| DOSE: |
|
insufflated |
Heroin |
(liquid) |
For the last 4 months, my partner and I have been recreationally using heroin. This would not be a problem if it were not for the intense pull that H creates in our life - it wants us, we can tell.
It all started when a friend offered me some in a club. I had tried the stuff before, shot it actually, and hated it. But this time I was curious. It didn't seem like a club drug, but I needed something new. I've always loved drugs (loved being an understatement) , coke, E, scripts and the like, but was bored with all of them. So being bored and being crazy I asked her how she did it in a club, weren't there needles and all to contend with? This is where it gets interesting.
Turns out she dissolved the H in water and then snorted the vinegary liquid. (I have never heard of anyone else doing this, despite my searches online) She gave me my own clean syringe filled with the tiniest bit (about 20 cc) of amber colored stuff and told me to lay it on the inside of my nose and squirt while inhaling. So I did just that (I had to fake bravado) and was rewarded with the most amazing rush of warmth and light headedness. All I could muster up to say was 'I like this', but in my heart I knew I had found my new love. I knew because along with the warmth I felt something I had never before felt with any other drug - LUST. Twenty minutes later I was puking my guts out in the jane ('oh, I forgot to tell you about that' says my cohort) but still completely loving it. She told me if I did more I'd feel better. I declined.
Skip ahead to me bringing a small sticky ball home to my girlfriend. I have to say, I was so nervous introducing her to my new friend. I wanted her to be safe, I wanted her have a good time, but mostly, I needed to share the intensity of my love for this drug with someone.. someone I could fuck. Of course she loved it, and soon H became our weekend ritual.  Each time we did it we got closer to each other. And each time we did it, we wanted to do it again, and again.
We have constructed many a boundary around our strange nighttime ritual, me more than my girlfriend since I tend to feel more guilty about these kinds of things (i.e. fun things). We tried saying we'd only do it once every two weeks, but that lasted 6 days. We have rules about how much we do in one night, how late we stay up and so on. So far the rules have kept us safe from addiction. Unless you consider the nagging i-donít-wanna-go-a-weekend-or-have-sex-without-it feelings.
I've worked plenty long as a substance abuse counselor to know precisely how to construct this madness. Just how to be on the edge of danger without going over and I honestly have no fear about becoming addicted (add laughs here). I donít have an addictive personality and Iím much too focused on other things (when Iím not high). Donít get me wrong, I love drugs, just not that much. Problem is, the thing I love more than drugs is sex.  Is it ruined? What if I never have sex this good sober?
In the meantime, my partner and I ponder these questions in a candle lit room over the splayed out tarot cards, the soft shag blanket and a tiny vial of amber colored liquid.
Weíve never run out, although, once we were down to our last little bit and I left the vial open on the night stand. I was reaching for the lube when I heard the most sickening sound, the vial falling over. Turns out, I was mistaken, I had remembered to put the cap back on. But in those few seconds of uncertainty, my girl and I shot each other a look we had never seen before..
Fear.
Hereís the dosing info on all that (now I donít got the lingo, but iíll do my best)
My partner and I usually cook 1/3 of a ball of tar with about 2 mL of water. We use either a syringe or a tiny dropper (like that used in Bachís rescue remedy tincture) to squirt the liquid into our noses while inhaling. It burns, but not terrible. We do about 1 squirt (10-20 cc) each hour or so. We feel it right away if weíve done it right but not so as to feel overwhelmed. Each packíoígoo is different- so we do small amounts to start!
So far weíve mixed the stuff with alcohol, GHB and coke.
Alcohol- often makes us nauseous, but can be fun in small amounts.
Coke- I like it, it can definitely wake me up when the H starts to make me sleepy. I prefer not to do it too late in the game, it makes me jittery and I can't sleep as well.
GHB- in very small amounts (sorry, Iím no help here, mine comes in liquid when I get it) it boosts the feeling of the H. Can make me a bit nauseous.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


- Objdetect - Class in org.opencv.objdetect
-
- Objdetect() - Constructor for class org.opencv.objdetect.Objdetect
-
- octave - Variable in class org.opencv.features2d.KeyPoint
-
Octave (pyramid layer), from which the keypoint has been extracted.
- onActivityCreated(Bundle) - Method in class br.com.indirim.quickphoto.NavigationDrawerFragment
-
- onActivityResult(int, int, Intent) - Method in class br.com.indirim.quickphoto.MainActivity
-
- onAttach(Activity) - Method in class br.com.indirim.quickphoto.NavigationDrawerFragment
-
- onAttach(Activity) - Method in class br.com.indirim.quickphoto.PreviewPhotoFragment
-
- onCameraFrame(Mat) - Method in interface org.opencv.android.CameraBridgeViewBase.CvCameraViewListener
-
This method is invoked when delivery of the frame needs to be done.
- onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame) - Method in interface org.opencv.android.CameraBridgeViewBase.CvCameraViewListener2
-
This method is invoked when delivery of the frame needs to be done.
- onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame) - Method in class org.opencv.android.CameraBridgeViewBase.CvCameraViewListenerAdapter
-
- onCameraViewStarted(int, int) - Method in interface org.opencv.android.CameraBridgeViewBase.CvCameraViewListener
-
This method is invoked when camera preview has started.
- onCameraViewStarted(int, int) - Method in interface org.opencv.android.CameraBridgeViewBase.CvCameraViewListener2
-
This method is invoked when camera preview has started.
- onCameraViewStarted(int, int) - Method in class org.opencv.android.CameraBridgeViewBase.CvCameraViewListenerAdapter
-
- onCameraViewStopped() - Method in interface org.opencv.android.CameraBridgeViewBase.CvCameraViewListener
-
This method is invoked when camera preview has been stopped for some reason.
- onCameraViewStopped() - Method in interface org.opencv.android.CameraBridgeViewBase.CvCameraViewListener2
-
This method is invoked when camera preview has been stopped for some reason.
- onCameraViewStopped() - Method in class org.opencv.android.CameraBridgeViewBase.CvCameraViewListenerAdapter
-
- onClick(View) - Method in class br.com.indirim.quickphoto.CameraFragment
-
Called when a view has been clicked.
- onConfigurationChanged(Configuration) - Method in class br.com.indirim.quickphoto.NavigationDrawerFragment
-
- onCreate(Bundle) - Method in class br.com.indirim.quickphoto.AboutActivity
-
- onCreate(Bundle) - Method in class br.com.indirim.quickphoto.AboutPagerFragment
-
- onCreate(Bundle) - Method in class br.com.indirim.quickphoto.CameraActivity
-
- onCreate(Bundle) - Method in class br.com.indirim.quickphoto.MainActivity
-
- onCreate(Bundle) - Method in class br.com.indirim.quickphoto.NavigationDrawerFragment
-
- onCreate(Bundle) - Method in class br.com.indirim.quickphoto.SettingsActivity
-
- onCreate(Bundle) - Method in class br.com.indirim.quickphoto.TutorialActivity
-
- onCreate(Bundle) - Method in class br.com.indirim.quickphoto.TutorialPagerFragment
-
- onCreateOptionsMenu(Menu) - Method in class br.com.indirim.quickphoto.MainActivity
-
- onCreateOptionsMenu(Menu, MenuInflater) - Method in class br.com.indirim.quickphoto.NavigationDrawerFragment
-
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class br.com.indirim.quickphoto.AboutPagerFragment
-
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class br.com.indirim.quickphoto.CameraFragment
-
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class br.com.indirim.quickphoto.NavigationDrawerFragment
-
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class br.com.indirim.quickphoto.PreviewPhotoFragment
-
- onCreateView(LayoutInflater, ViewGroup, Bundle) - Method in class br.com.indirim.quickphoto.TutorialPagerFragment
-
- onDestroy() - Method in class br.com.indirim.quickphoto.CameraFragment
-
- onDetach() - Method in class br.com.indirim.quickphoto.NavigationDrawerFragment
-
- ONE_CLASS - Static variable in class org.opencv.ml.CvSVM
-
- ones(int, int, int) - Static method in class org.opencv.core.Mat
-
Returns an array of all 1's of the specified size and type.
- ones(Size, int) - Static method in class org.opencv.core.Mat
-
Returns an array of all 1's of the specified size and type.
- ONEWAY - Static variable in class org.opencv.features2d.GenericDescriptorMatcher
-
- onManagerConnected(int) - Method in class org.opencv.android.BaseLoaderCallback
-
- onManagerConnected(int) - Method in interface org.opencv.android.LoaderCallbackInterface
-
Callback method, called after OpenCV library initialization.
- onNavigationDrawerItemSelected(int) - Method in class br.com.indirim.quickphoto.MainActivity
-
- onNavigationDrawerItemSelected(int) - Method in interface br.com.indirim.quickphoto.NavigationDrawerFragment.NavigationDrawerCallbacks
-
Called when an item in the navigation drawer is selected.
- onOptionsItemSelected(MenuItem) - Method in class br.com.indirim.quickphoto.NavigationDrawerFragment
-
- onOptionsItemSelected(MenuItem) - Method in class br.com.indirim.quickphoto.SettingsActivity
-
- onPackageInstall(int, InstallCallbackInterface) - Method in class org.opencv.android.BaseLoaderCallback
-
- onPackageInstall(int, InstallCallbackInterface) - Method in interface org.opencv.android.LoaderCallbackInterface
-
Callback method, called in case the package installation is needed.
- onPause() - Method in class br.com.indirim.quickphoto.CameraFragment
-
- onPostCreate(Bundle) - Method in class br.com.indirim.quickphoto.SettingsActivity
-
- onPreviewFrame(byte[], Camera) - Method in class org.opencv.android.JavaCameraView
-
- onResume() - Method in class br.com.indirim.quickphoto.CameraFragment
-
- onSaveInstanceState(Bundle) - Method in class br.com.indirim.quickphoto.NavigationDrawerFragment
-
- onViewCreated(View, Bundle) - Method in class br.com.indirim.quickphoto.CameraFragment
-
- onViewCreated(View, Bundle) - Method in class br.com.indirim.quickphoto.PreviewPhotoFragment
-
- onVisibilityChange(boolean) - Method in interface br.com.indirim.quickphoto.util.SystemUiHider.OnVisibilityChangeListener
-
Called when the system UI visibility has changed.
- open(int) - Method in class org.opencv.highgui.VideoCapture
-
Open video file or a capturing device for video capturing
The methods first call "VideoCapture.release" to close the already opened
file or camera.
- OPENCV_VERSION_2_4_10 - Static variable in class org.opencv.android.OpenCVLoader
-
OpenCV Library version 2.4.10.
- OPENCV_VERSION_2_4_2 - Static variable in class org.opencv.android.OpenCVLoader
-
OpenCV Library version 2.4.2.
- OPENCV_VERSION_2_4_3 - Static variable in class org.opencv.android.OpenCVLoader
-
OpenCV Library version 2.4.3.
- OPENCV_VERSION_2_4_4 - Static variable in class org.opencv.android.OpenCVLoader
-
OpenCV Library version 2.4.4.
- OPENCV_VERSION_2_4_5 - Static variable in class org.opencv.android.OpenCVLoader
-
OpenCV Library version 2.4.5.
- OPENCV_VERSION_2_4_6 - Static variable in class org.opencv.android.OpenCVLoader
-
OpenCV Library version 2.4.6.
- OPENCV_VERSION_2_4_7 - Static variable in class org.opencv.android.OpenCVLoader
-
OpenCV Library version 2.4.7.
- OPENCV_VERSION_2_4_8 - Static variable in class org.opencv.android.OpenCVLoader
-
OpenCV Library version 2.4.8.
- OPENCV_VERSION_2_4_9 - Static variable in class org.opencv.android.OpenCVLoader
-
OpenCV Library version 2.4.9.
- OpenCVLoader - Class in org.opencv.android
-
Helper class provides common initialization methods for OpenCV library.
- OpenCVLoader() - Constructor for class org.opencv.android.OpenCVLoader
-
- OpenCvSizeAccessor() - Constructor for class org.opencv.android.NativeCameraView.OpenCvSizeAccessor
-
- OPPONENT_BRIEF - Static variable in class org.opencv.features2d.DescriptorExtractor
-
- OPPONENT_BRISK - Static variable in class org.opencv.features2d.DescriptorExtractor
-
- OPPONENT_FREAK - Static variable in class org.opencv.features2d.DescriptorExtractor
-
- OPPONENT_ORB - Static variable in class org.opencv.features2d.DescriptorExtractor
-
- OPPONENT_SIFT - Static variable in class org.opencv.features2d.DescriptorExtractor
-
- OPPONENT_SURF - Static variable in class org.opencv.features2d.DescriptorExtractor
-
- OPTFLOW_FARNEBACK_GAUSSIAN - Static variable in class org.opencv.video.Video
-
- OPTFLOW_LK_GET_MIN_EIGENVALS - Static variable in class org.opencv.video.Video
-
- OPTFLOW_USE_INITIAL_FLOW - Static variable in class org.opencv.video.Video
-
- ORB - Static variable in class org.opencv.features2d.DescriptorExtractor
-
- ORB - Static variable in class org.opencv.features2d.FeatureDetector
-
- org.opencv.android - package org.opencv.android
-
- org.opencv.calib3d - package org.opencv.calib3d
-
- org.opencv.contrib - package org.opencv.contrib
-
- org.opencv.core - package org.opencv.core
-
- org.opencv.features2d - package org.opencv.features2d
-
- org.opencv.gpu - package org.opencv.gpu
-
- org.opencv.highgui - package org.opencv.highgui
-
- org.opencv.imgproc - package org.opencv.imgproc
-
- org.opencv.ml - package org.opencv.ml
-
- org.opencv.objdetect - package org.opencv.objdetect
-
- org.opencv.photo - package org.opencv.photo
-
- org.opencv.utils - package org.opencv.utils
-
- org.opencv.video - package org.opencv.video
-
- overlapAnchor - Static variable in class br.com.indirim.quickphoto.R.attr
-
Must be a boolean value, either "true
" or "false
".


Reports mismatches between light service levels and constructors.
The following problems are reported:
- A light service class has a constructor with one parameter of type
com.intellij.openapi.project.Project
is
not annotated as project-level service.
- A light service class annotated as an application-level service does not have a no-arg constructor, nor a constructor with one
parameter of type
kotlinx.coroutines.CoroutineScope
.
New in 2023.2


Empower your sales staff with the tools to provide accurate and smart estimates and equip your sales managers with the information to manage their team. Seamlessly connect the office and the field with both mobile and desktop experiences, electronic presentations and contracts, and built-in auto-updating AHRI data.
Ever had a salesperson throw in an accessory for free in order to get a sale but expect full commission for selling the equipment at book price? Compass solves this by creating a parts list for each job based on what was sold.
Ever had a customer call into the office and discuss a contractual matter and you can't locate the paperwork? Compass takes care of this by storing an electronic copy of every sales presentation and contract created by the salesperson.
Ever had your installer call back into the office and tell you that the new equipment doesn't fit? Compass takes care of this by providing the salesperson with the exact height, width, and depth measurements on any equipment solutions that they are proposing for the customer.
Ever have a salesperson promise a customer that you can install the new equipment tomorrow without first checking with the installation manager? Compass takes care of this by requiring the salesperson to record the installation confirmation number in the system. Without the confirmation number, the installation date cannot be promised to the customer.
Ever have to send another employee to the installation site with a part that was needed to complete the job? Compass takes care of this by providing an exhaustive checklist of information that the salesperson will fill out to ensure that all necessary parts are ordered and taken to the job site by the installers.
 Compass solves this by keeping track of all the information for every sales lead within your company. The Sales Manager portal allows for real-time access to all sales lead details.


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|||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
See:
Description
| Class Summary | |
|---|---|
| Feature | A feature stores one or more locations, its type, and additional data properties. |
| GeoDataReader | A common GeoDataReader to parse geo-spatial data files and create Features. |
| GeoJSONReader | Reads GeoJSON files and creates Features. |
| GeoRSSReader | Reads GeoRSS files and creates Features. |
| GPXReader | Experimental GPX reader with just a very basic functionality. |
| MarkerFactory | A factory to create markers from features. |
| MultiFeature | A feature consisting of multiple features. |
| PointFeature | Stores a single location. |
| ShapeFeature | Stores a list of locations. |
| Enum Summary | |
|---|---|
| Feature.FeatureType |
All data handling, including various Feature classes for storing geo-spatial data, and GeoDataReader to parse different source files (GeoRSS, GeoJSON, etc).
Features can be used to automatically or manually create Markers
as visual representations.
|
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PUPC 2015 Winning Teams |
||
| Recognition Type | Team Name | Country |
| Gold Medalists | Totally Worth It Prometheus |
Romania China |
| Silver Medalist | Minions of Darkness | Romania |
| Bronze Medalists | Neko The Slinky Voyage Waffles Death Blue Team Rocket |
United States Kuwait China Singapore China Singapore |
| Honorable Mention | Tachyon Pythagoras' Cat Helium Fast and Furious Turtles RJ ξ StringedEisteddfod BHSFers |
Korea China United States United States Singapore China China |
| Creative Solution | Voyage Pythagoras' Cat RJ ξ |
China China Singapore |


Summary: A simple pwn/binary exploitation challenge requiring basic knowledge of return oriented programming along with minimal reverse engineering experience and basic python scripting skills.
Starting off we are presented with a standard ELF file, which when we run asks us for a number of 0 to 10, then exits once our input is passed.
Analysing the assembly code of this binary using radare2 we notice that the gets function is used to take our input, this function is vulnerable to buffer overflows!
Using GDB-peda we run the binary with an input of 100 NOPs to see if we can crash the program flow and/or spill our input into a register or the stack. As we can see we were able to spill our input into the stack pointer (allowing us possible control of the program) and we also filled the stack with our input!
Now we have a better idea of the type of vulnerability we are dealing with, we use the pwn Python library to analyse the security of the binary. As we can see NX (No eXecution) along with ASLR (Address Space Layout Randomisation) are enabled which means we cannot execute our own code on the stack and the addresses of the stack, heap and shared libraries will be randomised during runtime.
It is possible to circumvent ASLR by disabling it manually, we simply echo the number 0 into randomize_va_space as demonstrated below.
With the security analysis out of the way we can now move onto developing our exploit! With ASLR now disabled we can use some of the functions in libc to pull off a ret2libc attack! First we load the binary in GDB, set a breakpoint and run it. Next we print the address of the system function in libc (the address we want to return to) and we also search for the address of '/bin/sh' which can also be found in libc.
Next we will search the binary for a gadget we can use to copy the address of '/bin/sh' to register RDI. For this we will use a tool called ropper as seen below.
With our attack mapped out we just need to write a simple python script that will use each address we have chose to construct our payload, and finally launch the binary in GDB using our payload as input!
As you can see, in the screenshots below, stepping through the program flow in GDB shows us the exact point our gadget is pushed onto the stack, the program returning to the system function in libc and finally we can see the binary executing '/bin/dash' before ceasing execution!
Running the binary outside of GDB, whilst piping our payload into it as an argument, we can see that we have successfully popped a root shell, Awesome! The only problem is this method didn't work remotely, most likely because ASLR is enabled on the remote server hosting the challenge meaning we are using an incorrect address for the system function in libc. So where do we go from here?
With little else to go off I decided to take a look at the disassembled binary using objdump and sure enough found an unused function which tries tries to open the flag file... F###!!! (Ò 皿 Ó ╬) Always be sure to look through every single function guys!
As you can see from the GDB output below, when we pass our junk data (10 'A' chars) anything passed after that will overwrite the register RIP which as we know holds the return address!
Therefore all we need to do is take the code we wrote earlier and edit it to remove the shell string, the system address as well as our gadget, and simply add the address of super_secret_function to our payload buffer. The script is available on my Github or you can copy the code in the screenshot below.
All that's left to do is test our payload! As you can see it doesn't work locally as we do not have the flag file, but when we send our input to the remote machine it prints the flag for us!
Moral of the story? Always run objdump first! (˃̥̥ω˂̥̥̥)


Profile
Blog
Sudoku game
Photos
Favourite Quotes
My Anime Series/Movies
Being Different
Just click
Mediocre developer forgot to code right
Don't know, who is robot
Developer time pass
My work Desk
Nature from camera
Profile Picture
For instagram need something different
Office Fun
Timepass selfie
Hungry crew mates
Got bored, so clicked one
Still with ubuntu after one long year journey


Connecting...
PipeUp is a command line tool for piping to a webpage:
$ tail -f /var/log/nginx/access.log | pipeup
Piping to http://pipeup.io/tailnx
$ pip install pipeup
PipeUp is free to use up to 2,000 lines. If you need more, we'll be launching Pro accounts soon.
You can also host your own server.
| Free | Pro |
|---|---|
| 2,000 Lines | Unlimited Lines |
| Public Pipes | Public and Private Pipes |
| $0/month | $3/month |
Thanks for signing up! We'll be in touch shortly with more information
about Pro accounts. Meanwhile, get started with PipeUp by installing the client with pip:
$ pip install pipeup
Also, check out the client and server source on Github.


AMAZING PEOPLE ARE MAKING AMAZING DESIGNS IN A FUN ENVIRONMENT
When you work with us, you are a part of a team of committed collaborators. All aspects of our software develpoment process are intergrated, interactive
and agile.
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We start each project by understanding your business goals, the user's needs and the product requirements
Then we help translate them into effective and elegant solutions.
SERVICES
Before we sign up a contract or write a line of code our team will spend the necessary time needed to understand your product vision
The outcome of this scoping session is a proposal or high-level statement of work.
Based on your requirements, we can provide a complete offering or just pieces you need.
Design
Development
Product


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PWG April,
2008 F2F
Meeting
I. When/Where
The PWG F2F meeting will be held on April 16-18,
2008 in Phoenix AZ.
Meeting Venue Information:
The IEEE P2600 working group will be meeting at the same location on
April 14-15.
III. Detailed
Meeting
Agenda:
|
|
|
|
|
Meeting
Slides |
Meeting
Minutes |
|
Tues. 04/15 |
1:00 PM |
5:30 PM |
PDM (Breakout) |
|
|
|
Wed. 04/16 |
8:00 AM |
12:00 PM |
IDS (Imaging Device
Security) |
Slides and Agendas | Minutes |
|
|
12:00 PM |
1:30 PM |
Lunch |
|
|
|
|
1:30 PM |
5:30 PM |
PDM (Projector and Display
Management) |
Agenda |
|
|
|
|
|
|
|
|
| Thur. 04/17 |
8:00 AM |
12:00 PM |
IDS (session 2) |
||
|
12:00 PM |
1:30 PM |
Lunch |
|||
|
1:30 PM |
4:30 PM |
IPPv2 |
Slides | Minutes |
|
|
4:30 PM |
5:30 PM |
Plenary |
Slides | Minutes |
|
| Breakout |
8:00 AM |
4:30 PM |
PDM |
||
|
Fri. 04/18 |
8:00 AM |
12:00 PM |
MFD |
|
Minutes |
|
|
12:00 PM |
1:00 PM |
Lunch |
|
|
|
|
1:00 PM |
4:00 PM |
WIMS/CIM |
WIMS
Slides 1 WIMS Slides 2 |
Minutes |


Factory components that can be used to create either transaction managed or normal data sources by means of a factory
configuration in CM. To automatically construct a data source:
- Create a configuration with service.factoryPid set to "datasource" (for normal data sources) or "XAdatasource" for
transaction managed data source
- Set the properties for this data source via normal settings. The properties should be looked up in the source, but
for clarity some are given:
jdbc.url, jdbc.driver, jdbc.user, jdbc.password
. The various settings for the JDBC connection.
pool.idle.min, pool.idle.max, pool.active.max, pool.wait
. The pool parameters.
validation.query, validation.timeout
. The validation query and query time-out
Requires an OSGi SCR.


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Session: 2018/2019
Date: 20/11/2019
First Name:
John
Last Name:
Doe
JAMB reg. no.:
36005454KG
JAMB score
256
Secondary school
Edosa High School, Benin
Year of graduation
2013


postgres is the PostgreSQL database server. In order for a client application to access a database it connects (over a network or locally) to a running postgres instance. The postgres instance then starts a separate server process to handle the connection.
One postgres instance always manages the data of exactly one database cluster. A database cluster is a collection of databases that is stored at a common file system location (the "data area"). More than one postgres instance can run on a system at one time, so long as they use different data areas and different communication ports (see below). When postgres starts it needs to know the location of the data area. The location must be specified by the -D option or the PGDATA environment variable; there is no default. Typically, -D or PGDATA points directly to the data area directory created by initdb. Other possible file layouts are discussed in Section 18.2.
By default postgres starts in the foreground and prints log messages to the standard error stream. In practical applications postgres should be started as a background process, perhaps at boot time.
The postgres command can also be called in single-user mode. The primary use for this mode is during bootstrapping by initdb. Sometimes it is used for debugging or disaster recovery (but note that running a single-user server is not truly suitable for debugging the server, since no realistic interprocess communication and locking will happen). When invoked in single-user mode from the shell, the user can enter queries and the results will be printed to the screen, but in a form that is more useful for developers than end users. In the single-user mode, the session user will be set to the user with ID 1, and implicit superuser powers are granted to this user. This user does not actually have to exist, so the single-user mode can be used to manually recover from certain kinds of accidental damage to the system catalogs.
postgres accepts the following command-line arguments. For a detailed discussion of the options consult Chapter 18. You can save typing most of these options by setting up a configuration file. Some (safe) options can also be set from the connecting client in an application-dependent way to apply only for that session. For example, if the environment variable PGOPTIONS is set, then libpq-based clients will pass that string to the server, which will interpret it as postgres command-line options.
Enables run-time assertion checks, which is a debugging aid to detect programming mistakes. This option is only available if assertions were enabled when PostgreSQL was compiled. If so, the default is on.
Sets the number of shared buffers for use by the server processes. The default value of this parameter is chosen automatically by initdb. Specifying this option is equivalent to setting the shared_buffers configuration parameter.
Sets a named run-time parameter. The configuration parameters supported by PostgreSQL are described in Chapter 18. Most of the other command line options are in fact short forms of such a parameter assignment. -c can appear multiple times to set multiple parameters.
Sets the debug level. The higher this value is set, the more debugging output is written to the server log. Values are from 1 to 5. It is also possible to pass -d 0 for a specific session, which will prevent the server log level of the parent postgres process from being propagated to this session.
Specifies the file system location of the data directory or configuration file(s). See Section 18.2 for details.
Sets the default date style to "European", that is DMY ordering of input date fields. This also causes the day to be printed before the month in certain date output formats. See Section 8.5 for more information.
Disables fsync
calls for improved
performance, at the risk of data corruption in the event of a
system crash. Specifying this option is equivalent to
disabling the fsync configuration
parameter. Read the detailed documentation before using this!
Specifies the IP host name or address on which postgres is to listen for TCP/IP connections from client applications. The value can also be a comma-separated list of addresses, or * to specify listening on all available interfaces. An empty value specifies not listening on any IP addresses, in which case only Unix-domain sockets can be used to connect to the server. Defaults to listening only on localhost. Specifying this option is equivalent to setting the listen_addresses configuration parameter.
Allows remote clients to connect via TCP/IP (Internet domain) connections. Without this option, only local connections are accepted. This option is equivalent to setting listen_addresses to * in postgresql.conf or via -h.
This option is deprecated since it does not allow access to the full functionality of listen_addresses. It's usually better to set listen_addresses directly.
Specifies the directory of the Unix-domain socket on which postgres is to listen for connections from client applications. The default is normally /tmp, but can be changed at build time.
Enables secure connections using SSL. PostgreSQL must have been compiled with support for SSL for this option to be available. For more information on using SSL, refer to Section 17.8.
Sets the maximum number of client connections that this server will accept. The default value of this parameter is chosen automatically by initdb. Specifying this option is equivalent to setting the max_connections configuration parameter.
The command-line-style options specified in extra-options are passed to all server processes started by this postgres process. If the option string contains any spaces, the entire string must be quoted.
The use of this option is obsolete; all command-line options for server processes can be specified directly on the postgres command line.
Specifies the TCP/IP port or local Unix domain socket file extension on which postgres is to listen for connections from client applications. Defaults to the value of the PGPORT environment variable, or if PGPORT is not set, then defaults to the value established during compilation (normally 5432). If you specify a port other than the default port, then all client applications must specify the same port using either command-line options or PGPORT.
Print time information and other statistics at the end of each command. This is useful for benchmarking or for use in tuning the number of buffers.
Specifies the amount of memory to be used by internal sorts and hashes before resorting to temporary disk files. See the description of the work_mem configuration parameter in Section 18.4.1.
Sets a named run-time parameter; a shorter form of -c.
This option dumps out the server's internal configuration variables, descriptions, and defaults in tab-delimited COPY format. It is designed primarily for use by administration tools.
The options described here are used mainly for debugging purposes, and in some cases to assist with recovery of severely damaged databases. There should be no reason to use them in a production database setup. They are listed here only for use by PostgreSQL system developers. Furthermore, these options might change or be removed in a future release without notice.
Forbids the use of particular scan and join methods: s and i disable sequential and index scans respectively, while n, m, and h disable nested-loop, merge and hash joins respectively.
Neither sequential scans nor nested-loop joins can be disabled completely; the -fs and -fn options simply discourage the optimizer from using those plan types if it has any other alternative.
This option is for debugging problems that cause a server process to die abnormally. The ordinary strategy in this situation is to notify all other server processes that they must terminate and then reinitialize the shared memory and semaphores. This is because an errant server process could have corrupted some shared state before terminating. This option specifies that postgres will not reinitialize shared data structures. A knowledgeable system programmer can then use a debugger to examine shared memory and semaphore state.
Allows the structure of system tables to be modified. This is used by initdb.
Ignore system indexes when reading system tables (but still update the indexes when modifying the tables). This is useful when recovering from damaged system indexes.
Print timing statistics for each query relating to each of the major system modules. This option cannot be used together with the -s option.
This option is for debugging problems that cause a server process to die abnormally. The ordinary strategy in this situation is to notify all other server processes that they must terminate and then reinitialize the shared memory and semaphores. This is because an errant server process could have corrupted some shared state before terminating. This option specifies that postgres will stop all other server processes by sending the signal SIGSTOP, but will not cause them to terminate. This permits system programmers to collect core dumps from all server processes by hand.
Specifies the version number of the frontend/backend protocol to be used for a particular session. This option is for internal use only.
A delay of this many seconds occurs when a new server process is started, after it conducts the authentication procedure. This is intended to give an opportunity to attach to the server process with a debugger.
The following options only apply to the single-user mode.
Selects the single-user mode. This must be the first argument on the command line.
Specifies the name of the database to be accessed. This must be the last argument on the command line. If it is omitted it defaults to the user name.
Echo all commands.
Disables use of newline as a statement delimiter.
Send all server log output to filename. In normal multiuser mode, this option is ignored, and stderr is used by all processes.
Default character encoding used by clients. (The clients can override this individually.) This value can also be set in the configuration file.
Default data directory location
Default value of the DateStyle run-time parameter. (The use of this environment variable is deprecated.)
Default port number (preferably set in the configuration file)
Server time zone
A failure message mentioning semget or shmget probably indicates you need to configure your kernel to provide adequate shared memory and semaphores. For more discussion see Section 17.4. You might be able to postpone reconfiguring your kernel by decreasing shared_buffers to reduce the shared memory consumption of PostgreSQL, and/or by reducing max_connections to reduce the semaphore consumption.
A failure message suggesting that another server is already running should be checked carefully, for example by using the command
$ ps ax | grep postgres
or
$ ps -ef | grep postgres
depending on your system. If you are certain that no conflicting server is running, you can remove the lock file mentioned in the message and try again.
A failure message indicating inability to bind to a port might indicate that that port is already in use by some non-PostgreSQL process. You might also get this error if you terminate postgres and immediately restart it using the same port; in this case, you must simply wait a few seconds until the operating system closes the port before trying again. Finally, you might get this error if you specify a port number that your operating system considers to be reserved. For example, many versions of Unix consider port numbers under 1024 to be "trusted" and only permit the Unix superuser to access them.
The utility command pg_ctl can be used to start and shut down the postgres server safely and comfortably.
If at all possible, do not use SIGKILL to kill the main postgres server. Doing so will prevent postgres from freeing the system resources (e.g., shared memory and semaphores) that it holds before terminating. This might cause problems for starting a fresh postgres run.
To terminate the postgres server normally, the signals SIGTERM, SIGINT, or SIGQUIT can be used. The first will wait for all clients to terminate before quitting, the second will forcefully disconnect all clients, and the third will quit immediately without proper shutdown, resulting in a recovery run during restart.
The SIGHUP signal will reload the server configuration files. It is also possible to send SIGHUP to an individual server process, but that is usually not sensible.
To cancel a running query, send the SIGINT signal to the process running that command.
The postgres server uses SIGTERM to tell subordinate server processes to quit normally and SIGQUIT to terminate without the normal cleanup. These signals should not be used by users. It is also unwise to send SIGKILL to a server process — the main postgres process will interpret this as a crash and will force all the sibling processes to quit as part of its standard crash-recovery procedure.
The -- options will not work on FreeBSD or OpenBSD. Use -c instead. This is a bug in the affected operating systems; a future release of PostgreSQL will provide a workaround if this is not fixed.
To start a single-user mode server, use a command like
postgres --single -D /usr/local/pgsql/data other-options my_database
Provide the correct path to the database directory with -D, or make sure that the environment variable PGDATA is set. Also specify the name of the particular database you want to work in.
Normally, the single-user mode server treats newline as the command entry terminator; there is no intelligence about semicolons, as there is in psql. To continue a command across multiple lines, you must type backslash just before each newline except the last one.
But if you use the -j command line switch, then newline does not terminate command entry. In this case, the server will read the standard input until the end-of-file (EOF) marker, then process the input as a single command string. Backslash-newline is not treated specially in this case.
To quit the session, type EOF (Control+D, usually). If you've used -j, two consecutive EOFs are needed to exit.
Note that the single-user mode server does not provide sophisticated line-editing features (no command history, for example).
To start postgres in the background using default values, type:
$ nohup postgres >logfile 2>&1 </dev/null &
To start postgres with a specific port:
$ postgres -p 1234
This command will start up postgres communicating through the port 1234. In order to connect to this server using psql, you would need to run it as
$ psql -p 1234
or set the environment variable PGPORT:
$ export PGPORT=1234 $ psql
Named run-time parameters can be set in either of these styles:
$ postgres -c work_mem=1234 $ postgres --work-mem=1234
Either form overrides whatever setting might exist for work_mem in postgresql.conf. Notice that underscores in parameter names can be written as either underscore or dash on the command line. Except for short-term experiments, it's probably better practice to edit the setting in postgresql.conf than to rely on a command-line switch to set a parameter.


--- layout: post title: '30 Days in April: Day 14' date: 2009-04-14 22:27:52.000000000 -07:00 type: post published: true status: publish categories: [] tags: - 30 days - links - not polished but there's something there - stream of consciousness meta: _publicize_pending: '1' _edit_last: '6192' aktt_tweeted: '1' original_post_id: '181' _wp_old_slug: '181' author: login: falsefridays email<EMAIL_ADDRESS>display_name: Jim Withington first_name: '' last_name: '' ---
I decided to show you the kind of writing that pours out of me when I let my words go. This also means that I wrote more today, hooray!
However, I couldn't get this image post to show up properly in the blog post itself, so I gave you a tease above.
To read it properly, please click to view, full size, with a black background.
Thanks for clicking.


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Yes.
When fib(n)
is computed recursively, very many activations are created
and destroyed.
Sometimes the time it takes to compute fib(n)
is used as a
benchmark, a program that tests the speed of a computer.
Here is a bare-minimum program for fib(n)
:
class FibonacciCalc { public int fib( int n ) { if ( n == 1 ) return 1; else if ( n == 2 ) return 1; else return fib( n-1 ) + fib( n-2 ); } } class FibonacciTester { public static void main ( String[] args) { int argument = Integer.parseInt( args[0] ); FibonacciCalc f = new FibonacciCalc(); int result = f.fib( argument ); System.out.println("fib(" + argument + ") is " + result ); } }
Here are some results of running the program on my IBM ThinkPad 380ED. You might wish to run the program on your computer and compare speeds.
| N | 10 | 20 | 30 | 35 | 40 | 45 |
|---|---|---|---|---|---|---|
| fib(N) | 55 | 6765 | 832040 | 9227465 | 102334155 |<PHONE_NUMBER> |
| time (sec) | 2 | 2 | 3 | 4 | 30 | 360 |
It takes a few seconds for the Java system to load and start running. This time is included in these measurements.


Apple strudel
- ⏲ Prep time: 10 min
- 🍳 Cook time: 40 min
- 🍽 Servings: 6
Ingredients
- Puff pastry
- Apricot jam (about 300 g | 10 oz)
- 3 apples
- Ground cinnamon
- Breadcrumbs / crushed cookies
- Butter (optional)
- Powdered sugar (optional)
Directions
- Peel and cut the apples in thin slices.
- Roll out the puff pastry with a rolling pin.
- Spread the jam over the puff pastry with a spoon.
- Arrange the apple slices over the jam.
- Sprinkle with cinnamon and breadcrumbs.
- Cut tiny pieces of butter and arrange them over the apple slices.
- Roll the puff pastry edges over, overlapping them.
- Bake for around 40 minutes at 180°C (360° F).
- Cover with powdered sugar.
Contribution
Recipe tags:
dessert
breakfast


Top street artist to create new artwork underneath Banksy's 'Mild Mild West' in Stokes Croft
Hazard is known around the globe for her stunning creations
by Robin MurrayBristol is renowned for its graffiti and this weekend the city will welcome another stunning new piece of artwork.
Hazard, one of the top street artists in the UK, is renowned for her striking female portraits, detailed floral creations and wildlife pieces worldwide.
This weekend the artist, real name Harriet Wood, will be showing off her skills outside Hamilton House in Stokes Croft, where she will be creating a new piece of work below Banksy’s 'Mild Mild West'.
Hazard was initially due to create the artwork last week as part of the open studios weekend at the community hub, but was ordered by a doctor to rest her hand having been involved in a painting marathon across the USA, including jobs in Arizona and New York.
She said: "I was on strict orders not to do anything paint-related until my hand got better.
"I hate letting people down and was really looking forward to painting during the open studios weekend at Hamilton House.
"But it was just a postponement, not a cancellation, and I am looking forward to returning this weekend."
Harriet told Bristol Live she is not able to reveal what she will be painting, but people are encouraged to watch the creation being brought to life.
After spending several years in Barcelona Harriet is now based in Bristol - when not jetting all over the world to create her distinctive artwork, of course.
In 2014 she was recognised by the Huffington Post among "25 women pushing the limits of street art around the world" and also named among the UK’s very best female graffiti artists by The Guardian.
Hannah Worsley from Forward Space, which manages Hamilton House for owners Connolly & Callaghan, said: "When Hazard was not able to attend the open studios event, we knew it was just a postponement, not a cancellation.
"We’re all very excited to welcome her to Hamilton House this weekend. It’s fantastic for us that such a well-known artist is keen to create something here, and we can’t wait to see what she comes up with.
"We know what she is planning to create, but don’t want to say anything now, we would rather people came to watch the work take shape and find out for themselves."
Hazard is due to be painting from 11am on both Saturday and Sunday this weekend until late into the afternoon, depending on the weather.
Follow Discover Bristol
We have a dedicated Facebook page for all the latest on where to drink, eat, go out and events across Bristol.
From the best food and drink deals to exclusive sneak peeks at new restaurants and bars, gig reviews and weekend plans - Discover Bristol has got you covered.
You can follow the page here for all the latest news.
For the latest news in and around Bristol, visit and bookmark Bristol Live's homepage.


|
|||||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
See:
Description
| Interface Summary | |
| ResourceClassDiscover | |
| ResourceDiscover | |
| ResourceNameDiscover | Interface representing a mapping from a set of source resource names to a resultant set of resource names. |
| ResourceNameIterator | Iterate over resource names. |
| Class Summary | |
| Resource | 'Resource' located by discovery. |
| ResourceClass | 'Resource' located by discovery. |
| ResourceClassIterator | |
| ResourceIterator |
| Exception Summary | |
| DiscoveryException | An exception that is thrown only if a suitable service
instance cannot be created by ServiceFactory |
Highlights:
|
|||||||||||
| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


It
The small town of Derry, Maine. October 1988. Bill Denbrough is sick, he cannot go for a walk with his younger brother Georgie.
The kid
goes to the street alone. He's never coming home. June 1989. Bill can't deal with his brother disappearing. During the summer
on vacation,
he intends to explore the wasteland where Georgie's body may have been. Meanwhile in city of continue to disappearing people: first
the
girl disappears from the school bill, and then the local bully. The police are powerless, no one knows who is behind these
crimes. The
city has a curfew. Bill, along with such as it is, the rogue creates a Club of Losers. Each of these
teenagers have strange visions.
Together, the guys come to the conclusion: for many years, all the terrible events in Derry occur
the fault of some mystical force, which
is in the image of the dancing clown Pennywise.  And adults
will not help them in this battle, because they just do not notice anything.


Writing LTL Properties
LTL properties are composed using the module ltl.
The following combinators are available:
Note that we permit variables, denoted by a tuple @var,atom()@,
in the specification of a proposition. Such variables may be instantiated
at runtime.
There is also a LTL parser which given a string argument,
accepts the following language:
As in normal Erlang, a variable @var@ begins with an uppercase
letter.
The binding power of the LTL operators range, from looser to tighter,
@implies@, @equivalent@, @and@, @or@, @until@, @release@, @eventually@, @always@,
@next<EMAIL_ADDRESS>Apart from writing the operators in textual form (e.g., @always@),
the standard abbreviations and alternatives are available
(e.g., @G@,@[]@).
2010-07-05


The All India Council for Technical Education (AICTE) is the statutory body and a national-level council for technical education, under Department of Higher Education, Ministry of Human Resource Development. Established in November 1945 first as an advisory body and later on in 1987 given statutory status by an Act of Parliament, AICTE is responsible for proper planning and coordinated development of the technical education and management education system in India. The AICTE accredits postgraduate and graduate programs under specific categories at Indian institutions as per its charter.
'Smart India Hackathon 2017' is a pan India 36 hour nonstop digital programming competition


Home
Order
About
Contact
(current)
Pizza2Go
Get in touch!
We probably will not respond, but you can try anyways!
Submit Complaint


Follow all the steps and you will easily able to use Facebook BOT:
1. For this we will be using Chat Fuel(Free and easy to use this API 100000 messages per month which is more than enough)
2. Goto https://www.chatfuel.com
3. Click on Get started for Free.
4. A Facebook Page will open, enter your Credentials
5. You will be redirected to a dashboard Chatfuel Dashboard
6. In another tab open facebook, you need to create a Facebook Page: Just upload profile pic of that page and some litte description
7. Now goto Chatfuel Dashboard Page and refresh it, select the page you have just created and click on "CREATE A BLANK CHATBOT"
8. Now in the dashboard you will find many tabs, first tab is Build: You can edit Welcome Message. This is the message which Bot will ask on fresh chat.So Edit accordingly. Follow the preview below for better understanding
9. Now the second tab is Default Tab: So this message will be shown whenever saved keywords will not be found: Eg. We couldn't understand, please rephrase your message.
10. Now Goto Set Up AI: Here we we write different keywords and their equivalent answers possible.You can write as many answers.
11. You can build campaign card or Gallery(as shown in preview), Text Card, Image, Quick Reply and Plugin as per your requirement. This will also show with message type whether default or welcome. You can paste your website Link in that card or image.
12. Now on the Build Tab Just beside your logo there is link like m.me/21........
Copy It
13. The next task is to Link this Facebook Bot with your website:
So Goto Website Paste this Link.
Chat Here
and in this href section, paste the unique code that you have copied in point 12.
So now when user clicks that link or image, First messenger will be opened in seperate tab that asks for your Facebook authentication. You chat opened will be Your Bot created. For me Fundlr Bot will be created.
14. So try different phrases or words you have given in Dashboard.
15. Alternately even if your facebook chat is opened type your Bot name and open it that facility will work there too.
16. Thank You Friends feel free to fork and star if it was a help


Download Poster
I. Web platform
Ambisonic has been encoded in 360 video using Facebook 360 Encoder and deployed in Youtube as a 360 video. This will make the video compatible with VR mode. Users can use Google cardboard or Oculus Rift to navigate and change direction.
The video can also be rotated by sliding the video or using controller on the top left of the video.
For mobile user, rotating mobile device will also move the direction of the camera.
I. Web platform
Ambisonic has been encoded in 360 video using Facebook 360 Encoder and deployed in Youtube as a 360 video. This will make the video compatible with VR mode. Users can use Google cardboard or Oculus Rift to navigate and change direction.
The video can also be rotated by sliding the video or using controller on the top left of the video.
For mobile user, rotating mobile device will also move the direction of the camera.
Flinder Street Station Map
Please choose one location
Audio recorded by Sennheiser Ambeo VR 360 Microphone
Use headphone for best experience
Rotating by:Tilting your phone
WASD key
Watch in VR mode
Drag your mouse
Slide your finger
Use navigation controller on top left of the video
Voice recognition and speech synthesis
Commands list:Help
What is this?
Where am i?
When (was the video) recorded?
Next location
Replay
Rotating by:
Voice recognition and speech synthesis
Commands list:
The project
With almost one in five Australians experiencing some form of disability, a large proportion of the community face challenges to actively participate in city life.
This project (a participant for the Open innovation competition on city accessibility in 2018) is a proof of concept for a long-term technology-enabled solution to issues experienced by people with vision impaired.
Method
We develop an auditory-based simulator to simulate the sensory experience of a specific location in Melbourne’s CBD. The idea is to provide people who have vision impairment and blindness an immersive tool that allows them to experience the sounds of environments they plan to walk through. The simulator would allow them to rotate their body and hear the sounds change as they rotate.
In order to archive what we call “immersive” experience, we use Ambisonic Technology [1]: a full-sphere surround sound technique, in addition to the horizontal plane, it covers sound sources above and below the listener
Sounds are recorded by a tetrahedron microphone (left image) to get 4-channel monophonic A-format. This is converted into 4-channel B-format using mathematical formula shown below [1]. B-format file contains XYZ directions which covers all 3 dimensions. W channel is called omnidirectional.
II. Desktop Platform
For desktop platform, we development a standalone application using Max/MSP - a visual programming language for music and multimedia.
We make use of Hedrot - Open-Source Head Tracker. This product can be integrated in headphone tracks yaw-pitch-roll value when users rotate.
Below is desktop application interface, users can choose a specific location to play the sound, headtracker will automatically be detected once plugged in: Main procedure: start by loading 4 separate mono channels, convert to B format audio using sennheiser ambeo a-b format converter. After that, sound field is changed by ambix-rotator plug-in, this plug-in use yaw-pitch-roll data from Headtracker. Finally, ambix_biaural plug-in is used as a HRTF (head related transfer function) so that the output is 2 channel audio that can be played through headphone.
Narration and Audio Description based on user’s head direction
The surround area will be described, description is on-request and dynamically adjusted based on head direction. The yaw value from headtracker is extracted and separated into 4 parts: front, back, left and right. Audio cue will be played based on the head direction.
Main Equipments:
For desktop platform, we development a standalone application using Max/MSP - a visual programming language for music and multimedia.
We make use of Hedrot - Open-Source Head Tracker. This product can be integrated in headphone tracks yaw-pitch-roll value when users rotate.
Below is desktop application interface, users can choose a specific location to play the sound, headtracker will automatically be detected once plugged in: Main procedure: start by loading 4 separate mono channels, convert to B format audio using sennheiser ambeo a-b format converter. After that, sound field is changed by ambix-rotator plug-in, this plug-in use yaw-pitch-roll data from Headtracker. Finally, ambix_biaural plug-in is used as a HRTF (head related transfer function) so that the output is 2 channel audio that can be played through headphone.
Narration and Audio Description based on user’s head direction
The surround area will be described, description is on-request and dynamically adjusted based on head direction. The yaw value from headtracker is extracted and separated into 4 parts: front, back, left and right. Audio cue will be played based on the head direction.
Main Equipments:


Mastery: How to Learn Anything Fast | Nishant Kasibhatla
9,876 views • Jan 12, 2020
54
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SAVE
Ideas & Inspiration
27k subscribers
To thrive in today’s world of disruption and rapid
change, your ability to learn fast will be your hidden
advantage. In this fun, engaging and thought-provoking
session, Nishant Kasibhatla, Guinness Record Holder
(2011) and the only Grand Master of Memory in
Singapore will show you


@@include('./head.html')
@@include('./header.html')Grandton Police Service, commonly referred to as GPS, is the largest police force in the country, with 49,600 staff, comprising of 31,000 sworn police officers, 8,900 police staff and 1,600 non-sworn police community support officers (PCSO’s). GPS serves a 9.1 million population across 30 boroughs.
Both police officers and police staff work together to ensure the effective and efficient running of the force. Structure.pdf
Eugene Scott-King
Michael Tiplady
Nigel Crowthorne
Samantha Ball
Carl Saunders


Wisconsin
Team Members (20)
Dantestad
Team Members (12)
McGlynnton
Team Members (17)
Port Gilberto
Team Members (32)
Niaborough
Team Members (21)


We are India's First & Biggest Indian Origin Technical Community
GirlScript is a section-8 NON PROFIT company registered under the government of India on the 2nd of June, 2017. GirlScript is open for all organisation and supports beginners in technology and programming. It supports diversity by reserving 50% seats for women & lgbtq in all it's programs worldwide.


This privacy policy describes how your personal information is collected, used, and shared when you access Shooty Game' website and services.
This website does not collect any information from the users.
We may update this privacy policy to reflect changes or for other legal reasons.
For more information about this privacy policy, please email us at<EMAIL_ADDRESS>Last updated on 8 May 2021.


Developing a protocol for the molecular sexing of Humpback Whales in the Pacific Coast of Ecuador -
Arquimedes Scholarship Research Project (Jun - Sep 2010).
Shiny applications
Biodiversity Observations Miner -
A shiny app to text mining biodiversity events (such as species interactions) from published literature.
TDWG-Vis -
A shiny app to visualize and download data on the TDWG World Geographical Scheme
for Recording Plant Distributions. "Botanical Countries". Levels 1-4.
Do I have to run for the Ferry? -
A small shiny app for the residents of NDSM in Amsterdam North,
to check wether you should run to catch the next ferry or wait for the next one.


Hi. I'm Teejay. I've worked with companies like
Want to see a resume? Refer to my GitHub account.
I am available for Ruby and JavaScript consulting. Here's a list of buzzwords I know more than a thing or two about:
My current rate is $125/hr
Email me to talk shop about your project. If you're in Portland and love to drink coffee, let's drink some together.


An application designed for festival lovers, type in your State, pick which dates you are free and all of the related performances will be displayed to you via the Ticketek API and Spotify API.
Hendrix
This application was designed to allow businesses to create a profile and pages for their own businesses or products. Then consumers would be also able to create accounts to leave reviews on the page to warn against bad service or promote good service.
My Github
I post all of my most recent and past projects on my github, click above to see more!


Class to store information about a Theme property that contains values per available state
More...
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| int | GetShaderPropertyId () |
| | Lazy loads shader property ID from Unity for the ShaderPropertyName More...
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| |
| void | MigrateShaderData () |
| | This temporary function will migrate over the previously set shader data (via the now deprecated properties) to the new TargetShader and ShaderPropertyName properties More...
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| |
|
| string | Name [get, set] |
| | Name of property, useful for comparisons and editor displaying More...
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| |
| ThemePropertyTypes | Type [get, set] |
| | Type of value stored in this property More...
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| |
| List< ThemePropertyValue > | Values [get, set] |
| | List of values corresponding to every available state More...
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| |
| ThemePropertyValue | StartValue [get, set] |
| | The starting value of this property More...
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| |
| ThemePropertyValue | Default [get, set] |
| | Default value to use for this property More...
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| |
| Shader | TargetShader [get, set] |
| | Shader to target for getting/setting values with this property, if applicable Supported by Themes which have AreShadersSupported set to true More...
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| |
| string | ShaderPropertyName [get, set] |
| | Name of the shader property, defined in the TargetShader, to utilize for getting/setting values with this property, if applicable Supported by Themes which have AreShadersSupported set to true More...
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| |
Class to store information about a Theme property that contains values per available state
◆ GetShaderPropertyId()
| int Microsoft.MixedReality.Toolkit.UI.ThemeStateProperty.GetShaderPropertyId |
( |
| ) |
|
Lazy loads shader property ID from Unity for the ShaderPropertyName
- Returns
- integer key for current shader property to get/set shader values
◆ IsShaderPropertyType()
| static bool Microsoft.MixedReality.Toolkit.UI.ThemeStateProperty.IsShaderPropertyType |
( |
ThemePropertyTypes |
type | ) |
|
|
static |
Utility function that determines if the passed property type is supported for shader targeting
- Parameters
-
| type | type of property value |
- Returns
- true if property type supports shader targeting, false otherwise
◆ MigrateShaderData()
| void Microsoft.MixedReality.Toolkit.UI.ThemeStateProperty.MigrateShaderData |
( |
| ) |
|
This temporary function will migrate over the previously set shader data (via the now deprecated properties) to the new TargetShader and ShaderPropertyName properties
◆ ShaderPropertyID
| int Microsoft.MixedReality.Toolkit.UI.ThemeStateProperty.ShaderPropertyID = -1 |
|
protected |
◆ Default
Default value to use for this property
◆ Name
| string Microsoft.MixedReality.Toolkit.UI.ThemeStateProperty.Name |
|
getset |
Name of property, useful for comparisons and editor displaying
◆ ShaderPropertyName
| string Microsoft.MixedReality.Toolkit.UI.ThemeStateProperty.ShaderPropertyName |
|
getset |
Name of the shader property, defined in the TargetShader, to utilize for getting/setting values with this property, if applicable Supported by Themes which have AreShadersSupported set to true
◆ StartValue
The starting value of this property
◆ TargetShader
| Shader Microsoft.MixedReality.Toolkit.UI.ThemeStateProperty.TargetShader |
|
getset |
Shader to target for getting/setting values with this property, if applicable Supported by Themes which have AreShadersSupported set to true
◆ Type
Type of value stored in this property
◆ Values
List of values corresponding to every available state
The documentation for this class was generated from the following file:
- C:/Users/Thomas Peters/UnityProjects/MoveToCode/Assets/MRTK/SDK/Features/UX/Scripts/VisualThemes/Core/ThemeStateProperty.cs


net user List current user
net user rottenadmin P@ssword123! /add Add a new user with password
net localgroup Administrators List users in the localgroup Adminsitrators
net localgroup Administrators rottenadmin /add Add a user to the localgroup Administrators


Team Vivir was formed at hackathon in Brazil which was hosted by Google for Education where the challenge was to come up with a device to help students in higher education. Team Vivir designed glasses that could help visually impaired students navigate around their campuses.
Team Stepify was created at the hackathon at Harvard University with a vision to help the visually impaired and the elderly walk safely. A device was created that used computer vision to give contextual feedback to its users. The project won the Google Sponsor prize for best use of Google Cloud Platform.
The Google for Education Team brought team Stepify and Vivir together to form an international collaboration between two teams with the same vision. The goal was to mentor a unified team and write a case study based on the results contributed by the two teams.
Team Vivir and Team Stepify joined forces to create our new organization - Eyespace. The vision of Eyespace was to imagine a world where visually impaired people are empowered, independent and get a new new persepective to the world around them.
Eyespace was demoed at Google Cloud's conference - Next '19. Our app was presented on a mobile device which portrayed how it could be used to give general context awareness. We got a lot of insightful feedback both from an idea perspective and a technical perspective.
Currently, we are conducting beta testing with the community of visually impaired people in Brazil, and adding additional features to our app which will be rolled out in our Alpha version. We are working towards launching our IOS and Android app for public use very soon as well.


Lokesh Reddyvari
Software Engineer
Here's What I Do
Web Developer, Database Engineer, Software Engineer
JavaScript
SQL
HTML
contact me:<PHONE_NUMBER>
LinkedIn
"


Did iDQ find evidence for glitches at Hanford?
Did iDQ find evidence for glitches at Livingston?
Did iDQ upload minimum FAP statements from Hanford?
Did iDQ upload minimum FAP statements from Livingston?
Did iDQ upload timeseries plots from Hanford?
Did iDQ upload timeseries plots from Livingston?
Did iDQ upload which channels may be responsible at Hanford?
Did iDQ upload which channels may be responsible at Livingston?
Did iDQ upload estimates of the local FAP calibration at Hanford?
Did iDQ upload estimates of the local FAP calibration at Livingston?
Did iDQ upload estimates ofthe local ROC curves at Hanford?
Did iDQ upload estimates ofthe local ROC curves at Livingston?


E-scooter rider charged with causing death of cyclist in Bedok
by Lydia LamSINGAPORE: An electric scooter rider involved in a fatal collision with a cyclist in Bedok was charged on Monday (Nov 11) with causing the death of the 65-year-old woman.
Hung Kee Boon, 20, was also given two other charges under the Active Mobility Act for riding an unregistered and non-compliant device.
He is accused of causing the death of Madam Ong Bee Eng on the cycling path near Block 539, Bedok North Street 3 by committing a rash act not amounting to culpable homicide.
READ: Elderly woman injured in Bedok e-scooter collision dies in hospital
He allegedly rode his e-scooter at a speed of at least 26kmh to 28kmh while approaching an intersection and colliding with Mdm Ong at about 10.25pm on Sep 21.
According to charge sheets, his e-scooter weighed 44.2kg and had a 725mm-long handle bar, in contravention of the Active Mobility Act.
He was released on bail of S$15,000, and the judge adjourned the case to Nov 25.
Mdm Ong was taken unconscious to Changi General Hospital after the collision and died in hospital four days later. Her sister said at the wake that Madam Ong had suffered a brain injury and was placed on life support.
The Land Transport Authority subsequently said that Hung's device was non-compliant and should not have been used on public paths as it exceeded the prescribed weight and width limit.
E-scooters were banned from footpaths in Singapore from Nov 5, with offenders facing fines of up to S$2,000 and jail of up to three months once the ban is enforced from 2020.
If found guilty of causing a person's death by a rash act not amounting to culpable homicide, Hung can be jailed for up to five years, fined, or both.
For riding a non-compliant personal mobility device (PMD), he could be jailed for up to three months, fined a maximum S$5,000, or both.
The penalties for riding an unregistered PMD are a jail term of up to three months, a maximum fine of S$2,000, or both.


WITNESS LIST Business & Commerce Committee October 25, 2004 -10:00A Credit Scoring Models ON: Higgins, Jr., Hugh (Self), Austin, TX Insurance ON: Bordelon, Rod Public Insurance Counsel (Office of Public Insurance Counsel), Austin, TX Floyd, Beaman Lobbyist (Texas Coalition for Affordable Insurance Solutions), Austin, TX Kelemen, George Director (AARP), Austin, TX Montemayor, Jose Commissioner (Texas Department of Insurance), Austin, TX Shelley, Bonnie (AARP), Austin, TX Wendell, Ware Policy Director (Texas Watch), Austin, TX


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I have recenlty graduated from General Assembly where I undertook the Web Developers Immersive training course. This is an intensive three months full time course which outlines the full software stack that is required to develop Web solutions. I also have extensive experience in the Salesforce platform as a developer revolving around integration and customer customizations.
My email is: politisj@gmail.com


2 Platforms
Binary distributions of Release 4.0 are available for the following
platforms. Additional platforms are available. If your platform is not
listed, please let us know (sicstus-request@sics.se).
- Intel/x86, Windows 2000/XP/Vista, 32 bits
- Intel/x86, Linux glibc 2.3, 32/64 bits
- Built and tested on Red Hat Enterprise Linux 4
- Intel/x86, Linux glibc 2.2, 32 bits
- Built and tested on Red Hat Linux 7.2
- Intel/x86, Solaris 10, 32/64 bits
- Intel/x86, Mac OS X 10.4, 32/64 bits
- PowerPC, Mac OS X 10.4, 32 bits
- PowerPC, AIX 5.1L, 32/64 bits
- Sparc, Solaris 8, 32/64 bits
Send feedback on this subject.


Camping in Edmonton?
The feeling of a warm, crackling campfire, the chirps of crickets perched somewhere in the woods and the glow
of the aurora borealis above— there’s nothing like camping in the prairies. Whether you are looking for a camping retreat in Edmonton,
or just a short drive away, there are plenty of places to unroll your sleeping bag, pitch your tent,
or park your R.V. and take in the sights and sounds of the wilderness. From yurts and tipis to a full
on glamping experience, you dont have to go far to rest and recharge.


PullToRefreshControl
public class PullToRefreshControl : UIRefreshControl
Helper subclass of UIRefreshControl
to help implement pull to refresh custom controls.
-
Undocumented
Declaration
Swift
public private(set) var isAnimating: Bool
-
Setting this with a valid nib Name will load the custom view ti use inside the pull to refresh.
Declaration
Swift
public var customViewNibName: String? { get set }
-
Sets the custom view to be used inside the pull to refresh.
Declaration
Swift
public var customView: PullToRefreshControlView? { get set }
-
Call this method inside
scrollViewDidScroll
to update the pull animation progress if needed.Declaration
Swift
public func updatePullAnimation()
-
Call this method inside to trigger the refreshing animation if needed.
Declaration
Swift
override public func beginRefreshing()
-
Call this method to stop the refresing animetion and hide the refresh control.
Declaration
Swift
override public func endRefreshing()


Part 1: Key Concepts in RL¶
Table of Contents
Welcome to our introduction to reinforcement learning! Here, we aim to acquaint you with
- the language and notation used to discuss the subject,
- a high-level explanation of what RL algorithms do (although we mostly avoid the question of how they do it),
- and a little bit of the core math that underlies the algorithms.
In a nutshell, RL is the study of agents and how they learn by trial and error. It formalizes the idea that rewarding or punishing an agent for its behavior makes it more likely to repeat or forego that behavior in the future.
What Can RL Do?¶
RL methods have recently enjoyed a wide variety of successes. For example, it’s been used to teach computers to control robots in simulation...
...and in the real world...
It’s also famously been used to create breakthrough AIs for sophisticated strategy games, most notably Go and Dota, taught computers to play Atari games from raw pixels, and trained simulated robots to follow human instructions.
Key Concepts and Terminology¶
The main characters of RL are the agent and the environment. The environment is the world that the agent lives in and interacts with. At every step of interaction, the agent sees a (possibly partial) observation of the state of the world, and then decides on an action to take. The environment changes when the agent acts on it, but may also change on its own.
The agent also perceives a reward signal from the environment, a number that tells it how good or bad the current world state is. The goal of the agent is to maximize its cumulative reward, called return. Reinforcement learning methods are ways that the agent can learn behaviors to achieve its goal.
To talk more specifically what RL does, we need to introduce additional terminology. We need to talk about
- states and observations,
- action spaces,
- policies,
- trajectories,
- different formulations of return,
- the RL optimization problem,
- and value functions.
States and Observations¶
A state is a complete description of the state of the world. There is no information about the world which is hidden from the state. An observation is a partial description of a state, which may omit information.
In deep RL, we almost always represent states and observations by a real-valued vector, matrix, or higher-order tensor. For instance, a visual observation could be represented by the RGB matrix of its pixel values; the state of a robot might be represented by its joint angles and velocities.
When the agent is able to observe the complete state of the environment, we say that the environment is fully observed. When the agent can only see a partial observation, we say that the environment is partially observed.
You Should Know
Reinforcement learning notation sometimes puts the symbol for state, , in places where it would be technically more appropriate to write the symbol for observation, . Specifically, this happens when talking about how the agent decides an action: we often signal in notation that the action is conditioned on the state, when in practice, the action is conditioned on the observation because the agent does not have access to the state.
In our guide, we’ll follow standard conventions for notation, but it should be clear from context which is meant. If something is unclear, though, please raise an issue! Our goal is to teach, not to confuse.
Action Spaces¶
Different environments allow different kinds of actions. The set of all valid actions in a given environment is often called the action space. Some environments, like Atari and Go, have discrete action spaces, where only a finite number of moves are available to the agent. Other environments, like where the agent controls a robot in a physical world, have continuous action spaces. In continuous spaces, actions are real-valued vectors.
This distinction has some quite-profound consequences for methods in deep RL. Some families of algorithms can only be directly applied in one case, and would have to be substantially reworked for the other.
Policies¶
A policy is a rule used by an agent to decide what actions to take. It can be deterministic, in which case it is usually denoted by :
or it may be stochastic, in which case it is usually denoted by :
Because the policy is essentially the agent’s brain, it’s not uncommon to substitute the word “policy” for “agent”, eg saying “The policy is trying to maximize reward.”
In deep RL, we deal with parameterized policies: policies whose outputs are computable functions that depend on a set of parameters (eg the weights and biases of a neural network) which we can adjust to change the behavior via some optimization algorithm.
We often denote the parameters of such a policy by or , and then write this as a subscript on the policy symbol to highlight the connection:
Deterministic Policies¶
Example: Deterministic Policies. Here is a code snippet for building a simple deterministic policy for a continuous action space in Tensorflow:
obs = tf.placeholder(shape=(None, obs_dim), dtype=tf.float32)
net = mlp(obs, hidden_dims=(64,64), activation=tf.tanh)
actions = tf.layers.dense(net, units=act_dim, activation=None)
where mlp
is a function that stacks multiple dense
layers on top of each other with the given sizes and activation.
Stochastic Policies¶
The two most common kinds of stochastic policies in deep RL are categorical policies and diagonal Gaussian policies.
Categorical policies can be used in discrete action spaces, while diagonal Gaussian policies are used in continuous action spaces.
Two key computations are centrally important for using and training stochastic policies:
- sampling actions from the policy,
- and computing log likelihoods of particular actions, .
In what follows, we’ll describe how to do these for both categorical and diagonal Gaussian policies.
Categorical Policies
A categorical policy is like a classifier over discrete actions. You build the neural network for a categorical policy the same way you would for a classifier: the input is the observation, followed by some number of layers (possibly convolutional or densely-connected, depending on the kind of input), and then you have one final linear layer that gives you logits for each action, followed by a softmax to convert the logits into probabilities.
Sampling. Given the probabilities for each action, frameworks like Tensorflow have built-in tools for sampling. For example, see the tf.distributions.Categorical documentation, or tf.multinomial.
Log-Likelihood. Denote the last layer of probabilities as . It is a vector with however many entries as there are actions, so we can treat the actions as indices for the vector. The log likelihood for an action can then be obtained by indexing into the vector:
Diagonal Gaussian Policies
A multivariate Gaussian distribution (or multivariate normal distribution, if you prefer) is described by a mean vector, , and a covariance matrix, . A diagonal Gaussian distribution is a special case where the covariance matrix only has entries on the diagonal. As a result, we can represent it by a vector.
A diagonal Gaussian policy always has a neural network that maps from observations to mean actions, . There are two different ways that the covariance matrix is typically represented.
The first way: There is a single vector of log standard deviations, , which is not a function of state: the are standalone parameters. (You Should Know: our implementations of VPG, TRPO, and PPO do it this way.)
The second way: There is a neural network that maps from states to log standard deviations, . It may optionally share some layers with the mean network.
Note that in both cases we output log standard deviations instead of standard deviations directly. This is because log stds are free to take on any values in , while stds must be nonnegative. It’s easier to train parameters if you don’t have to enforce those kinds of constraints. The standard deviations can be obtained immediately from the log standard deviations by exponentiating them, so we do not lose anything by representing them this way.
Sampling. Given the mean action and standard deviation , and a vector of noise from a spherical Gaussian (), an action sample can be computed with
where denotes the elementwise product of two vectors. Standard frameworks have built-in ways to compute the noise vectors, such as tf.random_normal. Alternatively, you can just provide the mean and standard deviation directly to a tf.distributions.Normal object and use that to sample.
Log-Likelihood. The log-likelihood of a -dimensional action , for a diagonal Gaussian with mean and standard deviation , is given by
Trajectories¶
A trajectory is a sequence of states and actions in the world,
The very first state of the world, , is randomly sampled from the start-state distribution, sometimes denoted by :
State transitions (what happens to the world between the state at time , , and the state at , ), are governed by the natural laws of the environment, and depend on only the most recent action, . They can be either deterministic,
or stochastic,
Actions come from an agent according to its policy.
You Should Know
Trajectories are also frequently called episodes or rollouts.
Reward and Return¶
The reward function is critically important in reinforcement learning. It depends on the current state of the world, the action just taken, and the next state of the world:
although frequently this is simplified to just a dependence on the current state, , or state-action pair .
The goal of the agent is to maximize some notion of cumulative reward over a trajectory, but this actually can mean a few things. We’ll notate all of these cases with , and it will either be clear from context which case we mean, or it won’t matter (because the same equations will apply to all cases).
One kind of return is the finite-horizon undiscounted return, which is just the sum of rewards obtained in a fixed window of steps:
Another kind of return is the infinite-horizon discounted return, which is the sum of all rewards ever obtained by the agent, but discounted by how far off in the future they’re obtained. This formulation of reward includes a discount factor :
Why would we ever want a discount factor, though? Don’t we just want to get all rewards? We do, but the discount factor is both intuitively appealing and mathematically convenient. On an intuitive level: cash now is better than cash later. Mathematically: an infinite-horizon sum of rewards may not converge to a finite value, and is hard to deal with in equations. But with a discount factor and under reasonable conditions, the infinite sum converges.
You Should Know
While the line between these two formulations of return are quite stark in RL formalism, deep RL practice tends to blur the line a fair bit—for instance, we frequently set up algorithms to optimize the undiscounted return, but use discount factors in estimating value functions.
The RL Problem¶
Whatever the choice of return measure (whether infinite-horizon discounted, or finite-horizon undiscounted), and whatever the choice of policy, the goal in RL is to select a policy which maximizes expected return when the agent acts according to it.
To talk about expected return, we first have to talk about probability distributions over trajectories.
Let’s suppose that both the environment transitions and the policy are stochastic. In this case, the probability of a -step trajectory is:
The expected return (for whichever measure), denoted by , is then:
The central optimization problem in RL can then be expressed by
with being the optimal policy.
Value Functions¶
It’s often useful to know the value of a state, or state-action pair. By value, we mean the expected return if you start in that state or state-action pair, and then act according to a particular policy forever after. Value functions are used, one way or another, in almost every RL algorithm.
There are four main functions of note here.
The On-Policy Value Function, , which gives the expected return if you start in state and always act according to policy :
The On-Policy Action-Value Function, , which gives the expected return if you start in state , take an arbitrary action (which may not have come from the policy), and then forever after act according to policy :
The Optimal Value Function, , which gives the expected return if you start in state and always act according to the optimal policy in the environment:
The Optimal Action-Value Function, , which gives the expected return if you start in state , take an arbitrary action , and then forever after act according to the optimal policy in the environment:
You Should Know
When we talk about value functions, if we do not make reference to time-dependence, we only mean expected infinite-horizon discounted return. Value functions for finite-horizon undiscounted return would need to accept time as an argument. Can you think about why? Hint: what happens when time’s up?
You Should Know
There are two key connections between the value function and the action-value function that come up pretty often:
and
These relations follow pretty directly from the definitions just given: can you prove them?
The Optimal Q-Function and the Optimal Action¶
There is an important connection between the optimal action-value function and the action selected by the optimal policy. By definition, gives the expected return for starting in state , taking (arbitrary) action , and then acting according to the optimal policy forever after.
The optimal policy in will select whichever action maximizes the expected return from starting in . As a result, if we have , we can directly obtain the optimal action, , via
Note: there may be multiple actions which maximize , in which case, all of them are optimal, and the optimal policy may randomly select any of them. But there is always an optimal policy which deterministically selects an action.
Bellman Equations¶
All four of the value functions obey special self-consistency equations called Bellman equations. The basic idea behind the Bellman equations is this:
The value of your starting point is the reward you expect to get from being there, plus the value of wherever you land next.
The Bellman equations for the on-policy value functions are
where is shorthand for , indicating that the next state is sampled from the environment’s transition rules; is shorthand for ; and is shorthand for .
The Bellman equations for the optimal value functions are
The crucial difference between the Bellman equations for the on-policy value functions and the optimal value functions, is the absence or presence of the over actions. Its inclusion reflects the fact that whenever the agent gets to choose its action, in order to act optimally, it has to pick whichever action leads to the highest value.
You Should Know
The term “Bellman backup” comes up quite frequently in the RL literature. The Bellman backup for a state, or state-action pair, is the right-hand side of the Bellman equation: the reward-plus-next-value.
Advantage Functions¶
Sometimes in RL, we don’t need to describe how good an action is in an absolute sense, but only how much better it is than others on average. That is to say, we want to know the relative advantage of that action. We make this concept precise with the advantage function.
The advantage function corresponding to a policy describes how much better it is to take a specific action in state , over randomly selecting an action according to , assuming you act according to forever after. Mathematically, the advantage function is defined by
You Should Know
We’ll discuss this more later, but the advantage function is crucially important to policy gradient methods.
(Optional) Formalism¶
So far, we’ve discussed the agent’s environment in an informal way, but if you try to go digging through the literature, you’re likely to run into the standard mathematical formalism for this setting: Markov Decision Processes (MDPs). An MDP is a 5-tuple, , where
- is the set of all valid states,
- is the set of all valid actions,
- is the reward function, with ,
- is the transition probability function, with being the probability of transitioning into state if you start in state and take action ,
- and is the starting state distribution.
The name Markov Decision Process refers to the fact that the system obeys the Markov property: transitions only depend on the most recent state and action, and no prior history.