Gelfand: Chunk 6 - Squares, Sums, Differences etc.
December 17, 2016
Now that we have a bunch of the fundamentals and some conventions and core tricks in place, things can start to get fun. First up are the collection known as the “Short Multiplication Formulas”.
There are three of them;
- The Square of a Sum
- The Square of a Difference
- The Difference of Squares
I’d advise you pay close attention to what follows. These things are going to pop up a lot in your mathematical journey.
1. General Definition of Square of a Sum
We saw in the previous post that when you multiply two sums you multiply each term in the first by each term in the second, and then add up all the products.
The thing that is defined as the “Square of a Sum” is a special case of this - when the numbers in the parentheses are the same, like so
Or as it is more formally stated (and more obviously a “Square of a Sum” - there is a sum of and , and then you multiply that by itself, thereby squaring it)
Why is this a thing? Because it allows us to short-cut a form of multiplication which, it turns out, we’ll see a lot from now on.
Detour: The Sum of Two Squares
Be careful, the Square of a Sum is not the same as a Sum of two Squares. The latter’s not something “official”, and I’m only bringing it out explicitly here for clarity.
The sum of the squares would be (if it was a thing)
You can see that the sum of a square is less than the square of two sums.
So why is it not “a thing”? It’s because there’s not much general call for it. The others on the other hand, pop up quite a lot.
2. General Definition of the Square of a Difference
Of course, sometimes you are dealing with negative rather then positive numbers (or one number minus another it’s the same thing). When this happens, you are taking things away rather than adding them. This is where the Square of a Difference comes in (the “difference” here is what’s left after you subtract from )
Another way to state this is in words:
“The Square of a Difference is the Sum of two Squares minus two times the product of the terms”.
3. General Definition of the Difference of Squares
Finally we have the Difference of Squares. This comes into play when you are subtracting one square from another
All Together Now: “The Short Multiplcation Formulas”
Let’s put all these next to each other. Together, these two are know as the “Short Multiplication Formulas”. It’s easy to see why - they shorten (and simplify) multiplcation for you. It’s worth at this point laying them out next to each other to see their comparative sizes.
The largest is the Square of a Sum and the next after that is the Square of a Difference, with the Difference of Squares bringing up the rear.
Why and not ? Because one or both of the terms might be .
Tricks Arising
Hard Squares can be Split out into Simpler Pieces
Again following on from some of the break-out tricks from post 2 (Commutative, Associative and Distributive Laws) you can split a square you can’t calculate simply into two you can, apply the Square of a Sum pattern, and add the results.


This is a port of Play!, a PlayStation2 emulator, running in a web browser. This is only an experiment and is not meant to play all games that are currently supported by the emulator on desktop and mobile.
Supported file types: ISO, CSO, CHD, ISZ, BIN, ELF.
No BIOS file required.
Recent version of Chrome or Firefox required for a smoother experience.
| PS2 Controller | Keyboard |
|---|---|
| D. Pad | Arrow Keys |
| Left Analog Stick | F, H, T, G |
| Right Analog Stick | J, L, I, K |
| Square | A |
| Cross | Z |
| Triangle | S |
| Circle | X |
| PS2 Controller | Keyboard |
|---|---|
| Start | Return |
| Select | Backspace |
| L1 | 1 |
| L2 | 2 |
| L3 | 3 |
| R1 | 8 |
| R2 | 9 |
| R3 | 0 |


It's more than just visuals -Korean GP reveals why they like BTS V
by thepopscenePreviously, You Tube Channel JerryRIc took a survey on the streets to ask Korean GP who they think is the most handsome member of Global Superstars BTS- and BTS V turned out to be the unanimous choice. No doubt that the most handsome man in the world easily captivated people with his strong visuals, and undeniable charisma.
Now that it's been established that BTS V's appearance have captivated most of Korean GP's attention, JerryRIc conducted another survey to know why they like BTS V in general- and their honest answers did not disappoint.
Koreans revealed that aside from his looks, they admire BTS V because of his singing and they love his voice, specifically its husky quality.
Others praised BTS V's dancing skills, by saying he is one of the best dancers of BTS.
To top it all, BTS V swooned them over by naming him as the ideal type of guy Koreans like with his kindness, personality and even his fashion!
BTS V's popularity is unquestionable whether in Korea and Globally and knowing that his impact is not only because of his visuals is music to one's ears-because this heart breaker, with his multitude of talents and his warm personality will always prove that there is always more than meets the eye.
Watch the full video here:


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11.4. Kafka Command Line Tools¶
Run geomesa-kafka
without any arguments to produce the following usage text:
$ geomesa-kafka
Usage: geomesa-kafka [command] [command options]
Commands:
classpath Display the GeoMesa classpath
configure Configure the local environment for GeoMesa
convert Convert files using GeoMesa's internal SFT converter framework
create-schema Create a feature definition in GeoMesa
get-schema Describe the attributes of a given feature in GeoMesa
get-names List GeoMesa features for a given zkPath
help Show help
listen Listen to a GeoMesa Kafka topic
remove-schema Remove a schema and associated features from GeoMesa
version GeoMesa Version
This usage text lists the available commands. To see help for an individual command,
run geomesa-kafka help <command-name>
, which for example will give you something like this:
$ geomesa-kafka help get-names
List GeoMesa features for a given zkPath
Usage: get-names [options]
Options:
* -b, --brokers
Brokers (host:port, comma separated)
-p, --zkpath
Zookeeper path where feature schemas are saved
* -z, --zookeepers
Zookeepers (host[:port], comma separated)
11.4.1. Command overview¶
<IP_ADDRESS>. configure¶
Used to configure the current environment for using the commandline tools. This is frequently run after the tools are first installed to ensure the environment is configured correctly:
$ geomesa configure
<IP_ADDRESS>. create-schema¶
Used to create a feature type (SimpleFeatureType
) at the specified zkpath:
$ geomesa-kafka create-schema -f testfeature \
-z zoo1,zoo2,zoo3 \
-b broker1:9092,broker2:9092 \
-s fid:String:index=true,dtg:Date,geom:Point:srid=4326 \
-p /geomesa/ds/kafka
<IP_ADDRESS>. get-schema¶
Display details about the attributes of a specified feature type:
$ geomesa-kafka get-schema -f testfeature -z zoo1,zoo2,zoo3 \
-b broker1:9092,broker2:9092 -p /geomesa/ds/kafka
<IP_ADDRESS>. get-names¶
List all known feature types in Kafka:
$ geomesa-kafka get-names -z zoo1,zoo2,zoo3 -b broker1:9092,broker2:9092
If no --zkpath
parameter is specified, the get-names
command will search all of zookeeper for potential feature types.
<IP_ADDRESS>. listen¶
Logs out the messages written to a topic corresponding to the feature type passed in.
- $ geomesa-kafka listen -f testfeature
- -z zoo1,zoo2,zoo3 -b broker1:9092,broker2:9092 -p /geomesa/ds/kafka –from-beginning
<IP_ADDRESS>. remove-schema¶
Used to remove a feature type (SimpleFeatureType
) in a GeoMesa catalog. This will also delete any feature of that type in the data store:
$ geomesa-kafka remove-schema -f testfeature \
-z zoo1,zoo2,zoo3 \
-b broker1:9092,broker2:9092 \
-p /geomesa/ds/kafka
$ geomesa-kafka remove-schema --pattern 'testfeature\d+' \
-z zoo1,zoo2,zoo3 \
-b broker1:9092,broker2:9092 \
-p /geomesa/ds/kafka
<IP_ADDRESS>. version¶
Prints out the version, git branch, and commit ID that the tools were built with:
$ geomesa version
11.4.2. Formatting GeoMesa Kafka Messages¶
The KafkaGeoMessageFormatter
class,
part of the geomesa-kafka-datastore
module, may be
used with the kafka-console-consumer
Kafka command-line tool. In order
to use this formatter, call kafka-console-consumer
with these
additional arguments:
Note
Replace $KAFKAVERSION
below with the appropriate version number for your environment: 08, 09, or 10.
e.g. org.locationtech.geomesa.kafka08.KafkaGeoMessageFormatter
--formatter org.locationtech.geomesa.kafka$KAFKAVERSION.KafkaGeoMessageFormatter
--property sft.name={sftName}
--property sft.spec={sftSpec}
In order to pass the spec via a command argument all %
characters
must be replaced by %37
and all =
characters must be replaced by
%61
.
A slightly easier to use but slightly less flexible alternative is to
use the KafkaDataStoreLogViewer
instead of the
kafka-console-consumer
. To use the KafkaDataStoreLogViewer
first
copy the geomesa-kafka-geoserver-plugin.jar to $KAFKA_HOME/libs. Then
create a copy of $KAFKA_HOME/bin/kafka-console-consumer.sh called
“kafka-ds-log-viewer” and in the copy replace the classname in the exec
command at the end of the script with
org.locationtech.geomesa.kafka$KAFKAVERSION.KafkaDataStoreLogViewer
.
The KafkaDataStoreLogViewer
requires three arguments:
--zookeeper
, --zkPath
, and --sftName
. It also supports an
optional argument --from
which accepts values oldest
and
newest
. oldest
is equivalent to specifying --from-beginning
when using the kafka-console-consumer
and newest
is equivalent
to not specifying --from-beginning
.
For example:
$ kafka-ds-log-viewer --zookeeper {zookeeper} --zkPath {zkPath} --sftName {sftName}
The KafkaDataStoreLogViewer
loads the SimpleFeatureType
from
Zookeeper so it does not need to be passed via the command line.


Hey guys, I am using GetProcAddress to simulate the Virtual Location of a function inside the dll "getcomputername()" of kernerl32.dll because apparently this function normally gets detected by AV as a trojan.heuristic? Anyways! Here's the call
And when my program gets to this point after execution it crashes. This is the "details" section of the crash report: http://postimg.org/image/dvswsf39r/
I have no idea why this error is caused since it didn't occur when I ran this same program last night. Now I log on, I didn't change anything since, and it's occurring during execution. Any ideas guys? Thanks!
You didn't allocate space for your szTmp. That's one of the reason.
And I don't know if you have validated the szProcAddress before calling it. Maybe you were trying to get the proc address of GetComputerName instead of GetComputerNameA?
@ OP: Notice the inclusion of the 'A' at the end of the function name in modoran's call to "GetProcAddress()", this is critical. Most applications will only have either the unicode or the ASCII version of a function present and if you don't know which one to call you can dump the imported function names with the 'strings' utility from SysInternals: http://technet.microsoft.com/en-us/sysinternals/bb842062.aspx


The driver will now practice and try to learn how to drive better using your car.
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- Via spatial arrangement of meat.
The following rules apply:
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Moderator: Karl G.
maik wrote:My GF is gettin all grumpy when I'm playing, so I've learned to not play when she's here ;o
maik wrote:Hehe, sounds nice, my GF hates computer games except like the builtin games with windows and stuff
Only thing she cares about is soccer, hockey and that kind of sports, but that's fun too
marzuku wrote:lol, as expected of the dreadful rabit!
my girlfriend noticed after like 3-4 months that i went totally afk from real life once i touched a computer
but once she starts her techniques of getting me of the computer she usually succeed's but then after when i have my way with her im back on the computer like a rabit goes after those big orange things, what are they called? CARROTS! yeh..
marzuku wrote:rofl, you cant classify eating bad things and staying up late as insomnia
test show that the usual computer "Gamer"(yep that means us) uses about 2-3 hours before he can sleep if he has been on the computer.
my problem used to be that i was constantly thinking about stuff in my head from how my series would end, day dreams, etc.. and i also noticed once i stop eating junk food i got tons better sleep, though im now a grape addict.
Karl G. wrote:
Yes, Wacoo is right.
WACOO wrote:I say.
- Stfu bi.tch im playing, don't disturb me.
or
- Go make me some food.
works wonders, thank me later.
Rabit561 wrote:
try hitting her.
Rabit561 wrote:more WoW for me then
Karl G. wrote:
Yes, Wacoo is right.
WACOO wrote:Rabit561 wrote:more WoW for me then
WoW is totaly gone for me, done every single thing in that game, achieved everything.
nothing new anymore
Karl G. wrote:
Yes, Wacoo is right.
marzuku wrote:lol lol spam spam.
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Point Cloud Registration as Optimization, Part One
In this post, I want to talk about how, mathematically, one can formulate point cloud registration as an optimization problem. Point cloud registration is used for egomotion estimation, 3d object tracking, and more.
What is point cloud registration? Let’s start with a motivating picture:
Here, the reader will see two sets of points, otherwise called clouds. As displayed, it is not immediately clear that there is any similarity between the two point clouds, at all. However, if we apply a particular homogeneous transformation to the "source" cloud, we get the following:
So, the "source" distribution is related to the "target" distribution by a homogeneous transformation; after applying this transformation, the registration error is 0. Why is this useful? Well, if we have prior knowledge of the sensor state before observing the two point distributions, we could use this information to determine motion of the sensor and/or an object in between observations. This information would be very useful in estimating sensor pose or tracking an object.
The million-dollar question then becomes:
How do we find the homogeneous transformation that best aligns the two point clouds?
This question really requires the solution of two problems:
- Find the best set of correspondences between the source and target point clouds
- Using that set of correspondences, find the optimal homogeneous transformation
In this post, I discuss how to formulate the first problem mathematically.
What is a "correspondence"?
A correspondence is a way of defining similarity between points taken from two distinct point clouds: the so-called source and target clouds. "Similarity", in this sense, means invariance of the set pairwise distances between a Point A, from the source cloud, and other points in the source cloud when compared with a corresponding Point B, from the target cloud, and a subset of other points in the target cloud.
I have added the caveat "a subset" because, in practice, it is assumed that the number of source points, \(m\), is less than the number of target points, \(n\). This is to allow for more robust matching.
Finding optimal correspondences
Now, onto the crux of the matter: How to find the best correspondences?
Let’s start by defining a discrete state-space for matches, \(X = \{0, 1\}^{mn}\), where \(\mathbf{x} \in X\) can be represented as:
\[x_{in+j} = \begin{cases} 0 & \text{point $i$ does not match point $j$} \\ 1 & \text{point $i$ matches point $j$} \end{cases},\]\(i\) is a point in the source cloud, \(j\) is a point in the target cloud, \(m\) is the number of source points, and \(n\) is the number of target points. \(m < n\), by assumption, avoids overconstraining the matching problem.
The “best correspondences” problem can be formulated as an optimization problem:
Find the vector \(\mathbf{x}^*\) that maximizes the quadratic objective function: \(\begin{eqnarray} f(\mathbf{x}) = \sum_{ijkl} w_{ijkl} x_{in+j} x_{kn+l} \end{eqnarray}\)
where
\[\begin{eqnarray} w_{ijkl} = \exp{[-d_{ijkl}]} \\ d_{ijkl} = \bigl | ||\mathbf{p}_i - \mathbf{p}_k||_2 - ||\mathbf{p}_j - \mathbf{p}_l||_2 \bigr |. \end{eqnarray}\]
\(\mathbf{p}_i, \mathbf{p}_k\) are the 3d cartesian coordinates of points \(i\) and \(k\) in the source cloud, whereas \(\mathbf{p}_j, \mathbf{p}_l\) are the 3d cartesian coordinates of points \(j\) and \(l\) in the target cloud.
The \(d\) value above is interpreted as a pairwise consistency metric: the smaller the value of \(d\), the better the correspondence between the pair \((i, k)\) in the source cloud to the pair \((j, l)\) in the target cloud. By adding the \(\exp[\cdot]\) function, stronger correspondences will be weighted exponentially higher than weaker ones, which will favor better matches during the search for the optimal \(\mathbf{x}^*\).
There are some additional factors to consider; namely, what are the constraints on \(\mathbf{x}^*\)? For one, only one source point can be matched to a target point, and vice-versa. Moreover, we want every source point to be matched to a target point. Mathematically, these constraints can be stated as:
\[\begin{eqnarray} \sum_{j=0}^{n-1} x_{in+j} = 1 \ \ \forall i \in [0, m)\\ \sum_{j=0}^{n-1} x_{mn+j} = n - m \\ \sum_{i=0}^{m} x_{in+j} = 1 \ \ \forall j \in [0, n) \end{eqnarray}\]where the slack variables \(x_{mn+j}, 0 \le j < n\) are added to address the target points that are not matched to a source point.
Now, we have everything we need to find the optimal \(\mathbf{x}^*\) right? Well, not quite. It turns out that the problem, as presented, is NP-hard! In a future post, I will discuss how to relax the problem presented to make it solvable with a continuous optimization approach.
Once we have the solution to the correspondence problem, we can find the best homogeneous transformation between the source and target point clouds using Kabsch’s algorithm. But, this will come in the next post.
Summary
In this post, I presented point cloud matching as an optimization problem. I developed the mathematical framework needed to describe the problem. I will present a method for solving the relaxed problem in a future post. If you don’t want to wait, you can check out the working repo here.
Thanks for reading!


Configuring NFS Storage for Kubernetes
Estimated reading time: 7 minutesUsers can provide persistent storage for workloads running on Docker Enterprise by using NFS storage. These NFS shares, when mounted into the running container, provide state to the application, managing data external to the container’s lifecycle.
Note: Provisioning an NFS server and exporting an NFS share are out of scope for this guide. Additionally, using external Kubernetes plugins to dynamically provision NFS shares, is also out of scope for this guide.
To mount existing NFS shares within Kubernetes Pods, we have 2 options:
- Define NFS shares within the Pod definitions. NFS shares are defined manually by each tenant when creating a workload.
- Define NFS shares as a Cluster object through Persistent Volumes, with the Cluster object lifecycle handled separately from the workload. This is common for operators who want to define a range of NFS shares for tenants to request and consume.
Defining NFS Shares in the Pod definition
When defining workloads in Kubernetes manifest files, an end user can directly reference the NFS shares to mount inside of each Pod. The NFS share is defined within the Pod specification, which could be a standalone pod, or could be wrapped in a higher-level object like a Deployment, Daemonset, or StatefulSet.
The following example includes a running UCP cluster and a downloaded client bundle with permission to schedule pods in a namespace.
Here is an example pod specification with an NFS volume defined:
$ cat nfs-in-a-pod.yaml
kind: Pod
apiVersion: v1
metadata:
name: nfs-in-a-pod
spec:
containers:
- name: app
image: alpine
volumeMounts:
- name: nfs-volume
mountPath: /var/nfs # Please change the destination you like the share to be mounted too
command: ["/bin/sh"]
args: ["-c", "sleep 500000"]
volumes:
- name: nfs-volume
nfs:
server: nfs.example.com # Please change this to your NFS server
path: /share1 # Please change this to the relevant share
To deploy the pod, and ensure that it started up correctly, use the kubectl command line tool.
$ kubectl create -f nfsinapod.yaml
$ kubectl get pods
NAME READY STATUS RESTARTS AGE
nfs-in-a-pod 1/1 Running 0 6m
Verify everything was mounted correctly by getting a shell prompt within the container and searching for your mount.
$ kubectl exec -it nfs-in-a-pod sh
/ #
/ # mount | grep nfs.example.com
nfs.example.com://share1 on /var/nfs type nfs4 (rw,relatime,vers=4.0,rsize=262144,wsize=262144,namlen=255,hard,proto=tcp,timeo=600,retrans=2,sec=sys,clientaddr=<IP_ADDRESS>,local_lock=none,addr=nfs.example.com)
/ #
Because you defined the NFS share as part of the Pod spec, neither UCP nor Kubernetes knows anything about this NFS share. This means that when the pod gets deleted, the NFS share is unattached from the Cluster. However, the data remains in the NFS share.
Exposing NFS shares as a Cluster Object
For this method, use the Kubernetes Objects Persistent Volumes and Persistent Volume Claims to manage the lifecycle and access to NFS Shares.
Here you can define multiple shares for a tenant to use within the cluster. The Persistent Volume is a cluster wide object, so it can be pre-provisioned. A Persistent Volume Claim is a claim by a tenant for use of a Persistent Volume within their namespace.
Note: In this case, ‘NFS share lifecycle’ is referring to granting and removing the end user’s ability to consume NFS storage, not managing the lifecycle of the NFS Server.
Persistent Volume
Define the Persistent Volume at the cluster level:
$ cat pvwithnfs.yaml
apiVersion: v1
kind: PersistentVolume
metadata:
name: my-nfs-share
spec:
capacity:
storage: 5Gi # This size is used to match a volume to a tenents claim
accessModes:
- ReadWriteOnce # Access modes are defined below
persistentVolumeReclaimPolicy: Recycle # Reclaim policies are defined below
nfs:
server: nfs.example.com # Please change this to your NFS server
path: /share1 # Please change this to the relevant share
To create Persistent Volume objects at the Cluster level, you need a Cluster Role Binding grant. Again use the kubectl command line tool to create the volume:
$ kubectl create -f pvwithnfs.yaml
$ kubectl get pv
NAME CAPACITY ACCESS MODES RECLAIM POLICY STATUS CLAIM STORAGECLASS REASON AGE
my-nfs-share 5Gi RWO Recycle Available slow 7s
Access Modes
The access mode for a NFS Persistent Volume can be any of the following modes:
- ReadWriteOnce – the volume can be mounted as read-write by a single node.
- ReadOnlyMany – the volume can be mounted read-only by many nodes.
- ReadWriteMany – the volume can be mounted as read-write by many nodes.
The access mode in the Persistent Volume definition is used to match a Persistent Volume to a Claim. When a Persistent Volume is defined and created inside of Kubernetes, a Volume is not mounted. See access modes in the Kubernetes documentation, for more details.
Reclaim
The reclaim policy is used to define what the cluster should do after a Persistent Volume has been released from a Claim. A Persistent Volume Reclaim policy could be: Reclaim, Recycle and Delete. See Reclaiming in the Kubernetes documentation for a deeper understanding.
Persistent Volume Claim
A tenant can now “claim” a Persistent Volume for use within their workloads by using a Kubernetes Persistent Volume Claim. A Persistent Volume Claim resides within a namespace, and it attempts to match available Persistent Volumes to what a tenant has requested.
$ cat myapp-claim.yaml
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: myapp-nfs
namespace: default
spec:
accessModes:
- ReadWriteOnce # Access modes for volumes is defined under Persistent Volumes
resources:
requests:
storage: 5Gi # volume size requested
A tenant with a RoleBinding to create Persistent Volume Claims can deploy this Persistent Volume Claim. If there is a Persistent Volume that meets the tenant’s criteria, Kubernetes binds the Persistent Volume to the Claim. Again, this does not mount the share.
$ kubectl create -f myapp-claim.yaml
persistentvolumeclaim "myapp-nfs" created
$ kubectl get pvc
NAME STATUS VOLUME CAPACITY ACCESS MODES STORAGECLASS AGE
myapp-nfs Bound my-nfs-share 5Gi RWO slow 2s
$ kubectl get pv
NAME CAPACITY ACCESS MODES RECLAIM POLICY STATUS CLAIM STORAGECLASS REASON AGE
my-nfs-share 5Gi RWO Recycle Bound default/myapp-nfs slow 4m
Defining a workload
Finally, a tenant can deploy a workload to consume the Persistent Volume Claim. The Persistent Volume Claim is defined within the Pod specification, which could be a standalone pod or could be wrapped in a higher-level object like a Deployment, Daemonset, or StatefulSet.
$ cat myapp-pod.yaml
kind: Pod
apiVersion: v1
metadata:
name: pod-using-nfs
spec:
containers:
- name: app
image: alpine
volumeMounts:
- name: data
mountPath: /var/nfs # Please change the destination you like the share to be mounted too
command: ["/bin/sh"]
args: ["-c", "sleep 500000"]
volumes:
- name: data
persistentVolumeClaim:
claimName: myapp-nfs
The pod can be deployed by a tenant using the kubectl command line tool. Additionally, you can verify that the pod is running successfully and that the NFS share has been mounted inside of the container.
$ kubectl create -f myapp-pod.yaml
$ kubectl get pod
NAME READY STATUS RESTARTS AGE
pod-using-nfs 1/1 Running 0 1m
$ kubectl exec -it pod-using-nfs sh
/ # mount | grep nfs.example.com
nfs.example.com://share1 on /var/nfs type nfs4 (rw,relatime,vers=4.1,rsize=262144,wsize=262144,namlen=255,hard,proto=tcp,timeo=600,retrans=2,sec=sys,clientaddr=<IP_ADDRESS>,local_lock=none,addr=nfs.example.com)
/ #


Geelong lies in an inlet call Corio Bay, on the western shore of Port Philip Bay, about 40nm south west of Melbourne. It is a major port and centre of industry. It has many parks and an attractive waterfront.
Position 38°09′S, 144°21′E.
Geelong Waterfront :©www.travelvictoria.com.au
Boarding Station for arrival - as advised by Customs and Quarantine.
Last updated January 2014.
The large marina run by the yacht club is the principal mooring facility here. It is located in the heart of Geelong.
A new marina at Rippleside, north of the centre, is planned but not yet built.
Last updated January 2014.


Notewithme.com supports pasting images from clipboard. Currently only Google Chrome is supported. You need to take screenshot to your clipboard before you can paste it:
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After that, just hit paste:
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- OS X: command + v


The Big Kahuna Rated [R], 91 minutes Starring Kevin Spacey, Danny DeVito and Peter Facinelli Screenplay by Roger Rueff; based on his play Directed by John Swanbeck website: www.lionsgatefilms.com/thebigkahuna
A couple of things I've noted in other places about plays adapted to the big screen, compiled here for the first time: They are "places" where no-name actors can make a name for themselves if their performance is great and if the film director can figure out how to make one set interesting. They are opportunities for star-name actors to stretch their acting chops with "pure" theater in which the odds are much bigger. If the director can't make it interesting then the job of the actors is magnified. Simply, if you walk into a theater thinking you'll see, in this case, Kevin Spacey and Danny DeVito "on stage," and you walk out thinking you've saved $65+ dollars from the cost of a Broadway ticket, then they have failed. If you walk in to see Space and DeVito perform and walk out having seen them transform into Larry Mann (Spacey) and Phil Kooper (DeVito), then you've experience what would be called in the theater, a "magic" night.
That didn't happen for the two critics (female) behind me, both of whom admitted in their post screening talk that they didn't like Spacey's movies, in general. Cranky admits to no such problem and can point with great specificity to the point at which The Big Kahuna, essentially three men in a hotel room, made that transformation from stars performing a play to great acting performances on the screen. The set-up .. . .
Mann is the salesman. Kooper the account manager. Both have been sent to a convention in Wichita, Kansas with the intent of meeting, schmoozing and signing up potential client Dick Fuller, President of a Company which is the largest user of industrial lubricants in the Midwest. Third man on the team, representing the research "brains" of the company is Bob Walker (Peter Facinelli), a just-married, utterly devout Baptist who has no idea of the kind of land he has wandered in to. The two veterans snipe at each other like an old married couple and vie for influence over the new kid. Both have their minds focussed on landing Fuller's account as they schmooze a roomful of lesser freeloaders. When Fuller doesn't show, both know that only the teetotaler Walker, who spent the evening ineptly tending bar and talking about dogs and Jesus to some old guy, will survive when the ax falls back at the main office.
Dogs and Jesus. A moment of revelation that hits you before it hits the poor saps onscreen. Walker, with his priorities all in the wrong place, essentially exits stage left to allow the veterans take full command of the screen; characters that have been beaten and know they will never rise higher in the corporate ranks talk grown-up talk about life, the universe and everything. This third act alone is worth the ticket price for it is here you sense all the power that you'd get from watching the men live on stage.
On average, a first run movie ticket will run you Eight Bucks. Were Cranky able to set his own price to The Big Kahuna, he would have paid...
$6.50
When you're aware that you're watching a play, The Big Kahuna is a better than average adaptation. When it hits the magic button, well, that's what it is. Magic.
The Cranky Critic® is a Registered Trademark of, and Copyright © 2000 by, Chuck Schwartz. All Rights Reserved. Cranky on the web at www.crankycritic.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Next:
Introduction
Up:
Classdesc Documentation
Previous:
Workarounds
Contents
Index
Objective-C
C++ interface
This section is left in for historical interest, but is no longer supported.
Subsections
Introduction
C++ model
Objective-C design strategies
Objective-C basics
File conventions used
Objects creation in the C++ and Objective-C environments
Parameter passing between C++ and Objective-C methods
Classdesc modification to parse a user supplied C++ model
The construction of an Objective-C translator
Four steps for C++ model
Objective-C application generation
Modification to the Swarm run-time environment
C++
Objective-C execution results: myCounter example
Russell Standish 2016-09-02


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Name: Run bash files
Purpose: Run all sh files found at path
If only specific files are required to run, check -r flag
| Usage | Results |
|---|---|
| bash script.sh OR bash script.sh -h | Prints help |
| bash script.sh {flags} [path] | Run sh files found at [path] with {flags}. Not valid for -h or -f flags |
| chmod +x script.sh => ./script.sh {flags} [path] | Same as above |
| Flag ID | Flag symbol | Meaning | Description |
|---|---|---|---|
| 1 | -h | Help | Print help |
| 2 | -r [regex] | Regex | Run only files whose name matches with [regex] |
| 3 | -R | Recursive mode | Enable recursive mode |
| 4 | -q | Quiet mode | Redirects file output to /dev/null |
| 5 | -p | Print path and filename before running the file | |
| 6 | -f | Print without running the file | Print path and filename without running the file |
| 7 | -s | Statistics | Print statistics |
| 8 | -e | Error | Print errors when running files |


|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object com.sadakatsu.clue.testserver.Player
public class Player
The Player represents an AI's server-side state and facilitates the server's communication with the AI.
| Constructor Summary | |
|---|---|
Player(java.lang.String identifier,
java.net.Socket socket,
java.lang.Process process)
Instantiates a new Player for an AI that has connected to the server. |
| Method Summary | |
|---|---|
void |
accusation(int playerIndex,
Suggestion accusation,
boolean correct)
Handles sending the specified accusation message to the connected AI and the AI's response. |
Suggestion |
accuse()
Asks the connected AI whether it wants to make an accusation. |
boolean |
canDisprove(Suggestion suggestion)
Determines whether this Player can disprove the passed Suggestion. |
Card |
disprove(int suggesterIndex,
Suggestion suggestion)
Has the Player disprove the passed Suggestion. |
void |
done()
Handles sending the command to stop to the connected AI and its response. |
java.lang.String |
getIndentifier()
The String used by the server to uniquely identify this Player. |
int |
getIndex()
The Player's position in the play order. |
boolean |
has(Card card)
Determines whether the Player has the passed Card in his hand. |
boolean |
isEliminated()
Whether this Player has made an incorrect accusation and thus lost the game. |
void |
lose()
Flags this Player as having lost. |
void |
reset(int playerCount,
int playerIndex,
java.util.Collection<Card> hand)
Handles starting this Player in a new game. |
Suggestion |
suggest()
Asks the connected AI to make a Suggestion. |
void |
suggestion(int playerIndex,
Suggestion suggestion,
java.lang.Integer disproverIndex,
Card card)
Handles sending an update regarding the last Suggestion made to the connected AI. |
java.lang.String |
toString()
Returns a user-friendly String for identifying this Player. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public Player(java.lang.String identifier, java.net.Socket socket, java.lang.Process process) throws java.io.IOException, ProtocolViolation
identifier
- The identifier the server assigned to the AI.socket
- The Socket through which to communicate with the AI.process
- The process that was used to launch the AI.
java.io.IOException
ProtocolViolation
| Method Detail |
|---|
public boolean canDisprove(Suggestion suggestion)
suggestion
- The Suggestion in question.
public boolean has(Card card)
card
- The Card in question.
public boolean isEliminated()
public Card disprove(int suggesterIndex, Suggestion suggestion) throws java.io.IOException, ProtocolViolation, InvalidDisprove
suggesterIndex
- The index of the Player that made the Suggestion.suggestion
- The Suggestion in question.
java.io.IOException
ProtocolViolation
InvalidDisprove
public int getIndex()
public java.lang.String getIndentifier()
public java.lang.String toString()
toString
in class java.lang.Object
public void accusation(int playerIndex, Suggestion accusation, boolean correct) throws java.io.IOException, ProtocolViolation
playerIndex
- The index of the Player that made the accusation.accusation
- The accusation that that Player made.correct
- Whether the accusation was correct.
java.io.IOException
ProtocolViolation
public Suggestion accuse() throws java.io.IOException, ProtocolViolation
java.io.IOException
ProtocolViolation
public Suggestion suggest() throws java.io.IOException, ProtocolViolation, DuplicateSuggestion
java.io.IOException
ProtocolViolation
DuplicateSuggestion
public void done() throws java.io.IOException, ProtocolViolation
java.io.IOException
ProtocolViolation
public void lose()
public void reset(int playerCount, int playerIndex, java.util.Collection<Card> hand) throws java.io.IOException, ProtocolViolation
playerCount
- The number of Players in this game.playerIndex
- This Player's position in the play order.hand
- The Cards in this Player's hand.
java.io.IOException
ProtocolViolation
public void suggestion(int playerIndex, Suggestion suggestion, java.lang.Integer disproverIndex, Card card) throws java.io.IOException, ProtocolViolation
playerIndex
- The index of the Player that made the Suggestion.suggestion
- The Suggestion in question.disproverIndex
- The index of the Player that disproved the Suggestion.card
- The Card that was shown to the suggesting Player. This should be null if
this Player is neither the suggester nor the disprover.
java.io.IOException
ProtocolViolation
|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


THE MASK OF ZORRO **** (out of five stars) A review by Jamey Hughton
Starring-Antonio Banderas, Anthony Hopkins, Catherine Zeta-Jones, Stuart Wilson and Matt Letscher Director-Martin Campbell Rated PG Released July 1998 Sony
MOVIE VIEWS by Jamey Hughton http://Welcome.to/MovieViews
The popularity of the masked sword-fighter Zorro has plummeted since his rise to fame in the 1930's. With the appearance of famed superheroes Batman and Superman in their first feature-length films, Zorro had to take a back seat. After all, he had no super powers. With the release of the swashbuckling epic The Mask of Zorro, the franchise has been revitalized with more potential than anyone had originally foreseen.
As if one Zorro was not exciting enough, The Mask of Zorro gives us two. The original man in black is Don Diego De La Vega (Anthony Hopkins), a savior of the Mexican people. In a thrilling prologue, De La Vega is thwarting the plans of the greedy and careless governor of Mexico, Don Rafael Montero (Stuart Wilson).  But Montero somehow traces his steps, and Esperenza is accidentally killed in a struggle. De La Vega is sent of to prison, and Montero whisks his daughter away to raise her as his own.
Twenty years later, De La Vega finds the chance to escape from prison once he learns that Montero is back, and has plans to make California into an Independent Republic. While at first De La Vega plots instant revenge on his sworn enemy, he sees his daughter (Catherine Zeta-Jones), now fully grown and by Montero's side. He can't bring himself to finish the deed with such personal issues now in consideration.
Luckily for De La Vega, another young rogue exists that has a personal grudge against Montero's officers. Alejandro Murrieta (Antonio Banderas), formerly one half of the infamous Murrieta brothers, is now miserable and poor as he drinks his problems away. De La Vega stumbles upon Alejandro when he spots a medallion he once gave to him as a young boy for helping him in battle. Murrieta, at the time, is plotting to kill the incomparable and cold-hearted Captain Love (Matt Letscher), who is responsible for his brother's death. De La Vega teaches him to control his anger, and enlists his help so that he can finally take revenge.
And so begins the training of the new Zorro. Banderas is truly wonderful and dashing in this role, with his inexperienced quips and humorous jabs about getting into battle. Hopkins, on the other hand, is such a veteran presence and distinguished actor that we will go along with whatever he says. Together, they meld exceptionally well as the mentor and his apprentice. This is the life-force that makes The Mask of Zorro so enjoyable.
There's also sprinkles of romance between Banderas and the gorgeous Zeta-Jones, played out in humorous sword-play and marvelous chemistry. The dialogue throughout the film is crisp and well spoken, separating the good from the bad with an easily distinguishable black line. The human elements are fun, but the real scene-stealing belongs to the incredible fight choreography. Characters clash their swords at lightning speed, and Banderas flips and tumbles like an amazingly talented daredevil acrobat. The stunts in The Mask of Zorro are all spectacular, and the action will give you white knuckles almost instantly.
There's a few instances of violence that could have been toned down, but even so this should entertain the whole family. There's enough well-played humor, rousing action and delightful romance to meet nearly anyone's approval. The fact that Zorro has no super powers is what makes him so unique. He fights for something that everyone can get behind, wants what is best for his people, and has good taste in women... this is what I call a real hero.
(C) 1998, Jamey Hughton
* * * * * * * * * * * * * * * MOVIE VIEWS by Jamey Hughton http://Welcome.to/MovieViews <<<<<<<<<<<<<<<>>>>>>>>>>>>>>>
Contact Jamey at<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Internals of CSVReader. Only maintainers and those looking to extend the parser should read this.
More...
|
| enum | csv::CSVReader::ParseFlags { NOT_SPECIAL,
QUOTE,
DELIMITER,
NEWLINE
} |
| | An enum used for describing the significance of each character with respect to CSV parsing.
|
| |
Internals of CSVReader. Only maintainers and those looking to extend the parser should read this.
◆ bad_row_handler()
| void csv::CSVReader::bad_row_handler |
( |
std::vector< std::string > |
record | ) |
|
|
protectedvirtual |
Handler for rejected rows (too short or too long). This does nothing unless strict parsing was set, in which case it throws an eror. Subclasses of CSVReader may easily override this to provide custom behavior.
Definition at line 157 of file csv_reader.cpp.
◆ make_flags()
Create a vector v where each index i corresponds to the ASCII number for a character and, v[i + 128] labels it according to the CSVReader::ParseFlags enum
Definition at line 134 of file csv_reader.cpp.
◆ read_csv()
| void csv::CSVReader::read_csv |
( |
const std::string & |
filename, |
|
|
const size_t & |
bytes = ITERATION_CHUNK_SIZE , |
|
|
bool |
close = true |
|
) |
| |
|
protected |
Parse a CSV file using multiple threads.
- Parameters
-
| [in] | nrows | Number of rows to read. Set to -1 to read entire file. |
| [in] | close | Close file after reading? |
- See also
- CSVReader::read_row()
Definition at line 467 of file csv_reader.cpp.
◆ read_csv_worker()
| void csv::CSVReader::read_csv_worker |
( |
| ) |
|
|
protected |
Worker thread for read_csv() which parses CSV rows (while the main thread pulls data from disk)
Definition at line 437 of file csv_reader.cpp.
◆ write_record()
| void csv::CSVReader::write_record |
( |
| ) |
|
|
protected |
Push the current row into a queue if it is the right length. Drop it otherwise.
Definition at line 392 of file csv_reader.cpp.
◆ col_names
Initial value:=
std::make_shared<internals::ColNames>(std::vector<std::string>({}))
Pointer to a object containing column information.
<
Definition at line 255 of file csv_parser.hpp.


THE HORSE WHISPERER
Reviewed by Harvey Karten, Ph.D. Touchstone Pictures Director: Robert Redford Writer: Eric Roth, Richard La Gravenese, novel by Nicholas Evans Cast: Robert Redford, Kristin Scott Thomas, Sam Neill, Dianne Wiest, Scarlett Johansson, Chris Cooper
In his fluffy play "California Suite," Neil Simon's tense, chain- smoking New York magazine writer visits her laid-back ex-husband in southern California. He, Bill Warren, cannot understand why his ex continues to live in the fast-paced big city while she, Hannah Warren, is appalled by what she considers Bill's sloth. Their mutual incomprehension continues long after their marriage has dissolved. The writer does not take sides, but rather implies that while there's no place like home, human beings must decide for themselves where they prefer to be.
Robert Redford, on the other hand, does take a stand in the conflict between city mouse and country mouse. The celebrated actor, who surpassed Paul Newman as the country's most popular performer during the 1970s, maintains a home in Manhattan but spends most of his time on his vast properties in Utah. His inclination is with the open spaces, or so you'll have to believe if you accept "The Horse Whisperer" as his adulation of the American west. "The Horse Whisperer" is filmed primarily in Montana, where the grass grows tall and for some is greener on the other side. For others, less jaded, this turf is the color of the finest emerald.
The movie, which stars Robert Redford (who also directed and co-produced the story from a best-selling novel by the English writer Nicholas Evans), deals with a woman who edits a slick, urban magazine, is vaguely dissatisfied with her marriage to a good man, and who finds passion and meaning among people who live in a different world. Annie MacLean (Kristin Scott Thomas) lives with her lawyer husband Robert (Sam Neill) and their 14-year-old daughter Grace (Scarlett Johansson). On one snowy day in their upstate New York country home, young Grace goes for a ride with her friend on her beloved horse Pilgrim. A freak accident throws her friend from her horse where she is pulled along the ground. Grace's attempt to rescue her pal puts both in the path of a skidding 18-wheeler, killing her friend, injuring Pilgrim severely, and causing Grace to lose part of her right leg. Annie must now cope with a teenager who is plunged into depression and a badly damaged horse which has become so traumatized that he turns feral. The scenario brings to mind a news event which broke just two weeks before the opening of the picture... * * * NOLENSVILLE, Tenn. (AP May 5) -- An enraged horse known for being unruly kicked a man to death. Sheriff's Sgt. Robert Dillon said Tuesday that Billy Camron, believed to be 64, suffered severe injuries to his head, back and other parts of his body and also had several bite marks. Dillon quoted Camron's son as saying "it was just a mean horse." Deputies said they found the horse running "rampant in the field" when they arrived Monday night. The son authorized the horse to be killed. * * *
Pilgrim, however, had never been a mean horse and had, in fact, tried to protect his rider from injury. Wounds inflicted on him had turned him into a untamed beast, and Annie rejects the advice of her vet (Cherry Jones) to "put him down" seeking out a horse whisperer to restore his sanity.
"The Horse Whisperer" encompasses two epic stories during its ample, 164-minute span. On one level, the picture deals with the attempts of the title character, Tom Booker (Robert Redford) to administer to a psychotic animal using a technique unknown in the East and, in fact, even in his own country. As Booker puts it, he does not treat people with a horse problem; he handles horses with people difficulties. On another plane, "The Horse Whisperer" is a romance involving a slowly-growing relationship between a gentle rancher who has not felt the pangs of love since he split up with his wife, and an edgy, urban sophisticate who had not realized she could respond in a vigorous way to a man. The heady effect of the plains spirit works its mysteries on young Grace as well, who is lifted from her grand funk under the influence of the sensitive horseman and the kindness of the extended family of ranchers she has grown to respect.
Redford seems to have chosen the subject to venerate a way of life which is fading under the sway of the large corporations: the spirit of the independent cowboys who appear so remote from the attractions of the big city that they might be living on Mars. They are contrasted with what passes for civilization by some clever, homespun dialogue. Told that a New York woman has come to spend time in Montana, Frank Booker (Chris Cooper), Tom's brother, suggests "Mixed salads...New York women like mixed salads"--as he and his family dig into their robust dinner of meat, mashed potatoes and thickly-buttered bread. The Bookers seem to amaze Grace and Annie momentarily when they recite a quiet prayer just before digging into their spread, though Frank's down-home wife Diane (Dianne Wiest), not wholly satisfied by her life, wistfully suggests that she would like to travel to Morocco. Yet another jarring difference between Montana and Manhattan emerges when Annie's cell phone goes off, alarming the horse whom Tom is struggling to tame. A city dweller could scarcely imagine Tom's patience when in one incident, as Pilgrim runs away from his corral, the horse is captivated by the patient Tom who simply sits on the grass and stares at the animal for hours as if to say "It's your decision."
 Redford's is a west of Marlboro men who don't smoke, rough-and tumble cowpokes who don't curse, and squeaky-clean kids who say "ma'am" and "thank you" and are genuinely involved in the chores on their ranch. In short it's about home, perhaps the most important word in the English language. In Redford's terms happiness belongs to those who have found it.
Scarlett Johansson provides us with a believable performance of a fun-loving girl who, like her cherished equine, turns bratty from a serious injury but who has become wholly rehabilitated under the guidance of a considerate man. Kristin Scott Thomas effectively bares her conflict between a devotion to her dependable and loving husband and her passion for a westerner who is firmly rooted to his place and its history. Robert Redford continues to amaze. This sixty- year old, impossibly handsome actor will probably continue playing square-jawed, sky-eyed, lonely heroes well into his eighties, and we don't wonder that after seeing the movie "Indecent Proposal," a young man in the audience who said to his date: "Would you sleep with him for a million dollars?" gets the reply from the sweet young thing, "Sure: but you'll have to give me some time to raise the money." Rated PG-13. Running time: 164 minutes. (C) Harvey Karten 1998
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


1 National Health Interview Survey
This reproduces the analyses in Table 1.1 of Angrist and Pischke (2014). which compares people with and without health insurance in the 2009 National Health Interview Survey (NHIS).
The code is derived from NHIS2009_hicompare.do.
Load the prerequisite packages.
library("tidyverse")
library("magrittr")
library("haven")
Load the data (originally from http://masteringmetrics.com/wp-content/uploads/2015/01/Data.zip), and adjust a few of the columns to account for differences in how Stata and R store data.
data("NHIS2009", package = "masteringmetrics")
Remove missing values.
NHIS2009 <- NHIS2009 %>%
filter(marradult, perweight != 0) %>%
group_by(serial) %>%
mutate(hi_hsb = mean(hi_hsb1, na.rm = TRUE)) %>%
filter(!is.na(hi_hsb), !is.na(hi)) %>%
mutate(female = sum(fml)) %>%
filter(female == 1) %>%
select(-female)
For the sample only include married adults between 26 and 59 in age, and remove single person households.
NHIS2009 <- NHIS2009 %>%
filter(between(age, 26, 59),
marradult, adltempl >= 1)
Keep only single family households.
NHIS2009 <- NHIS2009 %>%
group_by(serial) %>%
filter(length(serial) > 1L) %>%
ungroup()
Tables of wives and husbands by health insurance. status.
The weighting following the “analytic” weights in the original .do
file which weights observations by perweight
and normalizes the weights so that the sub-samples of males and females have the same number as the original sample.
NHIS2009 %>%
group_by(fml) %>%
# normalize person weights to match number of observations in each
# group
mutate(perweight = perweight / sum(perweight) * n()) %>%
group_by(fml, hi) %>%
summarise(n_wt = sum(perweight)) %>%
group_by(fml) %>%
mutate(prop = n_wt / sum(n_wt))
#> # A tibble: 4 x 4
#> # Groups: fml [2]
#> fml hi n_wt prop
#> <lgl> <dbl> <dbl> <dbl>
#> 1 FALSE 0. 1281. 0.136
#> 2 FALSE 1. 8114. 0.864
#> 3 TRUE 0. 1131. 0.120
#> 4 TRUE 1. 8264. 0.880
Compare sample statistics of mean and women, with and without health insurance.
varlist <- c("hlth", "nwhite", "age", "yedu", "famsize", "empl", "inc")
NHIS2009_diff <- NHIS2009 %>%
# rlang::set_attrs with NULL removes attributes from columns.
# this avoids a warning from gather about differing attributes
map_dfc(~ rlang::set_attrs(.x, NULL)) %>%
select(fml, hi, one_of(varlist)) %>%
gather(variable, value, -fml, -hi) %>%
group_by(fml, hi, variable) %>%
summarise(mean = mean(value, na.rm = TRUE), sd = sd(value, na.rm = TRUE)) %>%
gather(stat, value, -fml, -hi, -variable) %>%
unite(stat_hi, stat, hi) %>%
spread(stat_hi, value) %>%
mutate(diff = mean_1 - mean_0)
knitr::kable(NHIS2009_diff, digits = 3)
| fml | variable | mean_0 | mean_1 | sd_0 | sd_1 | diff |
|---|---|---|---|---|---|---|
| FALSE | age | 4.13e+01 | 4.42e+01 | 8.40e+00 | 8.61e+00 | 2.893 |
| FALSE | empl | 8.52e-01 | 9.22e-01 | 3.55e-01 | 2.68e-01 | 0.070 |
| FALSE | famsize | 4.06e+00 | 3.55e+00 | 1.54e+00 | 1.32e+00 | -0.506 |
| FALSE | hlth | 3.70e+00 | 3.98e+00 | 1.01e+00 | 9.34e-01 | 0.278 |
| FALSE | inc | 4.36e+04 | 1.04e+05 | 3.57e+04 | 5.48e+04 | 60366.415 |
| FALSE | nwhite | 1.88e-01 | 2.00e-01 | 3.91e-01 | 4.00e-01 | 0.011 |
| FALSE | yedu | 1.12e+01 | 1.41e+01 | 3.47e+00 | 2.68e+00 | 2.919 |
| TRUE | age | 3.95e+01 | 4.22e+01 | 8.26e+00 | 8.65e+00 | 2.631 |
| TRUE | empl | 5.41e-01 | 7.58e-01 | 4.98e-01 | 4.29e-01 | 0.216 |
| TRUE | famsize | 4.07e+00 | 3.55e+00 | 1.54e+00 | 1.32e+00 | -0.520 |
| TRUE | hlth | 3.61e+00 | 3.99e+00 | 1.02e+00 | 9.28e-01 | 0.382 |
| TRUE | inc | 4.36e+04 | 1.03e+05 | 3.52e+04 | 5.51e+04 | 59722.242 |
| TRUE | nwhite | 1.83e-01 | 2.02e-01 | 3.87e-01 | 4.01e-01 | 0.018 |
| TRUE | yedu | 1.14e+01 | 1.43e+01 | 3.50e+00 | 2.60e+00 | 2.913 |


Admin Page
-
Normal User Page
-

User List
List
...


Oracle Listener
1521 (default)
1522 – 1529 Alternate ports (“security thru obscurity”)
Oracle HTTP Server
7777 (varies with 9i and up, use your port scanner to find),
4443 (SSL)
Oracle XDB (XML DB)
8080 (HTTP)
2100 (FTP)
Enterprise Manager
1810,
3340 (Reporting)
Many others…
Detailed list at: http://osi.oracle.com/CollaborationSuite9041/doc/install/ports.htm


Is there anyway BBlog could recreate this for BF4?
The Unlocks page is just lacking a lot of the same information at a glance. You can see the next three weapon battlepacks, but you can't see a good overview of upcoming attachment unlocks based off percentages.
I don't know if this is at all possible, but even coming close would be appreciated. I used to rotate weapons in BF3 based off the next unlock, but this isn't really an option with BF4 since the info is buried.
Meaurk
Global Moderator
This should be possible due to the information you can get from bf4stats.com. Some plugin developer will make it, or maybe Brain himself will integrate it. Just have patience! :-)
BrainFooLong
Administrator
I currently have no plan doing this, but maybe some plugin dev as meaurk said.
elementofprg
Meaurk wrote:
This should be possible due to the information you can get from bf4stats.com. Some plugin developer will make it, or maybe Brain himself will integrate it. Just have patience! :-)
bf4stats actually just updated and added a Upcoming weapon unlocks section.


Card shuffle
This plugin makes it possible to simulate a deck of playing cards. Follow these steps:
- Create front sides by either making an object containing text or making a group of objects that contains at least one text.
- Create back sides by either making an object without any text or making a group of objects without any text.
- Make sure the number of back sides is the same as the number of front sides.
- When creating card sides do not use 'Bring to front' or 'Send to back', the plugin will ignore those when shuffling the cards.
- Select all front and back sides that will together form a card deck.
- Press 'cardshuffle'.
- Deselect the deck.
The result will be a stack of cards with alternating back and front sides, with the front sides in random order. Every time you use 'cardshuffle' the
deck will be stacked and shuffled. You can now select the top (back) side, move it away to show the first front side.
Repeat until the deck is empty.
Note: an object contains text when it's a text object or an object containing text (for example a sticky note or a shape).


Santa Clarita shooting: Gracie Anne Muehlberger identified as a victim
by Gabrielle Fonrouge and Natalie MusumeciOne of the two teen students slain in the Southern California school shooting has been identified.
The victim was identified as Gracie Anne Muehlberger who had just turned 15-years-old on Oct. 10, the Los Angeles County Coroner confirmed to The Post Friday.
Muehlberger, along with a 14-year-old boy, was gunned down by alleged shooter Nathaniel Berhow Thursday morning at Santa Clarita’s Saugus High School.
Police previously said that the female victim was 16-years-old. The coroner is still working to confirm the identity of the 14-year-old.
Surveillance footage captured the suspect, who also attended the school, walk onto the campus’ quad, pull a .45-caliber semiautomatic pistol from his backpack and shoot five fellow students before turning the gun on himself.
The shooter survived a self-inflicted gunshot wound to the head and remained in critical condition Friday.
A 15-year-old girl who was shot in the hip and a 14-year-old girl shot in her shoulder and lower abdomen remained hospitalized, but were both expected to make a full recovery.
A 15-year-old boy who was shot and injured had been treated and released from a local hospital.
With Post wires


{include file='public_file/header' /} {block name="php"}{/block} {block name="style"}{/block}
{block name="content"}{/block} {include file='public_file/footer' /} {block name="script"}{/block}


The easing functions generally make animations closer to reality and completely eliminate the boring factor for a given context. The most simple example to understand what they do, think of gravity. Dropping an object from a given height, will start moving to the ground with accelerated speed. If the object has some sort of bounciness like a ball, it will jump back up and up again, till the gravity will eventually stick the object to the ground.
What scientists observed and put in theory houndreads of years ago, later the pioneers of scripting started to implement the laws of physics into digital animation and came up with this notion of easing to describe the progression of movement. If you care to dig into the concept, here's an excellent resource some developers recommend. I would also recommend this one too.
Modern browsers that support transition
can also make use of some generic easing functions via the CSS3 transition-timing-function:ease-out
property, but in Javascript animation, we need some special functions. The
popular Robert Penner's easing functions set is the default set included with KUTE.js because it's the fastest set I know in terms of performance. Some functions may lack a bit of
accuracy but they cover the most animation needs. Generally the easing functions' names are built with keywords that describe the type of easing, like circular or exponential, and also the type of progression in and/or out.
To use them, simply set a tween option like so easing: KUTE.Easing.easingSinusoidalInOut
or simply easing: 'easingSinusoidalInOut'
.
linear is the default easing function and just as it sounds, it means that the animation has no acceleration or deceleration over time. While this one is basically boring, it's the fastest in all, and it's very useful when animating opacity or colors because we cannot really distinguish changes in speed for such cases, but mostly for movement.
curve based functions are the next set of easings we are going to talk about. They are basically the same, the only difference is the number of multipliers applied (better think of it like the more weight an object has, the more acceleration):
The In / Out explained:
back easing functions describe more complex animations (I would call them reverse gravity easings). They also come with in and/or out types of progression.
elasticity easing functions describe the kind of animation where the object is elastic. With in and/or out as well.
gravity based easing functions describe the kind of animation where the object has a certain degree of bounciness, like a ball. With in and/or out as well.
Core easing functions examples:
While modern browsers support CSS3 transition
with transition-timing-function: cubic-bezier(0.1,0.5,0.8,0.5)
, in Javascript animation we need some specific functions to cover that kind of functionality. As mentioned
in the features page, we are using a modified version of the cubic-bezier by Gaëtan Renaudeau. I believe this must be most accurate easing functions
set.
You can use them either with easing: Bezier(mX1, mY1, mX2, mY2)
or easing: 'bezier(mX1, mY1, mX2, mY2)'
, where mX1, mY1, mX2, mY2 are Float values from 0 to 1. You can find the right values you need
right here.
NOTE: Starting with KUTE.js v 1.6.0 the Cubic Bezier Functions are removed from the distribution folder and from CDN repositories, but you can find them in the Experiments repository on Github.
There is also a pack of presets, and the keywords look very familiar to you:
Cubic-bezier easing functions examples:
KUTE.js also packs the dynamics physics easing functions by Michael Villar and I have to say these functions are amazing in terms of flexibility, control and performance. They allow you to control the friction, bounciness, frequency, elasticity, or multiple bezier points for your animations.
NOTE: Starting with KUTE.js v 1.6.0 the Physics Functions are removed from the distribution folder and from CDN repositories, but you can find them in the Experiments repository on Github.
You can use them either with regular Javascript invocation as shown below and configure / visualize them on the author's website, while you can also use the pack of presets featuring mostly bezier based functions. Ok now, let's get to it:
frequency:1-1000
, friction:1-1000
, anticipationSize:0-1000
(a kind of delay in miliseconds)
and anticipationStrength:0-1000
(a kind of a new curve to add to the function while waiting the anticipationSize). Usage: easing: spring({friction:100,frequency:600})
.frequency:0-1000
and friction:0-1000
. Usage: easing: bounce({friction:100,frequency:600})
.elasticity:1-1000
and bounciness:0-1000
. Usage: easing: gravity({elasticity:100,bounciness:600})
.gravity
except that the ball instead of being dropped it's thrown into the air. This allows you to set same options: elasticity:1-1000
and bounciness:0-1000
.
Usage: easing: forceWithGravity({elasticity:100,bounciness:600})
.easing: BezierMultiPoint({points:POINTS_ARRAY_COMES HERE})
, again use the author's website,
edit the bezier curve as you wish and copy paste the points array into this function. Here's how a basic easeIn looks like:
// sample bezier based easing
easing: BezierMultiPoint({points: [{"x":0,"y":0,"cp":[{"x":0.483,"y":0.445}]},{"x":1,"y":1,"cp":[{"x":0.009,"y":0.997}]}] });
In other cases, the bezier can handle multiple points as well, basically unlimited:
// multi point bezier easing
easing: BezierMultiPoint({points: [{"x":0,"y":0,"cp":[{"x":0.387,"y":0.007}]},{"x":0.509,"y":0.48,"cp":[{"x":0.069,"y":0.874},{"x":0.928,"y":0.139}]},{"x":1,"y":1,"cp":[{"x":0.639,"y":0.988}]}] });
The presets can be used both as a string easing:'physicsIn'
or easing: Physics.physicsIn(friction:200)
. The list is:
friction
option;friction
option.Physics easing functions examples:


Horizon provides a base test case class which provides several useful pre-prepared attributes for testing Horizon components.
Specialized base test case class for Horizon which gives access to numerous additional features:
- The mox mocking framework via self.mox.
- A RequestFactory class which supports Django’s contrib.messages framework via self.factory.
- A ready-to-go request object via self.request.
The OpenStack Dashboard also provides test case classes for greater ease-of-use when testing APIs and OpenStack-specific auth scenarios.
Specialized base test case class for Horizon.
It gives access to numerous additional features:
- A full suite of test data through various attached objects and managers (e.g. self.servers, self.user, etc.). See the docs for TestData for more information.
- The mox mocking framework via self.mox.
- A set of request context data via self.context.
- A RequestFactory class which supports Django’s contrib.messages framework via self.factory.
- A ready-to-go request object via self.request.
- The ability to override specific time data controls for easier testing.
- Several handy additional assertion methods.
Check for form errors.
Asserts that the response does contain a form in its context, and that form has errors, if count were given, it must match the exact numbers of errors
Checks for no form errors.
Asserts that the response either does not contain a form in its context, or that if it does, that form has no errors.


REAL Connections has a vibrant group of volunteers. The energy of REAL Connections is fueled by our ability to match a volunteer with a need or activity which s/he is interested in and passionate about.
You don’t have to be a member to volunteer! REAL Connections welcomes volunteers of all ages. We invite organizations and individuals who live or work in the Inland, Pomona and East San Gabriel Valleys to join us in making a difference and giving back to the community.
Neighbor-To-Neighbor Program
Events
Communications
Program Administration
"Being recently semi-reitred, I have found that having too much free time can be boring! So, I thought giving a little bit of my time back to the community would not only be therapeutic for me, but also useful to those who could benefit fro my wonderful driving skills!!"
Larry Pollard
"As an adult child who cared for an aging parent with dementia over an extended period of time, I have a deep appreciation for the value that REAL Connections bring to our older adults and their families. My father has since passed away but as a volunteer, it truly fills my heart with joy and satisfaction to see our older adults participate in and enjoy life instead of being isolated and/or a shut-in. In addition the support and community resources REAL Connections provides family members and those caring for an aging parent, family member, or loved one are invaluable."
Pam Bergman-Swartz
"It is a wonderful experience to be involved with REAL Connections since its earliest beginnings. It is an honor to volunteer for seniors in our community as well as meet other volunteers dedicated to the REAL Connections mission and the villages concept."
Jenny Jolly
Complete the following form and a representative from Real Connections will be reaching out to you shortly!
Submit Google Form
Complete Brief Interview
REAL Connections staff members will schedule an interview with all applicants who seem like a good fit
Pass Background Checks
We vet all of our volunteers according to the Department of Justice Background Checks, the National Sex Offender Registry, and personal references
Training
All volunteer applicants who meet our guidelines will undergo a brief program orientation and training
For more information, please contact us directly! (909) - 621- 6300
Claremont Community School of Music - Claremont Manor - Claremont Place - Community Connections: Transportation Reimbursement Program - The Enrichment Center Adult Day Program - Foothill Communities RSVP - Oakmont of San Antonio Heights - VNA Hospice and Palliative Care of Southern California - West End Family Counseling Services - Right At Home In-Home Care


| Name |
Certificates |
| Data Structure By University of California San Diego and National Research University Higher School of Economics |
|
| Machine Learning: Classification By University of Washington |
|
| Python By University of Michigan |
|
| Coding Competition by K.J. Somaiya Institude of Engineering and Information Technology, Mumbai |
|


System Architect Definitions, Encyclopedia:"D:\DATA\SYSARCH\HCM\GEN_DATA\SUBJECT\V01\CURRENT\"
Outcome Of Activity (Class)
- Description:
"Subject Property" deduced to be a result of an "Activity".
- Source:
CBS V2 Gen
- State Type:
F
- &Abstract:
F
- Value:
F
Outcome Of Incident (Class)
- Description:
"Subject Property" deduced to be a result of an "Incident".

- Source:
HcM QA
- State Type:
F
- &Abstract:
F
- Value:
F
outcome of (Association)
- From Class:
"Subject Property"
- To Class:
"Causal Relation"
- Redefines:
"Phenomenon Or Qualifier"."Phenomenon Qualifier"."focus for qualification"
- Definitions Used:
-
focus for qualification (Association)


I'm not just a "web dev".
I'm a seasoned technical professional. I've worked for Fortune 500 R&D labs on the bleeding tech edge and I've run my own profitable bootstrapped startups in slow tech adoption industries.
I can plan, build and execute your goals. Simply put I help you get things done and make more money.


The elara project provides an efficient, zero garbage framework to implement event sourcing applications.


In Node.js, there’s a module called fs
that lets us read and write to files on the hard drive.
Some objects and functions aren’t available automatically. They’re part of modules, which you have to explicitly say
you’re using. You can do this with the require
function, passing in the name of the module like this:
const fs = require('fs')
A lot of essential modules, like `fs`, are already installed along with Node.js. There are thousands of others available via the Node Package Manager.
You can read a file like this:
const content = fs.readFileSync('./some-file.txt', {encoding: "utf-8"})
Now content
will be a string containing the content of the file. For text files, make sure you specify the encoding. Otherwise, you’ll just get the raw bytes back.
Note: the sync
part of the function name means that your program will pause until it’s done reading the file. Much of the time, you’ll want to do it asynchronously, but we can safely ignore that for now.
Your turn! Download these files and try to make a program that prints out the number of characters in haiku.txt
.


Drones for Blood
Please select your position and destination.
Swap
Center on Airport
Center on Airfield
Center on Drone
Sim Path
Sim gcsACk
Start Position:
End Position:
ETA -
00:00:00
Package attached
Current Drone Position


Blog Coming Soon
In this blog post I will be covering the creative design studios that inspire me in Wellington. I want to showcase their hard work and support my local design community.
Blog Coming Soon
I will write about individual graphic designers and products that I have come across which have unique characteristics and design styles. I want to explore the different styles and take my design in different directions.
Researching and planning to find the best strategy to approach projects and long term goals is important. I love organising realistic schedules to stay on top of plans.
There is always more to learn and I enjoy venturing out to experience different cultures and locations to inspire my design work.
Illustrations are the best way for putting my thoughts on paper. It has been a hobby of mine for many years because there are no limits to what you can draw.
 Everything starts from a blank canvas. It is our mind's creativity that bring something to life and we have the tools to make it.


| 11 May 1981 |
Jamaican musician Bob Marley dies of a brain tumor, Miami FL. |
| 8 Dec 1983 |
Actor Slim Pickens dies after operation for a brain tumor, Modesto CA. |
| 15 Feb 1984 |
Singer Ethel Merman dies of a brain tumor which was diagnosed in April 1983, New York City. In 1980 Merman played herself (as a deranged man who thought he was Ethel Merman) in Airplane. |
| 29 Jan 1987 |
DCI William Casey dies of a brain tumor a mere two days before he is to give testimony for the Iran-Contra scandal, Mayknoll, MD. He had received a craniotomy.  After diagnosis of the tumor, Atwater renounced dirty tricks and found Jesus: "I'm glad I've found Him while there's still time." Right. Atwater also played guitar in Jim Thackery and the Assassins (People, May 8 1989.) |
| 14 May 1992 |
Football player Lyle Alzado dies of brain cancer (in this case, a rare lymphoma of the central nervous system), which he attributed to his extensive use of anabolic steroids, particularly Dianabol. "I started taking anabolic steroids in 1969 and never stopped. It was addicting, mentally addicting. Now Iím sick, and Iím scared... I became very violent on the field and off it. I did things only crazy people do.  Now look at me. My hairís gone, I wobble when I walk and have to hold on to someone for support, and I have trouble remembering things." |
| 13 Jun 1993 |
Apollo astronaut Deke Slayton dies of complications resulting from a brain tumor, League City, TX. |
| 20 Feb 1999 |
Film critic Gene Siskel dies from complications after brain surgery to remove a tumor, Evanston Hospital, Chicago IL. |
| 3 Apr 2000 |
Drug guru and ethnopharmacologist Terence McKenna dies of a glioblastoma multiforme (a type of brain tumor), San Rafael CA. |
| 18 Apr 2002 |
Explorer and anthropologist Thor Hyerdahl dies from brain cancer in his sleep, at his home in Norway. |


ProbLog Editor
%% Your program
%% Your examples (separated by ---)
This interface is for academic purposes only. Input is stored on our servers to execute the queries.


Virtualization provides the ability to run multiple instances of different OSs on the same host. Each guest OS is run in an independent VM, giving the illusion of a separate computer. Containerization does not require the host run any guest OSs. Containers include only the minimum number of resources needed by the application to run, thereby emulating an OS. This means that containers require fewer resources from the host than VMs do.
A host has the ability to support a larger number of containers, reducing costs. Containerization also allows the host to run more efficiently and reliably. Since containers do not depend on any OSs, they can be deployed in different systems with little concern for incompatibility. However, virtualization provides more isolation than containerization as VMs emulate separate computers.


infotocap
Section: Misc. Reference Manual Pages (1M)Updated:
Index Return to Main Contents
NAME
infotocap - convert a terminfo description into a termcap descriptionSYNOPSIS
infotocap [-vn width] [-V] [-1] [-w width] file . . .DESCRIPTION
infotocap looks in file for terminfo descriptions. For each one found, an equivalent termcap description is written to standard output. Terminfo use capabilities are translated directly to termcap tc capabilities.- -v
- print out tracing information on standard error as the program runs.
- -V
- print out the version of the program in use on standard error and exit.
- -1
- cause the fields to print out one to a line. Otherwise, the fields will be printed several to a line to a maximum width of 60 characters.
- -w
- change the output to width characters.
FILES
- /usr/share/terminfo
- Compiled terminal description database.
NOTES
This utility is actually a link to tic, running in -C mode. You can use other tic options such as -f and -x.SEE ALSO
curses(3X), tic(1M), infocmp(1M), terminfo(5)This describes ncurses version 5.7 (patch 20090207).
Index
This document was created by man2html, using the manual pages.
Time: 05:29:04 GMT, December 24, 2015


--- layout: post title: "February, 14 Meeting" subtitle: "Two pieces of hardware are better than one." date: 2019-02-14 23:45:13 -0400 background: '/img/posts/01.jpg' categories: Meeting Logs ---
Abstract is due this Friday. Abstract has been written by Donovan and will be reviewed by JoCee, Mohit, and Zane before submission next week.
suggested to build a PCB in case a verilog FPGA implementation isn't enough hardware to satisfy requirements. STM chips - Donovan likes those.
Website and Detailed description will need to be completed by next week.


Interactive Media Final Project: This project explores interactive potential of electrical field sensing by the means of Capacitive technology. It is because of the technologies low-cost and versatility that it is relatively easy to apply the technology into everyday objects, an area that can be explored by using off-the-shelf materials. It is the simplification of the technology that makes it inclusive to all and paves the way for exploring easy to apply prototyping tools. The goal of this project was to create an interactive audio visual installation that explores low tech solutions for prototyping with interactive technologies. This project used used serial communication between an Arduino Uno board and a PC, sending sensor data from the Arduino board, and receiving it on the Processing IDE on a computer. This project used the Arduino CapSense Library by Paul Badger, and the SerialCallResponse sketches by Tom Igoe and Scott Fitzgearld.
Snoopy Low-Fidelity Prototype Demo: Above features an example of Low-Fidelity prototyping using paper to demonstrate the user-flow for a application with the purpose of interacting with household pets when the owner is not at home.
Quick-Link Prototype Demo: Above features an example of High-Fidelity Alpha prototyping using InVision on a mobile device to demonstrate the user-flow for an application thats purpose was to improve the users concentration and overall productivity when using a device by keeping the user informed of the last task that was performed. This Digital mock-up was designed using .png files and vector graphics constructed using Adobe Illustrator and Photoshop.
Creative Coding Demo: This video is an screen capture of a project that uses the carnivore library for the Processing IDE. The carnivore library enables Processing to perform surveillance on data networks. In this project Processing is used to listen to Internet traffic on a specific local network and uses the data to manipulate functions in the code to create random graphics. The data collected is also parsed on to Max/msp that then controls audio on ableton live.


--- layout: post esbma_id: 3003 title: Veracity on the iPad date: 2012-08-15 18:00:00 ---
Warning: By the end of this piece I will be shamelessly bragging about our latest product. I'm a Software Craftsman. I love talking about my craft.
I started out very skeptical of the iPad. It was almost as portable as a phone, and almost as capable as a laptop. I counted too many occurrences of the word "almost" and assumed it would be a tweener product that just didn't have a place in the world.
In practice, it turns out this device takes a whole bunch of stuff that I used to do with a computer and lets me do those things ANYWHERE (such as when I'm sitting outside the school waiting for my daughter's cheer practice to end). And that means I do them more often.
Compared to my pre-iPad life, I now read more books. I tweet [a little] more. I check email more. I play games more. I more actively plan my time.
No other technology purchase in my life has had this much impact.
During the thousands of hours I have spent using my iPad, I have found myself partitioning apps into two categories:
Apps I can only use with a network connection (Safari, Words With Friends, Zillow, Maps, TweetBot, etc.)
Apps I can use truly ANYWHERE (iBooks, Note Taker HD, Pages, Civ Rev, etc.)
My current iPad has Verizon LTE. Prior to that, I had 3G models. My home, my office, and my coffee shop all have WiFi. If the result of all this wireless Internet were a perfectly reliable and consistent connection, available everywhere I go, then I would have no reason to group my apps into two categories. But that is not the reality of mobile Internet in 2012:
There are dead spots in LTE and 3G coverage.
When I have LTE/3G, it is usually awesome/decent, but sometimes I get latency of 2-3 seconds, for no apparent reason.
I went very quickly from being amazed at how many places offer WiFi to being shocked at how many places do not. In my case, this includes the mall, the church foyer, and the auditorium at my daughter's school.
I go to hotels and conferences where the WiFi routers are happy to give me a connection to a pipe which is hopelessly overloaded
So, I have a bunch of apps which require me to think about the availability of a wireless Internet connection. At best, this is a distraction. At worst, it is an obstacle.
At this point, I'll poke fun at myself for complaining about #firstworldproblems. I'm thankful for mobile Internet. Really, I am. It is one of the coolest inventions in the history of the world. But I have come to have a somewhat different kind of appreciation for apps I can use without giving a thought to connectivity issues.
As I write this, I'm at #agile2012 in Dallas. In the SourceGear booth, we are showing off our new iPad app for onVeracity.com.
onVeracity.com is our hosting service for Veracity. Free accounts can have unlimited private repositories and up to five users. Paid accounts are $20/user/month.
Veracity combines distributed version control (like git) with bug tracking and wiki, which are also built on the distributed model. It is open source (Apache License 2) and cross-platform (supported on Mac, Linux, and Windows).
Because Veracity's architecture means that everything is distributed (not just version control), our iPad app supports full functionality while offline.
Query bugs:
Add bugs
Modify bugs
View wiki pages:
Edit wiki pages:
Browse changes to the source code:
See the details of any version control changeset:
Look at code diffs:
View burndown charts:
View summaries of recent activity:
And all of those things work without wireless Internet. I can put my iPad in airplane mode and keep working. I only need a network connection when I want to push and pull changes to/from the server:
After seeing a demo of what our iPad app can do, one of the visitors to our booth reacted by saying, "I hate tools. But that is compelling."
Just like the iPad itself, this app has made my daily life a bit different:
My bug list is more up to date
I read and review more code
My backlog is cleaner
I update my estimates more often
I pay more attention to the project documents in our wiki
The Veracity iPad app is free and available in the App Store now. It works in conjunction with onVeracity.com, which is free for up to five users.


There are several utility programs that will assist you in evaluating grammars that you write:
The boy saw the dog. The dog saw the boy. The cat saw the dog. He saw the dog.
and we write the following simple grammar (see writing grammar files):
;; saw.bnf ;; <s> = <np> <vp> . <vp> = <v> <np> . <np> = <det> <n> | <pro> . ; lexicon <det> = the . <n> = dog | boy | cat . <pro> = he . <v> = saw .
After compiling this grammar using vtbnfc.exe we want to examine what strings the grammar accepts. Using fsgenum.exe (the details will be explained shortly) we see that it generates the following:
As we can now see, the grammar overgenerates--- it accepts a string that is not in the language--- the dog saw he. We can now rewrite the grammar to prevent this string from being accepted. To give a more practical example, rules that allow for the acceptance of twelve hundred dollars might also contribute to the acceptance of the ill-formed four thousand twelve hundred dollars. Overgeneration is a common error in writing complex grammars and this tool is a useful debugging aid.
fsgenum [options] fsg-filenameThe available options are:
;; np.bnf ;; <np> = <det> <adj>* <n>. ; lexicon <adj> = old . <det> = the . <n> = dog .
fsgenum np.fsg and fsgenum -f np.fsg both produce the following output:
the dog the old dogfsgenum -f -l 5 np.fsg produces the output:
the dog the old dog the old old dog the old old old dog the old old old old dog
fsgtest np.fsgAfter issuing this command a user can type in a string followed by the enter key. (However, it should be noted that the program does not produce a prompt.) If the entered string is accepted by np.fsg the string will be echoed. If it is rejected the string is echoed with a preceding asterisk. This is illustrated in the following example (where the user input is in bold).
fsgtest np.fsg the dog the dog the old * the old the old dog the old dog [ctrl-c] The external process was cancelled by a Ctrl+Break or another process.A set of test strings can be input to this program by using file redirection. For example, suppose we have a currency grammar (compiled as currency.fsg) that we would like to test. We have a file, good-set, containing strings we would like the grammar to accept:
twelve hundred dollars four thousand two hundred and eleven dollars a dollar fifty a dollar and a half one and a half dollarsWe also have a file, bad-set, of ill-formed strings that we want the grammar to reject:
four thousand twelve hundred dollars four dollars fifty one dollar and a halfWe can test good-set by using the command:
fsgtest currency.fsg < good-setwhich results in the following output:
twelve hundred dollars four thousand two hundred and eleven dollars a dollar fifty a dollar and a half one and a half dollarsWe can test bad-set by using
fsgtest currency.fsg < bad-setwhich results in the following output:
* four thousand twelve hundred dollars * four dollars fifty * one dollar and a half
fsgtest [options] fsg-filenameThe available options are:
fsgtest -p np.fsg the dog 0.50029 the dog the old ******* the old the old dog 0.25029 the old dog [ctrl-c] The external process was cancelled by a Ctrl+Break or another process.To illustrate the use of annotations we compile the following bnf file to produce np2.fsg:
;; np.bnf ;; <np> = <det> <adj>* <n>. ; lexicon <adj> = old:"adjective" . <det> = the:"determiner" . <n> = dog:"noun" .
Now we use fsgtest with the -a option:
fsgtest -a np2.fsg the dog the:"determiner" dog:"noun" the old the:"determiner" old:"adjective" the old dog the:"determiner" old:"adjective" dog:"noun" [ctrl-c] The external process was cancelled by a Ctrl+Break or another process.
fsgtest np.fsg --- fsg np.fsg --- state 0 the -> state 1 p=1.00 state 1 dog -> state * p=0.50 old -> state 1 p=0.50 state *This shows that the grammar has three states (state 0, state 1, and state *). There is only one transition from state 0. It accepts the word "the" and goes to state 1. If you are in state 0 the probability of taking this transition is 1.00 since it is the only transition. State 1 has two transitions. The first transition accepts the word "dog" and goes to the final state, state *. The second transition accepts the word "old" and loops back to state 1. Since there are two transition out of state 1, the local probability of both of these transitions is 0.50.
fsgprint [options] fsg-filenameThe available options are:


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Before Change
def __call__(self, approx, hist, i):
if hist is None or i < self.window_size or i % self.every:
return
diff = ((hist[-self.window_size:] - hist[-self.window_size-1:-1])
/ hist[-self.window_size-1:-1])
mean = diff.mean()
// unbiased std of mean
std = diff.std() / (self.window_size - 1)**.5
t = abs(mean / std)
p = stats.t.cdf(t, df=self.window_size) - .5
// 1 - confidence is lower allowed p
if p < self.critical:
raise StopIteration
After Change
def __call__(self, approx, hist, i):
if hist is None or i < self.every or i % self.every:
return
if self.steps is None:
window = int(max(0.1 * hist.size // self.every, 2.0))
else:
window = int(max(0.1 * self.steps // self.every, 2.0))
losses = hist[::self.every][-window:]
diff = np.abs((losses[1:]-losses[:-1])/losses[:-1])
mean = np.mean(diff)
med = np.median(diff)


Before Change
def validate_snapshot(self, snapshot: Snapshot) -> None:
super().validate_snapshot(snapshot)
if len(snapshot.files) not in [0, 1]:
raise ValueError(
"Binary targets must have only 0 or 1 source files. Any additional files should "
f"be put in a `python_library` which is added to `dependencies`. The target "
f"{self.address} had {len(snapshot.files)} sources: {snapshot.files}."
)
class Compatibility(StringOrStringSequenceField):
A string for Python interpreter constraints on this target.
After Change
def validate_snapshot(self, snapshot: Snapshot) -> None:
super().validate_snapshot(snapshot)
if len(snapshot.files) not in [0, 1]:
raise TargetDefinitionException(
self.address,
"Binary targets must have only 0 or 1 source files. Any additional files should "
f"be put in a `python_library` which is added to `dependencies`. This target "
f"has {len(snapshot.files)} sources: {snapshot.files}.",
)
class Compatibility(StringOrStringSequenceField):
A string for Python interpreter constraints on this target.


|
| | RK45Transport (ot::Mesh *pMesh, double pTBegin, double pTEnd, double pTh) |
| | Default constructor. More...
|
| |
| | ~RK45Transport () |
| |
| void | setParameters (double *b, std::function< double(double, double, double)>g, std::function< double(double, double, double, double)> f, const char *fprefix, double wltTol) |
| | : set parameters for transport equation More...
|
| |
| void | setLDImbParameters (double ldTol=0.1, unsigned int sfK=2) |
| | Used to set the load balancing parameters for the solver. More...
|
| |
| void | applyInitialConditions () |
| |
|
void | performSingleIteration () |
| | : Implementation of the base class time step function
|
| |
|
void | applyBoundaryConditions () |
| | : Implementation of the base class function to apply boundary conditions.
|
| |
|
template<typename T > |
| void | applyBoundaryConditions (const double time, T *vec) |
| | : apply boundary conditions for the each stage of rk45
|
| |
|
void | rkSolve () |
| | : starts the rk-45 solver.
|
| |
| int | storeCheckPoint (const char *fNamePrefix) |
| | : stores the all the variables that is required to restore the rk45 solver at a given stage. More...
|
| |
| int | restoreRK45Solver (const char *fNamePrefix, const unsigned int step, const MPI_Comm comm) |
| | : restore rk45 solver from a given checkpoint. This will overwrite the parameters given in the original constructor More...
|
| |
| | RK (ot::Mesh *pMesh, double pTBegin, double pTEnd, double pTh) |
| |
|
void | freeMesh () |
| | free memeory of the mesh
|
| |
|
| ot::Mesh * | m_uiMesh |
| |
| unsigned int | m_uiOrder |
| |
| unsigned int | m_uiNrp |
| |
| MPI_Comm | m_uiComm |
| |
| double | m_uiTimeBegin |
| |
| double | m_uiTimeEnd |
| |
| double | m_uiT_h |
| |
| double | m_uiCurrentTime |
| |
| double | m_uiT_h_prev |
| |
| double | m_uiTimeStepCurrent |
| |
| unsigned int | m_uiCurrentStep |
| |
| const double | RK45_STAGE_1_COEF =16.0/135.0 |
| |
|
const double | RK45_STAGE_1_T =1.0 |
| |
|
const double | RK45_STAGE_1_U =1.0 |
| |
| const double | RK45_STAGE_2_COEF =0.0 |
| |
|
const double | RK45_STAGE_2_T =(1.0/4.0) |
| |
|
const double | RK45_STAGE_2_U =(1.0/4.0) |
| |
| const double | RK45_STAGE_3_COEF =6656.0/12825.0 |
| |
|
const double | RK45_STAGE_3_T =(3.0/8.0) |
| |
|
const double | RK45_STAGE_3_U1 =(3.0/32.0) |
| |
|
const double | RK45_STAGE_3_U2 =(9.0/32.0) |
| |
| const double | RK45_STAGE_4_COEF =28561.0/56430 |
| |
|
const double | RK45_STAGE_4_T =(12.0/13.0) |
| |
|
const double | RK45_STAGE_4_U1 =(1932.0/2197.0) |
| |
|
const double | RK45_STAGE_4_U2 =(-7200.0/2197.0) |
| |
|
const double | RK45_STAGE_4_U3 =(7296.0/2197.0) |
| |
| const double | RK45_STAGE_5_COEF =-9.0/50.0 |
| |
|
const double | RK45_STAGE_5_T =1.0 |
| |
|
const double | RK45_STAGE_5_U1 =(439.0/216.0) |
| |
|
const double | RK45_STAGE_5_U2 =(-8.0) |
| |
|
const double | RK45_STAGE_5_U3 =(3680.0/513.0) |
| |
|
const double | RK45_STAGE_5_U4 =(-845.0/4104.0) |
| |
| const double | RK45_STAGE_6_COEF =2.0/55.0 |
| |
|
const double | RK45_STAGE_6_T =0.5 |
| |
|
const double | RK45_STAGE_6_U1 =(-8.0/27.0) |
| |
|
const double | RK45_STAGE_6_U2 =(2.0) |
| |
|
const double | RK45_STAGE_6_U3 =(-3544.0/2565.0) |
| |
|
const double | RK45_STAGE_6_U4 =(1859.0/4104.0) |
| |
|
const double | RK45_STAGE_6_U5 =(-11.0/40.0) |
| |
| std::vector< unsigned int > | m_uiRefinedOctIDs |
| |
| std::vector< unsigned int > | m_uiCoarsenOctIDs |
| |
◆ RK45Transport()
| ode::solver::RK45Transport::RK45Transport |
( |
ot::Mesh * |
pMesh, |
|
|
double |
pTBegin, |
|
|
double |
pTEnd, |
|
|
double |
pTh |
|
) |
| |
Default constructor.
- Parameters
-
| [in] | pMesh | mesh that we will use to solve transport equation. |
| [in] | pTBegin | begin time of time step. |
| [in] | pTEnd | end time of time step. |
◆ ~RK45Transport()
| ode::solver::RK45Transport::~RK45Transport |
( |
| ) |
|
: Destructor to release the memory for the allocated variables
◆ applyInitialConditions()
| void ode::solver::RK45Transport::applyInitialConditions |
( |
| ) |
|
|
virtual |
◆ restoreRK45Solver()
| int ode::solver::RK45Transport::restoreRK45Solver |
( |
const char * |
fNamePrefix, |
|
|
const unsigned int |
step, |
|
|
const MPI_Comm |
comm |
|
) |
| |
: restore rk45 solver from a given checkpoint. This will overwrite the parameters given in the original constructor
- Parameters
-
◆ setLDImbParameters()
| void ode::solver::RK45Transport::setLDImbParameters |
( |
double |
ldTol = 0.1 , |
|
|
unsigned int |
sfK = 2 |
|
) |
| |
Used to set the load balancing parameters for the solver.
- Parameters
-
| [in] | ldTol | load imbalance toelrance |
| [in] | sfK | splitter fix value |
◆ setParameters()
| void ode::solver::RK45Transport::setParameters |
( |
double * |
b, |
|
|
std::function< double(double, double, double)> |
g, |
|
|
std::function< double(double, double, double, double)> |
f, |
|
|
const char * |
fprefix, |
|
|
double |
wltTol |
|
) |
| |
: set parameters for transport equation
- Parameters
-
| [in] | constant | vector b as given in transport equation. This should be an array size of 3. |
| [in] | g | initial value when t=pTBegin. |
◆ storeCheckPoint()
| int ode::solver::RK45Transport::storeCheckPoint |
( |
const char * |
fNamePrefix | ) |
|
: stores the all the variables that is required to restore the rk45 solver at a given stage.
- Parameters
-
| [in] | fNamePrefix | checkpoint file pre-fix name. |
The documentation for this class was generated from the following files:


Woodgate urges Middlesbrough to end nine-game winless run to repay fans
Boro tackle Hull at the Riverside on Sunday.
Middlesbrough boss Jonathan Woodgate said it was time his side repaid the club’s fans by ending their nine-game winless run.
Boro will be bidding for their first Sky Bet Championship victory since mid-September against Hull at the Riverside on Sunday.
“We need to start winning football games, there’s no getting away from that and we’ve got a big game against Hull at the weekend, which we need to win,” Woodgate told a press conference.
“We need to start winning games to get more fans in the stadium. They’ve been very patient so far, very good.
“I can’t thank them enough really for the patience they’ve given us, so we need to start repaying them with wins.”
Woodgate, whose side sit third from bottom in the table, is hopeful defender George Friend will be fit.
Rudy Gestede, Ryan Shotton and Marcus Browne remain sidelined through injury and George Saville is suspended.
Hull are nine points and 10 places better off than Boro. Their recent away form – they have won have won three of their last four on the road – has lifted them to within six points of the play-off places.
“It’s all about playing with a no-fear approach and making sure we can go to any team in this league and get a result,” boss Grant McCann told a press conference.
“That’s the way we approach every game. Every game is tough at this level, but we’ve got a belief in what we do.”
Stephen Kingsley, Norbert Balogh and Jon Toral are still out and Josh Magennis serves the final game of a four-match ban.


--- layout: page title: About header-img: "img/about-bg.png" ---
David Braslow is a quantitative social scientist in education and a consultant at the Flatiron School.