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The proportions of the truck look good with our “Sanders” figure. The truck is 16’ long, 6’3” high and 5’3” wide. The bed is just over 6’ long and is 4’ wide.
There are tailgate and tail light castings. The ivory colored parts are castings while the Grey and dark parts are original patterns.
Here is how the truck looks along side an Accucraft T boiler Shay. I think it looks about right, the Shay is a small loco and the truck does not overwhelm it even photographed in front. It does not look too small in comparison, either.
There you have it; I welcome thoughts and input on what you see here. Joe and I have
plans for more vehicles in the future; providing this effort is well received. The
price range for the kit, though not decided at this time, will be in the $35-
Sanders is sporting a “newsboy” cap available in our set of 4 hats: FA-
The headlights are separate castings, here they are cast in white resin. The final production will have them cast in clear resin.


White like a white-haired old man, although experienced vicissitudes of life, but still strong, she is like a thick history, although the heads, but for those with SiGu hard-currency of racy to find ancient mourn.
Bai yi, a bright pearl in northeast sichuan province, has a long history and profound cultural accumulation since the qin and han dynasties. In the meantime, there is a lot of scenery in the middle of the world, leaving a lot of palaces and temples, the arch of the arch, the pavilion of the pavilion, the carved beams, the pavilions, the pavilions, the mansions, the tombs, the elegant style, the exquisite workmanship.
Baiyi is located 20 km south of chengnan county, pingchang county, sichuan province. It was founded in qin and han dynasties, and it is liuzhou. Because there is a huge willows along the river, the huge arms are stretched across the river, and the people are able to travel to the other side. White name, because of the late Ming dynasty guanyin kindness to honor white like, also because of a natural disaster, the qing guangxu years white burnings, one thousand ancient town was destroyed by a torch, the goddess of mercy temple survived, only white men, so named "white", commonly known as "white temple".
Accident of natural river, the river intersection, mighty and through the lens from white, water and land transportation is very convenient, south of jingchu, north to reach the central plains, the potential control of qin shu throat, past dynasties king county a state being built in this county, become the important imperial warlords of the station troops and folk treaty ports, of the 1970 s, a flood that a large amount of ebony, han brick rediscovered; In April 2013, we dug up the bowl hill ancient tombs of the late Ming and early qing dynasties, the first


The navigation bar at the top of the site is your primary means of getting around.
Home will take you to main page. World will show you summarizes for all countries, while clicking on a country name will take you to that country's page. The drop down contains all the countries for which there is data. Again, selecting one will take you to that country.
At the far right of the navigation bar, About provides information about the site and the author, while Help takes you to this page.
You can hover over a chart to see specific values for those data points.
At the bottom of each chart is information about when it was last updated and where the data came from.
The charts are drawn with interactive JavaScript. However, each page has a link to the static image version of the chart. Clicking the link will open a new tab with that image.
Hovering over the chart also provides the Plotly chart toolbar. If you don't know what that is I suggest you don't use it. It is intended for advanced users.


JDZ
Twitter GitHub LinkedInConflict
How do you deal?
02/28/2015
We all wish that we could coast through life without any arguments. Unfortunately for most people, this isn't the way life works. Tensions of all kinds are lurking beneath the surface, and sometimes they are unearthed and then our feelings, our pride, and -- in a work environment -- our productivity, are all on the line. In my work experience, I've had to deal with several conflicts, one of which is a good example of how a conflict was mediated and damage to our productivity minimized.
When I was in college, I took a film production class where the whole class was divided into groups of four that would work together for the rest of the semester. Each group had four short film projects. Luckily, my group agreed at the beginning of the semester that each person would be a director of a their own project throughout the semester, and that the director always would have final say over what was done in that project. This way, we all got a fair shot to exercise our creative desires and we also would save time if there were creative differences that needed to be resolved.
Although this was a good plan, disagreements still arose immediately. There was a strong disagreement with the way a certain shot should be lit. The specifics of the lighting are not really relevant to this blog. The important details had to do with the dynamic of the argument and how it was resolved. We were at a location, we only had so many hours to devote to this project. Our director was hesitant to make a concrete decision. There was one member of our team who thought that the scene should be lit a certain way, and rest of us disagreed.
I felt, not really angry per say, but a very strong feeling that this person was jeopardizing the project by insisting on their way instead of leaving it to the director like we had agreed. I knew from talking with the director what they actually wanted to do, but they wouldn't take control and make a decision. I’m not going to lie, things were getting intense!
We spent a good deal of time arguing about it, and no one budged. It looked like no matter what, productivity, feelings, and pride were going to be hurt. I — though, I believed we were right — suggested that we shoot the shot with both the lighting the three of us wanted and the lighting that the lone member felt so strongly was correct. That way we would be able to decide later in post and we wouldn’t have to waste time arguing about it anymore that day. This turned out to save the dynamic of our team.
So, the decision to shoot the shot with both our preferred lighting and the dissenting member’s preferred lighting turned out to be a great idea. It made the dissenter feel their idea was respected. It gave us real options just incase we turned out to be wrong, and it saved us the time of arguing out our points on the spot. I believe that respecting the dissenting voice was essential to the resolution of the conflict. If that hadn’t happened, all of our future projects could have suffered. If I could go back and relive those moments, I would suggest immediately filming both versions of the scene instead of wasting any time or energy arguing about it.
I learned how to deal with this type of conflict in a working environment. There were a myriad of factors that lead to our disagreement. We all cared about the project, but we had differing perspectives. The important thing was resolving the conflict in a way where we all felt respected and that preserved the quality of our project.
Those are my thoughts about conflicts. Unfotunatlly we all have them. And we have to deal with them. Hopefully we can deal with them in a way that preserves our human decency, and our mutual respect.


When I was a structural engineer by trade, I had a dream: I wanted to connect people throughout the construction industry through tools that visualize engineering data into helpful information for non-technical professionals. I scraped together my spare time to learn VBA and utilized it to develop Excel programs to accomplish this. While the tools I developed dramatically increased efficiency and communication, I began to pursue other languages and frameworks to develop applications beyond Excel, and in recent months I have honed my skills in Ruby, SQL, Python, and JavaScript.
I have the technical skills as well as the intangibles to be a valuable contributor. Here is what I bring immediately to the table:
I have worked individually as well as with a team of 3 other developers to create full stack applications on web and a mobile app on both iOS and Android using Expo. This experience includes work using React, React-Native, Redux, JavaScript, GraphQL, Ruby on Rails, HTML5, CSS3, file access and uploads through Amazon Web Services, and more.
This is reflected both in my work as a structural engineer as well as the current direction my career is facing. I sought inefficiencies in structural engineering and aimed to improve on them with technology. Similarly, I found inefficiencies in my own career and took action to improve upon it.
I have communicated well not only with non-technical professionals as a structural engineer, but also with principals and engineers in my firm as I worked to develop internal tools. This includes conducting meetings and giving presentations to prioritize areas of need, to share my vision of products and tools, and to spread awareness and promote usage of products upon release
Dignissimos asperiores vitae velit veniam totam fuga molestias accusamus alias autem provident. Odit ab aliquam dolor eius.
© 2016 Free HTML5. All Rights Reserved. Designed by FreeHTML5.co Demo Images: Unsplash


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Program Co-Chair of the 26th International Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS'22).
-
Finance Chair of International Conference on Supercomputing (ICS'21).
-
Artifact Evaluation Chair of the 2021 edition of the International Conference on Languages Compilers, Tools and Theory of Embedded Systems (LCTES'21).
-
Publicity Chair of International Conference on Parallel Architectures and Compilation Techniques (PACT'20).
-
Finance and Session Chair of Principles and Practice of Parallel Programming (PPoPP'20).
-
Proceeding Chair of Emerging Parallel and Distributed Runtime Systems and Middleware Workshop (IPDRM'19), Held in conjunction with IEEE/ACM International Conference on High Performance Computing, Networking, Storage and Analysis (SC'19).
-
Web Chair of International Conference on Parallel Architectures and Compilation Techniques (PACT'19).
-
Co-Chair of the 25th International European Conference on Parallel and Distributed Computing (Euro-Par'19).
-
Co-Organizer of The First International Workshop on the Intersection of High Performance Computing and Machine Learning (HPCaML'19), Held in conjunction with International Symposium on Code Generation and Optimization (CGO'19).
-
Co-Organizer of SIAM Conference on Computational Science and Engineering (SIAM CSE'19) Minisymposium "High Performance Sparse Matrix, Tensor, and Graph Kernels".


This is a final year project which demonstrates a way to represent an operating system solely written web languages such as HTML, CSS, and JavaScript


Enumerations | |
| enum | USB_Host_SendControlErrorCodes_t { HOST_SENDCONTROL_Successful = 0, HOST_SENDCONTROL_DeviceDisconnected = 1, HOST_SENDCONTROL_PipeError = 2, HOST_SENDCONTROL_SetupStalled = 3, HOST_SENDCONTROL_SoftwareTimeOut = 4 } |
Functions | |
| uint8_t | USB_Host_SendControlRequest (void *const BufferPtr) |
Module for host mode request processing. This module allows for the transmission of standard, class and vendor control requests to the default control endpoint of an attached device while in host mode.
Enum for the USB_Host_SendControlRequest() return code, indicating the reason for the error if the transfer of the request is unsuccessful.
| uint8_t USB_Host_SendControlRequest | ( | void *const | BufferPtr ) |
Sends the request stored in the USB_ControlRequest global structure to the attached device, and transfers the data stored in the buffer to the device, or from the device to the buffer as requested. The transfer is made on the currently selected pipe.
| [in] | BufferPtr | Pointer to the start of the data buffer if the request has a data stage, or NULL if the request transfers no data to or from the device. |


User Name
Email
Role
Locked???
Action
{{user.name}}
{{user.email}}
{{user.role}}
{{user.lock}}
Delete
Edit
Unlock
Lock
Add new user
Name:
Email:
Password:
Save


Seven teenagers released by police after train driver attacked in Rugeley
Seven teenage boys who were arrested after a train driver was attacked in Rugeley have been released under investigation.
by Dayna FarringtonThe suspects, from the Cannock and Walsall areas, were detained after boys were seen jumping on and off a train, attacking a driver at Rugeley Town station and causing trouble in the town centre.
The man suffered burising and was treated in hospital.
Police were called to Sandy Lane near the station at 6.50pm on Thursday, following reports of affray.
Three teenagers from the Walsall area, aged 16, 17 and 18, were arrested on suspicion of affray alongside two 16-year-olds from Cannock and a 16-year-old from Brownhills.
They have since been released under investigation while officers carry out further enquiries.
A spokesman for British Transport Police said: "Officers were called at 6.53pm on December 5 to Rugeley Town station following a report of affray.
"A number of youths are reported to have attacked a man at the station. He suffered bruising and was treated in hospital.
"Following a search of the area, seven people were arrested. They were later released under investigation while officers carry out further enquiries.”


| Invoice Number | Order Date | Total Price | Invoice (Download as .pdf) |
|---|---|---|---|
| {{ invoice.id }} | {{ invoice.orderDate }} | {{ invoice.totalPrice }} | Download PDF |
| Invoice Number | Order Date | Total Price | Invoice (Download as .pdf) |
|---|---|---|---|
| {{ invoice.id }} | {{ invoice.orderDate }} | {{ invoice.totalPrice }} | Download PDF |


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serve
Static file serving and directory listing.
More information: home page
- Start an HTTP server listening on the default port to serve the current directory:
serve
- Start an HTTP server on a specific [p]ort to serve a specific directory:
serve -p port path/to/directory
- Start an HTTP server with CORS enabled by including the `Access-Control-Allow-Origin: *` header in all responses:
serve --cors
- Start an HTTP server on the default port rewriting all not-found requests to the `index.html` file:
serve --single
- Start an HTTPS server on the default port using the specified certificate:
serve --ssl-cert path/to/cert.pem --ssl-key path/to/key.pem
- Start an HTTP server on the default port using a specific configuration file:
serve --config path/to/serve.json
- Display help:
serve --help


Functions to compute and display the area-based deviation between spatial paths and to compute a mapping based on minimizing area and distance-based cost. For details, see: Mueller, S. T., Perelman, B. S., & Veinott, E. S. (2016) <doi:10.3758/s13428-015-0562-7>.
| Version: | 1.0.2 |
| Published: | 2017-03-22 |
| Author: | Shane T. Mueller & Brandon S. Perelman |
| Maintainer: | Shane T. Mueller <shanem at mtu.edu> |
| License: | GPL-2 |
| URL: | https://sites.google.com/a/mtu.edu/mapping/, https://github.com/stmueller/pathmapping/ |
| NeedsCompilation: | yes |
| Citation: | pathmapping citation info |
| CRAN checks: | pathmapping results |
| Reference manual: | pathmapping.pdf |
| Package source: | pathmapping_1.0.2.tar.gz |
| Windows binaries: | r-devel: pathmapping_1.0.2.zip, r-release: pathmapping_1.0.2.zip, r-oldrel: pathmapping_1.0.2.zip |
| OS X binaries: | r-release: pathmapping_1.0.2.tgz, r-oldrel: pathmapping_1.0.2.tgz |
| Old sources: | pathmapping archive |
Please use the canonical form https://CRAN.R-project.org/package=pathmapping to link to this page.


Scotland to host New Zealand in 2020
The All Blacks and Argentina will join Japan as Scotland's opponents in the 2020 Autumn Tests at BT Murrayfield.
Scottish Rugby has confirmed that Gregor Townsend's side will open the campaign against the Pumas on the weekend of November 6, followed by the previously announced fixture against the Brave Blossoms a week later.
The Scots will finish the series against the world's number-two ranked side, New Zealand, over the weekend of November 20.
BT Murrayfield is already a 67,000 sell-out for 2020 Calcutta Cup match against England on February 8 in the Guinness Six Nations and head coach Townsend is relishing the challenges in the year ahead.
He said: "Representing your country is the pinnacle of the sport and in 2020 we will have opportunities to pit ourselves against some of the world's leading teams.
"To host Argentina, Japan and New Zealand at BT Murrayfield following our games against England and France in the Six Nations provides fantastic competitive challenges which we look forward to seeing our players embrace."
Scotland's Autumn Test opener against Argentina will be the 19th meeting between the sides, who have won the fixture nine times apiece.
The Scots have triumphed in the last five encounters, however – the 2016 win sandwiched by home-and-away doubles in 2014 and 2018.
Scotland fans will remember the 28-21 defeat to Japan in the World Cup Pool A decider in Yokohama, which saw Townsend's side exit the competition.
The final Autumn Test against New Zealand will be the first meeting between the sides since Scotland came close to a historic first win in 2017, only to lose 22-17.
body check tags ::


brain wrote:No. This isn't helpful for most of users and require much work, for example a own facebook application for just this things.
xXJumpyXx wrote:I agree with brain. Unless we have more users that desire such a feature there isn't any need to implement it.
All that would lead to is to make the BBLog plugin file size bigger and require less work to be done on other features. All that just to please some users.
If you create a thread in the "Custom Plugins" forum section asking for this kind of feature you might get lucky and someone will create it for you.
Don't get me wrong, I'm not saying that this is a bad idea. All I'm saying is that the demand for it at the moment as we see it is low.
I moved the main post to a new thread, clickMrNiceGuy wrote:I understand, feel free to move/copy this thread to the "Custom Plugins" forum section. :)
xXJumpyXx wrote:I moved the main post to a new thread, clickMrNiceGuy wrote:I understand, feel free to move/copy this thread to the "Custom Plugins" forum section. :)http://getbblog.com/viewtopic.php?f=22&t=522I'll keep this thread in case someone wonders why it was rejected as a main BBLog feature.


mFem Crowd Energy
February 12, 2022
My basic agent energy for agent $a$ is kinetic energy
with equality constraints on the start and end points
with inequality constraints on time intervals and end time
To convert this into an mFEM format, we introduce edge lengthsh $s$ and $\lambda$ the lagrange multipliers as a variable.
The continuous energy
where $Q$ is some functiono that extracts lengths from the positions $q$.
In the discrete setting


Rebelo\SaftPt\AuditFile\MasterFiles\MasterFiles::getProduct
Get all Product stack
 Every time that this method is invoked a new Supplier instance is created and add to Supplier stack and than is returned to be populated with values.
 This table shall present the catalogue of products and types of services used in the invoicing system, which have been operated, and also the records, which are implicit in the operations and do not exist in the table of products/services of the application.
If, for instance, there is an invoice with a line of freights that does not exist in the articles’ file of the application, this file shall be exported and represented as a product in the SAF-T (PT). This table shall also show taxes, tax rates, eco taxes, parafiscal charges mentioned in the invoice and contributing or not to the taxable basis for VAT or Stamp Duty - except VAT and Stamp duty, which shall be showed in 2.5. – TaxTable (Table of taxes).
 <xs:element ref="Product" minOccurs="0" maxOccurs="unbounded"/>
Signature
public function getProduct()
Returns
- array


welcome to the official site of (edit) created by lucasfelez for the template with sublime text 2 in html
------------------------------------------------------------------------------------------
goto download
go to tools
UPDATES
v0.1 frist release alpha


heapprof.lowlevel: The low-level API¶
-
class
heapprof.lowlevel.
HPM
(filebase: str)¶ Bases:
object
HPM is the low-level interface to the .hpm file format.
-
property
initialTime
¶ Return the initial time of the profile.
-
property
samplingRate
¶ Return the sampling rate used when generating this heap profile. This is a dict from number of bytes to sampling probability; for an allocation of size X, the sampling probability is given by the entry for the smallest number of bytes in this dict > X. (If there is no such entry, the sampling probability is always 1)
-
rawTrace
(traceindex: int) → Optional[List[heapprof.types.RawTraceLine]]¶ Given a traceindex (of the sort found in an HPDEvent), find the corresponding raw stack trace. Returns None if there is no known trace for this traceindex.
-
trace
(traceindex: int) → Optional[List[heapprof.types.TraceLine]]¶ Given a traceindex (of the sort found in an HPDEvent), find the corresponding stack trace. Returns None if there is no known trace for this traceindex.
-
scaleFactor
(eventSize: int) → float¶ Given an event size, find the appropriate scale factor for it.
-
warmRawTraceCache
() → None¶ rawTrace() can be slow, because it may need to fetch traces out of the HPM file. Calling this function forces that entire load to happen at once.
-
close
() → None¶
-
property
-
class
heapprof.lowlevel.
HPDEvent
¶ Bases:
tuple
A single event stored in a .hpd file.
-
property
timestamp
¶ Alias for field number 0
-
property
traceindex
¶ Alias for field number 1
-
property
size
¶ Alias for field number 2
-
property
scaleFactor
¶ Alias for field number 3
-
property
-
class
heapprof.lowlevel.
HPD
(filebase: str, hpm: Optional[heapprof.lowlevel.HPM] = None)¶ Bases:
collections.abc.Iterable
,typing.Generic
HPD is the low-level interface to a .hpd file.
-
class
heapprof.lowlevel.
HPC
(filebase: str, hpm: Optional[heapprof.lowlevel.HPM] = None)¶ Bases:
collections.abc.Sequence
,typing.Generic
HPC is the low-level interface to .hpc files.
-
close
() → None¶
-
classmethod
make
(filebase: str, timeInterval: float, precision: float, verbose: bool) → None¶ Build a .hpc file out of a .hpm and .hpd file.
- Parameters
filebase – The name of the hpx file to process.
timeInterval – The gap between consecutive snapshots, in seconds.
precision – The fraction of total bytes at any snapshot which can be stuffed into the “other” bin. Must be a number in [0, 1).
verbose – If set, prints out a lot of state to stderr.
-


DBOWLizer Endpoint
Home
Run Process
Outputs
DBOWLizer Outputs Listing
search
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Extracted Ontology
Mappings Ontology
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| 2004 FIRST Robotics Competition Silicon Valley Regional Award Winners | |||
| Award | Team Number | Name | City, State, Country |
| Regional Chairman’s Award | 254 | NASA Ames Research Center/Laron Incorporated/Unity Care Group/Line-X of San Jose/PK Selective Metal Plating, Inc. & Bellarmine College Preparatory | San Jose, CA USA |
| Regional Woodie Flowers Award | 115 | Ted Shinta | |
| Engineering Inspiration Award | 115 | Maxim Integrated Products/Hitachi Data Systems/Datta Family/Sand Hill Challenge/Heller Ehreman Venture Law Group & Monta Vista High School | Cupertino, CA USA |
| Regional Winner 1 | 971 | Mountain View High School | Mountain View, CA USA |
| Regional Winner 2 | 254 | NASA Ames Research Center/Laron Incorporated/Unity Care Group/Line-X of San Jose/PK Selective Metal Plating, Inc. & Bellarmine College Preparatory | San Jose, CA USA |
| Regional Winner 3 | 852 | NASA Ames Research Center & The Athenian School | Danville, CA USA |
| Regional Finalist 1 | 100 | SLAC/Oracle/ConXtech Space Frame Systems/The Shackleton Family Fund/Alan Steel & Woodside/Carlmont High Schools | Woodside, CA USA |
| Regional Finalist 2 | 691 | HR Textron/Numatics Engineering/FEM/Canyon Engineering/Honda R&D/JPL/Raytheon & Hart High School | Newhall, CA USA |
| Regional Finalist 3 | 1280 | San Ramon Valley High School | Danville, CA USA |
| Highest Rookie Seed Award | 1351 | Archbishop Mitty High School & Gunn High School | San Jose, CA USA |
| DaimlerChrysler Team Spirit Award | 473 | Montana State Univeristy/Bitterroot Engineering and Design & Corvallis High School | Corvallis, MT USA |
| Delphi "Driving Tomorrow's Technology" Award | 846 | NASA/Peake Research/DP Product, Inc/Saratoga Systems & Lynbrook High School | San Jose, CA USA |
| General Motors Industrial Design Award | 1351 | Archbishop Mitty High School & Gunn High School | San Jose, CA USA |
| Johnson & Johnson Sportsmanship Award | 1097 | BMB Corporation/Pac Machine Co., Inc./Jonsson Family Trust/Wells Fargo Bank/CyboSoft & Jesuit High School | Carmichael, CA USA |
| Kleiner Perkins Caufield & Byers Entrepreneurship | 114 | Los Altos Rotary/Stanford Univ./Empirical Engineering & Los Altos HS | Los Altos, CA USA |
| Motorola Quality Award | 852 | NASA Ames Research Center & The Athenian School | Danville, CA USA |
| Xerox Creativity Award | 47 | Delphi & Pontiac Central High School | Pontiac, MI USA |
| Imagery Award | 840 | SRI International & Aragon High School | San Mateo, CA USA |
| Leadership in Control Award | 973 | Cal Poly SLO & Atascadero High School | Atascadero, CA USA |
| Website Design Award | 691 | HR Textron/Numatics Engineering/FEM/Canyon Engineering/Honda R&D/JPL/Raytheon & Hart High School | Newhall, CA USA |
| Autodesk Visualization Award - Regional | 253 | Fairchild Semiconductor/DeVincenzi Metal Products Inc. & Mills High School | Millbrae, CA USA |
| Rookie Inspiration Award | 1280 | San Ramon Valley High School | Danville, CA USA |
| Rookie All Star Award | 1422 | Grundfos Pumps/Duncan/Pelco/CSU-Fresno/CVrobotics & CART | Clovis, CA USA |
| Judges Award Friday | 972 | Los Gatos High School | Los Gatos, CA USA |
| Judges Award Saturday | 1120 | Integrated Device Technology (IDT)/TSMC (IC Foundry Leader)/Wells Fargo/Bank of America/United Commercial Bank/Spin Pro/Druai Consulting & Fliptronics/KPCB & MILPITAS H.S./Milpitas Xtreme Robotics | Milpitas, CA USA |
| Outstanding Volunteer Award | Bill Nott |


+++ title = "Christina from California" slug = "christina-from-california" date = 2007-10-27T10:00:00+10:00 tags = ["fellow-travellers", "eccentric-encounters"] locations = ["england/bath"] draft = false summary = """
Christina's at the tail end of a 3-month trip around Europe, where (among other things) she's gone with several of her girlfriends on a road trip through the south-east (including the former Yugoslav Republic — brave girls!). She's in Bath for a few days (at St. Christopher's), before continuing on to Cornwall and south-west England. She's from the Bay Area in California — even better, she's a Berkeley girl.
""" +++Christina's at the tail end of a 3-month trip around Europe, where (among other things) she's gone with several of her girlfriends on a road trip through the south-east (including the former Yugoslav Republic — brave girls!). She's in Bath for a few days (at St. Christopher's), before continuing on to Cornwall and south-west England. She's from the Bay Area in California — even better, she's a Berkeley girl.


The total rotation of the dial was equal to seven octaves but only the five highest or lowest could be selected at any one time by the means of a switch, giving an overlap of three octaves common to both ranges.
Additional vibrato effects could be added by moving the right hand to and fro slightly and the machine also included a push button for articulating the sound. The left hand controlled the volume and timbre – described as similar to a cello, low flute, saxophone or french horn. The Dynaphone generated sound by the by-now standard method of a heterodyning vacuum tube pair, originally used in Leon Termen’s ‘Theremin‘.
To obtain pure fundamentals By means of loading the fundamentals with certain series of harmonics to obtain timbres which will produce new sounds. To speculate on the new sounds that the combination of two or more interfering Dynaphones would create if combined as one instrument. To increase the range of the instrument to reach the highest frequencies which no other instrument can give, together with adequate intensity.


This module provides several subtle things to support multiple Python versions (2.6, 2.7, 3.2, 3.3) and VM implementations (CPython, PyPy).
Makes string to str in Python 2. Makes string to bytes in Python 3.
| Parameters: |
|
|---|
(type) Type for representing binary data. str in Python 2 and bytes in Python 3.
alias of str
If filename is a text_type, encode it to binary_type according to filesystem’s default encoding.
(type, tuple) Types for file objects that have fileno().
Combine multiple context managers into a single nested context manager.
This function has been deprecated in favour of the multiple manager form of the with statement.
The one advantage of this function over the multiple manager form of the with statement is that argument unpacking allows it to be used with a variable number of context managers as follows:
- with nested(*managers):
- do_something()
(type) Type for text data. basestring in Python 2 and str in Python 3.
alias of basestring
Makes string to str in Python 3. Does nothing in Python 2.
| Parameters: | string (bytes, str, unicode) – a string to cast it to text_type |
|---|


Assignment 6
In this assignment, you’ll analyze a collection of data sets from the San Francisco Open Data Portal and Zillow. The data sets have been stored in the SQLite database sf_data.sqlite
, which you can download here. The database contains the following tables:
| Table | Description |
|---|---|
crime |
Crime reports dating back to 2010. |
mobile_food_locations |
List of all locations where mobile food vendors sell. |
mobile_food_permits |
List of all mobile food vendor permits. More details here. |
mobile_food_schedule |
Schedules for mobile food vendors. |
noise |
Noise complaints dating back to August 2015. |
parking |
List of all parking lots. |
parks |
List of all parks. |
schools |
List of all schools. |
zillow |
Zillow rent and housing statistics dating back to 1996. More details here. |
The mobile_food_
tables are explicitly connected through the locationid
and permit
columns. The other tables are not connected, but you may be able to connect them using dates, latitude/longitude, or postal codes.
Shapefiles for US postal codes are available here. These may be useful for converting latitude/longitude to postal codes.
Shapefiles for San Francisco Neighborhoods are available here.
Exercise 1.1. Which mobile food vendor(s) sells at the most locations?
from sqlalchemy import create_engine
import pandas as pd
sf_conn = create_engine('sqlite:///sf_data.sqlite')
sql_query = """
select Applicant, count(distinct locationid) from mobile_food_permits
JOIN mobile_food_schedule ON mobile_food_schedule.permit = mobile_food_permits.permit
group by Applicant
order by count(distinct locationid) desc
"""
pd.read_sql_query(sql_query, sf_conn).head()
| Applicant | count(distinct locationid) | |
|---|---|---|
| 0 | May Catering | 58 |
| 1 | Anas Goodies Catering | 37 |
| 2 | Natan's Catering | 37 |
| 3 | Liang Bai Ping | 33 |
| 4 | Park's Catering | 23 |
From the SQL query, we can see that May Catering sells at the most locations (58 distinct locations).
Anas Goodies Catering and Natan’s Catering follow after.
___
Exercise 1.2. Ask and use the database to analyze 5 questions about San Francisco. For each question, write at least 150 words and support your answer with plots. Make a map for at least 2 of the 5 questions.
You should try to come up with some questions on your own, but these are examples of reasonable questions:
- Which parts of the city are the most and least expensive?
- Which parts of the city are the most dangerous (and at what times)?
- Are noise complaints and mobile food vendors related?
- What are the best times and places to find food trucks?
- Is there a relationship between housing prices and any of the other tables?
Please make sure to clearly state each of your questions in your submission.
Which parts of the city are the most and least expensive?
import geopandas as gpd
#from mpl_toolkits.basemap import Basemap
shp_fn = 'cb_2015_us_zcta510_500k.shp' #shapefile
cities = gpd.read_file(shp_fn)
zips = cities[cities.ZCTA5CE10.str.startswith("9")]
zips = zips[pd.to_numeric(zips.ZCTA5CE10) <= 96199]
# get the prices from the different regions in the zillow db
region_median_price = pd.read_sql_query("select RegionName, avg(zillow.MedianSoldPricePerSqft_AllHomes) median_sqft from zillow group by RegionName", sf_conn)
region_median_price.tail()
| RegionName | median_sqft | |
|---|---|---|
| 21 | 94131 | 560.122866 |
| 22 | 94132 | 385.384982 |
| 23 | 94133 | 638.636839 |
| 24 | 94134 | 347.027455 |
| 25 | 94158 | 657.211820 |
new_zips = zips.reset_index()
# join the shapefile columns with the zillow df to associate price with the map region
new_df = pd.merge(new_zips, region_median_price, how = 'right', left_on = pd.to_numeric(zips.ZCTA5CE10), right_on = 'RegionName')
new_df.head()
| index | AFFGEOID10 | ALAND10 | AWATER10 | GEOID10 | ZCTA5CE10 | geometry | RegionName | median_sqft | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 997 | 8600000US94108 | 698155 | 0 | 94108 | 94108 | POLYGON ((-122.414826 37.794988, -122.404412 3... | 94108 | 501.013201 |
| 1 | 5104 | 8600000US94104 | 200857 | 0 | 94104 | 94104 | POLYGON ((-122.404613 37.793565, -122.401315 3... | 94104 | 1336.128581 |
| 2 | 5154 | 8600000US94122 | 6124846 | 0 | 94122 | 94122 | POLYGON ((-122.50987 37.76409, -122.508335 37.... | 94122 | 453.210167 |
| 3 | 5156 | 8600000US94158 | 1703879 | 1342698 | 94158 | 94158 | POLYGON ((-122.397866 37.772323, -122.396381 3... | 94158 | 657.211820 |
| 4 | 6078 | 8600000US94110 | 6019920 | 12207 | 94110 | 94110 | POLYGON ((-122.426722 37.736372, -122.425082 3... | 94110 | 543.998864 |
%matplotlib inline
import matplotlib.pyplot as plt
fig, ax = plt.subplots(1, figsize=(4,6))
plt.title("Median Price per Sq. Ft in San Francisco")
plt.ylabel("Latitude")
fig.autofmt_xdate()
new_df.plot(ax = ax, column='median_sqft', scheme='QUANTILES', legend = True)
Ignore the purple piece behind the legend.
According to the color-coded map, the areas in brown and yellow are the most expensive areas of SF. The dark purple are the least expensive areas.
We can see that the majority of purple areas are on the bottom part of SF, while the expensive areas are concentrated in the top right.
Some of the expensive neighborhoods could be Mission Bay, Presidio/Presidio Heights, and North Beach.
Which parts of the city are the most dangerous (and at what times)?
Since it is hard to come up with a methodical method to objectively quantify how severe the crimes are, I will treat all crimes equally and rate by crime quantity only.
I did exclude non-criminal incidences, but that did not change the ordering.
# get the districts sorted by the number of crime incidences over all time
pd.read_sql_query("select crime.PdDistrict, count(crime.IncidntNum) from crime where crime.Category != 'NON-CRIMINAL' group by crime.PdDistrict order by count(crime.IncidntNum) desc", sf_conn)
| PdDistrict | IncidntNum) | |
|---|---|---|
| 0 | SOUTHERN | 170602 |
| 1 | MISSION | 119729 |
| 2 | NORTHERN | 110707 |
| 3 | CENTRAL | 94437 |
| 4 | BAYVIEW | 93121 |
| 5 | INGLESIDE | 80217 |
| 6 | TENDERLOIN | 73430 |
| 7 | TARAVAL | 65774 |
| 8 | PARK | 51486 |
| 9 | RICHMOND | 48195 |
| 10 | None | 1 |
# looking at recent years, 2015 onwards
query = """
select crime.PdDistrict, count(crime.IncidntNum) as '# of Crime Incidences 2015-2016' from crime
where crime.Category != 'NON-CRIMINAL' and crime.Datetime > '2015-01-01'
group by crime.PdDistrict
order by count(crime.IncidntNum) desc
"""
pd.read_sql_query(query, sf_conn)
| PdDistrict | # of Crime Incidences 2015-2016 | |
|---|---|---|
| 0 | SOUTHERN | 54189 |
| 1 | NORTHERN | 38172 |
| 2 | MISSION | 35586 |
| 3 | CENTRAL | 33146 |
| 4 | BAYVIEW | 27623 |
| 5 | INGLESIDE | 23434 |
| 6 | TARAVAL | 21279 |
| 7 | TENDERLOIN | 18698 |
| 8 | PARK | 16253 |
| 9 | RICHMOND | 16194 |
| 10 | None | 1 |
# see what types of crimes are most common in the top-crime regions
crime_type_counts = pd.read_sql_query("""select PdDistrict, Category, count(Category) from crime
where crime.PdDistrict in ('SOUTHERN', 'NORTHERN', 'MISSION') and Datetime > '2015-01-01'
group by PdDistrict, crime.Category
order by count(crime.Category) desc""", sf_conn)
crime_type_counts.head(3)
| PdDistrict | Category | count(Category) | |
|---|---|---|---|
| 0 | SOUTHERN | LARCENY/THEFT | 21122 |
| 1 | NORTHERN | LARCENY/THEFT | 15697 |
| 2 | SOUTHERN | NON-CRIMINAL | 7239 |
To see the differences across the 3 regions (Southern, Northern, and Mission), I created a barplot divided by the most common crimes, where each region is a separate color.
import seaborn as sns
g = sns.factorplot(x="Category", y="count(Category)", hue="PdDistrict", data=crime_type_counts.head(21),
size=6, kind="bar", palette="muted")
plt.xticks(rotation=30)
plt.xlabel("Crime Category")
plt.title("Crime Distribution Across Southern, Northern, Mission 2015-2016")
g.despine(left=True)
g.set_ylabels("Count")
<seaborn.axisgrid.FacetGrid at 0x15e59ac8>
From the tables above, we can see which districts are the most dangerous (highest number of crime incidents).
From our findings, Southern is significantly more dangerous (by number of incidences), followed by Mission and Northern.
Interestingly, when you look at crimes from 2015 onwards, Northern has a higher number of incidences than Mission. Mission overall, had 8% more crimes than Northern, but in recent years, Northern has 7% more than Mission.
This could indicate that one neighborhood (Northern) got more dangerous recently and/or Mission got more safe.
The most common crime is theft. Glancing at the graph, Mission crime types seem more serious (i.e. vehicle theft) compared to Northern. Northern only comes higher overall because of the number of thefts. However over most of the other categories, Mission has higher counts.
# don't look at non-criminal
datetimes = pd.read_sql_query("select crime.Datetime from crime where crime.Category != 'NON-CRIMINAL'", sf_conn)
#datetimes.head()
datetimes = list(datetimes["Datetime"])
# extract out the times crimes usually occur at
from datetime import datetime
times = [i[11:] for i in datetimes] # strip off the dates and only get the times
times = [datetime.strptime(entry, '%H:%M:%S') for entry in times] # convert to time type
plt.xticks(rotation=15)
plt.hist(times, bins = 24)
plt.xlabel("Time")
plt.ylabel("Frequency")
plt.title("Time Distribution of Crimes in San Francisco, by Hour")
plt.show()
For times, we can see that it peaks at 7:00PM-8:00PM, followed by 12:00AM-1:00AM. Most of the concentration is from afternoon to midnight. There is a dip in the morning.
Are noise complaints and mobile food vendors related?
# initial look at entries that listed "mobile_food_facility" as the type of noise
food_noise = pd.read_sql_query("select Datetime, Lat, Lon, Neighborhood from noise where Type == 'mobile_food_facility'", sf_conn)
food_noise # there's only 7 entries out of thousands!
| Datetime | Lat | Lon | Neighborhood | |
|---|---|---|---|---|
| 0 | 2016-10-08 15:39:50 | 37.768141 | -122.419785 | Mission |
| 1 | 2016-06-25 23:45:10 | 37.761364 | -122.434097 | Castro |
| 2 | 2016-08-30 21:57:31 | 37.780362 | -122.409218 | South of Market |
| 3 | 2016-10-04 17:43:25 | 37.768141 | -122.419785 | Mission |
| 4 | 2015-09-02 10:57:17 | 37.773512 | -122.450718 | Panhandle |
| 5 | 2016-03-01 06:24:48 | 37.769046 | -122.413270 | Mission |
| 6 | 2016-11-03 16:41:55 | 37.768402 | -122.419721 | Mission |
# generate points for all the food truck locations
truck_locs = pd.read_sql_query("select Latitude, Longitude from mobile_food_locations where Latitude > 30", sf_conn)
import shapely.geometry as geom
lonlat = [geom.Point(lon, lat) for lon, lat in zip(truck_locs.Longitude, truck_locs.Latitude)]
noise_points = truck_locs.drop(["Latitude", "Longitude"], axis = 1)
noise_points = gpd.GeoDataFrame(noise_points, geometry = lonlat)
# generate zip codes based off longitude and latitude
import geocoder
noise = pd.read_sql_query("select Lon, Lat, Neighborhood, Type from noise where Type in ('mobile_food_facility', 'other_excessive_noise') and Lon is not NULL", sf_conn)
noise["zip"] = [(geocoder.google([lat, lon], method='reverse')).postal for lon,lat in zip(noise.Lon, noise.Lat)]
# generate a count for how many noise complaints are in each zip area
noise_counts = pd.DataFrame(pd.Series(noise["zip"]).value_counts()).reset_index()
noise_counts.head()
# because of value_counts, the column names are off
| index | zip | |
|---|---|---|
| 0 | 94122 | 138 |
| 1 | 94109 | 82 |
| 2 | 94110 | 79 |
| 3 | 94112 | 69 |
| 4 | 94103 | 63 |
sf_zips = noise_counts['index'] # for later use. stores (almost) all zips in the SF region
sf_zips = pd.to_numeric(sf_zips)
# merge shapefile df with noise complaints df
noise_locs = pd.merge(new_zips, noise_counts, how = 'right', left_on = pd.to_numeric(zips.ZCTA5CE10), right_on = pd.to_numeric(noise_counts['index']))
# plot num of noise complaints with food truck points
base = noise_locs.plot(column='zip', scheme='QUANTILES', legend = True, cmap = 'GnBu')
plt.title("Number of Noise Complaints and Food Truck Locations")
plt.ylabel("Latitude")
plt.xlabel("Longitude")
fig.autofmt_xdate()
noise_points.plot(ax = base, color = "orangered", markersize = 4, alpha = 0.5)
<matplotlib.axes._subplots.AxesSubplot at 0x28bea6d8>
For this problem, I looked specifically at noise complaints under the type “mobile_food_facility” and “other_execessive_noise” because there were only 7 entries under mobile food, and I felt like at food trucks, there would be noise associated with it (i.e. noisy people eating and talking at the food truck).
I judged correlation based on locations (where noise complaints were, and where food trucks were).
The map divides up number of noise complaints by zip code, and color codes by intensity. The darker shades are ‘noisier’. The orange/red dots are where the food trucks are located.
There may be a correlation between noise and food trucks, but the correlation is not strong. If you look at the top right region where there is a cluster of food trucks, that is one of the lowest noise complaint areas. There are a few purple areas that also have a high number of food trucks.
In addition, we have to take into account that ‘other_execessive_noise’ is very broad, and not all will be related to food trucks.
What are the best times and places to find food trucks?
query = """select StartHour, EndHour, Latitude as Lat, Longitude as Lon from mobile_food_schedule
JOIN mobile_food_locations ON mobile_food_locations.locationid = mobile_food_schedule.locationid
where latitude > 30
group by mobile_food_schedule.locationid"""
truck_time_loc = pd.read_sql_query(query, sf_conn)
lonlat = [geom.Point(lon, lat) for lon, lat in zip(truck_time_loc.Lon, truck_time_loc.Lat)]
truck_points = truck_time_loc.drop(["Lat", "Lon"], axis = 1)
truck_points = gpd.GeoDataFrame(truck_points, geometry = lonlat)
import numpy as np
def hour_range(start, end):
'''
Return a numpy array with the range of hours a specific food truck is open.
'''
if start < end:
return np.arange(start, end + 1)
# when a food truck is open past midnight
else:
end = end + 24
arr = np.arange(start, end + 1)
arr = np.remainder(arr, 24)
return arr
open_hours = [hour_range(StartHour, EndHour) for StartHour, EndHour in zip(truck_points.StartHour, truck_points.EndHour)]
open_hours[0:5]
[array([17, 18, 19, 20], dtype=int64),
array([ 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18], dtype=int64),
array([10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], dtype=int64),
array([ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], dtype=int64),
array([10, 11, 12, 13, 14, 15, 16, 17, 18, 19], dtype=int64)]
all_hours = np.concatenate(open_hours)
plt.hist(all_hours)
plt.title("Open Hours for all Food Trucks in SF")
plt.ylabel("Count")
plt.xlabel("Hour of the Day")
<matplotlib.text.Text at 0x2e826940>
According to the histogram above, you can get food from food trucks during all times of the day.
However, the most popular times are from 8AM to 3PM.
It is assumed that the open hours is generally the same across areas in SF.
# plot locations of all food trucks
SF_shapes = new_zips.loc[pd.to_numeric(new_zips['ZCTA5CE10']).isin(sf_zips)]
base = SF_shapes.plot(color = 'white')
truck_points.plot(ax = base, markersize = 5, alpha = 0.5, color = 'coral')
plt.title("Food Truck Locations in SF")
plt.ylabel("Latitude")
plt.xlabel("Longitude")
<matplotlib.text.Text at 0x2f279c88>
This is a map of San Francisco with all the food truck locations. We can see a high concentration on the east side, particularly near Financial District.
Is there a relationship between housing prices and any of the other tables?
First, look at private school quantities vs. median prices.
private_school_loc = pd.read_sql_query("select Lat, Lon from schools where Category == 'Independent / Private'", sf_conn)
lonlat = [geom.Point(lon, lat) for lon, lat in zip(private_school_loc.Lon, private_school_loc.Lat)]
private_school_loc = gpd.GeoDataFrame(private_school_loc, geometry = lonlat, crs = {'init' :'epsg:4326'})
new_df = new_df.loc[pd.to_numeric(new_df['ZCTA5CE10']).isin(sf_zips)]
base = new_df.plot(column='median_sqft', scheme='QUANTILES', legend = True, cmap = 'YlGnBu')
private_school_loc = private_school_loc.to_crs(new_df.crs)
private_school_loc.plot(ax = base, markersize = 5, alpha = 0.5, color = 'coral')
plt.title("Home Prices and Private Schools Across SF")
plt.ylabel("Latitude")
plt.xlabel("Longitude")
<matplotlib.text.Text at 0x33dbf630>
There are a few points that are off the map. After researching a bit, They belong to the Presidio area and Treasure Island, which did not have any entries inside the Zillow database. Therefore, there was no boundary for that area.
There is somewhat of a correlation between private schools and median price per sq ft. We can see there are more private schools in more expensive areas (which makes sense).
The least expensive areas, biege, appear to have the fewest.
query = "select Lat, Lon from crime where Datetime > '2015-01-01' and Category != 'NON-CRIMINAL'"
crime_locs = pd.read_sql_query(query, sf_conn)
lonlat = [geom.Point(lon, lat) for lon, lat in zip(crime_locs.Lon, crime_locs.Lat)]
crime_locs = gpd.GeoDataFrame(crime_locs, geometry = lonlat)
# looking at recent years, 2015 onwards
query = """
select crime.PdDistrict, count(crime.IncidntNum) as '# of Crime Incidences 2015-2016' from crime
where crime.Category != 'NON-CRIMINAL' and crime.Datetime > '2015-01-01'
group by crime.PdDistrict
order by count(crime.IncidntNum) desc
"""
pd.read_sql_query(query, sf_conn)
| PdDistrict | # of Crime Incidences 2015-2016 | |
|---|---|---|
| 0 | SOUTHERN | 54189 |
| 1 | NORTHERN | 38172 |
| 2 | MISSION | 35586 |
| 3 | CENTRAL | 33146 |
| 4 | BAYVIEW | 27623 |
| 5 | INGLESIDE | 23434 |
| 6 | TARAVAL | 21279 |
| 7 | TENDERLOIN | 18698 |
| 8 | PARK | 16253 |
| 9 | RICHMOND | 16194 |
| 10 | None | 1 |
base = new_df.plot(column='median_sqft', scheme='QUANTILES', legend = True, cmap = 'YlGnBu')
#crime_locs.plot(ax = base, markersize = 5, alpha = 0.5, color = 'coral')
plt.title("Home Prices Across SF")
plt.ylabel("Latitude")
plt.xlabel("Longitude")
<matplotlib.text.Text at 0x13757828>
Since crime_locs, which stores all the points for crimes 2015-present, is over 28,000 rows, I was not able to plot them. Therefore, I just look at the counts of incidences divided by PD District and the median prices map.
When looking at a map of PD Districts in SF (http://sanfranciscopolice.org/police-district-maps), Southern, Northern, and Mission are mostly in the north-east. This is also where prices are medium to high.
It might be because there are richer people in those areas, more crimes occur.


Standard HTML select tags not wrapped in br-select tags will have the same style as ones wrapped. The label must be placed after the select to get the correct style. The layout with no br-select tag wrapper will change deppending on the parent containers css.


Bladder Ultrasound Examination
Clinical information
Incomplete voiding. Assess bladder volume.
Comparison
None.
Observations
Urinary bladder
Measurement
Volume
Pre-void:
cm
mL
Post-void:
cm
mL
Impression


MHS Global
What we do
Partnership
News
Clients
Contact us
Tel: (5511) 85098676
E-mail: mhsglobal@mhsglobal.com.br


User Interface Overview
On initial launch and your ScanState and/or LoadState syntax is blank it will notify you. You can select "Yes" to open up WMU's configuration settings.
>
WMU Main Form
>
The below is a brief overview of the options you have below.
- System Type Information
- You can run either a capture or restore on a local or remote system. Local system utilizes all built in file operations and remote systems rely on copying files and invoking commands via PSExec.
- Select Your Option
- This utility you can either capture or restore user and system information utilizing Microsoft's ® USMT utility.
- USMT Options
- You will see if you select the "Restore" option you have the option to specify a "Custom Decryption Key". This option is for captures that happened outside this utility. For an example you capture the system utilizing Configuration Manager, and for various reasons the restore doesn't work. You can get the encryption key from the database, and now specify the key inside the text box. Don't worry about the length the application creates a text file for it and uses the key file to decrypt.
- Again if you select the "Restore" option you also have the option to utilize USMT Hard Linking. If you select this the custom decryption key section is disabled. There is no need for this option if you are restoring from a hard link capture.
- USMT Path; for capture it will be where the USMT folder is created and then *.MIG file is captured to. For restore this is where the USMT folder is created, for an example "E:\WMU\" or "\\Server\WMU\" and the directory listing has folder inside ".\USMT\USMT.mig".
- Log File Locations
- The log files for ScanState and LoadState are listed in this area. The log files are always on the system where the process is being ran on.


Create Table |
|
|---|---|
Create a gt table object |
|
Preview a gt table object |
|
Create/Modify Parts |
|
Add a table header |
|
Add a spanner column label |
|
Add a row group |
|
Add label text to the stubhead |
|
Add a table footnote |
|
Add a source note citation |
|
Modify the table output options |
|
Add custom styles to one or more cells |
|
Format Data |
|
Set a column format with a formatter function |
|
Format numeric values |
|
Format values to scientific notation |
|
Format values as a percentage |
|
Format values as currencies |
|
Format values as dates |
|
Format values as times |
|
Format values as date-times |
|
Format missing values |
|
Format by simply passing data through |
|
Perform targeted text transformation with a function |
|
Set data cell colors using a palette or a color function |
|
Modify Columns |
|
Set the alignment of columns |
|
Hide one or more columns |
|
Relabel one or more columns |
|
Merge two columns to a single column |
|
Merge two columns to a value range column |
|
Merge two columns to a value & uncertainty column |
|
Move one or more columns |
|
Move one or more columns to the end |
|
Move one or more columns to the start |
|
Create group names and column labels via delimited names |
|
Modify Rows |
|
Modify the ordering of any row groups |
|
Add Rows |
|
Add summary rows using aggregation functions |
|
Export Table |
|
Get the HTML content of a gt table |
|
Output a gt object as LaTeX |
|
Save a gt table as an RTF file |
|
Extract a summary list from a gt object |
|
Shiny Functions |
|
A gt display table render function for use in Shiny |
|
Create a gt display table output element for Shiny |
|
Helper Functions |
|
|
|
Helpers for targeting multiple cells in different locations |
Helper for defining custom styles for table cells |
|
Objects exported from other packages |
|
Interpret input text as Markdown-formatted text |
|
Interpret input text as HTML-formatted text |
|
Helper for providing a numeric value as pixels value |
|
Helper for providing a numeric value as percentage |
|
Perform LaTeX escaping |
|
Adjust the luminance for a palette of colors |
|
Images |
|
Helper function for adding an image from the web |
|
Helper function for adding a local image |
|
Helper function for adding a ggplot |
|
Generate a path to a test image |
|
Information |
|
View a table with info on date styles |
|
View a table with info on time styles |
|
Datasets |
|
Yearly populations of countries from 1960 to 2017 |
|
Twice hourly solar zenith angles by month & latitude |
|
Deluxe automobiles from the 2014-2017 period |
|
Daily S&P 500 Index data from 1950 to 2015 |
|
A year of pizza sales from a pizza place |
|
A toy example tibble for testing with gt: exibble |


Addressing examples taken from https://tools.ietf.org/html/rfc5322.
Appendix A.1.1. A Message from One Person to Another with Simple Addressing
From: John Doe<EMAIL_ADDRESS>Sender: Michael Jones<EMAIL_ADDRESS>To: Mary Smith<EMAIL_ADDRESS>Subject: Saying Hello Date: Fri, 21 Nov 1997 09:55:06 -0600 Message-ID<EMAIL_ADDRESS>So, "Hello".
Appendix A.1.2. Different Types of Mailboxes
From: "Joe Q. Public"<EMAIL_ADDRESS>To: Mary Smith<EMAIL_ADDRESS><EMAIL_ADDRESS>Who<EMAIL_ADDRESS>Cc<EMAIL_ADDRESS>"Giant; "Big" Box"<EMAIL_ADDRESS>Date: Tue, 1 Jul 2003 10:52:37 +0200 Message-ID<EMAIL_ADDRESS>Hi everyone.
Appendix A.1.3. Group Addresses
From: Pete<EMAIL_ADDRESS>To: A Group:Ed Jones <c@a.test>,joe@where.test,John<EMAIL_ADDRESS>Cc: Undisclosed recipients:; Date: Thu, 13 Feb 1969 23:32:54 -0330 Message-ID<EMAIL_ADDRESS>Testing.
Appendix A.2. Reply Messages
To: "Mary Smith: Personal Account"<EMAIL_ADDRESS>From: John Doe<EMAIL_ADDRESS>Subject: Re: Saying Hello Date: Fri, 21 Nov 1997 11:00:00 -0600 Message-ID<EMAIL_ADDRESS>In-Reply-To<EMAIL_ADDRESS>References<EMAIL_ADDRESS><EMAIL_ADDRESS>This is a reply to your reply.
Appendix A.3. Resent Messages
Resent-From: Mary Smith<EMAIL_ADDRESS>Resent-To: Jane Brown<EMAIL_ADDRESS>Resent-Date: Mon, 24 Nov 1997 14:22:01 -0800 Resent-Message-ID<EMAIL_ADDRESS>From: John Doe<EMAIL_ADDRESS>To: Mary Smith<EMAIL_ADDRESS>Subject: Saying Hello Date: Fri, 21 Nov 1997 09:55:06 -0600 Message-ID<EMAIL_ADDRESS>So, "Hello".
Appendix A.4. Messages with Trace Fields
- Received: from x.y.test
- by example.net via TCP with ESMTP id ABC12345 for<EMAIL_ADDRESS>21 Nov 1997 10:05:43 -0600
Received: from node.example by x.y.test; 21 Nov 1997 10:01:22 -0600 From: John Doe<EMAIL_ADDRESS>To: Mary Smith<EMAIL_ADDRESS>Subject: Saying Hello Date: Fri, 21 Nov 1997 09:55:06 -0600 Message-ID<EMAIL_ADDRESS>So, "Hello".
Appendix A.5. White Space, Comments, and Other Oddities
The addresses here are perfectly legal, according to RFC 5322, but we're not going to support all these formats.
From: Pete(A nice ) chap) <pete(his account)@silly.test(his host)> To:A Group(Some people) :Chris Jones <c@(Chris's host.)public.example><EMAIL_ADDRESS>John<EMAIL_ADDRESS>(my dear friend); (the end of the group) Cc:(Empty list)(start)Hidden recipients :(nobody(that I know)) ; Date: Thu, 13 Feb 1969 23:32 -0330 (Newfoundland Time) Message-ID<EMAIL_ADDRESS>Testing.
More addresses that should be matched:
foo+bar@test.email.addressfoo.bar-baz_quux<EMAIL_ADDRESS>These should not be matched:
This is not an email address foo@example. Also not one: @example.com text on other side of it Another non-address @example foo bar baz foo.bar-baz_quux@example-foo_bar.quux


After claims have been generated, the second task is to modify the claim's information content.
True claims will be distorted or mutated as part of the claim generation workflow. This may be achieved by making the sentence negative, substituting words or ideas or by making words more or less specific.
You should aim to generate 1-2 mutations for each box
If it is not possible to make a mutation, leave the box blank.
This is the sentence that is used to substantiate your claims about {{entity}}
Click the word for a definition. These definitions can be used to support the claims you write
Aim to spend about 2 minutes generating these claims.
You are allowed to incorporate your own world knowledge in making these modifications.
If it is not possible to generate facts or misinformation, leave the box blank.
Modify the claim by rephrasing it or providing a paraphrase so that the meaning is preserved. You should aim to substitute entites and relations with synonyms if possible.
The mutated claim must be about {{entity}}.
Change the sentence to negate the meaning.
The mutated claim must be about {{entity}}.
Substitute either a relation, property and/or an attribute of {{entity}} in the claim to something else from the same set of things.
The mutated claim must be about {{entity}}.
Substitute either a relation, property and/or an attribute of {{entity}} in the claim to something else from a different set of things.
The mutated claim must be about {{entity}}.
Modify the claim by replacing either a relation, property and/or an attribute of {{entity}} to something more specific that implies the original claim.
The mutated claim must be about {{entity}}.
Modify the claim by replacing either a relation, property and/or an attribute of {{entity}} to something more general that is implied by the original claim.
The mutated claim must be about {{entity}}.
Modify the claim by rephrasing it or providing a paraphrase so that the meaning is preserved. You should aim to substitute entites and relations with synonyms if possible.
The mutated claim must be about {{entity}}.
Change the sentence to negate the meaning.
The mutated claim must be about {{entity}}.
Substitute either a relation, property and/or an attribute of {{entity}} in the claim to something else from the same set of things.
The mutated claim must be about {{entity}}.
Substitute either a relation, property and/or an attribute of {{entity}} in the claim to something else from a different set of things.
The mutated claim must be about {{entity}}.
Modify the claim by replacing either a relation, property and/or an attribute of {{entity}} to something more specific that implies the original claim.
The mutated claim must be about {{entity}}.
Modify the claim by replacing either a relation, property and/or an attribute of {{entity}} to something more general that is implied by the original claim.
The mutated claim must be about {{entity}}.


I'm Tushar Iyer. I love technology. I've been tinkering with computers since I was a child. I love to travel, and I have lived in multiple cities and countries. I hope to continue travelling post-graduation and would like to visit as many places as I can.
Web Design
I design and create websites for people. I started web design as a minor in my undergrad studies
Programming
Through Computer Science, I am versed in Java, Python, VB and several scripting languages
Student
I am a B.S. Computer Science student with a minor in Economics and Web Design & Development
Work
I work as a System Administrator for my University's CS department and as a Student Ambassador
My Skills
I have completed two internships relating to Computer Science and Web Design. I am already able to use the skills I have learned both from my work and from my education in various projects.
One thing I love doing is taking photos. I publish some of my works to various journals online, but I have collected my works into a single gallery. Click below to visit the gallery.


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At Stellaxius we take your goals seriously, our team becomes part of your team and together we develop your approach to marketing automation. Our consultants will analyse your business and propose the best way to leverage Pardot to improve your marketing and sales results.
By defining a marketing automation implementation roadmap, it will be possible to deliver a solution properly configured and adapted to your business specifications. In the end of the project, our main goal is to deliver above your expectations and make sure your team can manage the technology independently after having the necessary training with us.
If you already have your marketing strategy in place and you are just looking for help to introduce marketing automation in it, you just came to the right place! Our Pardot certified consultants will setup Pardot for you and give your team the training they need to get Pardot running right away.
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The_Librarians
In The Librarians, four ordinary people from around the world are selected to work for the Library, an ancient order dedicated to solving supernatural mysteries and protecting the innocent from the secret magical world all around us.


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Contiki 2.5
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00001 /* 00002 * Copyright (c) 1990 The Regents of the University of California. 00003 * All rights reserved. 00004 * 00005 * Redistribution and use in source and binary forms are permitted 00006 * provided that the above copyright notice and this paragraph are 00007 * duplicated in all such forms and that any documentation, 00008 * advertising materials, and other materials related to such 00009 * distribution and use acknowledge that the software was developed 00010 * by the University of California, Berkeley. The name of the 00011 * University may not be used to endorse or promote products derived 00012 * from this software without specific prior written permission. 00013 * THIS SOFTWARE IS PROVIDED ``AS IS'' AND WITHOUT ANY EXPRESS OR 00014 * IMPLIED WARRANTIES, INCLUDING, WITHOUT LIMITATION, THE IMPLIED 00015 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. 00016 */ 00017 00018 /* 00019 00020 FUNCTION 00021 <<scanf>>, <<fscanf>>, <<sscanf>>---scan and format input 00022 00023 INDEX 00024 scanf 00025 INDEX 00026 fscanf 00027 INDEX 00028 sscanf 00029 00030 ANSI_SYNOPSIS 00031 #include <stdio.h> 00032 00033 int scanf(const char *<[format]> [, <[arg]>, ...]); 00034 int fscanf(FILE *<[fd]>, const char *<[format]> [, <[arg]>, ...]); 00035 int sscanf(const char *<[str]>, const char *<[format]> 00036 [, <[arg]>, ...]); 00037 00038 int _scanf_r(struct _reent *<[ptr]>, const char *<[format]> [, <[arg]>, ...]); 00039 int _fscanf_r(struct _reent *<[ptr]>, FILE *<[fd]>, const char *<[format]> [, <[arg]>, ...]); 00040 int _sscanf_r(struct _reent *<[ptr]>, const char *<[str]>, const char *<[format]> 00041 [, <[arg]>, ...]); 00042 00043 00044 TRAD_SYNOPSIS 00045 #include <stdio.h> 00046 00047 int scanf(<[format]> [, <[arg]>, ...]) 00048 char *<[format]>; 00049 00050 int fscanf(<[fd]>, <[format]> [, <[arg]>, ...]); 00051 FILE *<[fd]>; 00052 char *<[format]>; 00053 00054 int sscanf(<[str]>, <[format]> [, <[arg]>, ...]); 00055 char *<[str]>; 00056 char *<[format]>; 00057 00058 int _scanf_r(<[ptr]>, <[format]> [, <[arg]>, ...]) 00059 struct _reent *<[ptr]>; 00060 char *<[format]>; 00061 00062 int _fscanf_r(<[ptr]>, <[fd]>, <[format]> [, <[arg]>, ...]); 00063 struct _reent *<[ptr]>; 00064 FILE *<[fd]>; 00065 char *<[format]>; 00066 00067 int _sscanf_r(<[ptr]>, <[str]>, <[format]> [, <[arg]>, ...]); 00068 struct _reent *<[ptr]>; 00069 char *<[str]>; 00070 char *<[format]>; 00071 00072 00073 DESCRIPTION 00074 <<scanf>> scans a series of input fields from standard input, 00075 one character at a time. Each field is interpreted according to 00076 a format specifier passed to <<scanf>> in the format string at 00077 <<*<[format]>>>. <<scanf>> stores the interpreted input from 00078 each field at the address passed to it as the corresponding argument 00079 following <[format]>. You must supply the same number of 00080 format specifiers and address arguments as there are input fields. 00081 00082 There must be sufficient address arguments for the given format 00083 specifiers; if not the results are unpredictable and likely 00084 disasterous. Excess address arguments are merely ignored. 00085 00086 <<scanf>> often produces unexpected results if the input diverges from 00087 an expected pattern. Since the combination of <<gets>> or <<fgets>> 00088 followed by <<sscanf>> is safe and easy, that is the preferred way 00089 to be certain that a program is synchronized with input at the end 00090 of a line. 00091 00092 <<fscanf>> and <<sscanf>> are identical to <<scanf>>, other than the 00093 source of input: <<fscanf>> reads from a file, and <<sscanf>> 00094 from a string. 00095 00096 The routines <<_scanf_r>>, <<_fscanf_r>>, and <<_sscanf_r>> are reentrant 00097 versions of <<scanf>>, <<fscanf>>, and <<sscanf>> that take an additional 00098 first argument pointing to a reentrancy structure. 00099 00100 The string at <<*<[format]>>> is a character sequence composed 00101 of zero or more directives. Directives are composed of 00102 one or more whitespace characters, non-whitespace characters, 00103 and format specifications. 00104 00105 Whitespace characters are blank (<< >>), tab (<<\t>>), or 00106 newline (<<\n>>). 00107 When <<scanf>> encounters a whitespace character in the format string 00108 it will read (but not store) all consecutive whitespace characters 00109 up to the next non-whitespace character in the input. 00110 00111 Non-whitespace characters are all other ASCII characters except the 00112 percent sign (<<%>>). When <<scanf>> encounters a non-whitespace 00113 character in the format string it will read, but not store 00114 a matching non-whitespace character. 00115 00116 Format specifications tell <<scanf>> to read and convert characters 00117 from the input field into specific types of values, and store then 00118 in the locations specified by the address arguments. 00119 00120 Trailing whitespace is left unread unless explicitly 00121 matched in the format string. 00122 00123 The format specifiers must begin with a percent sign (<<%>>) 00124 and have the following form: 00125 00126 . %[*][<[width]>][<[size]>]<[type]> 00127 00128 Each format specification begins with the percent character (<<%>>). 00129 The other fields are: 00130 o+ 00131 o * 00132 an optional marker; if present, it suppresses interpretation and 00133 assignment of this input field. 00134 00135 o <[width]> 00136 an optional maximum field width: a decimal integer, 00137 which controls the maximum number of characters that 00138 will be read before converting the current input field. If the 00139 input field has fewer than <[width]> characters, <<scanf>> 00140 reads all the characters in the field, and then 00141 proceeds with the next field and its format specification. 00142 00143 If a whitespace or a non-convertable character occurs 00144 before <[width]> character are read, the characters up 00145 to that character are read, converted, and stored. 00146 Then <<scanf>> proceeds to the next format specification. 00147 00148 o size 00149 <<h>>, <<l>>, and <<L>> are optional size characters which 00150 override the default way that <<scanf>> interprets the 00151 data type of the corresponding argument. 00152 00153 00154 .Modifier Type(s) 00155 . hh d, i, o, u, x, n convert input to char, 00156 . store in char object 00157 . 00158 . h d, i, o, u, x, n convert input to short, 00159 . store in short object 00160 . 00161 . h D, I, O, U, X no effect 00162 . e, f, c, s, p 00163 . 00164 . l d, i, o, u, x, n convert input to long, 00165 . store in long object 00166 . 00167 . l e, f, g convert input to double 00168 . store in a double object 00169 . 00170 . l D, I, O, U, X no effect 00171 . c, s, p 00172 . 00173 . ll d, i, o, u, x, n convert to long long, 00174 . store in long long 00175 . 00176 . L d, i, o, u, x, n convert to long long, 00177 . store in long long 00178 . 00179 . L e, f, g, E, G convert to long double, 00180 . store in long double 00181 . 00182 . L all others no effect 00183 00184 00185 o <[type]> 00186 00187 A character to specify what kind of conversion 00188 <<scanf>> performs. Here is a table of the conversion 00189 characters: 00190 00191 o+ 00192 o % 00193 No conversion is done; the percent character (<<%>>) is stored. 00194 00195 o c 00196 Scans one character. Corresponding <[arg]>: <<(char *arg)>>. 00197 00198 o s 00199 Reads a character string into the array supplied. 00200 Corresponding <[arg]>: <<(char arg[])>>. 00201 00202 o [<[pattern]>] 00203 Reads a non-empty character string into memory 00204 starting at <[arg]>. This area must be large 00205 enough to accept the sequence and a 00206 terminating null character which will be added 00207 automatically. (<[pattern]> is discussed in the paragraph following 00208 this table).  ANSI C leaves the details 00258 to each implementation; this implementation treats 00259 <<%p>> exactly the same as <<%U>>. Corresponding 00260 <[arg]>: <<(void **arg)>>. 00261 o- 00262 00263 A <[pattern]> of characters surrounded by square brackets can be used 00264 instead of the <<s>> type character. <[pattern]> is a set of 00265 characters which define a search set of possible characters making up 00266 the <<scanf>> input field. If the first character in the brackets is a 00267 caret (<<^>>), the search set is inverted to include all ASCII characters 00268 except those between the brackets. There is also a range facility 00269 which you can use as a shortcut. <<%[0-9] >> matches all decimal digits. 00270 The hyphen must not be the first or last character in the set. 00271 The character prior to the hyphen must be lexically less than the 00272 character after it. 00273 00274 Here are some <[pattern]> examples: 00275 o+ 00276 o %[abcd] 00277 matches strings containing only <<a>>, <<b>>, <<c>>, and <<d>>. 00278 00279 o %[^abcd] 00280 matches strings containing any characters except <<a>>, <<b>>, 00281 <<c>>, or <<d>> 00282 00283 o %[A-DW-Z] 00284 matches strings containing <<A>>, <<B>>, <<C>>, <<D>>, <<W>>, 00285 <<X>>, <<Y>>, <<Z>> 00286 00287 o %[z-a] 00288 matches the characters <<z>>, <<->>, and <<a>> 00289 o- 00290 00291 Floating point numbers (for field types <<e>>, <<f>>, <<g>>, <<E>>, 00292 <<F>>, <<G>>) must correspond to the following general form: 00293 00294 . [+/-] ddddd[.]ddd [E|e[+|-]ddd] 00295 00296 where objects inclosed in square brackets are optional, and <<ddd>> 00297 represents decimal, octal, or hexadecimal digits. 00298 o- 00299 00300 RETURNS 00301 <<scanf>> returns the number of input fields successfully 00302 scanned, converted and stored; the return value does 00303 not include scanned fields which were not stored. 00304 00305 If <<scanf>> attempts to read at end-of-file, the return 00306 value is <<EOF>>. 00307 00308 If no fields were stored, the return value is <<0>>. 00309 00310 <<scanf>> might stop scanning a particular field before 00311 reaching the normal field end character, or may 00312 terminate entirely. 00313 00314 <<scanf>> stops scanning and storing the current field 00315 and moves to the next input field (if any) 00316 in any of the following situations: 00317 00318 O+ 00319 o The assignment suppressing character (<<*>>) appears 00320 after the <<%>> in the format specification; the current 00321 input field is scanned but not stored. 00322 00323 o <[width]> characters have been read (<[width]> is a 00324 width specification, a positive decimal integer). 00325 00326 o The next character read cannot be converted 00327 under the the current format (for example, 00328 if a <<Z>> is read when the format is decimal). 00329 00330 o The next character in the input field does not appear 00331 in the search set (or does appear in the inverted search set). 00332 O- 00333 00334 When <<scanf>> stops scanning the current input field for one of 00335 these reasons, the next character is considered unread and 00336 used as the first character of the following input field, or the 00337 first character in a subsequent read operation on the input. 00338 00339 <<scanf>> will terminate under the following circumstances: 00340 00341 O+ 00342 o The next character in the input field conflicts 00343 with a corresponding non-whitespace character in the 00344 format string. 00345 00346 o The next character in the input field is <<EOF>>. 00347 00348 o The format string has been exhausted. 00349 O- 00350 00351 When the format string contains a character sequence that is 00352 not part of a format specification, the same character 00353 sequence must appear in the input; <<scanf>> will 00354 scan but not store the matched characters. If a 00355 conflict occurs, the first conflicting character remains in the input 00356 as if it had never been read. 00357 00358 PORTABILITY 00359 <<scanf>> is ANSI C. 00360 00361 Supporting OS subroutines required: <<close>>, <<fstat>>, <<isatty>>, 00362 <<lseek>>, <<read>>, <<sbrk>>, <<write>>. 00363 */ 00364 00365 #include <_ansi.h> 00366 #include <reent.h> 00367 #include <stdio.h> 00368 #include <string.h> 00369 #ifdef _HAVE_STDC 00370 #include <stdarg.h> 00371 #else 00372 #include <varargs.h> 00373 #endif 00374 #include "local.h" 00375 00376 /* | ARGSUSED */ 00377 /*SUPPRESS 590*/ 00378 static 00379 _READ_WRITE_RETURN_TYPE 00380 eofread (cookie, buf, len) 00381 _PTR cookie; 00382 char *buf; 00383 int len; 00384 { 00385 return 0; 00386 } 00387 00388 #ifndef _REENT_ONLY 00389 00390 #ifdef _HAVE_STDC 00391 int 00392 _DEFUN (sscanf, (str, fmt), _CONST char *str _AND _CONST char *fmt _DOTS) 00393 #else 00394 int 00395 sscanf (str, fmt, va_alist) 00396 _CONST char *str; 00397 _CONST char *fmt; 00398 va_dcl 00399 #endif 00400 { 00401 int ret; 00402 va_list ap; 00403 FILE f; 00404 00405 f._flags = __SRD; 00406 f._bf._base = f._p = (unsigned char *) str; 00407 f._bf._size = f._r = strlen (str); 00408 f._read = eofread; 00409 f._ub._base = NULL; 00410 f._lb._base = NULL; 00411 #ifdef _HAVE_STDC 00412 va_start (ap, fmt); 00413 #else 00414 va_start (ap); 00415 #endif 00416 ret = __svfscanf_r (_REENT, &f, fmt, ap); 00417 va_end (ap); 00418 return ret; 00419 } 00420 00421 #endif /* !_REENT_ONLY */ 00422 00423 #ifdef _HAVE_STDC 00424 int 00425 _DEFUN (_sscanf_r, (ptr, str, fmt), struct _reent *ptr _AND _CONST char *str _AND _CONST char *fmt _DOTS) 00426 #else 00427 int 00428 _sscanf_r (ptr, str, fmt, va_alist) 00429 struct _reent *ptr; 00430 _CONST char *str; 00431 _CONST char *fmt; 00432 va_dcl 00433 #endif 00434 { 00435 int ret; 00436 va_list ap; 00437 FILE f; 00438 00439 f._flags = __SRD; 00440 f._bf._base = f._p = (unsigned char *) str; 00441 f._bf._size = f._r = strlen (str); 00442 f._read = eofread; 00443 f._ub._base = NULL; 00444 f._lb._base = NULL; 00445 #ifdef _HAVE_STDC 00446 va_start (ap, fmt); 00447 #else 00448 va_start (ap); 00449 #endif 00450 ret = __svfscanf_r (ptr, &f, fmt, ap); 00451 va_end (ap); 00452 return ret; 00453 }


A Bit About Reiki
Reiki (pronounced ‘raykey’) is an ancient healing technique discovered in Tibet thousands of years ago. Current Reiki practice can be traced back to 20th century Japan.Our entire universe is made up of energy, including the human body. Throughout the day our bodies are effected by the energy around us and we can become stressed, anxious, depressed, etc. Reiki practitioners direct universal or divine energy through their hands and into the clients body to create a natural sense of relaxation,well-being, and reduction of pain. When our bodies are calm and relaxed it is easier for us to heal.
What Does A Reiki Treatment Look Like?
Before we start your very first session we will take a few minutes to get to know each other, go over any questions you may have, and fill out some paperwork. *Don’t forget to wear your comfy clothes to the session so you are already prepared for relaxation and you get the most out of the experience! When you are ready, I’ll have you will sit fully clothed in an anti-gravity chair or lay comfortably on a massage table, whichever you prefer, and I’ll play some appropriate soft music. It will be very similar to the ambiance of a spa.
The session will begin with me placing my hands on or just above the body in various positions. If you have any specific areas of pain I will work on those areas first. Clients may experience a tingling sensation or warmth on the area being treated, even if I am not using a hands-on approach, but the most noticeable effect of the treatment will be the deep relaxation and overall sense of well-being. Oftentimes clients fall asleep during their session, showing just how relaxed they have become! Your first Reiki treatment will last approximately an hour. Future sessions can be anywhere from 30-60 minutes depending on the clients needs.


| Fig. 1 |
A map of Laikipia County showing the study site |
| Fig. 2 |
Specific land use change per epoch |
| Fig. 3 |
Respondents opinion on changes in harvesting of forest produ ... |
| Fig. 4 |
Changes in species biodiversity |
| Fig. 5 |
Changes in land use (degradation) |
| Fig. 6 |
Mukogodo area average annual rainfall trends |
| Fig. 7 |
Mukogodo area average annual maximum temperatures |
| Fig. 8 |
Mukogodo area average annual minimum temperatures |
| Fig. 9 |
Who addresses the issues of climate change and adaptation in ... |


Source code:
Q.js
The Q object
The root of Q.js is the Q
object.
It provides a single point for attaching all other Q.js functionality to,
thereby avoiding pollution of the global namespace
while keeping everything accessible to us.
It also provides some convenience properties and methods for use across the library.
Most conveniently,
the Q
object is actually a function
that wraps the
Q.Circuit.fromText
function.
This makes defining quantum circuits incredibly brief.
var circuit = Q`
H-X#0
I-X#1
`
See “Writing quantum circuits” for more details.
Properties
Help and inspection
-
- help
Function([ f: Function ]) ⇒ String
Calls and returns the value ofextractDocumentation
, passingf
as the argument. If no argument is supplied, theQ
function is passed. -
- extractDocumentation
Function( f: Function ) ⇒ String
Extracts the first Template literal found within the passedFunction
and returns it as aString
. -
- verbosity
Number
Expected to be a number from0
to1
, inclusive. Throttles the output of built-in console logging. -
- log
Function( verbosityThreshold: Number, … )
Passes remaining arguments toconsole.log
if the current value ofverbosity
is greater than or equal to theverbosityThreshold
argument. -
- warn
Function( … )
Wrapsconsole.warn
. -
- error
Function( … )
Wrapsconsole.error
.
Constants and constant creation
-
- constants
Object
Constants are appended directly to theQ
object. For convenience they are also appended to thisQ.constants
object to make looking up constants in the JavaScript console trivial, and to make iterating across all constants convenient via functions likeObject.entries
,Object.keys
,Object.values
, and so on. The intention that a property act as a constant is signaled by its labelling in all-uppercase. -
- createConstant
Function( key: String, value: * )
Appends a property named bykey
with a value ofvalue
to both theQ
object and itsconstants
property. -
- createConstants
Function( … )
Expects an even number of arguments. Will use each pair in the sequence of arguments to callcreateConstant
. -
- REVISION
Number
The code revision number. The version of Q currently loaded on this web page is revision #NOT FOUND. -
- EPSILON
Number
Initialized equal toNumber.EPSILON * 6
. In the future we may wish to incorporate something like bignumber.js in to Q, but for now this higher epsilon value is necessary for the following equality to be true when using JavaScript’s floating point implementation:var a = new Q.ComplexNumber( 1, 2 ) a.multiply( a ).isEqualTo( a.power( 2 ))
true -
- RADIANS_TO_DEGREES
Number
Initialized equal to180 / Math.PI
. -
- COLORS
Array
Arriving soon. Intended for future use in assigning human-readable, unique-ish identification labels to various objects; in combination with theANIMALS
property. Some examples: Blue Panda, Orange Ocelot, Purple Reindeer. -
- ANIMALS
Array
Arriving soon. Intended for future use in assigning human-readable, unique-ish identification labels to various objects; in combination with theCOLORS
property. Some examples: Pink Camel, Silver Badger, Red Seahorse. -
- ANIMALS3
Array
An alphabetical list of animal names, each exactly three letters long, one per letter of the alphabet. (The current list falls short of running the full alphabet by L, M, Q, U, V, W, X and Z.) Many of these names are currently used as variable names in these documentation code examples.
Maths
-
- hypotenuse
Function( x: Number, y: Number ) ⇒ Number
Returns the hypotenuse length of a right-angled triangle whose other two (shorter) sides are lengthsx
andy
. -
- logHypotenuse
Function( x: Number, y: Number ) ⇒ Number
Returns half of the logarithm ofx
2 +y
2. -
- hyperbolicSine
Function( n: Number ) ⇒ Number
Returns the hyperbolic sine ofn
. -
- hyperbolicCosine
Function( n: Number ) ⇒ Number
Returns the hyperbolic cosine ofn
. -
- round
Function( n: Number[, d: Number ]) ⇒ Number
Returns a number,n
, rounded tod
decimal places. Ifd
is not provided thenn
is rounded to the nearest whole number.
Miscellaneous
-
- toTitleCase
Function( text: String ) ⇒ String
For the suppliedString
replaces underscores with spaces, breaks apart text in to words, capitalizes the first letter of each word, then returns a newString
with these changes. -
- centerText
Function( text: String, length: Number[, filler: String ]) ⇒ String
Returns aString
at leastlength
characters long containing the originaltext
and padded on either side withfiller
such that thetext
is more or less centered within the returnedString
.


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Robin August Fritsch
Robin-August is a 14 year old songwriter from Nashville, TN who has been writing songs for as long as she can remember. Her early inspirations came from a healthy dose of Lennon/ McCartney, and have evolved to include Radiohead's Thom Yorke, Pink Floyd's Roger Waters and Syd Barrett, and YouTube sensation's Dodie Clark. She strives to embody the recording and performance style of Freddie Mercury, Van Halen, Led Zepplin, Janis Joplin and The Runaways.
Robin-August formed a Runaways inspired band Queens of Noise in 2016 with 3 fellow (then) 13 year old friends, and a (then) 11 year old drummer. They have played at many Nashville venues, including the highly rated Tomato Arts Festival which takes place in the heart of Nashville's alternative music scene. Queens of Noise was featured in The East Nashvillian's Women in Rock 2017 issue. http://theeastnashvillian.com/article/queens-of-noise


--- layout: default title: The Design & Content Panel permalink: /events/2015/design-and-content/ --- {% assign currentEvent = page.title %}


BELOVED A film review by Matt Williams
RATING: * * * 1/2* out of * * * *
The movie Beloved is rather like it's title character: unusual, disorienting and not quite what you'd expect. However, that's not to say that the film isn't good (which it is), but rather that it's a difficult beast to classify. It's eerily supernatural, yet with an earthy realism. It's intimate in scale, and yet epic in scope.
Oprah Winfrey stars as Sethe, a woman who ran away from slavery eighteen years earlier, and now lives on the outskirts on Cincinnati.
Yes, you read that right, "poltergeist". Their house is haunted. And while the Amityville-goings-on might scare away anyone with common sense, Sethe is simply tired of running. Besides, the spirit which shakes their house and squeezes their dog isn't evil..."just sad".
But things are stirred up by the arrival of two visitors. The first is Paul D (Danny Glover), a weary man who knew Sethe when they were both slaves at the Sweet Home Plantation. The second is more mysterious, an asthmatic girl (Thandie Newton) who moves like an epileptic puppet and calls herself "Beloved" in a croaking voice.
Jonathan Demme directs this adaptation of Toni Morrison's novel with a hallucinatory flair. Some scenes are oversaturated, others faded. Colors glow, the angles shift... it's almost as if the camera is possessed, as well as the house. Yet, through it all, we are able to connect and bond with the characters, and experience the horrors and triumphs of their story.
Oprah Winfrey could have her pick of roles, and certainly could have picked a more glamorous one than Sethe, but it would have been hard to find a stronger character.  Many an actress might have stumbled in the role, but Oprah is up to the challenge, and delivers Sethe's many facets.
Danny Glover isn't as lucky. His Paul D is as downtrodden as Sethe, but not as nuanced. We learn little about him as the film progresses, and, eventually, he is just cast aside. We see his external feelings towards Sethe, Beloved and Denver, but rarely his motivations.
Thandie Newton is appropriately creepy and charming in the role of Beloved. Though, even at the end of the film, many things about her remain a mystery, it is a fascinating character, and a challenging role. Kimberly Elise's Denver is less showy, but no less well acted.
The storyline of Beloved is complex, but not convoluted. It does require that you pay attention, however. An ill-timed bathroom run during this 3-hour movie may mean you'll be missing the keystone to the whole puzzle. Be warned.
Perhaps the best adjective to describe Beloved is "haunting". Just as Sethe and Paul D are haunted by the past, and just as 124 Bluestone Road is haunted...so too, you'll be haunted by Beloved.
Copyright 1998 Matt Williams
- Matt Williams<EMAIL_ADDRESS>Reviewer for Cinematter: http://www.cinematter.com Home of over 600 reviews, and information on nearly 700 upcoming releases
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


Experience
Experience
Skills
Training
Education
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{{form.place}}
Courses
-
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{{course.description}}
Languages
Contact
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JXHTTPMultipartBody Class Reference
| Inherits from | NSObject |
| Conforms to | JXHTTPRequestBody NSStreamDelegate |
| Declared in | JXHTTPMultipartBody.h |
Overview
JXHTTPMultipartBody
conforms to JXHTTPRequestBody and provides functionality for
mulitpart MIME request bodies (with potentially multiple content types).
File parts are streamed from disk using an NSInputStream
and therefore memory
efficient even in the case of very large files.
Tasks
-
streamBufferLength
The stream buffer size for the file input stream. In most cases you shouldn’t need to change this, the 64K default is intended to match the output stream of
propertyNSURLConnection
. -
+ withDictionary:
Creates a new
JXHTTPMultipartBody
. -
– initWithDictionary:
Creates a new
JXHTTPMultipartBody
. -
– addString:forKey:
Adds a new
text/plain
part with the specified key. -
– setString:forKey:
Adds a new
text/plain
part with the specified key and overwrites any existing value. -
– addData:forKey:contentType:fileName:
Adds a new data part with the specified content type.
-
– setData:forKey:contentType:fileName:
Adds a new data part with the specified content type and overwrites any existing value.
-
– addFile:forKey:contentType:fileName:
Adds a new file part with the specified content type. The file will not be accessed until the connection begins but it must exist at the time it’s added.
-
– setFile:forKey:contentType:fileName:
Adds a new file part with the specified content type. The file will not be accessed until the connection begins but it must exist at the time it’s added. Overwrites any existing value.
Instance Methods
addData:forKey:contentType:fileName:
Adds a new data part with the specified content type.
- (void)addData:(NSData *)data forKey:(NSString *)key contentType:(NSString *)contentTypeOrNil fileName:(NSString *)fileNameOrNil
Parameters
- data
The data.
- key
The key.
- contentTypeOrNil
The content type, or
nil
to default toapplication/octet-stream
.
- fileNameOrNil
A suggested file name for the recipient, ignored by most servers (safe to pass nil).
Declared In
JXHTTPMultipartBody.h
addFile:forKey:contentType:fileName:
Adds a new file part with the specified content type. The file will not be accessed until the connection begins but it must exist at the time it’s added.
- (void)addFile:(NSString *)filePath forKey:(NSString *)key contentType:(NSString *)contentTypeOrNil fileName:(NSString *)fileNameOrNil
Parameters
- filePath
The local path of the file.
- key
The key.
- contentTypeOrNil
The content type, or
nil
to default toapplication/octet-stream
.
- fileNameOrNil
A suggested file name for the recipient, ignored by most servers (safe to pass nil).
Declared In
JXHTTPMultipartBody.h
addString:forKey:
Adds a new text/plain
part with the specified key.
- (void)addString:(NSString *)string forKey:(NSString *)key
Parameters
- string
The value.
- key
The key.
Declared In
JXHTTPMultipartBody.h
initWithDictionary:
Creates a new JXHTTPMultipartBody
.
- (instancetype)initWithDictionary:(NSDictionary *)stringParameters
Parameters
- stringParameters
A dictionary of keys and values that will be added as a
text/plain
part.
Return Value
A multipart request body.
Declared In
JXHTTPMultipartBody.h
setData:forKey:contentType:fileName:
Adds a new data part with the specified content type and overwrites any existing value.
- (void)setData:(NSData *)data forKey:(NSString *)key contentType:(NSString *)contentTypeOrNil fileName:(NSString *)fileNameOrNil
Parameters
- data
The data.
- key
The key.
- contentTypeOrNil
The content type, or
nil
to default toapplication/octet-stream
.
- fileNameOrNil
A suggested file name for the recipient, ignored by most servers (safe to pass nil).
Declared In
JXHTTPMultipartBody.h
setFile:forKey:contentType:fileName:
Adds a new file part with the specified content type. The file will not be accessed until the connection begins but it must exist at the time it’s added. Overwrites any existing value.
- (void)setFile:(NSString *)filePath forKey:(NSString *)key contentType:(NSString *)contentTypeOrNil fileName:(NSString *)fileNameOrNil
Parameters
- filePath
The local path of the file.
- key
The key.
- contentTypeOrNil
The content type, or
nil
to default toapplication/octet-stream
.
- fileNameOrNil
A suggested file name for the recipient, ignored by most servers (safe to pass nil).
Declared In
JXHTTPMultipartBody.h


title: Installing

.main-content:
Use bower to download this extension with all required dependencies.
Depending on requirements you also need to include better-ajaxify-pushstate.js or better-ajaxify-hashchange.js. The first file implements havigation via HTML5 History API and this is preferred option for a website, because it's SEO-friendly. The second uses hash to indicate current state, so it could be useful for web applications.