Release 0.10 ("Bellingham")
2018-05-02
We're happy to announce Perkeep version 0.10, arriving about one year (too
long!) after our last release. It's named
after Bellingham,
WA, home of LinuxFest
Northwest, where Mathieu and Brad just met up in person and gave a
talk on
Perkeep. [slides]
[video].
This is our first release with the name Perkeep since
we renamed the project
from Camlistore.
Some notable highlights of 0.10 include:
See below for the more complete list.
Docker
This is our first release with an official Docker image. It contains
the server and client binaries, but comes with no documentation. We
assume for now that you know Docker enough to use it:
$ docker pull gcr.io/perkeep-containers/perkeep:0.10
Android
Our Android app has been updated on the Google Play store.
Downloads
Darwin
perkeep-0.10.1-darwin.tar.gz
SHA256: a76c17fab2e72cd68c0fb7a2762c21be1b9d6bd06f88c52ef56f3f9f3dba62db
Linux
perkeep-0.10.1-linux.tar.gz
SHA256: 96a9832efccad5f8037d75870287539382b22dfa5795f113551bd9386def8f88
Source
perkeep-0.10.1-src.zip
SHA256: 888a4f4cda2212e8f46194a79dba5c38ad6a5890ea407b4f899645d1c6695244
Windows
perkeep-0.10.1-windows.zip
SHA256: 87d7a8f1c1a33c8abc6827d67f72decce16424f49a6db51c03d70af89008c034
Release Stats
33 total committers over 597 commits
since d21ecfd24
including Adam Shannon, Ashley McNamara, Attila Tajti, Brad
Fitzpatrick, Bruce C. Dillahunty, Daniel Heath, Daniel Lipovetsky,
Eric Drechsel, Fabian Wickborn, Filippo Valsorda, Govert Versluis,
Hernan Grecco, James Hillyerd, Josh Bleecher Snyder, Magnus
Landerblom, Markus Peröbner, Mathieu Lonjaret, Max Bernstein, Michael
Houston, Mike Lloyd, Paul Jolly, Paul Lindner, Peter Etelej, Phillip
Couto, Piotr S. Staszewski, Ronald Evers, Sergi Mansilla, Stephen
Searles, Sterchele Nicolas, Steve Armstrong, Steven L. Speek, Tamás
Gulácsi, Tilman Dilo, Will Norris.
Thank you!
Other Changes
Some other changes not mentioned above but excluding the most boring cleanups:
-
app/scanningcabinet:
- Show other tags of a doc in search results
-
blob:
- support SHA-224 blobrefs, make them the default
- add ref.HasPrefix method
- add ref.EqualString method
-
blobserver:
- add Go
context.Context
support to ReceiveBlob, Fetch, and BlobRemover
- change BlobStatter interface, simplify proxycache
-
blobserver/azure:
- new support for storing blobs on Microsoft Azure
-
blobserver/blobpacked:
- add start-up sanity check for integrity of packed zips
- log reindexing progress
-
blobserver/encrypt:
- implement meta blob packing
- rewrite encryption to use NaCl and a simpler metadata format
-
blobserver/files:
- new VFS layer for use by localdisk and other future files based implementations
-
blobserver/localdisk:
- check that underlying filesystem can perform operations needed
- limit stat concurrency
- move most of the implementation to blobserver/files
-
blobserver/mongo:
- fix stat behavior on missing blob
-
blobserver/overlay:
- overlay: new blobserver type
-
blobserver/remote:
- added trusted certs option
-
blobserver/union:
- union: new blobserver type
-
camnetdns:
- use Lets Encrypt http-01 challenge
-
client:
- remove and clean most New constructors, replace them with options
- check client/server version mismatch
- make android work with Let's Encrypt
-
clients:
- Move all relevant clients code under it
-
clients/android:
- migrate to gradle, update build setup
- avoid wifi manager memory leak
- add multiple profile support
- make the upload service permanent
- show pk-put error messages
- remove self-signed cert option
- add Keepy icon
- New release on Google Play Store
-
clients/osx:
- fix and update OSX status-menu app
-
cmd:
- rename cammount to pk-mount
- rename camget to pk-get, and make it a mode of pk
- rename camput to pk-put, and make it a mode of pk
- rename camweb to pk-web
- rename camdeploy to pk-deploy
-
deploy/gce:
- add Google Cloud Free Tier option
-
doc:
- update build instructions
- add comparison to other software and services
- add jsonsign protocol docs
- add LFNW 2018 talk
-
FUSE filesystem:
-
geocode:
- support the now-required Google API key and document how to configure
-
gpgchallenge:
- switch to using long forms of key IDs
-
importer:
- add gphotos, a Google Photos importer
- pick the "best" importer account when several exist
- rename foursquare to swarm, add Properties to Importer interface
- refresh importer root page, add Titles, Descriptions, TODO bugs
-
index:
- ignore unset msdos time when possible
- ignore indexed NaN location
- add integrity check
- switch to using the (long) GPG keyID, and not its blobRef, as the owner
- support for HEIC images
-
images:
- support for HEIC images
- support making thumbnails for HEIC in docker
-
magic:
-
osutil:
- rename the config dir to perkeep
-
make.go:
- fix building on FreeBSD
- fix building on Windows
- allow specifying CAMLI_GOPHERJS_GOROOT for building gopherjs with different Go
- move to Go 1.10
- remove the tmp source code mirroring, now that Go is caching properly
- rely on Go (GOBIN, GOPATH, or $HOME/go) for install location
-
misc/docker:
- add heiftojpeg, for making thumbnails from HEIC images
- update go image to 1.10.2
-
perkeepd:
- use Let's Encrypt http-01 challenge
- listen for SIGTERM
- on GCE, automatically migrate itself to Perkeep systemd service
-
perkeepd/ui:
- add "Select all" action
- add Map aspect
- disable key navigation when editing permanode attributes
- add sha224 support
- rename UI menu from Camli to Perkeep
- change Foursquare logo to Swarm logo
- add link to mobile setup in UI drop-down
- prefer permanode aspect over map aspect
-
pk:
- add "tool whoami" subcommand
- add "-1" flag to search subcommand
- make "search" command highlight position of JSON syntax errors
-
pk-devimport:
- new command that runs a local importer
-
pk-mount:
- add more documentation and examples to help people get started with PerkeepFs
- in debug mode, dump stacks on SIGQUIT
- default to mounting at /pk if it exists
-
pk-put:
- always output on fatal errors
- add --permanode option for blob subcommand
- add flag to specify hash function for raw blobs
-
pk:
- move more packages to internal
-
rollsum:
- optimizations to get better generated code from the compiler
-
schema:
- support for large directories, by breaking into subsets
-
search:
- support location area predicate
- enable using Around with unsorted blob sources
- add Map sort
- add "ref:" predicate support
- add expression/constraint aliases
- switch to using (long) GPG key ID, instead of its blobRef
- add support for wildcards in filename search
- allow empty expression
- optimize searching for a single blob
- optimize several popular search types to use better in-memory indexes
-
server:
- use a caching fetcher when downloading
- add recovery option on web UI and instance page
- add support for directories download
-
serverinit:
- catch typos in high-level server config
- remove DBNames and provide consistent default instead
- improve error message to help people find config file with errors
-
sorted/postgres:
-
sorted/sqlkv:
-
vendor:
- switch to using the dep vendor tree management tool, instead of doing things manually
-
website:
- add link to Open Collective page
- allow serving godoc for any valid package
- use Let's Encrypt http-01 challenge
- migrate to perkeep.org as the production domain
- Add CoC on community page
- add links to Android app
- move go code to pk-web package
Point Releases
0.10.1
Released on 2018-05-14. Bug fixes since 0.10:
- cmd/pk: fix summary of the "get" subcommand in help mode (361dfcd)
- internal/osutil: make perkeepd start on Windows without configuration location errors (e607198)
- server/perkeepd: stop initialization when creating default configuration fails (4a71536)
- blobserver/files: fix a data race in enumeration (1c06486)


Excel
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Shortcuts
Bookmarked
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Welcome to Common Shortcuts!
Common Shortcuts is a way to search and bookmark common Excel and Vim shortcuts so you no longer have to dig the web. It's made to save everyone's time when using softwares they interact with daily.
About Me
My name is Arvind Naidu, 22 years old, from Indonesia. I believe in the intersection of code, design, and business. Follow me on twitter :)
Credits
Shortcuts sourced for Vim from vim.rtorr.com and Excel from office-hacks


Modern Online Radio with Liquidsoap Book - Free Sample
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July 3rd, the day would hopefully bring forth a wonderful time 4 wheeling... Paul and Cindy woke in Parachute and muching muffins proceeded to the Island Acres Campground where the rest of the group was waiting. Unbeknown to Paul and Cindy the railroad was in full steam...After meeting up with Ray, Leah, Rose, Nathan, Bob, Dave, Robin, Terry, Diane, Tess, Troy, and Brian with a group of friends, Paul discovered that the railroad had steamed him into leading the trip as Sean (who was the orginator of the idea to do 21 Road) was unable to make the trip.
off we went reading directions as we drove back to Parachute. We actually managed to find the road. At the first fork Paul took the right and Dave took the left. Paul's route proved to be the easier one. Tess and Bob chose that route also...Dave's route found Brian having difficulties and the smell of clutch was getting strong but he persisted and made it up...After having watched Brian have so much fun Terry and Ray followed suit.
Higher and higher we went and more and more fun we had...after having lunch in a meadow, a group of High Country 4 Wheelers, from Glenwood Springs, caught up to us. They warned us about the mud bogs ahead... We drove through a stretch of glacial till and then down a nice steep hill to the 1st of the mud bogs...We made it through the 1st ones, no problems.
We then came to an area where Paul began to have 2nd thoughts about going on...As it was getting late in the day and there were more bogs and snow ahead. Dave, ever the adventerous one, decided to try the lower bog...Down he went and I do mean down...it was a lot softer than it had looked. He got himself out and then decided on a different route. This time he went down to the top of his hood and could not get himself out as easily as before so Paul to the rescue. After getting Dave out Bob decided to park his vehicle, and Brian his.
As Tess had parked hers back on the road it was up to Terry to give it the old college try...He chose the higher bog it had quite the incline but he made it with only a little slipping on the way down...but boy did he splash the mud around. He turned around and tried to come back up the way he went down but the incline was too steep on one of his attempts he managed to snag a tree stump that pushed his tailpipe into his tire...at first we thought he only lost the bead but after he winched himself up to the top of the bog we found that the tailpipe had cut a hole in the tire instead.
After watching Terry change this muddy tire we were going to turn around, this was to be a bit difficult as while we were waiting for Terry to get back up to the top of the bog the other goup had caught up to us. So we watched them go through...one of them told us how to get through the lower bog and then found himself having to winched out...they all got over to the other side and were headed on when one of them slipped and landed on a tree that had been covering the road after trying to get him off with a jack and a winch it was discovered the only way to release him from this delima was to chop the tree up.
As we were waiting, another group, this one the Larimar County 4 Wheel Drive from Ft. Collins caught us. This group was much bigger and so we ended up with quite the traffic jam and no way to get out until after the guy on the log was set free...It wouldn't have been so bad but the mosquitos were eating us alive. We also found out that not all frogs say BUD WIS ER.
When the traffic jam finally got cleared up we got ourselves turned around headed out...It was as we were headed for home that Brian lost his fuel pump. Dave put a strap on him and started down the road with him...It was a hair raising ride for Brian. After we reached the main road it proved to be a very dusty road for all of us...There were times when you couldn't see the vehicle in front of you...We got Brian to the rest stop in Parachute where the gas tank was disconnected and the pump taken out...Terry took Brian to Grand Junction where a part store had the part we were almost back to camp when Terry and Brian were spotted coming back...Dave turned around and went back to help...It proved to be a late day for them and Brian was to miss 21 Road as he had to go back the next morning to fix his jeep. What a day...


Chapter 0
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Chapter 1
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Chapter 2
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Chapter 3
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Chapter 4
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Chapter 5
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Chapter 6
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Chapter 7
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Chapter 8
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Chapter 9 - JavaScript
-
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The HTTP error 404 error means that the page you are trying to open could not be found on the server.
In other words, this means that there is no web page corresponding to the entered URL.
The error message may appear as follows:


{{individual_product?.productDesc}}
MRP: {{individual_product?.mrp}}
DP:
{{individual_product?.dp}}
{{user_address?.addLine1}},{{user_address?.addLine2}}
{{user_address?.city}},{{user_address?.state}}
Postal Code: {{user_address?.zipCode}}
Contact Number: {{user_contact_no}}
Deliver Here


PairedData: Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis tests are provided for analysing paired data with S4 class.
| Version: |
1.1.1 |
| Depends: |
methods, graphics, MASS, gld, mvtnorm, lattice, ggplot2 |
| Published: |
2018-06-02 |
| Author: |
Stephane Champely |
| Maintainer: |
Stephane Champely <champely at univ-lyon1.fr> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
PairedData results |
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=PairedData
to link to this page.


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{% extends 'layout.html' %} {% block body %}
To check on the status of this When2Meet (please save this link): {{ session.send.inviter_link }}
Send Invite to: {{ invitee.email }}


#include <gtest.h>
◆ TestSuite() [1/2]
◆ ~TestSuite() [1/2]
| virtual testing::TestSuite::~TestSuite |
( |
| ) |
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virtual |
◆ TestSuite() [2/2]
◆ ~TestSuite() [2/2]
| virtual testing::TestSuite::~TestSuite |
( |
| ) |
|
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virtual |
◆ ad_hoc_test_result() [1/2]
| const TestResult& testing::TestSuite::ad_hoc_test_result |
( |
| ) |
const |
|
inline |
◆ ad_hoc_test_result() [2/2]
| const TestResult& testing::TestSuite::ad_hoc_test_result |
( |
| ) |
const |
|
inline |
◆ disabled_test_count() [1/2]
| int testing::TestSuite::disabled_test_count |
( |
| ) |
const |
◆ disabled_test_count() [2/2]
| int testing::TestSuite::disabled_test_count |
( |
| ) |
const |
◆ elapsed_time() [1/2]
◆ elapsed_time() [2/2]
◆ Failed() [1/2]
| bool testing::TestSuite::Failed |
( |
| ) |
const |
|
inline |
◆ Failed() [2/2]
| bool testing::TestSuite::Failed |
( |
| ) |
const |
|
inline |
◆ failed_test_count() [1/2]
| int testing::TestSuite::failed_test_count |
( |
| ) |
const |
◆ failed_test_count() [2/2]
| int testing::TestSuite::failed_test_count |
( |
| ) |
const |
◆ GetTestInfo() [1/2]
| const TestInfo* testing::TestSuite::GetTestInfo |
( |
int |
i | ) |
const |
◆ GetTestInfo() [2/2]
| const TestInfo* testing::TestSuite::GetTestInfo |
( |
int |
i | ) |
const |
◆ name() [1/2]
| const char* testing::TestSuite::name |
( |
| ) |
const |
|
inline |
◆ name() [2/2]
| const char* testing::TestSuite::name |
( |
| ) |
const |
|
inline |
◆ Passed() [1/2]
| bool testing::TestSuite::Passed |
( |
| ) |
const |
|
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◆ Passed() [2/2]
| bool testing::TestSuite::Passed |
( |
| ) |
const |
|
inline |
◆ reportable_disabled_test_count() [1/2]
| int testing::TestSuite::reportable_disabled_test_count |
( |
| ) |
const |
◆ reportable_disabled_test_count() [2/2]
| int testing::TestSuite::reportable_disabled_test_count |
( |
| ) |
const |
◆ reportable_test_count() [1/2]
| int testing::TestSuite::reportable_test_count |
( |
| ) |
const |
◆ reportable_test_count() [2/2]
| int testing::TestSuite::reportable_test_count |
( |
| ) |
const |
◆ should_run() [1/2]
| bool testing::TestSuite::should_run |
( |
| ) |
const |
|
inline |
◆ should_run() [2/2]
| bool testing::TestSuite::should_run |
( |
| ) |
const |
|
inline |
◆ skipped_test_count() [1/2]
| int testing::TestSuite::skipped_test_count |
( |
| ) |
const |
◆ skipped_test_count() [2/2]
| int testing::TestSuite::skipped_test_count |
( |
| ) |
const |
◆ start_timestamp() [1/2]
◆ start_timestamp() [2/2]
◆ successful_test_count() [1/2]
| int testing::TestSuite::successful_test_count |
( |
| ) |
const |
◆ successful_test_count() [2/2]
| int testing::TestSuite::successful_test_count |
( |
| ) |
const |
◆ test_to_run_count() [1/2]
| int testing::TestSuite::test_to_run_count |
( |
| ) |
const |
◆ test_to_run_count() [2/2]
| int testing::TestSuite::test_to_run_count |
( |
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const |
◆ total_test_count() [1/2]
| int testing::TestSuite::total_test_count |
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◆ total_test_count() [2/2]
| int testing::TestSuite::total_test_count |
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◆ type_param() [1/2]
| const char* testing::TestSuite::type_param |
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◆ type_param() [2/2]
| const char* testing::TestSuite::type_param |
( |
| ) |
const |
|
inline |
◆ internal::UnitTestImpl
◆ Test
The documentation for this class was generated from the following files:


In this detailed lab, we'll follow the process of developing a predictive analytics model in Machine Learning Studio and then deploying it as an Azure Machine Learning web service. We'll start with publicly available credit risk data, develop and train a predictive model based on that data, and then deploy the model as a web service that can be used by others for credit risk assessment.
Client computer with Internet connectivity.
Microsoft Account / Live Id
To create a credit risk assessment solution, we'll follow these steps through a series of tasks:
Sign up for Machine Learning Workspace using a Microsoft Account
Create a new experiment with Saved Dataset
Train and evaluate the models
Deploy the web service
Estimated time to complete this lab: 1-2 Hours
Launch an In-Private Browser Window and navigate to https://studio.azureml.net/ . The following page should load.
Click on the Get Started link, which should pop up a dialog box as shown below
We will use the Sign in through a Microsoft Account for access to a free Azure ML studio access.
Close the Take a tour window.
Click on the +NEW link at the bottom of the page, then Select Experiment and click on creating a Blank Experiment.
Name the Experiment accordingly, the current title shows up as Experiment created on <Today’s Date>’. You can edit that text by simply selecting and updating it. Once the name is changed, click on the Save Save As button at the bottom of the page
It's a good practice to fill in Summary and Description for the experiment in the Properties pane. These properties give you the chance to document the experiment so that anyone who looks at it later will understand your goals and methodology.
In the Search experiment text box, type the keyword German, and it should show German Credit Card Data under Saved Datasets.
Drag the German Credit Card UCI Dataset on to the Canvas on the right.
You can view the first 100 rows of the data and some statistical information for the whole dataset by clicking the output port of the dataset and selecting Visualize. Notice that ML Studio has already identified the data type for each column. It has also given generic headings to the columns because the data file did not come with column headings.
Column headings are not essential, but they will make it easier to work with the data in the model. Also, when we eventually publish this model in a web service, the headings will help identify the columns to the user of the service. We can add column headings using the [Metadata Editor] (https://msdn.microsoft.com/library/azure/370b6676-c11c-486f-bf73-35349f842a66/) module. The [Metadata Editor] (https://msdn.microsoft.com/library/azure/370b6676-c11c-486f-bf73-35349f842a66/) module is used to change the metadata associated with a dataset. In this case, it can provide more friendly names for column headings. To do this, we'll direct [Metadata Editor] (https://msdn.microsoft.com/library/azure/370b6676-c11c-486f-bf73-35349f842a66/) to act on all columns and then provide a list of names to be added to the columns.*
In the module palette (one used before to find German Dataset), type "metadata" in the Search box. You'll see Metadata Editor in the module list.
Click and drag the Metadata Editor module onto the canvas and drop it below the dataset.
Connect the dataset to the Metadata Editor: click the output port of the dataset, drag to the input port of Metadata Editor, then release the mouse button. The dataset and module will remain connected even if you move either around on the canvas.
With the Metadata Editor still selected, in the Properties pane to the right of the canvas, click Launch column selector.
In the Select columns dialog, set the Begin with field to "All columns".
The row beneath Begin with allows you to include or exclude specific columns for the Metadata Editor to modify. Since we want to modify all columns, delete this row by clicking the minus sign ("-") to the right of the row. The dialog should look like this:
Click the OK checkmark.
Back in the Properties pane, look for the New column names parameter. In this field, enter a list of names for the 21 columns in the dataset, separated by commas and in column order. You can obtain the columns names from the dataset documentation on the UCI website, or for convenience you can copy and paste the following:
status of checking account, duration in months, credit history, purpose, credit amount, savings account/bond, present employment since, installment rate in percentage of disposable income, personal status and sex, other debtors, present residence since, property, age in years, other installment plans, housing, number of existing credits, job, number of people providing maintenance for, telephone, foreign worker, credit risk
The Properties pane will look like this:
TIP:
If you want to verify the column headings, run the experiment (click RUN below the experiment canvas), click the output port of the Metadata Editor module, and select View Results. You can view the output of any module in the same way to view the progress of the data through the experiment.
The experiment should now look something like this:
The next step of the experiment is to generate separate datasets that will be used for training and testing our model. To do this, we use the Split module.
Find the Split module, drag it onto the canvas, and connect it to the last Metadata Editor module.
By default, the split ratio is 0.5 and the Randomized split parameter is set. This means that a random half of the data will be output through one port of the Split module, and half out the other. You can adjust these, as well as the Random seed parameter, to change the split between training and scoring data. For this lab, we'll leave them as-is.
*TIP:*
The split ratio essentially determines how much of the data is output through the left output port. For instance, if you set the ratio to 0.7, then 70% of the data is output through the left port and 30% through the right port.
We can use the outputs of the Split module however we like, but let's choose to use the left output as training data and the right output as scoring data.
The cost of misclassifying a high credit risk as low is 5 times larger than the cost of misclassifying a low credit risk as high. To account for this, we'll generate a new dataset that reflects this cost function. In the new dataset, each high example is replicated 5 times, while each low example is not replicated.
We can do this replication using R code. Find and drag the Execute R Script module onto the experiment canvas and connect the left output port of the Split module to the first input port ("Dataset1") of the Execute R Script module.
In the Properties pane, delete the default text in the R Script parameter and enter this script:
dataset1 <- maml.mapInputPort(1)
data.set<-dataset1\[dataset1\[,21\]==1,\]
pos<-dataset1\[dataset1\[,21\]==2,\]
for (i in 1:5) data.set<-rbind(data.set,pos)
maml.mapOutputPort("data.set")
We need to do this same replication operation for each output of the Split module so that the training and scoring data have the same cost adjustment.
Right-click the Execute R Script module and select Copy.
Right-click the experiment canvas and select Paste.
Connect the first input port of this Execute R Script module to the right output port of the Split module.
The copy of the Execute R Script module contains the same script as the original module. When you copy and paste a module on the canvas, the copy retains all the properties of the original.
Our experiment now looks something like this:
In this experiment we want to try different algorithms for our predictive model. We'll create two different types of models and then compare their scoring results to decide which algorithm we want to use in our final experiment.
There are a number of models we could choose from. To see the models available, expand the Machine Learning node in the module palette, and then expand Initialize Model and the nodes beneath it. For the purposes of this experiment, we'll select the Two-Class Boosted Decision Trees module. We'll use the appropriate modules to initialize the learning algorithms and use Train Model modules to train the model.
Let's set up the boosted decision tree model:
Find the Two-Class Boosted Decision Tree module in the module palette and drag it onto the canvas.
Find the Train Model module, drag it onto the canvas, and then connect the output of the boosted decision tree module to the left input port ("Untrained model") of the Train Model module.
Connect the left output ("Result Dataset") of the left Execute R Script module to the right input port ("Dataset") of the Train Model module.
We don't need two of the inputs and one of the outputs of the Execute R Script module for this experiment, so we'll just leave them unattached. This is not uncommon for some modules.
This portion of the experiment now looks something like this:
We'll use the scoring data that was separated out by the Split module to score our trained models. We can then compare the results of the two models to see which generated better results.
Find the Score Model module and drag it onto the canvas.
Connect the left input port of this module to the boosted decision tree model (that is, connect it to the output port of the Train Model module that's connected to the Two-Class Boosted Decision Tree module).
Connect the right input port of the Score Model module to the output of the right Execute R Script module.
To evaluate the scoring results, we'll use the Evaluate Model module.
Find the Evaluate Model module and drag it onto the canvas.
Connect the left input port to the output port of the Score Model module associated with the boosted decision tree model.
The experiment should now look something like this:
Click the RUN button below the canvas to run the experiment. It may take a few minutes. You'll see a spinning indicator on each module to indicate that it's running, and then a green check mark when the module is finished.
When all the modules have a check mark, the experiment has finished running. To check the results, click the output port of the Evaluate Model module and select Visualize.
The Evaluate Model module produces curves and metrics that allow you to compare the results of the two scored models or a single model. You can view the results as Receiver Operator Characteristic (ROC) curves, Precision/Recall curves, or Lift curves. Additional data displayed includes a confusion matrix, cumulative values for the area under the curve (AUC), and other metrics. You can change the threshold value by moving the slider left or right and see how it affects the set of metrics.
Each time you run the experiment a record of that iteration is kept in the Run History. You can view these iterations, and return to any of them, by clicking VIEW RUN HISTORY below the canvas. You can also click Prior Run in the Properties pane to return to the iteration immediately preceding the one you have open. For more information, see Manage experiment iterations in Azure Machine Learning Studio.
To make this predictive model useful to others, we'll deploy it as a web service on Azure.
Up to this point we've been experimenting with training our model. But the deployed service is no longer going to do training - it will be generating predictions based on the user's input. So we're going to do some preparation and then deploy this experiment as a working web service that users can access. A user will be able to send a set of credit application data to the service, and the service will return the prediction of credit risk.
To do this, we need to:
Convert the training experiment we've created into a predictive experiment
Deploy the predictive experiment as a web service
Converting to a predictive experiment involves three steps:
Save the model we've trained and replace our training modules with it
Trim the experiment to remove modules that were only needed for training
Define where the web service input and output nodes should be
When you click Setup Web Service, several things happen:
Modules that were used for training are removed. Specifically:
The second Execute R Script module that was used for test data
The saved trained model is added to the experiment.
*Web service input and Web service output modules are added.*
The experiment has been saved in two parts: the original training experiment, and the new predictive experiment. You can access either one using the tabs at the top of the experiment canvas.
Our experiment should now look like this:
You may be wondering why we left the UCI German Credit Card Data dataset in the predictive experiment. The service is going to use the user's data, not the original dataset, so why leave them connected?
It's true that the service doesn't need the original credit card data. But it does need the schema for that data, which includes information such as how many columns there are and which columns are numeric. This schema information is necessary in order to interpret the user's data. We leave these components connected so that the scoring module will have the dataset schema when the service is running. The data isn't used, just the schema.
You can update the web service after you've deployed it. For example, if you want to change your model, just edit the training experiment, tweak the model parameters, and click Deploy Web Service. When you deploy the experiment again, it will replace the web service, now using your updated model.
You can configure the service by clicking the CONFIGURATION tab. Here you can modify the service name (it's given the experiment name by default) and give it a description. You can also give more friendly labels for the input and output columns.
On the DASHBOARD page, click the Test link under Default Endpoint. A dialog will pop up and ask you for the input data for the service. These are the same columns that appeared in the original German credit risk dataset.\
Enter a set of data and then click OK.
The results generated by the web service are displayed at the bottom of the dashboard. The way we have the service configured, the results you see are generated by the scoring module.
In this lab you learned how to provision and use a Machine Learning experiment from the Azure ML studio.


We have an active community forum where we welcome your thoughts, ideas and feedback.
We are now using StackOverflow.com for technical Questions and Answers. We monitor Stack Overflow for questions tagged with "nimbits".
Ask a question on StackOverflow and we will answer it.
Contact support directly: support@nimbits.com


Docker allows for a portable, lightweightenvironments called "containers" that can be run in isolation, to allow for a high degree of repeatablility and consistency.
This makes it applications easy to deploy and environments easier to share.
Like a VM:
Own process space
Own file system
Own network interface
Install stuff on it
Run applications inside it
Not like a VM:
Uses host kernel
Can't run different OS than host (Windows=Windows,Linux=Linux)


Students from Science stream in 12th of any board of exams can join the Bachelor of Dental Surgery (BDS) course by clearing respective entrance exams. BDS is a 5 year long undergraduate program. There are Government as well as private dental colleges offering this course.
BDS students, subsequent to the completion of the course, can work with hospitals in the private or the public sector. It is also possible for them to start their own dental clinic.
Entrance Exam after 12th for BDS Course Admission
Many entrance exams are conducted through out India for the admission of candidates into the BDS course. Some of the popular entrance exams are: All India Pre Medical Test (AIPMT) All State Level Common Medical Entrance Examination All India Institute of Medical Science (AIIMS) Apart from these exams, there are a few common medical entrance exams that are carried out by the Central Board of Secondary Education, the individual State Medical Council Board & the Respective Universities for the admission of students into the BDS & MBBS courses in quite a lot of government as well as private medical colleges in and around the country.
A few of the BDS exams that are held by other Colleges/Universities are: AFMC AIPGDET DUMET AU AIMEE MP DMAT AMUPMDC COMEDK PGET Dr.D.Y.Patil Institute All India Common Entrance Test for MBBS and BDS
Eligibility for Appearing for BDS Exams
Candidates who seek to apply for the BDS course must be above 17 years and less than 25 years. Candidates must have finished their class 12 with a background in science. They must have attained a minimum of 50 percent in the final exams; relaxation is given to SC/ST students. Apply for the BDS entrance exams after 12th
BDS course typically involves the study of Dental materials Oral Medicine & Radiology Dental anatomy & Oral histology Community Dentistry Pedodontics Oral Pathology The students need be systematic and hard working if they want to do well in this course. You need to keep your focus for more than 5 and half years. Since the exams and practical sessions are going to time intensive, only those with a passion and interest for this subject can do well. Read a lot of reference text books in addition to attending the lecture sessions in the college. Plan to widen the knowledge base and always be prepared to update yourself on latest aspects in dental treatment and care. Apart from the deeper subject knowledge, it is important to have craftsmanship and a good behavior to be successful in this line
In India, there are many dental colleges imparting quality education. At least 292 colleges offer BDS course across India. Some of the dental colleges are listed below: Dental College & Hospital, Aurangabad Dental College & Hospital, Mumbai Dental College, Gujarat Government Dental College & Research Institute, Bengaluru Amrita College of Dentistry, Kerala Maulana Azad Medical College, New Delhi Faculty of Dental Science, King George’s Medical University, Lucknow Dental College, Thiruvananthapuram Govt. Dental College & Hospital, Andhra Pradesh
Career & Jobs
After the completion of the BDS course, the dental graduates are entitled to use the term Doctor before his or her name as the prefix “Dr.”. There are plenty of good jobs & higher study opportunities available after getting the degree in dentistry as a doctor. It is the professional field with 100% job placement. A BDS graduate may go for the PG degree programmes leading to the Domain MDS (Master of Dental Surgery). MDS is the advanced degree in dentistry field and allows the candidates to specialize in any of its discipline. Interested candidates can also go for research programme by pursuing Doctor of Philosophy. Teaching career is also open for BDS graduates. Those interested in teaching can acquire teaching jobs in any of the top Dental Colleges. They are eligible to hold positions as professors or even HOD and even get promoted to Dean. This profession includes the imaging, tissue graft, implants, laser surgery and trauma. After completing this course you will be hired by the medical college, hospitals, nursing home, health corporations, health ministry, and back office medical consultancy. One can also open his/her own dental clinic or work as dentist in government and private hospitals.
The Job Profiles of the BDS may be the following: Dentist Dental Surgeon Endodontic Oral and Maxillofacial Pathologist Oral Surgery Orthodontics Pedodontics Periodontics Prosthodontics Some employment areas for BDS aspirants are: Dental Clinics Hospitals Educational Institutions Pharmaceutical Companies Dental Products Manufactures Private Practice


Powerful technologies like Dynamics 365 and power apps are leading the new sales and communication area. In SESICOMP we plan and develop full projects using the Microsoft tools giving you the total control of the system customization.
Dynamics 365: ERP and CRM No.1 tool developed by Microsoft, it gives you the flexibility and extensibility to develop practically any type of project (local, medium and worldwide)
PowerApps: One of the most powerful mobile app builders with the advantages of Azure services, you can develop any kind of app for any kind of device, you can take advantage of the full package by connecting the Dynamics CRM control with PowerApps for big projects.
.Net C#: Software project developed on the multiparadigm language C#, with the support of .Net you can create strong, secure and dynamic programs.
HTML5: One of the most used web code to develop webpages , you can practically create any type of structure to start a webpage together with JavaScript and CSS.
JavaScript: The programming language that let us create and execute complicate and dynamic tasks, its used on 70% of the web pages on the world.
CSS3: With CSS you can do any type of design you want, it also let us create and interact with 3D objects, its used on all the web apps/pages.
TypeScript: is a superset of JavaScript which primarily provides optional static typing, classes and interface, its used on some frameworks for better functionality.
PHP: Is a server side scripting language, its used to develop WebApps and mostly on Laravel’s framework.
Laravel: Is one of the principals frameworks for develop WebApps, using PHP as its base language code, will let you develop any kind of project you can imagine.
ZK: Its not so popular as Laravel but its very powerful for developing web and mobile apps, deepening on the necessities you can choose this option.
SpringBoot: A java base framework, its used for projects with large number of dependencies, with the support of Oracle, you can develop any kind of world categories projects.
Angular JS: Is a structural framework for dynamic web apps. It lets you use HTML as your template language and lets you extend HTML's syntax to express your application's components clearly and succinctly.
Angular CLI: It is a command line tool for creating angular apps. It is recommended to use angular cli for creating angular apps as you don't need to spend time installing and configuring all the required dependencies.
Xamarin: is a developer platform made up of tools, programming languages, and libraries for building many different types of applications.
In SESICOMP we focus our developments so that cross-platform is available through adaptive design architectures available for Android as well as for iOS.
To solve a very particular problem of your company, either because you want to have a competitive advantage over your competitors or because there is no standard solution in the market that suits your need. In SESICOMP we dedicate the time to listen to our clients in order to obtain a clear and complete understanding of the business, objectives, problems, culture and users to be able to offer a comprehensive customized solution.
SQL: Is the standard language for relational database management systems, it is used to perform tasks such as update data on a database, or retrieve data from a database.
MSYQL: A relational database stores data in separate tables rather than putting all the data in one big storeroom. The database structures are organized into physical files optimized for speed.
SCRUM: One of the biggest frameworks within which people can address complex adaptive problems, while productively and creatively delivering products of the highest possible value.
PSP: Is a structured software development process that is designed to help software engineers better understand and improve their performance


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| Interface | Description |
|---|---|
| StaticFieldConverter |
Interface for adding and removing classes that provide static fields which should
be made available via a
Converter . |
| Class | Description |
|---|---|
| ArrayConverter |
A converter that knows how to use other converters to create arrays of supported types.
|
| AvailableCommandsConverter |
Available commands converter.
|
| BigDecimalConverter |
Converter for BigDecimal . |
| BigIntegerConverter |
Converter for BigInteger . |
| BooleanConverter | |
| CharacterConverter | |
| DateConverter | |
| DoubleConverter | |
| EnumConverter | |
| FileConverter | |
| FloatConverter | |
| IntegerConverter | |
| LocaleConverter | |
| LongConverter | |
| ShortConverter | |
| SimpleFileConverter | |
| StaticFieldConverterImpl |
A simple
Converter for those classes which provide public static fields to represent possible textual values. |
| StringConverter |


Sri Venkateswara University (commonly referred to as S. V. University or SVU) is a state university in Tirupati, Andhra Pradesh, India. It was founded in 1954 by chief minister Tanguturi Prakasam Pantulu.
The university is named after Lord Venkateswara whose shrine is located in the city.
It was awarded prestigious A+ grade by NAAC.
No.1 university among south india.
For more details about college click here
M'explore is a national level technical symposium which is to be conducted on 3rd and 4th april in S.V.U College of engineering. This technical symposium will lead you to expose your technical skills. This symposium has a glorious past in encouraging innovative ideas of students.
The Department has 23 faculty members , 343 UG students, 36 PG students and 43 supporting technical staff. The Department offers academic programmes leading to B.Tech.,Dual degree., M.Tech. and Ph.D. degrees. The department is offering two PG programs- Industrial Engineering and Production Engineering.
The faculty members are in various research fields and they are clustered under three broad specializations - Design, Manufacturing and Thermal Engineering. They have been engaged in research in all the classical fields of Mechanical Engineering and upcoming fields too.
The academic activities are supported by 14 laboratories of which four are specialized and research laboratories. The laboratories are refurbished under TEQIP Phase – III. The new laboratories established are IC engines laboratory and Flexible manufacturing Systems laboratory. The department is focusing major research in the fields of metal cutting, Non-conventional energy resources, composite materials, etc., and also the department of Mechanical Engineering is revising the courses every two years to meet the industrial requirement. As a consequence about 90% of students from the department of Mechanical Engineering are placed in the campus placements and most of the students are GATE aspirants. The department of Mechanical Engineering has top ten ranks in GATE in its credit in the past years.


Money Game. How should Red play 33?
pips Red=142 White=75
(CorrectAnswer= 0/0, ErrorScore= 0)
Apologies for lack of a post yesterday - my Intenet provider had a few problems! In compensation I will post tomorrow (Sunday) - normally my day of rest each week.
This one caused a long, long debate at the Battersea chouette.
There are arguments for many plays including 22/16(2), 8/2(2) and 22/16, 4/1(2)*.
With the cube on White's side Red does best to follow Magriel's Maxim: “Put them where you want them”. This implies that 8/2(2) is the best move, as those checkers surely belong on the 2-pt, and indeed it is. 22/19(2), 22/16 is also good as that gives excellent outfield coverage. 22/16(2) would be a small error.
In the actual game the cube was on Red's side because none of the team elected to redouble – despite the that fact the position is only a whisker away from being too good to double! With the cube on Red's side the best play is 22/16(2) and the other plays become errors, thus showing that must adjust you play to the position of the cube. 22/16(2) gives great outfield coverage and ensures Red can redouble next turn (in most variations).
This one caused a long, long debate at the Battersea chouette.
There are arguments for many plays including 22/16(2), 8/2(2) and 22/16, 4/1(2)*.
With the cube on White's side Red does best to follow Magriel's Maxim: “Put them where you want them”. This implies that 8/2(2) is the best move, as those checkers surely belong on the 2-pt, and indeed it is. 22/19(2), 22/16 is also good as that gives excellent outfield coverage. 22/16(2) would be a small error.
In the actual game the cube was on Red's side because none of the team elected to redouble – despite the that fact the position is only a whisker away from being too good to double! With the cube on Red's side the best play is 22/16(2) and the other plays become errors, thus showing that must adjust you play to the position of the cube. 22/16(2) gives great outfield coverage and ensures Red can redouble next turn (in most variations).
1. Cubeful 2-ply 8/2(2) Eq.: +0.604 0.751 0.256 0.010 - 0.249 0.078 0.000 2. Cubeful 2-ply 22/16(2) Eq.: +0.591 (-0.013) 0.748 0.244 0.010 - 0.252 0.074 0.000 3. Cubeful 2-ply 22/16 22/19(2) Eq.: +0.578 (-0.026) 0.755 0.215 0.009 - 0.245 0.071 0.000 4. Cubeful 2-ply 22/16 4/1*(2) Eq.: +0.538 (-0.066) 0.716 0.278 0.011 - 0.284 0.085 0.001 5. Cubeful 2-ply 22/16 18/15 6/3 Eq.: +0.538 (-0.067) 0.738 0.231 0.010 - 0.262 0.088 0.001


Steps ! Content-1
Hi, this is kawsar bin siraj
addicted to programming also I love being minimal and creative.
To know about me https://kawsarbinsiraj.github.io/
Steps ! Content-2
Sr. Frontend Developer at Getweb Inc Ltd.
To know about me https://kawsarbinsiraj.github.io/
Steps ! Content-3
Sr. Frontend Developer at Getweb Inc Ltd.
To know about me https://kawsarbinsiraj.github.io/
Github https://github.com/kawsarBinSiraj


|
| rtp_error_t | send_sdes_packet (std::vector< uvgrtp::frame::rtcp_sdes_item > &items) |
| | Send an RTCP SDES packet. More...
|
| |
| rtp_error_t | send_app_packet (char *name, uint8_t subtype, size_t payload_len, uint8_t *payload) |
| | Send an RTCP APP packet. More...
|
| |
| rtp_error_t | send_bye_packet (std::vector< uint32_t > ssrcs) |
| | Send an RTCP BYE packet. More...
|
| |
| void | set_ts_info (uint64_t clock_start, uint32_t clock_rate, uint32_t rtp_ts_start) |
| | Provide timestamping information for RTCP. More...
|
| |
| rtp_error_t | install_sender_hook (void(*hook)(uvgrtp::frame::rtcp_sender_report *)) |
| | Install an RTCP Sender Report hook. More...
|
| |
| rtp_error_t | install_receiver_hook (void(*hook)(uvgrtp::frame::rtcp_receiver_report *)) |
| | Install an RTCP Receiver Report hook. More...
|
| |
| rtp_error_t | install_sdes_hook (void(*hook)(uvgrtp::frame::rtcp_sdes_packet *)) |
| | Install an RTCP SDES packet hook. More...
|
| |
| rtp_error_t | install_app_hook (void(*hook)(uvgrtp::frame::rtcp_app_packet *)) |
| | Install an RTCP APP packet hook. More...
|
| |
◆ install_app_hook()
| rtp_error_t uvgrtp::rtcp::install_app_hook |
( |
void(*)(uvgrtp::frame::rtcp_app_packet *) |
hook | ) |
|
Install an RTCP APP packet hook.
This function is called when an RTCP APP packet is received
- Parameters
-
| hook | Function pointer to the hook |
- Return values
-
| RTP_OK | on success |
| RTP_INVALID_VALUE | If hook is nullptr |
◆ install_receiver_hook()
| rtp_error_t uvgrtp::rtcp::install_receiver_hook |
( |
void(*)(uvgrtp::frame::rtcp_receiver_report *) |
hook | ) |
|
Install an RTCP Receiver Report hook.
This function is called when an RTCP Receiver Report is received
- Parameters
-
| hook | Function pointer to the hook |
- Return values
-
| RTP_OK | on success |
| RTP_INVALID_VALUE | If hook is nullptr |
◆ install_sdes_hook()
| rtp_error_t uvgrtp::rtcp::install_sdes_hook |
( |
void(*)(uvgrtp::frame::rtcp_sdes_packet *) |
hook | ) |
|
Install an RTCP SDES packet hook.
This function is called when an RTCP SDES packet is received
- Parameters
-
| hook | Function pointer to the hook |
- Return values
-
| RTP_OK | on success |
| RTP_INVALID_VALUE | If hook is nullptr |
◆ install_sender_hook()
| rtp_error_t uvgrtp::rtcp::install_sender_hook |
( |
void(*)(uvgrtp::frame::rtcp_sender_report *) |
hook | ) |
|
Install an RTCP Sender Report hook.
This function is called when an RTCP Sender Report is received
- Parameters
-
| hook | Function pointer to the hook |
- Return values
-
| RTP_OK | on success |
| RTP_INVALID_VALUE | If hook is nullptr |
◆ send_app_packet()
| rtp_error_t uvgrtp::rtcp::send_app_packet |
( |
char * |
name, |
|
|
uint8_t |
subtype, |
|
|
size_t |
payload_len, |
|
|
uint8_t * |
payload |
|
) |
| |
Send an RTCP APP packet.
- Parameters
-
| name | Name of the APP item, e.g., EMAIL or PHONE |
| subtype | Subtype of the APP item |
| payload_len | Length of the payload |
| payload | Payload |
- Return values
-
| RTP_OK | On success |
| RTP_MEMORY_ERROR | If allocation fails |
| RTP_GENERIC_ERROR | If sending fails |
◆ send_bye_packet()
| rtp_error_t uvgrtp::rtcp::send_bye_packet |
( |
std::vector< uint32_t > |
ssrcs | ) |
|
Send an RTCP BYE packet.
In case the quitting participant is a mixer and is serving multiple paricipants, the input vector contains the SSRCs of all those participants. If the participant is a regular member of the session, the vector only contains the SSRC of the participant.
- Parameters
-
| ssrcs | Vector of SSRCs of those participants who are quitting |
- Return values
-
| RTP_OK | On success |
| RTP_MEMORY_ERROR | If allocation fails |
| RTP_GENERIC_ERROR | If sending fails |
◆ send_sdes_packet()
| rtp_error_t uvgrtp::rtcp::send_sdes_packet |
( |
std::vector< uvgrtp::frame::rtcp_sdes_item > & |
items | ) |
|
Send an RTCP SDES packet.
- Parameters
-
| items | Vector of SDES items |
- Return values
-
| RTP_OK | On success |
| RTP_MEMORY_ERROR | If allocation fails |
| RTP_GENERIC_ERROR | If sending fails |
◆ set_ts_info()
| void uvgrtp::rtcp::set_ts_info |
( |
uint64_t |
clock_start, |
|
|
uint32_t |
clock_rate, |
|
|
uint32_t |
rtp_ts_start |
|
) |
| |
Provide timestamping information for RTCP.
If the application wishes to timestamp the stream itself AND it has enabled RTCP by using RCE_RTCP, it must provide timestamping information for RTCP so sensible synchronization values can be calculated for Sender Reports
The application can call uvgrtp::clock::ntp::now() to get the current wall clock reading as an NTP timestamp value
- Parameters
-
| clock_start | NTP timestamp for t = 0 |
| clock_rate | Clock rate of the stream |
| rtp_ts_start | RTP timestamp for t = 0 |
The documentation for this class was generated from the following file:


I want to build things that people and businesses use. Solving problems and finding alternative answers is fun for me. I strive to find solutions that are straightforward, efficient and effective. There is a certain magical quality that simple solutions possess. Finding the balance between form and function is something that I enjoy.
I am passionately creative and resourceful while always looking to learn new skills and improve current ones. I enjoy challenges and continually growing and changing for the better. Development is exciting to me because it requires both critical and creative thinking. Each day represents a chance to harness something great, especially when considering all things tech.
HTML5
JavaScript
AngularJS
CSS3
Bootstrap
jQuery
PHP
AWS
Firebase
Chrome DevTools
PHPStorm
MAMP
Git/Github
Sublime
Command Line


My preference has always been stateless approach, but the approach mentioned needs a bit more work. You want the link to expire in some time - so when you generate the signature, you append a timestamp into it as well.
Stateless email verification should be something like this -
- Make a JSON Object with {"email"<EMAIL_ADDRESS>"timestamp": "1395139162"}
- Base64 encode JSON Object with URL Safe Encoder. Call the string as "payload"
- Compute a signature, which is SHA1(payload + secret key). MD5 is also fine for this purpose.
- Generate a link - https://example.com/verify_email?payload=
&signature= and email the user. - When the user clicks the link, extract the payload and verify the signature. If signature mismatch - raise hell
- Extract timestamp and verify it hasn't expired
- Finally, confirm the email. Optionally, log in the database when the email was confirmed.


My parents perscribed ritalin for me when I was younger, but it gave me stomache aches and made me not hungry. I tried many other ADD medicines and they all did the same thing so I stopped taking them. But to make my parents happy, I pretended that I was taking them. I pocketed them. My friend was over about a year ago, and I told him how I pocket them and he laughed, and he was talking about how you can snort it and get screwed up. I snorted the smallest bit of one to make him laugh, but that led to more. Neither of us had done anything bad, not even a ciggarette back then. He said he had done it before. He was lieing but I believed him and so we snorted some. Not even knowing what was safe, he did one thirty mg pill, and I did 4 30 mg's within a half an hour.
 My friend was really calm, and just watched me.  I even told my little brother what I did, laughing. He was only 9. I ran up the road, making people come with me, but they stopped running a while after I did, and I look back, and see them not in back of me, but walking back down the hill. I started to go back, and became scared of being alone in the dark and cold. I became paranoid of people coming out of the woods and stuff as if I were a child. Sadly, one of the scariest moments of my life.
Later, when we were watching a movie trying to go to sleep to it, or I should say my friend was, my arm was shaking. My friend was asleep not that long after the beginning of the movie, and when the movie ended and the room was dark and I became scared again.  When morning came my eyes were really really red, and I felt tired but was really awake. My eyes hurt for the rest of the day until I went to sleep at 4 pm.
This ritalin 'high' led to other things. I started drinking with friends, then started smoking pot, all of the time, before school every day and in school bathrooms about 2 times a week. I spent 500 bucks of my confirmation money on it and other stuff. I have quit pot now, for my parents test me a lot pissed off that I did it (caught me growing it). I remembered the ritalin high and started doing that again up at the bmx track in my town. I came back from there once with a mini m and m's container half filled with powder in my pocket, and when my dad saw cigs in my pocket, he pushed me up against the car and searched me. He found the ritalin, poured it out onto the sidewalk, and called the cops. My mom took the phone and told the cops to nevermind, luckily. I convinced my parents I was trying to sell it, and now they act as if it never happened. I stopped doing ritalin after that for a while.
 I then started snorting ritalin again. I do it in class, behind my bookbag when I am coming down. This has been going on for weeks now.  I always carry crushed pills wrapped in tin foil with markings of how many mg's are in them, for me and whoever i can find to do it with me. I do it at home by myself every day. I snorted some before going on this website today.
I looked up stories of people that do this with ritalin, and find many of them get addicted. I now know I am addicted, which made me decide to write this and tell people not to get into this if you get addicted to things easily. My dad is an alcoholic, same with many other family members (uncles and shit). An addictive personality runs in my blood.  I realize that many of the times I snort the ritalin, it isn't even fun for me half the time, it just gives me some strange satisfaction.
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.


|
|
uint32_t | reserved1 |
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uint32_t | rsp0l |
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uint32_t | rsp0h |
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uint32_t | rsp1l |
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uint32_t | rsp1h |
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uint32_t | rsp2l |
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uint32_t | rsp2h |
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uint32_t | reserved2 |
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uint32_t | reserved3 |
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uint32_t | ist1l |
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uint32_t | ist1h |
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uint32_t | ist2l |
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uint32_t | ist2h |
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uint32_t | ist3l |
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uint32_t | ist3h |
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uint32_t | ist4l |
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uint32_t | ist4h |
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uint32_t | ist5l |
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uint32_t | ist5h |
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uint32_t | ist6l |
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uint32_t | ist6h |
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uint32_t | ist7l |
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uint32_t | ist7h |
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uint32_t | reserved4 |
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uint32_t | reserved5 |
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uint16_t | reserved6 |
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uint16_t | iomap |
| |
The documentation for this struct was generated from the following file:


Welcome to Bootstrap
Welcome to bootstrap
Bootstrap helps in
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helps in styling


Mission: Impossible 2 (2000) Tom Cruise, Thandie Newton, Dougray Scott, Ving Rhames, Richard Roxburgh, John Polson, Brendan Gleeson, Rade Sherbedgia, (uncredited) Anthony Hopkins. Music by Hans Zimmer. Story by Ronald D. Moore and Brannon Braga. Screenplay by Robert Towne. Directed by John Woo. 127 minutes. Rated PG-13, 3 stars (out of five stars)
Review by Ed Johnson-Ott, NUVO Newsweekly www.nuvo.com Archive reviews at http://us.imdb.com/ReviewsBy?Edward+Johnson-Ott To receive reviews by e-mail at no charge, send subscription requests to<EMAIL_ADDRESS>or e-mail<EMAIL_ADDRESS>with the word "subscribe" in the subject line.
The DVD format is perfect for a film like "Mission: Impossible 2." Through the wonders of DVD, you can savor the thrilling opening scenes, hop, skip and jump through the sluggish center section, then enjoy the walloping non-stop action of the last 40 minutes or so of the feature. Just for the hell of it, you could even use the fast forward button to boost the various slow motion shots back to normal speed (which would likely make the film a good 10 minutes shorter). Of course, "M: I-2" won't be available on DVD for six to eight months, so, in the meantime, viewers will just have to suffer through the dull stuff in exchange for the juicy moments. It's a fair trade.
"Mission: Impossible 2" marks the much anticipated meeting of legendary action Director John Woo ("Face/Off", "Broken Arrow"), Tom Cruise and the "M:I" franchise. Woo hurls every one of his trademarks into the fray: martial arts, gorgeous slo-mo, birds taking flight, billowing clothing, swirling camerawork and operatic violence, all set to a thunderous score. In fact, Woo even winks at the audience this time around: During one particularly tense scene, he positions sitting birds around darkened hallways, making us wonder when they will take Woo-flight and reveal our furtive hero's presence to the bad guys.
Where the first "Mission: Impossible" suffered from an overcomplicated plot, matters are more straightforward this time around. Impossible Mission Force agent Ethan Hunt (Cruise) finds his vacation interrupted by a crisis of potentially global proportion. Renegade agent Sean Ambrose (Dougray Scott) is out to steal a horrific Ebola-like virus called Chimera, developed by an evil pharmaceutical company so they can cash in on the antidote. To aide in his quest, Hunt recruits super thief Nyah Hall (Thandie Newton), Ambrose's former honey-bunny. Needless to say, Hunt and Hall become an item almost immediately. With veteran computer expert Luther Stikell (Ving Rhames, the only actor besides Cruise to return from the first film) providing backup, the chase is on.
The film opens in high style, with a confrontation above the clouds that guarantees that "M: I-2" will never be shown as an airline movie. Cut to Ethan Hunt on holiday, climbing a beautiful, harrowing red rock face thousands of feet above the earth (Cruise insisted on doing his own stunt work for the scene and the result is unusually exhilarating). After Hunt receives his mission instructions (delivered by Anthony Hopkins in an uncredited cameo), Woo jumps to the titles, then to stars, then to Spain for the next sequence, which introduces Thandie Newton. It's a great beginning, followed, unfortunately, by a long draggy stretch. Aside from a playful car chase, not much happens for far too many minutes.
Beyond the laborious plot mechanics, there are relationship problems. While Cruise and Newton make a fine couple, Ethan Hunt and Nyah Hall bond too quickly to create a sense of emotional weight. The instant intimacy between the pair hurts the later proceedings; each of them is willing to make enormous sacrifices for the other, but it doesn't quite feel credible. To a lesser degree, Hunt and Ambrose suffer from the same trouble. We see a fury between them that goes beyond the simple good guy-bad guy dynamic, but the source of the intense personal animosity is not explained. A little more information would have helped enormously.
Instead, we get seething looks and a dull mid-section, with the wonderful Ving Rhames relegated to the background to keep the lead hero, the lead heroine and the lead villain squarely in the spotlight. Despite the rubber masks and messages that will self-destruct in five seconds, this film is more 007 than Impossible Missions Force, with Tom Cruise as the Bond du jour. While Cruise is more than up to the task, I missed the teamwork that made the TV series (does anyone even remember the TV series at this point?) so much fun.
For the last 40 minutes of "M: I-2," John Woo pulls out all the stops and delivers the kind of action that should have been spaced throughout the entire film. The man remains a master of style, as evidenced by the flames reflected in Ambrose's eyes, a single bird flying through a fiery door and a phenomenal motorcycle duel. Woo needs to be careful – if he continues repeating stock flourishes, he risks self-parody – but for this film, they still pay off. "Mission: Impossible 2" lacks emotional punch and the center section sorely tried my patience, but the film remains a hell of a ride.
© 2000 Ed Johnson-Ott
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Adult Education Budget
| Baseline | £4247028 |
| 19+ continuing learners | -£51438 |
| 2017 to 2018 allocation | £4195590 |
| August 2017 to March 2018 | £2628537 |
| April 2018 to July 2018 | £1567053 |
| Baseline | £4247028 |
| 19+ continuing learners | -£51438 |
| 2017 to 2018 allocation | £4195590 |
| August 2017 to March 2018 | £2628537 |
| April 2018 to July 2018 | £1567053 |


Wunderlist 2.0
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class RadioLink:
This class is used to model radio link properties and behabiour.
| Method | __init__ |
Undocumented |
| Instance Variable | id |
Undocumented |
| Instance Variable | linkQuality |
Undocumented |
| Instance Variable | ue |
Undocumented |
| Instance Variable | totCount |
Undocumented |
| Instance Variable | maxVar |
Undocumented |
| Method | updateLQ |
This method updates UE link quality in terms of SINR during the simulation. This is a PEM method. |
This method updates UE link quality in terms of SINR during the simulation. This is a PEM method.
During the simulation it is assumed that UE SINR varies following a normal distribution with mean value equal to initial SINR value, and a small variance.


Name
main
HPL main timing program.
Synopsis
#include "hpl.h"
int
main();
Description
main
is the main driver program for testing the HPL routines. This program is driven by a short data file named "HPL.dat".
See Also
HPL_pdinfo
,
HPL_pdtest
.


GitLab Extension Settings
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During a recent trip to Amsterdam I came across a herb called Ma Huang or Ephedra in 'Smartshops' that sold other products like mushrooms, mescaline and DMT. I was told that these 'supercaps' were the strongest Ephedra containing product and contained 50mg of Ephedrine extract standardized. I decided to purchase 8 capsules and head on to a coffee shop where I dropped 4 with a beer and a skunky spliff. I went about my day until about 2 hours I felt a sudden rush of energy, like coming up on E. This lasted for about half an hour and leveled off to a nice speed/coke like high with tingling sensations running from my head to my toes.
A few hours later I dropped the other 4 and went to a dance club, where I danced for hours. On returning to the hotel in which I was staying I could not sleep and spent the entire night smoking weed and hash. I eventually got 2 hours sleep before having to check out the hotel at mid day and felt reasonably O.K. It wasn't till I got outside I realised how bad I felt. The strain these caps put on the heart and its muscles were quite bad and I could not eat the entire day.
These things definitly do work, but just because they are 'herbal' does not mean they are safe to use. I would prefer to drop an 'E' than go through that again. I thought my heart was seriously going to explode.
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.


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Buhari celebrates 'influential' nephew Mamman Daura at 80
by Premium TimesPresident Muhammadu Buhari has celebrated his influential nephew, Mamman Daura, as he clocked 80 on Saturday.
Mr Daura, the son of the president’s late sister, is known to be one of the closest individuals to Mr Buhari, having a relationship dating to their childhood days, according to both families.
He has been long rumoured as exercising tremendous influence on Mr Buhari’s government and being a member of a so-called kitchen cabinet that advises on everything, from those who see the president daily to those who become ministers.
That closeness has however pitted the former journalist against the first lady, Aisha Buhari, who recently confirmed there was a power struggle within the presidential villa.
In a statement Saturday, Mr Buhari said Mr Daura’s “footprint on the development of the country, and quintessential attention to family values, will always be remembered and appreciated.”
Read the full statement by the presidential aide, Garba Shehu, below:
PRESIDENT BUHARI CELEBRATES NEPHEW, LONG TIME FRIEND, MAMMAN DAURA AT 80
On the auspicious occasion of 80th birthday of Baba Mamman Daura, November 9, 2019, President Muhammadu Buhari joins all family members and friends of the veteran journalist in celebrating the milestone, congratulating him for many years of love and sacrifices for the nation, especially in his chosen career, journalism.
President Buhari recalls, with delight, Daura’s remarkable brilliance from childhood at the Katsina Middle School and Government College which caught the attention of Northern Regional Government, leading to sponsorship for further studies in the United Kingdom in the 50’s and many years to follow, noting that the knowledge had, overtime, only translated into more wisdom.
The President rejoices with the renowned journalist and bibliophile, who worked with the civil service for a while before joining the New Nigerian newspapers, where he rose to be Editor and Managing Director, before venturing to the private sector as entrepreneur, inspiring industrial growth in the north in furniture making, textile manufacturing, aluminium smelting and other investments.
President Buhari assures Daura that his footprint on the development of the country, and quintessential attention to family values, will always be remembered and appreciated, extolling him for the visionary role he played in the banking sector and management of companies, and development institutions.
The President prays that the Almighty God will grant longer life to the elder statesman, and more strength to keep pursuing his number one passion of serving humanity, especially through philanthropy.
Garba Shehu
Senior Special Assistant to the President
(Media & Publicity)
November 9, 2019


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--- layout: default title: "Ed." ---
This site is a collection of editions of several Old French texts.


Titan- Secure - A Secure Cold Chain and Anti-Counterfeiting
Solution - Leveraging IoT & Blockchain
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General Information
- Breed Purpose
- Ornamental
- Comb
- Single
- Broodiness
- Frequent
- Climate Tolerance
- Heat
- Egg Productivity
- Low
- Egg Size
- Small
- Egg Color
- Light Brown
- Breed Temperament
- Friendly, Easily handled, Calm, Bears confinement well, Quiet, Docile
- Breed Colors/Varieties
- This breed is not standardized yet. The Serama Council of North America is working towards ABA and APA acceptance of the white serama first. The currently recognized colors of the SCNA are White, Blue, Wheaton, Black-Breasted Red, Black, and Black-Tail Buff. These should be recognized by the ABA and APA after the white serama. A popular variety of the serama is the silkied serama. They are accepted at SCNA sanctioned shows.
- Breed Size
- Bantam
The Serama breed originated in Malaysia, apparently through the crossing of Japanese and Malaysian bantams. The modern breed is attributed to the efforts of Wee Yean Een from Kelantan, who named the breed "Serama" after Rama, the title of the Kings of Thailand. There are no written standards for the breed in its native country, though they do have an overall guide on scoring and judging for competitions in Malaysia. Many breeders have a style or type that they breed to, but breeders often keep several "styles". Hence there is quite a lot of diversity in Malaysia.
In the USA, the Serama breed is promoted by a couple organisations, the The American serama association (ASA) and the Serama Council of North America (SCNA). This council helped to introduce the Serama to North America in various National Poultry shows. In the spring of 2004 a Serama only-show, known as the Cajun Classic, in Baton Rouge, Louisiana was held. The "American Serama" as put forth by the Serama Council of North America has gained acceptance by the APA and the American Bantam Association, as of April 2011. In early 2012, another group known as the American Serama Association was formed to help gain APA and ABA acceptance of more varieties of Serama.
In the UK, Seramas were initially imported in 2004. Birds were imported from both the US and directly from Malaysia. In 2005, a small group of Serama owners and enthusiast decided to form the "Serama Club of Great Britain", the first Serama club in the UK. They went on to established the standard for the Serama breed for the UK. Seramas are still relatively rare and expensive in much of mainland Europe, with the Netherlands probably having the largest number of Seramas outside the UK. Most of the stock in the Netherlands are descendent from birds/eggs imported from America and from the UK.
In France and other European countries they are increasing in popularity with 4 classes of serums.
Serama eggs
Serama chick
Serama hen
Serama rooster
To learn more about this breed and their owners' and breeders' experiences with them, see our breed discussion here: https://www.backyardchickens.com/threads/chicken-breed-focus-serama.1110870/


#include "process/plan.hh"
#include "process/runner.hh"
#include "process/factory.hh"
#include "process/current.hh"
#include "process/library.hh"
Go to the source code of this file.


This page allows calculation of the data in the Sight Reduction
Tables for Marine Navigation (Pub. No. 229).
The main purpose of this calculator is to facilitate the practice
of celestial navigation at sea. A secondary purpose is to
provide the solutions of a spherical triangle of which two sides
and the included angle are known and it is necessary to find the
values of the third side and adjacent angle.
|


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CHAPTER 19
THE DEPARTURE
ESTONIA pulled back from her berth on 27 September 1994 between 19.15 and 19.30 hours.
According to the JAIC the vessel departed at 19.15 hours which is said to be a compromise between the Swedish/Finnish and the Estonian Commis-sion members. While the Estonians insisted on 19.00 hours at the beginning (because the departure time has effect on the speed), the Swedes and the Finns referred to the statement of Bengt Nilsson - see Enclosure 20.238 - who had testified as follows:»The vessel left the berth when they entered the restaurant, thus it must have been 19.30 hours or later, because the restaurant only opens at 19.30 hours.«
Andi Meister has written in his book "The Unfinished Logbook", chapter 7, page 118, that the time 19.15 hours for ESTONIA's departure could be found in the logbook of the harbour master of Tallinn.
Upon departure the vessel's trim was said to have been 0.5 m by stern and she had a list of 1° to starboard, although the port heeling tank was full and the starboard heeling tank was said to have been empty and in spite of the fact that gale force winds had been forecasted from SW-ly direction, i.e. from port side, thus increasing the starboard heel without any possibility to counteract. When interviewed in 7/1996 motorman Elmar Siegel stated in this respect:Q: "Did "Estonia" leave Tallinn with some list?"
A: "Yes, a list to starboard. Leiger (chief engineer) had phoned the engine room and asked whether it was possible to correct it. It was a mistake made during loading. The tank at the side, which would have to be filled to correct the list, was already full and the tank at the other side was already empty. Therefore we had no possibility to correct the list. It was 1°-2° and due to the waves up to 3°-4°."
The full wording of the interview is attached as Enclosure 13.192.According to the crew member - car deck worker Valdur Matt - the bow ramp and visor were properly closed and secured. He was probably the one who moved the turnable forward parts of the bow-ramp rails into backward position and who secured both parts by putting the pins into the respective holes before the bow ramp was lifted up.
Also the passenger Mikael Öun and others have stated that the visor was definitely closed or, at least, looked closed from the open 8th deck when the ESTONIA pulled back from her berth. Thereafter the passengers left the open deck because it was windy and uncomfortable.
Since 17.00 hours on the same day the ferry SILJA FESTIVAL had been berthed opposite the ESTONIA as pictured below.
In the cafeteria of SILJA FESTIVAL on the 4th deck a Finnish Doctor was having coffee with his son and thereby observed the unberthing manoeuvre of the ESTONIA. Her report - submitted to the Finnish part of JAIC on 10.01.95 and received by this 'Group of Experts' only in December 1998 - reads as follows:
»On Tuesday, 27 September 1994, at 13.00 hours, I boarded the SILJA FESTIVAL in Helsinki for a 24-hour cruise. I was accompanied by my son and we had a cabin together. The ferry arrived at Tallinn at 17.00 hours the same day for a 4-hour stay. Most of the passengers went ashore, but I stayed on board with my son and we were walking around the vessel. At about 19.00 hours I was together with my son in the cafeteria on the 4th deck having coffee. I saw through the window that a vessel with the name ESTONIA was leaving the harbour at a distance of about 20-25 m away from us. I knew the vessel from previous times..... The weather was overcast and it was blowing moderately ....... The day was just at dusk. I saw the vessel moving backwards from her berth and saw that her bow visor was open. It seemed to me that it was not fully open, but only half ....... I watched the ESTONIA for some minutes whereafter her foreship disappeared from my view. I did not see whether the vessel's so-called inner door was closed. While the vessel resumed her voyage I saw that both stern ramps were closed. I followed ESTONIA's departing for about 5 minutes whereafter the vessel disappeared into the darkness.
I mentioned to my son that the bow visor stood open and told him that for the same reason a Belgian vessel had sunk some time ago. I was informed by crew members of our vessel on the next morning at about 10.00 hours that the ESTONIA had sunk.«
The complete statement is attached as Enclosure 19.236.
The above drawing shows ESTONIA with half open visor. This means that the crew apparently at first closed the visor while the vessel proceeded backwards from the berth and, subsequently, when she had turned inside the breakwater opened it again to a certain extent, possibly half, and passed the breakwater in that condition.
The explanation for this somewhat unusual behaviour was most probably the impossibility for the crew to close the bow ramp completely, i.e. the ramp was closed by the actuators to about 4-5 cm, whereafter normally the two ramp hooks would engage the mating lugs at the upper part of the ramp and pull the ramp tight against the rubber packings, whereafter the securing bolts would move one after the other into mating pockets at the ramp; This was, however, no more possible due to the severe twisting/misalignment of the ramp. This is subsequently explained in detail in Subchapter 29.2, viz.:(a) the port upper pocket was intact and only slightly bent towards the centre-line of the ramp with metal at both sides of the pocket slightly ripped which was probably caused by the bending; the bolt was fully extended and about 100 mm below the pocket;
(b) the port lower pocket was found to be intact with the bolt only partly extended and about 100 mm below the pocket;
(c) The starboard upper pocket was noted to be without cover plate which had been burnt off by the crew in the morning of 27 September 1994 after arrival when it turned out to be impossible to open the bolt; the bolt was fully extended; there was apparently no misalignment between bolt and pocket;
(d) the starboard lower pocket was crushed together to the effect that the bolt - noted to be fully extended - could never have entered the pocket.
Consequently it has not been possible for the crew to secure the bow ramp at all by its four securing bolts. The same refers to the port ramp hook which could not engage its mating lug at the ramp, due to the misalignment of the port ramp side as it was demonstrated already by the distance of ca. 100 mm between the mating pockets and bolts. The obvious fact that the port ramp hook had never engaged its mating lug is further confirmed by the intact hook and the intact, unbroken lug. Both hook and lug are visible among other things on the diver video B40a. - See also Subchapter 34.6.
The starboard ramp hook, however, is nowhere visible and the location where it should be, is empty. It has thus to be assumed that also this hook had not engaged its mating lug at the ramp, which means that the ramp had just been closed by the actuators - as stated before - to an remaining opening of 4-5 cm.
Due to several mooring ropes and two wires found in way of the ramp and respective indications on the ramp - see Chapter 29.2 - it has to be assumed that the crew tried to close the ramp completely by means of mooring ropes and/or wires probably pulled tight by means of the mooring winches on the forecastle deck.
Subsequently the visor was closed and locked - see Subchapter 29.2 and Chapter 30 - while the ferry proceeded already outside the breakwater towards the VTS between the Island Nayssaar and the mainland on her last, fatal voyage in a condition which shall again be summarised as follows:
- Severely damaged and misaligned visor, which at sea quickly filled up with water to the outside level, which was also insufficiently locked and secured, and the hinges of which were considerably pre-damaged and weakened, in particular the starboard hinge.
- Severely damaged and misaligned bow ramp, which was not locked at all but most likely held by one or more mooring rope(s)/wires, which was open to the water-filled visor, with the port hinges being broken and the ramp detached from the vessel at this side.
- The car deck loaded with only partly or not all secured trucks/trailers and other vehicles.
- The port heeling tank full while the starboard one was allegedly empty, a condition depriving the vessel's command subsequently of being able to counteract when the vessel's starboard heel increased due to the forecasted wind pressure on the port side.
- One or more ballast water tanks and/or void spaces being holed/leaking and consequently open to sea. In short, the ferry ESTONIA was in many respects unseaworthy when she departed from her home port for the last time as it is also demonstrated by the images below.
(click for full page image)


 It belongs to the ever-increasing group of post-Tarantino road pictures, where a modern-day Bonnie and Clyde go on the run, mouthing pseudo- clever dialogue while the body count piles up. Inevitably, they are being chased by both the good guys and the bad guys, and the final confrontation usually involves gunplay and bloodshed. But, while KISS OR KILL strives for the relatively modest goal of being an Australian TRUE ROMANCE, it never quite ascends to that level, remaining instead mired in the pit that claimed titles like LOVE AND A .45.
The first problem with KISS OR KILL is that there aren't any vital characters. To be sure, Nikki (Frances O'Connor) and Al (Matt Day) are attractive, but they spend the film's 90-minute running time inhabiting lifeless husks. These two are deadly dull, and, despite a few heated sex scenes, there's no evidence of any chemistry between them. Their pursuers, a pair of bumbling cops (Andrew S. Gilbert and Chris Haywood) and a pedophile ex-soccer star named Zipper Doyle (Barry Langrishe), are no more interesting. Along the way, we have the usual gallery of oddballs, including a recluse (STRICTLY BALLROOM's Barry Otto) who shows up everywhere and a motel owner who uses a blow torch to keep the fondue warm.
When the film opens, our heroes, Nikki and Al, are in the process of pulling a scam on a businessman -- she takes him to a motel room, drugs him, then lets her partner in so that the two of them can clean their victim out. Only this time, something goes wrong, and the businessman dies. Panicking, Nikki and Al flee the scene with a video tape in their possession that shows Zipper Doyle in bed with a little boy. Soon, they're involved in a cross-country chase. Only, every place they stop for the night, someone turns up dead. Distrust worms its way into their relationship as Nikki and Al begin suspecting each other of being a little too handy with a knife.
In an unsuccessful attempt to energize his film, director Bill Bennett employs an irritating form of jump-cutting that compresses time. The effect is interesting on the first few occasions when he uses it, but, like a child infatuated with a new toy, he overdoes things. Soon, this peculiar form of editing becomes both distracting and off-putting. Sadly, Bennett's stylistic riffs may be the most intriguing aspect of a film that feels gratingly over-familiar. In fact, my complaints about this movie are similar to those I voiced for A LIFE LESS ORDINARY, except that picture was somewhat better made.
Frances O'Connor and Matt Day, reunited here from LOVE AND OTHER CATASTROPHES, are appealing performers, but there's little that they, or anyone else, can do with this script, which, by trying to be too hip and kinetic, ends up being simply muddled. There is one great moment, however, and, while it's not worth sitting through the movie for, it will stand out for anyone who sees the film. The scene in question doesn't involve the leads, but features the two cops. It begins like something from PULP FICTION, with one man explaining why he doesn't eat bacon. Where the conversation goes, and how it ends, is borderline- hysterical.
Bill Bennett's last feature was the lifeless TWO IF BY SEA, and KISS OR KILL doesn't represent much of a step in the right direction. The films have some plot and character similarities, but the most obvious shared trait is that neither is particularly enjoyable. Viewing KISS OR KILL is more of a trial than a pleasure, and, while it isn't terrible film making, there's nothing here worth getting excited about. Even those with a fondness for this overpopulated genre may find that Bennett's picture is one too many.
Copyright 1997 James Berardinelli
- James Berardinelli e-mail<EMAIL_ADDRESS>Now with more than 1300 reviews... The ReelViews web site: http://movie-reviews.colossus.net/
"For me, the cinema is not a slice of life, but a piece of cake."
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| list_of_values = a list of comma delimited values (strings must be inside quotes) |
|
Data is used to create neat, comma delimited lists of values of a constant nature that you will be reading (and probably reusing) during the execution of your game. You may store level information (number of enemies, stars, etc) there or just about anything you can think of! You can easily mix datatypes (strings, integers, floats) in your Data statements, as long as they are read properly with the Read command later. You will need to use the Restore command to point to the .Label that begins your Data statements. See the related commands for more information and more examples.
See also: Read, Restore. |
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Print "Here we go!"
; Restore to the start of the Data statements Restore startData ; Get the first number which is the total number of users Read Users ; Print them all! For T = 1 To Users Read firstname$ Read age Read accuracy# Read lastname$ Print firstname$ + " " + lastname$ + " is " + age + " years old with " + accuracy# + " accuracy!" Next While Not KeyHit(1) Wend End .startData Data 3 Data "Shane", 31, 33.3333, "Monroe" Data "Bob", 28, 12.25, "Smith" Data "Roger", 54, 66.66, "Rabbit" |