Objects Hierarchy
Object hierarchy is summarized below :
- A context contains many sites
- A site contains many subnets, vlans, romms and supply sites
- A supply site contains many references
- A subnet contains many IP addresses, some of them are redundancy IP
- A vlan contains many subnets
- A room contains many sets and photos
- A set contains many racks
- A rack contains 1 to 4 photos
- Root surnet in Norm contains many surnet and/or subnets
- NAS : client contains many sites
- NAS : sites contains many devices
- NAS : devices owns monthly statistics
- Authentication : Local or external (LDAP) directories are defined
- Auth : directory contains many roles
- Auth : many users could be members of one role
- Auth : rigths defined association between a context and role rights for this context
- API : Some users could be authorized to use API


Neptune, fourth largest of the planets in the solar system, and eighth major planet in order of increasing distance from the sun. The mean distance of Neptune from the sun is 4.5 billion km, and its mean linear diameter is approximately 49,400 km, or about 3.8 times that of the earth.
Its volume is about 72 times, its mass 17 times, and its mean density 0.31 that of the earth. The period of rotation is about 16 hr, and the period of revolution about the sun is 164.79 earth years. The average stellar magnitude of the planet is 7.8, and it is therefore never visible to the naked eye, but it can be observed in a small telescope as a small, round, greenish-blue disk without definite surface markings.
The temperature of the surface of Neptune is about -218 degrees C , much like Uranus, which is more than 1 billion miles closer to the sun. Scientists assume, therefore, that Neptune must have some internal heat source. The atmosphere consists mostly of hydrogen and helium, but the presence of up to three percent methane gives the planet its striking blue color.
Eight known satellites orbit Neptune, two of which are observable from earth. The largest and brightest is Triton, discovered in 1846, the same year Neptune was first observed. Triton, with a diameter of 2705 km, is only slightly smaller than earth's moon. It has a retrograde orbit-that is, opposite its primary's direction of rotation-unlike any other major satellite in the solar system. Despite its extreme coldness, Triton has a nitrogen atmosphere with some methane and some form of haze, and it displays an active surface of geysers that spout an unknown subsurface material.
Nereid, the second satellite, has a diameter of only about 320 km. Neptune is also circled by five thin rings. Further, its magnetic field is tilted more than 50 degrees to the rotation axis.


This is a simple hero unit, a simple jumbotron-style component for calling extra attention to featured content or information
As a result the translations also do not work. This is the downside of using .md here but can be circumvented by using .html (.kit) files instead
You can read more about .kit here on the Incident57 site.
This is a blockquote. With an image inside it.
The image is utilizing Bootstrap classes for positioning and shape.
These are some words that are emphasized. Some of these words are emphasized also.
Use two asterisks for strong emphasis. Or, if you prefer, use two underscores instead.


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MP3 compressed the music data file allowing for easy transfer across the internet.
David Weekly MP3 Pioneer - David launched an MP3 sharing website at Stanford as a freshman.
Cabel Sasser - Created MP3 player Audion
Justin Frankel - Created MP3 player Winamp
IBM and EMI experimented in 1999 to test if consumers would be willing to purchase music online, download it, and burn it to a CD. They concluded that consumers would not want to do such a thing.
Shawn Fanning started after seeing his roommate spend countless hours trying to find and download music off the internet. Napster allowed users to share their MP3 collections. Napster was the first program Fanning created He tried to keep it among friends, but 10,000 people were using it within the first week. Four months after, Napster had become the faster spreading software with over a million downloads. Napster would run into a series of legal trouble around copyright entrenchment leading to a judgment that shut them down in July 2001
Founded by Christa Wolf and Tom Anderon in 2003 MySpace found early success from music sharing. They had 27 million users by 2005 Became a marketing vehicle Published by News Corp for 640 million bucks.
Founded by Mark Zuckerberg It started for Harvard Students then expanded to other universities. Zuckerberg wanted to map out all the relationships people have. Microsoft purchase 1.6% of Facebook for $240 million


| Trees | Indices | Toggle frames |
|---|
layout.TextLayout --+ | DocumentLabel
Base label class.
A label is a layout that exposes convenience methods for manipulating the associated document.
__init__(self,
document=None,
x=0,
y=0,
width=None,
height=None,
anchor_x=' left ' ,
anchor_y=' baseline ' ,
multiline=False,
dpi=None,
batch=None,
group=None)
Create a label for a given document.
|
|
| object |
get_style(self,
name)
Get a document style value by name.
|
|
set_style(self,
name,
value)
Set a document style value by name over the whole document.
|
|
|
begin_update(self)
Indicate that a number of changes to the layout or document
are about to occur.
(Inherited from pyglet.text.layout.TextLayout)
|
|
|
delete(self)
Remove this layout from its batch.
(Inherited from pyglet.text.layout.TextLayout)
|
|
|
draw(self)
Draw this text layout.
(Inherited from pyglet.text.layout.TextLayout)
|
|
|
end_update(self)
Perform pending layout changes since begin_update.
(Inherited from pyglet.text.layout.TextLayout)
|
|
|
on_delete_text(self,
start,
end)
Event handler for
(Inherited from pyglet.text.layout.TextLayout)
AbstractDocument.on_delete_text . |
|
|
on_insert_text(self,
start,
text)
Event handler for
(Inherited from pyglet.text.layout.TextLayout)
AbstractDocument.on_insert_text . |
|
|
on_style_text(self,
start,
end,
attributes)
Event handler for
(Inherited from pyglet.text.layout.TextLayout)
AbstractDocument.on_style_text . |
| str |
text
The text of the label.
|
| (int, int, int, int) |
color
Text color.
|
| str or list |
font_name
Font family name.
|
| float |
font_size
Font size, in points.
|
| bool |
bold
Bold font style.
|
| bool |
italic
Italic font style.
|
| str |
anchor_x
Horizontal anchor alignment.
(Inherited from pyglet.text.layout.TextLayout)
|
| str |
anchor_y
Vertical anchor alignment.
(Inherited from pyglet.text.layout.TextLayout)
|
| str |
content_valign
Vertical alignment of content within
larger layout box.
(Inherited from pyglet.text.layout.TextLayout)
|
| document (Inherited from pyglet.text.layout.TextLayout) | |
| float |
dpi
Get DPI used by this layout.
(Inherited from pyglet.text.layout.TextLayout)
|
| int |
height
Height of the layout.
(Inherited from pyglet.text.layout.TextLayout)
|
| bool |
multiline
Set if multiline layout is enabled.
(Inherited from pyglet.text.layout.TextLayout)
|
| int |
width
Width of the layout.
(Inherited from pyglet.text.layout.TextLayout)
|
| int |
x
X coordinate of the layout.
(Inherited from pyglet.text.layout.TextLayout)
|
| int |
y
Y coordinate of the layout.
(Inherited from pyglet.text.layout.TextLayout)
|
| Group |
background_group = OrderedGroup(0)
Rendering group for background color.
(Inherited from pyglet.text.layout.TextLayout)
|
| int |
content_height
Calculuated height of the text in the layout.
(Inherited from pyglet.text.layout.TextLayout)
|
| int |
content_width
Calculuated width of the text in the layout.
(Inherited from pyglet.text.layout.TextLayout)
|
| Group |
foreground_decoration_group = TextLayoutForegroundDecorationGr
Rendering group for glyph underlines.
(Inherited from pyglet.text.layout.TextLayout)
|
| Group |
foreground_group = TextLayoutForegroundGroup(1)
Rendering group for glyphs.
(Inherited from pyglet.text.layout.TextLayout)
|
| Group |
top_group = <pyglet.text.layout.TextLayoutGroup object at 0x6a
Top-level rendering group.
(Inherited from pyglet.text.layout.TextLayout)
|
'
left
'
,
anchor_y='
baseline
'
,
multiline=False,
dpi=None,
batch=None,
group=None)
Get a document style value by name.
If the document has more than one value of the named style, pyglet.text.document.STYLE_INDETERMINATE is returned.
Text color.
Color is a 4-tuple of RGBA components, each in range [0, 255].
Font family name.
The font name, as passed to pyglet.font.load. A list of names can optionally be given: the first matching font will be used.
| Trees | Indices | Toggle frames |
|---|
| Generated by Epydoc 3.0beta1 on Sun Mar 22 20:15:41 2009 | http://epydoc.sourceforge.net |


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One of the datatypes Arc supports is binary trees, built out of cons cells. A standard technique in Lisp is to build a binary tree with data at the leaves and cons cells as the interior nodes.
For example, the above balanced tree is expressed as
((1 . 2) . (3 . 4))
, which is normally displayed as
((1 . 2) 3 . 4)
.
The tree does not need to be balanced, for instance, the above tree is
(((1 . 2) . 3) . 4)
.
Arc provides a few operations on binary trees. However, Arc provides no explicit support for generating binary trees. The primitive cons
can be used to join two nodes or subtrees into a tree. The primitives car
and cdr
will return the left and right subtrees (or nodes) respectively.
arc> (= mytree (cons (cons 1 2) (cons 3 4))) ((1 . 2) 3 . 4) arc> (car mytree) (1 . 2) arc> (cdr mytree) (3 . 4) arc> (cadr mytree) 3For more information on cons-cell binary trees, see Wikipedia.


My Morning
- Tortilla chips
- Pico de Gallo
- Guacamole
My Afternoon
I went over some lecture notes from the first class of 343 and then took a nap. Then, I met a friend for dinner.
I went over some lecture notes from the first class of 343 and then took a nap. Then, I met a friend for dinner.


This form is used by the atomic swap participant to create their side of the atomic swap transaction.
The participant is the party that elects to partipate in an atomic swap created by another party (The Initiator).
In this case, the initiator has Ethereum which they have paid into a contract wishing to exchange for Dash.
The initiator will have provided their public key to the participant along with a hash of the secret locking the Ethereum into the swap.


Functions to export graphics drawn with package grid to SVG format. Additional functions provide access to SVG features that are not available in standard R graphics, such as hyperlinks, animation, filters, masks, clipping paths, and gradient and pattern fills.
| Version: | 1.6-0 |
| Depends: | R (≥ 3.1) |
| Imports: | grDevices, graphics, utils, methods, grid, jsonlite, XML |
| Suggests: | lattice |
| Published: | 2017-10-29 |
| Author: | Paul Murrell [cre, aut], Simon Potter [aut] |
| Maintainer: | Paul Murrell <paul at stat.auckland.ac.nz> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | gridSVG results |
| Reference manual: | gridSVG.pdf |
| Vignettes: |
animation extensibility gridSVG |
| Package source: | gridSVG_1.6-0.tar.gz |
| Windows binaries: | r-devel: gridSVG_1.6-0.zip, r-release: gridSVG_1.6-0.zip, r-oldrel: gridSVG_1.6-0.zip |
| OS X binaries: | r-release: gridSVG_1.6-0.tgz, r-oldrel: gridSVG_1.6-0.tgz |
| Old sources: | gridSVG archive |
| Reverse imports: | BrailleR, gridDebug, plotROC, vdmR |
| Reverse suggests: | gridGraphviz, grImport2, RGraphics |
| Reverse enhances: | svgPanZoom |
Please use the canonical form https://CRAN.R-project.org/package=gridSVG to link to this page.


Before starting this tutorial, we assume that you have downloaded and installed the PuppyIR framework along with required associated Python Libraries (this tutorial also requires Whoosh to be installed). If you have not installed the PuppyIR framework and/or Whoosh go to Requirements and Installation and get everything set up.
The MaSe tutorial is designed to show the PuppyIR framework can be used to create an interactive customisable web application, quickly, using the Django web application framework. No Python experience is required to do this tutorial, as there is minimal coding involved and there are instructions regarding what coding there is (failing that, an answer file is included called complete-service.py which includes working code for all the tasks).
Please note, that Javascript must be enabled for this tutorial to work, ask your teacher if this is the case and, if not, get them to enable Javascript for you.
The first step is to download the latest release of the tutorial from the PuppyIR repository using the following command (if you have problems with this step please ask your teacher for help):
$ svn co https://puppyir.svn.sourceforge.net/svnroot/puppyir/trunk/prototypes/mase-tutorial
N.B. depending on your OS and SVN version you may need to append ‘ mase-tutorial’ to the above command.
To run MaSe, execute the following two commands (substituting in the path to where you downloaded MaSe to):
$ cd /path/to/mase-tutorial
$ python manage.py runserver
Now, visit: http://localhost:8000/mase which should bring up the screen shown below (if you are using Internet Explorer you will not get rounded edges for your result boxes):
To search for results either press enter/return in the search box or click on the magnifying glass.
You can customise several aspects of your search engine, as detailed below:
Go ahead and name your search engine now and pick a new colour scheme - your new settings will be saved (using cookies; ask your teacher to enable cookies if they are disabled) so there is no need to do this every time.
However, we don’t have any services added yet and so we will get no results when searching. Let’s fix that now by adding our first search service: web results. Open the service.py file in the mase directory and add the following lines of code, at the bottom of the file(the code comments, the lines starting with #, detail the purpose of each line of code):
# create a SearchService, called 'web_search'
web_search_service = SearchService(service, "web_search")
# Set our SearchService to use the Bing search engine (it defaults to search for web results)
web_search_service.search_engine = Bing(web_search_service)
# add SearchService to our ServiceManager (this handles all the search services MaSe contains)
service.add_search_service(web_search_service)
Now refresh your browser and search for something. You should be presented with results, for your query, in a format similar to what is shown below:
Now, lets limit the number of web results to only three, this is done by changing the line of code shown below to:
# Set the resultsPerPage parameter to 3; this limits the results the service will return
web_search_service.search_engine = Bing(web_search_service, resultsPerPage = 3)
But it’s boring just having one set of results - so lets add images as well. This is done by adding the code below (note the differences and similarities to adding web results):
# create a SearchService, called 'image_search'
image_service = SearchService(service, "image_search")
# Set our SearchService to use Bing but this time with images
image_service.search_engine = Bing(image_service, source='image', resultsPerPage = 3)
# add SearchService to our ServiceManager
service.add_search_service(image_service)
Go ahead and search for something, you should now see both image and web results displayed. You can also drag your results around and place them either on the left, centre, or right result columns; an example of this is shown below:
Now let’s add a query logger to record our queries by adding the code below, just after where we created (and added) the web search service:
# Create a Whoosh Query Logger that records all the unique queries
whoosh_query_logger = WhooshQueryLogger(whoosh_query_index_dir=whoosh_dir, unique=True)
# Add the Whoosh Query Logger to the web_search service
web_search_service.add_query_filter(whoosh_query_logger)
Next we want query suggestions, add the following lines of code to enable this feature:
# create a SearchService, called 'query_suggest_search'
suggest_service = SearchService(service, "query_suggest_search")
# Use the Whoosh Query Engine to record queries
whooshEngine = WhooshQueryEngine(suggest_service, whoosh_query_index_dir=whoosh_dir)
suggest_service.search_engine = whooshEngine
# add SearchService to our ServiceManager
service.add_search_service(suggest_service)
What the suggest_service does is to look at past queries and see if any of them contain terms from the current query. If so, it recommends those past queries as suggestions. The picture below shows query suggestions in action. Go ahead and enter a few queries now to test if the query suggestions are working. Please note, you may need to enter a few queries before any suggestions start appearing, as some queries need to be recorded before they can be recommended as suggestions.
Now that we’ve can retrieve results from three different sources, let’s add some filtering, to stop people using your search engine to search for certain keywords. After the creation of the web_search_service, add the following lines of code to add a BlackListFilter to reject bad queries:
# Create a blacklist filter to block queries containing the terms below
query_black_list = BlackListFilter(terms = "bad worse nasty filthy")
# Add our blacklist filter to the web search service
web_search_service.add_query_filter(query_black_list)
You will notice that if you type in “bad query”, you still get results for the image service. This is because we didn’t add the BlackListFilter to our image_service. Do that now and make sure nothing nasty gets through.
Also, if we added the WhooshQueryLogger before the BlackListFilter then we would record all the nasty queries before rejecting the query and then start to recommend them as suggestions.... ooops! So it is always a good idea to pay attention to your query and document pipelines - re-order these now to stop any bad suggestions being recommended.
Well done, that’s you completed the tutorial. What’s next is up to you, if you want to do more the following two sections contain details for suggestions for extending your search engine further.
So far you’ve added images, web results and query suggestions to MaSe, but there’s more available.
The table below details some other options for other search services that can be added to MaSe, see the code for web_search_service and adapt it using the details provided below:
| Result Source | Service Name | Class Name | Extra parameters |
|---|---|---|---|
| Wikipedia | wiki_search | Wikipedia | |
| Bing News | news_search | Bing | source=’news’ |
| Video (Youtube) | video_search | YouTubeV2 | |
| twitter_search |
If you get stuck adding the above services, then look at the file service-complete.py which includes working code to add them.
You can also add in a past queries section, with the following code, change web_search_service to whatever service to want to log queries (to add to this past queries index) for. This provides users of your search engine with a query history which can, potentially, provide them with interesting query suggestions.
# Log queries sent to the web search service
web_search_service.query_logger = QueryLogger(web_search_service, log_mode=0)
The picture above shows what MaSe looks like with all the above services added to it with the results limited to only show the top result.
There are also a few other parameters you can try out for the video and twitter services beyond resultsPerPage:


This Template is responsible for creating a table of domain objects.
If you modify this template, do not forget to change the overwrite settings
in /Configuration/ExtensionBuilder/settings.yaml:
Resources:
Private:
Templates:
List.html: keep
Otherwise your changes will be overwritten the next time you save the extension in the extension builder
Listing for Car
{brand.name}
New Car


Variable/Feature selection in high or ultra-high dimensional settings has gained a lot of attention recently specially in cancer genomic studies. This package provides a Bayesian approach to tackle this problem, where it exploits mixture of point masses at zero and nonlocal priors to improve the performance of variable selection and coefficient estimation. product moment (pMOM) and product inverse moment (piMOM) nonlocal priors are implemented and can be used for the analyses. This package performs variable selection for binary response and survival time response datasets which are widely used in biostatistic and bioinformatics community. Benefiting from parallel computing ability, it reports necessary outcomes of Bayesian variable selection such as Highest Posterior Probability Model (HPPM), Median Probability Model (MPM) and posterior inclusion probability for each of the covariates in the model. The option to use Bayesian Model Averaging (BMA) is also part of this package that can be exploited for predictive power measurements in real datasets.
| Version: | 1.1.5 |
| Depends: | R (≥ 3.1.0) |
| Imports: | Rcpp, doParallel, foreach, parallel |
| LinkingTo: | Rcpp, RcppArmadillo, RcppEigen, RcppNumerical |
| Suggests: | doMPI |
| Published: | 2018-05-17 |
| Author: | Amir Nikooienejad [aut, cre], Valen E. Johnson [ths] |
| Maintainer: | Amir Nikooienejad <amir at stat.tamu.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | BVSNLP results |
| Reference manual: | BVSNLP.pdf |
| Package source: | BVSNLP_1.1.5.tar.gz |
| Windows binaries: | r-devel: BVSNLP_1.1.5.zip, r-release: BVSNLP_1.1.5.zip, r-oldrel: BVSNLP_1.1.5.zip |
| OS X binaries: | r-release: BVSNLP_1.1.5.tgz, r-oldrel: BVSNLP_1.1.5.tgz |
| Old sources: | BVSNLP archive |
Please use the canonical form https://CRAN.R-project.org/package=BVSNLP to link to this page.


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Tajik Woman Makes Her Feet Do The Hard Work
by RFE/RL's Tajik Service, Neil BowdlerSaodat Khojaeva, 40, from southern Tajikistan, was born with only one deformed arm. She uses her legs to do house chores, including cooking, cleaning, and looking after her three children.


Here is a simple form.
These are some of the results from my awesome JavaScript code. I learned about JavaScript in a class with Girl Develop It.
And this is a picture of a turtle:
Here is a simple form.
These are some of the results from my awesome JavaScript code. I learned about JavaScript in a class with Girl Develop It.
And this is a picture of a turtle:


{% extends "../layout_search.html" %} {% block page_title %} Careers Service - Skills match {% endblock %} {% block content %} {% include "../includes/phase_banner_alpha.html" %} {% include "../includes/breadcrumb_plum_match.html" %} 7 out of 8 Match your skills to: Plumber 7. Do you have time management skills? This involves working efficiently, prioritising tasks and delivering work on time. Got it Working on it or Need to develop it Next Back to question 6 {% endblock %}
or
Next
Back to question 6


General
Mouse Clicks
Always per Website
Automatic Mode
Container Name Prefix
Container Color
blue
turquoise
green
yellow
orange
red
pink
purple
Random Container Color
Container Icon
fingerprint
briefcase
dollar
cart
circle
gift
vacation
food
fruit
pet
tree
chill
Random Container Icon
Container Number
Keep counting
Reuse available Numbers
BrowserAction Icon Color
default
black (simple)
blue (simple)
red (simple)
white (simple)
Save
Global
Per Website
When Mouse Clicks on Links should open new Temporary Containers
Middle Mouse
Always
Only if the clicked Link is not the exact same Domain as the Website
Only if the clicked Link is not the same Domain (includes Subdomains) as the Website
Never
Even when Automatic Mode is not active
Ctrl/Cmd+Left Mouse
Always
Only if the clicked Link is not the exact same Domain as the Website
Only if the clicked Link is not the same Domain (includes Subdomains) as the Website
Never
Even when Automatic Mode is not active
Left Mouse
Always
Only if the clicked Link is not the exact same Domain as the Website
Only if the clicked Link is not the same Domain (includes Subdomains) as the Website
Never
Even when Automatic Mode is not active
Save
On which Websites should Mouse Clicks on Links open new Temporary Containers 🛈
Website Pattern
Middle Mouse
Always
Only if the clicked Link is not the exact same Domain as the Website
Only if the clicked Link is not the same Domain (includes Subdomains) as the Website
Never
Even when Automatic Mode is not active
Ctrl/Cmd+Left Mouse
Always
Only if the clicked Link is not the exact same Domain as the Website
Only if the clicked Link is not the same Domain (includes Subdomains) as the Website
Never
Even when Automatic Mode is not active
Left Mouse
Always
Only if the clicked Link is not the exact same Domain as the Website
Only if the clicked Link is not the same Domain (includes Subdomains) as the Website
Never
Even when Automatic Mode is not active
Add Rule
Website Rules
Which Websites should always open in new Temporary Containers 🛈
Website Pattern
Add Rule
Website Rules


?01442877
5
6
7
8
9
10
T
H
v
.
The
New
York
copyright
reserved
botanical
Garden
PLANTS
OF
THE
NORTHERN
KARST
“Ciudadanos
del
Karso”
Manilkara
valenzuelana
(A.
Richard)
Pennington
SAPOTACEAE
PUERTO
RICO,
Quebradillas,
Bo.
Cocos,
within
houses
and
roads.
Approx.
10o28’30”N,
66°54’00’,W
(map).
Several
big
trees
between
houses.
Sap-sucker
insects
on
fruits.
20
m
high,
brown
unripe
fruits.
J.C.
Trejo
&
M.
Caraballo
&
M.
Abel
#
2498.
Jan.
28,
2004.
01442877
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


The Gallery of Horns
Select By Keyword:
All
Sort By:
Sort By
keyword
Title
Horns
Quick Sort
Sort By Title
Sort By Horns
Pages
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zFiles
Online file Sharing Platform
Thank you for purchasing my theme. If you have any questions that are beyond the scope of this help file, please feel free to email via my user page contact form here. Thanks so much!
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Twitter Bootstrap design
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Cross browser pass
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100% Object Oriented (Laravel)
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Seo friendly URL
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Auto pagination
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Private profiles
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View timestamps when users login
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Custom user profiles
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Social icons used to link to your other sites and sections
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Modal forgotten password screen
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Password Remind – Via User Email
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My Account (“Settings”) page
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Extremely easy to integrate using our Install Wizard
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Reliable and secure MySQL database backend
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Automatic HTML5 & PHP field validation
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Drag and drop multiple file upload
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Update and delete Users
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Update and delete file
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Auto Sortable columns
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Mailbox System allows users on your system to send messages to each other
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Get notifications when User Signup
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View list of recently registered users
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Search through all users
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Reset any user’s password
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Supper admin can change site name, site email and site logo and More ...
* user panel
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- File sharing
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- User accounts
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- Send Multi Files & Emails
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- Add Pages
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Download the file which you have purchased
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Upload Zip File in your server
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Extract the Zip file that you uploaded
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Create a Database using hosting database wizard
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Now Go to your Browser and Check http://www.yourdomain.com
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Give your Database Host Name (Ex: localhost), Database User Name, Password ( That’s given by your Domain & Hosting Provider), Database Name (That’s Name you have already created in number 4) & click Next button.
Then Enter your Admin Username, Email address and Password. Save this information because this information will be open your new account and its needed to log in this system. Now Click Install button
4. Click "Install" and that's it :)
I'd be glad to help you if you have any questions relating to this theme. No guarantees, but I'll do my best to assist. If you have a more general question relating Contact Us at<EMAIL_ADDRESS>also you can asking your question in the "Item Discussion" section.
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Email Us<EMAIL_ADDRESS>I've used the following images, icons or other files as listed.
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Once again, thank you so much for purchasing this theme. As I said at the beginning ..
ShicoSoft


Representation of the distribution of the numerical field.
The entire range of values is divided into bins of equal size.
The height of each bar is proportional to the number of observations in the corresponding bin.
In the top slot, the numerical field to analyze.
In the left slot, the optional categorical field whose breakdown is to be displayed in each bin.
Use the cursor to change the number of bins.


Emirates upgrades its mobile app with 'Airport Maps' feature
by Seher AsafTravellers with Emirates’ mobile app might now find it easier to find check-in desks, Emirates lounges, shops and other touch points at select airports worldwide.
The airline has launched a new feature on its app called Airport Maps, which it said will allow customers to navigate seamlessly through airports. The new feature, which offers live navigation, can detect the user’s location via Bluetooth and wifi and provide point to point navigation through touch points of the airport including check-in desks, Emirates lounges, shops, restaurants or ATMs in the airport. Passengers can also search for their gate through the app.
The new addition to the Emirates app maps out Emirates’ hub – Dubai International Airport’s Terminal 3 – and also includes major airports in the Emirates network: London Heathrow, London Gatwick and Hong Kong International Airport.
Emirates said its app, offered in 19 languages, currently has 1.5 million active users each month and allows customers to search, book and manage their flights as well as their Emirates Skywards accounts.
Last year, Emirates introduced 3D seat models, a form of web virtual reality (VR) technology on its digital platform. The 3D seat model is a visualisation of a 3D 360-degree view of the interior of the Emirates A380 and all the Emirates B777 aircraft types. Emirates’ app also added a feature that lets customers create bespoke playlists of their inflight entertainment ahead of their travels and sync it to their seats once on board.


{% from "includes/_formhelper.html" import render_field %}
Register as a driver with RafuHitch!
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Car brand & Model
Provide us with a short summary about yourself
Password
Login Page


PRESENTS
8 hour Hackathon
31th March 2020
HackMAIT 3.0, the 8 Hours of creating prototypes that innovate on provided themes. Collaborating to code, develop and deploy innovative solutions! Come, hack MAIT!
EVENT DATE
COUNT EVERY SECOND UNTIL THE EVENT
Smart Cities
Providing a well-structured plan for building solutions that will make a city more efficient and intelligent place to live. The problem is to build innovative solutions for a Smarter City and ensure economic growth and improved quality of life by enabling local area development and harnessing technology, especially technology that leads to Smart outcomes.
Smart Education
With the evolution of technology, it has become possible for an individual to learn anything and everything at any point of time & age is no bar. The problem is to design and develop an application/platform which can be used as a means of providing smart education available online and affordable to every class of society and helping them shape their future in a far better way. Smart education is a digital learning portfolio that gives students, teachers and parents a total view of a student's progress and needs. It is a Network-based collaboration to share views, ideas and create new knowledge – a You Tube for educators!
Travel and tourism
As we know that travel and Tourism not only contribute towards more economic activities but also generate more employment, revenues and play a significant role in development. The problem is to provide an outline for new destinations, transportation planning, marketing strategies and the best “combination” to get to those places, over or under booking and price fluctuations are key issues for the travel and tourism industry.
Safety and Security
With the rise in the rate of criminal activities like mugging, burglary, robbery, terrorist activities , it becomes extremely important to eradicate the roots of crime and terror from the entire world. The problem is to design and develop an application/platform/mechanism which can be used as a measure to detect/eliminate terror activities through which timely response can be made to avoid losses.
Waste Management
Lack of awareness is the major cause of rapidly increasing rate of pollution in our country and it’s high time that we should take some quality measures to control pollution for a healthy living. The problem is to build a mechanism through which waste management can be promoted in order to minimise the pollution.
Q) What is a hackathon ?
A Hackathon is an intense event that brings together people like software developers, graphic designers and user interface specialists along with industry process experts and professionals to identify issues and create software solutions.
Q) What do I need to bring to the event ?
This is a very hands-on event. Bring your laptops and mobile phones, but above all, your energy and your brain!
Q) How many members can a team have ?
A team can have anywhere between 2-4 members. 2 being the minimum number and 4 being the maximum number of members.
Q) Can students from other colleges participate ?
YES. Anyone from anywhere can be a part of impulse and HACKMAIT 3.0.
Plot No 1 Rohini, Sector 22, PSP Area, Delhi, 110086


title: Cancellation API
stage: 0
grammar: strict
contributors: Ron Buckton, Ecma International
Introduction
ECMAScript Data Types and Values
ECMAScript Language Types
The Object Type
Well-Known Intrinsic Objects
Fundamental Objects
Error Objects
Native Error Types Used in This Standard
_NativeError_ Object Structure
_NativeError_ Constructors
NativeError ( _message_ )
Control Abstraction Objects


{% blocktrans %}Ask Bernie and Hillary about the issues that are most important to you. Then tune in here to watch the Democratic Open Forum on Thursday, March 3 at 9:00 pm EST. All questions will be chosen from among those that receive the most votes.{% endblocktrans %}


This is the website for our prototype of a smart fridge. An old "dumb" fridge has been retrofitted with a Raspberry Pi, 3 wide-lens cameras, 3 temperature sensors, and 2 weight sensors.
The cameras allow us to see the latest contents of the fridge from 3 different angles.
We also have temperature sensors. Yes, multiple sensors (!), so that we can compare the temperature between the shelves.
We have also added some weight scales so that we can check out exactly how much milk we have left.
The code for this project is open-source and can be found on GitHub.
Find out more about our other projects at monohelixlabs.com.


|
MRSL DecompUtil Library
0.0
An implementaion of convex decomposition over point cloud
|
EllipseDecomp Class. More...
#include <ellipse_decomp.h>
Public Member Functions | |
| EllipseDecomp (bool verbose=false) | |
| Simple constructor. | |
| EllipseDecomp (const Vec3f &origin, const Vec3f &dim, bool verbose=false) | |
| Basic constructor. More... | |
| void | set_obstacles (const vec_Vec3f &obs) |
| Set obstacle points. | |
| void | set_radius (decimal_t r) |
| Set robot radius. | |
| void | set_shrink_distance (decimal_t r) |
| Set shrink distance (usually greater than robot radius) | |
| void | set_virtual_box (const Vec3f &v) |
| Set dimension of virtual bounding box. | |
| vec_Vec3f | get_dilate_path () const |
| Get the path that is used for dilation. | |
| vec_Vec3f | get_center_path () const |
| Get the new path in the center of the Safe Flight Corridor. | |
| Polyhedra | get_polyhedra () const |
| Get the Safe Flight Corridor. | |
| Polyhedra | get_intersect_polyhedra () const |
| Get the intersected part of Safe Flight Corridor. | |
| vec_Ellipsoid | get_ellipsoids () const |
| Get the ellipsoids. | |
| vec_LinearConstraint3f | get_constraints () |
| Get the constraints of SFC as . | |
| decimal_t | get_corridor_volume () |
| Calculate the total volume of the SFC. | |
| decimal_t | get_ellipsoid_volume () |
| Calculate the total volume of the ellipsoids. | |
| void | clean () |
| Clean both dilation and obstacles, reset the whole class. | |
| bool | decomp (const vec_Vec3f &poses) |
| Decomposition thread. More... | |
Protected Member Functions | |
| void | clear () |
| void | add_bounding (Polyhedron &Vs) |
| vec_Vec3f | cal_centers (const Polyhedra &Vs) |
Protected Attributes | |
| vec_Vec3f | dilate_path_ |
| vec_Vec3f | center_path_ |
| vec_Vec3f | obs_ |
| vec_Ellipsoid | ellipsoids_ |
| Polyhedra | polyhedrons_ |
| Polyhedra | intersect_polyhedrons_ |
| std::vector< std::shared_ptr< LineSegment > > | lines_ |
| Vec3f | min_ |
| Vec3f | max_ |
| bool | has_bounding_box_ = false |
| bool | verbose_ = false |
| Vec3f | virtual_ = Vec3f(0, 0, 0) |
| decimal_t | robot_radius_ = 0 |
| decimal_t | shrink_distance_ = 0 |
EllipseDecomp Class.
EllipseDecomp takes input as a given path and find the Safe Flight Corridor around it using Ellipsoids
Basic constructor.
| origin | The origin of the global bounding box |
| dim | The dimension of the global bounding box |
| bool EllipseDecomp::decomp | ( | const vec_Vec3f & | poses | ) |
Decomposition thread.
| poses | The path to dilate |


{% extends 'om/base.html' %} {% load static %} {% block styles %} {% endblock %} {% block content %}
Your password has been set. You will be redirected to the login page...


Travelling: I like visiting new places, especially countryside Painting: Drawing and painting is my alltime favourite pastime Clay Modeling: Moulding clay into various 3D shapes are my new found therapeutic pastime


Welcome to the home page of Drew Miller. Home pages seem like kind of a lost art in this day of twitter and github and medium. The nice thing about home pages, though, is that you can do pretty much whatever you want with them. So with this one I am:
- Writing the front end in AngularJS
- Writing the back end in node.js
- Storing data in Elasticsearch
- Tracking client side performance using Bucky and Boomerang
- General Analytics with Google Analytics
- Styling with Bootstrap (try it on your phone!)
- Adding some cool icons with Font Awesome
- Hosting on Heroku
Preprocessing with Grunt
- Preprocessing with Gulp
- Testing end to end with Protractor
- Continuously Deploying with Travis CI
In my day job I get very little time to program, so this site is an outlet to mess around with the most interesting (to me) things going on in web programming.


We will implement a top analytics solution of your choice. Start collecting data about your users online and using those insights to make decisions.
We create reports for your business. After analytics implementation you will need insights about your online users. We can get you those actionable insights.
We run and analyze site optimization tests on your website. Want to know which messaging or call to action works best for your landing pages? We can help.
We can unlock the power of your data. Use the power of math and statistics to make accurate decisions about your customers and increase your conversions.


Previous | Contents | Index | Next
You have a grid of squares. Some are filled in black; some of the black squares are numbered. Your aim is to ‘light up’ all the empty squares by placing light bulbs in some of them.
Each light bulb illuminates the square it is on, plus all squares in line with it horizontally or vertically unless a black square is blocking the way.
To win the game, you must satisfy the following conditions:
Non-numbered black squares may have any number of lights adjacent to them.
Credit for this puzzle goes to Nikoli [9].
Light Up was contributed to this collection by James Harvey.
[9] https://www.nikoli.co.jp/en/puzzles/akari/
On Android, please touch for left click and long press for right click. Also note that where this manual refers to pressing a letter on the keyboard, the Android version has icons at the bottom of the screen instead (Control and Shift are not available). There is also an optional "Night mode" which uses darker colours in low light.
Left-clicking in a non-black square will toggle the presence of a light in that square. Right-clicking in a non-black square toggles a mark there to aid solving; it can be used to highlight squares that cannot be lit, for example.
You may not place a light in a marked square, nor place a mark in a lit square.
The game will highlight obvious errors in red. Lights lit by other lights are highlighted in this way, as are numbered squares which do not (or cannot) have the right number of lights next to them.
Thus, the grid is solved when all non-black squares have yellow highlights and there are no red lights.
(All the actions described in section 2.1 are also available.)
These parameters are available from the ‘Custom...’ option on the ‘Type’ menu.
This is a hint rather than an instruction. If the grid generator is unable to generate a puzzle to this precise specification, it will increase the proportion of black squares until it can.
On platforms that support user preferences, the ‘Preferences’ option on the ‘Game’ menu will let you configure whether ‘this is not a light’ marks are shown when the square is also lit.


{% extends "base.html" %} {% block title %}
Medieval catalogues > BENEDICTINES > Canterbury College, Oxford > Inventory of books in library of Canterbury College, Oxford, 1443
{% endif %}6 identified entries found.
All data was derived from the List of Identifications by Professor Richard Sharpe.
{% if not printing %}
A key to codes used in the List is available (opens in new tab).{% endif %}


filmcritic.com presents a review from staff member Robert Marley. You can find the review with full credits at http://www.filmcritic.com/misc/emporium.nsf/2a460f93626cd4678625624c007f2b46/e8d729e068d7dec888256925005d70ee?OpenDocument
Ran A film review by Robert Marley- Copyright © 2000 filmcritic.com
Director: Akira Kurosawa Producer: Katsumi Furukawa Screenwriter: Masato Ide, Akira Kurosawa, Hideo Oguni, William Shakespeare Stars: Tatsuya Nakadai, Akira Terao, Jinpachi Nezu, Daisuke Ryu, Mieko Harada, Yoskiko Miyazaki MPAA Rating: R Year of Release: 1985
-------------------------------------
The average movie enthusiast has probably heard the name Akira Kurosawa mentioned with reverence in pretentious film-snob circles or in almost any film school, but chances are the average movie enthusiast probably hasn't bothered to ever really watch any of Kurosawa's films, which is a real shame. For in these films lies the expression of unbelievable talent - a poetry of motion and color - created and painted by a true master of the art of modern cinema. Now in theatrical reissue, casual moviegoers once again have the chance to see Ran, Kurosawa's masterpiece, on the big screen.
 He influenced filmmakers such as Lucas, Spielberg, Coppola, Scorsese and countless others. For example, the movie A Fistful of Dollars was really nothing more than Western remake of the Kurosawa film Yojimbo, and The Magnificent Seven was a remake of The Seven Samurai. The Academy of Motion Picture Arts and Sciences recognized Kurosawa four times in his career, and Ran has won countless awards, including Best Film from the esteemed National Society of Film Critics. The film was Kurosawa's obsession for more than 10 years and he feared that the movie would never be made. When it finally did get financing, it became Japan's most expensive film ever made at the time.
Ran, which translates as "chaos" or "turmoil," is Kurosawa's meditation on Shakespeare's King Lear, mixed with the history of Japan's 16th century Civil Wars, and the Japanese legend of Mori.
At the age of 70, after years of consolidating his empire, the Great Lord Hidetora Ichimonji (played brilliantly by Tatsuya Nadakai) decides to abdicate the throne and divide his domain among his three sons. To illustrate his demand for family unity, Hidetora shows that a single arrow can be easily broken, but three arrows held together are strong. But the loyalty the Great Lord dreams of doesn't happen and his empire falls to family bickering and civil war, with the old lord traveling from son to son in a futile attempt to keep empire and family together.
The film is beautifully well made, with subtle changes in color and texture as the story progresses. The characters makeup resembling an early form of Japanese theater. Epic battles, requiring the use of 1,400 extras and hundreds of horses are shot using a multi-camera technique that Kurosawa himself developed. All of these elements combine to create a feeling of immersion in the story. And while some of the battle scenes seem a bit campy by today's standards - with an overuse of blood that looks more like paint - the overall picture is dramatic, impressive, and visually stunning.
At 2 hours and 40 minutes the film is a bit on the long side for most people but it does not deter from the fact that Ran is an incredible picture worth seeing and talking about. Whether you really are a pretentious film snob or just someone who appreciates seeing something well made, this film is a must-see.
4 1/2 stars
http://www.amazon.com/exec/obidos/redirect?tag=filmcriticcom&path=subst/video/sellers/amazon-top-100-dvd.html Movie Fiends: Check out Amazon.com's Top 100 Hot DVDs!
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


WITNESS LIST Insurance Committee April 28, 2003-10:00A HB 124 For: Johnston, Michael (Self) HB 968 Against: Davis, Will (Texas Association of Life & Health Insurers) Glenn, Eric (Humana, Inc.) HB 1128 For: Carpenter, Bill (Houston Independent School District) HB 1525 For: Hooser, Greg (Texas Association of Insurance Officials) Thompson, Jay (TALHI) HB 1727 Against: Geiger, Richard (AFACT) On: Elliott, Kenneth (Texas Department of Insurance) HB 1923 Against: Thompson, Jay (TALHI) HB 1939 On: Longley, Joey (Sunset Commission) Nesenholtz, Lynda (Texas Department of Insurance) HB 2262 For: Stran, Sputnik (Tx Motorcycle Rights Assoc.) Against: Davis, Will (Texas Assoc. of Life & Health Insurers) HB 2787 For: Thompson, Jay (Medical Protective Company) Against: Galitski, Frank (Tx Alliance for Patient Access (TAPA)) Pickens, Ace (Texas Medical Liability Trust (TMLT)) On: Hamilton, Marilyn (Texas Dept. of Insurance) HB 2869 Against: Pickens, Ace (Texas Medical Liability Trust (TMLT)) On: Hamilton, Marilyn (Texas Dept. of Insurance) HB 2907 For: Crook, Don (Self) HB 3099 For: Avery, Brenda (Self) Avery, Jr., Charles H. (Self) Harris, David (Manhattan Ins. Group) Lamb, Kent (Central United Life Insurance Company) Leverett, Lynn (Worksite Professional Assoc. Inc.) Therrell, Jim (Self) Thompson, Jay (TALHI) On: Brady, Kevin (Texas Department of Insurance) SB 10 For: Davis, Brian (International Association of Businesses) SB 14 Against: Davis, Will (United Services Automobile Association) Earley, Robert (State National Companies) Floyd, Beaman (Allstate, St. Farm, USAA, Nationwide, American Insurance Assoc. (TCAIS)) Geiger, Richard (AFACT) McMahan, Mike (Farmers Mutual Protective Association of Texas) Ruggiero, Denise (State Farm Insurance Companies) Shawn, Jim (Tx Surplus Lines Assoc., Texas Windstorm Insurance Assn., FAIR Plan Assoc.) Stinson, Bill (Texas Association of Realtors) Thompson, Jay (AFACT, Farm Bureau Ins. Cos.) On: Bordelon, Rod (OPIC) Davis, Brian (Ranchers & Farmers Mutual Ins. Co.) Durden, David (Texas Department of Insurance) Klein, Jonathan (Progressive County Mutual Insurance Company) SB 127 Against: Edwards, Lee Ann (Self) On: Davis, Brian (Self) Mintz, David (Texas Apartment Association) SB 422 Against: Geiger, Richard (AFACT)


Description: In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals.Leading AI textbooks define the field as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals whereas Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
Participants should know all the basics of Machine Learning and Artificial Intelligence .
Student should known all Machine Learning and Artificial Intelligence algorithms.
12 hours (Four hour per day)
No
Leave a comment


If you do this, '{{ selectedCategory?.category | lowercase }}' will not be mandatory for any of your staff at the moment.


Note! 1.Please select the character first, before getting the record of comics by the respective character.
2.Some character do not have any comic data, so if you do not get any comic please select different character.
Click on get Comics button to get the comics details


Contact information of investigator(s):
<EMAIL_ADDRESS>Model grid type:
Lambert Conic Conformal
standard latitude 1 = 60
standard latitude 2 = 30
standard longitude = -100
cone factor = 0.7155668
Horizontal grid spacing (or equivalent node spacing for spectral models):
52 km, centered on 35, -100
85 n-s and 101 e-w grid points
Model vertical coordinate and number of vertical levels:
sigma, 23 levels
Model dynnamics:
nonhydrostatic, compressible
Lateral boundary relaxation method and number of points in buffer zone:
Linear nudging of boundary data toward internal solution over 4 grid points
Number of soil layers for which soil temperature is computed:
4 layers (Noah LSM)
Number of soil layers for which soil water content is computed:
4 layers (Noah LSM)
Number of surface vegetation types:
16 land surface classes from US Geological Survey SiB model
Formulation for boundary-layer fluxes (e.g., local K-theory based upon gradient Richardson number):
Hong-Pan (MRF) PBL, using Troen-Mahrt representation of countergradient
term and nonlocal K profile
Representation of explicit precipitation (e.g., rain and ice physics):
Dudhia scheme, simple ice physics
snow and ice clouds only permitted below 0C; liquid clouds only permitted above 0C
snow only permitted below 0C; rain only premitted above 0C
Prognostic variables for explicit precipitation (e.g., cloud water; rain water; number of ice species):
cloud water, rain water
Formulation for convective parameterization (e.g., Kuo-type):
Grell, no shallow convection
Reference(s) containing model description:
Grell, J. Dudhia, and D. R. Stauffer, 1993: A description of the
fifth-generation Penn State/NCAR mesoscale model (MM5). NCAR Tech.
Note NCAR/TN-397+STR. National Center for Atmospheric Research,
Boulder, CO, 200 pp.
Dudhia, J., and J. F. Bresch, 2002: A global version of the PSU-NCAR mesoscale
model. Mon. Wea. Rev., 130, 2989-3007.
Online description
Reference(s) describing land-surface parameterization:
Chen, F., and J. Dudhia, 2001: Coupling an advanced land-surface/hydrology
model with the Penn State/NCAR MM5 modeling system. Part I: Model
implementation and sensitivity. Mon. Wea. Rev., 129, 569-585.
Chen, F., and J. Dudhia, 2001: Coupling an advanced land-surface/hydrology
model with the Penn State/NCAR MM5 modeling system. Part I: Preliminary
model validation. Mon. Wea. Rev., 129, 587-604.
Reference(s) describing convective parameterization:
Kain, J. S., and J. M. Fritsch, 1990: A one-dimensional entraining/detraining
plume model and its application in convective parameterization. J. Atmos.
Sci., 47, 2784-2802.
Reference(s) describing boundary-layer parameterization:
Hong, S.-Y., and H. L. Pan, 1996: Nonlocal boundary layer vertical diffusions
in a medium-range forecast model. Mon. Wea. Rev., 124, 2322-2339.
Reference(s) describing explicit precipitation paramerization:
Dudhia, J., 1989: Numerical study of convection observed during the Winter Monsoon Experiment
using a mesoscale two-dimensional model. J. Atmos. Sci., 46, 3077-3107.


A simple commandline prompt for Node.js
While working on a Node.js automation software I needed to generate some files and code after collecting some information from the user. Most of the modules that I found were a bit of an over-kill, all I wanted was a good old prompt (the browser type) so I decided to write this module.
npm install simple-prompt
Simple prompt accepts an array of question objects
var prompt = require('simple-prompt');
var questions = [
{
question: 'Name',
required: true // required
},
{
question: 'Surname' //optional
},
{
question: 'Age',
required: true, // required
validate: function (answer) {
return parseInt(answer, 10) >= 18; // only 18 or higher
},
filter: function (answer) {
return parseInt(answer, 10); // bring back my answer as a number
}
}
];
prompt(questions, function (answers) {
console.log(answers);
});
The question object
has 4 properties that you can specify:
npm test


I attended FSU from 2005 to 2010 for both my B.S. and M.S. degrees. I graduated from FSU with a B.S. in Mathematics in 2008 and stayed on to get a M.S. in Computer Science in 2010.
I originally started at the University of MD, but transferred after a year and a half. The differences were immense. I went from the feeling of being “just a number” to getting an individualized education in a smaller school. I can’t praise Frostburg enough.
The math program at FSU was fantastic, I learned from a handful of great professors, my favorite being Dr. Hughes. I think I took six or eight classes from him by the time I graduated. I enjoyed Number Theory and Graph Theory the most. I think because the theories and techniques I learned were so readily applied to my programming.
On a whim, while studying for my math degree, I took a computer science class. I took an immediate liking to programming and decided to pursue it. Due to an odd quirk in my timing, it actually would take less time to graduate with a Master’s degree than to switch to a double major. I completed a minor in CS and then worked with the CS department to get a graduate assistantship so I could afford to get a Master’s degree.
Computer Science at Frostburg was an interesting and fun degree. Dr. Chitsaz was the most challenging professor I studied under in both his database and compiler courses. Professor Thiel, who taught digital logic and intro programming classes, and I have stayed in touch and regularly visit when I’m in town, still discussing topics in computer science and outside life.
As a graduate assistant, I developed skills in interpersonal communication as well as a deeper understanding of the course material. I ran the computer lab a few hours a week for lower level programming courses and the new Discrete Mathematics course. I worked with students in office hours and graded homework and projects. Grading taught me more about reading other people’s code and being adaptable in my solutions to problems.
I developed lasting friendships that have carried through to today with my fellow students in both programs at Frostburg. I even landed a job as a result of my contacts and the reputation of my peers.
I can’t recommend Frostburg’s Math and Computer Science programs enough. I learned a ton, felt well prepared for my career, and made lasting relationships with professors and peers.
Header photo taken by Clint Cecil at Rocky Mountain National Park, Wyoming.


A Couple Of Adventures With The Mta Turnstile Dataset
Introduction
When I started my first week at Metis Data Science Bootcamp, I learned about the first project I would have to complete: exploratory data analysis (EDA) on the MTA Turnstile dataset. The point of the project was to advise a fictitious non-profit on the best stations and times to place their street teams advertising their summer gala, their main fundraiser. I learned a lot about EDA, and I’d like to share a few interesting things I learned along the way. I won’t go into the results of that analysis. Rather, this post is about a couple of tangents which caught my attention.
This post is split into two parts: an examination of the .diff() method in pandas, and a cursory exploration of whether the distribution of ridership among the subway stations of the MTA follow an Pareto distribution, or more generally a power law. To perform the data analysis, we used python and jupyter notebooks, with an emphasis on the pandas and matplotlib libraries.
Using the .diff() method
My two partners, Max Barry and Stephen Ilhardt and I decided on the modest of goal of figuring out which station had the largest amount of traffic over roughly the period of May 2018. This ended up being a more difficult task than it at first sounded. The trouble was that the columns in the dataset which were labeled ‘ENTRIES’ and ‘EXITS’ were cumulative counts over long stretches of time. Some of these values were in the 100’s of billions. Clearly, some manipulation was required before this data could be of any use to us.
We ended up finding a quick solution to this problem. Since cumulative values come about through successive addition, taking the difference between consecutive values should undo it. All we had to do was group by the turnstile (represented by the columns ‘C/A’, ‘UNIT’, ‘SCP’, and ‘STATION’) and apply the .diff() function on a pandas dataframe. The following example also contains three lines that turn negative values into postives (who’s every heard of negative foot traffic?) and filters out unreasonably large values.
turnstile = ["C/A", "UNIT", "SCP", "STATION"]
# Makes sure the index is the naturals. Necessary for diff() to work
df.reset_index(inplace=True, drop=True)
df = df.sort_values(turnstile + ['DATE', 'WEEKDAY', 'TIME'])
df[['TOTAL_ENTRIES', 'TOTAL_EXITS']] = df.groupby(turnstile)[['ENTRIES', 'EXITS']].diff()
# make negative values positive
df[['TOTAL_ENTRIES', 'TOTAL_EXITS']] = df[['TOTAL_ENTRIES', 'TOTAL_EXITS']].apply(abs)
# filtering out values larger than 4000
df = df[df['TOTAL_ENTRIES'] < 4000]
df = df[df['TOTAL_EXITS'] < 4000]
This accomplishes what we were trying to achieve very quickly. Contrast with this more long winded strategy:
turnstile = ["C/A", "UNIT", "SCP", "STATION"]
df = df.sort_values(turnstile + ['DATE', 'WEEKDAY', 'TIME'])
df[['PREV_TIME','PREV_ENTRIES','PREV_EXITS']] = \
(df.groupby(turnstile)['TIME','ENTRIES','EXITS']\
.transform(lambda x: x.shift(1)))
def get_entry_counts(row, max_counter):
counter = row["ENTRIES"] - row["PREV_ENTRIES"]
if counter < 0:
counter = -counter
if counter > max_counter:
return 0
return counter
def get_exit_counts(row, max_counter):
counter = row["EXITS"] - row["PREV_EXITS"]
if counter < 0:
counter = -counter
if counter > max_counter:
return 0
return counter
# cut off any entries and exits that were greater than 4000
# took difference between consecutive counts
df["ENTRY_COUNTS"] = df.apply(get_entry_counts, axis=1, max_counter=4000)
df["EXIT_COUNTS"] = df.apply(get_exit_counts, axis=1, max_counter=4000)
The moral of this story is that there is often more than one way to accomplish the same thing. I personally find the .diff() example more readable, but there is of course other criterion for code. For example, perhaps the latter block of code is more computationally efficient. So, how do they compare?
When I timed the first block, it took 3.59 seconds to complete. The second block took 42.8 seconds to complete. The second example took a good order of magnitude longer to execute. It seems that .diff() is optimized to handle this sort of operation.
But is it a Pareto Distribution?
After the project was completed, I decided to go down a rabbit hole. I’ve heard in the past that many phenomena in nature happen to follow a Pareto distribution (e.g., wealth distribution and the population distribution between human settlements). When I looked at a graph of the most trafficked stations ordered by popularity, it seemed to follow a similar pattern. The below graph shows the total foot traffic for roughly the month of May.
The Pareto Distribution
The Pareto Distribution is a probability distribution which is notable for its description of many natural phenomena, as well as its inability to be adequately described by common summary statistics such as mean and standard deviation.
As can be seen from the above image, it is a power law distribution. For that reason, I will end up attempting to fit a general power distribution to the
The 20-80 Principle
“The Pareto principle states that, for many events, roughly 80% of the effects come from 20% of the causes.” - Wikipedia
I did a calculation of the top 20% of stations by total foot traffic. They accounted for 60% of the traffic. This is one mark against following a classic Pareto distribution, though it should be noted that the 20-80 rule is not a hard and fast determination of whether something is a Pareto distribution. The distribution has parameters that can change; and when they change, the level of inequality grows.
The application of this finding to our imaginary client would of course be that focusing only the most popular stations would be sufficient to reach most of the ridership of the MTA. Of course, my client wouldn’t care if this data really follows a Pareto distribution, but, for some reason, I did.
Attempting a Fit
So, here’s what I came up with:
As you can probably see, this is not a very good fit. It quickly dips way below the observed data, before going way over it, and then permanently dipping below it again and even into the negatives. This is basically a disaster.
After doing a little bit of research, I learned that the tails of power-law distributions in general tend to deviate away from the distribution. I cut off both the highest values as well as the lowest values to see if the middle section fit any better.
This definitely still shows that same behavior as before (i.e., under –> over –> under), but this deviation appears to be much less severe than in the first fit. This is actually quite promising.
Conclusion?
I didn’t have time to do rigorous analysis on this data. In my research, I find an interesting article available on arXiv.org arguing that the occurrence of power-laws in empirical data have been vastly over-stated. One thing I would like to do in the future is apply the Kolmogorov-Smirnov test on this data as outlined in the arXiv article to come to a more conclusive result. They even have some code up that looks interesting!
In conclusion, I don’t have too much of a conclusion. I’m pretty confident in saying that the full empirical distribution as observed is not obeying a power law. But, the middle section seems like it could be more promising. If I had spent more time trying to find the right initial estimates for a fit, then maybe an even nicer fit would have popped up. Regardless, a take-away for me is to be more skeptical that a pure power-law or Pareto distribution is in front of me just because of some superficial similarities.


{% extends "base.html" %} {# this can be removed when django 1.4 is EOL, because it is the default behavior in 1.5 #} {% load app_extras %} {# This template defines the common structure for the rpki.gui.app application. #} {% block sidebar %}


--- layout: page title: About header-img: "img/about-bg.png" ---
What I wish to express without being able to speak.


Version 0.9, Mon 31 Mar 2014
Bender is an experimental, declarative language for Web application authoring. It is built on top of HTML5, Javascript and XML and focuses on rich graphical user interfaces. It is free software and is released under the Apache License v2.0.
Bender builds on the idea of declarative languages like HTML, SVG and CSS to describe not only the layout of an application, but also its structure and its behavior. The building block of a Bender application is the component, and an application is described as a hierarchical structure of components, how they are laid out in relation to each other, and how they interact with each other. These component descriptions can be built through a Javascript API, or read and saved in XML. A Bender application is run by loading building its main component in the Bender runtime, and running in a host application; typically, a Web browser. The runtime is written in pure Javascript and has no dependency.
The current documentation consists of:


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| Packages that use InvocationConstraints | |
| net.jini.constraint | Provides a basic implementation of
MethodConstraints and a
TrustVerifier for common constraints.
|
| net.jini.core.constraint | Defines constraints and collections of constraints that can be used to control method invocation, and an interface that proxies implement to allow clients to specify constraints for remote method calls. |
| net.jini.jeri | Provides the fundamental abstractions and standard implementation classes for Jini(TM) extensible remote invocation (Jini ERI). |
| net.jini.jeri.connection | Provides interfaces and classes for implementing connection-based Jini(TM) extensible remote invocation (Jini ERI) transport layer providers. |
| net.jini.jeri.http | Provides implementations of the Endpoint and
ServerEndpoint abstractions that use HTTP
messages sent over TCP sockets as the underlying communication
mechanism. |
| net.jini.jeri.kerberos | Provides implementations of Endpoint and ServerEndpoint that use Kerberos as the underlying
network security protocol to support security related invocation
constraints for remote requests. |
| net.jini.jeri.ssl | Provides implementations of Endpoint and ServerEndpoint that use TLS/SSL and HTTPS (HTTP over
TLS/SSL) to support invocation constraints. |
| net.jini.jeri.tcp | Provides implementations of the Endpoint and
ServerEndpoint abstractions that use TCP sockets
as the underlying communication mechanism.
|
| Uses of InvocationConstraints in net.jini.constraint |
| Methods in net.jini.constraint that return InvocationConstraints | |
InvocationConstraints |
BasicMethodConstraints.getConstraints(Method method)
Returns the constraints for the specified remote method as a non- null value. |
InvocationConstraints |
BasicMethodConstraints.MethodDesc.getConstraints()
Returns the constraints as a non- null value. |
| Constructors in net.jini.constraint with parameters of type InvocationConstraints | |
BasicMethodConstraints(InvocationConstraints constraints)
Creates an instance that maps all methods to the specified constraints. |
|
BasicMethodConstraints.MethodDesc(String name,
Class[] types,
InvocationConstraints constraints)
Creates a descriptor that only matches methods with exactly the specified name and parameter types. |
|
BasicMethodConstraints.MethodDesc(String name,
InvocationConstraints constraints)
Creates a descriptor that matches all methods with names that equal the specified name or that match the specified pattern, regardless of their parameter types. |
|
BasicMethodConstraints.MethodDesc(InvocationConstraints constraints)
Creates a default descriptor that matches all methods. |
| Uses of InvocationConstraints in net.jini.core.constraint |
| Fields in net.jini.core.constraint declared as InvocationConstraints | |
static InvocationConstraints |
InvocationConstraints.EMPTY
An empty instance, one that has no requirements and no preferences. |
| Methods in net.jini.core.constraint that return InvocationConstraints | |
InvocationConstraints |
MethodConstraints.getConstraints(Method method)
Returns the constraints for the specified method as a non- null value. |
static InvocationConstraints |
InvocationConstraints.combine(InvocationConstraints constraints1,
InvocationConstraints constraints2)
Returns an instance of this class that has all of the requirements from each non- null argument added as requirements and has all
of the preferences from each non-null argument added as
preferences. |
InvocationConstraints |
InvocationConstraints.makeAbsolute(long baseTime)
Returns an instance of this class equal to the result of taking the requirements and preferences in this instance, replacing each constraint that is an instance of RelativeTimeConstraint with
the result of invoking that constraint's makeAbsolute
method with the specified base time, and creating a new instance of
this class with duplicate requirements, duplicate preferences, and
preferences that are duplicates of requirements all removed. |
InvocationConstraints |
InvocationConstraints.makeAbsolute()
Returns an instance of this class constructed from all of the same requirements and preferences as this instance, but with every constraint that is an instance of RelativeTimeConstraint
replaced by the result of invoking the constraint's
makeAbsolute method with the current time (as given by
System.currentTimeMillis ). |
| Methods in net.jini.core.constraint with parameters of type InvocationConstraints | |
static InvocationConstraints |
InvocationConstraints.combine(InvocationConstraints constraints1,
InvocationConstraints constraints2)
Returns an instance of this class that has all of the requirements from each non- null argument added as requirements and has all
of the preferences from each non-null argument added as
preferences. |
| Uses of InvocationConstraints in net.jini.jeri |
| Methods in net.jini.jeri that return InvocationConstraints | |
InvocationConstraints |
InboundRequest.checkConstraints(InvocationConstraints constraints)
Verifies that this request satisfies the transport layer aspects of all of the specified requirements, and returns the requirements that must be at least partially implemented by higher layers in order to fully satisfy the specified requirements. |
InvocationConstraints |
OutboundRequest.getUnfulfilledConstraints()
Returns the requirements that must be at least partially implemented by higher layers in order to fully satisfy the requirements for this request. |
InvocationConstraints |
ServerCapabilities.checkConstraints(InvocationConstraints constraints)
Verifies that this instance supports the transport layer aspects of all of the specified requirements (both in general and in the current security context), and returns the requirements that must be at least partially implemented by higher layers in order to fully satisfy all of the specified requirements. |
| Methods in net.jini.jeri with parameters of type InvocationConstraints | |
OutboundRequestIterator |
BasicObjectEndpoint.newCall(InvocationConstraints constraints)
Returns an OutboundRequestIterator to use to send
a new remote call to the referenced remote object using the
specified constraints.
The constraints must be the complete, absolute constraints for the remote call, combining any client and server constraints for the remote method being invoked, with no relative time constraints. For each |
protected void |
BasicInvocationDispatcher.checkAccess(Remote impl,
Method method,
InvocationConstraints constraints,
Collection context)
Checks that the client has permission to invoke the specified method on the specified remote object. |
OutboundRequestIterator |
ObjectEndpoint.newCall(InvocationConstraints constraints)
Returns an OutboundRequestIterator to use to send
a new remote call to the referenced remote object using the
specified constraints.
|
InvocationConstraints |
InboundRequest.checkConstraints(InvocationConstraints constraints)
Verifies that this request satisfies the transport layer aspects of all of the specified requirements, and returns the requirements that must be at least partially implemented by higher layers in order to fully satisfy the specified requirements. |
InvocationConstraints |
ServerCapabilities.checkConstraints(InvocationConstraints constraints)
Verifies that this instance supports the transport layer aspects of all of the specified requirements (both in general and in the current security context), and returns the requirements that must be at least partially implemented by higher layers in order to fully satisfy all of the specified requirements. |
OutboundRequestIterator |
Endpoint.newRequest(InvocationConstraints constraints)
Returns an OutboundRequestIterator to use to send
a new request to this remote endpoint using the specified
constraints.
|
| Uses of InvocationConstraints in net.jini.jeri.connection |
| Methods in net.jini.jeri.connection that return InvocationConstraints | |
InvocationConstraints |
Connection.getUnfulfilledConstraints(OutboundRequestHandle handle)
Implements OutboundRequest.getUnfulfilledConstraints for a request with
the specified handle. |
InvocationConstraints |
ServerConnection.checkConstraints(InboundRequestHandle handle,
InvocationConstraints constraints)
Implements InboundRequest.checkConstraints for a request with the
specified handle. |
| Methods in net.jini.jeri.connection with parameters of type InvocationConstraints | |
InvocationConstraints |
ServerConnection.checkConstraints(InboundRequestHandle handle,
InvocationConstraints constraints)
Implements InboundRequest.checkConstraints for a request with the
specified handle. |
| Uses of InvocationConstraints in net.jini.jeri.http |
| Methods in net.jini.jeri.http that return InvocationConstraints | |
InvocationConstraints |
HttpServerEndpoint.checkConstraints(InvocationConstraints constraints)
Verifies that this instance supports the transport layer aspects of all of the specified requirements (both in general and in the current security context), and returns the requirements that must be at least partially implemented by higher layers in order to fully satisfy all of the specified requirements. This method may also return preferences that must be at least partially implemented by higher layers in order to fully satisfy some of the specified preferences. For any given constraint, there must be a clear delineation
of which aspects (if any) must be implemented by the transport
layer. This method must not return a constraint (as a
requirement or a preference, directly or as an element of
another constraint) unless this instance can implement all of
those aspects. Also, this method must not return a constraint
for which all aspects must be implemented by the transport
layer. Most of the constraints in the For any The constraints passed to this method may include constraints based on relative time. |
| Methods in net.jini.jeri.http with parameters of type InvocationConstraints | |
InvocationConstraints |
HttpServerEndpoint.checkConstraints(InvocationConstraints constraints)
Verifies that this instance supports the transport layer aspects of all of the specified requirements (both in general and in the current security context), and returns the requirements that must be at least partially implemented by higher layers in order to fully satisfy all of the specified requirements. This method may also return preferences that must be at least partially implemented by higher layers in order to fully satisfy some of the specified preferences. For any given constraint, there must be a clear delineation
of which aspects (if any) must be implemented by the transport
layer. This method must not return a constraint (as a
requirement or a preference, directly or as an element of
another constraint) unless this instance can implement all of
those aspects. Also, this method must not return a constraint
for which all aspects must be implemented by the transport
layer. Most of the constraints in the For any The constraints passed to this method may include constraints based on relative time. |
OutboundRequestIterator |
HttpEndpoint.newRequest(InvocationConstraints constraints)
Returns an OutboundRequestIterator to use to send
a new request to this remote endpoint using the specified
constraints.
The constraints must be the complete, absolute constraints
for the request.
The returned |
| Uses of InvocationConstraints in net.jini.jeri.kerberos |
| Methods in net.jini.jeri.kerberos that return InvocationConstraints | |
InvocationConstraints |
KerberosServerEndpoint.checkConstraints(InvocationConstraints constraints)
|
| Methods in net.jini.jeri.kerberos with parameters of type InvocationConstraints | |
InvocationConstraints |
KerberosServerEndpoint.checkConstraints(InvocationConstraints constraints)
|
OutboundRequestIterator |
KerberosEndpoint.newRequest(InvocationConstraints constraints)
Returns an OutboundRequestIterator to use to send
a new request to this remote endpoint using the specified
constraints.
The constraints must be the complete, absolute constraints
for the request.
The returned |
| Uses of InvocationConstraints in net.jini.jeri.ssl |
| Methods in net.jini.jeri.ssl that return InvocationConstraints | |
InvocationConstraints |
SslServerEndpoint.checkConstraints(InvocationConstraints constraints)
Checks that it is possible to receive requests that either fully or partially satisfy the specified requirements, and returns any constraints that must be fully or partially implemented by higher layers in order to fully satisfy all of the specified requirements. |
InvocationConstraints |
HttpsServerEndpoint.checkConstraints(InvocationConstraints constraints)
Checks that it is possible to receive requests that either fully or partially satisfy the specified requirements, and returns any constraints that must be fully or partially implemented by higher layers in order to fully satisfy all of the specified requirements. |
| Methods in net.jini.jeri.ssl with parameters of type InvocationConstraints | |
InvocationConstraints |
SslServerEndpoint.checkConstraints(InvocationConstraints constraints)
Checks that it is possible to receive requests that either fully or partially satisfy the specified requirements, and returns any constraints that must be fully or partially implemented by higher layers in order to fully satisfy all of the specified requirements. |
OutboundRequestIterator |
SslEndpoint.newRequest(InvocationConstraints constraints)
Returns an OutboundRequestIterator to use to send
a new request to this remote endpoint using the specified
constraints.
The constraints must be the complete, absolute constraints
for the request.
The returned |
InvocationConstraints |
HttpsServerEndpoint.checkConstraints(InvocationConstraints constraints)
Checks that it is possible to receive requests that either fully or partially satisfy the specified requirements, and returns any constraints that must be fully or partially implemented by higher layers in order to fully satisfy all of the specified requirements. |
OutboundRequestIterator |
HttpsEndpoint.newRequest(InvocationConstraints constraints)
Returns an OutboundRequestIterator to use to send
a new request to this remote endpoint using the specified
constraints.
The constraints must be the complete, absolute constraints
for the request.
The returned |
| Uses of InvocationConstraints in net.jini.jeri.tcp |
| Methods in net.jini.jeri.tcp that return InvocationConstraints | |
InvocationConstraints |
TcpServerEndpoint.checkConstraints(InvocationConstraints constraints)
Verifies that this instance supports the transport layer aspects of all of the specified requirements (both in general and in the current security context), and returns the requirements that must be at least partially implemented by higher layers in order to fully satisfy all of the specified requirements. This method may also return preferences that must be at least partially implemented by higher layers in order to fully satisfy some of the specified preferences. For any given constraint, there must be a clear delineation
of which aspects (if any) must be implemented by the transport
layer. This method must not return a constraint (as a
requirement or a preference, directly or as an element of
another constraint) unless this instance can implement all of
those aspects. Also, this method must not return a constraint
for which all aspects must be implemented by the transport
layer. Most of the constraints in the For any The constraints passed to this method may include constraints based on relative time. |
| Methods in net.jini.jeri.tcp with parameters of type InvocationConstraints | |
InvocationConstraints |
TcpServerEndpoint.checkConstraints(InvocationConstraints constraints)
Verifies that this instance supports the transport layer aspects of all of the specified requirements (both in general and in the current security context), and returns the requirements that must be at least partially implemented by higher layers in order to fully satisfy all of the specified requirements. This method may also return preferences that must be at least partially implemented by higher layers in order to fully satisfy some of the specified preferences. For any given constraint, there must be a clear delineation
of which aspects (if any) must be implemented by the transport
layer. This method must not return a constraint (as a
requirement or a preference, directly or as an element of
another constraint) unless this instance can implement all of
those aspects. Also, this method must not return a constraint
for which all aspects must be implemented by the transport
layer. Most of the constraints in the For any The constraints passed to this method may include constraints based on relative time. |
OutboundRequestIterator |
TcpEndpoint.newRequest(InvocationConstraints constraints)
Returns an OutboundRequestIterator to use to send
a new request to this remote endpoint using the specified
constraints.
The constraints must be the complete, absolute constraints
for the request.
The returned |
|
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Jessica Warner, in Craze : Gin And Debauchery In An Age Of Reason (2003) provides what she says is a complete list of victims of spontaneous human combustion in literature from 1798 to 1893.
The narrator's father in Wieland by Charles Brockden Brown (1798)
William the Testy in Knickerbocker's History Of New York by Washington Irving (1809)
A woman in Jacob Faithful by Captain Marryat (1834)
A blacksmith in Dead Souls by Nikolai Gogol (1842)
Sir Polloxfen Tremens in The Glenmutchkin Railway by William Edmondstoune Aytoun (1845)
The sailor Miguel Saveda in Redburn by Herman Melville (1849)
Mr Krook in Bleak House by Charles Dickens (1852–53)
The whisky-sodden and derelict Jimmy Flinn in Life On The Mississippi by Mark Twain (1883)
A character in Docteur Pascal by Emile Zola (1893)
The list does not include the female cook in Charlotte Brontë's Jane Eyre (1847), who was merely “in a frame of mind and body threatening spontaneous combustion”.


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Chartered on June 9th, 1996, Lambda Phi Epsilon's Alpha Beta Chapter at New York University is an Asian interest social fraternity that has
since grown to over 200 lifelong members.
The goals of our chapter includes, but is not limited to, developing active members to become leaders, advancing personal growth, academic
achievement, and promoting Asian American awareness on campus. We also give back to the community through philanthropy organizations such as the Asian-American Bone Marrow Donor Program and Relay for Life.
Our alumni and even some of our current brothers are extremely successful, having worked at companies such as Google, J.P. Morgan Chase, Goldman Sachs, Amazon, Morgan Stanley,
Deloitte, and Bank of America. By joining us, you will be joining an extensive network that reaches across the nation and beyond. To top it all off, we interact and mix heavily with numerous sororities from NYU and
other schools along the East Coast.
By joining us, you will be gaining lifelong relationships, networking and career opportunities, and an overall more fulfilling college career.
Check out the rush schedule to find out more!


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/subset.20of.20a.20subtype.html ---
Does anyone know if this is already in the library?
/-- A subset of a subtype can be thought of as a subset of the type. -/ def set_of_subtype_set {α : Type*} {P : α → Prop} (x : set {a : α // P a}) : set α := {a : α | ∃ (h : P a), (⟨a,h⟩ : {a : α // P a}) ∈ x}
Isn't it just subtype.val '' x
?
subtype.val '' x
is what I write when I want that thing. Not the most obvious way of thinking about it.
But it is automatically a subgroup
or whatever else you might want.
Thank you! :-) :embarrassed:
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


WorldDebug()
语法
WorldDebug(Mode)概要
Changes the world debug mode. This can be very useful to help finding issues with collisions or picking for example.
参数
模式 Can be a combination of the following constants: #PB_World_DebugNone : no debug information (default). #PB_World_DebugEntity: shows the entities bounding boxes. #PB_World_DebugBody : shows the physics bodies, both static and dynamic.
返回值
无.
已支持操作系统
所有


print type(1 / 2)
type ‘int’ version 2
type ‘float’ version 3
def f(): pass
print type(f())
type ‘NoneType’
def f(): pass
print type(f())
type ‘NoneType’
print type(1J)
type ‘complex’
print type(lambda:None)
type ‘function’...
def twoSumII(nums, target): # nums is a sorted list
lenOfNums = len(nums) index1, index2 = 0, 0 for i in range(lenOfNums): index2 = lenOfNums - i - 1 if nums[index2] + nums[index1] <= target: break # print index1, index2 # get the value of index1 and index2 for index1...
Incubator Meeting
How to add the read write permissions recursively?
identify yourself
>whoami
>id
add permissions for usera
> sudo chown -R usera:staff ~/Workspace
> sudo chown -R usera:staff /Users/usera
add read and write permissions
>chmod -R ug+rw foldername
developing related
nodemon
http://localhost:8080/api/test response a...
Developers Guild Meetup
Introdution of Speakers
Soft Skills: Ruby, Python, Open source tools. Data Scientist.
MVC
4 - 5 years experience Single Page Technology
MVC + RESTful service
Working on the latest stuff
I read this book, I watch that tutorial. Learning by yourself is more impressive. “I want to know what you...
Ruby on Rails P1
Getting started
Route = URL + http verb (GET, POST, PUT/PATCH, DELETE)
GET = find
POST = add
PUT/PATCH = update
DELETE = delete
User1 → Router → CONTROLLER → View → Back to User1
Starting a Rails Project
check your ruby version
ruby -v
check your rails version
...
Rdicount Markdown Syntax
Escape
Escape: \
Headers
# This is an H1 #
## This is an H2 ##
### This is an H3 ###
Emphasis
Italic *
Italic with star
Bolded **
Bolded
Block Quotes
> block quote
List
* Item 1 * Item 2 * Item 3
...
MacOS Questions and Answers Collection
- Permissions: Why do I always have to type ‘sudo’ before every command?
Use sudo su or sudo -i to get an interactive root shell.
- Launch Sublime Text 2 from the Mac OS X Terminal
https://gist.github.com/artero/1236170
Google App Engine SDK Path
Where is the Google App Engine SDK path on OSX?
Answer:
/usr/local/google_appengine
that’s a symlink that links to the SDK.
Build a Site with Github and Jekyll
- Introduction Intro About Jekyll Steps: install jekyll locally launch the server locally after editing your stuff, upload it to the github
2.What We are building Example, News from London with Title, content, page
click and check the detail of article, with news archive with RSS feedsite
3.Installing Jekyll...
How to Start Jekyll Service
jekyll serve
or
If you will change your _config.yml file
jekyll serve –watch
Defalut Layout
List:
Github, how to contribute to open source, folk, branches, merge?
Java Tutorial Basic
A night owl, citizen of London, of questionable character.


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We have 0 and 1 only (in logic world), now let's do calculations. First we start with addition. "|" (vertical bar).
There is no increase in digit with 1 adding by 1, still remains to be 1, that's the "logical sum".
Next is the multiplication, use "&". (Use comma to separate and calculate collectively)
If number multiplied by 1, answer is that same number, and it becomes zero when it is multiplied by 0, that's the "logical multiplication".
To perform unusual addition use "^". Even when both numbers are 1, the answer is zero
It is only for 1^1, but the rest remain same as "logic sum". That's "XOR" (exclusive OR)
Logic calculations can be put collectively up to maximum of 16！
Addition of binary numbers with 4 digits. You can calculate 1|0, 0|0, 1|1, 0|1 all at once！
Try it！
1. What is the answer for 3|1？
2. Use hint: ?BIN$(1),BIN$(2),BIN$(3), solve the puzzle 3|1
3. Lets do calculations of ?8323^35 and ?8323^35^35
4. Change to different numbers, let's play with secret numbers using logic
5. Let's do various calculations, let's make logic puzzles


Let’s face it, computers are everywhere these days, and the need for programmers is ever-increasing. Programming is vital to make computers be able to help us solve our everyday problems. It’s also a means to increase their speed and usability. With this in mind, it’s high time you jumped on this bandwagon and learned a language yourself! However, picking out the most appropriate programming language to learn is a substantial task for beginners. A good approach to making this choice is to consider the most popular programming languages, which languages are easy-to-learn, and how easy it is to find a job for beginners in these languages.
It'll give you a lot of highly paid job opportunities. Everything we come into contact with modern society — cell phones, laptops, public transport, healthcare, education, coffee shops, grocery stores, etc. - can’t exist without current technologies. And who makes that tech function? Why, programmers, of course! And these jobs are well-paid: on average, a developer in the US gets paid $107K, while in Europe the are paid nearly $60K.
Programming languages can create powerful tools. Using these tools, you can make your life much easier: you could automate routine tasks that you need to repeat every day with simple scripting or analyze big datasets with complex applications.
They are universal in use. Most programming languages are general-purpose which means the skills you learn will help you develop different products. For example, you can use the same language, like Java, to make mobile apps, websites, etc.
You will have the ability to work on cool projects. You can be part of a project that can change the world.
Be part of a community. Most programming languages have very friendly communities where members share learning resources and discuss the features and the future of the language.
Learning resources. There are countless courses and tutorials available for you, from novice to master levels. Some websites even have unique approaches to learning, from gamifying the process of getting you to compete with other developers.
The five most popular programming languages in the world are JavaScript, Java, Python, PHP, and SQL. They are universally used, with a wide range of applications: from desktop and mobile applications to websites, c loud-based applications, and even scientific purposes.
With Google Search’s autocomplete, you don’t have to spell everything out in order to find what you need. Autocomplete’s search predictions are based on relevant and trending searches, helping you spend less time typing.
In economics, a service is a transaction in which no physical goods are transferred from the seller to the buyer. The benefits of such a service are held to be demonstrated by the buyer's willingness to make the exchange. Public services are those that society (nation state, fiscal union, region) as a whole pays for.


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