Components
Showerloop Kit Component List 2018Production
Made in Finland - for the most part. We've been doing our best to source materials as locally as possible. Sadly it's harder and harder to producers here in Finland or if we can it's just too expensive for us until we can produce more component inhouse.
The main components of the filter and electronics are, however, made here in Finland with the help of tools and expertise from Aalto Fablab in Helsinki, Varia vocational school & AIRO Island Ry.
- Main Features
-
Showerloop can be be integrated into existing showers
Water can be diverted to a storage/ grey water tank
Fully 12 V DC off-grid system is possible - Dimensions
-
23 cm x 45 cm x 150 cm*
35 kg
( + 10 kg packaging ) - Filtrate
-
Nilsilän Quartz Sand
Activated Carbon
Geotextile - Fasteners
-
Varios screws
3d printed valve hoder
3d printer hose fasters
3d printed filter fastener
- Pump
-
12 V DC self-priming membrane pump
The pump can be placed almost anywhere and can run dry, pumps up to 3.3 bar. - Piping & Valves
-
21 mm transparent hose
Brass T's, 90 bends and quick connectors
Plastic quick connectors for maintenance - Filters
-
10mm CNC milled lids
200mm transparent acrylic tube
3 mm laser cut spacers
M8 stainless steel metal rods - *Smart Shower & Sensors
- In the future
- Heater & Thermostat
-
-3 kW resistive heater
NPT 10k Temperature probe
and Thermostat
Solid State Optocouple
Brass piping for thermostat - UVIR
-
240V AC [26W]
[ 7 cm diam. x 55 - Switch board & power housing
-
IP67 Waterproof containers for electrical devices
8- channel relay module
Ground Fault Circuit Interruptor
Fuses 10A and 2A
12V DC Motor Controller PWM
230V AC - 12V DC Transformer [150W]


| 3 |
Gertrude's Hospital |
@gertrudes |
Gertrude's Children's Hospital is the Largest Paediatric Hospital in East and Central Africa. We give quality care and service to children since 1947.
Based in Muthaiga and spread out to various outpatient clinics including in Mombasa, our services range is wide and includes giving specialist care to children as we aim to walk with your child to have a good and healthy life.
Our services also include laboratory, dental, pharmacy, radiology, well-baby services as we aim to participate actively in achieving Millennium Development Goals and reduction in mortality in East and Central Africa. |
Nairobi |
P.O. Box 123 |
View |


I've decided to wait until I was back to baseline to right this report so I can be as accurate as possible in it's description. First a little about me. I'm 20 years old and I'm a regular weed smoker and I also enjoy other drugs as well, to an extent. My father recently had surgery and was given a large prescription for Oxycodone, of which he gave me 3. That is basically how this idea came about.
I was sitting in my room one night with a friend and we were listening to music. I am an avid audiophile with a very expensive stereo capable of all formats including SACD, DVD-Audio/Video and all the standards like vinyl and CD. We decided that we should get stoned and listen to Pink Floyd's Dark side of the Moon on SACD (Which is in 5.1 Totally Amazing). She had brought a bottle of Bacardi 151 along that night as well which we had been 'sipping'.
I remembered then that I had those 3 pills that my dad had given to me. I told my freind and she agreed that it would be a cool thing to try. We proceeded to smoke and vaporize about 3 grams of some pretty good pot that I had procured. Directly after we had finished that (about an hour later) I proceeded to take the 3 pills with a shot of 151 for a drink. All in all that was pretty nasty considering I bit one of the pils by accident and it was nasty.
This is when the night started to get really good. About 20 minutes after taking the pills I began to feel very relaxed. I was quite stoned at this point having smoked a good amount in one sitting for 2 poeple. To me the Oxycodone seemed to greatly intensify the high from the pot. Overwhelming feelings of melting into the chair and comlete satisfaction were all around.
I found myself not wanting to do any more drugs. I was completely satisfied. By this point, about 3 hours after the first shot and an hour after smoking, I was on cloud nine. I sat in a darkenend room listening to all kinds of music and really enjoying it. My friend was also feeling very good as well and we enjoyed the night for what seemed like 5 hours, but it was only about 3.
My advice on this combo is get some good music and a damn good chair. This is now one of my favorite combo's ever (Even more so than Acid and Ecstacy). It is completely euphoric, relaxing, and satisfying. I recomend only doing this about once a week if you can obtain the Oxycodone easily as it is addictive. I, however have not noticed any physical addiction over a several month period of once a week usage, and about the same dose as listed above.
Izlsnizzt
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


{% extends "base.html" %}
{% load breadcrumbs %}
{% block title %}Help{% endblock %}
{% block content %}
Help
OFELIA provides two sources of help:
- OFELIA User Documentation: This wiki gathers all the required information about the facility and how to work with the OFELIA Control Framework from an experimenter point of view.
- OFELIA HelpDesk: meant to provide experimenters a way to report and open trouble tickets if they found themselves in a situation where the OFELIA User Documentation is not enought.
- Users Discuss Mailing List: This mailing list goal is to trigger discussions between the users and the Island Managers regarding any conflict, probem or doubt that could not be solved with the Documentation. All the OFELIA users are automatically register to this list.
{% endblock %}


git merge-into
Merge one branch into another branch.
Part of `git-extras`.
More information: home page
- Merge a source branch into a specific destination branch:
git merge-into source_branch destination_branch
- Merge current branch into a specific destination branch:
git merge-into destination_branch


Google's home page is all about simplicity and no distractions. They want the user to be able to immediately focus their attention on searching. Their clean design does just that. After you search they can then provide you with relevant content and ads.
Chewy's home page is about promoting why customers should shop with them. I think their challenge is that they are not a big brand name company and they need to highlight their key benefits. I think they do that well.
I think Amazon's home page is trying to inform consumers about special promotions and products based on your browsing history to make it more personal. Their promotions are also relevant based on the day, season, current events, etc. I think their challenge is that they offer so many products, how do they showcase them and make it easy for their users to find what they are looking for without making it overwhelming.


DAGON Beverages Co., Ltd., Yangon, MYANMAR, was established in early 1998 and it is now one of the largest breweries in Myanmar as well as in Southeast Asia. Its first product, DAGON Lager Beer, was brewed and launched into the market in 1998 and then product line extensions and brand extensions have been continuing for more types of beers, liquors, and carbonated soft drinks under the brand name “DAGON”.
Building on our multi-brand portfolio strategy which is needed to complement the growing beer market in Myanmar, DAGON Beverages introduced DAGON Extra Strong Beer (Alc. 8% vol.) in 2005 DAGON Super Beer (Alc. 7.2% vol.) in 2014, and DAGON Light Lager Beer (Alc. 4.2% vol.) in 2016. Each type of beers has its unique characters for particular targeted market segments. For the case of product extension, DAGON Beverages successfully launched DAGON Malta Fresh non-alcoholic,(nutritious carbonated malt drink) in 2011, DAGON Rum (Alc. 43% vol., 7 years aging and 3 years aging) in 2011, DAGON Fresh Soda (classic mixer) in 2013, DAGON Fresh Lemon Sparkling (refreshing carbonated soft drink) in 2015, and DAGON Gin (Alc. 38% vol.) in 2015.


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--- layout: default title: Apache Mnemonic • Durable Object Oriented Programming on Hybrid Storage-Class Memory Space overview: true --- if ( Mnemonic.inUse() ) { assert availMemory >= sysMemory; assert DurableObjectModal.takeEffect(); assert serDe.bypass(); assert cache.bypass(); } Durable Object Model Durable Computing Model Durable Memory Service Persist your linked objects without SerDe. Process your linked objects in native code. Abstract storage as memory transparently
Durable Object Model
Durable Computing Model
Durable Memory Service
Persist your linked objects without SerDe.
Process your linked objects in native code.
Abstract storage as memory transparently


The Latest: Sandusky resentenced to same prison term
BELLEFONTE, Pa. (AP) - The Latest on the resentencing of former Penn State assistant football coach Jerry Sandusky (all times local):
2:45 p.m.
Former Penn State assistant football coach Jerry Sandusky has been given the same penalty at his resentencing as before: 30 to 60 years in prison.
Centre County Judge Maureen Skerda sentenced the 75-year-old Sandusky on Friday at the courthouse in Bellefonte (BEL'-fahnt).
Sandusky was convicted of 45 counts of child sexual abuse in 2012 and sentenced to 30 to 60 years.
An appeals court said laws mandating sentence minimums in place at the time of his October 2012 sentencing had since changed.
Sandusky again asserted his innocence Friday. He choked up twice in brief remarks to the judge and told his supporters he loves them.
___
12 p.m.
Former Penn State assistant football coach Jerry Sandusky has arrived at a Pennsylvania courthouse to be resentenced.
The 75-year-old Sandusky smiled as he was escorted into Centre County Court on Friday in Bellefonte (BELL'-font) with his hands handcuffed in front of him and carrying papers.
When a reporter asked him whether he maintains his innocence, he responded with, "absolutely."
Sandusky was convicted of 45 counts of child sexual abuse in 2012 and sentenced to 30 to 60 years.
An appeals court said mandatory minimum sentences had been improperly applied against him.
Court filings in recent weeks indicate that there may be arguments about Sandusky's designation as a sexually violent predator.
___
6:20 a.m.
Former Penn State assistant football coach Jerry Sandusky is expected in a Pennsylvania courtroom to be resentenced after an appeals court said mandatory minimum sentences had been improperly applied against him.
The 75-year-old Sandusky will be resentenced Friday by Judge Maureen Skerda at the county courthouse in Bellefonte.
State Superior Court in February rejected many of Sandusky's arguments but determined the sentencing was flawed.
Sandusky was convicted of 45 counts of child sexual abuse in 2012 and sentenced to 30 to 60 years. It's unclear whether Skerda will issue a significantly different sentence.
Court filings in recent week indicate that there may also be argument about Sandusky's designation as a sexually violent predator.
Copyright 2019 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.


Returns the siblings of the input member, optionally based on selection options.
Syntax
Siblings ( member[, selection [,include_or_exclude]] )
member.Siblings
| Parameter | Description |
|---|---|
|
The member for which to return siblings. |
|
selection |
Optional. This option can be one of the following:
If no selection is made, the default is ALL. |
include_or_exclude |
Optional. This option can be one of the following:
If neither is specified, the default is to include the input member. |
Notes
If the input member is the top level of the dimension, this function returns a set containing the input member.
This function is the same as Children(member.parent).
The member.Siblings syntax returns the same set as Siblings(member), Siblings(member, ALL), or Siblings(member, ALL, INCLUDEMEMBER).
Example
Siblings(Year) returns {Year}.
The following query
SELECT CrossJoin ( Union ( Siblings ([Old Fashioned]), {([Root Beer]), ([Cream Soda])} ), {(Budget), ([Variance])} ) ON COLUMNS from Sample.Basic
returns the grid:
| Old Fashioned | Diet Root Beer | Sasparilla | Birch Beer | Root Beer | Cream Soda | ||||||
| Budget | Variance | Budget | Variance | Budget | Variance | Budget | Variance | Budget | Variance | Budget | Variance |
| 11640 | -4439 | 14730 | -2705 | 5050 | -414 | 4530 | -438 | 35950 | -7996 | 29360 | -3561 |
The following examples are based on a Years – Quarters – Months Time hierarchy.
Siblings([Feb 2000], LEFT, INCLUDEMEMBER)
returns {[Jan 2000], [Feb 2000]}.
Siblings([Feb 2000], RIGHT, EXCLUDEMEMBER)
returns {[Mar 2000]}.
Siblings([Mar 2000], LEFT)
returns {[Jan 2000], [Feb 2000], [Mar 2000]}.
Siblings([May 2000], RIGHT)
returns {[May 2000], [Jun 2000]}.
Siblings([Mar 2000])
OR
[Mar 2000].Siblings
Returns {[Jan 2000], [Feb 2000], [Mar 2000]}.


Celine Dion Reveals Her Surprising Favourite Meal In Sneak Peek Of ‘CBS This Morning’ Interview
by Brent FurdykCeline Dion sat down with Gayle King for an interview to air Thursday morning on “CBS This Morning”, and a sneak of the segment was shared on social media on Wednesday.
In the brief video, the Quebec-born chanteuse plays “Lightning Round”, with King serving up rapid-fire questions that Dion must quickly lob back like tennis balls.
Among the revelations: she’s not much of a TV binge-watcher, but she does enjoy “Young Sheldon”, while she and her kids enjoy films such as “Monsters Inc.” and “Chitty Chitty Bang Bang”.
When King asks Dion to name her favourite meal, things take a bit of a weird turn. At first, she can’t single out any one thing before finally settling on one odd item.
“I love peanut butter so bad,” she admits, launching into a very fast version of the “Peanut Butter Jelly” song.
In addition to peanut butter, she also enjoys “baba ghanoush, hummus and Lebanese food,” although hopefully without any added peanut butter.
Dion also opens up about returning to the road for her first tour in more than a decade, telling King, “Every time you do it, you have to do it like it’s the first time.”
You can catch the entire interview on Thursday’s edition of “CBS This Morning”.


It does not matter if you are using your laptop or your phone, you can access to your user to start saving your songs!
Newly improved, and full of great utility classes, Bootstrap 4 is leading the way in mobile responsive web development! All of the themes on Start Bootstrap are now using Bootstrap 4!
"I just wanted to save a song I was listening to, but not using any standard app to forget about it after a while."
"I'm now able to save my wanna-hear songs to listen later in a simple way!"


About Me
WORK EXPERIENCE
Tessact
Machine Learning Intern
Made a machine learning model from scratch for products recommendation using collaborative filtering algorithm. This model on evaluation had a mean average precision value of 0.86 and mean average recall value of 0.77. This model on deployment led to 23 percent increase in revenue for the company.
OpenAI
Open Source Developer
Worked on bugs and added additional features with unit tests and documentation for reinforcement learning environments.
Towards Data Science
Technical Writer
Wrote blogs for the largest Data Science publication on Medium, Towards Data Science. My posts have garnered over 800K views in all covering 50 blogs related to machine learning/data science.


WITNESS LIST Government Reform Committee April 30, 2003-8:00A HB 2 For: Pearson, Dan (Self and NUCOR Steel) Against: Castillo, Yvonne R. (Texas Society of Architects) Hanna, Mark J. (Texas Society of Professional Surveyors) Haragan, Kelly (Public Citizen) Levy, Rick (Texas AFL-CIO) O'Connor, Caroline (Texas State Employees Union) Rountree, Meredith (ACLU of Texas, Prison and Jail Accountability Project) Simpson, Dee (Correction Officers, TDCJ Employees who are members of AFSCME) Smith, Patrick (Self and Texas Society of Professional Surveyors) On: Bailey Taylor, Shelia (State Office of Administrative Hearings) Beran, Douglas A (Texas State Board of Barber Examiners) Biles, Susan (Texas State Comptroller) Burnett, Dale (Structural Pest Control (as Exec. Dir)) Currah, Tom (Comptroller of Public Accts) DiTucci, Frank (The Texas Polygraph Examiners Board) Flack, Teri E. (Texas Higher Education Coordinating Board) Ford, Ruthie (Comptroller of Public Accounts) Francis, Brian (Texas Department of Licensing and Regulation) Gilman, Tony (Texas Office of State-Federal Relations' Executive Director, Mr. Ed Perez) Kuntz, Jr., William H. (Texas Department of Licensing and Regulation) Lanier, Dustin (Office of the Governor) McCabe, Martha (State Auditor's Office) McLaughlin, Laure (Comptroller of Public Accounts) Minick, Stephen (TCEQ) Moore, John (Texas Workforce Commission) Parsley, Cathleen (State Office of Administrative Hearings) Smith, Sandy (Texas Board of Professional Land Surveying) Thomson, C.B. (Texas Board of Professional Land Surveying) Williams, Cathy (TX Dept. of Transportation) Wooten, Tim (TX Comptroller)


@Autonomous(name="Basic Autonomous Frame")
@Disabled
public abstract class autonomousFrame
extends com.qualcomm.robotcore.eventloop.opmode.LinearOpMode
Contains all the common variables and functions in autonomous programs so that they are neat and organized
| Constructor and Description |
|---|
autonomousFrame() |
| Modifier and Type | Method and Description |
|---|---|
void |
backward(double distance,
double speed)
Moves robot backward
|
void |
descend()
Lowers a hanging robot by using the winch
|
void |
DetectLocationWebcam()
**Experimental, Not Tested
|
void |
encoderDrive(double driveFB,
double turnDegrees,
double speed,
boolean turning,
boolean timerRequested,
int timerRequestTime)
**Not used directly by autonomous programs**
|
void |
encoderDriveBasic(double leftFrontInches,
double rightFrontInches,
double leftBackInches,
double rightBackInches,
double speed)
Deprecated.
|
void |
expelMarker()
Expels the team marker to the depot by spinning the intake wheels
|
void |
forward(double distance,
double speed)
Moves robot forward
|
void |
initializeRobot()
Maps motors, servos, and sensors to their names in the robot config file
|
void |
initializeTensorFlow()
Creates tensor flow object for detecting minerals and initializes it
|
void |
left(double degrees,
double speed)
Turns robot left
|
void |
moveIntake(int newAngleMotorTarget)
Moves the robot's intake
|
void |
MoveToLocationWebcam(int desiredX,
int desiredY,
int desiredHeading)
**Experimental, Not Tested
|
void |
moveWinch(double power,
long time)
This is a simple function that controls the movement of the winch motor.
|
void |
right(double degrees,
double speed)
Turns robot right
|
void |
samplingCrater(boolean primary)
Does sampling for the crater side of the lander
|
void |
samplingDepot(boolean primary)
Does sampling for the depot side of the lander
|
void |
scanMinerals()
Scans the minerals and stores the location of the gold mineral
|
void |
timedBackward(double distance,
double speed,
int timeMilliseconds)
Moves robot backward for a certain amount of time
|
void |
timedForward(double distance,
double speed,
int timeMilliseconds)
Moves robot forward for a certain amount of time
|
void |
versionPrint()
Prints version number of autonomous program
|
void |
vuforiaNavigation(int camera_forward_displacement,
int camera_vertical_displacement,
int camera_left_displacement)
Vuforia Navigation **Experimental, Not Tested, not for webcam
|
idle, init_loop, init, internalPostInitLoop, internalPostLoop, isStarted, isStopRequested, loop, opModeIsActive, runOpMode, sleep, start, stop, waitForNextHardwareCycle, waitForStart, waitOneFullHardwareCycle
public void versionPrint()
public void initializeRobot()
Sets chassis specific motor direction and 0 power behavior
public void initializeTensorFlow()
public void encoderDrive(double driveFB, double turnDegrees, double speed, boolean turning, boolean timerRequested, int timerRequestTime)
See forward(double, double), backward(double, double), left(double, double), and right(double, double)
Allows robot to be programmed to go forward, backward a certain amount of inches
Allows robot to be programmed to turn left and right a certain number of degrees
driveFB
- Inches to move forward or backward (forward: +, backward: -)turnDegrees
- Degrees to turn left or right (right: +, left: -)speed
- Speed of robot (min: 0, max: 1)turning
- Whether the robot is currently turningtimerRequested
- Whether this move is timedtimerRequestTime
- If move is timed, length of move is millisecondspublic void forward(double distance, double speed)
distance
- Inches forwardspeed
- Speed of robotpublic void timedForward(double distance, double speed, int timeMilliseconds)
distance
- Inches forwardspeed
- Speed of robottimeMilliseconds
- Time in milliseconds of forward movepublic void backward(double distance, double speed)
distance
- Inches backwardspeed
- Speed of robotpublic void timedBackward(double distance, double speed, int timeMilliseconds)
distance
- Inches forwardspeed
- Speed of robottimeMilliseconds
- Time in milliseconds of backward movepublic void left(double degrees, double speed)
degrees
- Degrees leftspeed
- Speed of robotpublic void right(double degrees, double speed)
degrees
- Degrees rightspeed
- Speed of robot@Deprecated public void encoderDriveBasic(double leftFrontInches, double rightFrontInches, double leftBackInches, double rightBackInches, double speed)
Replace by encoderDrive(double, double, double, boolean, boolean, int)
Allows each individual motor to be programmed to go forward (+), backward (-) a certain amount of inches
leftFrontInches
- Inches to move motorLeftFrontrightFrontInches
- Inches to move motorRightFrontleftBackInches
- Inches to move motorLeftBackrightBackInches
- Inches to move motorRightBackspeed
- Speed of robot (min: 0, max: 1)public void moveIntake(int newAngleMotorTarget)
newAngleMotorTarget
- the encoder value to ove the intake topublic void expelMarker()
public void moveWinch(double power, long time)
This is a simple function that controls the movement of the winch motor.
power
- This is the power given to the winch motor.
Negative power means that the winch will retract, lifting the robot.
Positive power means that the winch will lower, lowering the robot.time
- This is the time, in milliseconds, that the motor needs to spin.public void descend()
public void scanMinerals()
public void samplingDepot(boolean primary)
primary
- whether the primary program is runningpublic void samplingCrater(boolean primary)
primary
- whether the primary program is runningpublic void vuforiaNavigation(int camera_forward_displacement, int camera_vertical_displacement, int camera_left_displacement)
This contains some of the Vuforia initialization code. The function also calculates the location of the robot based on the the VuMarks detected.
camera_forward_displacement
- This is the forward location of the phone relative to the center of the robot.camera_vertical_displacement
- This is the vertical location of the phone relative to the center of the robot.camera_left_displacement
- This is the left location of the phone relative to the center of the robot.public void DetectLocationWebcam()
public void MoveToLocationWebcam(int desiredX, int desiredY, int desiredHeading)


| Home | Trees | Indices | Help |
|
|---|
|
|
exception classes
See COPYING for license information.
| Classes | |
|
Error Base class for all errors and exceptions |
|
|
ResponseError Raised when the remote service returns an error. |
|
|
NoSuchContainer Raised on a non-existent Container. |
|
|
NoSuchObject Raised on a non-existent Object. |
|
|
ContainerNotEmpty Raised when attempting to delete a Container that still contains Objects. |
|
|
ContainerExists Raised when attempting to create a Container when the container already exists. |
|
|
InvalidContainerName Raised for invalid storage container names. |
|
|
InvalidObjectName Raised for invalid storage object names. |
|
|
InvalidMetaName Raised for invalid metadata names. |
|
|
InvalidMetaValue Raised for invalid metadata value. |
|
|
InvalidUrl Not a valid url for use with this software. |
|
|
InvalidObjectSize Not a valid storage_object size attribute. |
|
|
IncompleteSend Raised when there is a insufficient amount of data to send. |
|
|
ContainerNotPublic Raised when public features of a non-public container are accessed. |
|
|
CDNNotEnabled CDN is not enabled for this account. |
|
|
AuthenticationFailed Raised on a failure to authenticate. |
|
|
AuthenticationError Raised when an unspecified authentication error has occurred. |
| Variables | |
__package__ = None
|
| Home | Trees | Indices | Help |
|
|---|
| Generated by Epydoc 3.0.1 on Fri Jun 1 13:14:12 2012 | http://epydoc.sourceforge.net |


--- title: Red Butte Photo of the Day September 1, 2009 date: 2009-09-01 00:00:00 -06:00 categories: - whats-blooming layout: post blog-banner: whats-blooming-now-fall.jpg post-date: September 1, 2009 post-time: 8:11 AM blog-image: wbn-default.jpg ---
This compact cultivar produces dark purple-blue flowers that open the earliest out of all the Bluebeard cultivars. The flowers open late in the year on new growth.
Bluebeards do best when planted in average to rich, well drained soils in full sun to light shade. Treat this shrub as an herbaceous perennial and cut it back in late winter or early spring. Hardy to USDA Zone 5 and often self sow and are easy to root from softwood cuttings.
Plant this superb shrub in your garden to attract butterflies and other pollinators.


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Project Setup¶
Step 1: Pick a project name¶
This project provides a Sphinx_ extension that supports a form of Knuth’s |LP|. Most Sphinx_ extensions are created in the sphinxcontrib namespace, so this project name will be sphinxcontrib-pylit.
Note
There are several packages listed on PyPi_ with pylit in the name. I first used this name in 2003 as part of my Computer Science Master’s Thesis project at Texas State Uniersity, and I registered the pylit.org name in 2005. If this causes confusion, I apologize to the others trying to build similar systems.
Step 2: Create Project Directories¶
Following the guidance found in the `Minimal Structure`_ documentation on PyPi_, we begin work by setting up a simple file structure:
Package Structure¶
We create an empty Python package for the project as follows:
$ mkdir -p sphinxcontrib-pylit/sphinxcontrib/pylit
$ cd sphinxcontrib-pylit
$ touch sphinxcontrib/__init__.py
$ touch sphinxcontrib/pylit/__init__.py
The last two commands create empty __init__.py files to identify these directories as packages for Python).
Project Documentation¶
We will be documenting this project using Sphinx_ and hosting the documentation in Github_. The setup I use to do this places all Sphinx_ source files under a rst directory, and the output HTML files are generated in a docs directory. This makes publishing the final HTML files on Github_ very simple:
* cd sphinxcontrib-pylit
* mkdir rst
$ mkdir docs
Step 3: Git Setup¶
I recommend Git_ as your source code contro system, and Github_ as the server to host your public view of the project code. (I have long supported free tools such as these to my Computer Science students!)
Local Git_ setup¶
Begin by placing this project under Git_ management. From the project root directory, do this:
$ git init
It is traditional to set up a few basic files in the project root directory. Here are he files I use:
README.rst¶
This file will appear on Github_ when visitors browse your project. At the very least, it should provide some basic information about the project.
sphinxcontrib-pylit
###################
|travis| |apveyor| |codecov| |version| |license| |quality|
Sphinx extensions for Literate Programming.
This extension supports a version of Dr. Donald Knuth's Literate Programming
within reStructuredText documents. Code detailed within blocks supported by
this extension can be extracted for processing, and saved in a
user-configurable location. The extension also supports running commands
against the extracted code. This extension was developed to support teaching
Computer Science and demonstrating the software development workflow.
* Download: https://pypi.python.org/pypi/sphinxcontrib-pylit/#downloads
* Documentation: http://rblack42.github.io/sphinxcontrib-pylit
* Development: https://github.com/rblack42/sphinxcontrib-pylit/
.. |travis| image:: https://travis-ci.org/rblack42/sphinxcontrib-pylit.png?branch=master
:target: https://travis-ci.org/rblack42/sphinxcontrib-pylit
:alt: travis-ci
.. |codecov| image:: https://codecov.io/gh/rblack42/sphinxcontrib-pylit/branch/master/graph/badge.svg
:target: https://codecov.io/gh/rblack42/sphinxcontrib-pylit
:alt: codecov.io badge
.. |version| image:: https://badge.fury.io/py/sphinxcontrib-pylit.svg
:target: https://badge.fury.io/py/sphinxcontrib-lpblocks
:alt: Latest PyPI version
.. |license| image:: https://img.shields.io/pypi/l/sphinxcontrib-pylit.svg
:target: https://pypi.python.org/pypi/sphinxcontrib-pylit/
.. |quality| image:: https://codeclimate.com/github/rblack42/sphinxcontrib-pylit/badges/gpa.svg
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:target: https://ci.appveyor.com/project/rblack42/sphinxcontrib-pylit
:alt: Build Status Windows


Author ranking on WordiZ – November 2013
6/Nov 2013
The number of users on WordiZ.it went over 260 in November, which makes more or less 16 000 articles saved in our database. It is really great and we are proud of your engagement. Because this little community also allow us to give out some statistics, here is the top 10 authors on WordiZ.
- Jean-Marc Manach : French journalist – ZImpact score = 45
- David Amerland : British Author/Speaker – ZImpact score = 44
- Olivier Duffez : French SEO consultant – ZImpact score = 41
- Mark Traphagen : American SEO/Webmarketing consultant – ZImpact score = 38
- Haydée Bouscasse : French Travel Blogger – ZImpact score = 32
- Ann Smarty : American Blogger and SEO Consultant – ZImpact Score = 30
- Fatima Martinez Lopez : Spanish Social Media Speaker/Teacher – ZImpact Score = 29
- Jeremy Benmoussa : French Social Media Blogger – ZImpact score = 25
- Carlos Pizcos : Spanish Social Media Teacher – ZImpact score = 24
- Gabriel Dabi-Schwebel : French Webmarketing Consultant – ZImpact Score = 23
Congratulation to all of you.
This ranking is only temporary… we still have three weeks before the next one. Do you want to challenge the best influencers and compare your score ? Sign on WordiZ.it and just wait until we crawl your websites….
More Reading


A batch of join and leave presences on a chat channel.
More...
Inherited by Nakama.ChannelPresenceEvent.
|
| string | ChannelId [get] |
| | The unique identifier of the chat channel.
|
| |
| IEnumerable< IUserPresence > | Joins [get] |
| | Presences of the users who joined the channel.
|
| |
| IEnumerable< IUserPresence > | Leaves [get] |
| | Presences of users who left the channel.
|
| |
| string | RoomName [get] |
| | The name of the chat room, or an empty string if this message was not sent through a chat room.
|
| |
| string | GroupId [get] |
| | The ID of the group, or an empty string if this message was not sent through a group channel.
|
| |
| string | UserIdOne [get] |
| | The ID of the first DM user, or an empty string if this message was not sent through a DM chat.
|
| |
| string | UserIdTwo [get] |
| | The ID of the second DM user, or an empty string if this message was not sent through a DM chat.
|
| |
A batch of join and leave presences on a chat channel.
◆ ChannelId
| string Nakama.IChannelPresenceEvent.ChannelId |
|
get |
The unique identifier of the chat channel.
◆ GroupId
| string Nakama.IChannelPresenceEvent.GroupId |
|
get |
The ID of the group, or an empty string if this message was not sent through a group channel.
◆ Joins
Presences of the users who joined the channel.
◆ Leaves
Presences of users who left the channel.
◆ RoomName
| string Nakama.IChannelPresenceEvent.RoomName |
|
get |
The name of the chat room, or an empty string if this message was not sent through a chat room.
◆ UserIdOne
| string Nakama.IChannelPresenceEvent.UserIdOne |
|
get |
The ID of the first DM user, or an empty string if this message was not sent through a DM chat.
◆ UserIdTwo
| string Nakama.IChannelPresenceEvent.UserIdTwo |
|
get |
The ID of the second DM user, or an empty string if this message was not sent through a DM chat.
The documentation for this interface was generated from the following file:


ENEMY OF THE STATE (1998)
A film review by Steve Kong Edited by Cher Johnson Copyright 1998 Steve Kong
I thought Chris Carter (creator of The X-Files) and Oliver Stone were paranoid. No, there's someone more paranoid than these two put together: David Macroni, the screenwriter of Enemy of the State.
Washington D.C. labour lawyer, Robert Clayton Dean (Will Smith), is an ordinary guy. Dean lives a stable and uncomplicated life with his wife (Regina King) and kid, and he has a good job. I don't think he could ask for anything more. That is, until he bumps into a long unseen friend Zavitz (Jason Lee) one day.
It turns out that Zavitz, while shooting video of migrating ducks accidentally records the murder of a high-positioned congressman. The congressman is the head of a committee overlooking a privacy bill in the House that could possibly strip all Americans of their privacy. This bill would let the government, especially the National Security Agency, install wiretaps and spy on any American. The congressman is highly opposed to the bill and has the ears of many in the committee. NSA official, Reynolds (Jon Voight) does not like the congressman's stand on the bill and he'll do anything to get it passed -- including killing the congressman so that a more supportive person can step up to head the committee.
Zavitz, on the run from some rogue NSA guys who are under the lead of Reynolds, leaves the incriminating tape with Dean, without Dean knowing it. When the NSA guys figure out that Dean has the tape, they go after Dean - who still doesn't know that he has the tape. The NSA guys tear up Dean's life. They split his marriage with a fake affair. They cause Dean to lose his job. Dean's credit cards are cancelled. Dean's identity is all lost.
Dean seeks the help of an informer known only as Brill (Gene Hackman). Brill is a shadowy figure who works in an abandoned warehouse and surrounds his workplace with copper mesh to keep the government from listening in. Brill, a former NSA man, knows how the NSA works and knows how to defeat them at their own game. Brill is Dean's only hope.
Enemy of the State focuses on two long and exhilarating chase scenes. The film then tops itself off with one, though highly improbable, shootout.
Brill serves as the spokesperson for screenwriter, Macroni. He talks about how the government has an underground monitoring station that can listen to any of our telephone conversations. He lets Dean know about the hundreds of satellites overhead that can track anyone's movements. He talks about how we're all wired in some way and how we cannot escape the eyes and ears of the US government.
What is surprising is that most of what Brill talks about can be possible - frighteningly possible. Like it or not, there's no way to not leave a digital footprint. Use your ATM card, charge something, or make a telephone call and all of these things will leave a digital footprint. Someone, including our own government, can track what we do because of this. Perhaps the government isn't spying on us, but how can we be sure? As Brill points out, if call someone and use one of a hundred catchphrases such as "bomb", "president" or "Allah", a computer will mark your telephone call as a priority and queue it to be analyzed by a human.
Enemy of the State is not a thought-provoking film, but it does raise some questions that stick long after leaving the theatre. For the most part, it is an action film, and as such it is outstanding. Coming from producer Jerry Bruckheimer (Armageddon, The Rock, Top Gun) and directed by Tony Scott (Crimson Tide, Top Gun) Enemy of the State is an all out roller-coaster ride that doesn't take a second to catch its breath.
Scott is a director whom I take a liking to. He has a definite flair to his direction and he really shines with Enemy of the State. Scott pulls out every trick from his director's bag for this movie. Using sped up/slowed down film, strange satellite footage, and many quick cuts, Scott polishes this film until it's so shiny that the audience can see their reflection on the screen. Like Michael Bay's The Rock, Scott keeps Enemy of the State moving at such a speed that the audience isn't left with any time to think about all the gaping holes in the script. Scott puts out an entertaining film that is a good two-hour diversion.
Will Smith has established that he is a versatile actor. His onscreen charisma is what carried Independence Day and Men in Black. And he showed that he's good with action in Bad Boys. In Enemy of the State, Smith tries something new: a regular guy. Smith holds up well throughout the film; kudos to Smith for a good performance.
Gene Hackman is always a joy to see on screen and with Enemy of the State he's no different. In this second film with Tony Scott, Hackman gets to do something different. In his first film with Scott, Crimson Tide, Hackman was the captain of a nuclear submarine who was expected only to know where and when to fire the nuclear missiles. His character in Crimson Tide was no genius, but his character in Enemy of the State is. And Hackman handles the part just fine. Hackman has a big screen presence and every time he's on screen everything else falls to the wayside, including Will Smith.
By far, Enemy of the State is the most entertaining action film of this fall season. With its spit-shine polished looks and its two lead actors, Enemy of the State will entertain many with its visions of paranoia. Don't Miss Enemy of the State and remember:
It's not paranoia if they're really after you.
[Rated R – Language and Violence. Running Time: 128 Minutes]
--- Steve Kong<EMAIL_ADDRESS>recipe for a hard boiled review: one egg, two cups water, a pot, a helluva attitude, and a guy who loves the cinema. i'm your hard boiled movie guide.
http://boiledmovies.sbay.com/
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Kathleen Sharon Smith
Democrat
Retired My previous employer was the U.S. Geological Survey in Denver.
Ph.D. Geochemistry (1991) Colorado School of Mines, Golden, CO M.S. Geochemistry (1986) Colorado School of Mines, Golden, CO B.S. Environmental Geology (1978) Beloit College, Beloit, WI
80401
I have donated to numerous candidates and ballot-issue campaigns over the past 5 years. I haven't kept a list because I didn't need to compile the information for taxes. Most recently, I have donated to Fair Tax Colorado, Together Colorado, and several 2020 individual candidates.
League of Women Voters (Legislative Action Committee), Together Colorado, Golden United (Board), Jeffco Communities that Care, Colorado School of Mines Affiliate Appointment, American Association for the Advancement of Science, Geological Society of America, Geochemical Society, International Mine Water Association, National Active and Retired Federal Employees Association
Since my retirement about 5 years ago I have been participating in community organizing/engagement and advocacy through my church (Jefferson Unitarian Church in Golden) and Together Colorado. I am a member of the League of Women Voters of Colorado's Legislative Action Committee following mostly housing-related legislation for the past two years. I am on the Board of Golden United, a nonprofit (501(c)(3)), non-partisan, grassroots-driven effort to engage Golden area community members across all walks of life to find common ground and act with respect and dignity in strengthening the community. I serve as a co-chair of the Golden United Housing Task Force, promoting awareness and education about housing issues and solutions for Golden.
Fair districts are one of the foundations of democracy. I am a native Coloradan (2nd generation) and am very proud that Colorado is leading the nation in redistricting reform and want to help Colorado make history. As a retired scientific researcher, I am detail-oriented and find the concept of restricting fairness to be intriguing and extremely important.
I have always tried to put democratic ideals, such as voter registration and informative candidate forums, above my personal partisan opinions. I had some facilitator training during my professional career that gave me tools for deep listening and consensus-building.
I am a retired research scientist so I used analytical skills and critical thinking throughout my 40+ year scientific career. Critical thinking and logic are essential to address difficult projects, such as redistricting.
female she/her/hers


The previous example introduced NoResource
, a Twisted Web error resource which
responds with a 404 (not found) code. This example will cover the APIs
that NoResource
uses to do this so that you can generate your own
custom response codes as desired.
First, the now-standard import preamble:
1 2 3
from twisted.web.server import Site from twisted.web.resource import Resource from twisted.internet import reactor
Now we'll define a new resource class that always returns a 402 (payment required) response. This is really not very different from the resources that was defined in previous examples. The fact that it has a response code other than 200 doesn't change anything else about its role. This will require using the request object, though, which none of the previous examples have done.
The Request
object has
shown up in a couple of places, but so far we've ignored it. It is a parameter
to the getChild
API as well as to render methods such as render_GET
. As you might
have suspected, it represents the request for which a response is to be
generated. Additionally, it also represents the response being generated. In
this example we're going to use its setResponseCode
method to - you guessed
it - set the response's status code.
1 2 3 4
class PaymentRequired(Resource): def render_GET(self, request): request.setResponseCode(402) return "Please swipe your credit card."
Just like the other resources I've demonstrated, this one returns a
string from its render_GET
method to define the body of
the response. All that's different is the call
to setResponseCode
to override the default response code,
200, with a different one.
Finally, the code to set up the site and reactor. We'll put an instance of
the above defined resource at /buy
:
1 2 3 4 5
root = Resource() root.putChild("buy", PaymentRequired()) factory = Site(root) reactor.listenTCP(8880, factory) reactor.run()
Here's the complete example:
1 2 3 4 5 6 7 8 9 10 11 12 13 14
from twisted.web.server import Site from twisted.web.resource import Resource from twisted.internet import reactor class PaymentRequired(Resource): def render_GET(self, request): request.setResponseCode(402) return "Please swipe your credit card." root = Resource() root.putChild("buy", PaymentRequired()) factory = Site(root) reactor.listenTCP(8880, factory) reactor.run()
Run the server and visit http://localhost:8880/buy
in your
browser. It'll look pretty boring, but if you use Firefox's View Page Info
right-click menu item (or your browser's equivalent), you'll be able to see that
the server indeed sent back a 402 response code.


| fkGraphics reference pages |
h=IRECT(position) h=IRECT(...,parm1,val1,...)
h=IRECT(position) draws a rectangle defined by the position vector ([left bottom width height]) and allows the user to interactively change the circle. The function returns a handle to the rectangle. Get(h,'rect') will return a structure with rectangle data. Dragging the sides aor corners will change the size of the rectangle, dragging the center point, will move the rectangle.
h=IRECT(...,parm1,val1,...) passes in extra parameter/value pairs. Valid parameters are:
| polarcursor | Toolbox page | rangecursor |


Description: Selects all direct child elements specified by "child" of elements specified by "parent".
As a CSS selector, the child combinator is supported by all modern web browsers including Safari, Firefox, Opera, Chrome, and Internet Explorer 7 and above, but notably not by Internet Explorer versions 6 and below. However, in jQuery, this selector (along with all others) works across all supported browsers, including IE6.
The child combinator (E > F) can be thought of as a more specific form of the descendant combinator (E F) in that it selects only first-level descendants.
Note: The
$("> elem", context)
selector will be deprecated in a future release. Its usage is thus discouraged in lieu of using alternative selectors.
<!DOCTYPE html>

Item 1

Item 2

Nested item 1

Nested item 2

Nested item 3

Item 3


Basket
People:
all
Delete
{{person.name}} {{vm.peopleFunctions.numberOfItems(person)}}
Add a Person
{{vm.models.prompt.title}}
Cancel
OK


Documentation : DDE Commands
Sumatra can be controlled in a limited way from other software by sending DDE commands. They are mostly used to use SumatraPDF as a preview tool from e.g. LaTeX editors that generate PDF files.
Format of DDE comands
Single DDE command: [Command(parameter1, parameter2, ..., )]
Multiple DDE commands: [Command1(parameter1, parameter2, ..., )][Command2(...)][...]
List of DDE commands:
- Open file
- format:
[Open("<pdffilepath>"[,<newwindow>,<focus>,<forcerefresh>])]
- arguments:
- if
newwindow
is 1 then a new window is created even if the file is already open - if
focus
is 1 then the focus is set to the window - if
forcerefresh
is 1 the command forces the refresh of the file window if already open (useful for files opened over network that don’t get file-change notifications)“.
- if
- example:
[Open("c:\file.pdf", 1, 1, 0)]
- format:
- Forward-search
- format:
[ForwardSearch(["<pdffilepath>",]"<sourcefilepath>",<line>,<column>[,<newwindow>,<setfocus>])]
- arguments:
pdffilepath
: path to the PDF document (if this path is omitted and the document isn’t already open, SumatraPDF won’t open it for you)column
: this parameter is for future use (just always pass 0)newwindow
: 1 to open the document in a new window (even if the file is already opened)focus
: 1 to set focus to SumatraPDF’s window.
- examples
[ForwardSearch("c:\file.pdf","c:\folder\source.tex",298,0)]
[ForwardSearch("c:\folder\source.tex",298,0,0,1)]
- format:
- Jump to named destination command
- format:
[GotoNamedDest("<pdffilepath>","<destination name>")]
- example:
[GotoNamedDest("c:\file.pdf", "chapter.1")]
- note: the pdf file must be already opened
- format:
- Go to page
- format:
[GotoPage("<pdffilepath>",<page number>)]
- example:
[GotoPage("c:\file.pdf", 37)]
- note: the pdf file must be already opened.
- format:
- Set view settings
- format:
[SetView("<pdffilepath>","<view mode>",<zoom level>[,<scrollX>,<scrollY>])]
- arguments:
view mode
:- “single page”
- “facing”
- “book view”
- “continuous”
- “continuous facing”
- “continuous book view”
zoom level
: either a zoom factor between 8 and 6400 (in percent) or one of -1 (Fit Page), -2 (Fit Width) or -3 (Fit Content)scrollX, scrollY
: PDF document (user) coordinates of the point to be visible in the top-left of the window
- example:
[SetView("c:\file.pdf","continuous",-3)]
- note: the pdf file must already be opened
- format:


Welcome: {{owner.contact_email}}
Sorry! You do not have apartments.
0">
| {{apartment.address}} |
{{apartment.facilities}} |
|
Sorry! You do not have flats for this apartment.
0">
Existing Flats for Apartment : {{selectedApartmentId}}
| {{flat.floor_number}} |
{{flat.rent_per_room}} |
{{flat.availability}} |
|
|


qfnn.qf_circ.gates module¶
- class qfnn.qf_circ.gates.ExtendGate¶
Bases:
object
- classmethod ccccx(circ, q1, q2, q3, q4, q5, aux1, aux2)¶
Function cccx : using the basic Toffoli gates and CX,CCX gate to implement ccccx gate
- Parameters
circ – quantum circuit
q1 – control qubits
q2 – control qubits
q3 – control qubits
q4 – control qubits
q5 – target qubits :
aux1 – auxiliary qubits
aux2 – auxiliary qubits
- Returns
the circuit you add the gate to
- Return type
circ
- classmethod cccx(circ, q1, q2, q3, q4, aux1)¶
Function cccx : using the basic Toffoli gates and CX gate to implement cccx gate :param circ: quantum circuit :param q1: control qubits :param q2: control qubits :param q3: control qubits :param q4: target qubits : :param aux1: auxiliary qubits
- Returns
the circuit you add the gate to
- Return type
circ
- classmethod cccz(circ, q1, q2, q3, q4, aux1, aux2)¶
Function cccx : using the basic Toffoli gates and CZ gate to implement cccz gate
- Parameters
circ – quantum circuit
q1 – control qubits
q2 – control qubits
q3 – control qubits
q4 – target qubits :
aux1 – auxiliary qubits
aux2 – auxiliary qubits
- Returns
the circuit you add the gate to
- Return type
circ
- classmethod ccz(circ, q1, q2, q3, aux1)¶
Function ccz : using the basic Toffoli gates and CZ gate to implement ccz gate, which will flip the sign of state |111>
- Parameters
circ – quantum circuit
q1 – control qubits
q2 – control qubits
q3 – target qubits :
aux1 – auxiliary qubits
- Returns
the circuit you add the gate to
- Return type
circ
- classmethod cnx(circ, q, aux, q_num)¶
Function cnz : using the basic Toffoli gates and CZ gate to implement cc..cx gate,which includes n control gates.
- Parameters
circ – quantum circuit
q – qubits list. The last is target qubits
aux – auxiliary qubits
q_num – the number of qubits in q.
- classmethod cnz(circ, q, aux, q_num)¶
Function cnz : using the basic Toffoli gates and CZ gate to implement cc..cz gate,which includes n control gates.
- Parameters
circ – quantum circuit
q – qubits list. The last is target qubits
aux – auxiliary qubits
q_num – the number of qubits in q.
- classmethod neg_weight_gate(circ, qubits, aux, state)¶
Function neg_weight_gate : adding NOT(X) gate before the qubits associated with 0 state. For example, if we want to flip the sign of |1101>, we add X gate for q2 beforethe cccz gate, as follows.
- Parameters
circ – quantum circuit
qubits – the register of input qubits
aux – auxiliary qubits
state – a string that represents the state of the qubits,such as ‘1101’


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This project collects certain user data to be used alongside the survey for my dissertation research project. The data that is collected is not personally identifiable. Instead after the game, you are given a GUID (referred to as UUID). This ID is used to associate the in-game data with your survey answers. This cannot be used to personally identify you. You are free to leave the project at any time and have your data deleted. To request your data to be deleted please email<EMAIL_ADDRESS>with the subject "Dissertation deletion request" and include your GUID in the body. You can get your UUID when you finish the game. The project was collected with Unity which does collect user data as standard. See Unity's privacy policy here:
Unity Privacy Policy


Solutions to Exercises¶
Module 1 Exercise Solutions¶
Exercise 1: Motivating Automatic Differentiation
A. The python code is given by: .. highlight
import numpy as np
import matplotlib.pyplot as plt
def numerical_diff(f, h):
def num_der(x):
return (f(x+h)-f(x))/h
return num_der
nd = numerical_diff(np.log, 1E-1)
nd2 = numerical_diff(np.log, 1E-7)
nd3 = numerical_diff(np.log, 1E-15)
x = np.linspace(.2, .4, 20)
plt.plot(x, nd(x), label = 'h=.1')
plt.plot(x, nd2(x), label = 'h=1e-7')
plt.plot(x, nd3(x), label = 'h=1e-15')
plt.plot(x, 1/x, '--', label='true')
plt.legend()
plt.xlabel('x')
plt.ylabel('df/dx')
The corresponding graph output is:
The numerical differentiation performs best for h=1e-7. For h too small, we encounter round off errors as a result of limited machine precision. For h too large, the numerical approximation is not exact. Automatic differentiation addresses this by evaluating derivatives exactly to machine precision without taking numerical estimates.
Exercise 2: Basic Graph Structure of Calculations .. image:: Mod1Ex2Sol.PNG You should notice that while your labelling of the nodes may be different, the overall connectivity structure and edges should be the same.
Exercise 3: .. image:: Mod1Ex3Sol.PNG
Module 2 Exercise Solutions¶
Exercise 1: Neural Network Problem The corresponding computational graph is given by: .. image:: Mod2Ex1Sol.PNG
The table corresponding to this graph is given by:
Trace |
Elementary Function |
Current Value |
Elementary Function Derivative |
\(\nabla_x\) Evaluated at (x,y) |
\(\nabla_y\) Evaluated at (x,y) |
|---|---|---|---|---|---|
\(x_1\) |
\(x\) |
\(x\) |
1 |
1 |
0 |
\(x_2\) |
\(y\) |
\(y\) |
1 |
0 |
1 |
\(x_3\) |
\(w_{11} \times x_1\) |
\(w_{11}x\) |
\(w_{11}\dot{x_1}\) |
\(w_{11}\) |
0 |
\(x_4\) |
\(w_{21} \times x_1\) |
\(w_{21}x\) |
\(w_{21}\dot{x_1}\) |
\(w_{21}\) |
0 |
\(x_5\) |
\(w_{12} \times x_2\) |
\(w_{12}y\) |
\(w_{12}\dot{x_2}\) |
0 |
\(w_{12}\) |
\(x_6\) |
\(w_{22} \times x_2\) |
\(w_{22}y\) |
\(w_{22}\dot{x_2}\) |
0 |
\(w_{22}\) |
\(x_7\) |
\(x_3+x_5\) |
\(w_{11}x+w_{12}y\) |
\(\dot{x_3}+\dot{x_5}\) |
\(w_{11}\) |
\(w_{12}\) |
\(x_8\) |
\(x_4+x_6\) |
\(w_{21}x+w_{22}y\) |
\(\dot{x_4}+\dot{x_6}\) |
\(w_{21}\) |
\(w_{22}\) |
\(x_9\) |
\(z(x_7)\) |
\(z(w_{11}x+w_{12}y)\) |
\(z^\prime (x_7)\dot{x_7}\) |
\(z^\prime (w_{11}x+w_{12}y)w_{11}\) |
\(z^\prime (w_{11}x+w_{12}y)w_{12}\) |
\(x_{10}\) |
\(z(x_8)\) |
\(z(w_{21}x+w_{22}y)\) |
\(z^\prime (x_8)\dot{x_8}\) |
\(z^\prime (w_{21}x+w_{22}y)w_{21}\) |
\(z^\prime (w_{21}x+w_{22}y)w_{22}\) |
\(x_{11}\) |
\(w_{out,1}\times x_9\) |
\(w_{out,1}z(w_{11}x+w_{12}y)\) |
\(w_{out, 1}\dot{x_9}\) |
\(w_{out,1}z^\prime (w_{11}x+w_{12}y)w_{11}\) |
\(w_{out,1}z^\prime (w_{11}x+w_{12}y)w_{12}\) |
\(x_{12}\) |
\(w_{out,2}\times x_{10}\) |
\(w_{out,2}z(w_{21}x+w_{22}y)\) |
\(w_{out, 2}\dot{x_{10}}\) |
\(w_{out,2}z^\prime (w_{21}x+w_{22}y)w_{21}\) |
\(w_{out,2}z^\prime (w_{21}x+w_{22}y)w_{22}\) |
\(x_{13}\) |
\(x_{11}+x_{12}\) |
\(w_{out,1}z(w_{11}x+w_{12}y)+w_{out,2}z(w_{21}x+w_{22}y)\) |
\(\dot{x_{11}}+\dot{x_{12}}\) |
\(w_{out,1}z^\prime (w_{11}x+w_{12}y)w_{11}+w_{out,2}z^\prime (w_{21}x+w_{22}y)w_{21}\) |
\(w_{out,1}z^\prime (w_{11}x+w_{12}y)w_{12}+w_{out,2}z^\prime (w_{21}x+w_{22}y)w_{22}\) |
Exercise 2: Operation Count Problem Computing the derivative at the six nodes \(x_3, x_4, x_5, x_6, x_{11}, x_{12}\) requires one multiplication in each of the 2 components, contributing \(6 \times 1 \times 2 = 12\) operations.
Computing the derivative at the 3 nodes \(x_7, x_8, x_{13}\) requires one addition in each of the 2 components, contributing \(3\times 1 \times 2 = 6\) operations.
Computing the derivative at the nodes \(x_9, x_{10}\) requires 2 operations (an elementary function evaluation of \(z^\prime\) and a multiplication) in each of the 2 components, contributing \(2\times 2 \times 2 = 8\) operations.
This gives us a total of 26 operations.
Module 3 Exercise Solutions¶
Exercise 1: Reverse Mode Computational Table and Derivatives
The reverse computational table is given by:
Node |
Current Value |
Numerical Value |
\(\partial_1\) |
\(\partial_1\) Value |
\(\partial_2\) |
\(\partial_2\) Value |
|---|---|---|---|---|---|---|
\(x_1\) |
\(x\) |
1 |
1 |
1 |
0 |
0 |
\(x_2\) |
\(y\) |
2 |
0 |
0 |
1 |
1 |
\(x_3\) |
\(x_1x_2\) |
2 |
\(x_2\) |
2 |
\(x_1\) |
1 |
\(x_4\) |
\(\exp(x_3)\) |
\(e^2\) |
\(\exp(x_3)\) |
\(e^2\) |
||
\(x_5\) |
\(x_3+x_4\) |
2+:math:e^2 |
1 |
1 |
1 |
1 |
We can now trace back through the table to find the adjoints.
We note that in our bar notation we have \(\bar{x_1} = \frac{\partial f}{\partial x}\) and \(\bar{x_2} = \frac{\partial f}{\partial y}\).
Beyond the Basics Exercise Solutions¶
Exercise 1: Dual Numbers To find the derivative, we look to the dual part when we replace x with \(a+b\epsilon\). For our function,
Since \(\epsilon^2=0\),
Expanding \(e^{2ab\epsilon}\) using a Taylor series,
So we have that the derivative evaluated at a is \(2ae^{a^2}\).
Exercise 2: Toy AD Example .. highlight:
class AutoDiffToy():
""" Creates an object for autodifferentiation
ATTRIBUTES
==========
val : the value of the object
der : the derivative of the object
EXAMPLES
========
>>> x = AutoDiffToy(4)
>>> x.val
4
>>> x.der
1
"""
def __init__(self, a, d=1.0):
self.val = a
self.der = d
def __add__(self, other): #overload addition
try:
return AutoDiffToy(self.val+other.val, self.der+other.der)
except AttributeError:
other = AutoDiffToy(other, 0) # derivative of a constant is zero
return AutoDiffToy(self.val+other.val, self.der+other.der)
def __radd__(self, other): #ensure commutativity of addition
return self.__add__(other)
def __mul__(self, other): #overload multiplication
try:
return AutoDiffToy(self.val*other.val, self.val*other.der+other.val*self.der)
except AttributeError:
other = AutoDiffToy(other, 0)
return AutoDiffToy(self.val*other.val, self.val*other.der+other.val*self.der)
def __rmul__(self, other):
return self.__mul__(other)


{% load static %}
We would like to invite you to participate in this research project directed by researchers at UCL. You should only participate if you want to; choosing not to take part will not disadvantage you in any way. Before you decide whether you want to take part, it is important for you to read the following information carefully and discuss it with others if you wish. Ask us if there is anything that is not clear or if you would like more information.
The purpose of this study is to investigate how machine teaching can facilitate the acquisition of a new language. The expected duration of the study is about 10 minutes. More detailed instructions will follow on the next pages. At the end of the experiment, you will be provided a unique completion code which can be submitted to Mechanical Turk. There are no particular risks associated with your participation other than those associated with the use of standard computer equipment.
All data will be handled according to the GDPR. Any information that is obtained in connection with this study and that can be identified with you will remain confidential and will be disclosed only with your permission or as required by law. Only UCL researchers working with Dr. Enrico Costanza will have access to data that can be identified with you.
As part of the experiment, you will be asked to make and submit a series of one-word voice recordings. These recordings will be retained securely for 6 months and then deleted. No other personal information will be collected so each user's responses and recordings will be anonymous.
Aggregated and anonymous performance data may be made publicly available through scientific publication, or otherwise shared with other researchers. The legal basis used to process your personal data will be the performance of a task in the public interest. The data controller for this project is University College London (UCL). The Data Protection Officer is X X, he can be contacted at X
If you decide you do not want the data to be recorded, or if you decide at a later date that you do not want these recordings to be kept in the form specified above, you may request that we delete the data from our dataset by contacting the principal investigator (e-mail X), within the next 6 months. After the next 6 months, all recordings will be destroyed and any other data will be aggregated and fully anonymised, and may be made available to other researchers – as this can be helpful for other researchers working on similar topics.
You may withdraw at any time and for any reason during the study. You may access or withdraw your data at any time and for any reason within the next 6 months after the study ends when all the data is being anonymised or securely destroyed.
Should you have any concern or complaint, you can contact us at any point via email (Sam: X or E. Costanza: X). For ethics queries, you can use the following contact (X). If you are concerned about how your personal data is being processed, you can contact the UCL Data Protection Office at X. If you remain unsatisfied, you may wish to contact the Information Commissioner’s Office (ICO). Contact details, and details of data subject rights, are available on the ICO website at https://ico.org.uk/for-organisations/data-protection-reform/overview-of-the-gdpr/individuals-rights/
Thank you for reading this information sheet and for considering taking part in this research study. Please find the Informed Consent Form on the next page.


This project analyzes property prices in Colombia (houses, apartments, lots, etc). The data has been obtained from this site in kaggle
In order to analyze the amount of missing values in the original data set you can choose a segmentation variable and a list of variables of interest with the controls below.
Select the types of properties you want to inspect:
From the previous analysis we can draw the following conclusions:
Taking into account the above, these was the cleaning task executed:
To ensure quality work on these data, we will use the CRIPS-DM methodology for answering questions of interest about the data we are studying. The methodology consists of the following steps:
The deployment stage usually involves create an analytical solution in a production environment for support business decisions. This is this site!!. We try systematically approach the phases as far as possible.
What is the main question that we must resolve regarding the real estate data in Colombia?
There is no single answer, however, to understand the situation, the following questions may be relevant:
Once the questions of interest are raised, we will take a closer look at our data to answer each question. First we will review the variables that inform us about the region where the properties are located. These child variables:
The variable l1 is obviously constant in this case, so it does not contribute anything in the explanation of the data and was removed in the previous step. On the other hand, we will add the region variable to group the departments by geographic regions. For this we will use the regions.csv file that maps each department to its respective region.
To take advantage of the fact that our database is georeferenced, we will use the "Folium" package.
Folium allows us to build spatial representations of our data, invoking underneath the Leafleat JavaScript library, which runs perfectly in jupyter notebooks and website like this. The regions file also contains an extra column with the name of the department as it appears in the shapefile dept.shp. This shape file is included in the repository where this project is located because it contains the department layer that allows you to draw the median of property prices on an interactive map. The resource can be downloaded from here.
To read this file we will use "geopandas". This library facilitates the creation of geodataframe objects with information from a shapefile. Here the documentation.
Data preparation involved the following steps:
We have implemented interactive map visualizations using Folium and Geopandas. The data that you will see below are the medians of the property prices for each department in Colombia.
Choose options using the following types list. The median of price will be calculate for each department over all types selected. Then a Choropleth map will be displayed.
We have implemented an geodataframe using geopandas. In it, we integrate the price data with the department polygons and then pass this information to Folium and draw maps. The table looks like this:
You can also inspect it in html format here
To answer the principal question: Which of the variables we have available allow us to better predict the price of a property and how much precision is achieved?, we tried with several regression model(linear model, SVM for regression, and Stochastic Gradient Descent for regression). We build a single model with the data of Houses and Apartments. In preparing data for the model, the following steps were considered:
This web-site use the best model for visualizations, but you can see the pipeline proccess by inspect the train_regresor.py file in the repository where this project is located. The best model is consumed from a pickle file present in the repository and the results of its evaluation are sent to the website using flask.
The main purpose of this demo is to present the integration of three tools: Folium, Geopandas and Sklearn for modeling georeferenced data. This combination is very powerful, and much more can be done in the data exploration stage. You can consult more ideas in this regard, and feel free to integrate them into this website by taking a look at the jupyter notebook present in this repository, where I expand a little more in the exploratory stage.
Using the data available in our training set we have fitted a real estate price prediction model using the steps described above. Before adjusting the model, we reserve a set of points to carry out this performance test.
Choose options using the following types list. The median of squared residuals of price will be calculate for each department over all types selected. Then a Choropleth map will be displayed.


{% load static %}
App two
This is app2 from templates
{% if users%}
{% for person in users%}
User Info
First Name {{person.first_name
First Name {{person.last_name
First Name {{person.email
{% endfor%}
{% endif%}


Click on the markers to learn about the struggles of women all over the world and the progress that still needs to be made. We still have a lot of work to do!


Here’s how to find out when your iPhone 11 camera is using Deep Fusion
by Michael PotuckA new update to the free metadata photo and video app Metapho for iPhone has brought what looks like the first way to tell when your iPhone 11 shots were taken with Deep Fusion (at least for now). Follow along for more on this neat app that not only allows you to check if Deep Fusion was used, but also view and edit EXIF metadata.
Metapho launched its latest update over the weekend that includes data on whether or not Deep Fusion was used in a photo (via MacStories). This is notable, as the feature was made by Apple to be intentionally invisible to users even when inspecting an image’s details (and it’s also very difficult to tell by just looking at photos, even side by side with the same conditions).
Metapho looks to be the very first app to offer a way to inspect for Deep Fusion, although the functionality likely won’t be around for long. Fellow camera app creator Sebastiaan de With mentioned that they skipped adding the functionality into Halide because Apple is planning to kill it soon.
In any case, Metapho is free and easy to use with an in-app purchase to unlock all features like editing metadata. And it’s fantastic to see a strong privacy focus here… no servers are involved with everything happening on-device.
Once you download and open Metapho, you’ll just need to give the app access to your photo library. There’s even a Share Sheet extension you can add to quickly check photo metadata.
At the top of the metadata under “Image Information” you’ll see “Deeply Fused” if Deep Fusion was used. Under the “Camera” section, you’ll also see an image count for Deep Fusion photos.
Metapho now also indicates if Night mode was used.
Metapho 3.4.3 full release notes:
Supports new camera features of iPhones 11
Indicates Night Mode and Deeply Fused photos under Image Info
Reveals more details about Night Mode exposures under Camera Info
Shows Outside The Frame assets in the list of assets, if available
Save as… feature in Action extension works on iOS 13
Improves compatibility with ProPhoto RGB profile
Fixes an issue that Date Edit did not make date tags for a photo without metadata
Fixes a bug: Sharing in nested Action in Action extension did not work
Fixes an issue caused crashes on iOS 13.1
Metapho is a free download from the App Store.
FTC: We use income earning auto affiliate links. More.


All you need to do now is simply create and upload your website files.
Use your preferred FTP software to upload your files using the server details provided.
Ensure that you upload your files to the HTDOCS folder


Hello {{user}}
Logout
home
Demonstrates loading recent data.
Pressing 'Send it' pushes the entered text to the DB.
Pushing 'Load more' loads the new text since your last load.
Note: It DOES NOT LOAD all new text - just the text you haven't seen yet
To Push:
Send it
Load More


suspend fun findPipelineViewById(id: String): PipelineView?
Search the database for a PipelineView with this id.
id - Id for the database search.
id
Return PipelineView or null if not found.


Attack on Titan (Japanese: 進撃の巨人, Hepburn: Shingeki no Kyojin, lit. "The Attack Titan") is a Japanese manga series written and illustrated by Hajime Isayama. It is set in a world where humanity lives inside cities surrounded by three enormous walls that protect them from the gigantic man-eating humanoids referred to as Titans; the story follows Eren Yeager, who vows to exterminate the Titans after a Titan brings about the destruction of his hometown and the death of his mother. Attack on Titan was serialized in Kodansha's monthly Bessatsu Shōnen Magazine from September 2009 to April 2021 and has been collected into 33 tankōbon volumes as of January 2021.
An anime television series adapting the manga was produced by Wit Studio (seasons 1–3) and MAPPA (season 4). A 25-episode first season was broadcast from April to September 2013, followed by a 12-episode second season broadcast from April to June 2017. A 22-episode third season was broadcast in two parts, with the first 12 episodes airing from July to October 2018 and the last 10 episodes airing from April to July 2019. A fourth and final season premiered in December 2020, airing 16 episodes in its first part, with the remainder announced to air in early 2022.


At Guantanamo Marine Base, a private is attacked by 2 other marines and dies as a result. An investigation is conducted by Lt. Commander Jo Galloway and reveals to her superiors that she believes that the private was attacked by because he was going over the head of Colonel Jessup, the base commander and was threatening to reveal something unless he gets a transfer, so Jessup ordered a "code red" which is basically a type hazing done which is not legal. Galloway wants to be assigned to defend the 2 marines but her superior prefers that the whole go away quietly so he denies her request and has the case assigned to Lt. Dan Kaffee, a Naval lawyer who hasn't tried a case in court and prefers to plea his cases out. But Galloway warns him that if he pleads the case out, Jessup will get away with murder. Kaffee decides not to plead the case out and tries to defend them but there's no proof that Jessup actually gave the order.
/* from https://www.imdb.com/title/tt0104257/plotsummary */


Bryan Liang
About
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Portfolio
Hangman
RPG Game
Trivia Game
Rutgers Info Widget
Rock Paper Scissors


Class: Aws::S3::Types::ListPartsOutput
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | (unknown) |
Overview
Returned by:
Instance Attribute Summary
-
#abort_date ⇒ Time
rw
Date when multipart upload will become eligible for abort operation by lifecycle.
-
#abort_rule_id ⇒ String
rw
Id of the lifecycle rule that makes a multipart upload eligible for abort operation.
-
#bucket ⇒ String
rw
Name of the bucket to which the multipart upload was initiated.
-
#initiator ⇒ Types::Initiator
rw
Identifies who initiated the multipart upload.
-
#is_truncated ⇒ Boolean
rw
Indicates whether the returned list of parts is truncated.
-
#key ⇒ String
rw
Object key for which the multipart upload was initiated.
-
#max_parts ⇒ Integer
rw
Maximum number of parts that were allowed in the response.
-
#next_part_number_marker ⇒ Integer
rw
When a list is truncated, this element specifies the last part in the list, as well as the value to use for the part-number-marker request parameter in a subsequent request.
- #owner ⇒ Types::Owner rw
-
#part_number_marker ⇒ Integer
rw
Part number after which listing begins.
- #parts ⇒ Array<Types::Part> rw
-
#request_charged ⇒ String
rw
If present, indicates that the requester was successfully charged for the request.
Possible values:
. -
#storage_class ⇒ String
rw
The class of storage used to store the object.
Possible values:
. -
#upload_id ⇒ String
rw
Upload ID identifying the multipart upload whose parts are being listed.
Instance Attribute Details
#abort_date ⇒ Time
(rw)
Date when multipart upload will become eligible for abort operation by lifecycle.
#abort_rule_id ⇒ String
(rw)
Id of the lifecycle rule that makes a multipart upload eligible for abort operation.
#bucket ⇒ String
(rw)
Name of the bucket to which the multipart upload was initiated.
#initiator ⇒ Types::Initiator (rw)
Identifies who initiated the multipart upload.
#is_truncated ⇒ Boolean
(rw)
Indicates whether the returned list of parts is truncated.
#key ⇒ String
(rw)
Object key for which the multipart upload was initiated.
#max_parts ⇒ Integer
(rw)
Maximum number of parts that were allowed in the response.
#next_part_number_marker ⇒ Integer
(rw)
When a list is truncated, this element specifies the last part in the list, as well as the value to use for the part-number-marker request parameter in a subsequent request.
#owner ⇒ Types::Owner (rw)
#part_number_marker ⇒ Integer
(rw)
Part number after which listing begins.
#parts ⇒ Array
<Types::Part> (rw)
#request_charged ⇒ String
(rw)
If present, indicates that the requester was successfully charged for the request.
Possible values:
- requester
#storage_class ⇒ String
(rw)
The class of storage used to store the object.
Possible values:
- STANDARD
- REDUCED_REDUNDANCY
- STANDARD_IA
#upload_id ⇒ String
(rw)
Upload ID identifying the multipart upload whose parts are being listed.


Finite Geometry Notes
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Home
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Site Map
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Author
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Spreads image created Jan. 1, 2014. Page created Jan. 2, 2014.


2:25 - Took 6 Nytol One-A-Day Tablets (300mg Diphenhydramine BP)
[Note: Equivalent to 12 regular Nytol Tablets]
2:40 - So far feeling *very* drowsy, slight difficulty typing; could fall asleep any second.
2:47 - Just got a completely weird static-shock like feeling in the tip of my left hand's index finger. Very weird. I had been in a trance, reading off the web when it happened. Now I feel slightly disassociated, drowsy, and slightly itchy.
2:54 - Iím so hungry but I don't want to leave the sanctity of my room. It's become a real challenge to type now; I feel as though the faster I type the more correct my words will come out. My throat feels tight, and Iím taking deep breaths; not out of necessity, but because it feels really good. Music sounds really good; Iím currently playing atmospheric choons from the FFX OST.
3:26 - Iím pretty clapped. Just grilled up some boom chicken. I kept hearing weird sounds. When I move and look at a window, my reflection is delayed, and has shadows. I heard someone get up and walk around; but no one was there. Iím talking pure reality walking around; I could have sworn someone was there.  This is so not as raw and scarey as people said it would be.
3:32 - The effects have suddenly intensified. Typing is really hard; lights are super bright and it's really hard to think. Just had an involuntary spasm in my left arm; sending some chicken flying. It's getting pretty damn strong; not bad. Oh my god eating feels so weird. I don't know how my chicken transformed into beef but it has. I see little black dots whizzing past in the corner of my eye.   Super soft; my fingers felt like someone elseís. My blinking is really slow. Typing gets harder and harder. My nose was just itching; I tried to scratch it and completely missed.  OH SHIT. Not good. Just got a full body shudder; and heard my dadís footsteps outside my room.  I feel mental. I keep forgetting that Iím high.
3:40 - ok now Iím officially SCARED. I had a teaspoon on my desk. It dropped with the sound of THUNDER; like a window being smashed. It's really hard to stay focused. Oh my good I keep seeing this it's not good. The light keeps blinking on and off.  I keep seeing little insects fly across my point of view. I feel really schizo. In the corner of my eye I see things morphing. This is definately the craziest thing. Iím gonna go lie in bed soon this is too much. My words keep typing backward. AH FUCK...the computer screen just randomly changed to some weird thing and then back again.    Full body tremors when I get shocked. I keep coming close to blacking out. The walls are tricking paint UPWARDS.
3:44 - It's just getting stronger and stronger. Iím not sure whether to love it or hate it. Iím closer to hate right now; Iím really scared.  Chatting to Toni online; can't understand a word he's saying. It's all gravey as long as my parent's don't come. Fuck, how did I start typing that I was gonna go chat to Toni. The lights keep flickering itís so scarey. FUCK. The luminosity of my ENTIRE ROOM just went sky high. Everyhingís so bright. I keep getting spasms in my body and hearing popping noises.
3:47 - Iíve totally FORGOTTEN how to drink from a glass.  And the juice tasted like pussy, I'm involuntarily crossing my legs, I have no control over them. I almost didn't finish that sentence because I had forgotten what I was doing. My hands are cold. I feel really heavy in weight. My face feels so different.
3:59 - My motor reflexes are gone now; touching my own face with my hands is really hard. My perception is fucked; I tried to lean back but for some reason the back of the chair disapeared. Oh well. Putting my tongue in my cheek is amusing.   Oh yeah the walls are dribbling; tick final fantasy music and such. Looking down at the keyboard gives me a massive head rush and I keep licking my lips without knowing why.    Iím gonna chill for a bit.
4:12 - I just got up and walked, perception is completely destroyed. EVERYTHING is really heavy in terms of weight, sounds are amplified so hard that I jump.  It looks so real it's amazing.  The tarantula disappeared and now there are a few normal sized spiders. I hit one with a book and powdery residue scattered everywhere so I thought it was actually real and that I had killed it; I looked away for a second and looked back and there it was again, crawling about. I keep seeing the rawest things.  An immense amount of energy was running through my body for hours; every once in a while I spasmed to try and get the annoying feeling of energy out of me, through my right arm and leg mostly.  I gave out a little scream which to me sounded like an army of banshees wailing but that was probably in my head.
I *so* regret turning the lights off to sleep; horrible scraping sounds, gunshot sounds, my dad kept opening my door and bursting in; my heart would jump because I didn't know what to say; then Iíd look up and no one would be there; the door was closed. I had to get up about 8 times to piss, each time more horrifying than the last. When I looked in the mirror I saw a wide-eyed psycho staring back. It really didn't look like me. I tried making my eyes look smaller but it was impossible, I guess that's a physical side-effect. Walking felt so weird; I had no balance, and I felt huge. I can't describe how ridiculously raw this experience is. I honestly don't think anyone that I know could handle this kind of 'trip'. I use the term loosely; because what it actually is, is a temporary state of induced acute psychosis.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


{% extends "base.html" %} {% block title %}Python Readiness - Python support table for most popular Python packages{% endblock %} {% block content %}
Python support graph for specific Python versions for the most popular Python packages!
Some versions of Python are past their End Of Life, and some are relatively new. This site shows support for specific Python versions for the most downloaded packages on PyPI.


{{extend "layout.html"}}
{{=T("The")}} {{=module_name}} {{=T("is a central online repository where information on all the disaster victims and families, especially identified casualties, evacuees and displaced people can be stored. Information like name, age, contact number, identity card number, displaced location, and other details are captured. Picture and finger print details of the people can be uploaded to the system. People can also be captured by group for efficiency and convenience.")}}


Red Velvet's Joy is the ultimate femme fatale in her recent Instagram posts
by sl278Red Velvet's Joy showed off a new look that transformed her into an entirely different person.
 The pictures have caused quite a stir for revealing her more mature and sophisticated side.
Netizens have been abuzz, commenting:
"These pictures are really out of this world."
"You're so pretty and cool."
"Joy is a goddess, end of story."
Check out the pictures below!


Rejoice! You have been chosen to learn the ways of distributed tech stacks in order to defeat the global elites. Enter below


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This graphic shows you an overview of the alarm reports of all the fire departments, police stations and ambulances. Do you for example want to know in which areas the policemen are busy at this moment? Or how many ambulances are active? Have a look at the map and you will see the real-time data translated into red spots.
Data source: P2000


{% extends "base.html" %} {% block content %}
If you don't have one: Download pretrained (pick 'g_' model)
If you don't have one: Download pretrained


{{emp.message}}
Id
Name
Department
Salary
Gender
DOB
{{employee.id}}
{{employee.name}}
{{employee.department}}
{{employee.salary}}
{{employee.gender}}
{{employee.dob}}


| sp.vcov {mgcv} | R Documentation |
Extracts the estimated covariance matrix for the log smoothing parameter
estimates from a (RE)ML estimated gam
object, provided the fit was with a method
that evaluated the required Hessian.
sp.vcov(x)
x |
a fitted model object of class |
Just extracts the inverse of the hessian matrix of the negative (restricted) log likelihood w.r.t the log smoothing parameters, if this has been obtained as part of fitting.
A matrix corresponding to the estimated covariance matrix of the log smoothing parameter estimators,
if this can be extracted, otherwise NULL
. If the scale parameter has been (RE)ML estimated (i.e. if the method was
"ML"
or "REML"
and the scale parameter was unknown) then the
last row and column relate to the log scale parameter.
Simon N. Wood<EMAIL_ADDRESS>Wood, S.N. (2006) On confidence intervals for generalized additive models based on penalized regression splines. Australian and New Zealand Journal of Statistics. 48(4): 445-464.
require(mgcv) n <- 100 x <- runif(n);z <- runif(n) y <- sin(x*2*pi) + rnorm(n)*.2 mod <- gam(y~s(x,bs="cc",k=10)+s(z),knots=list(x=seq(0,1,length=10)), method="REML") sp.vcov(mod)