# Baselines # Creating a Baseline You can take a snapshot of your project's current set of warnings, and then use the snapshot as a baseline for future inspection runs so that only new issues are reported. The baseline snapshot lets you start using lint to fail the build without having to go back and address all existing issues first. To create a baseline snapshot, modify your project's `build.gradle``` file as follows. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ android { lintOptions { baseline file("lint-baseline.xml") } } ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ When you first add this line, the `lint-baseline.xml` file is created to establish your baseline. From then on, the tools only read the file to determine the baseline. If you want to create a new baseline, manually delete the file and run lint again to recreate it. Then, run lint from the IDE (**Analyze > Inspect Code**) or from the command line as follows. The output prints the location of the lint-baseline.xml file. The file location for your setup might be different from what is shown here. ```shell $ ./gradlew lintDebug ... Wrote XML report to file:///app/lint-baseline.xml Created baseline file /app/lint-baseline.xml ``` Running lint records all of the current issues in the `lint-baseline.xml` file. The set of current issues is called the baseline, and you can check the lint-baseline.xml file into version control if you want to share it with others. ## Customize the baseline If you want to add some issue types to the baseline, but not all of them, you can specify the issues to add by editing your project's build.gradle, as follows. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ android { lintOptions { check 'NewApi', 'HandlerLeak' baseline file("lint-baseline.xml") } } ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ After you create the baseline, if you add any new warnings to the codebase, lint lists only the newly introduced bugs. ## Baseline warning When baselines are in effect, you get an informational warning that tells you that one or more issues were filtered out because they were already listed in the baseline. The reason for this warning is to help you remember that you have configured a baseline, because ideally, you would want to fix all of the issues at some point. This informational warning does not only tell you the exact number of errors and warnings that were filtered out, it also keeps track of issues that are not reported anymore. This information lets you know if you have actually fixed issues, so you can optionally re-create the baseline to prevent the error from coming back undetected. !!! Note: Baselines are enabled when you run inspections in batch mode in the IDE, but they are ignored for the in-editor checks that run in the background when you are editing a file. The reason is that baselines are intended for the case where a codebase has a massive number of existing warnings, but you do want to fix issues locally while you touch the code. [Official documentation](https://developer.android.com/studio/write/lint#snapshot)


Evening 10 Series 2017 Event 6
| Sul 1 |
16 May 17 |
|
10 |
miles |
| Name |
Position |
Road bike |
Actual Time |
Avg. mph |
| |
|
|
|
|
| Jonathan
Durnin |
1 |
|
00:24:43 |
24.28 |
| Richard
Mortimer |
2 |
|
00:24:52 |
24.13 |
| Matt
Crabtree |
3 |
|
00:24:59 |
24.02 |
| Luke
Marlow |
4 |
|
00:25:08 |
23.87 |
| Jim
Lowbridge |
5 |
|
00:25:36 |
23.44 |
| Lawrence
Cox |
6 |
|
00:25:50 |
23.23 |
| Peter
Bentley |
7 |
|
00:26:02 |
23.05 |
| Adrian
Killworth |
8 |
|
00:26:04 |
23.02 |
| Bill
Barrie |
9 |
|
00:26:13 |
22.89 |
| Linda
Hubbard |
10 |
|
00:26:36 |
22.56 |
| Carl
Roberts |
11 |
|
00:26:58 |
22.25 |
| Simon
Ward |
12 |
|
00:27:07 |
22.13 |
| Chris
Aylward |
13 |
|
00:27:41 |
21.67 |
| Mark
Chapman |
14 |
1 |
00:28:54 |
20.76 |
| David
Reay |
15 |
|
00:29:49 |
20.12 |
| Vic
Barnett |
16 |
|
00:29:55 |
20.06 |
| John
Welsford |
17 |
|
00:30:30 |
19.67 |
| Stewart
Holland |
18 |
2 |
00:30:35 |
19.62 |
| David
Bayliss |
19 |
3 |
00:30:40 |
19.57 |
| Charlie
Simpson |
20 |
|
00:30:59 |
19.37 |
| Tom
Evans |
21 |
|
00:31:13 |
19.22 |
| Lorna
Marlow |
22 |
|
00:32:33 |
18.43 |
| Sophie
Ward |
23 |
4 |
00:34:20 |
17.48 |
|
|
|
|
|


Mayo date for Home Alone in Concert
Home Alone in Concert is coming to Ireland for the very first time and will be staged at the TF Royal Theatre, Castlebar, on Saturday night, November 30.
The only other two Irish concerts are at The Convention Centre, Dublin, on December 1, and The INEC, Killarney, on December 2.
A true holiday favourite, this beloved comedy classic features renowned composer John Williams' charming and delightful score performed live to picture by The Orchestra of Ireland.
Tickets priced from €28 (additional charges may apply) are on sale now via Ticketmaster (www.ticketmaster.ie).
Home Alone in Concert is set to be the must-see Christmas event for 2019, with over 100 performers on stage as it is shown on the big screen accompanied by full live orchestra and choir.
Having previously packed out the esteemed Royal Albert Hall in London, tickets are selling fast so don’t delay.
Speaking of Home Alone in Concert composer John Williams said: “Ever since Home Alone appeared, it has held a unique place in the affections of a very broad public.
“Director Chris Columbus brought a uniquely fresh and innocent approach to this delightful story, and the film has deservedly become a perennial at Holiday time.
“I took great pleasure in composing the score for the film, and I am especially delighted that the magnificent Orchestra of Ireland has agreed to perform the music in this very special live presentation of the movie.
“I know I speak for everyone connected with the making of the film in saying that we are greatly honoured by this event… and I hope that the audience will experience the renewal of joy that the film brings with it, each and every year.”
Macaulay Culkin stars as Kevin McCallister, an 8-year-old boy who iss accidentally left behind when his family leaves for Christmas vacation, and who must defend his home against two bungling thieves.
Hilarious and heart-warming, Home Alone is holiday fun for the entire family and comes to Ireland for the first time this Christmas.


This example is a simple starting point to build immersive UIs compatible with all headsets. It relies on a laser pointer style input from the laser-controls component while also providing a mouse and keyboard fallback from the cursor component


Source code for DatasetHandler.FileHelperFunc
import os
[docs]def get_project_folder():
'''
Gives us the path to MGR-Project-Code from a list of allowed folders.
:return:
'''
PATH_ALTERNATIVES = ['/home/ekmek/Project II/MGR-Project-Code/', '/storage/brno2/home/previtus/MGR-Project-Code/', '/home/ekmek/Vitek/MGR-Project-Code/']
ABS_PATH_TO_PRJ = use_path_which_exists(PATH_ALTERNATIVES)
return ABS_PATH_TO_PRJ
[docs]def get_geojson_path():
'''
Gives us the path directly to attractivity_previtus_data_1_edges.geojson from a list of allowed paths
:return:
'''
folders = ['/home/ekmek/Desktop/Project II/graph_new_data/',
'/home/ekmek/Vitek/graph_new_data/',
'/storage/brno2/home/previtus/important_files/']
folder = use_path_which_exists(folders)
return folder+'attractivity_previtus_data_1_edges.geojson'
[docs]def use_path_which_exists(list_of_possible_paths):
'''
From a list of possible paths choose the one which exists.
:param list_of_possible_paths: possible paths
:return: working path
'''
used_path = ''
for path in list_of_possible_paths:
if os.path.exists(path):
used_path = path
if used_path == '':
print "Error, cannot locate the path of project, will likely fail!"
return used_path
[docs]def file_exists(fname):
''' Does file exist, returns boolean.'''
return os.path.isfile(fname)
[docs]def get_folder_from_file(fname):
''' Get folder name from path to a file.'''
return os.path.dirname(fname) + '/'
[docs]def folder_exists(directory):
''' Does folder with this name exist, returns boolean'''
return os.path.exists(directory)
[docs]def make_folder_ifItDoesntExist(directory):
''' Make a new directory, if it didn't previously exist.'''
if not os.path.exists(directory):
os.makedirs(directory)
import shutil, errno
[docs]def copy_folder(src, dst):
''' Copy and paste folders. Used for dataset augmentation.'''
try:
shutil.copytree(src, dst)
except OSError as exc: # python >2.5
if exc.errno == errno.ENOTDIR:
shutil.copy(src, dst)
else: raise
[docs]def copy_file(src, dst):
''' Copy and paste file.'''
try:
shutil.copy(src, dst)
except OSError as exc:
raise
import hashlib
[docs]def md5(fname):
''' Get md5 hash of a file.'''
hash_md5 = hashlib.md5()
with open(fname, "rb") as f:
for chunk in iter(lambda: f.read(4096), b""):
hash_md5.update(chunk)
return hash_md5.hexdigest()


File: responseHandlers.js
/** Purpose: This is the program that processes/generates responses for requests. @class responseHandler **/ var errcode = require('./errcode'); /** Handles invalid requests and returns the appropriate error message @method invalidRequest @param response The http.Response object (originates in server.js). @param code The error code as defined in the API (see errorcode.js). **/ function invalidRequest(response, code){ console.log("error: " + code); response.writeHead(errcode.httpCode[code], {"Content-Type" : "application/json", 'Access-Control-Allow-Origin': '*' }); responseObj = { "code" : code, "message" : errcode.msg[code], "data" : {}}; response.write(JSON.stringify(responseObj)); response.end(); } /** Sends a response to a valid request. @param response The http.Response object (originates in server.js) @param data The data object (if any) to send in the response.` @param get is a boolean - TRUE for a GET or DELETE request, FALSE for a POST or PUT request. @method validrequest **/ function validRequest(response, get, data){ var httpCode; if(get == true){ httpCode = 200; } else { httpCode = 201; } response.writeHead(httpCode, {"Content-Type" : "application/json", 'Access-Control-Allow-Origin': '*' }); responseObj = { "code" : 0, "message" : errcode.msg[0], "data" : data}; response.write(JSON.stringify(responseObj)); response.end(); } exports.invalidRequest = invalidRequest; exports.validRequest = validRequest;


< prev index next > modules/javafx.web/src/main/native/Source/ThirdParty/libxml/src/include/libxml/tree.h
Print this page
/**
* xmlDocProperty
*
* Set of properties of the document as found by the parser
! * Some of them are linked to similary named xmlParserOption
*/
typedef enum {
XML_DOC_WELLFORMED = 1<<0, /* document is XML well formed */
XML_DOC_NSVALID = 1<<1, /* document is Namespace valid */
XML_DOC_OLD10 = 1<<2, /* parsed with old XML-1.0 parser */
/**
* xmlDocProperty
*
* Set of properties of the document as found by the parser
! * Some of them are linked to similarly named xmlParserOption
*/
typedef enum {
XML_DOC_WELLFORMED = 1<<0, /* document is XML well formed */
XML_DOC_NSVALID = 1<<1, /* document is Namespace valid */
XML_DOC_OLD10 = 1<<2, /* parsed with old XML-1.0 parser */
< prev index next >


the and with The was for were SARS-CoV- cells {background virus []. margin {border-style that px;} #ffffff;} infected novel antiviral clinical coronavirus treatment Vero COVID- are from patients remdesivir (Fig. activity cytokine effect which against cell has infection this viral Chinese Huh- cytokines pneumonia px; {font-family assay concentrations control effects expression font-size have influenza positive then CPE Fig. IL-, Med. analysis cells, cells. double; indicated medicine mock-treated particles respiratory study under -well Elsevier Lianhuaqingwen also associated been border-color border-width cases coronaviruses electron host inhibition levels mRNA monolayers plates replication research showed significantly solid; storm such used using viruses {font-style {font-weight < (-nCoV) After DMEM Guangzhou National SARS SARS-CoV Science Wuhan, anti-influenza bold both caused centre compared could courier; em; especially hospitalized immune including incubated infections inhibited its morphology no. pathogenic presented pt;} reduction reported resource series therapeutic vitro °C. μg/mL


{{message}}
Height
:ft
:inches
Weight
Calculate
Your BMI
{{outcome}}
Under Weight
Normal Weight
Over Weight
Obsver Weight


When you contact us, your family will be invited to take a tour of our facility. If you decide that we may be a good fit for your family, your child can spend a week at our center as a full time student*. This allows your child to experience what we have to offer. If you or your child aren't completely satisfied with your experience, we pride ourselves in offering our 30 day moneyback guarantee. For a limited time, we are also offering a 20% discount on first month of tuition for each new child.
*Our first week free promotional offer applies to full time care. If you are interested in part time care, or more of a drop in basis, your child will have a week free of hours equal to your intended need. (e.g. "I need 10 hours per week of care", your child will get 10 free hours of care to be used within the first week of enrollment!).
| Ages 3 to 5 | |
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| Full-Time | $997 |
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| *Up to 25 hours per week. |


FIELD SIMULATOR
Presets
Basics
Outer Field First
Outer Field First
Extend in 1 direction:
Layer Over Layer
Link From 2 anchor
Link From 2 anchor - 4X SBUL
Extend in 2 directions:
Layer Over Layer
Dual Wielding
Extend in 3 directions:
Spiral
Cocktail
Simulator
Portals
Log
# of Fields:
10
(
5
), # of Links:
15
(
10
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Share
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&nCopy


StepTimingFunction() is used to scale a timed item's timing such that the timed item occurs in a series of discrete steps. It is included as part of the timing dictionary.
StepTimingFunction() has the following interface with the following properties:
StepTimingFunction(numSteps, position)
| Parameter | Type | Nullable | Optional | Description |
| numSteps | unsigned integer | No | No | A number greater than or equal to one
representing the number of discrete steps in the function.
Exception: DOMException of type IndexSizeError (Raised on setting if the number of steps is zero); |
| position | StepPosition | No | Yes (Default to 'end') | The point within each interval at which the change in value occurs.
start: the change in value occurs at the beginning of the interval. middle: the change in value occurs at the midpoint of the interval. end: the change in value occurs at the end of the interval. |


Delta polytechnic bans use of face caps on campus
by The Eagle OnlineThe management of Delta Polytechnic, Ozoro, has banned the use of face caps by students on campus.
The rector of the polytechnic, Prof. Job Akpodiete, gave this order at the weekend shortly after the burning of more than 5,000 face caps seized from students.
Akpodiete, represented by the Dean of Students Affairs, Thomas Ojuye, said the move was to check the incidence of indecent dressing among students on campus.
“The management of the polytechnic came up with an advice to students to dress in a manner that is acceptable to the institution and the public.
“Sequel to the directive by the school management, the use of all manner of caps by students on campus has been proscribed,” he said.
The rector said that the polytechnic’s security unit had been authorised as a matter of importance to destroy seized caps henceforth.
The polytechnic, he said, had over the years, witnessed relative peace and cult-free academic environment.
Akpodiete described the feat as a product of conscientious and proactive measures put in place by the management of the polytechnic.
In his remark, the polytechnic’s Chief Security Officer, Simeon Eduke, described Ozoro Polytechnic as one of the most peaceful institutions in Nigeria.
He said that the destruction of the seized face caps was to serve as a deterrent to the incoming students of the polytechnic.
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--- layout: page permalink: /talks/visual-testing.html title: "Talks" tags: [Viv, Richards] imagefeature: viv.jpg chart: true ---
This session looks at why we automate UI tests, the issue with just manually testing, common end to end automation pitfalls, a brief introduction to visual testing and finally a look at common issues with visual testing and ways to overcome them.
Through the use of interactive examples the audience will gain an understanding of why relying on just manual testing can become an issue and how too much end to end automation can have a negative impact by looking at testing anti-patterns. The audience will also learn what visual testing is, what tools are available, some of the common pitfalls of using visual testing as well as tips and tricks on ways to overcome them based on experience of creating a visual test framework.


## Benson Domingo --- Not an IT but fell in love with [coding](http://hakim.se).
### Bio --- * Hometown: Satiago City, Isabela * Current work location: Calamba, Laguna * Age: 27 years old * Status: Married
### Education --- ##### Bachelor of Science in Electronics Engineering * Batch 2014 * PRC Licensed
### Employment History --- * Systems Engineer - Maxim Integrated
### Employment History --- * Test Development Engineer - Microchip Technology Inc
### Skills/Techs --- * Languages: Python, JavaScript, some Java, C
### Skills/Techs --- * Backend frameworks: Django, Express
### Skills/Techs --- * Frontend frameworks: Vue, React, Very basics of Angular
### Skills/Techs --- * Tools: Git, Github, Docker, Some k8, WSL2, VSCode
### Hobbies --- * I play drums * I love learning. I often took courses from Udemy. * Some heart for farming. I plan to start chicken egg laying business next year.


Abuse of trust.
Friends, family members, carers or company employees may be asked to look after your personal or business finances. They may instead take advantage of their access to bank accounts or information for their own benefit, or misuse the assets of a business to embezzle funds for themselves.
Personal details are stolen.
Identity theft happens when fraudsters access enough information about someone’s identity (such as their name, date of birth, current or previous addresses) to commit identity fraud. Identity theft can take place whether the fraud victim is alive or deceased.
When people respond.
Advance fee fraud is when fraudsters target victims to make advance or upfront payments for goods, services and/or financial gains that do not materialise.
Can be any fraud.
Corporate fraud consists of activities undertaken by an individual or company that are done in a dishonest or illegal manner, and are designed to give an advantage to the perpetrating individual or company. Corporate fraud schemes go beyond the scope of an employee's stated position, and are marked by their complexity and economic impact on the business, other employees and outside parties.
In collusion with vendors.
Vendor fraud can be committed by employees acting alone or in collusion with vendors. This type of fraud can also be committed by vendors on their own.
Known as insider fraud.
Asset misappropriation is a broad term that describes a vast number of employee fraud schemes. Simply, it’s the theft of company assets by an employee, also known as insider fraud.


Hospital Name
Total : 5
Hospital Full Address ·
General
0
HDU
5
ICU
0
ICU Ventl
0
Call
Book Now
Emergency Response Team - Bangalore
×
Covid Test Done ?
Yes
No
Covid Result
Positive
Negative
Awaiting
Is patient on Oxygen Cylinder ?
Yes
No
Prefer Hospital
Government
Private
Any
Submit


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Marius Isken, Sebastian Heimann, Henriette Sudhaus, Marius Kriegerowski, Hannes Vasyura-Bathke, Simon Daouts, Andreas Steinberg, Torsten Dahm
import pyrocko
A Python framework for geophysicists.
Seismological waveforms and metadata
import pyrocko.io
trace = pyrocko.io.load('waveforms.mseed')
Supported formats: MiniSEED / SEGY / SAC / GSE / SEISAN and more
trace.highpass(5.)
trace.lowpass(10.)
trace.detrend('linear')
trace.decimate(10)
...
request_waveform = fdsn.dataselect(site='geofon', selection=...)
request_waveform.read()
Access to FDSN services and IRIS WebService
global_cmt = catalog.GlobalCMT()
global_cmt.get_events(
time_range=(tmin, tmax),
magmin=2.)
Search catalogs such as Geofon, GlobalCMT or USGS ...
With the Snuffler
trace.snuffle()
Maps, Spectrograms, PSD, Hyposat (v6 support coming), Synthetic Arrival times, Partical Motion and more...
Maps, Spectrograms, PSD, Hyposat (v6 support coming), Synthetic Arrival times, Partical Motion and more...
import obspy
from pyrocko import obspy_compat
obspy_compat.plant()
# Read in MiniSEED data through ObsPy
stream = obspy.read('test.mseed')
# Start the Snuffler
stream.snuffle()
Access online resources, seamlessly
from pyrocko import dataset
from pyrocko import dataset
Pre-Calculated Green's function databases
from pyrocko import gf
source = DCSource(lat=60.2, lon=31., moment=5.4, strike=20., ...)
target = WaveformTarget(lat=10.3, lon=22.3)
result = gf.process(source, target)
source = RectangularSource(lat=10.2, lon 21.5, slip=3., ...)
target = StaticTarget(lats=[10.3, ...], lons=[22.3, ...])
result = gf.process(source, target)
Earthquake source characterization
The Earthquake Detector
Automatic event detection and location using full waveform stacksBootstrap based probabilistic earthquake source inversion
https://gitext.gfz-potsdam.de/heimann/grond/
Bootstrap based probabilistic earthquake source inversion
https://gitext.gfz-potsdam.de/heimann/grond/
Bayesian Earthquake Analysis Tool
Flexible multi-dataset deformation source optimization for extended sources, incorporating model uncertainties. - https://github.com/hvasbath/beat
Talpa
Interactive static displacement modelling serving multiple backends.
Data reduction and noise estimation for satellite-borne displacement modelling.


SHUF(1) User Commands SHUF(1) NAME shuf - generate random permutations SYNOPSIS shuf [OPTION]... [FILE] shuf -e [OPTION]... [ARG]... shuf -i LO-HI [OPTION]... DESCRIPTION Write a random permutation of the input lines to standard output. Mandatory arguments to long options are mandatory for short options too. -e, --echo treat each ARG as an input line -i, --input-range=LO-HI treat each number LO through HI as an input line -n, --head-count=COUNT output at most COUNT lines -o, --output=FILE write result to FILE instead of standard output --random-source=FILE get random bytes from FILE -z, --zero-terminated end lines with 0 byte, not newline --help display this help and exit --version output version information and exit With no FILE, or when FILE is -, read standard input. AUTHOR Written by Paul Eggert. REPORTING BUGS Report shuf bugs to<EMAIL_ADDRESS>GNU coreutils home page: <http://www.gnu.org/software/coreutils/> General help using GNU software: <http://www.gnu.org/gethelp/> Report shuf translation bugs to <http://translationproject.org/team/> COPYRIGHT Copyright © 2011 Free Software Foundation, Inc. License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>. This is free software: you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by law. SEE ALSO The full documentation for shuf is maintained as a Texinfo manual. If the info and shuf programs are properly installed at your site, the com‐ mand info coreutils 'shuf invocation' should give you access to the complete manual. GNU coreutils 8.12.197-032bb September 2011 SHUF(1)


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深圳中学致力于发展成为全球化时代中国卓越的学术性高中，培养以天下为己任、具有创新能力的未来领跑者。
建设卓越的学术性高中，必须培养一批具有国际视野、在国际环境中工作、研究的老师。现深中申请加入“麻省理工学院发明创造团队”项目。对发明创造有兴趣且有一口流利英语的同学们将有可能在我校老师的引领下组队开展创新活动。创新作品届时将提交麻省理工进行评估。
世界顶尖学府麻省理工积极推进高中学生发明创造活动。今年，由麻省理工在全球评选出来的15所“高中发明创造队伍”创作的优秀作品将于6月16日-6月18日在马萨诸塞州的剑桥EUREKAFEST展出。
展示结束后，麻省理工将于6月20日- 6月26日给部分老师（老师名单由麻省理工学院根据教师资历和英语水平决定）提供“科学及工程”项目SEPT培训。参加培训的老师需回国后组建发明创造队伍。
深圳中学拟派1-3名热衷发明创造、亲近学生、有责任感、英语流利的数学或科学（理、化、生）老师参加EUREKAFEST展出活动，并参加SEPT培训项目的角逐。
有兴趣的老师请速在三天之内联系外事工作室高青老师。
2010-3-24
深圳中学：建设卓越的学术性高中，培养拔尖创新人才
以下是“微软-麻省理工学院发明创造项目中国组队计划书”。
MIT-Microsoft InvenTeam China Proposal
What Is InvenTeam?
The InvenTeam initiative, created by the Lemelson-MIT Program, offers an unparalleled opportunity for high school students to cultivate their creativity and experience invention.
InvenTeams are teams of high school students, teachers, and mentors that receive grants up to $10,000 each to invent technological solutions to real-world problems. Each InvenTeam chooses its own problem to solve.
Learning Beyond the Classroom: InvenTeam students rely on inquiry and hands-on problem solving as they apply lessons from science, technology, engineering, and math (STEM) to develop invention prototypes. Interactive, self-directed learning coupled with STEM curricula are essential for experiencing invention.
Students learn to work in teams, while collaborating with intended users of their inventions. They partner with professionals in their communities to enrich their experiences. Most of all, students learn to move forward through challenges and celebrate "Eureka!" moments.
Who Can Be Involved?
School: All high schools in China who are interested in cultivating a culture of invention through starting an InvenTeam are welcome to send a teacher to first participate in EurekaFest this Jun 16-18 and then to start a club within their school to compete for the $10,000 grant in 2011. The commitment includes:
• Sending the lead teacher as part of the China delegation to visit MIT to participate in EurekaFest and possibly the SEPT program the following week (http://web.mit.edu/scienceprogram/)
• Providing the space, time, and support to select and host a team of teachers, students, corporate mentors, and parent mentors to be a part of the school team.
• Come up with a fair, transparent, and reproducible process of selecting students to be a part of the school team.
Parents: Parents of students who are part of each school’s InvenTeam are invited to be part of the parent mentor team. Parent mentors can bring experience from his/her own educational and research background, as well as knowledge and expertise from industry. They also offer unique insights from a practical living perspective.
Corporate Sponsors: Multi-national corporations are invited to become corporate sponsors in adopting a school. The commitments include:
• Providing 2-3 volunteer mentors who will help mentor the students from their “adopted” school in learning about the process of invention. S/he will help direct students to the appropriate tools and resources that is available to him/her from within the company. The minimum commitment of each volunteer would be 4 hours (2 hours every other week) each month for the bi-monthly meetings as well as additional informal time of mentoring.
• Provide funding to send the “adopted” lead teacher to Cambridge for training.
• The corporation can use any of the materials from its participation in the InvenTeam for its publicity purposes.
MIT Alumni Volunteers in China: There are a number of MIT alumni volunteers either assigned to these schools as Educational Counselors (interviewing applicants to MIT from these schools) or other alumni who are fluent in both Chinese and English who understand the culture of invention at MIT who can help the students in their process of learning to invent.
Media Partners: Partners from media are invited to follow a team and document or broadcast this process through various means, from print to blogs and videos.
When: Timeline
The Lemelson-MIT Program announces a new class of InvenTeams each October, which begins the nine-month grant cycle. InvenTeams garner positive publicity for their school and community throughout the cycle, beginning with the
press release.
Many InvenTeams delegate roles to initiate work.
Organization can maximize team productivity.
There is no manual for the InvenTeam grant cycle. Each InvenTeam creates an individual path due to project variation. However, most experience the cycle through three phases.
Concept Phase
Gather additional research about users' needs, competitive products, and existing patents, if necessary
Brainstorm ideas for solutions
Design Phase
Conceptualize several solutions
Investigate the feasibility of each solution
Select the best solution
Create a detailed design using tools such as SolidWorks 3D CAD software
Determine materials and resources
Build Phase
Construct and test experimental prototypes
Field test prototypes
Build alpha prototype
InvenTeams access information and resources through a private portlal on the InvenTeam website. They also manage their finances and submit reports there. During the grant cycle, a Lemelson-MIT employee may visit an InvenTeam at its school to review its progress.
Reporting and Documenting Work
InvenTeams write updates on the InvenTeams’ Blog and share digital photos and videos of their work to report their progress. Many will also engage media to publicize significant milestones. InvenTeams are required to submit two formal reports:
Mid-Year Progress Report: Details process and achievements during the first half of the cycle, plus plans for future development.
Summary Report: Includes an executive summary, description of invention, and design process, plus additional sections, due upon completion of the grant cycle.
Celebrating the InvenTeam Experience at MIT In June, students, teachers, and mentors representing each InvenTeam travel to Cambridge, Mass., for the Lemelson-MIT Program's EurekaFest, a multi-day celebration of the inventive spirit. During EurekaFest, InvenTeams showcase their prototypes at a public exhibit and attend workshops for guidance on sustaining an inventive culture. Select InvenTeams will formally present their projects to attendees.


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This is a single page boilerplate template that you can copy to build your first jQuery Mobile page. Each link or form from here will pull a new page in via Ajax to support the animated page transitions.
Just view the source and copy the code to get started. All the CSS and JS is linked to the jQuery CDN versions so this is super easy to set up. Remember to include a meta viewport tag in the head to set the zoom level.
This template is standard HTML document with a single "page" container inside, unlike a multi-page template that has multiple pages within it. We strongly recommend building your site or app as a series of separate pages like this because it's cleaner, more lightweight and works better without JavaScript.


rule examples
-
(informal) if the domain and range of a function are both real numbers,
then one way to present the function is a plot
Everything in the kitchen should be visible
A resource can be represented by an element
A data-typed property can be represented by an RDFa element directly inside
of the element representing the subject resource
An element representing a resource as RDFa should have a
resource
attribute with a value of the resource's IRI
An element representing a property as RDFa should have a
property
attribute with a value of the property's IRI
An element representing a datatype property as RDFa should directly contain
a representation of the literal value
An element representing an object property as RDFa should directly contain a
link to the object


Singer Raquel Now An Actress, Stars In First Movie Titled ‘Gold Coast Lounge’
by BB JonesGhanaian singer, Raquel who is remembered for her relatively hit song, ‘Sweetie o’ ft. Sarkodie, has starred in her first movie titled Gold Coast Lounge.
Raquel plays ‘Black Rose’, a young singer full of dreams and ambition in the movie. This is a film by former music video director Pascal Aka.
‘Gold Coast Lounge’ also features actors Alphonse Menyo, Adjetey Anang, Zynnell Zuh, Cina Soul and many more.
After watching the trailer myself some weeks back, I was convinced this is a beautiful movie that could earn an international recognition.
The concept, dialogue and costume which was set in the past (during the time Ghana was called Gold Coast) is so on point.
The movie will be premiered on January 3, 2020 at Silverbird Cinemas, Accra Mall and January 4, 2020 at Silverbird Cinemas, West Hills Mall.


I'm a FullStack Software Engineer with three years of experience working across Front-End to Back-End technologies. I’m really excited to learn new technology and use it to solve challenging problems. I'm also learning Front-End development since I just started to fall in love with it. I'm looking for new opportunities that allows me to apply my experience and skill set to contribute to the success of the company while growing to be a better Software Engineer.
 Oh, did I mention I'm a huge addict of bubble tea, almost always up to grab one. I love CATSSSS, whatever they are doing.


I am a web developer, I developed Dynamic websites which I have obtained the skill through CodeSpace and self-learning
I like being neat, organized and methodical in life but most of the time I’m happiest when things are a spur of the moment. I love schedules, but I get bored with redundancy and need constant change in my life.
I’m very compassionate, but I’m very selective on those I let close to me. I’m very back and forth in terms of what works best for me and because of it I’m a bit of an unpredictable person.
I studied Matric,some of the subjects I did were Physical Science,CAT and Mathematics
I studied ICT wich included Proggramming
Currently doing full-stack web development languages such as JavaScript,PHP,jQuery libaries,MySQL,SQL and frame works such as HTML,and css.
I was uploading content on FastMaths App,using KaTeX which is a cross-browser JavaScript library that displays mathematical notation in web browsers. It puts special emphasis on being fast and easy to use
I learnt Python is an interpreted, high-level, general-purpose programming language
I was developing websites with marketing in mind.I create websites with customer's behaviour in mind using wordpress.
If you'd like to make an enquiry, please feel
free to get in touch, and I will respond as soon
as possible.
If you prefer to contact me directly,
send your Email to: lilithakganya@gmail.com


Attention Networks in PyTorch
Tutorial: Multi-layered Recurrent Neural Networks (RNNs) with Long-Short Term Memory (LSTM) units which are deep both spatially and temporally.
(a) Attention mechanism: The Convolutional Neural Network (GoogLeNet) takes a video frame as its input and produces a feature cube which has features from different spatial locations. The mechanism then computes xt, the current input for the model, as a dot product of the feature cube and the location softmax lt obtained as shown in (b). Notation and further details are explained in the paper.
(b) Recurrent model: At each time-step t, our recurrent neural network (RNN) takes a feature slice xt, generated by the attention mechanism, as the input. It then propagates xt through three layers of Long Short-Term Memory (LSTM) units and predicts the next location probabilities lt+1 and the class label yt. Check out the paper for further details.
So how do we do Attn nets in Python?
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import torch
import torch.nn as nn
from torch import optim
import torch.nn.functional as F
from torch.autograd import Variable
class Encoder(nn.Module):
def __init__(self, input_size, hidden_size, bidirectional = True):
super(Encoder, self).__init__()
self.hidden_size = hidden_size
self.input_size = input_size
self.bidirectional = bidirectional
self.lstm = nn.LSTM(input_size, hidden_size, bidirectional = bidirectional)
def forward(self, inputs, hidden):
output, hidden = self.lstm(inputs.view(1, 1, self.input_size), hidden)
return output, hidden
def init_hidden(self):
return (torch.zeros(1 + int(self.bidirectional), 1, self.hidden_size),
torch.zeros(1 + int(self.bidirectional), 1, self.hidden_size))


Hey there! I see you're looking for medicare information. Want us to send you a free copy of our "Medicare Shopper's Guide"? Just enter your information below.


| AbstractCurvatureScaleSpaceMapper |
|
| ContourFinder |
class to identify contours in scale space images.
|
| CSSContourInflectionMaker |
class to map contours from one image to another and return the
matched inflection points and a transformation matrix that can
be applied to the first to put it into the frame of the second.
|
| CSSContourMatcher |
class to match the contours extracted from two images and match them.
|
| CSSContourMatcherWrapper |
class to use CSSContourMatcher to match the given contours lists from the
edges of two different images
with logic to retry with reverse ordered lists when needed for scales < 1..
|
| CSSCornerMaker |
The code is implemented from interpreting several papers by the authors
Farzin Mokhtarian and Alan Mackworth.
|
| CurvatureScaleSpaceContour |
class holding data for a contour for an edge in a scale space image.
|
| CurvatureScaleSpaceCornerDetector |
NOTE: this implementation needs to be improved but it is low priority.
|
| CurvatureScaleSpaceCurvesMaker |
|
| CurvatureScaleSpaceImageMaker |
given an image, creates scale space maps to find inflection points
and creates scale space contours for the closed curves from those
points.
|
| CurvatureScaleSpaceImageMaker.DescendingScaleSpaceComparator |
|
| CurvatureScaleSpaceImagePoint |
|
| CurvatureScaleSpaceInflectionMapper |
class to map contours from one image to another and return the
matched inflection points and a transformation matrix that can
be applied to the first to put it into the frame of the second.
|
| DescendingKComparator |
comparator for absolute value of k, descending sort
|
| DescendingSigmaComparator |
|
| DescendingSigmaComparator2 |
reorders the lists by the largest sigma in the first item.
|
| NextContour |
A class to serve the purpose of an adjacency matrix (via rules to choose
the "neighbor contour") and the state of "un-visited" for the A* search
algorithm.
|
| ScaleSpaceCurvature |
|
| ScaleSpaceCurve |
Holds X(t, sigma), Y(t, sigma), k(t, sigma) and the array t where t is
the point index in the closed curve it is on, normalized to values that
range from [0, 1) (e.g.
|
| ScaleSpaceCurve2 |
extends ScaleSpaceCurve to hold the gaussian 2nd derivatives in x, and y
|
| ScaleSpaceCurveImage |
Holds the inflection points of a curve convolved over many sigma until
there are no new inflection points.
|
| TransformationPair |
|
| TransformationPair2<T extends CornerRegion> |
|
| TransformationPair4 |
|


Before Change
help_flags = set(["-h", "--help", "help"])
show_help = len(help_flags.intersection(args)) > 0
non_help_args = filter(lambda f: f not in help_flags, args)
goals, specs, fail_fast = GoalRunner.parse_args(non_help_args)
if show_help:
self.new_options.print_help(goals=goals, legacy=True)
sys.exit(0)
After Change
fail_fast = self.new_options.for_global_scope().fail_fast
for goal in goals:
if BuildFile.from_cache(get_buildroot(), goal, must_exist=False).exists():
logger.warning(" Command-line argument "{0}" is ambiguous and was assumed to be "
"a goal. If this is incorrect, disambiguate it with ./{0}.".format(goal))


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Yo
Yo source:
anonymous sent a Yo to anonymous.
You are anonymous.
Send a Yo to


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IBM Bluemix MongoDB Storage Lab
Create a Bluemix application with a MongoLab Service
-
Log in to the Bluemix console. Visit console.ng.bluemix.net and select LOG IN.
-
After logging in, you will be in the DASHBOARD view.
-
Click CREATE APP.
-
Select WEB.
-
Select the SDK for Node.js option, then click CONTINUE.
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Name your app…, then click FINISH.
-
Once your application has been created by IBM Cloud, click ADD A SERVICE OR API.
-
In the "Data & Analytics" section, select MongoLab.
-
Click USE to confirm the creation of the service.
-
After the service has been created, a popup window requesting to restage your application will appear. Click RESTAGE.
-
Wait for your application to finish staging. A message indicating that "Your app is running" will be displayed when done.
Set up your IBM Cloud development environment
Install MongoDB
-
Install MongoDB into your gateway device using PuTTY. Run:
npm install mongodb
Create a MongoDB Client
-
Create a folder named
mongodb
. -
Change to the directory mongodb and create a javascript file
index.js
-
Open index.js file and create a node reference variable for the module and client object for establishing a database connection.
var mongodb = require('mongodb'); var MongoClient = mongodb.MongoClient;
Establish a connection with MongoLab Service
The connect function returns a db object, which contains the collection object. The collection object is used to insert and retrieve data from cloud.
-
Obtain the connection url from the Bluemix console.
From your application's dashboard, locate the MongoLab service then click Show Credentials.
-
Copy the uri string under mongolab > credentials.
-
Pass the uri to the connect function, api provided by the mongodb node package.
db = MongoClient.connect(uri, function(err, db) {});
Store data in IBM MongoDB
Data can be stored as JSON objects or an array of JSON objects. In this demo, we are storing the sensor data with sensor id, value and timestamp fields.
For example:
data = {‘sensor-id’ : ‘sens341’, ‘value’ : 65.5, ‘timestamp’: }
db = MongoClient.connect(config.url, function(err, db) {
collection = db.collection(config.db);
collection.insert(data, function(err, result) {});
});
Query Data
Timestamp based query
dataQuery = { "timestamp": { $gt: readQuery.timestamp } };
Sensorid based query
dataQuery = { "sensor_id": { $eq: readQuery.sensor_id } };
Run query
collection = db.collection(self.config.db);
collection.find(dataQuery).toArray( function(err, items) {
if(!err)
console.log(JSON.stringify(items, null, ' '));
});
Additional resources
IBM Cloud documentation - https://www.ng.bluemix.net/docs/
Mongodb npm module - https://www.npmjs.com/package/mongodb
IBM Bluemix IoT starter application to visualize data - https://www.ng.bluemix.net/docs/starters/IoT/iot500.html
IoT Foundation Recipes - https://developer.ibm.com/iotfoundation/
MQTT - http://mqtt.org/
Node-RED - http://nodered.org/


Make-a-Poll lets you effortlessly create polls and analyze the results.
Team Members: Aravind Apoorve Pratyush
Made using Bulma.css, Chart.js and Font Awesome.


About
Events
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Hybrid PI Planning is probably one of the most challenging meetings or events to facilitate at organisations that are building software at scale. This is a two-part collaboration between myself and the wonderful people at Miro
I created this Miroverse template, which you can use to facilitate your PI Planning events https://miro.com/miroverse/hybrid-pi-planning-board/
I wrote an accompanying long-form blog post for Miro about how to facilitate Hybrid PI Planning https://miro.com/blog/ultimate-guide-facilitating-hybrid-pi-planning/


Endless Plains [aj69], plain, in Imperia, peasants: 114
Last updated Turn #94
Endless Plains [aj69], plain, in Imperia, peasants: 114
------------------------------------------------------------------------
14: Pack of wolves [fy5l], wolves, number: 6, went north.
14: Stack of nazgul [ga2i], nazgul, arrived from the north.
16: Horde of rats [cv7u], rats, number: 28, went east.
16: Stack of nazgul [ga2i], nazgul, went south.
16: Gianni [v7p], refugee, with one peasant, arrived from the west.
17: Horde of rats [db2e], rats, number: 27, arrived from the north.
18: Gianni [v7p], refugee, with one peasant, went east.
19: Horde of rats [db2e], rats, number: 27, went south.
22: Pack of wolves [ig5h], wolves, number: 8, went north.
28: Duncan Lagavulin [i7g], refugee, with one peasant, arrived from the
28: north.
30: Duncan Lagavulin [i7g], refugee, with one peasant, went south.
30: The population grows by one peasant.
Routes leaving Endless Plains:
North, plain, to Endless Plains [ai69], 7 days
East, forest, to Old Forest [aj70], 8 days
South, plain, to Endless Plains [ak69], 7 days
West, plain, to Endless Plains [aj68], 7 days
It is raining.
Seen here:
Stack of nazgul [gx9j], nazgul, number: 4
Duncan Lagavulin [i7g], refugee, with one peasant


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| Overview |
| What is
Swig? Swig is an application that generates wrapper code for a native DLL to interface with other languages allowing you to use a C/C++ library in one of the supported languages. Currently Swig configuration for RakNet is set up to generate a managed interface that can be used in managed C# in Windows, as well as in Linux with Mono. Swig generates a CXX and .h file, which exposes interfaces that can be used by the target language. The CXX file is included when building the C++ dll that the target language uses. Swig also generates files in the target language for inclusion in the project of the target language to interface with the dll. These are added to the project of the target language. What is Mono? Mono is a cross platform implementation of the .Net framework. This allows you to compile C# and other .Net code and run them on platforms that originally are not .Net compatible like Linux. Choices to Make. You may choose to use the tools with RakNet or start from scratch. On Windows batch tools are provided make the process easier. These tools are located under the Swig Directory under DependentExtensions. For Linux the tools will use Wget to pull down Swig and install version 2.0.00 if Swig is not installed. You may also download Swig yourself and compile them by specifying the options manually. In the manual portion the options used will be explained. Step Summary Manually:
*Windows -Using DLL_Swig\RakNet.sln solution
*Linux
|
| Downloading Swig |
| Windows Download Swig and Unzip.
Download Swig,Unzip,Make, and Install. Note: You may be able to install Swig using your favorite package manager, if you can go that route do so. The instructions vary depending on your package manager and distribution. The batch file will attempt to install 1.6, but it is recommended to use the package manager if you are able to.
|
| Generating the Swig Files Using Included Tools |
| Generating
the Swig Files Using Included Tools on Windows. Note: This step on Windows can be skipped if you are using the included DLL_Swig project as it runs the tools on rebuild.
Note: The Linux batch requires Wget,Tar,Make and GCC to be installed, unless swig is already installed. Most of the time Wget,Tar,Make and GCC are already installed.
|
| Generating the Swig Files Manually |
| Windows Generate the Swig Files
Generate the Swig Files
-c++ This must come first. This means that the source files are C++ not C. -csharp This is the target language. Currently the files are made for C# and may not work with the other options. -namespace RakNet This puts the generated files in the C# namespace RakNet -I"PATH_TO_RAKNETSOURCE" This option includes the directory for any source and includes if different from the interface file location. -I"SwigInterfaceFiles" This option includes the directory for the interface files. -outdir SwigOutput/SwigCSharpOutput This is where the output files to be included in the target language are placed. -o SwigOutput/CplusDLLIncludes/RakNet_wrap.cxx This is where the file that is included in the DLL project is placed. *The below two are used if SQLiteClientLoggerPlugin is used: -I"PATH_TO_SQLITEPLUGIN" Another include directory, the base directory where the SQLite plugin is. -DSWIG_ADDITIONAL_SQL_LITE A conditional compilation symbol, defined to include SQLiteClientLoggerPlugin. |
| Creating the Swig Wrapped DLL Project |
|
Windows Note: If you do not plan on using SQLiteClientLoggerPlugin, DependentExtensions\Swig\DLL_Swig\RakNet.sln already contains a DLL project that makes the Swig files, builds the DLL, and copies it to the C# sample. You do not need to run these steps if you use that project. In that case, run the solution, rebuild the project, and goto "Creating the C# project" Creating the Swig DLL
Linux Creating the Swig Dynamic Link Note:
If you ran the linux batch tool it will have made the dynamic link and
attempted to install it, so you may skip these steps if it ran
successfully.
|
| Creating the C# project |
| Windows C# Project Setup
C# Sample A C# sample project is included under DependentExtensions\Swig\SwigWindowsCSharpSample. The DLL file is not included and needs to be copied to the bin/Debug or the bin/Release folder depending on whether or not you are doing a release or debug build. If the DLL_Swig project is used the dll is copied automatically. Linux Installing Mono, if it is not Installed Note: Mono greater than version 2.0 is needed for full compatability, earlier versions work with most of RakNet but cause crashes in some of it. You may be able to install Mono using your favorite package manager, if you can go that route do so. The instructions vary depending on your package manager and distribution. Some package manager have different options for the C# compiler. This tutorial assumes gmcs is installed.
C# Project Setup Note: If you used the included tools and just want to run the sample you may skip this section.
A C# sample is included under DependentExtensions/Swig/SwigLinuxCSharpSample. The DLL file is not included and needs to be copied to /usr/lib as per the earlier instructions. If the tools are used the cs files are automatically copied to the sample directory and there is an attempt by tools to copy the dll to /usr/lib. |
| Limitations |
Limitations
|
| Important
Information |
Important Information
|
| See Also |


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Shawn Kaleka, Vice-President
After attending undergraduate and Medical School in Europe at the University of Silesia and Debrecen University, respectively, Shawn returned to California to pursue business. He is co-owner and CEO of Compassionate Care Home Health Agency, LLC. The company is Central California's largest privately held home health agency, offering employment to over 220 individuals and providing care to over 700 patients. Shawn is keen to give back to those in need via the Mobile Health Clinic of which he currently serves as Vice-President.
Nicholas Sanchez, CFO/Treasurer
Nick received his bachelor's degree in Interdisciplinary Health and Rehabilitation Sciences from California State University, Fresno and is very passionate about continuing to better the current medical landscape with his passion and proven success in helping grow Compassionate Home Health Agency into the Central Valley's largest privately held agency in under three years. Nick will be overseeing the daily operations to help maintain fluidity in each aspect of the operation, as well as mitigating any issues that may arise. Nick gained his knowledge from his current successful role as C.O.O. and co-owner of Compassionate Care Home Health Agency: Nick has developed innovative ways to lower hospital readmission rates and thereby save Medicare, local hospitals, and other healthcare providers remarkable funds. He has created, and sustained, a formidable network of healthcare professionals equally eager to make an impact in the community.
Kendra Albanese, Secretary
Kendra earned her master's degree from California State University, Fresno and draws her expertise from her positions as Director of Therapy of Compassionate Care Home Health Agency and Speech Language Pathologist at Community Medical Centers. Kendra has a penchant for working with patients with complex needs and has been crucial in helping Compassionate Care Home Health Agency become a leader in providing therapy services with her diligence in management and her vast knowledge of the healthcare continuum.
This team of power professionals and ambitious students are now joining forces and resources to bring that same "Compassionate Care" to individuals with limited access to basic medical services, most specifically the homeless population. These efforts will decrease preventable and unnecessary Emergency Room visits, thereby saving significant funds for the state, Medicare, the multiple hospital systems, and the community at large. As a group, we have proven ourselves as devoted to putting patients above all else, while utilizing innovative strategies to provide medical services to keep overhead costs low.
Donya Sarrafian, CEO/President
Donya is an undergraduate student at Stanford University in Palo Alto, CA. She is majoring in Biochemistry and minoring in Management Science & Engineering. Donya is on the board of directors for Compassionate Care’s Mobile Health Clinics initiative, and is working as CEO to expand access to healthcare to homeless people in her region. She is passionate about the intersection of business and medicine, specifically optimizing healthcare and ultimately striving to remedy the socioeconomic issues facing access to healthcare in America.


Define a field in xml, whether it is an element or attribute, or not marshalled at all.
| Attribute | Description | Required |
| node | values ("attribute"|"element") | No, defaults to "element" |
| marshal | boolean whether this field should be part of xml version of this class. | No, defaults to true |
<field name="name" type="string" > <xml node="attribute" / > </field >This will cause class Foo to be marshalled as
<Foo name="John" />whereas no <xml> node would result in
<Foo > <name > John </name > </Foo >
Copyright © 2000,2001,2002 Paul Bethe and Richie Bielak. All rights Reserved.


Let's run some demo-projects to see how the developed models look like. The DSDS DSE has several pre-developed models that can be found under Examples menu. Please select one of the model names from the Examples menu dropdown list of models.
The model is drawn on the Design Space located on the left of this Help Pane. The model is auto scalable and you can see it enlarged when you either expand the DSDS DSE window or close this Help Pane. When model is created in Design Space you can fiddle with it by applying to it different menu operations.
You can apply to the model any modification you might want to try. Those modifications will exist at runtime only. When the same model name is selected from Examples menu again the new model is programmatically regenerated from the scratch. In order to preserve all the modifications you just have accomplished use Project -> Sase Project As menu item to save the modified model on your hard drive.


Hi, I am a Junior front-end web developer with +5 years’ experience in HTML, CSS, JS, jQuery and BOOTSTRAP. I am also equiped
with the knowledge of Wordpress, Laravel, Mailchimp, PHP, Java, MYSQL and Responsive web development. Your website
will display and work well on any screen – desktop, laptop, tablet or smartphone. I would love to hear about your
web projects and offer some creative ideas to make them even more outstanding.
Your design ideas and my technical know-how will blend together to create a website that will be professional,
user friendly and dependable – year in and year out. My clients tell me that I have been able to accomplish tasks
for them that many other contractors have been unable to. Just give me an opportunity to review your project and
see if I am the best fit for the job.
CGPA: 3.03
CGPA: 3.4
CGPA: 3.6
Apart from being a web developer, I enjoy most of my time being discussing about new ideas and technologies that could help common daily problems. I also enjoy playing computer games and sports like Table Tennis, Basket Ball and Volley Ball.
I am also interested in other fields like Game Development, E-sports, Blockchain, Quantum Physics and Mathematics.


--- title: "Open-source reporting platforms" permalink: "/topic/platforms/" layout: "topic" topic-tag: "platforms" show-resources: true ---
Open-source SDG reporting platforms can serve to gather, host, secure, and display the SDG indicator data and metadata. Some countries have utilized open-source tools for specific functions such as data quality checks or analysis. Open-source platforms allow countries to share progress and developments with others using this approach.


Before Change
return total/k
def getOptimalReward(self, user, articlePool, exclude = []):
maxReward = float("-inf")
maxx = None
for x in articlePool:
reward = self.getReward(user, x)
if reward > maxReward and x not in exclude:
After Change
return total/k
def getOptimalReward(self, user, articlePool, exclude = []):
art_features = np.empty([len(articlePool), len(articlePool[0].featureVector)])
for i in range(len(articlePool)):
art_features[i, :] = articlePool[i].featureVector
user_features = self.get_user_features(user)
reward_matrix = np.dot(art_features, user_features)
pool_position = np.argmax(reward_matrix)
return reward_matrix[pool_position], articlePool[pool_position]
// ////// Broadcasting Here //////////////
// def getOptimalReward(self, user, articlePool, exclude = []):


Hello, I am Anoopjot Singh, web designer and developer working to create the best Illustrations, graphic designes, logos and websites with
modern technologies in mind and the fundamentals of usability.
I’m located in New Jersey where I work and a UI/UX designer for some great clients across New Jersey and New York.
Despite acquiring considerable knowledge in my development time, I do not rest on my laurels and
constantly try to develop, which allows me to stay up to date and improve upon my skills as a designer.
Create a website as a tribute to Michael Jackson. Add design is custom made with tools like adobe illustrator and XD.
Tools: HTML, CSS and design mockup made in Adobe XD


Light Bootstrap Dashboard
Bootstrap 3 Documentation
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Light Bootstrap Dashboard Laravel
Elements description v2.0.0
Bootstrap 4 Version
View Documentation Online


Intent Targeting at Local Response.
Originally I was introduced to the following company idea behind the product: target people that have an intent to purchase something or perform another action of interest ╨ install an app, check-in to the place, etc. Then I was introduced to a bunch of ideas and thought of how Niels sees it on a higher level, in theory. I started working on implementing those ideas in practice and creating a product of intent. Some of the original ideas need to be reconsidered and reformulated along the way, and I think it?s time to define them more precisely.
Here are some aspects of the product I feel I need to bring up.
a) Do we need to target an audience? If yes, we need to define what is audience and model it in terms of signals we can get. For example, we can formulate a main goal this way: ?Reach a certain crowd that we established are good candidates for a campaign.? We have to break this goal apart: (1) Define this crowd in terms of their online and mobile activity potentially accessible to us. (2) Decide how we are going to model correspondence between (a) selected audience online activities and (b) campaign targets. (3) Decide on a way to verify a. if we selected the right audience for a campaign based on our criteria of audience selection; b. if targeting that audience had its contribution toward further action (whether that action can or cannot be measured directly).
It immediately becomes clear that absolutely not all ?potentially reachable? online and mobile activity of people has a direct relation to a product. It?s even harder to establish that relation with respect to an action other then product purchase.
Yes, there are some easy examples in a broad sense of how we understand intent that are relatively easy to model - like ?Travel? category. People look for places to visit online, they monitor vacation deals & packages, hotels and airline tickets, they are being ╥social╙ about their plans ╨ discuss travel plans, share travel pictures and thoughts, write reviews, and easily get influenced by their friends travel. Travel category is unlike any other in this respect, because it is well-defined in online activity and fairly simple.
That will be true for a category of targets that require long planning (expansive purchases)
Wish lists are direct intent signals. However, this is only related to products and brands, which are the easiest to model, but not in all cases. Here is an example. One can target those who look online for beauty product, for car, or travel, or a certain entertainment sector. But our categories of interest are much more broader then that. Nobody will search for eye drops, or nail polish removal, or toothpaste, or chicken nuggets as well as for retail stores or holiday activities. Majority of our targeting goals lie beyond simple product pages or wish lists. Therefore, we need to build something more complex and advanced to reach our goal.
b) One huge problem is KPI. Although traditionally its all measured in clicks, we have a chance to contribute with much more insightful KPIs, whether measured directly or indirectly. Elaborating on the idea that we reach a crowd with certain interests reflected in online and mobile activities.
So, it looks like we are finding the right audience for a certain campaign. What╒s innovative about that? Many companies do it. Here is what I think is novel: we formulate it in terms of intent that has several levels from informational stage to ready-to-take-action stage and track person╒s intent path. We won╒t only target those people who are ready-to-take-action (that is what wish lists provide), but capture interest or even potential interest to a product reflected I other signals. The conceptual basis is given by an Intent Ontology that provides a unified view to different types of signals and data sources and map campaign targets to select the right audience from signals.
Advance scoring is not possible within this framework ╨ it╒s a scoring on demand. At the moment when campaign goal is formulated in terms of ontology concepts, the audience is obtained, where each user entity has a numeric equivalent of fit to a campaign goal. Currently, we call it an ╥intent score╙ and it╒s simply a score within a topic, mostly based on one signal source (AddThis).
The industry has no metric that can be estimated directly (too many unknowns in the equation!). Even with a fact of purchase or other action we deal with attribution and incomplete view of the number of actions.
Eventually, we won╒t match signals to topics by configuring keywords but will pick up keywords set from our ontology specific for each signal and match, thus providing a component score from one signal source.
Other companies also define their audience to target, but do it in a simpler way: by demographic features, by context of pages people visit, combination of both. The difference is they use click as a metric and optimize toward a click, the audience definition is restricted to location or demographic, or content. Our intent model has levels of intent, decay component, sources of data that compliment each other.
Intent targeting: how is it different from demographics.
What they call ?demographics? in advertising is reaching a crowd they think might have intent. So, in a way it is an inferred intent. How is it different from intent?
?Pyramid of intent? ? information is flashed against your eyes; you can ?block? and ?ignore? it immediately as annoying (if you classify this event to the category of annoying events so this event is similar to those other events you hate). Or you can actually allow your brain to remember this.
Example: TV show ad, ?Jennifer falls? in the train. The first time I saw it I thought that it kind of looks interesting. I saw it at least 5 more times until I remembered to write about it here, and the next step is to check it online.
First time I saw this ad it stack to the memory. We can infer intent from this fact alone taking to account al the unknowns! For example, knowing initial values what proportion of people mentally block this kind of info and what do not. We could estimate this from demographics! ? Traditional method of targeting, knowing how many people are in US of a certain age and gender to whom this would be interesting.
So, we won?t target directly Millennial, rather let?s think what kind of clients do we have for millennial and what kind of products do they have then let?s describe those as signals of indirect intent.
Bayes formula: Prior probability ? what percent of a total crowd is interested in the ad? (we can estimate it in a more complex way, go find gender and age group, estimate those and guess or rely on some study that was performed by somebody, like Nielsen.)
Get posterior probability: how many times this person read about our target category.
Here is another thought: in order to make intent different from demographics, and to make it stronger we have to have direct connection between targets and labels.


The st driver provides the interface to a variety of SCSI tape devices.
Currently, the driver takes control of all detected devices of type
“sequential-access”. The st driver uses major device
number 9.
Each device uses eight minor device numbers. The lowermost five
bits in the minor numbers are assigned sequentially in the order of
detection. In the 2.6 kernel, the bits above the eight lowermost bits are
concatenated to the five lowermost bits to form the tape number. The minor
numbers can be grouped into two sets of four numbers: the principal
(auto-rewind) minor device numbers, n, and the
“no-rewind” device numbers, (n + 128). Devices opened
using the principal device number will be sent a REWIND command when
they are closed. Devices opened using the “no-rewind” device
number will not. (Note that using an auto-rewind device for positioning the
tape with, for instance, mt does not lead to the desired result: the tape is
rewound after the mt command and the next command starts from the beginning
of the tape).
Within each group, four minor numbers are available to define
devices with different characteristics (block size, compression, density,
etc.) When the system starts up, only the first device is available. The
other three are activated when the default characteristics are defined (see
below). (By changing compile-time constants, it is possible to change the
balance between the maximum number of tape drives and the number of minor
numbers for each drive. The default allocation allows control of 32 tape
drives. For instance, it is possible to control up to 64 tape drives with
two minor numbers for different options.)
Devices are typically created by:
mknod -m 666 /dev/st0 c 9 0
mknod -m 666 /dev/st0l c 9 32
mknod -m 666 /dev/st0m c 9 64
mknod -m 666 /dev/st0a c 9 96
mknod -m 666 /dev/nst0 c 9 128
mknod -m 666 /dev/nst0l c 9 160
mknod -m 666 /dev/nst0m c 9 192
mknod -m 666 /dev/nst0a c 9 224
There is no corresponding block device.
The driver uses an internal buffer that has to be large enough to
hold at least one tape block. In kernels before 2.1.121, the buffer is
allocated as one contiguous block. This limits the block size to the largest
contiguous block of memory the kernel allocator can provide. The limit is
currently 128 kB for 32-bit architectures and 256 kB for
64-bit architectures. In newer kernels the driver allocates the buffer in
several parts if necessary. By default, the maximum number of parts is 16.
This means that the maximum block size is very large (2 MB if
allocation of 16 blocks of 128 kB succeeds).
The driver's internal buffer size is determined by a compile-time
constant which can be overridden with a kernel startup option. In addition
to this, the driver tries to allocate a larger temporary buffer at run time
if necessary. However, run-time allocation of large contiguous blocks of
memory may fail and it is advisable not to rely too much on dynamic buffer
allocation with kernels older than 2.1.121 (this applies also to
demand-loading the driver with kerneld or kmod).
The driver does not specifically support any tape drive brand or
model. After system start-up the tape device options are defined by the
drive firmware. For example, if the drive firmware selects fixed-block mode,
the tape device uses fixed-block mode. The options can be changed with
explicit ioctl(2) calls and remain in effect when the device is
closed and reopened. Setting the options affects both the auto-rewind and
the nonrewind device.
Different options can be specified for the different devices
within the subgroup of four. The options take effect when the device is
opened. For example, the system administrator can define one device that
writes in fixed-block mode with a certain block size, and one which writes
in variable-block mode (if the drive supports both modes).
The driver supports tape partitions if they are supported
by the drive. (Note that the tape partitions have nothing to do with disk
partitions. A partitioned tape can be seen as several logical tapes within
one medium.) Partition support has to be enabled with an ioctl(2).
The tape location is preserved within each partition across partition
changes. The partition used for subsequent tape operations is selected with
an ioctl(2). The partition switch is executed together with the next
tape operation in order to avoid unnecessary tape movement. The maximum
number of partitions on a tape is defined by a compile-time constant
(originally four). The driver contains an ioctl(2) that can format a
tape with either one or two partitions.
Device /dev/tape is usually created as a hard or soft link
to the default tape device on the system.
Starting from kernel 2.6.2, the driver exports in the sysfs
directory /sys/class/scsi_tape the attached devices and some
parameters assigned to the devices.
The driver supports operation in both fixed-block mode and variable-block mode
(if supported by the drive). In fixed-block mode the drive writes blocks of
the specified size and the block size is not dependent on the byte counts of
the write system calls. In variable-block mode one tape block is written for
each write call and the byte count determines the size of the corresponding
tape block. Note that the blocks on the tape don't contain any information
about the writing mode: when reading, the only important thing is to use
commands that accept the block sizes on the tape.
In variable-block mode the read byte count does not have to match
the tape block size exactly. If the byte count is larger than the next block
on tape, the driver returns the data and the function returns the actual
block size. If the block size is larger than the byte count, an error is
returned.
In fixed-block mode the read byte counts can be arbitrary if
buffering is enabled, or a multiple of the tape block size if buffering is
disabled. Kernels before 2.1.121 allow writes with arbitrary byte count if
buffering is enabled. In all other cases (kernel before 2.1.121 with
buffering disabled or newer kernel) the write byte count must be a multiple
of the tape block size.
In the 2.6 kernel, the driver tries to use direct transfers
between the user buffer and the device. If this is not possible, the
driver's internal buffer is used. The reasons for not using direct transfers
include improper alignment of the user buffer (default is 512 bytes but this
can be changed by the HBA driver), one or more pages of the user buffer not
reachable by the SCSI adapter, and so on.
A filemark is automatically written to tape if the last tape
operation before close was a write.
When a filemark is encountered while reading, the following
happens. If there are data remaining in the buffer when the filemark is
found, the buffered data is returned. The next read returns zero bytes. The
following read returns data from the next file. The end of recorded data is
signaled by returning zero bytes for two consecutive read calls. The third
read returns an error.
The driver supports three ioctl(2) requests. Requests not recognized by
the st driver are passed to the SCSI driver. The definitions
below are from /usr/include/linux/mtio.h:
This request takes an argument of type (struct mtop *). Not all
drives support all operations. The driver returns an EIO error if the
drive rejects an operation.
/* Structure for MTIOCTOP - mag tape op command: */
struct mtop {
short mt_op; /* operations defined below */
int mt_count; /* how many of them */
};
Magnetic Tape operations for normal tape use:
- MTBSF
- Backward space over mt_count filemarks.
- MTBSFM
- Backward space over mt_count filemarks. Reposition the tape to the
EOT side of the last filemark.
- MTBSR
- Backward space over mt_count records (tape blocks).
- MTBSS
- Backward space over mt_count setmarks.
- MTCOMPRESSION
- Enable compression of tape data within the drive if mt_count is
nonzero and disable compression if mt_count is zero. This command
uses the MODE page 15 supported by most DATs.
- MTEOM
- Go to the end of the recorded media (for appending files).
- MTERASE
- Erase tape. With 2.6 kernel, short erase (mark tape empty) is performed if
the argument is zero. Otherwise, long erase (erase all) is done.
- MTFSF
- Forward space over mt_count filemarks.
- MTFSFM
- Forward space over mt_count filemarks. Reposition the tape to the
BOT side of the last filemark.
- MTFSR
- Forward space over mt_count records (tape blocks).
- MTFSS
- Forward space over mt_count setmarks.
- MTLOAD
- Execute the SCSI load command. A special case is available for some HP
autoloaders. If mt_count is the constant
MT_ST_HPLOADER_OFFSET plus a number, the number is sent to the
drive to control the autoloader.
- MTLOCK
- Lock the tape drive door.
- MTMKPART
- Format the tape into one or two partitions. If mt_count is
positive, it gives the size of partition 1 and partition 0 contains the
rest of the tape. If mt_count is zero, the tape is formatted into
one partition. From kernel version 4.6, a negative mt_count
specifies the size of partition 0 and the rest of the tape contains
partition 1. The physical ordering of partitions depends on the drive.
This command is not allowed for a drive unless the partition support is
enabled for the drive (see MT_ST_CAN_PARTITIONS below).
- MTNOP
- No op—flushes the driver's buffer as a side effect. Should be used
before reading status with MTIOCGET.
- MTOFFL
- Rewind and put the drive off line.
- MTRESET
- Reset drive.
- MTRETEN
- Re-tension tape.
- MTREW
- Rewind.
- MTSEEK
- Seek to the tape block number specified in mt_count. This operation
requires either a SCSI-2 drive that supports the LOCATE command
(device-specific address) or a Tandberg-compatible SCSI-1 drive (Tandberg,
Archive Viper, Wangtek, ...). The block number should be one that was
previously returned by MTIOCPOS if device-specific addresses are
used.
- MTSETBLK
- Set the drive's block length to the value specified in mt_count. A
block length of zero sets the drive to variable block size mode.
- MTSETDENSITY
- Set the tape density to the code in mt_count. The density codes
supported by a drive can be found from the drive documentation.
- MTSETPART
- The active partition is switched to mt_count. The partitions are
numbered from zero. This command is not allowed for a drive unless the
partition support is enabled for the drive (see
MT_ST_CAN_PARTITIONS below).
- MTUNLOAD
- Execute the SCSI unload command (does not eject the tape).
- MTUNLOCK
- Unlock the tape drive door.
- MTWEOF
- Write mt_count filemarks.
- MTWSM
- Write mt_count setmarks.
Magnetic Tape operations for setting of device options (by the
superuser):
- MTSETDRVBUFFER
- Set various drive and driver options according to bits encoded in
mt_count. These consist of the drive's buffering mode, a set of
Boolean driver options, the buffer write threshold, defaults for the block
size and density, and timeouts (only in kernels 2.1 and later). A single
operation can affect only one item in the list above (the Booleans counted
as one item.)
- A value having zeros in the high-order 4 bits will be used to set the
drive's buffering mode. The buffering modes are:
- 0
- The drive will not report GOOD status on write commands until the
data blocks are actually written to the medium.
- 1
- The drive may report GOOD status on write commands as soon as all
the data has been transferred to the drive's internal buffer.
- 2
- The drive may report GOOD status on write commands as soon as (a)
all the data has been transferred to the drive's internal buffer, and (b)
all buffered data from different initiators has been successfully written
to the medium.
- To control the write threshold the value in mt_count must include
the constant MT_ST_WRITE_THRESHOLD bitwise ORed with a block count
in the low 28 bits. The block count refers to 1024-byte blocks, not the
physical block size on the tape. The threshold cannot exceed the driver's
internal buffer size (see DESCRIPTION, above).
- To set and clear the Boolean options the value in mt_count must
include one of the constants MT_ST_BOOLEANS,
MT_ST_SETBOOLEANS, MT_ST_CLEARBOOLEANS, or
MT_ST_DEFBOOLEANS bitwise ORed with whatever combination of the
following options is desired. Using MT_ST_BOOLEANS the options can
be set to the values defined in the corresponding bits. With
MT_ST_SETBOOLEANS the options can be selectively set and with
MT_ST_DEFBOOLEANS selectively cleared.
-
- The default options for a tape device are set with
MT_ST_DEFBOOLEANS. A nonactive tape device (e.g., device with minor
32 or 160) is activated when the default options for it are defined the
first time. An activated device inherits from the device activated at
start-up the options not set explicitly.
-
- The Boolean options are:
- MT_ST_BUFFER_WRITES (Default: true)
- Buffer all write operations in fixed-block mode. If this option is false
and the drive uses a fixed block size, then all write operations must be
for a multiple of the block size. This option must be set false to write
reliable multivolume archives.
- MT_ST_ASYNC_WRITES (Default: true)
- When this option is true, write operations return immediately without
waiting for the data to be transferred to the drive if the data fits into
the driver's buffer. The write threshold determines how full the buffer
must be before a new SCSI write command is issued. Any errors reported by
the drive will be held until the next operation. This option must be set
false to write reliable multivolume archives.
- MT_ST_READ_AHEAD (Default: true)
- This option causes the driver to provide read buffering and read-ahead in
fixed-block mode. If this option is false and the drive uses a fixed block
size, then all read operations must be for a multiple of the block
size.
- MT_ST_TWO_FM (Default: false)
- This option modifies the driver behavior when a file is closed. The normal
action is to write a single filemark. If the option is true, the driver
will write two filemarks and backspace over the second one.
- Note: This option should not be set true for QIC tape drives since they
are unable to overwrite a filemark. These drives detect the end of
recorded data by testing for blank tape rather than two consecutive
filemarks. Most other current drives also detect the end of recorded data
and using two filemarks is usually necessary only when interchanging tapes
with some other systems.
- MT_ST_DEBUGGING (Default: false)
- This option turns on various debugging messages from the driver (effective
only if the driver was compiled with DEBUG defined nonzero).
- MT_ST_FAST_EOM (Default: false)
- This option causes the MTEOM operation to be sent directly to the
drive, potentially speeding up the operation but causing the driver to
lose track of the current file number normally returned by the
MTIOCGET request. If MT_ST_FAST_EOM is false, the driver
will respond to an MTEOM request by forward spacing over
files.
- MT_ST_AUTO_LOCK (Default: false)
- When this option is true, the drive door is locked when the device is
opened and unlocked when it is closed.
- MT_ST_DEF_WRITES (Default: false)
- The tape options (block size, mode, compression, etc.) may change when
changing from one device linked to a drive to another device linked to the
same drive depending on how the devices are defined. This option defines
when the changes are enforced by the driver using SCSI-commands and when
the drives auto-detection capabilities are relied upon. If this option is
false, the driver sends the SCSI-commands immediately when the device is
changed. If the option is true, the SCSI-commands are not sent until a
write is requested. In this case, the drive firmware is allowed to detect
the tape structure when reading and the SCSI-commands are used only to
make sure that a tape is written according to the correct
specification.
- MT_ST_CAN_BSR (Default: false)
- When read-ahead is used, the tape must sometimes be spaced backward to the
correct position when the device is closed and the SCSI command to space
backward over records is used for this purpose. Some older drives can't
process this command reliably and this option can be used to instruct the
driver not to use the command. The end result is that, with read-ahead and
fixed-block mode, the tape may not be correctly positioned within a file
when the device is closed. With 2.6 kernel, the default is true for drives
supporting SCSI-3.
- MT_ST_NO_BLKLIMS (Default: false)
- Some drives don't accept the READ BLOCK LIMITS SCSI command. If
this is used, the driver does not use the command. The drawback is that
the driver can't check before sending commands if the selected block size
is acceptable to the drive.
- MT_ST_CAN_PARTITIONS (Default: false)
- This option enables support for several partitions within a tape. The
option applies to all devices linked to a drive.
- MT_ST_SCSI2LOGICAL (Default: false)
- This option instructs the driver to use the logical block addresses
defined in the SCSI-2 standard when performing the seek and tell
operations (both with MTSEEK and MTIOCPOS commands and when
changing tape partition). Otherwise, the device-specific addresses are
used. It is highly advisable to set this option if the drive supports the
logical addresses because they count also filemarks. There are some drives
that support only the logical block addresses.
- MT_ST_SYSV (Default: false)
- When this option is enabled, the tape devices use the SystemV semantics.
Otherwise, the BSD semantics are used. The most important difference
between the semantics is what happens when a device used for reading is
closed: in System V semantics the tape is spaced forward past the next
filemark if this has not happened while using the device. In BSD semantics
the tape position is not changed.
- MT_NO_WAIT (Default: false)
- Enables immediate mode (i.e., don't wait for the command to finish) for
some commands (e.g., rewind).
An example:
struct mtop mt_cmd;
mt_cmd.mt_op = MTSETDRVBUFFER;
mt_cmd.mt_count = MT_ST_BOOLEANS |
MT_ST_BUFFER_WRITES | MT_ST_ASYNC_WRITES;
ioctl(fd, MTIOCTOP, mt_cmd);
-
- The default block size for a device can be set with
MT_ST_DEF_BLKSIZE and the default density code can be set with
MT_ST_DEFDENSITY. The values for the parameters are or'ed with the
operation code.
-
- With kernels 2.1.x and later, the timeout values can be set with the
subcommand MT_ST_SET_TIMEOUT ORed with the timeout in seconds. The
long timeout (used for rewinds and other commands that may take a long
time) can be set with MT_ST_SET_LONG_TIMEOUT. The kernel defaults
are very long to make sure that a successful command is not timed out with
any drive. Because of this, the driver may seem stuck even if it is only
waiting for the timeout. These commands can be used to set more practical
values for a specific drive. The timeouts set for one device apply for all
devices linked to the same drive.
-
- Starting from kernels 2.4.19 and 2.5.43, the driver supports a status bit
which indicates whether the drive requests cleaning. The method used by
the drive to return cleaning information is set using the
MT_ST_SEL_CLN subcommand. If the value is zero, the cleaning bit is
always zero. If the value is one, the TapeAlert data defined in the SCSI-3
standard is used (not yet implemented). Values 2–17 are reserved.
If the lowest eight bits are >= 18, bits from the extended sense data
are used. The bits 9–16 specify a mask to select the bits to look
at and the bits 17–23 specify the bit pattern to look for. If the
bit pattern is zero, one or more bits under the mask indicate the cleaning
request. If the pattern is nonzero, the pattern must match the masked
sense data byte.
This request takes an argument of type (struct mtget *).
/* structure for MTIOCGET - mag tape get status command */
struct mtget {
long mt_type;
long mt_resid;
/* the following registers are device dependent */
long mt_dsreg;
long mt_gstat;
long mt_erreg;
/* The next two fields are not always used */
daddr_t mt_fileno;
daddr_t mt_blkno;
};
- mt_type
- The header file defines many values for mt_type, but the current
driver reports only the generic types MT_ISSCSI1 (Generic SCSI-1
tape) and MT_ISSCSI2 (Generic SCSI-2 tape).
- mt_resid
- contains the current tape partition number.
- mt_dsreg
- reports the drive's current settings for block size (in the low 24 bits)
and density (in the high 8 bits). These fields are defined by
MT_ST_BLKSIZE_SHIFT, MT_ST_BLKSIZE_MASK,
MT_ST_DENSITY_SHIFT, and MT_ST_DENSITY_MASK.
- mt_gstat
- reports generic (device independent) status information. The header file
defines macros for testing these status bits:
GMT_EOF(x): The tape is positioned just after a
filemark (always false after an MTSEEK operation).
GMT_BOT(x): The tape is positioned at the
beginning of the first file (always false after an MTSEEK
operation).
GMT_EOT(x): A tape operation has reached the
physical End Of Tape.
GMT_SM(x): The tape is currently positioned at a
setmark (always false after an MTSEEK operation).
GMT_EOD(x): The tape is positioned at the end of
recorded data.
GMT_WR_PROT(x): The drive is write-protected. For
some drives this can also mean that the drive does not support writing on
the current medium type.
GMT_ONLINE(x): The last open(2) found the
drive with a tape in place and ready for operation.
GMT_D_6250(x), GMT_D_1600(x),
GMT_D_800(x): This “generic” status information
reports the current density setting for 9-track ½" tape drives
only.
GMT_DR_OPEN(x): The drive does not have a tape in
place.
GMT_IM_REP_EN(x): Immediate report mode. This bit
is set if there are no guarantees that the data has been physically written
to the tape when the write call returns. It is set zero only when the driver
does not buffer data and the drive is set not to buffer data.
GMT_CLN(x): The drive has requested cleaning.
Implemented in kernels since 2.4.19 and 2.5.43.
- mt_erreg
- The only field defined in mt_erreg is the recovered error count in
the low 16 bits (as defined by MT_ST_SOFTERR_SHIFT and
MT_ST_SOFTERR_MASK. Due to inconsistencies in the way drives report
recovered errors, this count is often not maintained (most drives do not
by default report soft errors but this can be changed with a SCSI MODE
SELECT command).
- mt_fileno
- reports the current file number (zero-based). This value is set to -1 when
the file number is unknown (e.g., after MTBSS or
MTSEEK).
- mt_blkno
- reports the block number (zero-based) within the current file. This value
is set to -1 when the block number is unknown (e.g., after MTBSF,
MTBSS, or MTSEEK).
This request takes an argument of type (struct mtpos *) and
reports the drive's notion of the current tape block number, which is not the
same as mt_blkno returned by MTIOCGET. This drive must be a
SCSI-2 drive that supports the READ POSITION command (device-specific
address) or a Tandberg-compatible SCSI-1 drive (Tandberg, Archive Viper,
Wangtek, ... ).
/* structure for MTIOCPOS - mag tape get position command */
struct mtpos {
long mt_blkno; /* current block number */
};


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