")
white_clip = clip1.fl_image(process_image) #NOTE: this function expects color images!!
%time white_clip.write_videofile(white_output, audio=False)
Play the video inline, or if you prefer find the video in your filesystem (should be in the same directory) and play it in your video player of choice.
HTML("""
<video width="960" height="540" controls>
<source src="{0}">
</video>
""".format(white_output))
At this point, if you were successful with making the pipeline and tuning parameters, you probably have the Hough line segments drawn onto the road, but what about identifying the full extent of the lane and marking it clearly as in the example video (P1_example.mp4)? Think about defining a line to run the full length of the visible lane based on the line segments you identified with the Hough Transform. As mentioned previously, try to average and/or extrapolate the line segments you've detected to map out the full extent of the lane lines. You can see an example of the result you're going for in the video "P1_example.mp4".
 The new output should draw a single, solid line over the left lane line and a single, solid line over the right lane line. The lines should start from the bottom of the image and extend out to the top of the region of interest.
Now for the one with the solid yellow lane on the left. This one's more tricky!
class Smooth:
def __init__(self, windowsize=5):
self.window_size = windowsize
self.data = np.zeros((self.window_size, 2, 4), dtype=np.float32)
self.index = 0
def __iadd__(self, x):
if self.index == 0:
self.data[:] = x
self.data[self.index % self.window_size] = x
self.index += 1
return self
def draw_lines(img, lines, color=[255, 0, 0], thickness=5):
global smoother, height
yhalf = height*5/8
left = []
right = []
for line in lines:
for x1,y1,x2,y2 in line:
if abs(y1-y2) < 20 or x1 == x2:
continue
k = float(y2 - y1)/(x2 - x1)
extendx1 = x1 + (height - y1)/k # extend to height
extendx2 = x1 + (yhalf - y1)/k # extend to half
if k < 0:
left.append((extendx1, height, extendx2, yhalf))
else:
right.append((extendx1, height, extendx2, yhalf))
try:
smoother += np.array([np.mean(left, axis=0), np.mean(right, axis=0)])
except:
pass
for data in smoother.data.mean(axis=0):
x1, y1, x2, y2 = data.astype(int)
cv2.line(img, (x1, y1), (x2, y2), color, thickness)
smoother = Smooth()
yellow_output = 'test_videos_output/solidYellowLeft.mp4'
## To speed up the testing process you may want to try your pipeline on a shorter subclip of the video
## To do so add .subclip(start_second,end_second) to the end of the line below
## Where start_second and end_second are integer values representing the start and end of the subclip
## You may also uncomment the following line for a subclip of the first 5 seconds
# clip2 = VideoFileClip('test_videos/solidYellowLeft.mp4').subclip(23,27)
clip2 = VideoFileClip('test_videos/solidYellowLeft.mp4')
yellow_clip = clip2.fl_image(process_image)
%time yellow_clip.write_videofile(yellow_output, audio=False)
HTML("""
<video width="960" height="540" controls>
<source src="{0}">
</video>
""".format(yellow_output))
Try your lane finding pipeline on the video below. Does it still work? Can you figure out a way to make it more robust? If you're up for the challenge, modify your pipeline so it works with this video and submit it along with the rest of your project!
smoother = Smooth()
challenge_output = 'test_videos_output/challenge.mp4'
## To speed up the testing process you may want to try your pipeline on a shorter subclip of the video
## To do so add .subclip(start_second,end_second) to the end of the line below
## Where start_second and end_second are integer values representing the start and end of the subclip
## You may also uncomment the following line for a subclip of the first 5 seconds
# clip3 = VideoFileClip('test_videos/challenge.mp4').subclip(3,8)
clip3 = VideoFileClip('test_videos/challenge.mp4')
challenge_clip = clip3.fl_image(process_image)
%time challenge_clip.write_videofile(challenge_output, audio=False)
HTML("""
<video width="960" height="540" controls>
<source src="{0}">
</video>
""".format(challenge_output))


+++ title = "Miguel the Mexican" slug = "miguel-the-mexican" date = 2007-12-31T14:00:00+10:00 tags = ["fellow-travellers", "eccentric-encounters"] locations = ["spain/madrid"] draft = false summary = """
Miguel is a white-skinned, gringo-looking bloke from Cuidad Juarez — that most infamous of north Mexican cities — which lies on the border with Texas. Miguel speaks perfect English, and he's been living and working in the Netherlands for the past few years. He's another one of the many great people who's staying here in Madrid, at Cat's, to celebrate the New Year: this evening, he partied well into the morning, and didn't go home until the sun was up.
""" +++Miguel is a white-skinned, gringo-looking bloke from Cuidad Juarez — that most infamous of north Mexican cities — which lies on the border with Texas. Miguel speaks perfect English, and he's been living and working in the Netherlands for the past few years. He's another one of the many great people who's staying here in Madrid, at Cat's, to celebrate the New Year: this evening, he partied well into the morning, and didn't go home until the sun was up.
{{< galleryphoto "2007-12-31-14-00-00--miguel-recovering-from-the-new-year.jpg" >}}


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