Functions | |
| AXIS2_EXTERN axiom_soap_envelope_t * | axiom_soap_envelope_create (const axutil_env_t *env, axiom_namespace_t *ns) |
| AXIS2_EXTERN axiom_soap_envelope_t * | axiom_soap_envelope_create_with_soap_version_prefix (const axutil_env_t *env, int soap_version, const axis2_char_t *prefix) |
| AXIS2_EXTERN axiom_soap_envelope_t * | axiom_soap_envelope_create_default_soap_envelope (const axutil_env_t *env, int soap_version) |
| AXIS2_EXTERN axiom_soap_envelope_t * | axiom_soap_envelope_create_default_soap_fault_envelope (const axutil_env_t *env, const axis2_char_t *code_value, const axis2_char_t *reason_text, const int soap_version, axutil_array_list_t *sub_codes, axiom_node_t *detail_node) |
| AXIS2_EXTERN struct axiom_soap_header * | axiom_soap_envelope_get_header (axiom_soap_envelope_t *envelope, const axutil_env_t *env) |
| AXIS2_EXTERN struct axiom_soap_body * | axiom_soap_envelope_get_body (axiom_soap_envelope_t *envelope, const axutil_env_t *env) |
| AXIS2_EXTERN axis2_status_t | axiom_soap_envelope_serialize (axiom_soap_envelope_t *envelope, const axutil_env_t *env, axiom_output_t *om_output, axis2_bool_t cache) |
| AXIS2_EXTERN void | axiom_soap_envelope_free (axiom_soap_envelope_t *envelope, const axutil_env_t *env) |
| AXIS2_EXTERN axiom_node_t * | axiom_soap_envelope_get_base_node (axiom_soap_envelope_t *envelope, const axutil_env_t *env) |
| AXIS2_EXTERN int | axiom_soap_envelope_get_soap_version (axiom_soap_envelope_t *envelope, const axutil_env_t *env) |
| AXIS2_EXTERN axiom_namespace_t * | axiom_soap_envelope_get_namespace (axiom_soap_envelope_t *envelope, const axutil_env_t *env) |
| AXIS2_EXTERN axis2_status_t | axiom_soap_envelope_set_soap_version (axiom_soap_envelope_t *envelope, const axutil_env_t *env, int soap_version) |
| AXIS2_EXTERN axis2_status_t | axiom_soap_envelope_increment_ref (axiom_soap_envelope_t *envelope, const axutil_env_t *env) |
| AXIS2_EXTERN struct axiom_soap_builder * | axiom_soap_envelope_get_soap_builder (axiom_soap_envelope_t *envelope, const axutil_env_t *env) |
| AXIS2_EXTERN axiom_soap_envelope_t* axiom_soap_envelope_create | ( | const axutil_env_t * | env, | |
| axiom_namespace_t * | ns | |||
| ) |
create a soap_envelope with the given namespace prefix and uri as the prefix and uri, The uri of ns should be valid soap uri
| env | Environment. MUST NOT be NULL | |
| ns | The OM namespace |
| AXIS2_EXTERN axiom_soap_envelope_t* axiom_soap_envelope_create_default_soap_envelope | ( | const axutil_env_t * | env, | |
| int | soap_version | |||
| ) |
Create the default SOAP envelope
| envelope | OM SOAP Envelope | |
| env | Environment. MUST NOT be NULL |
| AXIS2_EXTERN axiom_soap_envelope_t* axiom_soap_envelope_create_default_soap_fault_envelope | ( | const axutil_env_t * | env, | |
| const axis2_char_t * | code_value, | |||
| const axis2_char_t * | reason_text, | |||
| const int | soap_version, | |||
| axutil_array_list_t * | sub_codes, | |||
| axiom_node_t * | detail_node | |||
| ) |
Create the default SOAP fault envelope
| envelope | OM SOAP Envelope | |
| env | Environment. MUST NOT be NULL |
| AXIS2_EXTERN axiom_soap_envelope_t* axiom_soap_envelope_create_with_soap_version_prefix | ( | const axutil_env_t * | env, | |
| int | soap_version, | |||
| const axis2_char_t * | prefix | |||
| ) |
create a soap_envelope with the given namespace prefix and uri is selected according to soap_version, soap version should be one of AXIOM_SOAP11 or AXIOM_SOAP12
| env | Environment. MUST NOT be NULL | |
| prefix | soap envelope prefix if prefix is NULL default prefix is used |
| AXIS2_EXTERN void axiom_soap_envelope_free | ( | axiom_soap_envelope_t * | envelope, | |
| const axutil_env_t * | env | |||
| ) |
Free function, This function deallocate all the resources associated with the soap_envelope IT frees it's soap body and soap headers as well as the underlying om node tree by calling axiom_node_free_tree function
| envelope | soap_envelope | |
| env | environment |
| AXIS2_EXTERN axiom_node_t* axiom_soap_envelope_get_base_node | ( | axiom_soap_envelope_t * | envelope, | |
| const axutil_env_t * | env | |||
| ) |
returns the om_node associated with this soap envelope
| envelope | soap_envelope | |
| env | environment |
| AXIS2_EXTERN struct axiom_soap_body* axiom_soap_envelope_get_body | ( | axiom_soap_envelope_t * | envelope, | |
| const axutil_env_t * | env | |||
| ) | [read] |
Returns the soap body associated with this soap envelope
| envelope | soap_envelope | |
| env | environment |
| AXIS2_EXTERN struct axiom_soap_header* axiom_soap_envelope_get_header | ( | axiom_soap_envelope_t * | envelope, | |
| const axutil_env_t * | env | |||
| ) | [read] |
gets the soap header of this soap envelope
| envelope | soap envelope | |
| env | environment must not be null |
| AXIS2_EXTERN axiom_namespace_t* axiom_soap_envelope_get_namespace | ( | axiom_soap_envelope_t * | envelope, | |
| const axutil_env_t * | env | |||
| ) |
Return the soap envelope namespace
| envelope | ||
| env |
| AXIS2_EXTERN struct axiom_soap_builder* axiom_soap_envelope_get_soap_builder | ( | axiom_soap_envelope_t * | envelope, | |
| const axutil_env_t * | env | |||
| ) | [read] |
get the soap builder of the envelope
| envelope | OM SOAP Envelope | |
| env | Environment. MUST NOT be NULL |
| AXIS2_EXTERN int axiom_soap_envelope_get_soap_version | ( | axiom_soap_envelope_t * | envelope, | |
| const axutil_env_t * | env | |||
| ) |
returns the soap version of this soap envelope
| envelope | soap_envelope | |
| env | environment must not be null |
| AXIS2_EXTERN axis2_status_t axiom_soap_envelope_increment_ref | ( | axiom_soap_envelope_t * | envelope, | |
| const axutil_env_t * | env | |||
| ) |
Increment the reference number for the created instance
| envelope | OM SOAP Envelope | |
| env | Environment. MUST NOT be NULL |
| AXIS2_EXTERN axis2_status_t axiom_soap_envelope_serialize | ( | axiom_soap_envelope_t * | envelope, | |
| const axutil_env_t * | env, | |||
| axiom_output_t * | om_output, | |||
| axis2_bool_t | cache | |||
| ) |
serialize function , serialize the soap envelope IF the soap version it set to soap11 the soap fault part is converted to soap11 fault even is the underlying soap fault is of soap12 type
| envelope | soap envelope | |
| env | environment must not be null | |
| om_output | ||
| cache | whether caching is enabled or not |
| AXIS2_EXTERN axis2_status_t axiom_soap_envelope_set_soap_version | ( | axiom_soap_envelope_t * | envelope, | |
| const axutil_env_t * | env, | |||
| int | soap_version | |||
| ) |
Set the SOAP version
| envelope | OM SOAP Envelope | |
| env | Environment. MUST NOT be NULL | |
| soap_version,the | SOAP version number. Must be either AXIOM_SOAP11 or AXIOM_SOAP12 |


--- layout: post title: 'My First Hackathon: How to Prepare and Contribute' date: 2015-06-28 22:59:07.000000000 +01:00 categories: - Coding tags: [] status: publish type: post published: true meta: _thumbnail_id: '186' _edit_last: '1' _oembed_530804067053ddddb7a65aec76cd71e0: '{{unknown}}' _oembed_2c953ae883684f79be42f8c4d5394cf9: '{{unknown}}' hefo_before: '0' hefo_after: '0' _at_widget: '1' _publicize_twitter_user: '@evanjmg' _wpt_view_count: '48' _wpas_done_all: '1' _wpas_skip_8772856: '1' _wpas_skip_11288861: '1' _wpas_skip_8772378: '1' author: login<EMAIL_ADDRESS>email<EMAIL_ADDRESS>display_name: Evan first_name: '' last_name: '' excerpt: !ruby/object:Hpricot::Doc options: {} ---
I wouldn't call myself a 'coder', but I loved my first hackathon. Coming into the hack (#hackthevisual), I knew I wouldn't be doing a lot of coding. I had only just started learning Ruby and Rails 2 months ago and hadn't gone into too much JavaScript. I ended up doing some CSS and logo design. Our product turned out great.
Hackathons are never about one person, a good hack involves many skilled people (yes, you should have at least one programmer or it's just a powerpoint). You don't have to be coder to do well in a hackathon.
 Bring whatever skills are necessary and fill in the gaps that the team needs you. Since my team was strong in programming, I started sketching logos and putting together the visuals of our app. I essentially did whatever my team needed me to do. That's what hacking is all about.
PREPARATION:
Be flexible.
I cannot emphasize this enough. Have a beer with everyone and get to know the groups (other blogs say this may tire you out, but it's better to bond with your team, so it's worth it). Figure out what ideas everyone has, share yours, and ultimately go with the most difficult, yet feasible idea. Meaning, go with a challenge, but don't try to learn something completely new. If someone know's how to do something that the rest of the team doesn't know how to do, that's good. The more of that the better the team. Being flexible is the most important aspect of a hackathon, so get ready to pivot your idea and learn from others.
Be ready.
Some teams stay overnight and some go home early. So, bring some spare clothes, deodorant, and a toothbrush. Ours was a mix of both and we were very understanding. Don't get mad at anyone. Our team only rarely got angry. Mostly, we only got upset with ourselves when our code didn't work.
Eat a lot and hydrate.
Do not be tempted to push meals back. Always stop coding/working and eat food! Drink a lot of water while you're at it.
I found that once I got some food. My productivity increased threefold.
Make it fun and take breaks.
Don't be afraid to have casual conversation mid-code. It's a lot of work you're doing and just kicking back can make the work flow a whole lot better and you might get some help from teammates.
Scrum or not to Scrum?
Just make a Do, Doing, Done sections for workflow on Trello.  You probably be more productive without it, but it's important to establish what type of work you'll be doing for the weekend.
Here's a list of productivity tools:
Slack
GitHub
Trello
Google Drive, Slides, Sheets
Some Technicalities:
Make a web app and then convert to mobile (Use Cordova or PhoneGap). Don't code a Java Android or Swift iPhone app (it takes too long and it's not flexible).
NodeJS and Grunt are great for hacking quickly.
Firebase is great if you have numerous databases and processes running in the backend
Amazon Services is your best bet for storage.
Devices needed (in your team):
Android
iPhone
USB Cords (for devices)
Ethernet cords
Some other cool things that you come up with
Your Laptop
Don't worry if you don't understand the tech specs above. You'll learn what they are on your first hack, just go!
My teammates were far better coders than me and I learned a lot. They were very welcoming and helped me learn the development workflow process. We won because we challenged ourselves and took big risks and I thank my teammates (Dario, Bryan, Sam, Anthony) for inviting me to be a part of the process.
Also our app is pretty cool, see it below:


Hemingway recalled his experiences as a young man living in Paris as a moveable feast. The people he met, the skills he learned and refined, and the ideas he was exposed to during those times stuck with him until the very end. It molded him into the person he would become.
College and graduate school seemed so short-lived and unproductive to be considered my version of Hemingway's moveable feast. During that time, I can not deny meeting incredible people and learning incredible skills. But it didn't feel as if there was a clear path to move any further from where I was and what I was doing. Keeping with the feast metaphor, those days felt more like appetizers and I needed to move on to the main course. Life is filled with many moveable feasts, some smaller and some larger than others. Perhaps the time I'm spending here in San Francisco will be of the grander ones. Time will tell.
Camaraderie
For what are we born if not to aid one another?
Whenever you put together a large cohort of people in a single location you will evitably foster a community of peers. There is struggle and passion. There is strength and humility. There is fear and there is success. You are placed on trial everyday and watch others sit through the same. And it's remarkable how we come back day after day to face those same plights again and again.
Some would argue that the atmosphere created by this mish-mash of different teams and people would make it difficult to be productive. At a glance this is true, there are distractions at every turn. However, distractions will always be there in one form or another. The greater value is seeing others spend just as many late nights and long days, struggling with the same problems, and coming together with the same solutions. Exposure to new lines of thought and new forms of thinking are intangible benefits, difficult to measure and quantify, but I believe ultimately useful in the longterm.
Late nights & long days
I love sleep. My life has the tendency to fall apart while I'm awake, you know?
Here we are a more than halfway through the accelerator and the feeling in the air is one of hazy optimism. The weeks have grown shorter and the task list compounds day after day. Nights blur together. Some people stay later, putting in crucial extra hours. Others bring in help to ease the pain. There is a general struggle for normality. More ping-pong games, more rowdy Friday nights. I don't think we don't fear the work, nor do we fear that it is too much. What we fear is that despite it all, it isn't enough.


CsvExport
Helper class to output an CSV from a CActiveRecord array.
example usage: echo CsvExport::export( People::model()->findAll(), // a CActiveRecord array OR any CModel array array( 'idpeople'=>array('number'), 'number' and 'date' are strings used by CFormatter 'birthofdate'=>array('date'),= ) ,true,'registros-hasta--'.date('d-m-Y H-i').".csv" ); Please refer to CFormatter about column definitions, this class will use CFormatter.
Located in /protected/components/CsvExport.php (line 25)
Documentation generated on Fri, 06 Dec 2013 21:27:48 +0100 by phpDocumentor 1.4.4


fun Job.toReactiveField(): ReactiveField<Boolean>
convert this Job to a ReactiveField.
The ReactiveField indicates true while this Job is running, false after this Job is completed.
true
false


Navbar is a fixed (with Fixed and Through layout types) area at the top of a screen that contains Page title and navigation elements.
Navbar has 3 main parts: Left, Center and Right. Each part may contain any HTML content, but it is recommended to use them in the following way:
Left part is designed to be used with "back link", icons or with single text link.
Center part is used to display page title or tab links (buttons row/segmented controller).
Right part is for the same as the Left part.
Navbar layout is pretty simple and self explaining:

Left

Center

Right

Note that Navbar's Center element has lowest width priority, and when window screen will not fit all three elements during window resize, then Center part will be cuted.
So if you use plain text in Center part it will have ellipsis (...) on the end when cuted. But you need to take care about it if you have some custom elements there.
To add links in Left or Right part you just need to add the plain
tag with additional link
class:

Left Link

Center

Right Link

Additional link
class is not required but recommended, because it adds required link sizes and "active" opacity effect
Nothing extraordinary. Just add more <a class="link"
to the required part:

Left 1
Left 2

Center

Right 1

Here comes a little difference. In this case we need to wrap link's text with
element. It is required for correct spacing between icon and "word", and for animation:

Back

Center

Menu

If need links with icons and without text we need to additional "icon-only" class to links. With this class link will have fixed 44x44 px size so we can't miss it with finger:

Center

If we have initialized View we can use following methods available for Navbar:
| myApp.hideNavbar(navbar) | Hide specified toolbar.navbar - HTMLElement or string (with CSS Selector) of required navbar. Required. |
| myApp.showNavbar(navbar) | Show specified toolbar.navbar - HTMLElement or string (with CSS Selector) of required navbar. Required. |
| view.hideNavbar() | Hide navbar in this View |
| view.showNavbar() | Show navbar in this View |
| myApp.sizeNavbars(viewContainer) |
Call this method to recalculate positional styles for Navbar in selected View. For example: myApp.sizeNavbars('.view-main') It could be useful after you change some of Navbar elements dynamically. Used only by iOS theme |
And the following example:
var myApp = new Framework7();
var $ = Framework7.$;
var mainView = myApp.addView('.view-main');
$('.hide-navbar').on('click', function () {
mainView.hideNavbar();
});
$('.show-navbar').on('click', function () {
mainView.showNavbar();
});
Framework7 allows you to hide/show navbar automatically for some Ajax loaded pages where you may not need Navbar. It is useful only when you use through-type layout.
To make it work all you need is to add

) and put there empty Navbar:

Go Back

...

If you use Dynamic Navbar in your app then it will also have useful special events.


Cooper Kunz
Source Code
GitHub
This is the second portfolio project from the homepage
You may wish to add the projects image, or a description here.
Sadly we only have so much time!


Alan R. Hevner, Sudha Ram, Salvatore T. March, Jinsoo Park
Unread
"Two paradigms characterize much of the research
in the Information Systems discipline: behavioral
science and design science. The behavioral-
science paradigm seeks to develop and verify
theories that explain or predict human or organi-
zational behavior. The design-science paradigm
seeks to extend the boundaries of human and
organizational capabilities by creating new and
innovative artifacts."
"In the design-science paradigm, knowledge and understanding of a problem
domain and its solution are achieved in
the building and application of the designed artifact."
"Such theories prescribe “effective development practices” (methods) and
“a type of system solution” (instantiation) for “a particular
class of user requirements” (models) (Markus et al. 2002, p. 180). Such
prescriptive theories must be evaluated with respect to the utility
provided for
the class of problems addressed."


List of imaging data¶
The list of imaging dataset that can be analyzed with the current version of piXedfit and a brief description on their specifications, unit of pixel value, and how to estimate flux uncertainty are given in the following.
Galaxy Evolution Explorer (GALEX)
The input image (in FITS) is assumed to have the same format as the one obtained from the MAST. Commonly, the background subtraction has been done for the imaging data product and the background image is provided in a seperate FITS file. The imaging data in the two bands (FUV and NUV) have spatial resolution (i.e., FWHM of PSF) of 4.2’’ and 5.3’‘, respectively. The spatial sampling is 1.5’‘/pixel. The \(5\sigma\) limiting magnitudes in FUV (NUV) of the three surveys modes (AIS, MIS, and DIS) are 19.9 (20.8), 22.6 (22.7), 24.8 (24.4), respectively. Pixel value of the imaging data is in unit of counts (i.e., number of detected photons) per second (CPS). For more information, please refer to Morrissey et al. (2007). To convert the pixel value into flux and estimate flux uncertainty, we follow the relevant information from the literature and the survey’s website. To convert from pixel value to flux in unit of \(\text{erg }\text{s}^{-1}\text{cm}^{-2}{\text{Å}}^{-1}\), the following equation is used:
- FUV: \(\text{flux} = 1.40 \times 10^{-15} \text{CPS}\)
- NUV: \(\text{flux} = 2.06 \times 10^{-16} \text{CPS}\)
To get flux uncertainty, first, uncertainty of counts is estimated using the following equation:
- FUV: \(\text{CPS}_{\text{err}} = \frac{\sqrt{\text{CPS}\times \text{exp-time} + (0.050\times \text{CPS}\times \text{exp-time})^{2}}}{\text{exp-time}}\)
- NUV: \(\text{CPS}_{\text{err}} = \frac{\sqrt{\text{CPS}\times \text{exp-time} + (0.027\times \text{CPS}\times \text{exp-time})^{2}}}{\text{exp-time}}\)
The exp-time is exposure time which can be obained from the FITS header (keyword: EXPTIME). Then flux uncertainty can be calculated using the above equations for converting from counts to flux. The above information is taken from GALEX’s website.
Sloan Digital Sky Survey (SDSS)
The input image (in FITS) is assumed to have the same format as that of the Corrected Frame product of SDSS. For this imaging data product, background subtraction has been done and the background image can be reconstructed from a cruder 2D grid of background image sstored in the HDU2 extension of the FITS file. The spatial sampling of the imaging data in the 5 bands (\(u\), \(g\), \(r\), \(i\), and \(z\)) is 0.396’‘/pixel. The median seeing of all SDSS imaging data is 1.32’’ in the \(r\)-band (see Ross et al. 2011). The SDSS imaging is 95% complete to \(u=22.0\) mag, \(g=22.2\) mag, \(r=22.2\) mag, \(i=21.3\) mag, and \(z=20.5\) mag (Abazajian et al. 2004). The pixel value in the SDSS image is counts in unit of nanomaggy. To convert the pixel value into flux in unit of \(\text{erg }\text{s}^{-1}\text{cm}^{-2}{\text{Å}}^{-1}\), the following equation is used:
\(\text{flux} = \text{counts}\times 3.631\times 10^{6}\times 2.994\times 10^{-5} \left(\frac{1}{\lambda_{c}}\right)^{2}\)
where the \(\lambda_{c}\) is the central wavelength of the photometric band.
To estimate flux uncertainty of a pixel, first, the uncertainty of counts is calculated using the following equation:
\(\text{counts}_{\text{err}} = \sqrt{\frac{\left(\frac{counts}{NMGY}\right) + \text{counts}_{\text{sky}}}{\text{gain}} + \text{dark variance}}\)
with NMGY is a conversion factor from counts to flux in unit of nanomaggy (i.e., nanomaggy per count) and \(\text{count}_{\text{sky}}\) is counts associated with the sky background image. The \(\text{count}_{\text{sky}}\) at a particular coordinate in the image is obtained from bilinear interpolation to the cruder 2D grids of sky background counts stored in the HDU2 of the FITS file. Gain is a convertion factor from count to the detected number of photo electron and dark variance is an additional source of noise from the read-noise and the noise in the dark current. Values of gain and dark variance vary depending on the camera column (camcol) and the photometric band. Those values can be obtained from this SDSS’s web page. After getting the \(\text{count}_{\text{err}}\), the flux uncertainty can be calculated using the following equation:
\(\text{flux_err} = \text{counts}_{\text{err}} \times 3.631\times 10^{6}\times 2.994\times 10^{-5} \left(\frac{1}{\lambda_{c}}\right)^{2}\)
The above information is obtained from this SDSS’s web page.
Hubble Space telescope (HST)
The HST image has a spatial sampling of 0.06’‘/pixel. The PSF FWHM varies across photometric bands. The PSF FWHM of F160W band is 0.19’‘. The \(5\sigma\) limiting magnitude of F160W is 26.4 mag. Pixel value of the HST image is counts per second. To convert the pixel value to flux in unit of \(\text{erg }\text{s}^{-1}\text{cm}^{-2}{\text{Å}}^{-1}\), a multiplicative convertion factor can be found in the header of the FIST file (keyword: PHOTFLAM). Flux uncertainty of a pixel can be calculated from the weight image, which commonly provided by various surveys.
Two Micron All Sky Survey (2MASS)
The input image (in FITS) is assumed to be in the same format as that provided by the NASA/IPAC Infrared Science Archive (IRSA). Commonly, the imaging data from that source is not background-subtracted. The imaging data product has spatial sampling of 1.0’‘/pixel. The seeing is \(\sim 2.5-3.5\)’’ (Skrutskie et al. 2006). The point-source sensitivities at signal-to-noise ratio S/N=10 are: 15.8, 15.1, and 14.3 mag for \(J\), \(H\), and \(\text{K}_{\text{S}}\), respectively. Pixel value of the 2MASS image is in data-number unit (DN). To convert the pixel value to magnitude, one need a magnitude zero-point which can be obtained from the header of the FITS file (keyword: MAGZP). Then the flux can be calculated using a flux for zero-magnitude zero-point conversion values (\(f_{\lambda,\text{zero-mag}}\)). The \(f_{\lambda,\text{zero-mag}}\) in unit of \(\text{W }\text{cm}^{-2}\mu\text{m}^{-1}\) for the \(J\), \(H\), and \(\text{K}_{\text{S}}\) bands are \(3.129\times 10^{-13} \pm 5.464\times 10^{-15}\), \(1.133\times 10^{-13}\pm 2.212\times 10^{-15}\), and \(4.283\times 10^{-14}\pm 8.053\times 10^{-16}\), respectively (see this web page). A proper conversion factor is then applied to convert the flux in the \(\text{W }\text{cm}^{-2}\mu\text{m}^{-1}\) to \(\text{erg }\text{s}^{-1}\text{cm}^{-2}{\text{Å}}^{-1}\). The flux calibration of 2MASS is described in Cohen et al. (2003). The uncertainty of pixel value in a 2MASS image is estimated following the procedure described in the 2MASS survey’s website here (see the handy equations in the botttom of the web page).
Wide-field Infrared Survey Explorer (WISE)
The input image (in FITS) is assumed to be in the same format as that provided in this IRSA website. Commonly, the imaging data from that source is not background-subtracted. The imaging data in the 4 bands \(3.4\mu \text{m}\) (\(W1\)), \(4.6\mu \text{m}\) (\(W2\)), \(12\mu \text{m}\) (\(W3\)), and \(22\mu \text{m}\) (\(W4\)) have spatial resolutions of 6.1’‘, 6.4’‘, 6.5’‘, and 12.0’‘, respectively. The spatial sampling of the imaging data in the 4 bands is 1.375’‘/pixel. WISE achieved \(5\sigma\) point source sensitivities better than 0.08, 0.11, 1.00, and 6.00 mJy in unconfused regions on the ecliptic in the 4 bands (Wright et al. 2010). The pixel value of a WISE image is DN unit. To convert the pixel value to flux in Jy, one need DN_to_Jy conversion factor. The DN_to_Jy for the \(W1\), \(W2\), \(W3\), and \(W4\) are \(1.935\times 10^{-6}\), \(2.7048\times 10^{-6}\), \(1.8326\times 10^{-6}\), and \(5.2269\times 10^{-5}\), respectively. The flux is then converted from Jy to \(\text{erg }\text{s}^{-1}\text{cm}^{-2}{\text{Å}}^{-1}\). The WISE image atlas product commonly provides uncertainty image that gives the propagated \(1\sigma\) uncertainty estimate for each pixel in the corresponding coadded intensity image. For estimating flux uncertainty, a relevant instruction is given in a WISE survey’s website here.
Spitzer (IRAC and MIPS)
The mean FWHMs of the PSFs of the 4 IRAC bands \(3.6\mu \text{m}\), \(4.5\mu \text{m}\), \(5.8\mu \text{m}\), and \(8.0\mu \text{m}\) are 1.66’‘, 1.72’‘, 1.88’‘, and 1.98’‘, respectively (Fazio et al. 2004). The mean FWHMs of the PSFs of the 3 MIPS bands \(24\mu \text{m}\), \(70\mu \text{m}\), and \(160\mu \text{m}\) are 6.0’‘, 18.0’‘, and 40’‘, respectively (Rieke et al. 2004). The spatial sampling of IRAC imaging data is 1.2’‘/pixel, while the spatial sammpling of MIPS imaging data varies across bands: 1.5’‘/pixel (\(24\mu \text{m}\)), 4.5’‘/pixel (\(70\mu \text{m}\)), and 9.0’‘/pixel (\(160\mu \text{m}\)). The \(1\sigma\) point-source sensitivities (with low background and 100 second time frame) of the 4 IRAC bands are \(0.6\mu \text{Jy}\) (\(3.6\mu \text{m}\)), \(1.2\mu \text{Jy}\) (\(4.5\mu \text{m}\)), \(8.0\mu \text{Jy}\) (\(5.8\mu \text{m}\)), and \(9.8\mu \text{Jy}\) (\(8.0\mu \text{m}\)) (Fazio et al. 2004). The pre-launch estimate of the \(1\sigma\) confusion limits of the MIPS bands are \(\sim 0.5-1.3 \text{mJy}\) (\(70\mu \text{m}\)) and \(\sim 7.0-19.0 \text{mJy}\) (\(160\mu \text{m}\)) (Xu et al. 2001 and Dole et al. 2003). Pixel values of the IRAC and MIPS are in unit of Mjy/sr. To convert the pixel value to flux density in \(\text{erg }\text{s}^{-1}\text{cm}^{-2}{\text{Å}}^{-1}\), one needs pixel size of the image. For estimating the flux uncertainty of a pixel, we use the uncertainty map (commonly provided by surveys, such as SINGS; Kennicutt et al. 2003) whenever available. If the uncertainty map is not available, the flux uncertainty is assumed to be dominated by the calibration uncertainty. The calibration uncertainty of the 4 bands of IRAC is \(\sim\) 10% (Reach et al. 2005; Munoz-Mateos), whereas that uncertainties for the 3 bands of MIPS are 4% (\(24\mu \text{m}\)), 5% (\(70\mu \text{m}\)), and 12% (\(160\mu \text{m}\)) (Engelbracht et al. 2007; Gordon et al. 2007; Stansberry et al. 2007).
Herschel (PACS and SPIRE)
The three PACS bands have measured PSF FWHMs of 5.67’’ (\(70\mu \text{m}\)), 7.04’’ (\(100\mu \text{m}\)), and 11.18’’ (\(160\mu \text{m}\)) (Anianp et al. 2011, Geis N. and Lutz D. 2010 PACS ICC Document PICC-ME-TN-029 v2.0, Lutz D. 2010 PACS ICC Document PICC-ME-TN-033, and Müller T. 2010 PACS ICC Document PICC-ME-TN-036 v2.0). The three SPIRE bands have mean PSF FWHMs of 18.1’’ (\(250\mu \text{m}\)), 25.2’’ (\(350\mu \text{m}\)), and 36.6’’ (\(500\mu \text{m}\)). The measured confusion noise levels in the \(250\mu \text{m}\), \(350\mu \text{m}\), and \(500\mu \text{m}\) bands are 5.8 mJy, 6.3 mJy, and 6.8 mJy, respectively (Griffin ett al. 2010). The PACS imaging data has pixel value in the unit of Jy/pixel, while the SPIRE imaging data varies depending on the survey from which the data is obtained. The SPIRE imaging data provided by the Key Insights on Nearby Galaxies: A Far-Infrared Survey with Herschel (KINGFISH; Kennicutt et al. 2011) has pixel value in the unit of MJy/sr, whereas the SPIRE imaging data provided by the Very Nearby Galaxy Survey (VNGS; Bendo et al. 2012) has pixel value in the unit of Jy/beam. Based on the SPIRE Observer’s Manual, the beam areas in \(\text{arcsec}^{2}\) of the \(250\mu \text{m}\), \(350\mu \text{m}\), and \(500\mu \text{m}\) are 426, 771, and 1626, respectively. For estimating the flux uncertainty of a pixel, an uncertainty map (such as that provided by the KINGFISH and VNGS surveys) is used whenever available. Otherwise, the flux uncertainty is estimated by assuming that the flux uncertainty is dominated by the calibration uncertainty. The calibration uncertainty of PACS is \(\sim\) 5% (according to the version 4 of the PACS Observer’s Manual), while the calibration uncertainty of the SPIRE is \(\sim\) 7% (see this web page).


This section defines classes that test individual bits of the registers defined in a register model.
| Bit Bashing Test Sequences | This section defines classes that test individual bits of the registers defined in a register model. |
| uvm_reg_single_bit_bash_seq | Verify the implementation of a single register by attempting to write 1’s and 0’s to every bit in it, via every address map in which the register is mapped, making sure that the resulting value matches the mirrored value. |
| uvm_reg_bit_bash_seq | Verify the implementation of all registers in a block by executing the uvm_reg_single_bit_bash_seq sequence on it. |
Verify the implementation of a single register by attempting to write 1’s and 0’s to every bit in it, via every address map in which the register is mapped, making sure that the resulting value matches the mirrored value.
If bit-type resource named “NO_REG_TESTS” or “NO_REG_BIT_BASH_TEST” in the “REG::” namespace matches the full name of the register, the register is not tested.
uvm_resource_db#(bit)::set({"REG::",regmodel.blk.r0.get_full_name()}, "NO_REG_TESTS", 1, this);
Registers that contain fields with unknown access policies cannot be tested.
The DUT should be idle and not modify any register during this test.
| uvm_reg_single_bit_bash_seq | |||||||||||
| Verify the implementation of a single register by attempting to write 1’s and 0’s to every bit in it, via every address map in which the register is mapped, making sure that the resulting value matches the mirrored value. | |||||||||||
| Class Hierarchy | |||||||||||
| |||||||||||
| Class Declaration | |||||||||||
| |||||||||||
| Variables | |||||||||||
| rg | The register to be tested |
Verify the implementation of all registers in a block by executing the uvm_reg_single_bit_bash_seq sequence on it.
If bit-type resource named “NO_REG_TESTS” or “NO_REG_BIT_BASH_TEST” in the “REG::” namespace matches the full name of the block, the block is not tested.
uvm_resource_db#(bit)::set({"REG::",regmodel.blk.get_full_name(),".*"}, "NO_REG_TESTS", 1, this);
| uvm_reg_bit_bash_seq | |||||||||||
| Verify the implementation of all registers in a block by executing the uvm_reg_single_bit_bash_seq sequence on it. | |||||||||||
| Class Hierarchy | |||||||||||
| |||||||||||
| Class Declaration | |||||||||||
| |||||||||||
| Variables | |||||||||||
| model | The block to be tested. | ||||||||||
| reg_seq | The sequence used to test one register | ||||||||||
| Methods | |||||||||||
| body | Executes the Register Bit Bash sequence. | ||||||||||
| do_block | Test all of the registers in a given block | ||||||||||
| reset_blk | Reset the DUT that corresponds to the specified block abstraction class. |
The block to be tested. Declared in the base class.
uvm_reg_block model;
virtual task body()
Executes the Register Bit Bash sequence. Do not call directly. Use seq.start() instead.
protected virtual task do_block( uvm_reg_block blk )
Test all of the registers in a given block
virtual task reset_blk( uvm_reg_block blk )
Reset the DUT that corresponds to the specified block abstraction class.
Currently empty. Will rollback the environment’s phase to the reset phase once the new phasing is available.
In the meantime, the DUT should be reset before executing this test sequence or this method should be implemented in an extension to reset the DUT.
Verify the implementation of a single register by attempting to write 1’s and 0’s to every bit in it, via every address map in which the register is mapped, making sure that the resulting value matches the mirrored value.
class uvm_reg_single_bit_bash_seq extends uvm_reg_sequence #( uvm_sequence #(uvm_reg_item) )
Verify the implementation of all registers in a block by executing the uvm_reg_single_bit_bash_seq sequence on it.
class uvm_reg_bit_bash_seq extends uvm_reg_sequence #( uvm_sequence #(uvm_reg_item) )
The register to be tested
uvm_reg rg
The sequence used to test one register
protected uvm_reg_single_bit_bash_seq reg_seq
Executes the Register Bit Bash sequence.
virtual task body()
Test all of the registers in a given block
protected virtual task do_block( uvm_reg_block blk )
Reset the DUT that corresponds to the specified block abstraction class.
virtual task reset_blk( uvm_reg_block blk )


{% extends "base.html" %} {% block content %}
#{{post.CourierId}} | {{ post.StudentName }} | Collected | Received On : {{ post.Received_On}}
#{{post.CourierId}} | {{ post.StudentName }} | Pending | Received On : {{ post.Received_On}}
{{post.FromName}}
{{post.CourierId}}
{{post.StudentName}}
{{post.Email}}
{{post.Mobile}}
{{post.PODnumber}}
{{post.Received_On}}
{{post.OtherInformation}}


Who are we?
Developer Student Clubs are completely non-profitable university based community groups for students interested in Google developer technologies. Students from all undergraduate or graduate programs with an interest in growing as a developer are welcome. By joining a DSC, students grow their knowledge in a peer-to-peer learning environment and build solutions for local businesses and their community.
DSC RSU was established in August, 2020 at Raksha Shakti University campus for School of Information Technology and Cyber Security. The official website under Google Developer’s DSC can be found here and the website under the Club can be found here
What is DSC RSU’s Vision?
The DSC RSU aims to provide a 360 degree view for students to polish their skills starting from communication to projects to applying to their dream companies. Main objective of the DSC RSU is to provide every possible resource be it technical or physical to all the interested students who join the Club as a Core Team and a Member of Club to excel in their careers by providing them practical sessions and seminars under Google Developer Experts and well known mentors. It plans to prepare students for careers in private and public industries.
Moreover, for the newbie students who want to deep dive into their interested field will also have a perfect environment to overcome their problems with the help of this community.
Connect
Meet other students on campus interested in developer technologies
Learn
Hands-on workshops, in-person training and project building activities
Grow
Give back to your community by helping others learn as well


This class provides acts as a service provider of languages.
More...
#include <LanguageProvider.hh>
This class provides acts as a service provider of languages.
◆ getLanguage()
| language * getLanguage |
( |
languageType |
which | ) |
|
Obtain a language object pointer for a given language.
- Parameters
-
| [in] | which | - For which language the parser is required |
- Returns
- Pointer to the requested language object. An exception otherwise
◆ getLanguageType()
| languageType getLanguageType |
( |
const std::filesystem::path & |
pathname | ) |
|
Obtain the language identifier based on the file extension.
- Parameters
-
| [in] | pathname | - Path to file |
- Returns
- Language Identifier
◆ getParser()
Obtain a language parser.
- Parameters
-
| [in] | lang | - The language object from where to retrieve the parser type |
- Returns
- Pointer to the requested language parser. A null pointer otherwise
◆ isLanguageAvailable()
| bool isLanguageAvailable |
( |
languageType |
which | ) |
|
Verify if a language is already provided.
- Parameters
-
| [in] | which | - The language identifier |
- Returns
- True if language is managed by this class. False otherwise
The documentation for this class was generated from the following files:


We’re inviting contributions from the entire IIT Roorkee community, from people who would like to write and design for us. In trying to be your voice, we are taking up an initiative to publish what you have to say on our website, our social media handles, and our periodic print issues.
What you can send
We welcome an assortment of mediums for you to opine on the relevant issues that IIT Roorkee has been dealing with, among other things. Any artistic/literary instrument you’d like to use, be it open letters, blogs, editorials, personal commentaries, op-eds, satires, or even comics that make your point, would be appreciated.
What gets published
The entire point of the exercise is to attract a wider base of columnists and external correspondents with varying schools of thought for our channels. We have no set criteria or rules that we’d like you to abide to, thereby encouraging you to find comfort in what you write. If you’re good at being funny, or maybe even downright serious, be our guest!
Your drafts, however, would most likely be the starting point of the whole process, as we’d like to have our editors suggest ways to make your point clearer, and indulge in fact-checking your contribution. We will, additionally, sway away from articles that have any forms of personal attacks, or inflammatory and defamatory content. After editing your submission, we shall always show you the final version, and if we can’t agree on it, rest assured, you can withdraw your submission.
Credits
Anything that makes way to our mediums, shall be accompanied by due credits to the contributor.
Get in touch
Send your submissions to
<EMAIL_ADDRESS>at any time of any day. You can also talk to any one of our members, or drop us a message on our Facebook page.
The final decision on publishing a contribution rests with Watch Out. We reserve the right of using our discretion to make the decision to go ahead with your contribution.


| Category: containers | Component type: concept |
| Key type | X::key_type | The type of the key associated with X::value_type. The types key_type and value_type must be the same type. |
| Iterator | X::iterator | The type of iterator used to iterate through a Simple Associative Container's elements. The types X::iterator and X::const_iterator must be the same type. That is, a Simple Associative Container does not provide mutable iterators. [1] |
| X | A type that is a model of Simple Associative Container |
| a | Object of type X |
| k | Object of type X::key_type |
| p, q | Object of type X::iterator |
| Immutability of Elements | Every element of a Simple Associative Container is immutable. Objects may be inserted and erased, but not modified. [1] |
[1] This is a consequence of the Immutability of Keys invariant of Associative Container. Keys may never be modified; values in a Simple Associative Container are themselves keys, so it immediately follows that values in a Simple Associative Container may not be modified.


Address Book Name That field is required Phone Number Address Submit # Name Phone Number Address 1 Mark Otto @mdo


---
layout: post
title: ! '"Craft-O-Rama-O-Rama Presents: ¡¡Papercrafts!! " at Vancouver Hackspace
Next Monday'
published: true
---
Come one! Come all! Next Monday night at VHS I will be teaching you all you need to know about papercraft!
Dont know about papercraft? Here's a little intro:
Papercraft classically refers to the general category of crafting with paper, which includes origami and card modeling, but lately, the culture of pop (or sub-pop, you can decide for yourself what boingboing&friends is) has been using the term papercraft to describe the craft of card modelling. Card modelling differentiates from origami in the sense that you start out with printed (or not) card that you can cut, punch, and glue (which is stictly forbidden in origami).
I will discuss more about the history and culture of papercraft and techniques on how to build your own models using free, mostly-cross-platform software and a printer. Oh yeah, and bring paper (I can bring a sub-awesome printer, will check ink levels, might be a small charge for the ink). Anyways, here are some examples of the awesome things you can do with this skill:


The expected behaviour of this page is as follows:
- The UserList should appear in the custom container element.
- The UserList collapse toggle should be hidden.
- A new user should be appended each time this example is loaded in a new browser.
- Usernames should be truncated after 10 characters.
- Changing your name via the UI should update your name in the user list for all users.
- To submit your name change you can click the arrow, press enter, or tab out of the input.


Parallel Workflows - Splits and Joins
In early office environment, 'work' was often contained in a paper folder, that folder was passed around the office going into 'IN' baskets. Each 'actor' operated on the work and passed it to the next actor's 'IN' basket. This was a physical implemetation of a workflow process. With computers we don't have those paper folders which to pass around but use a workflow process, this is called a 'Process Instance' and is worked on by actors assigned to each step. These assignments are called 'an actors worklist or task list'. With our computer workflow system we can also have work performed in parallel by multiple actors particpating in the workflow after it is split into steps. As these parallel steps are completed they are recombined by the workflow. This process is implemented using splits and joins. Which is the topic of this page.
Take a quick scroll to bottom of this page and take a look a diagram of our next next workflow using a split and a join. Go to workflow diagram
This process is similar to the workflow for requesting a holiday but in this process we need the manager to determine if current workload can allow the employee to take some leave AND the the Human Resources department must also determine if that employee has sufficient leave time available or is restricted by some policy. The result is a boolean AND decision where both the manager and HR must 'allow' in order to grant the request.
You can download the entire workflow description using the link located just above the workflow diagram. We'll only be looking at the split and joins in details. The Manager and HR step are similar to those described in the first workflow.
Employee Request
Not much new here, we've added an additional action for the Employee to cancel
a request and terminate the process after started to fill out the form. Notice
the attribute finish='true'
so that the process instance gets set
to completed.
Instead of the 'Request day off' action going to a step it goes to a split.
<action id='101' name='Request day off'> <results> <default-result split='1' status='Requested'/> </results> </action> <action id="102" name="cancel" finish="true" > <results> <default-result exit-status="Cancelled"/> </results> </action>
Splitting the Workflow
Defining a split is pretty easy, you just specify the multiple steps which need to be created. Here step 200 is for the Managers decision and step 300 is the HR Departments decision. Each of these actors now has a work item in their 'worklist'.
<!-- The leave approval goes to both the line manager and the HR Dept. ======= --> <splits> <split id='1'> <default-result step='200'/> <default-result step='300'/> </split> </splits>
Joining - Making the Decision
Each time an action arrives at the join all of conditions are evaluated. Here we are using
the name/value pairs recorded in the TypedMap. The PackPub book and some of the original
OSWorkflow examples used step exit-status
in the conditions. I personally
find these fragile and prefer to use TypedMap values.
By the way... I also like to delimit my scripts, no matter how small, with CDATA tags in case I need to add more code in the future.
OK, so the join waits until both the Manager decides and Human Resources decides. This is easily done within a join using an AND set of conditions. The join tests each result for non-null which means that it as been decided. Only when both decisions have been made will the join allow the workflow to proceed.
<!-- Joins ================================================================ --> <joins> <!-- The manager and HR decisions have been made in order to proceed --> <join id="1"> <conditions type="AND"> <condition type="beanshell"> <arg name="script"><![CDATA[ typedMap.getString("Manager Result") != null; ]]></arg> </condition> <condition type="beanshell"> <arg name="script"><![CDATA[ typedMap.getString("HR Result") != null; ]]></arg> </condition> </conditions> </join> </joins>
But wait! We said it was a boolean AND decision such that if either denies the decision of the other will not matter. So why make them go through the process of looking up records and balancing schedules. Here is where OSWorkflow and OSWf really shine becuase the we get to write the code in order to implement the join decision and not rely on some vendor to implement joins their way. And we get to use Java to write the decision logic.
Let's take a look. I've put the Java decision code in red and commented it. You do use comments in your code, don't you? As soon as we get our first 'deny' the join will proceed to the next step, any steps waiting to enter the join will be removed from the worklist of the respective actors. For other workflow system this would be an advanced topic, here we use it in our first split/join.
<!-- Joins ========================================================= -->
<joins>
<!-- The line manager and HR manager's decisions are combined here -->
<join id="1">
<conditions type="AND">
<condition type="beanshell">
<arg name="script"><![CDATA[
//===========================================================================
String managerResult = typedMap.getString("Manager Result");
String hrResult = typedMap.getString("HR Result");
//========================================================
// Behave like an OR join if either the Manager or the
// HR Director denied the request.
if( managerResult != null && managerResult.equals("denied") ) {
typedMap.setString("Employee Request", "denied");
return true;
}
if( hrResult != null && hrResult.equals("denied") ) {
typedMap.setString("Employee Request", "denied");
return true;
}
//========================================================
// Behave like an AND join and wait for both decisions.
// Ensure that both properties have been defined i.e. both steps
// have arrived at the join
if(managerResult == null || hrResult == null)
return false;
// If we arrive here both arrived and neither have 'denied'; But
// we check explicitly for both approved
if(managerResult.equals("approved") && hrResult.equals("approved"))
typedMap.setString("Employee Request", "approved");
// We return 'true' here to allow the workflow to proceed; this
// return value is not related to our 'Day off' decisions
return true;
//==========================================================================
]]></arg>
</condition>
</conditions>
<default-result exit-status="JoinFinished" status="Queued" step="400"/>
</join>
</joins>
Return to top
Download the 'Leave Request' workflow, click here.


<md-progress-bar>
is a horizontal progress-bar for indicating progress and activity.
The progress-bar supports four modes.
| Mode | Description |
|---|---|
| determinate | Standard progress bar, fills from 0% to 100% |
| indeterminate | Indicates that something is happening without conveying a discrete progress |
| buffer | Dual-progress mode, typically showing both video download and playback progress |
| query | Dual-stage mode, typically showing sending a request and downloading a response |
The default mode is "determinate". In this mode, the progress is set via the value
property,
which can be a whole number between 0 and 100.
In "buffer" mode, value
determines the progress of the primary bar while the bufferValue
is
used to show the additional buffering progress.
In "query" mode, the progress-bar renders as an inverted "indeterminate" bar. Once the response
progress is available, the mode
should be changed to determinate to convey the progress.
In both "indeterminate" and "query" modes, the value
property is ignored.
The color of a progress-bar can be changed by using the color
property. By default, progress-bars
use the theme's primary color. This can be changed to 'accent'
or 'warn'
.


This is a 10 year anniversary bug fix and enhancement release, which requires a minimum of Java 8.
Note that a minimum of Java 11 is recommended, especially for high DPI displays.
These release notes do not include all of the changes included in add-ons updated since 2.9.0.
Some of the more significant enhancements include:
Issue 5899 : Allows Regex duplication in the same Context through the UI
Issue 5902 : Active scan script - JSON number values - Weird replaces
Issue 5952 : Stats includes Content-Type byteranges limits
Issue 5991 : Hook HttpSenderListener when installing add-ons
Issue 6008 : Initialization of scripts via ZAP API
Issue 6037 : Changing look and feel messes with macOS integrations
Issue 6043 : Active scanner tests the same request twice
Issue 6102 : Error starting Active Scan in "Everything in Scope" mode.
Issue 6121 : html encode in Generate anti-CSRF Test FORM
Issue 6138 : Persistent growing high CPU usage with proxy
Issue 6206 : Unable to import context without optional fields
Issue 6223 : Exception while authenticating with form-based and anti-csrf tokens
Issue 6267 : HTML / Markdown Report Generation Fails When Path Contains '#'
ZAP API New Endpoints:
VIEW ascrf / optionPartialMatchingEnabled
Define if ZAP should detect CSRF tokens by searching for partial matches
ACTION ascrf / setOptionPartialMatchingEnabled
Define if ZAP should detect CSRF tokens by searching for partial matches.
ACTION alert / updateAlertsConfidence
Update the confidence of the alerts.
ACTION alert / updateAlertsRisk
Update the risk of the alerts.
ACTION context / setContextCheckingStrategy
Set the checking strategy for a context - this defines how ZAP checks that a request is authenticated.
VIEW core / optionUseSocksProxy
Gets whether or not the SOCKS proxy should be used.
ACTION core / setOptionUseSocksProxy
Sets whether or not the SOCKS proxy should be used.
VIEW users / getAuthenticationState
Gets the authentication state information for the user identified by the Context and User Ids.
VIEW users / getAuthenticationSession
Gets the authentication session information for the user identified by the Context and User Ids, e.g. cookies and realm credentials.
Action users / authenticateAsUser
Tries to authenticate as the identified user, returning the authentication request and whether it appears to have succeeded.
Action users / pollAsUser
Tries to poll as the identified user, returning the authentication request and whether it appears to have succeeded. This will only work if the polling verification strategy has been configured.
Action users / setAuthenticationState
Sets fields in the authentication state for the user identified by the Context and User Ids.
Action users / setCookie
Sets the specified cookie for the user identified by the Context and User Ids.


Try out our Premium Member services: Virtual Legal Assistant, Query Alert Service and an ad-free experience. Free for one month and pay only if you like it.
IN THE HIGH COURT OF JHARKHAND AT RANCHI B.A. No. 5634 of 2016 1.
Jagarnath Sharma @ Jagannath Sharma
2.Mani Thakur ... ... Petitioners Versus The State of Jharkhand ... ... Opposite Party CORAM: HON'BLE MR. JUSTICE ANANDA SEN For the Petitioners : Mr. Rajesh Lala, Advocate For the State : A.P.P th 04/Dated: 17 August, 2016
1. The petitioners have been made an accused for the offence under Sections 304, 287, 109, 201, 34 of the Indian Penal Code and Section 33 (B) of the Indian Forest Act, Section 22 of The Mines Act, 1952, Section 21 of the Mines & Mineral (Development & Regulation) Act, 1957 and Section 21 of the Pollution Control Act, 1981, in connection with Koderma, P.S. Case No. 142 of 2015, corresponding to G.R. No. 858 of 2015.
2. The petitioners allegedly were conducting mining activities, illegally. As a result of the said activities, four persons died, as the surface of the mines collapsed.
3. Counsel for the petitioner submits that at best a case under Section 304 A of the I.P.C. is made out, which is bailable in nature and other offences are also bailable in nature. The petitioners are in custody since 30.05.2016.
4. Learned A.P.P. opposes the prayer for bail.
5. Regard being had to the facts that they are in custody since 30.05.2016, the petitioners are directed to be released on bail on furnishing bail bond of Rs. 10,000/- (Rupees Ten Thousand) each with two sureties of like amount to the satisfaction of learned Chief Judicial Magistrate, Koderma, in connection with Koderma, P.S. Case No. 142 of 2015, corresponding to G.R. No. 858 of 2015.
(Ananda Sen, J.) Amar


This Gondi INSCRIPT (Gunjala) keyboard has been designed for typing the Adilabad Gondi (wsg) language spoken in the northern part of Telangana State of India. The keyboard layout is an INSCRIPT-based layout.


Finding a place to stay in London can be a nightmare, there's no denying it.
Which is why we have set up this Facebook group to help you find a reasonably priced room in a flat shared by fellow startup folk.
Whether you're just in town for a few days, or you need longer-term accommodation, hopefully you'll find the below links to be helpful!


typedef union { int i; long l; float f; double d; void *v; char *s; char c; unsigned char uc; short sh; unsigned short ush; unsigned int ui; int iarray[2]; float farray[2]; char carray[8]; unsigned char ucarray[8]; } Jval;I make use of Jval's when I write generic data structures such as lists, and trees. For the purposes of this class, don't worry about half of the fields in the union. The only important ones are:
int i; float f; double d; void *v; char *s; char c;The nice thing about a Jval is that you can hold one piece of data in a Jval, regardless of what the type of that piece of data is. Moreover, the Jval will always be 8 bytes. You use it just like the unions that were discussed in the union lecture notes from CS140. Take a minute to go over that lecture to brush yourself up on what a union is.
Jval j; j.i = 4;You can freely pass Jval's to and from procedure calls. A Jval can be the return value of a procedure call.
Jval.h defines a whole bunch of prototypes for ``constructor functions.''
extern Jval new_jval_i(int); extern Jval new_jval_f(float); extern Jval new_jval_d(double); extern Jval new_jval_v(void *); extern Jval new_jval_s(char *);These return Jval's to you when you give them arguments of a specific type. For example, if you want to initialize a Jval so that it is in integer whose value is 4, you can do it as shown above, or you can do:
Jval j; j = new_jval_i(4);Now j.i will be the integer 4. You will see later (when we get to using some of the general purpose data structures) why this is convenient.
These ``constructor functions'' are implemented in /blugren/homes/plank/cs360/src/jval.c, and are very simple. For example, here is new_jval_i():
Jval new_jval_i(int i) { Jval j; j.i = i; return j; }
As an example, jval_ex.c is union3.c from the Union lecture, converted to use Jvals.
You'll note that there is only one change to the code: the typedef:
typedef struct { char type; Jval value; } Item;Since the Jval struct has the same .i, .f and .s fields, the rest of the code can remain unchanged.
As you can see, it works just fine:
UNIX> jval_ex int 4 string Jim float -33.2 int -2 int 1 Item 0: Type i -- Value: 4 Item 1: Type s -- Value: Jim Item 2: Type f -- Value: -33.200001 Item 3: Type i -- Value: -2 Item 4: Type i -- Value: 1 Sizeof(Item): 16 UNIX>
In jval_ex2.c, we modify the code to use the constructor functions. The main change is (and I've bold-faced the new code):
int i2; float f; .. for (i = 0; i < 5; i++) { if (get_line(is) != 2) exit(1); if (strcmp(is->fields[0], "int") == 0) { array[i].type = 'i'; if (sscanf(is->fields[1], "%d", &i2) != 1) exit(1); array[i].value = new_jval_i(i2); } else if (strcmp(is->fields[0], "float") == 0) { array[i].type = 'f'; if (sscanf(is->fields[1], "%f", &f) != 1) exit(1); array[i].value = new_jval_f(f); } else if (strcmp(is->fields[0], "string") == 0) { array[i].type = 's'; array[i].value = new_jval_s(strdup(is->fields[1])); } else { exit(1); } }
Specifically, you are not to say, use a Jval instead of an int in your code just because it works. That makes your code unreadable, and unreadability is majorly bad. Here is an example of bad code to average all of the integers on standard input (in badavg.c):
main() { Jval total; Jval j; Jval n; n.i = 0; total.i = 0; while (scanf("%d", &(j.i)) == 1) { total.i += j.i; n.i++; } total.d = ((double) total.i) / ((double) n.i); printf("Average = %lf\n", total.d); }Yes, it works, and yes, it's a cute way to use total as both an int and a double. But it is revolting -- every use of Jval's is bad, and if you use them in ways like these, you will be punished.
(In case you care, the code should look as in goodavg.c):
main() { int total; int j; int n; n = 0; total = 0; while (scanf("%d", &j) == 1) { total += j; n++; } if (n == 0) exit(1); printf("Average = %lf\n", ((double) total)/((double) n)); }(You can do other things to make that casting look better too).
extern int jval_i(Jval); extern long jval_l(Jval); extern float jval_f(Jval); extern double jval_d(Jval); extern void *jval_v(Jval); extern char *jval_s(Jval); extern char jval_c(Jval); ...So, for example, calling jval_i(j) is the same as using j.i.


CITY OF INDUSTRY A film review by Walter Frith Copyright 1997 Walter Frith
There is no honour among thieves. Point well taken but in 'City of Industry' there is no honour among the people who have put together this shallow, unrelenting and downright boring montage which has a promising start but then crashes and burns like a bad plane wreck.
A group of low life thieves (Harvey Keitel, Stephen Dorff, Timothy Hutton, Wade Dominguez) pull of what is a seemingly smooth heist by robbing a jewelry store and as they count up the loot in seclusion, one of them (Dorff) clumsily opens fire in a moment of greed and kills two others (Hutton and Dominguez). Keitel manages to escape but just barely and all this occurs in the first thirty five minutes of the film which begins well but goes nowhere after that. The last hour is a slow and monotonous opera of planned revenge as Keitel goes after Dorff since Hutton was Keitel's brother in the film and he is helped by Dominguez's widow (Famke Janssen) in a seedy payback scheme. It's also about betrayal and all those things you've seen before but with no new twist whatsoever.
The climax is predictable and the film is sort of like having a bad night's sleep.  It's an uncomfortable odyssey into crime courtesy of director John Irvin ('The Dogs of War', 'Raw Deal', 'Hamburger Hill'). Were any of these any good?
The type of visual style that 'City of Industry' strives for is that of 'film noir' and the picture would have been much better if it had been in the hands of such stylish men as Martin Scorsese, Quentin Tarantino or Abel Ferrara. All of these intense filmmakers have directed Keitel with better results. 'City of Industry' is a copycat wannabe of films gone by and can easily be tossed into the junk pile in the opinion of this reviewer.
OUT OF 5> * 1/2
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


Constructor
new Focus(element?: any, taskQueue?: any): Focus
Creates an instance of Focus.
Parameters
element?: any
taskQueue?: any
new Focus(element?: any, taskQueue?: any): Focus
Creates an instance of Focus.


zoo.feature package¶
Submodules¶
zoo.feature.common module¶
-
class
zoo.feature.common.
ArrayToTensor
(size, bigdl_type='float')[source]¶ Bases:
zoo.feature.common.Preprocessing
a Transformer that converts an Array[_] to a Tensor. :param size dimensions of target Tensor.
-
class
zoo.feature.common.
ChainedPreprocessing
(transformers, bigdl_type='float')[source]¶ Bases:
zoo.feature.common.Preprocessing
chains two Preprocessing together. The output type of the first Preprocessing should be the same with the input type of the second Preprocessing.
-
class
zoo.feature.common.
FeatureLabelPreprocessing
(feature_transformer, label_transformer, bigdl_type='float')[source]¶ Bases:
zoo.feature.common.Preprocessing
construct a Transformer that convert (Feature, Label) tuple to a Sample. The returned Transformer is robust for the case label = null, in which the Sample is derived from Feature only. :param feature_transformer transformer for feature, transform F to Tensor[T] :param label_transformer transformer for label, transform L to Tensor[T]
-
class
zoo.feature.common.
FeatureSet
(jvalue=None, bigdl_type='float')[source]¶ Bases:
bigdl.dataset.dataset.DataSet
A set of data which is used in the model optimization process. The FeatureSet can be accessed in a random data sample sequence. In the training process, the data sequence is a looped endless sequence. While in the validation process, the data sequence is a limited length sequence. Different from BigDL’s DataSet, this FeatureSet could be cached to Intel Optane DC Persistent Memory, if you set memory_type to PMEM when creating FeatureSet.
-
classmethod
image_frame
(image_frame, memory_type='DRAM', sequential_order=False, shuffle=True, bigdl_type='float')[source]¶ Create FeatureSet from ImageFrame. :param image_frame: ImageFrame :param memory_type: string, DRAM, PMEM or a Int number. If it’s DRAM, will cache dataset into dynamic random-access memory If it’s PMEM, will cache dataset into Intel Optane DC Persistent Memory If it’s a Int number n, will cache dataset into disk, and only hold 1/n of the data into memory during the training. After going through the 1/n, we will release the current cache, and load another 1/n into memory. :param sequential_order: whether to iterate the elements in the feature set in sequential order for training. :param shuffle: whether to shuffle the elements in each partition before each epoch when training :param bigdl_type: numeric type :return: A feature set
-
classmethod
image_set
(imageset, memory_type='DRAM', sequential_order=False, shuffle=True, bigdl_type='float')[source]¶ Create FeatureSet from ImageFrame. :param imageset: ImageSet :param memory_type: string, DRAM or PMEM If it’s DRAM, will cache dataset into dynamic random-access memory If it’s PMEM, will cache dataset into Intel Optane DC Persistent Memory If it’s a Int number n, will cache dataset into disk, and only hold 1/n of the data into memory during the training. After going through the 1/n, we will release the current cache, and load another 1/n into memory. :param sequential_order: whether to iterate the elements in the feature set in sequential order for training. :param shuffle: whether to shuffle the elements in each partition before each epoch when training :param bigdl_type: numeric type :return: A feature set
-
classmethod
rdd
(rdd, memory_type='DRAM', sequential_order=False, shuffle=True, bigdl_type='float')[source]¶ Create FeatureSet from RDD. :param rdd: A RDD :param memory_type: string, DRAM, PMEM or a Int number. If it’s DRAM, will cache dataset into dynamic random-access memory If it’s PMEM, will cache dataset into Intel Optane DC Persistent Memory If it’s a Int number n, will cache dataset into disk, and only hold 1/n of the data into memory during the training. After going through the 1/n, we will release the current cache, and load another 1/n into memory. :param sequential_order: whether to iterate the elements in the feature set in sequential order when training. :param shuffle: whether to shuffle the elements in each partition before each epoch when training :param bigdl_type:numeric type :return: A feature set
-
classmethod
sample_rdd
(rdd, memory_type='DRAM', sequential_order=False, shuffle=True, bigdl_type='float')[source]¶ Create FeatureSet from RDD[Sample]. :param rdd: A RDD[Sample] :param memory_type: string, DRAM or PMEM If it’s DRAM, will cache dataset into dynamic random-access memory If it’s PMEM, will cache dataset into Intel Optane DC Persistent Memory If it’s a Int number n, will cache dataset into disk, and only hold 1/n of the data into memory during the training. After going through the 1/n, we will release the current cache, and load another 1/n into memory. :param sequential_order: whether to iterate the elements in the feature set in sequential order when training. :param shuffle: whether to shuffle the elements in each partition before each epoch when training :param bigdl_type:numeric type :return: A feature set
-
classmethod
-
class
zoo.feature.common.
MLlibVectorToTensor
(size, bigdl_type='float')[source]¶ Bases:
zoo.feature.common.Preprocessing
a Transformer that converts MLlib Vector to a Tensor. .. note:: Deprecated in 0.4.0. NNEstimator will automatically extract Vectors now. :param size dimensions of target Tensor.
-
class
zoo.feature.common.
Preprocessing
(bigdl_type='float', *args)[source]¶ Bases:
bigdl.util.common.JavaValue
Preprocessing defines data transform action during feature preprocessing. Python wrapper for the scala Preprocessing
-
class
zoo.feature.common.
Relation
(id1, id2, label, bigdl_type='float')[source]¶ Bases:
object
It represents the relationship between two items.
-
class
zoo.feature.common.
Relations
[source]¶ Bases:
object
-
static
read
(path, sc=None, min_partitions=1, bigdl_type='float')[source]¶ Read relations from csv or txt file. Each record is supposed to contain the following three fields in order: id1(string), id2(string) and label(int).
For csv file, it should be without header. For txt file, each line should contain one record with fields separated by comma.
Parameters: path – The path to the relations file, which can either be a local or disrtibuted file system (such as HDFS) path. :param sc: An instance of SparkContext. If specified, return RDD of Relation. Default is None and in this case return list of Relation. :param min_partitions: Int. A suggestion value of the minimal partition number for input texts. Only need to specify this when sc is not None. Default is 1.
-
static
-
class
zoo.feature.common.
SampleToMiniBatch
(batch_size, bigdl_type='float')[source]¶ Bases:
zoo.feature.common.Preprocessing
a Transformer that converts Feature to (Feature, None).
-
class
zoo.feature.common.
ScalarToTensor
(bigdl_type='float')[source]¶ Bases:
zoo.feature.common.Preprocessing
a Preprocessing that converts a number to a Tensor.
-
class
zoo.feature.common.
SeqToMultipleTensors
(size=[], bigdl_type='float')[source]¶ Bases:
zoo.feature.common.Preprocessing
a Transformer that converts an Array[_] or Seq[_] or ML Vector to several tensors. :param size, list of int list, dimensions of target Tensors, e.g. [[2],[4]]
-
class
zoo.feature.common.
SeqToTensor
(size=[], bigdl_type='float')[source]¶ Bases:
zoo.feature.common.Preprocessing
a Transformer that converts an Array[_] or Seq[_] to a Tensor. :param size dimensions of target Tensor.
-
class
zoo.feature.common.
TensorToSample
(bigdl_type='float')[source]¶ Bases:
zoo.feature.common.Preprocessing
a Transformer that converts Tensor to Sample.
-
class
zoo.feature.common.
ToTuple
(bigdl_type='float')[source]¶ Bases:
zoo.feature.common.Preprocessing
a Transformer that converts Feature to (Feature, None).


A dynamic programming algorithm for optimal clustering multidimensional data with sequential constraint. The algorithm minimizes the sum of squares of within-cluster distances. The sequential constraint allows only subsequent items of the input data to form a cluster. The sequential constraint is typically required in clustering data streams or items with time stamps such as video frames, GPS signals of a vehicle, movement data of a person, e-pen data, etc. The algorithm represents an extension of Ckmeans.1d.dp to multiple dimensional spaces. Similarly to the one-dimensional case, the algorithm guarantees optimality and repeatability of clustering. Method clustering.sc.dp can find the optimal clustering if the number of clusters is known. Otherwise, methods findwithinss.sc.dp and backtracking.sc.dp can be used.
| Version: | 1.0 |
| Depends: | R (≥ 2.10.0) |
| Published: | 2015-05-04 |
| Author: | Tibor Szkaliczki [aut, cre], J. Song [ctb] |
| Maintainer: | Tibor Szkaliczki <szkaliczki.tibor at sztaki.mta.hu> |
| License: | LGPL (≥ 3) |
| NeedsCompilation: | yes |
| CRAN checks: | clustering.sc.dp results |
| Reference manual: | clustering.sc.dp.pdf |
| Package source: | clustering.sc.dp_1.0.tar.gz |
| Windows binaries: | r-devel: clustering.sc.dp_1.0.zip, r-release: clustering.sc.dp_1.0.zip, r-oldrel: clustering.sc.dp_1.0.zip |
| OS X binaries: | r-release: clustering.sc.dp_1.0.tgz, r-oldrel: clustering.sc.dp_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=clustering.sc.dp to link to this page.


We envision a safe space for humans, a place where they are heard and reciprocated. We vision to create world where mental health isn’t a taboo or stigmatized.
<EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS>nimishlakhotia@gmail.com


MotoGP, The 2020 entry lists are published, and Johann Zarco is missing
Only team Marc VDS in Moto2 is still to confirm its second rider, having lost Alex Marquez
by GPoneThe FIM has circulated the 2020 world championship entry lists and Johann Zarco's name does not appear. For now, Tito Rabat and Karel Abraham are listed under team Avintia, while team Marc VDS has an empty space along its second rider's name, having lost Alex Marquez.
The Frenchman still hasn't decided what his future will be, but the only way to stay in MotoGP would be to accept Gigi Dall’Igna's offer to move to Avintia. Otherwise, he would have to move back to Moto2 (with Marc VDS), attempting to win his third title in the intermediate class.
This unresolved issue aside, the entry list for the reigning class is as expected. There will be six Italian riders, like this year, namely Valentino Rossi, Andrea Dovizioso, Danilo Petrucci, Andrea Iannone, Franco Morbidelli and Pecco Bagnaia.
There is also a strong Italian presence in Moto2, with Lorenzo Baldassarri, Luca Marini, Nicolò Bulega, Lorenzo Dalla Porta, Fabio Di Giannantonio, Simone Corsi, Enea Bastianini, Stefano Manzi and Marco Bezzecchi.
Seven Italians feature on the Moto3 list, in the shape of Dennis Foggia, Celestino Vietti, Tony Artbolino, Andrea Migno, Niccolò Antonelli, Romano Fenati e Stefano Nepa.
One interesting fact: team Prustel GP has hired Barry Baltus, a very young Belgian rider who will only turn 16 on 3 May, meaning he cannot compete in the world championship before that date.


{% extends 'layout-internal.html' %} {% load staticfiles %} {% block title %}Analysis #{{analysis.id}} is pending{% endblock %} {% block heading %}View submission{% endblock %} {% block content %} This submission is being processed. The page will refresh periodically and results will appear when they're ready. {% endblock %} {% block scripts %} {% endblock scripts %} {% block styles %} {% endblock %}


Home
Exams
Free Courses
Pricing
Free Courses
Pricing
Features
About Us
Contact Us
Sign Up
Login
John
Doe
Male
, 16
Edit Profile
Education
Class
XIIth
Board
ICSE
School Name
Gesamtschule, Winden
Contact Details
Email
<EMAIL_ADDRESS>Phone Number
+91-9876543210
WhatsApp
+91-9876543210
TEST SCORES
Attempted
23
Passed
19
Failed
4
Courses Registered
NTSE
Maths Olympiad
JEE Foundation Course


{% extends "base.html" %} {% block title %}{{ unit.name }} {{ assignment.name }} Submissions{% endblock %} {% block breadcrumbs %}
| Student Submission | Submitted on | Submission Status |
|---|---|---|
| {{ submission.user.username }} | {{ submission.date }} | {{ submission.autostatus }} |


#include <order.h>
◆ Order() [1/2]
| Order::Order |
( |
QObject * |
parent = nullptr | ) |
|
|
explicit |
Default constructor for order.
◆ Order() [2/2]
| Order::Order |
( |
int |
n_orderId, |
|
|
int |
n_gID, |
|
|
int |
n_fromPlayer, |
|
|
int |
n_toPlayer, |
|
|
int |
n_orderedInWeek, |
|
|
int |
n_shippedInweek, |
|
|
int |
n_numberofBeers |
|
) |
| |
Constructor for Order.
- Parameters
-
| n_orderId | seeting value for orderId |
| n_gId | seeting value for gId |
| n_fromId | seeting value for fromId |
| n_toPlayer | seeting value for oPlayer |
| n_orderInweek | seeting value for orderInweek |
| n_shippedInweek | seeting value for shippedInweek |
| n_numberofBeers | seeting value for numberofBeers |
◆ ~Order()
◆ executeOrder()
| void Order::executeOrder |
( |
| ) |
|
◆ getFromPlayerId()
| int Order::getFromPlayerId |
( |
| ) |
|
Getter method for player source ID for the order.
- Returns
- source player ID
◆ getGId()
Getter method for Game ID.
- Returns
- GameID
◆ getNumberOfBeers()
| int Order::getNumberOfBeers |
( |
| ) |
|
Getter method for number of beers in that order.
- Returns
- number of beers in that order
◆ getOrderedInWeek()
| int Order::getOrderedInWeek |
( |
| ) |
|
Getter method for week in which order was ordered.
- Returns
- week no of orderd week
◆ getOrderId()
| int Order::getOrderId |
( |
| ) |
|
◆ getShippedInWeek()
| int Order::getShippedInWeek |
( |
| ) |
|
Getter method for number of beers shipped in a week.
- Returns
- beers shipped in the week
◆ getToPlayerId()
| int Order::getToPlayerId |
( |
| ) |
|
Getter method for destinatiion player ID of the order.
- Returns
- destination player ID
◆ setFromPlayerId()
| void Order::setFromPlayerId |
( |
int |
n | ) |
|
Setter method for the Player Id of source player of the order.
- Parameters
-
| n | seeting value for player Id |
◆ setGId()
| void Order::setGId |
( |
int |
n | ) |
|
Setter method for the Game Id.
- Parameters
-
| n | seeting value for Game Id |
◆ setNumberOfBeers()
| void Order::setNumberOfBeers |
( |
int |
n | ) |
|
Setter method for the number of beers in the order.
- Parameters
-
| n | seeting value for Number of beers |
◆ setOrderedInWeek()
| void Order::setOrderedInWeek |
( |
int |
n | ) |
|
Setter method for the number of orders in a week.
- Parameters
-
| n | seeting value for OrderedInWeek |
◆ setOrderId()
| void Order::setOrderId |
( |
int |
n | ) |
|
Setter method for the Order Id.
- Parameters
-
| n | seeting value for Order Id |
◆ setShippedInWeek()
| void Order::setShippedInWeek |
( |
int |
n | ) |
|
Setter method for no of beers shipped in a week.
- Parameters
-
| n | seeting value for Shipped in week |
◆ setToPlayerId()
| void Order::setToPlayerId |
( |
int |
n | ) |
|
Setter method for the Player Id of destination player of the order.
- Parameters
-
| n | seeting value for player Id |
◆ fromPlayerid
Attribute for describing the source player of order.
◆ gid
◆ numberOfBeers
Attribute for describing number of beers for the order.
◆ orderedInWeek
Attribute for orderes for a week.
◆ orderid
◆ shippedInWeek
Attribute for orders shipped in a week.
◆ toPlayerid
Attribute for describing the destination player of order.
The documentation for this class was generated from the following files:
- /home/kinky_tail/CS/SE/Beer-Game/Sprint 2/src/order.h
- /home/kinky_tail/CS/SE/Beer-Game/Sprint 2/src/order.cpp


Multiple Choices
The document name you requested (
/html/hostsun/hostsun-package/hostsun-animation/css/Flaticon.svg
) could not be found on this server. However, we found documents with names similar to the one you requested.
Available documents:
/html/hostsun/hostsun-package/hostsun-animation/css/flaticon.css
(common basename)
Please consider informing the owner of the
referring page
about the broken link.


If you've used a standard mouse bungee before, you'll be all too familiar with that extra pulling sensation you feel when you're approaching the edges of your mousepad. That extra tension has caused you to whiff shots, misclick, or rip your bungee out of place. My frustration with existing bungees led me to design a solution to end all of the annoyances that come with using a wired mouse.
Reduces the feeling of cable drag, while ensuring the cable bends consistently even at higher speeds.
With plenty of different cable management options, The Roto Bungee ensures a comfortable feel.
When in stock, we offer free shipping anywhere in the Unites States.
The Roto allows you a variety of setups to give you the best experience. Starting with the base, pick a spot for it that near the top of your mousepad. We suggest that it's placed no farther than one Roto Arm's length away from the top center of your mousepad. Once you've decided on a spot, remove the protective covering from the sticky gel. Once the covering is removed, be careful not to set the Roto on paper, as it will damage the gel.
Now wrap your mouse cord around the center with the cord entering through the south hole and exiting though the west hole (other orientations work too, just personal preference). Leave enough slack in the cable so that you can freely reach all four corners of you mousepad with your mouse. Once you have the cable wraped around the center of the tip, push the tip through the arm to secure. If your cable is too thick to wrap around the center, either pass the cable through the South and North holes or the West and North holes.
For a cable free look, take advanage of the cable routing in the back of the Roto. Remove the Roto's arm from the base, and place the cable in the grooving. Leave some slack between the base and tip to ensure the Roto swings properly! Press the cord firmly into the back channel to achieve the look.


Data Structures in STIS and NICMOS
This document was generated using the LaTeX2HTML translator Version 0.6.4 (Tues Aug 30 1994) Copyright © 1993, 1994, Nikos Drakos, Computer Based Learning Unit, University of Leeds.
The command line arguments were:
latex2html intro.tex.
The translation was initiated by Sdas Group on Wed Aug 21 10:26:56 EDT 1996


To get the most out of OCP, you need at least a basic understanding of Oblivion's leveling process. This process is somewhat complex and best understood after you've played the game, but good starting points are the Leveling and Character Creation pages at UESP.
Despite the complexity of Oblivion's leveling process, OCP is designed to be very simple to use. Full details are in the other instruction tabs, but here are the steps for basic usage:
To help keep OCP simple, it uses several conventions throughout all parts of the planner:
As an example, you can view the complete new and existing character data (including historical leveling details that are lost upon any recalculation) for the character I created and leveled using OCP as a guide: Nullis.
The biggest part of OCP is selecting your character's details. Whether you have an existing character or you are creating a new one, OCP provides a straightforward interface that shows the impact of your selections.
Key points for all character details:
The most important time for planning is when creating a new character. There are many character configurations that are almost impossible to efficiently level. Unfortunately, many of these bad configurations include the default classes and the examples used in the Official Game Guide.
From the New Character section, you can see your current selections and a snapshot of their details. Each button opens a dialog where you can change your selections.
In the overview tab of the race dialog, you'll find details about each race's background, their special abilities and weaknesses, and their general approach to tackling the conflicts in Tamriel. Clicking on a race's image will bring up a sub-dialog for selecting a gender; which is necessary since the starting attributes are different for each gender.
From the details tab, you'll see all of the starting attributes and skill bonuses for every race and gender. Attributes with a red background are lower than average and attributes with a green background are higher than average. To select a race and gender, press the M or F button in each race's column.
Note: The Official Game Guide by Prima gives Imperials a 5 point bonus in the Heavy Armor skill, but it is actually a 10 point bonus.
The birthsign dialog simply lists all of the birthsigns and their associated benefits. You can select a birthsign by clicking on its image. Any attribute bonuses are shown in the Initial Stats section and any special abilities are shown in the New Character summary.
The class dialog's overview tab describes each predefined class and its details. This is a good way to get a feel for intended play style of each predefined class. You can select a predefined class by clicking on its image.
The details tab summarizes the attribute bonuses and starting skill values for all of the predefined classes. Major skills are highlighted in bold. You can select a predefined class by clicking on its name.
The custom tab allows you to create your own class instead of using one of the predefined ones. You get to select the specialization, favored attributes, and major skills. To help evaluate the impact of specialization, the skills affected by the current selection are highlighted. Any errors are shown at the bottom of the dialog and must be corrected before a custom class can be submitted.
Note: The game says that class specialization gives a 10 point bonus to affected skills, but it actually gives a 5 point bonus.
For existing characters, the new character settings of race (and gender), birthsign, and class are no longer necessary for planning and analysis. Instead, you simply input the current values of your existing character's attributes and skills.
Note: Since the game itself controls the values of existing characters, OCP does not validate these inputs for sanity. For example, OCP won't prevent you from making an existing character with an Endurance of 50 (which ensures a minimum Health of 100) and a Health of 70.
In truth, a character's level has no impact on OCP's leveling and analysis algorithms. OCP uses only the attributes and skills of a character and does not do any level checking. However, the level slider can be used to select your existing character's level so you can gauge at what level certain things will happen in the future; e.g. at what level will you max out your Magicka.
The attributes dialog lets you set the current values of your core and derived attributes. Simply set the correct value for each slider and submit the changes. A summary of the current attributes is shown in the Existing Character section.
All skill values and their major/minor status are entered in the skills dialog. To help ensure the skill values are always valid, checking/unchecking the major status of a skill automatically adjusts the skill's value. Because of this, it is easier to enter the major/minor status of a skill before entering its value. When all settings are valid and you submit the changes, a summary of the current skill values (with major skills shown in bold) is shown in the Existing Character section.
The Leveling Order is the order that the attributes are increased by the simulated leveling algorithm. Each level, the first three attributes that are not already maximized are increased. These are called the Selected Attributes. If possible, the skills associated with the Selected Attributes are also increased to yield the maximum possible attribute bonus.
To change the order of attributes, simply drag and drop them. The first attribute chosen is at the top of the list. You can use Shift-click and Control-click to select multiple attributes at once.
Key points for the attribute leveling order:
The information in Leveling Results is the reason OCP exists. The results are automatically recalculated and redisplayed whenever a change is made to the Character Details or the Leveling Order. The results are broken down into three separate areas that should all be examined when evaluating the potency of your character configuration and leveling order.
While the leveling algorithm and analysis attempts to be as smart as possible, it is still not as smart as you can be. Plus, while playing, it is possible that situations will arise that make a different leveling path more efficient. When this occurs, you should use OCP to re-evaluate your path and make the best decision for your play goals.
The initial stats are the stats that your character started with. For existing characters, this exactly what you input into the Existing Character section. However, for new characters, this gives a breakdown of how your race, birthsign, and class contributed to your starting attribute and skill values. Per usual, major skills are highlighted in bold.
The Leveling Details shows the level by level breakdown of the simulated leveling process. Each level, the Selected Attributes are increased as well as any skills that yield an attribute bonus or are required for the major points necessary to level. The values for all majors skills are shown in bold.
All changed values are shown with a yellow background. All values that could not be raised or maximized when they should have been are shown with a red background. These red background numbers are especially important because they indicate areas where the leveling process was less than optimal. Hovering your mouse over any red background number will show a tooltip explaining the issue.
Selecting a level loads that level's details into the Existing Character section. This allows you to evaluate the impact of multiple attribute orders; e.g. if you want to raise your Intelligence to 75ish for the extra Magicka, but then switch to Willpower for the Magicka regeneration. Just load the level data prior to the order switch, switch the order, and evaluate the aggregate results.
After the leveling process has been simulated, OCP analyzes the Leveling Details and displays the important points in the Analysis section. Since the analysis is based on the Leveling Details, any inefficiencies there will be reflected in the Analysis.
Like with the Leveling Details, anything with a red background indicates a sub-optimal value. Make sure you hover over each one to get an explanation of why the value is considered sub-optimal.
Unless you are a hardcore, power-leveling player, you will inevitably get a few uninteded skill ups in some of the more useful skills; e.g. it's hard to avoid gaining a few points in Mercantile or Athletics every level. When this occurs, the key question is whether or not these ancillary skill ups will detract from your maximum potency. This is where Spare Skill Points per Level come into play.
After an attribute has been maximized, the remaining points in its associated skills are considered Spare Skill Points. In other words, if you "wasted" all of your Spare Skill Points, you could still reach your character's maximum potency. Thus the Spare Skill Points per Level is the number of skill points you can waste every level until an attribute is maximized.
By using Spare Skill Points per Level, you can gauge how careful (or careless!) you have to be with the skill ups for each attribute. When planning your character, be very careful about attributes whose Spare Skill Points per Level is less than 2 or 3. If you maintain a proper number of Spare Skill Points per Level, you can ensure that your gameplay experience won't be hindered by trying to avoid premature skill ups.


Toggle navigation
Realcrunch
John Smith
Profile
Inbox
7
Settings
Log Out
Activity this month
Properties map
Your Properties
Property name
Property short description
Property name
Property short description
Create Property
Notifications
just now
New buyer appointment
4 minutes ago
Adam Rose posted positive comment on property!
23 minutes ago
Order 392 shipped
46 minutes ago
Invoice 653 has been paid
1 hour ago
A new user has checked out your property offerings
2 hours ago
Completed task: "adjust price on neighborhood"
two days ago
Completed task: "New fliers for apartments done"
Gender breakdown
Spending timeline
Top Expense Categories
å


--- layout: default --- {% assign heroClass = 'hero' %} {% if site.data.notice.active %} {% assign heroClass = 'hero hero-with-notice' %}
{{ site.data.notice.body }}
We are a nimble league offering the best service to teams and players! We offer flexibility with each division self-governing within the framework of the overall league. If there are any desirable features, we have the ability to customize to your needs.
We love our teams and players and do whatever we can to provide a rewarding experience
We provide the best value and customer service with the lowest price in the region
For your convenience, all games will be played at consistent times each week at the same location
Please contact Eric Beck, the leauge administrator, with any questions. He is available by phone between the hours of 8AM and 4PM at<PHONE_NUMBER>. Payments may be mailed to 2169 SE Scott Avenue, Gresham OR 97080
Join our mailing list to stay informed of schedule changes, game cancelations, and other important league information.
{{ site.data.season.deadline }}
Early registration guarantees your spot!
Register Team
${{ site.data.season.fees.team }}
Each team of 7 players plays {{ site.data.season.numberGames }} games
Make Payment
{{ site.data.season.days }} {{ site.data.season.times }}
{{ site.data.season.start }} - {{ site.data.season.end }}
{{ site.data.season.location.name }}
{{ site.data.season.location.street }}, {{ site.data.season.location.city }} {{ site.data.season.location.state }} {{ site.data.season.location.zip }}
Valid OASA player cards required
Bring Team Roster to each game
Read the Rules of Competition
1st and 2nd place trophies per division


Class: Aws::SSMContacts::Types::DescribeEngagementResult
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-ssmcontacts/lib/aws-sdk-ssmcontacts/types.rb |
Overview
Constant Summary
Instance Attribute Summary
-
#contact_arn ⇒ String
rw
The ARN of the escalation plan or contacts involved in the engagement.
-
#content ⇒ String
rw
The secure content of the message that was sent to the contact.
-
#engagement_arn ⇒ String
rw
The ARN of the engagement.
-
#incident_id ⇒ String
rw
The ARN of the incident in which the engagement occurred.
-
#public_content ⇒ String
rw
The insecure content of the message that was sent to the contact.
-
#public_subject ⇒ String
rw
The insecure subject of the message that was sent to the contact.
-
#sender ⇒ String
rw
The user that started the engagement.
-
#start_time ⇒ Time
rw
The time that the engagement started.
-
#stop_time ⇒ Time
rw
The time that the engagement ended.
-
#subject ⇒ String
rw
The secure subject of the message that was sent to the contact.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Aws::Structure#to_h. |
Instance Attribute Details
#contact_arn ⇒ String
(rw)
The ARN of the escalation plan or contacts involved in the engagement.
# File 'gems/aws-sdk-ssmcontacts/lib/aws-sdk-ssmcontacts/types.rb', line 735
class DescribeEngagementResult < Struct.new( :contact_arn, :engagement_arn, :sender, :subject, :content, :public_subject, :public_content, :incident_id, :start_time, :stop_time) SENSITIVE = [] include Aws::Structure end
#content ⇒ String
(rw)
The secure content of the message that was sent to the contact. Use
this field for engagements to VOICE
and EMAIL
.
# File 'gems/aws-sdk-ssmcontacts/lib/aws-sdk-ssmcontacts/types.rb', line 735
class DescribeEngagementResult < Struct.new( :contact_arn, :engagement_arn, :sender, :subject, :content, :public_subject, :public_content, :incident_id, :start_time, :stop_time) SENSITIVE = [] include Aws::Structure end
#engagement_arn ⇒ String
(rw)
The ARN of the engagement.
# File 'gems/aws-sdk-ssmcontacts/lib/aws-sdk-ssmcontacts/types.rb', line 735
class DescribeEngagementResult < Struct.new( :contact_arn, :engagement_arn, :sender, :subject, :content, :public_subject, :public_content, :incident_id, :start_time, :stop_time) SENSITIVE = [] include Aws::Structure end
#incident_id ⇒ String
(rw)
The ARN of the incident in which the engagement occurred.
# File 'gems/aws-sdk-ssmcontacts/lib/aws-sdk-ssmcontacts/types.rb', line 735
class DescribeEngagementResult < Struct.new( :contact_arn, :engagement_arn, :sender, :subject, :content, :public_subject, :public_content, :incident_id, :start_time, :stop_time) SENSITIVE = [] include Aws::Structure end
#public_content ⇒ String
(rw)
The insecure content of the message that was sent to the contact.
Use this field for engagements to SMS
.
# File 'gems/aws-sdk-ssmcontacts/lib/aws-sdk-ssmcontacts/types.rb', line 735
class DescribeEngagementResult < Struct.new( :contact_arn, :engagement_arn, :sender, :subject, :content, :public_subject, :public_content, :incident_id, :start_time, :stop_time) SENSITIVE = [] include Aws::Structure end
#public_subject ⇒ String
(rw)
The insecure subject of the message that was sent to the contact.
Use this field for engagements to SMS
.
# File 'gems/aws-sdk-ssmcontacts/lib/aws-sdk-ssmcontacts/types.rb', line 735
class DescribeEngagementResult < Struct.new( :contact_arn, :engagement_arn, :sender, :subject, :content, :public_subject, :public_content, :incident_id, :start_time, :stop_time) SENSITIVE = [] include Aws::Structure end
#sender ⇒ String
(rw)
The user that started the engagement.
# File 'gems/aws-sdk-ssmcontacts/lib/aws-sdk-ssmcontacts/types.rb', line 735
class DescribeEngagementResult < Struct.new( :contact_arn, :engagement_arn, :sender, :subject, :content, :public_subject, :public_content, :incident_id, :start_time, :stop_time) SENSITIVE = [] include Aws::Structure end
#start_time ⇒ Time
(rw)
The time that the engagement started.
# File 'gems/aws-sdk-ssmcontacts/lib/aws-sdk-ssmcontacts/types.rb', line 735
class DescribeEngagementResult < Struct.new( :contact_arn, :engagement_arn, :sender, :subject, :content, :public_subject, :public_content, :incident_id, :start_time, :stop_time) SENSITIVE = [] include Aws::Structure end
#stop_time ⇒ Time
(rw)
The time that the engagement ended.
# File 'gems/aws-sdk-ssmcontacts/lib/aws-sdk-ssmcontacts/types.rb', line 735
class DescribeEngagementResult < Struct.new( :contact_arn, :engagement_arn, :sender, :subject, :content, :public_subject, :public_content, :incident_id, :start_time, :stop_time) SENSITIVE = [] include Aws::Structure end
#subject ⇒ String
(rw)
The secure subject of the message that was sent to the contact. Use
this field for engagements to VOICE
and EMAIL
.
# File 'gems/aws-sdk-ssmcontacts/lib/aws-sdk-ssmcontacts/types.rb', line 735
class DescribeEngagementResult < Struct.new( :contact_arn, :engagement_arn, :sender, :subject, :content, :public_subject, :public_content, :incident_id, :start_time, :stop_time) SENSITIVE = [] include Aws::Structure end


timelinefx:timelinefx.tlQuadTree.Draw
Method Draw:Void( canvas:Canvas, offsetx:Float=0, offsety:Float=0, Layer:Int=0, all:Int=true )
Draw a Layer of the quadtree
This can be used for debugging purposes. Warning: This will be very slow if the quadtree has more then 6 or 7 levels!


Win32
- Install Visual Studio 2010
- Install SVN to C:\svn, learn how to use it
- Install MinGW Make to C:\mingw. I renamed C:\mingw\bin\mingw32-make.exe to just make.exe for sanity's sake
- Check out the current trunk to C:\libraries\fairport
- Install (unzip) Boost to C:\libraries\boost
- Create a batch file which:
- Executes the "Visual Studio 2010 Command Prompt" batch file
- Adds C:\svn to %PATH%
- Adds C:\mingw\bin to %PATH%
- Adds C:\libraries\fairport and C:\libraries\boost to %INCLUDE%
- Drops you into C:\libraries\fairport
- Try getting the "test suite" to compile (C:\libraries\fairport\test) by running make
Once you're setup and building, you should take a look at the
Big Picture Issues to see areas where you can help out.


Algebra, calculus, geometry, differential equations, topology, complex analysis.
Statistical analysis, machine learning algorithms, dplyr, ggplot2, shiny, Rmarkdown.
Pandas, matplotlib, scikitlearn, regular expressions.
Descriptive statistics, statistical inference, hypothesis testing, linear regression, time series analysis.


Unity ML-Agents
A demonstration of Unity Machine Learning Agents package implementation - Push Block »
Built a web application with Clarifai API to do face detection by image URL. »
Create a web-based game testing its players’ degree of trust for AI systems. »
A demonstration of Unity Machine Learning Agents package implementation - Push Block »
Build interactive virtual worlds with 4 other students from various art, sound, and programming disciplines on rotating teams, creating five interactive experiences by Unity. »
Develope an app on AR glasses, guiding players to identify cards and make intelligent decisions. »


---
layout: post
title: 3/25 schoolwork
date: '2014-03-25T22:36:00.001-06:00'
author: Jacob .
tags:
- homeschool-journal
modified_time: '2014-03-25T22:36:20.067-06:00'
blogger_id: tag:blogger.com,1999:blog-6400085873105072120.post-2437876029546432819
blogger_orig_url: http://www.svlark.com/2014/03/325-schoolwork.html
---
Math:
- Reviewed addition facts with A
Writing:
- New writing game on the iPad with L
Reading:
- Read L Robert Louis Stevenson
- A read aloud Ch 6 from Afternoon on the Amazon
- Read aloud to A&L the second to the last of story in Cloud Weavers: Ancient Chinese Legends
- Finished Little Town in the Ozarks