This is the first hands-on lab for Application Container functionality. These labs are in the "EasyLab" format, simulating what you might type in SQLPlus or SQLcl, but saving you the effort and distraction of transcribing from a workbook, so you can focus on what is happening. With EasyLab scripts, simply start the script, read what's happening and press [Enter] when ready to execute the next batch of commands. Ample explanation accompanies these commands to explain what we're doing. For this series of labs, we will follow the story of Walt's Malts "From startup to starship!" An established security best practice is to use a surrogate for SYSTEM. In these labs, the surrogate user is c##System, with privileges dba, sysoper, create session, set container. Let's get started!
Phase 1.1. Create and Open master Application Root.
Phase 1.2. Provision the App PDBs for each Franchise.
So far, we've created an application root and an application seed. We have created application PDBs for the first four franchises. Next, we have to install the master definition of the application wmStore (Walt's Malts Store) and sync the tenant (franchise) PDBs. Let's get on with that...
Connect to c##System (SYSTEM's surrogate).
Begin the master application definition.
Create a tablespace for the application data.
Setup the application common user for the schema.
Connect to the common user / application schema owner Ð wmStore_Admin
What now follows is the standard installation script for the application. Note that this is basically unchanged from the application installation script that would have been run for a standalone installation in a non-CDB.
Define the application schema.
Create seed data.
In the preceding section we installed the master application definition in our application root, wmStore_Central. This process started with the statement:
alter pluggable database application wmStore begin install '1.0'
Following this we had a standard application installation script. We now have to designate the end of the master application definition.
End the master application definition.
With Application Container, we only need to define the application once. Tenant (franchise) PDBs are simply "sync'ed" with this master definition. This is simply a matter of connecting to each tenant (franchise) PDB in turn and issuing the sync command.
Let's do that now.
We have now synchronized the application definition in each tenant (franchise) PDB with the master definition. Now we'll go to each tenant PDB in turn and add some franchise-specific data. This is for demonstration purposes only. This is not part of the application definition. It merely simulates the creation of data which in the usual course of events would be defined through the application itself. This demo data will be added by the execution of scripts.
In this lab, we have worked through the following stages:
1. Setup Application Container, including:
Application Root Ð wmStore_Central
Application Seed
Application Tenant PDBs for four franchises:
- Tulsa
- California
- Tahoe
- NYC
2. Install v1 of Application wmStore in Application Root.
3. Synchronize all Application Tenant PDBs.
4. Populate Application Tenant PDBs with demo data.
This demonstrates how Multitenant with Application Containers delivers an "Instant SaaS" architecture, for an application definition previously architected for standalone deployment. You are now encouraged to execute some queries against the various franchise PDBs. Sample queries can be found in file Lab1_Queries.sql.
Phase 5: Queries
In this lab we upgrade Application wmStore from v1 to v2. Despite each franchise having a separate tenant PDB, there is only one master application definition to be upgraded Ð in Application Root. We run the upgrade script only once, against the Application Root. It is then simply a matter of synchronizing the tenant PDBs for each franchise for them to be upgraded to the new version. Note that this model allows for granular (per tenant/franchise) upgrade schedules.
Let's get started!
Connect to c##System (SYSTEM's surrogate).
Begin the master application upgrade.
Connect to the common user / application schema owner Ð wmStore_Admin
What now follows is the standard upgrade script for the application.
Note that this is basically unchanged from the application upgrade
script that would have been run for a standalone installation in a non-CDB.
Phase 1a: Upgrade Schema.
Phase 1b: Upgrade Seed Data.
In the preceding section we upgraded the master application definition in our application root, wmStore_Central, from v1 to v2. This process started with the statement: alter pluggable database application wmStore begin upgrade '1.0' to '2.0' Following this we had a standard application upgrade script. We now have to designate the end of the master application upgrade.
End the master application upgrade.
With Application Container, we only need to upgrade the application once. Tenant (franchise) PDBs are simply "sync'ed" with this master definition. This is simply a matter of connecting to each tenant (franchise) PDB in turn and issuing the sync command. Let's do that now.
We have now synchronized the application definition in three of the four tenant (franchise) PDB with the master definition. Franchise NYC has not yet upgraded. Let's confirm that there are now different application versions in use. To do this, we'll connect to one franchise that has upgraded, and look at definition of a table changed in the upgrade. Then, we'll connect to the franchise that has not upgraded, and confirm that the old table definition is still in effect there.
First, connect to Franchise Tulsa and look at the table definition there.
Show definition of table wm_Products.
Now, connect to Franchise NYC and look at the table definition there.
Show definition of table wm_Products.
Now it's time to upgrade Franchise NYC
We have now synchronized the application definition in each tenant (franchise) PDB with the master definition.
In this lab, we have worked through the following stages:
1. Upgrade application wmStore to v2.
2. Synchronize all Application Tenant PDBs.
An important advantage of Multitenant, with Application Containers is that, as we've seen, we have the opportunity to upgrade individual tenants / franchises on their own schedule if appropriate. This demonstrates how Multitenant with Application Containers allows an Application administrator to Manage many tenants as one.
In Lab3 we introduce a very powerful cross-container aggregation capability Ð containers() queries. Containers() queries allow an application administrator to connect to Application Root and aggregate data with a single query across multiple Application Tenants (Franchises) Ð or across all of them. This is another example of how Multitenant, with Application Containers allows you to manage many Application Tenants as one, when needed. You are now encouraged to execute various queries some queries against the various franchise PDBs. Sample queries can be found in file Lab3_Queries.sql.
Containers() Queries
In this lab we follow the global expansion of Walt's Malts. In order to comply with requirements of data sovereignty and latency Walt's Malts has had to expand into a second CDB, CDB2. (In reality this would be in a separate server.) It is then simply a matter of synchronizing the tenant PDBs for each franchise for them to be upgraded to the new version. Note that this model allows for granular (per tenant/franchise) upgrade. schedules. Let's get started!
Connect to CDB2's Root.
Create the CDB$Root-level DB Link.
Create the Application Root Replicas (ARRs).
In the previous section we have done the following:
1. Connect to CDB2's Root.
2. Create the CDB$Root-level DB Link.
3. Create and open the Application Root Replicas (ARRs).
Application Root Replicas are required to serve metadata for Application Tenant (Franchise) PDBs in remote CDBs. This is because it is not realistic to assume continuous very low latency access across the internet to a remote Application Root. Next, we create Proxy PDBs for these Application Root Replicas in the Master Application Root.
Let's proceed...
Connect to CDB1's Root.
Create the CDB$Root-level DB Link to CDB2.
Connect to wmStore_Central as C##System.
Create the Application-Root-level DB Link to CDB2.
Create and open the Master Application Seed PDB.
Create and open Proxy PDBs for the Application Root Replicas.
Now, with additional capacity (in the right geographic location) we are ready to create additional Application PDBs for the new tenants / franchises added during the international expansion of Walt's Malts. The next several steps accomplish this.
In this phase we need to do the following:
1. Connect to the appropriate Application Root Replica (ARR)
2. Create a database link from that ARR to the CDB of the Master Root.
3. Provision Application PDBs for each tenant / franchise as needed.
Phase 3a. Application Root Replica Ð wmStore_International.
Phase 3b. Application Root Replica Ð wmStore_West.
Phase 3c. Switch to the CDB Root and open all new PDBs.
Next, we need to sync all these new PDBs with the master application definition. Note that this happens via the Application Root Replica (ARR) Proxy PDBs. The Proxy PDBs are local to the Master Application Root. They synchronize with the master application definition just like local Application PDBs. However, Proxy PDBs provide local context for a remote PDB. In this case, this is the Application Root Replicas. In this way, the master application definition is propagated to the Application Root replicas. Then, in turn the Application PDBs for these new tenants / franchises can be synced with their corresponding Application Root replicas. The next several steps accomplish this.
Phase 4a. Sync Application Root Replicas via their proxies.
Phase 4b. Sync Application PDBs for new tenants / franchises.
We have now synchronized the application definition in each new tenant (franchise) PDB with the master definition. Now we'll go to each tenant PDB in turn and add some franchise-specific data. This is for demonstration purposes only. This is not part of the application definition. It merely simulates the creation of data which in the usual course of events would be defined through the application itself. This demo data will be added by the execution of scripts.
In this lab, we have worked through the expansion of the application beyond a single CDB. This followed the following stages:
1. Create Application Root Replicas (ARRs) in the other CDB.
2. Provision new Application PDBs for new franchises.
3. Create Proxy PDBs for the new ARRs in the Master Application Root.
4. Synchronize the ARRs with the Master Application Definition via their
proxies
5. Synchronize the new Application PDBs with the Application definition
in their ARRs.
6. Add some demonstration data in the new franchise PDBs.
It is very important to note that we still only have a single master application definition, despite the application now being deployed across multiple CDBs.
Lab5 demonstrates "durable location transparency". In Lab4 we saw how Proxy PDBs can provide location transparency. The Proxy PDBs for the Application Root Replicas (ARRs) provided local context (in the master Application Root) for the ARRs, which are physically located in a different CDB. This is a good example of location transparency. In this lab, we see how these ARR Proxies can provide "durable location transparency. That is, location transparency that survives the physical reconfiguration of the Application Estate Ð specifically by relocating an Application PDB for a particular franchise from one CDB to another. Let's get started!
===========================================================================
Lab5_Campaign_Performance.sql runs a query to retrieve order volume by franchise for a specified campaign. Let's print it out. Notice that this is a containers() query, aggregating order volume across all franchises. Of course, Walt's Malts has now expanded beyond a single CDB! Notice also the use of the pseudo-column CDB$Name. This shows from which CDB the data is retrieved. Run the script to execute the query.
Now we're going to do some load balancing. We're going to relocate franchise Tahoe from CDB1 to CDB2. Specifically we're going to relocate it to ARR wmStore_West. (Perhaps we could also think of this operation in terms of moving the Application PDB to the physically nearest CDB to minimize latency.) Here we'll use the PDB relocate capability, demonstrated in other Labs.
Remember that PDB relocate is a "pull" operation. Therefore we need to connect to the target ARR. Initiate the online relocation of franchise Tahoe. Complete the online relocation by opening the PDB in its new location.
Now, having relocated franchise Tahoe to CDB2, we're going to re-execute our application query. Pay close attention to the results of this query and compare them to the results from the first time it was run. They should be identical, with the sole exception that data for franchise Tahoe is now retrieved from CDB2.
In this lab, we have demonstrated "Durable Location Transparency".
1. We executed some application code Ð in this case aggregating revenue across all franchises.
2. Then we relocated of the franchises to another CDB (without incurring any application outage Ð the PDB remained open read/write during this operation
3. We re-executed the same application code. It continued to work, despite the relocation of one of the Application PDBs.
In a SaaS operation we typically operate with large number of Application PDBs. On-going operations Ð load balancing, hardware refreshes, migrations to the Cloud Ð are going to involve relocation of PDBs. With this in mind, durable location transparency becomes an important capability from the perspective of high availability. Even if a database were technically available, if you can't find it (because it's moved), it might as well be offline. Durable location transparency, enabled via Proxy PDBs of Application Root Replicas (ARRs), is a very important High Availability feature.
In this lab we explore an important implementation detail of upgrades within Application Container. Application Root Clones are used to provide continuous availability of Application PDBs during the upgrade of the master Application Root. The Application Root Clones serve metadata and common data. There are no Services associated with an Application Root Clone. Therefore it is not possible to connect to an Application Root Clone. However, they are visible, as we shall see in this lab. After the upgrade has completed and all Application PDBs have been synced it is possible to drop these Application Root Clones. This is achieved by setting Application Compatibility to a higher level than the Application version associated with the Clone. When this has happened, the Application Root Clone is of no further use and is dropped. Let's get started!
Phase 1a. Show containers in CDB1. Notice the Two Proxy ARRs and one Application Root Clone.
Phase 1b. Connect to Master Application Root and set application compatible to version 2.0.
Phase 1c. Show containers in CDB1. Application Root Clones have been dropped.
In the previous section we saw the following:
1. An Application Root Clone exists (following an Application upgrade).
2. We changed Application Compatible to a version greater than the applicable version for this Application Root Clone.
3. The Application Root Clone is removed by this operation.
Now, let's look into CDB2.
Phase 2a. Show containers in CDB2. Notice the two Application Root Replicas and two Application Root Clones. (The Application Root Clone will have a rather cryptic name.)
Phase 2b. Connect to Application Root Replicas and set application compatible to version 2.0.
Phase 2c. Show containers in CDB2. Application Root Clones have been dropped.
In this lab, we have seen the Application Root Clones, automatically created during the application upgrade. By setting Application Compatible to a version greater than that of the Application Root Clones, they are no longer required and are automatically dropped.
In Lab7 we introduce the advanced concept of data sharing. We have already seen how Multitenant, with Application Containers, can provide an instant SaaS architecture for an application previously architected for standalone deployment. Technically this is done by installing a master application definition in an Application Root. Application PDBs for each tenant / franchise are plugged into this Application Root and the metadata for the database components of the Application definition is served from the Application root. However, so far all data, including data which may be considered part of the application definition ("seed data") has been local. In other words, there's a replica of this seed data in every Application PDB. various franchise PDBs. In this lab we'll see how, in addition to metadata, common data may also be shared from Application Root. To do this we'll upgrade application wmStore to v3.0 and introduce various powerful data sharing capabilities.
Connect to wmStore_Admin
In this view definition, notice the sharing clause.
Sharing = metadata is the default.
Create a new List of Values table.
For the purposes of this demo, these values will be centrally defined only. (That is, they may be thought of as "seed data" that is part of the application definition.)
The previous section includes some fairly typical application upgrade steps:
1. Add a column to a base table
2. Upgrade various view definitions to pick up this new column.
We have, however, created a new table, and specified that it's data is to be centrally defined and shared from Application Root to all application PDBs. In the next step we go through the routine exercise of adding data to this new table.
Now, things get interesting! In the next section, we convert the sharing mode of two existing tables:
- wm_Campaigns: Centrally defined (sharing = data)
- wm_Products: Centrally locally defined (sharing = extended data)
Notice how we handle the seed data. In each case, we must disable any triggers that reference data which is about to be "moved" from the application PDB to the Root. (Technically this is a delete from the application PDB, followed by an insert into Application Root. We need the delete to work.)
- Campaigns are centrally defined
- Products are both centrally and locally defined
Phase 4a. Disable constraints.
This is required because in these steps we will be deleting data from the Application PDBs and re-creating it in Application Root. We don't want the delete statements to fail because of these constraints.
Constraint wm_Orders_F1 references wm_Campaigns(Row_GUID).
Constraint wm_Order_Items_F2 references wm_Products(Row_GUID)
Phase 4b. Delete the seed data from these tables.
These statements will execute in the Application PDBs because the sharing mode of the tables is currently sharing=metadata.
Phase 4c. Change the sharing mode of these tables.
Phase 4d. Re-insert the seed data. These statements will now execute in Application Root.
Phase 4e. Re-enable constraints.
In the previous section, we converted the sharing mode of two existing tables. We have one more application upgrade step to perform. This is to update the orders to associate them with the appropriate financial quarter. (This denormalized column was added earlier in the upgrade. It's very interesting to understand how this will actually be achieved. Remember that the data in question Ð in table wm_Orders Ð is in the Application PDBs and **NOT** in Application Root. What happens here is that the following update DML statements are captured in Application Root. They are subsequently replayed in the Application PDBs for each tenant / franchise during the sync process.
The previous section included some standard DML (updates in this case) to change existing data in the normal course of an upgrade. The curiosity in this case is that the actual data to be updated is in the Application PDBs, not in Application Root. (Notice that no rows were updated by any of these steps in Application Root.) These statements are captured in Application Root, and will be replayed in the Application PDBs for each tenant / franchise when they synchronize.
We have now completed the definition of the upgrade to v3 of wmStore. As before, this upgrade script is defined in a "begin / end" block. Between the begin and end statements, much of the upgrade was a typical upgrade script. There was also some special handling to convert the data sharing mode of some of the tables. We have also seen how the steps in the upgrade script are captured in Application Root, to be replayed subsequently in the Application PDBs as they are sync'ed. The next step, therefore is to synchronize the Application PDBs for all tenants. In this lab, we'll do this by executing a script to do this in a single step.
This will be accomplished by executing a script.
Application PDBs for all tenants / franchises have now been synchronized with the latest version of wmStore. In the next step, we'll connect to a particular franchise's Application PDB and look at the data in table wm_Products. The "sharing mode" of this table was changed to "sharing = extended data" in an earlier step of this Lab. In the next step we'll see the source of the data for the various rows in this table.
Phase 7: Query products and campaigns prior to upgrade.
In this lab, we have explored the advanced concept of data sharing, through the following steps:
1. Upgrade Application wmStore to v3.0.
- Add a column to table wm_Products.
- Redefine various views to include this column.
- Add a new table to the application, defined as sharing = data.
- Change table wm_Campaigns to be sharing = data (Centrally-defined data only).
- Change table wm_Products to be sharing = extended data (Both centrally-defined and locally-defined data).
- This upgrade requires careful timing of redefinition of seed data
in these two tables. (The seed data needs to be removed from the Application PDBs and re-created in the Application Root.
- Update data in wm_Orders to set the appropriate value for the newly added denormalized column.
2. Propagate the Upgrade to all franchises.
3. Query the wm_Products table in a franchise PDB to see the sources of data.
In Lab8 we explore another location transparency technology: Container Map. Here we follow the expansion of Walt's Malts through the acquisition of a formerly independent distributor of Walt's Malts products. This company is named Terminally Chill, and their niche was selling Walt's Malts product through a number of small kiosks in various airports globally. The Terminally Chill application has a different design from the original wmStore application. Whereas wmStore was originally designed for standalone deployment, Terminally Chill used a single database to manage data for all kiosks in all airports. The application server tiers are designed to connect directly to a single database, with query predicates to retrieve data for the right airport and kiosk. In this lab, we'll see how Container Map can help accommodate applications of this design.
The key step in this lab is the next one, where we set up the Container Map, in terms of a Map table and the Container_Map database property. The container map is a table definiton where each partition name corresponds to a PDB name. You only need one column in this table that you have decided to use for partitioning the data.
2a. Define Container Map table.
2b. Define Container Map property for the database.
Notice that the Container Map is defined with Partitioning syntax. In our example, Terminally Chill, each partition listed in the Container Map is the name of an Application PDB Ð for a tenant / franchise. For each Partition / Application PDB / tenant / franchise there is a list of kiosks associated with that Application PDB. In the query section of this lab, we'll use these kiosk codes as query predicates. Container Map uses the mapping defined above to route these queries to the appropriate PDB. So this was a two-step process:
1. Create the Map table.
2. Set the Container Map property for the database.
Notice that it is not necessary to populate the Container Map table with any data.
3a. Basic Application Installation.
3b. Prepare tables to take advantage of Container Map capabilities.
Define tc_Orders as containers default and enable for Container Map.
Notice that following the standard application installation, table tc_Orders was altered to take advantage of Container Map capabilities. This is a two-step process.
1. Define the table as "containers_default". This means that a "standard" query against this table in Application Root will be converted into containers() syntax implicitly.
2. Enable Container_Map for the table. This means that queries against this table in Application Root will be routed to the appropriate PDB. The requirement is that the table definition include the Container Map column Ð Kiosk in our example.
A minor curiosity in the previous step is that application Terminal is installed alongside wmStore in the same Master Application Root, wmStore_Master.
Phase 5: Create franchise-specific products
In this lab, we have explored the Container Map feature. Container Map may be viewed as another location transparency feature. We went through several steps during this lab. Many of these are familiar, but the new concept introduced is in Phase 3, when we defined the Container Map. The steps are summarized below:
Phase 1: Setup Application PDBs for new Airport franchises.
Phase 2. Setup Container Map (Map Table and Container_Map property).
Phase 3. Install v1 of Application "Terminal". This includes setting containers_default and enabling container_map for the required tables.
Phase 4. Sync Application PDBs.
Phase 5: Create franchise-specific demonstration data.
Phase 6: Perform various queries to see how Container Map can deliver location transparency.


For fitness
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For fitness
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COMPLETE
Thank you! Your order is complete.
Your order reference is 10032532.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged.


Colossians 4:17
And say to Archippus, Take heed to the ministry which thou hast received in the Lord, that thou fulfil it.


Oh-no, Pupper!!!!!!
You Got Squirrel'd!
Try Again!

Thanks to:
Pup Ruki
, Pup Rook, Fenrir The Corgi,
Buster Brown, Brutus Wolfy, Pup Panda, and Pup Chiron!
Also, all the other pups whom I will add in time!
***WAGS***
My hooo-man dev resume
Play Again!


{% extends "layout.html" %} {% block page_title %} Money Claims Prototype {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} Back Tell us your problem with the order {{data['reject_response']}} Ask the court to review the order {% include 'prototypes/prototype-may-2019/includes/contact.html' %} {% endblock %}


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Ryu Hoshi (リュウ Ryū)
- https://www.facebook.com/profile.php?id=100004808958030
-<EMAIL_ADDRESS>- https://twitter.com/denjinryu
- https://www.instagram.com/sworn_ryu/
Résumé
― I do not compete with others, the only competition that challenges me is myself. As a fighter, friend and an employee I am known as contemplative, tortured and driven.
Experience
Recent
-
2018
Amongst many fighters of the past was featured in the movie "Ready Player One". Ryu ready always!
Back then
-
2017
United with unknown until then to me Power Rangers to defea resurrected M.Bison.Damn good fighters they are, even not knowing karate ways!
-
2016
In "Street Fighter V" once and for all erased M.Bison from earth and tamed my inner Evil Ryu. Also spent some time on a side-project, mini-series "Street Fighter: Resurrection".
-
2014
Filmed in a martial arts tutorial "Street Fighter: Assassin's Fist", revealing to audience forgotten art of Ansatsuken.
-
2012
The gods of intenet concluded me in the animated movie "Wreck-It Ralph", but rewarded me with a good drink for it!
-
2008
Borrowed my famous ripped gi to Soki in "Onimusha: Dawn of Dreams", gods informed me he needed that for the battle.
-
2006
My evil alter ego sneaked out of control and became a boss in "Street Fighter IV".
-
1998
Defeated M. Bison in "Street Fighter Alpha 2", bastard wanted to use my heroic body for his evil intentions, but retreated with shame. Also this year I encountered Marvel universe in "Marvel vs. Capcom: Clash of Super Heroes" fighter,loyal to my employer, Capcom, of course.
-
1997
Reunited with Ken, my friend and opponent in "Street Fighter III". Men's friendship works mysteriously. Also helped with Arika project "Street Fighter EX"
-
1996
Took care of villainous Akuma in "Street Fighter Alpha 2". As a freelance on "Super Puzzle Fighter II Turbo" tried myself in a new genre, puzzle games. Let the wrath of seven heavens come upon these malicious enigmas, never again!
-
1995
Kept fighting in "Street Fighter Alpha: Warriors' Dreams".
-
1994
Screened in a movie "Street Fighter", so that the batllesof past would not be forgotten by millenial generation.
-
1991
Was promoted to "Street Fighter II". Didn't stay there for long, celebrations and office dwelling is not for me!
-
1987
Started working for Capcom project "Street Fighter". My partner was Ken Masters, the boss'name was Sagat.
PUBLICATIONS
-
2011
The true and humble story of me under pseudonim Tyler Wilde in an article "The evolution of Ken and Ryu"
-
2003-2018
For 15 years I have published comic books with Udon Entertainment depicting my adventures, bitter lessons and great victories.
-
- #1 in "Top 25 Street Fighter Characters" by IGN, who also called me "fancy", "icon" and "a testament to the virtue of simplicity"
- #2 in "Top 20 Street Fighter Characters of All Time" by GameDaily, same council found me worth of #6 place in "Top 25 Capcom Characters of All Time", which I proudly share with my partner Ken
- I was named "5th Most Powerful Street Fighter Character" by Screen Rant-san
- #71 in "Top 100 Heroes of All Time" by UGO Networks, also recognized #2 in their list of "Top 50 Street Fighter Characters"
- In a survey of 4000 online matches for Super Street Fighter IV, I got to be the most popular character, with 16.6% of players choosing my side
Languages
Skills
Character
Likes😃
Dislikes😞
Education
-
Every day
Articles
None published yet


BayesSPsurv is an R package that provides functions to fit and assess the performance of the following sets of Bayesian Spatial split-population (SP) survival (cure) models:
Fit the Bayesian Spatial split-population survival model that accounts for both structural and spatial heterogeneity. Spatial autocorrelation is modeled with spatially weighted frailties, which are estimated using a CAR prior.
Fit a non-spatial Bayesian SP survival model with exchangeable frailties in the split and survival-stage equations.
Fit a non-spatial parametric SP survival model with no frailties.
BayesSPsurv uses an MCMC algorithm for Bayesian inference (Gibbs sampling and Metropolis-Hastings) to estimate the models listed above.
Scholars across multiple academic disciplines often analyze time-to-event data via conventional survival models. While useful, these models rely on two core assumptions that are not always tenable:
Not all units may experience the event of interest.
Observations may not be independent from each other after controlling for covariates.
BayesSPsurv allows users to estimate Bayesian Spatial split-population (SP) survival (cure) models with spatial frailties in both the split and survival stages. This accounts for spatial clustering in the “at risk” and “immune” populations. Users can also incorporate time-varying covariates. It also includes functions and code for pre-estimation autocorrelation diagnostics, creation of spatial weight matrix based on units and adjacencies of interest, and visualization of results, making BayesSPsurv flexible and broadly applicable to a variety of research areas.
| Function | Description |
|---|---|
spatialSPsurv |
Markov Chain Monte Carlo (MCMC) to run time-varying Bayesian split population survival model with spatial frailties. |
exchangeSPsurv |
Markov Chain Monte Carlo (MCMC) to run Bayesian split population survival model with exchangeable frailties. |
pooledSPsurv |
Markov Chain Monte Carlo (MCMC) to run Bayesian split population survival model with no frailties. |
plot_JoinCount |
Conducts Join Count tests to assess spatial clustering or dispersion of categorical variables in the data. |
plot_Moran.I |
Implements Global Moran I test to evaluate spatial autocorrelation in units’ risk propensity in the data. |
summary |
Returns a summary of exchangeSPsurv, pooledSPsurv or spatialSPsurv object via coda::summary.mcmc . |
spatial_SA |
Generates a spatial weights matrix with units and adjacencies defined by the user. |
SPstats |
A function to calculate the deviance information criterion (DIC) and Log-likelihood for fitted model oupUts. |
The latest version of the package (0.1.3
) is available on CRAN R:
install.packages("BayesSPsurv")
To install the development version from GitHub:
if (!require("remotes")) install.packages("remotes")
remotes::install_github("Nicolas-Schmidt/BayesSPsurv")
We illustrate the functionality of BayesSPsurv using data from Walter (2015)’s study on post-civil war peace duration. The data is included and described in the manual’s package.
spatialSPsurv
estimates the Bayesian Spatial split-population survival (cure) model. It includes time-varying covariates and spatially autocorrelated frailties in the model’s split and survival stage. To allow for easy replication, the example below runs a low number of iterations (N).
spatialSPsurv
Weibull model with N = 15,000 is here.
spatialSPsurv
Log-Logistic model with N = 15,000 is here.
First, load the package.
Second, we add variables that allow us to capture the survival characteristics of the data.
walter <- spduration::add_duration(Walter_2015_JCR,"renewed_war",
unitID = "id", tID = "year",
freq = "year", ongoing = FALSE)
#> Registered S3 method overwritten by 'quantmod':
#> method from
#> as.zoo.data.frame zoo
#> Warning in attempt_date(data[, tID], freq): Converting to 'Date' class with
#> yyyy-06-30
The spatial_SA
function allows users can create the spatial weights matrix as follows. Please note that users can specify their own distance threshold. In this example, we define “proximity” as having capitals that are within 800 kms.of each other.
walter <- BayesSPsurv::spatial_SA(data = walter, var_ccode = "ccode", threshold = 800L)
BayesSPsurv contains two functions that allow one to assess the presence of spatial autocorrelation in the data: plot_JoinCount
and plot_Moran.I
.
par(mar = c(4, 4, .1, .1))
plot_JoinCount(data = walter[[1]], var_cured = "cured", var_id = "ccode",var_time = "year", n = 12)
plot_Moran.I(data = walter[[1]], var_duration = "duration", var_id = "ccode",var_time = "year", n = 12)
The plots above indicate that unobserved heterogeneous risk factors factors that trascend borders may lead to spatial autocorrelation in both the consolidation and duration of post-war peace. This suggests that a Spatial SP survival model is an appropriate method of analysis.
So, we now estimate the Bayesian Spatial split-population survival model using the function spatialSPsurv
.
set.seed(123456)
model <- spatialSPsurv(
duration = duration ~ victory + comprehensive + lgdpl + unpko,
immune = atrisk ~ lgdpl,
Y0 = 't.0',
LY = 'lastyear',
S = 'sp_id' ,
data = walter[[1]],
N = 1500,
burn = 300,
thin = 15,
w = c(1,1,1),
m = 10,
form = "Weibull",
prop.varV = 1e-05,
prop.varW = 1e-03,
A = walter[[2]]
)
The generic print()
function displays the results.
print(model)
#> Call:
#> spatialSPsurv(duration = duration ~ victory + comprehensive +
#> lgdpl + unpko, immune = atrisk ~ lgdpl, Y0 = "t.0", LY = "lastyear",
#> S = "sp_id", A = walter[[2]], data = walter[[1]], N = 1500,
#> burn = 300, thin = 15, w = c(1, 1, 1), m = 10, form = "Weibull",
#> prop.varV = 1e-05, prop.varW = 0.001)
#>
#>
#> Iterations = 1:80
#> Thinning interval = 1
#> Number of chains = 1
#> Sample size per chain = 80
#>
#> Empirical mean and standard deviation for each variable,
#> plus standard error of the mean:
#>
#>
#> Duration equation:
#> Mean SD Naive SE Time-series SE
#> (Intercept) 0.5472465 0.7770281 0.08687438 0.03375775
#> victory 0.1083226 0.5791961 0.06475609 0.09381673
#> comprehensive 0.2390011 0.5841345 0.06530822 0.06530822
#> lgdpl 0.4221808 0.1185057 0.01324934 0.02161274
#> unpko 0.1617510 0.7679051 0.08585440 0.08585440
#>
#> Immune equation:
#> Mean SD Naive SE Time-series SE
#> (Intercept) -0.383487 3.797043 0.4245223 0.5575999
#> lgdpl -1.461369 1.757769 0.1965245 0.2475315
SPstats()
calculates the Deviance Information Criterion (DIC) and Log-Likelihood (LL) statistics for the estimated model.
SPstats(model)
#> $DIC
#> [1] -4783.756
#>
#> $Loglik
#> [1] 3556.558
The following lines of code allow users to substantively interpret the spatial frailties. They generate a map that helps to determine whether adjacent units share similar frailty values. Please note that the map below only illustrates survival-stage (W) frailties. Substituting W for V in the code below generates a map for the split-stage frailties.
bsps_map(data = model$W, mapTitle = "spw")
#> 46 codes from your data successfully matched countries in the map
#> 0 codes from your data failed to match with a country code in the map
#> 197 codes from the map weren't represented in your data
The function exchangeSPsurv
fits a model that incorporates nonspatial unit-specific i.i.d frailties in the model’s split-stage (Vi) and survival stage (Wi) as well as time-varying covariates in each of these two stages.
exchangeSPsurv
Weibull model with N = 15,000 is here.
exchangeSPsurv
Log-Logistic model with N = 15,000 is here.
walter <- spduration::add_duration(Walter_2015_JCR,"renewed_war",
unitID = "id", tID = "year",
freq = "year", ongoing = FALSE)
Since estimating the Exchangeable model does not require a spatial-weights matrix (A), users can type the following lines of code to prepare the data.
walter$S <- rep(x = 1:length(unique(walter$ccode)), times = rle(walter$ccode)$lengths)
country <- countrycode::countrycode(unique(walter$ccode),'gwn','iso3c')
The model is estimated as follows.
set.seed(123456)
model <- exchangeSPsurv(
duration = duration ~ comprehensive + victory + unpko,
immune = atrisk ~ lgdpl,
Y0 = 't.0',
LY = 'lastyear',
S = 'S' ,
data = walter,
N = 1500,
burn = 300,
thin = 15,
w = c(1,1,1),
m = 10,
form = "Weibull",
prop.varV = 1e-05,
prop.varW = 1e-03,
id_WV = country
)
You can generate the box-plots for unit-specific split and survival-stage frailties from the estimated model.
library(ggplot2)
w_country <- tidyr::pivot_longer(as.data.frame(model$W), cols = 1:ncol(model$W))
ggplot(w_country, aes(x = reorder(factor(name), value, FUN = median), y = value)) +
geom_boxplot(fill = 'gray') + coord_flip() + theme_minimal() + labs(x = "", y = "")
BayesSPsurv also fits Bayesian SP survival models without unit-specific i.i.d. frailties via pooledSPsurv
.
pooledSPsurv
Weibull model with N = 15,000 is here.
pooledSPsurv
Log-Logistic model with N = 15,000 is here.
set.seed(123456)
model <-pooledSPsurv(
duration = duration ~ comprehensive + victory + unpko,
immune = atrisk ~ lgdpl,
Y0 = 't.0',
LY = 'lastyear',
data = walter,
N = 1500,
burn = 300,
thin = 15,
w = c(1,1,1),
m = 10,
form = "Weibull"
)
The generic print()
function displays the results.
print(model)
#> Call:
#> pooledSPsurv(duration = duration ~ comprehensive + victory +
#> unpko, immune = atrisk ~ lgdpl, Y0 = "t.0", LY = "lastyear",
#> data = walter, N = 1500, burn = 300, thin = 15, w = c(1,
#> 1, 1), m = 10, form = "Weibull")
#>
#>
#> Iterations = 1:80
#> Thinning interval = 1
#> Number of chains = 1
#> Sample size per chain = 80
#>
#> Empirical mean and standard deviation for each variable,
#> plus standard error of the mean:
#>
#>
#> Duration equation:
#> Mean SD Naive SE Time-series SE
#> (Intercept) 3.19047012 1.1807620 0.13201321 0.45104567
#> comprehensive 0.30823578 0.7420113 0.08295939 0.08295939
#> victory 0.05918528 0.5611721 0.06274094 0.06274094
#> unpko 0.10013585 0.8112391 0.09069929 0.09069929
#>
#> Immune equation:
#> Mean SD Naive SE Time-series SE
#> (Intercept) -2.595263 6.259883 0.6998762 1.530030
#> lgdpl -1.782770 3.348600 0.3743848 1.116384
The following lines of code allow users to assess the convergence of multiple chains via the Gelman-Rubin diagnostic, which compares the variances within each chain to the variances between each chain Gelman and Rubin (1992).
library(doParallel)
library(snow)
library(doRNG)
library(coda)
workers <- makeCluster(detectCores() - 1 ,type = "SOCK", outfile = "log.txt")
registerDoParallel(workers)
inivals <- c(0, 1, 10, 50)
data(Walter_2015_JCR)
walter <- spduration::add_duration(Walter_2015_JCR,"renewed_war", unitID = "id",
tID = "year", freq = "year", ongoing = FALSE)
walter <- spatial_SA(data = walter, var_ccode = "ccode", threshold = 800L)
set.seed(123456)
ctype = rbind
t = 1
tm1 = system.time({
Out <- foreach(i = 1:length(inivals),.combine = ctype, .errorhandling = 'stop',
.packages='BayesSPsurv',
.options.RNG = t) %dorng%
{spatialSPsurv(
duration = duration ~ victory + comprehensive + lgdpl + unpko,
immune = atrisk ~ lgdpl,
Y0 = 't.0',
LY = 'lastyear',
S = 'sp_id' ,
data = walter[[1]],
N = 1500,
burn = 300,
thin = 15,
w = c(1,1,1),
m = 10,
ini.beta = inivals[i],
ini.gamma = inivals[i],
ini.W = inivals[i],
ini.V = inivals[i],
form = "Weibull",
prop.varV = 1e-05,
prop.varW = 1e-03,
A = walter[[2]])
}
})
betas <- do.call("rbind", lapply(Out[1:4], function(x) as.mcmc.list(as.mcmc(x))))
gammas <- do.call("rbind", lapply(Out[5:8], function(x) as.mcmc.list(as.mcmc(x))))
## Gelman Diagnostics
coda::gelman.diag(betas)
#> Potential scale reduction factors:
#>
#> Point est. Upper C.I.
#> (Intercept) 1.16 1.45
#> victory 1.21 1.51
#> comprehensive 1.21 1.29
#> lgdpl 1.27 1.60
#> unpko 1.15 1.19
#>
#> Multivariate psrf
#>
#> 1.07
coda::gelman.diag(gammas)
#> Potential scale reduction factors:
#>
#> Point est. Upper C.I.
#> (Intercept) 1.25 1.74
#> lgdpl 1.12 1.39
#>
#> Multivariate psrf
#>
#> 1.23


|
TSH(1) |
General Commands Manual |
TSH(1) |
NAME
tsh — Set up a minimal shell environment (“test shell”).
SYNOPSIS
|
tsh |
[-d] [-s shell] [dir] |
DESCRIPTION
The
tsh utility starts a new shell with minimal environment in a work directory. The minimal environment will have
LC_ALL set to “C” but will, apart from that, be empty, unless modified by shell initialization scripts.
-
-d
-
Delete the work directory when exiting.
This is done using rm -rf dir, where dir is the work directory specified on the command line, or the temporary directory that was created if no directory was specified.
If the USR1 signal is received, the work directory will not be deleted when exiting.
-
-h
-
Display brief usage information.
-
-s shell
-
Start shell shell.
The shell is required to be an absolute path listed in /etc/shells.
Defaults to /bin/sh.
-
dir
-
Use work directory dir.
If dir does not already exist, it will be created.
An empty temporary work directory will be created using mktemp -d if no directory is specified.
EXIT STATUS
The tsh utility exits 0 on success, and >0 if an error occurs.


{% extends "layout.html" %} {% block title %}Wordsearch Puzzle Creator{% endblock %} {% block content %}
Create your own Wordsearch Puzzle!
Double click the box below and enter the words you wish to include, separated by a comma (no spaces).
On clicking the 'Create' button, an XLS file will be created with the puzzle.
To delete words, highlight them and press 'del'


| 1 | /* | |
| 2 | * Licensed to the Apache Software Foundation (ASF) under one or more | |
| 3 | * contributor license agreements. See the NOTICE file distributed with | |
| 4 | * this work for additional information regarding copyright ownership. | |
| 5 | * The ASF licenses this file to You under the Apache License, Version 2.0 | |
| 6 | * (the "License"); you may not use this file except in compliance with | |
| 7 | * the License. You may obtain a copy of the License at | |
| 8 | * | |
| 9 | * http://www.apache.org/licenses/LICENSE-2.0 | |
| 10 | * | |
| 11 | * Unless required by applicable law or agreed to in writing, software | |
| 12 | * distributed under the License is distributed on an "AS IS" BASIS, | |
| 13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 14 | * See the License for the specific language governing permissions and | |
| 15 | * limitations under the License. | |
| 16 | */ | |
| 17 | ||
| 18 | package org.apache.commons.math3.analysis.solvers; | |
| 19 | ||
| 20 | import org.apache.commons.math3.analysis.differentiation.DerivativeStructure; | |
| 21 | import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; | |
| 22 | import org.apache.commons.math3.util.FastMath; | |
| 23 | import org.apache.commons.math3.exception.TooManyEvaluationsException; | |
| 24 | ||
| 25 | /** | |
| 26 | * Implements  | |
| 27 | * Newton's Method for finding zeros of real univariate differentiable | |
| 28 | * functions. | |
| 29 | * | |
| 30 | * @since 3.1 | |
| 31 | * @version $Id$ | |
| 32 | */ | |
| 33 | public class NewtonRaphsonSolver extends AbstractUnivariateDifferentiableSolver { | |
| 34 | /** Default absolute accuracy. */ | |
| 35 | private static final double DEFAULT_ABSOLUTE_ACCURACY = 1e-6; | |
| 36 | ||
| 37 | /** | |
| 38 | * Construct a solver. | |
| 39 | */ | |
| 40 | public NewtonRaphsonSolver() { | |
| 41 | this(DEFAULT_ABSOLUTE_ACCURACY); | |
| 42 | } | |
| 43 | /** | |
| 44 | * Construct a solver. | |
| 45 | * | |
| 46 | * @param absoluteAccuracy Absolute accuracy. | |
| 47 | */ | |
| 48 | public NewtonRaphsonSolver(double absoluteAccuracy) { | |
| 49 | super(absoluteAccuracy); | |
| 50 | } | |
| 51 | ||
| 52 | /** | |
| 53 | * Find a zero near the midpoint of {@code min} and {@code max}. | |
| 54 | * | |
| 55 | * @param f Function to solve. | |
| 56 | * @param min Lower bound for the interval. | |
| 57 | * @param max Upper bound for the interval. | |
| 58 | * @param maxEval Maximum number of evaluations. | |
| 59 | * @return the value where the function is zero. | |
| 60 | * @throws org.apache.commons.math3.exception.TooManyEvaluationsException | |
| 61 | * if the maximum evaluation count is exceeded. | |
| 62 | * @throws org.apache.commons.math3.exception.NumberIsTooLargeException | |
| 63 | * if {@code min >= max}. | |
| 64 | */ | |
| 65 | @Override | |
| 66 | public double solve(int maxEval, final UnivariateDifferentiableFunction f, | |
| 67 | final double min, final double max) | |
| 68 | throws TooManyEvaluationsException { | |
| 69 |
1
1. solve : replaced return of double value with -(x + 1) for org/apache/commons/math3/analysis/solvers/NewtonRaphsonSolver::solve → KILLED |
return super.solve(maxEval, f, UnivariateSolverUtils.midpoint(min, max)); |
| 70 | } | |
| 71 | ||
| 72 | /** | |
| 73 | * {@inheritDoc} | |
| 74 | */ | |
| 75 | @Override | |
| 76 | protected double doSolve() | |
| 77 | throws TooManyEvaluationsException { | |
| 78 | final double startValue = getStartValue(); | |
| 79 | final double absoluteAccuracy = getAbsoluteAccuracy(); | |
| 80 | ||
| 81 | double x0 = startValue; | |
| 82 | double x1; | |
| 83 | while (true) { | |
| 84 | final DerivativeStructure y0 = computeObjectiveValueAndDerivative(x0); | |
| 85 |
2
1. doSolve : Replaced double division with multiplication → KILLED 2. doSolve : Replaced double subtraction with addition → KILLED |
x1 = x0 - (y0.getValue() / y0.getPartialDerivative(1)); |
| 86 |
3
1. doSolve : changed conditional boundary → SURVIVED 2. doSolve : Replaced double subtraction with addition → KILLED 3. doSolve : negated conditional → KILLED |
if (FastMath.abs(x1 - x0) <= absoluteAccuracy) { |
| 87 |
1
1. doSolve : replaced return of double value with -(x + 1) for org/apache/commons/math3/analysis/solvers/NewtonRaphsonSolver::doSolve → KILLED |
return x1; |
| 88 | } | |
| 89 | ||
| 90 | x0 = x1; | |
| 91 | } | |
| 92 | } | |
| 93 | } | |
Mutations | ||
| 69 |
1.1 |
|
| 85 |
1.1 2.2 |
|
| 86 |
1.1 2.2 3.3 |
|
| 87 |
1.1 |


{% extends "base.html" %} {% block title %}Password changed{% endblock title %} {% block content %}
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Our mission is to help bring people together and share their creative ideas and assist them in bringing their dreams to life.
"Creativity is Contagious. PASS IT ON."


Yukihiro “Matz” Matsumoto is the mastermind behind the inception of Ruby. Since 1993 he has been designing our precious jewel up to its latest 2.0 version. Meanwhile he has been working on mruby, a lightweight Ruby implementation. This summer, he will be celebrating with us the 20th anniversary of Ruby.
Koichi knows the inside outs of the Ruby VM. He has developed YARV (Yet another Ruby VM) which became the official Ruby VM when Ruby 1.9 was released. We believe he will give lots of insights in the Ruby VM, the new performance improments in Ruby 2.0 and will hint at the future of the Ruby VM.
Steve enjoys turning coffee into code, writing, philosophy, and physical activity. He is a contributor to many high visibility open source projects such as Sinatra, Resque, Rubinius and of course the venerable Ruby on Rails web framework. His talks are always insightful and inspiring. We should not expect anything less for EuRuKo.
Xavier is a Ruby on Rails core team member having worked with Ruby since 2005. He is also featured as #5 in the Rails contributors lists, a list he also created. A real Ruby hero presented with a Ruby Hero Award in RailsConf 2010 and also part of the team that organised EuRuKo 2009 in Barcelona. We are really excited to have him with us at EuRuKo 2013 and are eager to watch him present a rational tale.
Grzegorz loves talking to people and computers. He speaks 4 (human) languages, a couple of computer ones, and he still wants to learn more. On daily basis he shares his life between Poznań and Berlin, where he works as a software developer dealing with Ruby on Rails applications, complex queries and performance issues.
Simon took his experience from 12 years of freelancing for various companies around the globe and working with a very diverse set of technologies to build his dream team at SponsorPay and work with the language he loves - Ruby. Today he is most interested in database performance, application architecture and any hard problem that comes his way.
Dirkjan is the founder of CriticalCodes, a development company specialized in performance and security. He is also an active open source contributor, having contributed to Ruby, Rails and DataMapper. These days EngineYard is sponsoring his company to work on Rubinius.
Benjamin is a developer at Pivotal Labs. He has a strong passion for TDD, pairing, Agile and using technologies that get out of the programmer’s way (or the programmer out of the way). When not writing code, he follows his other passions into the outdoors to rock climb, back country snowboard, kayak and surf.
 He is passionate about software design, test driven development and all sorts of modern web-technology. His main scientific interest is natural language processing.
Pat loves diving into the details of a technology, learning how it works, and then explaining it in simple terms that everyone can understand. Author of “Ruby under a Microscope” explaining the nitty gritty details of Ruby.
Ben is an engineer at Global Personals. A regular contributor to open source, agile proponent and harbours an almost unhealthy obsession for all things concurrent and distributed. Ruby and Scala are his first loves.
Bill is a bit of a newcomer to the Ruby community, but very eager to learn. Proud member of the almighty developers team of Pamediakopes.gr, twisting and bending any UI part he can get his hands on, based on the latest market demands and needs.
Alexandre is a Ruby developer at Stack Builders and a freedoms evangelist in the free time.
Javier is a web developer, daydreamer and all around happy person. He is in Ruby on Rails projects since 2006. He is also the author of the book “Aptana RadRails: An IDE for Rails Development” and an active member of the Spanish Ruby scene.
Chris is a Developer and Evangelist at New Relic. He is a self-identified happiness engineer, writing code that makes someone else's day better.


{% extends "masterpage.html" %}
{% block head %} {{ block.super }} {% endblock %} {% block menuup %} {{ block.super }} {% endblock %} {% block loginbox %} {{ block.super }} {% endblock %} {% block mainsite %} {{ block.super }}How the idea was born?
During our Bachelor's degree in "Azrieli, College of Engineering Jerusalem", at Software Engineering, We used a lot of different links. Every time we sent a link to a friend or group of students, we use the Email or other similar channels.What the site offers?
User not registered:
A non signed in user can send a link on the 'Main-Page' without any registration to any valid email address.
Registered User:
My Saved Links page - user can save all the links are important to him.About us
Our team is composed of five students at "Azrieli, College of Engineering Jerusalem".


Filtering SuperUser Accounts by Username
How to filter SuperUser account records by the first letter of all user names on the SuperUser Accounts module.
- Navigate to Host > Advanced Settings > SuperUser Accounts.
- Click on the linked [letter of the alphabet] that is the first letter of the SuperUser's user name. This displays all matching user accounts is alphabetical order.


Add directory where the extra files computed, the binary files for vertices, faces and normals, are stored or would be saved there.


Home
Coming soon ;)
Apply dark color schema to UNY. This theme can be used together with other themes.
Preview
With `uny-theme-generator` you can create your own color scheme.
Get started!
version 0.2-beta


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Dhoni starts training in Ranchi but not available for West Indies series
The Indian team, as mentioned by chief selector MSK Prasad, seems to have moved on with Rishabh Pant becoming the number one choice in the shorter formats
by Press Trust of IndiaMahendra Singh Dhoni has hit the nets in his hometown Ranchi but it is unlikely that the talismanic former captain will make himself available for the upcoming limited-overs home series against the West Indies next month.
Dhoni, who has not played a competitive game since the World Cup semifinal against New Zealand in July, had a net session at the JSCA Stadium in Ranchi on Thursday, raising hopes of a comeback.
However, he remains unavailable for the three T20s and as many ODIs against the West Indies starting December 6 in Mumbai.
"He is not available for the West Indies series," a BCCI official told PTI on Friday.
Ever since that World Cup semifinal loss to New Zealand, Dhoni's future has been a subject of intense speculation but the player himself has not spoken a word on it.
The Indian team, as mentioned by chief selector MSK Prasad, seems to have moved on with Rishabh Pant becoming the number one choice in the shorter formats.
Host broadcaster Star Sports wanted Dhoni to commentate in India's first-ever day-night Test, against Bangladesh, from November 22-26, but he will not be doing that as he remains a contracted player of the BCCI
As per the existing constitution, Dhoni commentating would have also amounted to conflict of interest.


Hero #
Hero Title
Not all heroes wear capes
Hero Title
Not all heroes wear capes
Hero Title
Not all heroes wear capes
Menu and Contents #
Installation
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adipiscing elit, sed
do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Quis ipsum suspendisse ultrices gravida. Fringilla phasellus
faucibus scelerisque eleifend donec pretium.
Installing Infima
Ut lectus arcu bibendum at. Quam adipiscing vitae proin sagittis nisl rhoncus mattis rhoncus urna. Lacus laoreet non curabitur gravida. Neque viverra justo nec ultrices dui sapien eget mi. Et pharetra pharetra massa massa ultricies mi. Nulla aliquet enim tortor at. Euismod nisi porta lorem mollis aliquam.
Ut lectus arcu bibendum at. Quam adipiscing vitae proin sagittis nisl rhoncus mattis rhoncus urna. Lacus laoreet non curabitur gravida. Neque viverra justo nec ultrices dui sapien eget mi. Et pharetra pharetra massa massa ultricies mi. Nulla aliquet enim tortor at. Euismod nisi porta lorem mollis aliquam.
Verifying Installation
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const myFun = (x, y) => { const doubleX = x + x; const doubleY = y + y; return doubleX + doubleY };
Morbi tincidunt ornare massa eget. Dictumst vestibulum rhoncus est pellentesque elit ullamcorper dignissim cras. Sem fringilla ut morbi tincidunt augue interdum velit euismod in. Volutpat maecenas volutpat blandit aliquam etiam erat. Fames ac turpis egestas maecenas. Odio ut sem nulla pharetra diam sit. Gravida rutrum quisque non tellus orci ac auctor.
Running Examples
At elementum eu facilisis sed odio morbi quis. Metus vulputate eu scelerisque felis. Vitae semper quis lectus nulla at volutpat diam ut venenatis. Pellentesque diam volutpat commodo sed egestas egestas fringilla. Cursus in hac habitasse platea dictumst quisque sagittis purus. Odio ut enim blandit volutpat maecenas volutpat blandit.
Why this is good
- Foo
- Bar
-
Baz
- Foo
- Bar
- Baz
At elementum eu facilisis sed odio morbi quis. Metus vulputate eu scelerisque felis. Vitae semper quis lectus nulla at volutpat diam ut venenatis. Pellentesque diam volutpat commodo sed egestas egestas fringilla. Cursus in hac habitasse platea dictumst quisque sagittis purus. Odio ut enim blandit volutpat maecenas volutpat blandit.
Grid #
Twelve Column Layout
Equal-width
Auto-width
Column Offsets
No Gutters
Dropdown #
Alerts #
somewhere
else.
somewhere
else. And this some code
for example.
somewhere
else.
somewhere
else.
somewhere
else.
somewhere
else.
- Timeline
- About
- Timeline
- About
- Timeline
- About
Badges #
This is Something New Primary
This is Something New Primary
This is Something New Primary
This is Something New Primary
This is Something New Primary
This is Something New Primary
Avatar #
Horizontal Avatars
Vertical Avatars
Cards #
Lorem Ipsum
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Quis ipsum suspendisse ultrices gravida.
Quaco Lighthouse
The Quaco Head Lighthouse is a well maintained lighthouse close to St. Martins. It is a short, beautiful walk to the lighthouse along the seashore.Full-Height Cards
Lorem Ipsum
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Quis ipsum suspendisse ultrices gravida.
Quaco Lighthouse
The Quaco Head Lighthouse is a well maintained lighthouse close to St. Martins. It is a short, beautiful walk to the lighthouse along the seashore.Typography #
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Emphasis
Emphasis, aka italics, with asterisks or underscores.
Strong emphasis, aka bold, with asterisks or underscores.
Combined emphasis with asterisks and underscores.
Strikethrough uses two tildes. Scratch this.
This is primary text.
This is secondary text.
This is success text.
This is info text.
This is warning text.
This is danger text.
Blockquotes
Blockquotes are very handy in email to emulate reply text. This line is part of the same quote.
Quote break.
This is a very long line that will still be quoted properly when it wraps. Oh boy let's keep writing to make sure this is long enough to actually wrap for everyone. Oh, you can put Markdown into a blockquote.
Some nested quote
Here's a link to
somewhere
else and aninline code block
Lists
- First ordered list item
- Second item
- Third item
- First unordered list item
- Second item
- Third item
-
Lists in a list item:
-
Indented four spaces.
- indented eight spaces.
- Four spaces again.
-
Indented four spaces.
-
Multiple paragraphs in a list items: It's best to indent the paragraphs four spaces You can get away with three, but it can get confusing when you nest other things. Stick to four.
We indented the first line an extra space to align it with these paragraphs. In real use, we might do that to the entire list so that all items line up.
This paragraph is still part of the list item, but it looks messy to humans. So it's a good idea to wrap your nested paragraphs manually, as we did with the first two.
-
Blockquotes in a list item:
Skip a line and indent the >'s four spaces.
-
Preformatted text in a list item:
Skip a line and indent eight spaces. That's four spaces for the list and four to trigger the code block.
Tables
| Tables | Are | Cool |
|---|---|---|
| col 3 is | right-aligned | $1600 |
| col 2 is | centered | $12 |
| zebra stripes | are neat | $1 |
| Markdown | Less | Pretty |
|---|---|---|
| Still | renders |
nicely |
| 1 | 2 | 3 |
Inline HTML
To reboot your computer, search it up on Google or press ctrl + alt + del.
Horizontal Rules
Three or more...
Hyphens
Asterisks
Underscores
Code and Syntax Highlighting
Inline code
has back-ticks around
it.
function foo() {
console.log('foo!');
}
You can use code
in your headers.
As well as type code
in your blockquotes.
And you can use code
inside links
| JavaScript | Reason |
|---|---|
const myFun = (x, y) => { const doubleX = x + x; const doubleY = y + y; return doubleX + doubleY }; |
let myFun = (x, y) => { let doubleX = x + x; let doubleY = y + y; doubleX + doubleY }; |
Media #
Images
Photo credits: Ashim D'Silva


Section 3.2 The Word Processor
At the Main menu, open the Word Processor letter w, then enter
A menu appears with options
Create letter c, then enter
Open letter o, then enter
Print letter p, then enter
Emboss letter e, then enter
Settings letter s, then enter
Settings includes several options including
Manage personal dictionary,
Spell checker language and an
Option to set the Embosser IP Address to an embosser that supports embossing to the Cloud
When done writing your document
Exit and open the Save As dialog space+e
When prompted for a file name, type it and press enter If this is the first time that you have saved a document, it will be saved in the Documents folder on the Storage drive. Open Save As dialog withotu exiting backspace+sFollowing is a list of commands that you can use to move around your document
Move to top of document space+dots123
Move to bottom of document space+dots456
Move to previous character space+dot3
Move to next character space+dot6
Move to previous word space+dot2
Move to next word space+dot5
Move to previous line space+dot1 or Previous thumb-key
Move to next line space+dot 4 or Next thumb-key
Move to previous paragraph space+dots23
Move to next paragraph space+dots56
Move to beginning of line Enter+dots13
Move to end of line ENTER+dots46
Page up space+dots126
Page down space+dots345
Pan Braille to the left Left thumb-key
Pan Braille to the right Right thumb-key
Change navigation level space+t
Navigate to next navigation element space+dots46
Navigate to previous navigation element space+dots13
When you are writing UEB or English contracted Braille, the editing cursor is displayed as dots7,8. If you are editing computer Braille, the editing cursor is indicated by dot8 alone.


2000 VS 2019 – What We Did Then, Compared to Now – A Trip Down Memory Lane with OnePlus
by Peter HoldenDo you remember when mobile phones were actually used for making calls and sending texts, instead of checking emails, posting to Facebook and Instagram, managing your finances, replacing your dedicated point-and-shoot camera, usurping the role of the walkman, and even taking the place of your wallet? Well, OnePlus has come up with a list of things that we used to do back in the year 2000 compared to what we now do on smartphones such as the OnePlus 7T in 2019.
What we did in 2000 compared to 2019
- In 2000 we played snake….in 2019 we play the piano on the OnePlus 7T Pro
- In 2000 we Blackberry messaged….in 2019 we say what’s up on WhatsApp
- In 2000 we called a premium rate number to get a ringtone such as Ms. Jackson, in 2019 our phone is on perma-mute
- In 2000 we used to stay in contact with SMS….in 2019 the only people who send SMS are Dominos (but who can resist 50% off?)
- In 2000 our mobile phone batteries lasted around three days….in 2019, we’re shouting across the office “who’s got a charger I can borrow?”
- In 2000 we’d punch in our friend’s numbers from memory…in 2019, we have absolutely no idea what our own number actually is, nevermind anyone else’s
- In 2000 we had to use a digital camera to take a picture, as camera phones didn’t exist… in 2019 digital what! Camera phone cameras are so advanced, there’s no need for a traditional camera of a lower resolution
- In 2000 apps meant a university or job application… in 2019 the app market is worth an estimated $71.3 billion
- In the early 2000’s we used to upload our photos from a digital camera onto MySpace…in 2019 we let everyone know what we’re up to by posting our best photos on Instagram
- In 2000 we walked around with a mobile phone and a Diskman…in 2019 we stream til’ our heart’s content on a smartphone with Spotify or YouTube Music
Let us know in the comments below how the advancement of the smartphone has changed your life since the year 2000.
OnePlus might up their game with a 120hz display in the OnePlus 8 Pro
What’s the difference between the OnePlus 7T and 7T Pro?
The OnePlus Phone Piano features a keyboard made from 17 OnePlus 7 T Pros


Reports any variables declared as java.lang.StringBuffer which may be
more efficiently declared as java.lang.StringBuilder.
java.lang.StringBuilder is a non-thread-safe replacement for
java.lang.StringBuffer, available in Java 5 and newer.
This inspection only reports if the project or module is configured to use a
language level of 5.0 or higher.
Powered by InspectionGadgets


‘State will receive more investments’
by Staff Reporter“My official trip to America has been fruitful, as the State will receive more investments in the future,” said Deputy Chief Minister O. Panneerselvam, while speaking to reporters here on Wednesday after distributing welfare assistance to beneficiaries at the Cooperative Week celebration.
On Rajinikanth and Kamal Haasan coming together in politics, he said, “let them face the elections first and then I will comment on it. Both of them are great actors though.”
He added that the AIADMK will win in the local body elections with a great margin. “As far as the AIADMK is concerned, there’s no void in the State politics,” he said.
Earlier in the evening, he distributed assistance worth ₹7.49 crore to 551 beneficiaries including self help group women, marginal farmers and the differently-abled.


‘Juhayman: 40 years on:’ Arab News takes a Deep Dive into Saudi history with a multimedia look at the siege of Makkah’s Grand Mosque
JEDDAH: Due to high demand and the amazing turnout of Riyadh Season, the Chairman of the General Entertainment Authority Turki Al-Sheikh announced the season will be extended to late January via Twitter on Monday.
He wrote: “We have reached 7,650,000 visitors in a month (for Riyadh Season). And under the Crown Prince’s directives, we’re extending the season until late January.”
He concluded the tweet by congratulating the public.
Riyadh Season is one of 11 Saudi Seasons that aim to promote Saudi Arabia as a tourism hub, as well as enhance the quality of life for the people of the Kingdom.
The season began on Oct. 11 and was scheduled to conclude on Dec. 15, before the announcement to be extended was made yesterday.
Combining 100 lavish events and more than 3,000 activities, the season covered over 12 different locations in Riyadh to attract people of all places.
Riyadh Season visitors got to experience major events that are taking place for the first time in Saudi Arabia.
With K-pop group BTS, international and Arabic artists, Michelin star chefs and sports events like WWE Crown Jewel and the Super Classico, Riyadh has been lit up like never before.


We enhance cats!
- mesh global networks
- strategize killer relationships
- streamline viral models
- streamline collaborative infrastructures
- brand transparent e-business
- cultivate magnetic experiences
- e-enable magnetic functionalities
- visualize magnetic e-business
- streamline cross-media portals
- brand scalable mindshare
- target sticky functionalities
- orchestrate out-of-the-box systems


LATIS
Here the trainers we provide the are the best around other gyms.You definetly be benifeted by them .
Here the trainers we provide the are the best around other gyms.You definetly be benifeted by them .
Here the trainers we provide the are the best around other gyms.You definetly be benifeted by them .
Here the trainers we provide the are the best around other gyms.You definetly be benifeted by them .
Here the trainers we provide the are the best around other gyms.You definetly be benifeted by them .
Here the trainers we provide the are the best around other gyms.You definetly be benifeted by them .


Bypass HTML Field Restrictions
The form below uses HTML form field restrictions. In order to pass this
lesson, submit the form with each field containing an unallowed value.
You must submit invalid values for all six fields in one form
submission.


{% extends "base.html" %} {% block body %} {% include "navbar.html" %}
Hello. How are you today?
Hey! I'm fine. Thanks for asking!


EXCESS BAGGAGE A film review by Steve Rhodes Copyright 1997 Steve Rhodes
RATING (0 TO ****): * 1/2
Ask the typical moviegoer about a film, and what you will be told about are the stars and the plot. With few exceptions, the director is never mentioned. And the writers are totally ignored.
EXCESS BAGGAGE can serve as an object lesson in the importance of an intelligent script and a director with a sense of vision. Certainly Columbia Pictures must have been impressed with the deal they were offered by the producers. For stars the picture was to have the talented Alicia Silverstone and Christopher Walken, and the setup for the story showed great promise.
The resulting film, however, leaves much to be desired. Screenwriters Max D. Adams, Dick Clement and Ian La Frenais fashion the outline of their characters but never bother to fill them in. The dialog is as sparse as it is meaningless, making the movie seem like a partially finished body of work that was rushed into production before it was completed.
Director Marco Brambilla, whose only other film was DEMOLITION MAN, crafts a story without context or compass. The film appears to be a dark comedy, but dark comedies have impressive atmospherics and are, shall we say, funny. This remarkably humorless movie has a laugh count of one -- an unprintable line of Silverstone's that occurs 45 minutes into the film. Jean-Yves Escoffier's pedestrian cinematography has no discernible look to it, rendering it as uninviting as the soliloquies of the actors.
The story has a propitious beginning. "All I ever wanted was a father who loved me," bemoans a melancholy young woman. "Someone to protect me. Someone to guide me through life. But it was never about the money." The cynical young woman, ironically named Emily Hope, is played without energy or passion by Alicia Silverstone. Silverstone brings nothing to the role and rarely rises above her poorly written part. Her character, like all of the characters in the story, is unsympathetically drawn. The movie is populated by people who are more walking enigmas than flesh-and-blood human beings. If an unexpected tornado had killed all of the characters, none of them would have been worth mourning.
Emily has kidnapped herself and gotten her father to pay a million dollars in ransom. At the start of the story she puts herself into the trunk of her car, but before the police can rescue her, a car thief named Vincent Roche steals it.
This sounds better than it is due to the director's inability to stage compelling scenes. The actors drift slowly through the props looking disinterested and confused. Sometimes they speak. Rarely is what they say worth hearing, so perhaps the paucity of lines is a blessing in disguise.
Benicio Del Toro, as the thief, sleepwalks through most of the picture, waking periodically to mumble some incomprehensible lines. Only the acting by Jack Thompson, as Emily's father, is worse. Thompson seems to be on strike and staging a work-to-rules protest. He will speak the lines written, but he will not show one scintilla of emotion.
When Christopher Walken shows up as Emily's Uncle Ray, the film briefly looks promising again, since Walken is the master of the creepy. The director manages to confuse Walken too. He wanders the set in the same zombie-like state as the rest of the cast. The only differences is that he looks incredibly sad. You would be too if you were stuck in this movie.
When the inevitable conclusion finally comes, it is not clear what the director of this sleep-inducing picture had intended to accomplish. His slightly mean-spirited film wasn't funny, gave no message and touched no emotional nerves. I left as confused as the actors.
EXCESS BAGGAGE runs 1:41. It is rated PG-13 for violence, drinking, and sexual dialog. The film would be fine for teenagers and those a bit younger. I do not recommend the picture, and I give it a generous * 1/2.
**** = A must see film. *** = Excellent show. Look for it. ** = Average movie. Kind of enjoyable. * = Poor show. Don't waste your money. 0 = Totally and painfully unbearable picture.
REVIEW WRITTEN ON: September 5, 1997
Opinions expressed are mine and not meant to reflect my employer's.
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