I have been on a journey to overhaul the underpinnings of the Flips library and it has been a humbling experience. Part of what I believe provides a unique value add compared to other libraries for Mathematical Planning is the SliceMap
types. They provide a convenient method for subsetting your data that is intuitive for someone who writes optimization models. The SliceMap
types are heavily influenced by the TupleDict
type in the Gurobi library for Python.
The major problem with SliceMap
is that it does not scale well to sparse data sets. I knew this would be the case when I wrote it originally, but the performance was good enough at the time, so I decided to ship. Since then, this performance degradation has been a splinter in my mind that I simply could not shake. There had to be a way to do this well, I just didn’t know it yet.
I have spent a year on and off searching for answers. I now have a shelf in my office that is full of books on algorithms, data structures, and multi-dimensional data structures. It’s all the best resources I could find that could possibly help me with this problem. While it was fun reading them, it ultimately didn’t help much. All these fancy data structures didn’t support what appeared to be a unique use case.
This series of posts is going to be me taking you through the journey to where I had the breakthrough and then kept on pushing. I have kept a repo set aside with branches which illustrate each of the milestones so you can see the impact. It includes code for easy benchmarking with benchmarkDotNet and code that you can profile yourself if you wish.
My goal is for you to see the mistakes and understand why some approaches are inefficient, even if the Big O notation says they should be faster. Also, I am not a “Pro” performance person. I’m actively learning to diagnose and address performance issues so if you see that I missed something, please let me know! Let’s start our journey with understanding the domain we are working in and what the requirements of SliceMap
are.
The Linear Programming Domain
SliceMap
is a set of types specifically for working in the Linear Programming and Mixed-Integer Programming domains. I often refer to these domains as “Mathematical Planning” because they are primarily concerned with using mathematics to find the best possible plans. The word “Program” used to mean “Plan” but now the word “Program” has become overloaded since the advent of Computer Science, so I don’t like to use it anymore. The academic literature still calls it “Linear Programming” and “Mixed-Integer Programming” though so if you go searching for more resources, you’ll need to use the original terms.
The foundation of the LP and MIP domains is the humble Linear Expression. The term “Linear” in mathematics carries a special meaning that I won’t go into here. The key thing you need to know is that these expressions are straight. They are not curved in any way. Here are some examples of Linear Expressions:
$$1.0 + x_{1} + 2 \times x_{2}$$ $$3.5 \times x_{1} + 5.7 \times x_{2}$$ $$3.5 \times x_{1} + 14.0$$
The most important thing to note is that you never see two $x$ multiplied together and there is no division. Here the $x$ values correspond to Decisions that we want to evaluate using Mathematical Planning. We can model this small domain using a simple set of types in F#.
type DecisionType =
| Boolean
| Integer of LowerBound:float * UpperBound:float
| Continuous of LowerBound:float * UpperBound:float
type DecisionName = DecisionName of string
type Decision = {
Name : DecisionName
Type : DecisionType
}
type LinearExpr =
| Float of float
| Decision of Decision
| Scale of scale: float * expr: LinearExpr
| Add of lExpr: LinearExpr * rExpr: LinearExpr
This doesn’t show you how these can interact though. If we add the operators for these types, we get the following.
type DecisionType =
| Boolean
| Integer of LowerBound:float * UpperBound:float
| Continuous of LowerBound:float * UpperBound:float
type DecisionName = DecisionName of string
type Decision = {
Name : DecisionName
Type : DecisionType
} with
static member ( + ) (l: float, r: Decision) =
LinearExpr.Add (LinearExpr.Float l, LinearExpr.Decision r)
static member ( + ) (l: Decision, r: Decision) =
LinearExpr.Add (LinearExpr.Decision l, LinearExpr.Decision r)
static member ( * ) (l: float, r: Decision) =
LinearExpr.Scale (l, LinearExpr.Decision r)
[<RequireQualifiedAccess>]
type LinearExpr =
| Float of float
| Decision of Decision
| Scale of scale: float * expr: LinearExpr
| Add of lExpr: LinearExpr * rExpr: LinearExpr
static member ( + ) (l: float, r: LinearExpr) =
LinearExpr.Add (LinearExpr.Float l, r)
static member ( + ) (l: Decision, r: LinearExpr) =
LinearExpr.Add (LinearExpr.Decision l, r)
static member ( + ) (l: LinearExpr, r: LinearExpr) =
LinearExpr.Add (l, r)
static member ( * ) (l: float, r: LinearExpr) =
LinearExpr.Scale (l, r)
static member ( * ) (l: LinearExpr, r: float) =
LinearExpr.Scale (r, l)
static member Zero = LinearExpr.Float 0.0
The reason this is important is that we want to use SliceMap
to be able to subset these types, multiply them together, and then sum the result. We aren’t just working with float
values. It’s a more complex domain than that. If it was just float, I would have been trying to use SIMD or AVX instructions.
SliceMap Requirements
Okay, we’ve talked a little about the primitives we are working with, let’s talk about what SliceMap
needs to be able to do. Now, SliceMap
is like tuples in F#. Tuples are not a single type; they are a family of types. A 2-element tuple is not the same as a 3-element tuple. In the same way SliceMap
is a family of types and each has a dimensionality to it. The dimensionality corresponds to the keys being used to index the value. A SliceMap
has a 1-dimensional key. A SliceMap2D
has a 2-dimensional key and so on. Right now, I only plan on supporting up to a 5D key. I have not come across a real-world problem that needed a higher dimensional key.
I think the best analogy for explaining what SliceMap
s are meant to do is with database tables. Think of each SliceMap
as a table where the 'key
is unique and there is a corresponding value 'value
. The table would look something like this.
| Key | Value |
|---|---|
| 1 | 2.0 |
| 2 | 1.7 |
| 3 | 2.5 |
| … | … |
Now, a SliceMap2D
would have two columns for the keys like so.
| Key1 | Key2 | Value |
|---|---|---|
| 1 | “A” | 2.0 |
| 1 | “B” | 8.0 |
| 1 | “C” | 3.0 |
| 2 | “B” | 1.7 |
| 2 | “C” | 1.7 |
| 3 | “A” | 9.4 |
| 3 | “B” | 4.6 |
| … | … |
Now, we would like to be able to subset these datasets quickly and easily. To simplify this for the developer, the SliceMap
types provide several overloads for the Item
method. Let’s look at an example. We will fill a SliceMap2D
with some values and then select only the values where the first key is equal to 1
and we can slice it again but only take the values where the second key equals 2
.
let key1 = [1..5]
let key2 = [1..2]
let sm2 =
SliceMap2D [
for k1 in key1 do
for k2 in key2 ->
k1, k2, k1 + k2
]
// slice will only contain the values where the first index = 1
let slice1 = sm2[1, All]
// slice2 will only contain values where the second index = 2
let slice2 = sm2[All, 2]
This “slicing” provides a terse way to quickly filter down to the values that we care about. We then add the ability to take the Hadamard Product of two SliceMap
. Think of this as an inner join on two tables. Where the keys match, the value in the two tables is multiplied. In Matlab and other languages it is the .*
operator. It’s meant to signify element by element multiplication. In our case, whenever the keys match the values are multiplied. Here’s a quick example of what it looks like
let a = SliceMap [for i in 1..5 -> i, i]
let b = SliceMap [for i in 1..3 -> i, i * i]
let c = a .* b
// The key/value pairs in `c` will be
// [(1, 1); (2, 8); (3, 27)]
The Hadamard Product of two SliceMap
allow us to quickly multiply values together for the same key which is one of the cornerstones of Mathematical Planning. Finally, we then need to sum of these values to get the final result. We define a sum
function which knows how to take any SliceMap
and return the total of the values that it contains.
let a = SliceMap [for i in 1..5 -> i, i]
let b = SliceMap [for i in 1..3 -> i, i * i]
let c = a .* b
let total = sum c
// total is 36
If you want a deeper explanation of SliceMap
and how they are meant to work, you can check out this page.
Baseline Test
Note: If you want to see this code all at once, check out this repo and branch
Now that we just had a whirlwind introduction to the Mathematical Planning domain and SliceMap
, we can start talking about the implementation. We want to rewrite the SliceMap
implementations to support fast slicing, Hadamard Product, and summing of values. Those are the critical operations. We also want it to be performance as the data becomes more sparse. Before we go about rewriting though, we should know what our current performance is.
The current implementation of SliceMap
assumes that data is dense across all dimensions. This means that when it sums up values or performs a Hadamard Product, it will check every combination of keys to see if there is a value. Currently the actual values of the SliceMap
are stored in a Dictionary
and are accessed using a TryGetValue
. For dense data, this is not a problem because every entry will have a value. As data gets sparse though, you end up doing a lot of unnecessary work.
For our baseline benchmarks we are going to test 3 different scenarios: Dense, Medium Sparsity, and High Sparsity. Dense for us will mean there is a value for every key. Medium sparsity will only have values for 10% of the possible keys. High Sparsity will have values only 1% of the time. Here is the code for setting up our data. We will have a set of Cities modeled as an int
with a Unit of Measure and a set of Trucks also modeled as an int
with Unit of Measure.
[<Measure>] type City
[<Measure>] type Truck
let rng = Random 123
let numberOfCities = 1_000
let numberOfTrucks = 1_000
let cities = [| for c in 1 .. numberOfCities -> LanguagePrimitives.Int32WithMeasure<City> c |]
let trucks = [| for t in 1 .. numberOfTrucks -> LanguagePrimitives.Int32WithMeasure<Truck> t|]
We then create some random Cost and Capacity data that we will use in our SliceMap
s.
let costs =
SliceMap [|
for t in trucks ->
t, 100.0 + 10.0 * rng.NextDouble()
|]
let capacity =
SliceMap [|
for t in trucks ->
t, 1_000.0 + 10.0 * rng.NextDouble ()
|]
We now create a Decision
for the pairs of City and Truck that we are modeling.
let cityTruckPairs =
[|
for c in cities do
for t in trucks ->
c, t
|]
// For the Dense case
let decisions =
SliceMap2D [|
for (c, t) in cityTruckPairs ->
let decisionName = DecisionName ($"{c.ToString()}_{t.ToString()}")
c, t, { Name = decisionName; Type = DecisionType.Boolean }
|]
For the Medium and Highly sparse cases we generate our SliceMap2D
of Decision
differently. We randomly omit pairs of City and Truck to make the data sparse.
// Medium Density case
let densityPercent = 0.10
let cityTruckPairs =
[|
for c in cities do
for t in trucks ->
if rng.NextDouble() < densityPercent then
Some (c, t)
else
None
|] |> Array.choose id
// Medium Density decisions
let decisions =
SliceMap2D [|
for (c, t) in cityTruckPairs ->
let decisionName = DecisionName ($"{c.ToString()}_{t.ToString()}")
c, t, { Name = decisionName; Type = DecisionType.Boolean }
|]
And for Sparse we only accept 1% of the pairs.
let densityPercent = 0.01
let cityTruckPairs =
[|
for c in cities do
for t in trucks ->
if rng.NextDouble() < densityPercent then
Some (c, t)
else
None
|] |> Array.choose id
let decisions =
SliceMap2D [|
for (c, t) in cityTruckPairs ->
let decisionName = DecisionName ($"{c.ToString()}_{t.ToString()}")
c, t, { Name = decisionName; Type = DecisionType.Boolean }
|]
Now that we have setup our data, we can run some benchmarks! We will use benchmarkDotNet which makes this type of work incredibly easy. For each case we create a loop
function which iterates through each of the Cities in our data and computes a linear expression using the SliceMap
s we populated, the Hadamard Product, and summing them. We loop through all the Cities 10 times so that our test is sufficiently long. Anything under 100 ms causes a warning from benchmarkDotNet that the test may be too short and the results not valid. We are assigning to a mutable
value and returning it to ensure that the compiler doesn’t do something clever and just skip unused code.
// There's a loop like this for each case
let loop () =
let mutable result = LanguagePrimitives.GenericZero
for _ = 1 to 10 do
for c in cities do
let total = sum (capacity .* decisions[c, All] .* costs)
result <- total
result
We then create a class to hold our tests for benchmarkDotNet.
[<MemoryDiagnoser>]
type Benchmarks () =
[<Benchmark>]
member _.DenseData () =
Dense.loop ()
[<Benchmark>]
member _.MediumSparsity () =
MediumSparsity.loop ()
[<Benchmark>]
member _.HighSparsity () =
HighSparsity.loop ()
We can now add a call to the main
function to run the benchmarks.
[<EntryPoint>]
let main argv =
let summary = BenchmarkRunner.Run<Benchmarks>()
0 // return an integer exit code
We can build using the Release
settings and run the command line. At the end we get the following table from benchmarkDotNet.
| Method | Mean | Error | StdDev |
|--------------- |--------:|---------:|---------:|
| DenseData | 7.993 s | 0.0748 s | 0.0700 s |
| MediumSparsity | 2.154 s | 0.0176 s | 0.0156 s |
| HighSparsity | 1.209 s | 0.0134 s | 0.0126 s |
We now have a baseline of performance to judge improvements on. If you want to run this yourself, check out this repo and branch. Let’s see what we can do to improve this!
First failure: Clever IEnumerable
The first thing I tried when I came back to this problem was to try to be cleverer about which keys I iterated through. The idea was to encode the outer keys with a Run-Length Encoding and the inner keys would have an index for the next time that value showed up. This meant if I slice the outer dimension, I will only look at the small section for that run. If I slice the inner dimensions, I can find the first instance of a value and then just skip from row to row.
I know that’s not a detailed explanation, but I don’t think it’s worth going into the details. You can see the code here if you want. The reason it’s not worth the explanation can be found in the performance results.
| Method | Mean | Error | StdDev |
|--------------- |---------:|---------:|---------:|
| DenseData | 86.070 s | 0.4374 s | 0.4091 s |
| MediumSparsity | 10.592 s | 0.0938 s | 0.0832 s |
| HighSparsity | 3.343 s | 0.0289 s | 0.0270 s |
This was deeply disappointing. Even though I was able to skip so many values, the overhead of the IEnumerable and the fact that I was skipping all over these arrays caused havoc. This is a case of trying to be too clever and it can bite you. I may have theoretically been doing less work, but the algorithm was so much less friendly for the CPU and I suffered the consequences.
Now, I didn’t want to give up right away with this approach. I took a long time coming up with it. I thought that maybe I had done something silly and had made some error. I decided to profile to find what I was doing wrong. I like to use dotTrace and dotMemory for this kind of work. I’ve recently also started using Superluminal which shows a lot of promise.
Second Failure: Struct Tuples Isn’t Enough
When I ran the code through dotMemory I saw that I was generating a huge number of tuples. These were coming from the calls to Seq.unfold
which was using a normal F# tuple which is a ref type.
I knew I could cut down on the GC if I converted these to struct
tuples. I went ahead and made the change which you can check out here. Sadly, this helped some, but not enough.
| Method | Mean | Error | StdDev |
|--------------- |---------:|---------:|---------:|
| DenseData | 51.158 s | 0.1429 s | 0.1337 s |
| MediumSparsity | 7.619 s | 0.0367 s | 0.0344 s |
| HighSparsity | 2.934 s | 0.0223 s | 0.0209 s |
There were some additional things that I could have done to try to eek out some more performance but I knew none of them had the potential to give me a 10x or more improvement which was what I was really looking for. I sat with this for a day trying to see if I had missed something obvious but nothing came to me. It looks like the clever enumeration approach is a dead end.
Where from here?
Fortunately, this story does have a good ending but it will have to wait for my next post. I had to go back to the drawing board and rethink my approach. Fortunately, I had picked up Data-Oriented Design and had been reading through it for inspiration. In it I found an idea that proved to be the key to unlocking this problem. Sorry to leave you hanging but this dad needs some sleep 😴.
Please send me an email at<EMAIL_ADDRESS>if you have any questions and subscribe so you can stay on top new posts and products I am offering.


Regensi 1 Blok E4 No 20 Rt 05 Rw 05, Cibitung, Bekasi, Jawa Barat. Wanasari, 17520
CONTACT+62<PHONE_NUMBER>0
<EMAIL_ADDRESS>23 November 1999
WEBSITErobbyakbar.me
FACEBOOKfb.com/robby.akbar.75
SMK Negeri 2 Cikarang Barat (2015-2018)
Computer and Network Engineering
Universitas Pendidikan Indonesia (2018-present)
System and Information Technology Education
Lembaga Ketahanan Nasional (September 2016-November 2016)
Field Practice
Responsibilities: maintenance and security of computer networks and communications; application maintenance and development


126 Comments have their own context menu, with obvious meanings: Back to the options in the menu for the background of the scripting area (picture on the previous page): The scripts pic… option saves, or opens a new browser tab with, a picture of all scripts in the scripting area, just as they appear, but without the grey striped background. Note that “all scripts in the scripting area” means just the top-level scripts of the current sprite, not other sprites’ scripts or custom block deﬁnitions. This is also a “smart picture”; if you drag it into the scripting area, it will create a new sprite with those scripts in its scripting area. Finally, the make a block… option does the same thing as the “Make a block” button in the palettes. It’s a shortcut so that you don’t have to keep scrolling down the palette if you make a lot of blocks. Controls in the Costumes Tab If you click on the word “Costumes” under the sprite controls, you’ll see something like this: The Turtle costume is always present in every sprite; it is costume number 0. Other costumes can be painted within Snap ! or imported from ﬁles or other browser tabs if your browser supports that. Clicking on a costume selects it; that is, the sprite will look like the selected costume. Clicking on the paint brush icon opens the Paint Editor, in which you can create a new costume. Clicking on the camera icon opens a window in which you see what your computer’s camera is seeing, and you can take a picture (which will be the full size of the stage unless you shrink it in the Paint Editor). This works only if you give Snap ! permission to use the camera, and maybe only if you opened Snap ! in secure (HTTPS) mode, and then only if your browser loves you.


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--- layout: post title: "Recipe for a Social Entrepreneur" date: 2013-06-24 00:07 comments: true alias: [/recipe-for-a-social-entrepreneur] ---
Yields 1 Technology-powered Social Entrepreneur
Mix Girl Scout, Promise, and dreams of making the world a better place in each of 5 states, 9 public schools, and 10 scout troops. After 17 years, add Pre-med/Biomedical Engineering major and Computer Science 101 class to yield Computer Science major. Four years later, add Computer Science degree and see Girl Scout grow to New York City. Add 100 TB Financial Data to establish Database Administrator expertise. Let Promise to help people at all times simmer. Girl Scout will form Developers for Good and connect 700+ technologists with social impact organizations.
After years of being one of few women in the room, introduce Girl Scout to women who are interested in technology, but think it's too late to learn to code. Girl Scout will form Girl Develop It to teach low-cost, judgment-free software development courses. After three years of mixing, teaching, and organizing operations, Girl Develop It will expand to 16 chapters worldwide, over 4,000 students, and a community of 30,000 learners.
As the U.S. Bureau of Labor & Statistics reports we'll have 1 million unfilled software jobs by 2018, mix Girl Scout with film producer of Waiting for Superman and other technical leaders to launch Code.org film, "What most schools don't teach." Finally, as Developers for Good and Girl Develop It and Code.org evolve, Girl Scout will produce CodeMontage to help people become better software engineers while improving the world.


--- layout: post title: Adapter gems available categories: - edge author: David published: true date: 2007-10-01 14:31:00.000000000 +01:00 ---
The extracted adapter gems are now available for install from the gems.rubyonrails.org server. Say you want the Oracle adapter installed, you just do gem install activerecord-oracle-adapter. All the extracted gems are:
The mysql, postgresql, and sqlite adapters are still included in Rails core.
These will be released to the standard Ruby repository alongside Rails 2.0 when that reaches final.


Powered by
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foreverbell
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Released under the
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Steps
fork me on github
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UI/UX Designer, Game Asset Creation, Marketing and Brand Asset Creation
Madsox Games, Remote
2014 - 2015
Avoid the infected and rescue survivors
As the primary creative member on the team I generated all visual-based assets from placeholder examples. I provided creative direction for gameplay, UI/UX Design and Testing, environment design, and worked with another contractor on marketing materials.
The game is unavailable at this time, but check out Gamasutra's write-up on Dead Apocalypse!
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Service clusters
Estimated reading time: 5 minutesThese are the docs for UCP version 3.0.16
To select a different version, use the selector below.
In this example we will configure an eight (8) node Swarm cluster that uses service clusters to route traffic to different proxies. There are three (3) managers and five (5) workers. Two of the workers are configured with node labels to be dedicated ingress cluster load balancer nodes. These will receive all application traffic.
This example will not cover the actual deployment of infrastructure.
It assumes you have a vanilla Swarm cluster (docker init
and docker swarm join
from the nodes).
See the Swarm documentation if you need help
getting a Swarm cluster deployed.
We will configure the load balancer worker nodes (lb-00
and lb-01
) with node labels in order to pin the Interlock Proxy
service. Once you are logged into one of the Swarm managers run the following to add node labels
to the dedicated ingress workers:
$> docker node update --label-add nodetype=loadbalancer --label-add region=us-east lb-00
lb-00
$> docker node update --label-add nodetype=loadbalancer --label-add region=us-west lb-01
lb-01
You can inspect each node to ensure the labels were successfully added:
$> docker node inspect -f '{{ .Spec.Labels }}' lb-00
map[nodetype:loadbalancer region:us-east]
$> docker node inspect -f '{{ .Spec.Labels }}' lb-01
map[nodetype:loadbalancer region:us-west]
Next, we will create a configuration object for Interlock that contains multiple extensions with varying service clusters:
$> cat << EOF | docker config create service.interlock.conf -
ListenAddr = ":8080"
DockerURL = "unix:///var/run/docker.sock"
PollInterval = "3s"
[Extensions]
[Extensions.us-east]
Image = "docker/ucp-interlock-extension:3.0.16"
Args = ["-D"]
ServiceName = "interlock-ext-us-east"
ProxyImage = "docker/ucp-interlock-proxy:3.0.16"
ProxyArgs = []
ProxyServiceName = "interlock-proxy-us-east"
ProxyConfigPath = "/etc/nginx/nginx.conf"
ServiceCluster = "us-east"
PublishMode = "host"
PublishedPort = 80
TargetPort = 80
PublishedSSLPort = 443
TargetSSLPort = 443
[Extensions.us-east.Config]
User = "nginx"
PidPath = "/var/run/proxy.pid"
WorkerProcesses = 1
RlimitNoFile = 65535
MaxConnections = 2048
[Extensions.us-east.Labels]
ext_region = "us-east"
[Extensions.us-east.ProxyLabels]
proxy_region = "us-east"
[Extensions.us-west]
Image = "docker/ucp-interlock-extension:3.0.16"
Args = ["-D"]
ServiceName = "interlock-ext-us-west"
ProxyImage = "docker/ucp-interlock-proxy:3.0.16"
ProxyArgs = []
ProxyServiceName = "interlock-proxy-us-west"
ProxyConfigPath = "/etc/nginx/nginx.conf"
ServiceCluster = "us-west"
PublishMode = "host"
PublishedPort = 80
TargetPort = 80
PublishedSSLPort = 443
TargetSSLPort = 443
[Extensions.us-west.Config]
User = "nginx"
PidPath = "/var/run/proxy.pid"
WorkerProcesses = 1
RlimitNoFile = 65535
MaxConnections = 2048
[Extensions.us-west.Labels]
ext_region = "us-west"
[Extensions.us-west.ProxyLabels]
proxy_region = "us-west"
EOF
oqkvv1asncf6p2axhx41vylgt
Note that we are using “host” mode networking in order to use the same ports (80
and 443
) in the cluster. We cannot use ingress
networking as it reserves the port across all nodes. If you want to use ingress networking you will have to use different ports
for each service cluster.
Next we will create a dedicated network for Interlock and the extensions:
$> docker network create -d overlay interlock
Now we can create the Interlock service:
$> docker service create \
--name interlock \
--mount src=/var/run/docker.sock,dst=/var/run/docker.sock,type=bind \
--network interlock \
--constraint node.role==manager \
--config src=service.interlock.conf,target=/config.toml \
{ page.ucp_org }}/ucp-interlock:3.0.16 -D run -c /config.toml
sjpgq7h621exno6svdnsvpv9z
Configure Proxy Services
Once we have the node labels we can re-configure the Interlock Proxy services to be constrained to the workers for each region. Again, from a manager run the following to pin the proxy services to the ingress workers:
$> docker service update \
--constraint-add node.labels.nodetype==loadbalancer \
--constraint-add node.labels.region==us-east \
interlock-proxy-us-east
$> docker service update \
--constraint-add node.labels.nodetype==loadbalancer \
--constraint-add node.labels.region==us-west \
interlock-proxy-us-west
We are now ready to deploy applications. First we will create individual networks for each application:
$> docker network create -d overlay demo-east
$> docker network create -d overlay demo-west
Next we will deploy the application in the us-east
service cluster:
$> docker service create \
--name demo-east \
--network demo-east \
--detach=true \
--label com.docker.lb.hosts=demo-east.local \
--label com.docker.lb.port=8080 \
--label com.docker.lb.service_cluster=us-east \
--env METADATA="us-east" \
ehazlett/docker-demo
Now we deploy the application in the us-west
service cluster:
$> docker service create \
--name demo-west \
--network demo-west \
--detach=true \
--label com.docker.lb.hosts=demo-west.local \
--label com.docker.lb.port=8080 \
--label com.docker.lb.service_cluster=us-west \
--env METADATA="us-west" \
ehazlett/docker-demo
Only the service cluster that is designated will be configured for the applications. For example, the us-east
service cluster
will not be configured to serve traffic for the us-west
service cluster and vice versa. We can see this in action when we
send requests to each service cluster.
When we send a request to the us-east
service cluster it only knows about the us-east
application (be sure to ssh to the lb-00
node):
$> curl -H "Host: demo-east.local" http://$(docker node inspect -f '{{ .Status.Addr }}' lb-00)/ping
{"instance":"1b2d71619592","version":"0.1","metadata":"us-east","request_id":"3d57404cf90112eee861f9d7955d044b"}
$> curl -H "Host: demo-west.local" http://$(docker node inspect -f '{{ .Status.Addr }}' lb-00)/ping

<title>404 Not Found</title>

404 Not Found

nginx/1.13.6

Application traffic is isolated to each service cluster. Interlock also ensures that a proxy will only be updated if it has corresponding updates
to its designated service cluster. So in this example, updates to the us-east
cluster will not affect the us-west
cluster. If there is a problem
the others will not be affected.


{{ post.title | safe }}
{{ post.content| safe }}
{% extends 'base.html' %} {% block content %}
Your group list is empty, try joining new groups
{% else %} {% for group in current_user.groups %}The side widget displays message directly from the admins.


Click Me
This is Webpack example
OK
This is adding two numbers
+
Click Here
THE RESULTS ARE :
Hey MouseOver


About Me
My name is Carey Goodwin.
I graduated from Mariner High School in Everett, WA in 2004.
I served in the Navy for 8 years.
Also attended University of Phoenix for three years.
Now I am a student at Code Fellows learning to code amazing things!
Top 5 places I want to visit.
Sidney, Australia
New York, New York
London, England
Dublin, Ireland
San Francisco, California


In this chapter we discuss the use of chord inversions, where a subtle reordering of the notes in a chord can significantly alter its function. Inversions will give you access to a whole new harmonic toolset that allows more flexibility and creativity in your songwriting.


Police dog catches up with suspected North Okanagan truck thief
by Ben BulmerA 33-year-old man was arrested yesterday after he fled into the woods after police used a spike belt to stop a stolen pickup truck he was driving.
According to a Vernon North Okanagan RCMP media release, police were alerted to the Six Mile Creek Road area at around 8 a.m. yesterday, Nov. 18, following reports of a stolen pickup truck.
Police spotted the pickup driving in the area which then attempted to flee from police. A spike belt was used on the truck which continued to drive for a while before the driver abandoned the vehicle and fled into the woods.
The suspect was then tracked by police with the help of a police dog and the suspect arrested without incident a while later.
"Our officers did an outstanding job to track down the suspect," Sgt. Justin Thiessen said in the release.
The RCMP is recommending charges of possession of stolen property obtained by crime and breach of a probation order for the unidentified 33-year-old man arrested.


public static enum ExpressionGeneratorParallel.ExpressionType extends java.lang.Enum<ExpressionGeneratorParallel.ExpressionType>
| Enum Constant and Description |
|---|
ABS
A representation of the absolute value operation.
|
AVERAGE
A representation of the averaging operator.
|
COS
A representation of the cosine operation.
|
MULTIPLY
A representation of the multiplication operator.
|
POW
A representation of the exponentiation operation.
|
SIN
A representation of the sine operation.
|
VARIABLE
A representation of a variable.
|
| Modifier and Type | Field and Description |
|---|---|
private static java.util.List<ExpressionGeneratorParallel.ExpressionType> |
EXPRESSIONS
An unmodifiable list that contains the total list of expressions.
|
private static int |
SIZE
The size of the list of expressions.
|
| Modifier and Type | Method and Description |
|---|---|
(package private) abstract ExpressionParallel |
create()
The actual
ExpressionParallel is created here - it is dependent on the actual method definition as made within the enum definition. |
static ExpressionParallel |
generateRandomExpression()
Creates a random expression selected from the list,
EXPRESSIONS . |
static ExpressionGeneratorParallel.ExpressionType |
valueOf(java.lang.String name)
Returns the enum constant of this type with the specified name.
|
static ExpressionGeneratorParallel.ExpressionType[] |
values()
Returns an array containing the constants of this enum type, in
the order they are declared.
|
public static final ExpressionGeneratorParallel.ExpressionType VARIABLE
public static final ExpressionGeneratorParallel.ExpressionType MULTIPLY
public static final ExpressionGeneratorParallel.ExpressionType AVERAGE
public static final ExpressionGeneratorParallel.ExpressionType SIN
public static final ExpressionGeneratorParallel.ExpressionType COS
public static final ExpressionGeneratorParallel.ExpressionType ABS
public static final ExpressionGeneratorParallel.ExpressionType POW
private static final java.util.List<ExpressionGeneratorParallel.ExpressionType> EXPRESSIONS
private static final int SIZE
public static ExpressionGeneratorParallel.ExpressionType[] values()
for (ExpressionGeneratorParallel.ExpressionType c : ExpressionGeneratorParallel.ExpressionType.values()) System.out.println(c);
public static ExpressionGeneratorParallel.ExpressionType valueOf(java.lang.String name)
name
- the name of the enum constant to be returned.java.lang.IllegalArgumentException
- if this enum type has no constant
with the specified namejava.lang.NullPointerException
- if the argument is nullpublic static ExpressionParallel generateRandomExpression()
EXPRESSIONS
.ExpressionParallel
that has no preset arguments.abstract ExpressionParallel create()
ExpressionParallel
is created here - it is dependent on the actual method definition as made within the enum definition.ExpressionParallel
that has no preset arguments.


Collector Pippi:
If you want to know where Master Toma is, go to
Trader Mion
! Didn't I give you a Letter of Introduction?


ArtCinema
opened for its viewers July 15, 2015. It is located on the 3rd floor of the shopping and entertainment center "Titan" at
the metro station Petrovschina. In the
cinema there are 2 movie theaters equipped with the latest technology, which can comfortably accommodate 320
viewers. The
ArtCinema has all the technical innovations in the field of film screening, be it digital equipment or
equipment for showing films in 3D.


Click on any blue circle for spiderified markers. On every click, different number of markers will load.


Web developers use these languages when they create a site:
- HTML
- HyperText Markup Language describes the structure of the page and its contents.
- CSS
- Cascading Style Sheets describes how a site looks and even to some extent how it responds to certain events.
- JavaScript
- JavaScript is the programming language used to define the logic and function of a site beyond simple look and feel. Any computation or "thinking" is done using JavaScript.


Table of Contents
Outbound SAML
Outbound SAML setup from Gluu Server is pretty easy using the Gluu Server's oxTrust GUI. The following pieces of information are needed from the target website or application:
The three points above are described briefly below.
Metadata of website:
Metadata is a XML file which has configuration data used to provision any website (SP) or IDP (Gluu Server) to communicate with each other. It is interchangeable between the IDP and the SP.
Websites (SP) can provide metadata via URL or as a separate file. If the SP provides an separate XML file, the Gluu Server can check the integrity of that metadata with its own mechanism. This mechanism can be shown and tested from Gluu Server oxTrust GUI.
Required attribute of website:
Every organization has their own policy to release/share attributes with any IDP or SP. The Gluu Server supports, and can be configured for standard or custom attributes. This can be done from the Gluu Server oxTrust GUI.
SSO testing endpoint of website:
Every website (SP) should have both a staging and a production uri endpoint which can be checked for SSO, where the user will access to log into that SP.
Configuring Outbound SAML SSO
The Gluu Server's SAML capabilities are tightly integrated with Shibboleth.
SAML Trust Relationship
A Trust Relationship is the mechanism to create single sign-on to any SAML Service Provider (SP) from the Gluu Server SAML IDP. Trust Relationships can be created from within the GUI.
How to create Trust Relationship
In order to create a trust relationship with any SP:
- Go to SAML → Trust Relationships
- Click on “Add Relationship”
- A new page will appear. Here, as a Gluu Server administrator you need
to provide all the information regarding the SP to establish Trust
Relationship from Gluu Server.
- Display Name: Name of the Trust Relationship (it should be unique for every trust relationship)
- Description: Little description. Purpose and SSO link can be added here.
-
Metadata Type: Depending on trusted party’s metadata (SP), there are four available types in Gluu Server
- File: If SP has uploadable metadata in XML format, this option works best.
- URI: If the metadata of SP has uri link and accessible from internet, Gluu Server Administrator need to use this option.
-
Generate: Using Gluu Server to generate configuration files for SP is another big option when the SP is inhouse application or “Shibboleth SP” is installed or going to be installed in target application site (SP). How to install Shibboleth SP will help user to configure and install Shibboleth SP on their own area. Please note few things when you are going to use Generate method for your SP.
- URL : This is the
hostname of SP
- Public certificate : You
must
have to provide the certificate which is Base64 encoded ASCII file and contain "-----BEGIN CERTIFICATE-----" and "-----END CERTIFICATE-----". This certificatecan not be password protected
. - After creating the Trust Relationship, download the generated configuration files from
Download Shibboleth2 configuration files
link and place these configuration files inside your SP configuration.
- URL : This is the
-
Federation: If target application ( SP ) is affiliated with any Federation server (i.e: InCommon, NJEdge etc. ), this option of “Metadata Type” is required. Select “Federation” in Metadata Type and another drop down menu called “Select Federation” will appear. From this drop menu select desired Federation. In order to create this documentation we took “InCommon” Federation as an example.
After selecting the “Federation Name”, a new link named “Click to select entity id” will appear. From this link Gluu Server Administrator can select all SP’s entityIDs which are InCommon affiliated. Click on this link and another new SP entityID discovery page will appear like below image.
Gluu Server Administrator can grab any SP’s entityID from “Filter” box. As for example, Gluu Server Administrator is looking for Educause entityID.
-
Public certificate: Upload the public certificate for this SP server. Please note that: public certificate’s CN (common name) MUST maintain the hostname of the SP server. If the SP has no certificate then keep this option blank and the IdP will generate a self signed certificate.
-
Released: Release required attributes. Available attributes can be grabbed from upper left corner.
-
More configuration: If the SP requires custom relying party and/or custom MetadataFilter configuration, that can be achieved using the following options:
- Configure MetadataFilters: Click on this option and Gluu Server will allow you to configure MetadataFilters inside the GUI.
- Configure specific Relying Party: If the server admin “checks” this option a new link will appear which allows the server administrator to modify various relying party configurations like SAML2SSO, SAML2AttributeQuery, ShibbolethSSO etc.
After adding a new Trust Relationship, the server administrator will observe a confirmation page like the one below. Please note that for testing purposes we did not provide any certificates. The IdP created both the key and certificate by itself. The image below shows a sample Trust Relationship after successful creation.
Gluu Server administrator will be able to 'search' any trust relationship from 'Trust Relationship' search box. Searching syntax can be anything affiliated with specific Trust. It's also possible to see all Trusts by just hitting 'Search' button by keeping search box blank.


[1] Satellite ,HD resolutions are up to 1080p and Blu-Ray only 60hz refresh rate.
[2] Pressing mute creates a DVD or at home i would be my daughter 's room Deep blacks Vivid colors ,works great in a set i found but impossible with standard definition content e.g.


|
Mercedes Car Showroom Limited Edition
2.1
GUI interface for the showroom of three limited edition Mercedes models
|
Mercedes CLA Coupe car logic handler More...
Public Member Functions | |
| ThirdCar (string carBrand, Options.Color carColor, Options.Engine carEngine, int price) | |
| Car model constructor More... | |
| ThirdCar (string brand, Options.Color color, Options.Engine engine, string name, int price) | |
| Car model constructor with set name More... | |
| Public Member Functions inherited from ProjectApp.MercedesCar | |
| MercedesCar (string brand, Options.Color color, Options.Engine engine, int price) | |
| General car model constructor More... | |
| string | getCall () |
| Call cars provider to buy chosen ones More... | |
Public Attributes | |
| int [] | prices = new int[3] { 900000, 1290000, 1550000 } |
| Possible prices More... | |
Properties | |
| string | name [get, set] |
| Properties inherited from ProjectApp.MercedesCar | |
| string | brand [get, set] |
| Options.Color | color [get, set] |
| int | price [get, set] |
| Options.Engine | engine [get, set] |
| Properties inherited from ProjectApp.ICarType | |
| string | brand [get, set] |
| Options.Color | color [get, set] |
| int | price [get, set] |
Mercedes CLA Coupe car logic handler
| ProjectApp.ThirdCar.ThirdCar | ( | string | carBrand, |
| Options.Color | carColor, | ||
| Options.Engine | carEngine, | ||
| int | price | ||
| ) |
Car model constructor
| carBrand | Brand of the car |
| carColor | Color of the car |
| carEngine | Engine of the car |
| price | Erice of the car |
| ProjectApp.ThirdCar.ThirdCar | ( | string | brand, |
| Options.Color | color, | ||
| Options.Engine | engine, | ||
| string | name, | ||
| int | price | ||
| ) |
Car model constructor with set name
| brand | Brand of the car |
| color | Color of the car |
| engine | Engine of the car |
| name | Name of the car |
| price | Price of the car |
| int [] ProjectApp.ThirdCar.prices = new int[3] { 900000, 1290000, 1550000 } |
Possible prices


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--- layout: post title: Add 2-Factor Authentication to WordPress date: 2013-11-22 20:48:38.000000000 +07:00 categories: - WordPress tags: - 2FA - google authenticator - security ---
This article is both a security tip and a tutorial to my WP Google Authenticator plugin.
2-factor authentication is a simple and efficient way to enforce security for your WordPress site. This will ensure you only can login to the WordPress dashboard with your credentials.
It is also referred to as 2-step verification. The standard way to log in your WordPress dashboard is to use a classic username / password couple. The problem with this is that security is low. A lot of people are debating about this system, arguing that it should not be used anymore.
There are two main possible ways for an attacker to get into your WordPress dashboard without too much difficulty:
2-factor authentication enforces security by requesting a one time password in addition to the username / password couple. This one time password is based on the current time, that's what makes it unique. You will generally receive this password by e-mail, SMS or via a dedicated app.
In our case, we will use a dedicated app: Google Authenticator.
EDIT: You can also use Authy which is a pretty good app. Its main advantage being that you can sync your profiles between different devices (computer, phone, tablet...).
This app, developed by Google, obviously, is available on iPhone, Android and Blackberry. Of course, this mean you will need to have your phone with you every time you need to login to your site.
First of all, obviously, download and install the plugin. You can find it on the WordPress Extend: WP Google Authenticator, or search for "WP Google Authenticator" directly in your WordPress dashboard.
Once installed and activated, the plugin will add a new sub-menu to the "Settings" item.
Here you have just a few options. Enough to make your site more secure, and few enough to get it working in 2 minutes.
Let's see all these options quickly:
Three steps are required to completely enable the 2FA on your site:
That's it! You WordPress site in now protected with 2-factor authentication.


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“In the mediaeval imagination, this was a region of uttermost dread… where the heavens fling down liquid sheets of flame and the waters boil… where serpent rocks and ogre islands lie in wait for the mariner, where the giant hand of Satan reaches up from the fathomless depths to seize him, where he will turn black in face and body as a mark of God's vengeance for the insolence of his prying into this forbidden mystery. And even if he should be able to survive all these ghastly perils and sail on through, he would then arrive in the Sea of Obscurity and be lost forever in the vapours and slime at the edge of the world.”
Peter Forbath, The River Congo : The Discovery, Exploration And Exploitation Of The World's Most Dramatic River (1977)


PNSN Realtime Seismic Trace Display
Time Interval for each channel is 5 minutes
Streaming data from PNSN using WebSWave
Delay from realtime is about 4 seconds.


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Welcome to ProPizza
Choose Pizza Size:
Mega
Large
Medium
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Whats your preffered crust:
Crispy
Stuffed
Gluten-Free
Brooklyn
What topping would you like:
Pepperoni
Mushroom
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| # | File | Line | Problem |
|---|---|---|---|
| 1 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/applock/AppLockerActivity.java | 103 | super should be called at the end of the method |
| 2 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/applock/LockAppMonitorService.java | 107 | super should be called at the end of the method |
| 3 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/appointments/AppointmentAddEditActivity.java | 400 | super should be called at the start of the method |
| 4 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/billing/invoices/InvoicesFragment.java | 359 | super should be called at the end of the method |
| 5 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/billing/payment/PaymentsFragment.java | 277 | super should be called at the end of the method |
| 6 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/emr/clinicalnotes/CODINFragment.java | 55 | super should be called at the end of the method |
| 7 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/emr/prescription/PrescriptionsFragment.java | 244 | super should be called at the end of the method |
| 8 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/emr/procedures/ProceduresFragment.java | 374 | super should be called at the end of the method |
| 9 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/launcher/lock/MyService.java | 18 | super should be called at the start of the method |
| 10 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/patients/CharacterListFragment.java | 49 | super should be called at the start of the method |
| 11 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/patients/PatientListFragment.java | 234 | super should be called at the end of the method |
| 12 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/practice/PhotoListFragment.java | 97 | super should be called at the end of the method |
| 13 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/practice/SidebarFragment.java | 121 | super should be called at the end of the method |
| 14 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/receiver/SyncChecker.java | 48 | super should be called at the end of the method |
| 15 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/registration/CameraFragment.java | 77 | super should be called at the end of the method |
| 16 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/registration/PhotoCaptureFragment.java | 223 | super should be called at the end of the method |
| 17 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/service/PractoServices.java | 361 | super should be called at the end of the method |
| 18 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/settings/PatientListFragment.java | 254 | super should be called at the end of the method |
| 19 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/settings/SettingNavigationFragment.java | 107 | super should be called at the end of the method |
| 20 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/settings/doctor/DoctorListFragment.java | 268 | super should be called at the end of the method |
| 21 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/tabusers/PracticeListFragment.java | 116 | super should be called at the end of the method |
| 22 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/tabusers/UserLoginActivity.java | 118 | super should be called at the end of the method |
| 23 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/tabusers/UserPinActivity.java | 66 | super should be called at the end of the method |
| 24 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/wallpaper/WallpaperChooserDialogFragment.java | 82 | super should be called at the end of the method |
| 25 | /home/rizwan/repo/newtab/tab/PractoRay/src/com/practo/ray/wallpaper/WallpaperChooserDialogFragment.java | 103 | super should be called at the end of the method |


Form fields are used to both request desired information from a user as well as receive that input. When requesting an input from a user, make sure it is clear what is being requested. This can be gleaned from the context of the input field, but more often it will be from an input label or placeholder. If the input format needs to be specific, create a visible hint that expresses the format to the user through a placeholder.


Team Photos
Implementation Team for UK
Group Photo
Implementation Team For US
Group Photo
Harry
Project Director


The Ultimate Guide To Select A Birthday Venue
Posted by Nishant Nath at 18 Feb, 2019 Last Updated: 19 Feb, 2019Selecting an event venue is much like choosing what to wear to a party. Unless you have that killer outfit selected - your accessories can only do so much and often without the proper attire - your accessories begs the question - Overcompensation Much? Selecting the proper event venue sets the tone for rest of the planning process - the theme, the decor, the food/catering, events and celebration. As this process can be overwhelming we thought we would share some tips to help with the anxiety and help ease the process because hospitality is what we do best.
- Guests - Life Of The Party. Who & How Many?
- Location - Convenience for your guests & self
- Weather - Outdoors or Indoors?
- Ambience
- Budget - It's easy to forget but it'll stick with you
- Restrictions - Questions you should definitely ask!
- Alcohol - Do you permit? Do you serve?
- Firecrackers - Do you allow those? Fire Risks? Mitigation?
- Timings - Noise? Going overtime?
- Security - What happens when ...?
- Amenities you might need but you didn't think of them yet.
Deciding on whom to invite (and whom to skip) can be a trying process. Friendships, peer
pressure and need to please everybody can often be a force too strong. We suggest
nailing down a quick list and keeping a buffer of 10% of the quick list from the top of
your head as your final guest list. If you didn't think of them while making the quick
list - do you really want them around? This helps you choose between small/medium/large
sized venues.
Sankalp Media & Convention offers 3 banquet halls that can
accommodate from as little as 50 people to upto 800 people in a single banquet hall. And
if you intend to invite the whole city - well all 3 banuqet halls combined can easily
accommodate upto 1500 guests. Check out our individual banquet
halls in our Gallery.
Location of the venue, how well is it connected to the city and convenience of finding,
getting there and parking are some of the constraints one should be aware of from the
get go. You don't want your best friend missing your party because they had to travel
1.5 hours to middle of nowhere because oops you didn't think about location constraints.
Sankalp Media & Convention is located very close to Infocity Square on the
Tech Corridor Main Road. With an easy to spot impeccable building with our name on it
and right in front of Sai Temple (because every auspicious occasion deserves the
blessing of the almighty) you wouldn't have to worry about location constraints. It is
well connected with the city via Public Bus #225 & # 306 and auto-rickshaws.
Considering traffic is light, it's just
6 min walk to Infocity Square, 5 mins by Car to Patia Chowk, 12
mins to Nandankanan, 15 min by Car to Saheed Nagar, 20 mins by Car to IRC Village, 25
mins by Car to Old Town. Wherever you live in Bhubaneswar you are less than 30 mins away
from the perfect banquet hall for your event.
Picking the location has lots to do with the weather. Choosing an outdoor venue when
rains are expected can well lead to ... a drenched situation (and not the fun-kind).
If it's indoors and you pick a non-airconditioned hall when Surya Dev (Sun God) seems to
be having a hay day can again lead to a drenched situation - and no body wants to smell
like they came straight from gym in their party clothes.
Click on this link to check the weather predictions
Sankalp Media & Convention offers only indoors venue, fully air-conditioned
with exquisite decor so rain-or-shine the party isn't going to stop.
Have you ever felt like stuck in the 70's while trying rock that millenial mohawk? We
feel that way when we see some of the older banquet halls. Old, Basic and Bland - thats
not our leftovers in the refrigerator - thats the banquet hall you could be making the
mistake of renting.
Our banquet halls' modern, eclectic and exuberant ambience will immediately make you
fall in love with it. Our tastefully designed interiors and on-target modern decor
complements our belief in the digital age - with Music & PA System, LED Display Screens
and Premium Video Wall - you are all set to dazzle your guests and maybe play that
carefully curated video/slideshow for the special ones. Your friends, family and
well-wishers could not be any happier on your decision to rent our event space. We
suggest taking a tour of our facility to experience what you just read.
Deciding on whether you are planning an Ambani style multi-million dollar international
event or a close intimate gathering of loved ones is imperative. We believe luxury
doesn't necessarily need to come with a heavy price. Deciding on the budget early on
will help you keep your costs in control as well as appropriate money towards different
parts of the planning.  A quick back of the envelope budgeting
for various heads like venue fees, decor, catering, gifts, clothes and miscellaneous
will save you heartburn in the long-run.
It's also important to pick a venue carefully in this regards. Do you want to rent a
cheap dilapidated venue and spend a lot on decor or do you want to rent a tastefully
decorated venue with minimal decor overheads? Do you want to rent a venue where you feel
like you got a great deal but force you to use their caterers and realize later they
just ripped you off by overcharging you for below-standard meal?
  One
of the great things about dealing with us is - our transparency in dealing with our
clients. We will be upfront with you regarding costs, fees and charges so you can make
an informed decision. No haggling or spamming or incessant calls to get your business
because we believe in graceful hospitality and your satisfaction is what we are striving
for.
Sankalp Media & Convention not only offers well designed luxurious exteriors
and interiors, it allows you to pick and choose your own decorators as it fits your
budget. Our clients often comment how less they had to spend on decoration because the
banquet halls were already so well decorated. We also allow external caterers of your
choice. We would be happy to suggest a list of decorators and caterers who have
successfully implemented events for our previous clients and let you choose.
It's easy to forget some of the basic restrictions while planning an event. So we compiled a list of these for your convenience. Treat this as your checklist but don't limit yourself to only these.
Sankalp Media & Convention has a few restrictions which can often be relaxed and worked around depending on client needs. We suggest you reach out to us early so we can work out a plan to ensure your event has all the facilities you desire. We can't promise the stars and moon but we can definitely promise trying hard to get you those because your satisfaction is what we are striving for.
Have you ever booked a 5th floor banquet hall only to realize, the building doesn't have an elevator? Basic oversight can often lead to anguish. Let us help you with some pointers.
| Services Available | We Offer |
|---|---|
| Exquisite Decor | ✔ |
| Best in class lighting | ✔ |
| Best in class acoustics | ✔ |
| Photo props & Selfie Corners | ✔ |
| Ample on-site parking | ✔ |
| Complimentary Suites | ✔ |
| Elevators | ✔ |
| Premium AV Recording | ✔ |
| Live Streaming Facility | ✔ |
| On-site Studio | ✔ |
| On-site Security | ✔ |
| Fire Safety | ✔ |
BONUS TIP: Start early. The earlier you start planning the better you can. With the luxury of time you can evaluate more options, think those over and make an informed decision. Also, booking early gets you a better deal because remember "Early Bird Gets The Prey"
If you decide to settle for an affordable option with not so quality space, then remember, you’ll have to eventually spend more on décor to spruce it up. So, go with an option where you would need little décor and which fits impeccably into your budget.


Changes log (2005-02-03)
+ functional - added haltonfailure attribute on resolve and retrieve task, so that build can be halt when resolve or retrieve fails - added dependency artifacts filtering feature, enabling to work better with ibiblio - ibiblio resolver can now be configured to use any maven like repository, with root and pattern attributes - added download progression info on resolve - default cache is now in user home (.ivy-cache in user home), so that cache is shared by default for all projects of the same user - added public access to method getDependencies(...) in Ivy, which resolve dependencies without downloading artifacts - added DualResolver, which allows to have ivy files in one place and artifacts in another one + non functional - added some unit tests - deep review of ivy file reference documentation + bugs and refactoring - bug fix: SimpleURLResolver not handling the case when there is no ivy file - refactoring: URLResolver renamed to AbstractURLResolver - refactoring: SimpleURLResolver renamed to URLResolver
Downloads
ivy-0.6-bin.zip
(935 kB)
ivy-0.6-src.zip
(723 kB)
ivy-0.6-src-withdep.zip
(986 kB)


State
standing still
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