Chris Offers a limited lifetime manufacturers warranty; what this means is he will replace the product if there is a determination that the blank was defective. While 99% of breakage occurs due to misuse, and all of our rods are hand made by Chris. Typically, his rods don't leave the shop unless they meet his strict quality control standards. For covered warranty repairs, you must not modify the rod once broken and have ALL the original parts.
There are a few tricks, general steps you can take to preserve the life of your noodle rod. Firstly, it's not a hockey stick Gretzky! no high sticking. Secondly, hook keepers are placed on your rod for hole hopping Not for storage. Your noodle is extruded glass and if stored loaded, eventually it will retain memory (be bent). ALWAYS STORE UNLOADED. Thirdly, Over-reeling; if you over reel your jig and jam it into the tip guide, your rod will bend in a way that will most likely crack the tip. It may not break right away, but it will break eventually. (not covered) if your rod breaks or cracks between the first and second guide, this has most likely occurred. BE CAREFUL and your high end fish slaying machine will last for years to come.


This is the seventh part of a series of posts looking at the PCI recommendations for container security as they apply to Kubernetes environments. This time we’re looking at what the document calls Container Orchestration Tool Auditing, which for this blog will focus on the Kubernetes auditing feature. An index of the posts in this series can be found here.
When looking at Kubernetes auditing the first thing to check is, whether it’s enabled or not. The default is not to enable auditing in base Kubernetes, so it requires cluster operators to either configure it directly on the API server (for unmanaged distributions), or to check whether it’s enabled via their Cloud Service Provider interface (for managed distributions).
The next thing to investigate is, what exactly is going to be audited. In unmanaged clusters, the operator has flexibility to defined exactly what it is they’re going to audit. Kubernetes auditing feature is pretty flexible, allowing for different operations to be captured at different levels or indeed to explicitly avoid capturing specific activity that might be noisy and not interesting from a security perspective. What most policies do have specific activities either captured or blocked and then have a catch-all at the end to handle any cases that are not specifically handled.
In managed clusters, typically there is one audit policy, which is the one defined by the CSP and which can’t be changed. It can be a bit tricky to find out exactly what the setting is, as it’s often not well documented. My current best guess for the three major providers is below (any pointers on better sources appreciated :))
When reviewing an audit policy, it’s worth understanding what’s captured at the different levels of auditing. Generally metadata will capture a lot of the information that you might want to review, like the user making the request and the URL of the API endpoint that’ll tell you what they did. In some cases you might want to capture the full request, which has more details of exactly what was done.
Another point to note when looking at Kubernetes auditing is that there is a limitation if you’re trying to track down whether a specific user carried out a specific action (not an uncommon scenario). The Audit log doesn’t capture the source of the credential used to authenticate to the cluster, so if there are multiple credentials for a given user (quite likely if an attacker has access to the CertificateSigningRequest or TokenRequest APIs) there’s no easy way to tell if it was really that user, or a cloned credential.
In terms of specific recommendations from the PCI guidance document, there’s just the one.
Section 7.1
Threat - Existing inventory management and logging solutions may not suffice due to the ephemeral nature of containers and container orchestration tools integration.
Best Practice - Access to the orchestration system API(s) should be audited and monitored for indications of unauthorized access. Audit logs should be securely stored on a centralized system.
Details - The goal of this recommendation is really to say that you need specific auditing that understands containers and container orchestration, which for Kubernetes is going to be the auditing feature. The second part of this recommendation is a pretty standard piece of good practice which is that you shouldn’t only store the audit logs on the cluster servers, but instead ensure that their securely stored on a centralized system so that, if an attacker compromises a cluster control plane node, you don’t risk them corrupting the audit logs themselves.
Conclusion
Auditing is a foundational detective control and fortunately Kubernetes has a well developed auditing feature, which can capture important security activities if correctly configured. Next time we’ll be looking at Monitoring


Taking the Coursera Deep Learning Specialization, Neural Networks and Deep Learning course. Will post condensed notes every week as part of the review process. All material originates from the free Coursera course, taught by Andrew Ng. See deeplearning.ai for more details.
Assumes you have knowledge of Week 1.
Table of Contents
Neural Networks Basics
Logistic Regression as a Neural Network
Binary Classification
Binary classification is basically answering a yes or no question. For example: Is this an image of a cat? (1: Yes, 0: No).
Let’s say you have an image of a cat that is 64 by 64 pixels. You have labeled training data indicating whether or not each image is a cat (y=1
) or not a cat (y=0
).
Notation
Let’s say each picture can be represented as a single vector of size $n_x$ combined by joining three vectors (64 * 64 red pixel values) + (64 * 64 green pixel values) + (64 * 64 blue pixel values).
$$ n_x = \text{ unrolled image vector size } = 12288 $$ $$ m \text{ training examples } = \{ (x^{(1)}, y^{(1)}), (x^{(2)}, y^{(2)}), \dots, (x^{(m)}, y^{(m)}) \} $$ $$ x \in \mathbb{R}^{n_x}, y \in \{ 0, 1 \} $$ $$ X \in \mathbb{R}^{n_x \times m} $$ $$ Y \in \mathbb{R}^{1 \times m} $$ $$ X = \begin{bmatrix} \vdots & \vdots & \vdots & \vdots \newline x^{(1)} & x^{(2)} & \dots & x^{(m)} \newline \vdots & \vdots & \vdots & \vdots \end{bmatrix} $$ $$ Y = \begin{bmatrix} y^{(1)} & y^{(2)} & \dots y^{(m)} \end{bmatrix} $$
Logistic Regression
Logistic regression is when you want to have an answer in a continuous output. For instance, with the image of a cat problem, rather than having whether or not the image is of a cat or not, one could ask “What is the probability that this is a cat?”
Notation
Given $x$, want $\hat{y} = P(y=1 | x)$, $$ x \in \mathbb{R}^{n_x} $$ $$ 0 \leq \hat{y} \leq 1 $$ $$ \text{Parameters: } w \in \mathbb{R}^{n_x}, b \in \mathbb{R} $$ $$ \text{Output: } \hat{y} = \sigma(w^Tx + b) $$ $$ z = w^Tx + b $$ $$ \sigma(z) = \dfrac{1}{1 + e^{-z}} $$
If $z$ is a large positive number then $\sigma(z) = \dfrac{1}{1 + 0} \approx 1 $.
If $z$ is a large negative number then $\sigma(z) = \dfrac{1}{1 + \inf} \approx 0 $.
Logistic Regression Cost Function
A loss function is applied to a single training example. For logistic regression, typical loss function used is:
$$ \mathcal{L}(\hat{y}, y) = -(y\log{\hat{y}} + (1-y)\log{(1-\hat{y})}) $$
- If $y = 1$; $ \mathcal{L}(\hat{y}, y) = -\log{\hat{y}} $
- Want $\log{\hat{y}}$ to be large, we want $\hat{y}$ to be large.
- If $y = 0$; $ \mathcal{L}(\hat{y}, y) = -\log{(1-\hat{y})}$
- Want $\log{(1-\hat{y})}$ to be large, we want $\hat{y}$ to be small.
A cost function is applied to the entire training set, it evaluates the parameters of your algorithm. (Cost of your parameters).
$$ J(w, b) = \dfrac{1}{m} \sum\limits^{m}_{i=1} \mathcal{L}(\hat{y}^{(i)}, y^{(i)}) $$ $$ J(w, b) = -[\dfrac{1}{m} \sum\limits^{m}_{i=1} y^{(i)} \log{\hat{y}^{(i)}} + (1-y^{(i)})\log{(1-\hat{y}^{(i)})}] $$
Gradient Descent
The cost function measures how well $w, b$ measure the training set. We want to find the $w, b$ that minimize $J(w, b)$.
Repeat { $$ w := w - \alpha \dfrac{\partial J(w, b)}{\partial w} $$ $$ b := b - \alpha \dfrac{\partial J(w, b)}{\partial b} $$ }
Typically, in code, the derivative term is written as dw
. Example: w = w - alpha * dw
.
Derivatives
You don’t need a lot of calculus to understand neural networks. This is a basic example of the derivative of a straight line $f(a) = 3a$.
More Derivatives Examples
This is another example of the derivative of $f(a) = a^2$.
Here are three examples: $f(a) = a^2$, $f(a) = a^3$, and $f(a) = \log{a}$.
Take home: - Derivative just means the slope of the line. - You want to find slope? Look at calculus textbook.
Computation Graph
Computation graph is a left to right pass visualization of the math behind your algorithm.
Derivatives with a Computation Graph
Recall calculus, chain rule.
)
Logistic Regression Gradient Descent
Recall the follwing logistic regression formula defined above.
Gradient Descent on m Examples
Recall the cost function:
$$ J(w, b) = \dfrac{1}{m} \sum\limits^m_{i=1} \mathcal{L}(a^{(i)},y^{(i)}) $$ $$ a^{(i)} = \hat{y}^{(i)} = \sigma(z^{(i)}) = \sigma(w^Tx^{(i)} + b) $$
This is the naive formula for a single step of logistic regression on $m$ examples with $n = 2$ (two features) using gradient descent.
begin single step of gradient descent
$ J = 0; dw_1 = 0; dw_2 = 0; db = 0 $
// define accumulator values
For $i = 1 \text{ to } m$ do {
$$ z^{(i)} = w^Tx^{(i)} + b $$
$$ a^{(i)} = \sigma(z^{(i)}) $$
$$ J = - [ y^{(i)} \log(a^{(i)}) + (1-y^{(i)})\log(1-a^{(i)}) ] $$
$$ dz^{(i)} = a^{(i)} - y^{(i)} $$
$$ dw_1 = dw_1 + x_1^{(i)} \times dz^{(i)} $$
$$ dw_2 = dw_2 + x_2^{(i)} \times dz^{(i)} $$
// if n were greater than two, continue to do this for dw_3, etc
$$ db = db + dz^{(i)} $$
}
$ J = \dfrac{J}{m} $; $ dw_1 = \dfrac{dw_1}{m} $; $ dw_2 = \dfrac{dw_2}{m} $; $ db = \dfrac{db}{m} $;
end single step of gradient descent
For each step of gradient descent, you need to do effectively two for loops:
- for your $m$ number of training examples
- for your $n$ number of example features.
This is why vectorization is important in deep learning.
Python and Vectorization
Vectorization
Vectorization is the art of getting rid of explicit for loops in code.
Example: $ z = w^Tx + b $ where $ w \in \mathbb{R}^{n_x} $ and $ x \in \mathbb{R}^{n_x} $
// non vectorized
z = 0
for i in range(n-x):
z += w[i] * x[i]
z += b
//vectorized
import numpy as np
z = np.dot(w,x) + b
The following is a vectorization demo.
import numpy as np
import time
a = np.random.rand(1000000)
b = np.random.rand(1000000)
tic = time.time()
c = np.dot(a, b)
toc = time.time()
print("vectorized version: " + str(1000 * (toc-tic)) + "ms")
# vectorized version: 14.4419670105ms
c = 0
tic = time.time()
for i in range(1000000):
c += a[i]*b[i]
toc = time.time()
print("non-vectorized version: " + str(1000 * (toc-tic)) + "ms")
# non-vectorized version:<PHONE_NUMBER>8ms
Vectorization increases performance by allowing the program to take advantage of parallelization. Wherever possible, avoid for loops.
More Vectorization Examples
Whenever possible, avoid explicit for-loops.
# matrix times a vector, vectorized
A = np.dot(A, v)
# apply exponential operation on every element of a matrix/vector
u = np.zeros((n, 1))
for i in range(n):
u[i] = math.exp(v[i])
# or vectorized
u = np.exp(v)
np.log(v) # element wise log
np.abs(v) # elementwise abs
np.maximum(v, 0) # ReLU
Vectorizing Logistic Regression
We want to calculate:
for i in range of 1 to m { $$ z^{(i)} = w^Tx^{(i)} + b $$ $$ a^{(i)} = \sigma(z^{(i)}) $$ }
Recall that $X$ is in the shape of $(n_x, m)$, making it an $\mathbb{R}^{n_x \times m}$ sized matrix
$$ X = \begin{bmatrix} \vdots & \vdots & \vdots & \vdots \newline x^{(1)} & x^{(2)} & \dots & x^{(m)} \newline \vdots & \vdots & \vdots & \vdots \end{bmatrix} $$
$$ Z = w^TX+b $$
Z = np.dot(w.T, X) + b
# Z is a row vector of size m
A = sigmoid(Z)
Vectorizing Logistic Regression’s Gradient Output
db = 1 / m * (np.sum(dZ))
Broadcasting in Python
import numpy as np
A = np.array([[56.0, 0.0, 4.4, 68.0],
[1.2, 104.0, 52.0, 8.0],
[1.8, 135.0, 99.0, 0.9]])
cal = A.sum(axis=0)
print(cal)
# [59. 239. 155.4 76.9]
percentage = 100*A/cal.reshape(1,4)
print(percentage)
#[[ 94.91525424 0. 2.83140283 88.42652796]
# [ 2.03389831 43.51464435 33.46203346 10.40312094]
# [ 3.05084746 56.48535565 63.70656371 1.17035111]]
Python does some magic in broadcasting for matrix/array operations:
Note on Python/NumPy Vectors
Broadcasting may introduce subtle bugs in code, as column/row mismatch no longer is thrown
import numpy as np
a = np.random.randn(5) # avoid rank 1 arrays, explicitly define your column vector (5, 1) or row vector (1, 5)
print(a)
# [ 1.2, 2.3, 3.4, 4.5, 5.6 ]
print(a.shape)
# (5,)
print(a.T)
# [ 1.2, 2.3, 3.4, 4.5, 5.6 ]
a = np.random.randn(5, 1)
print(a)
# [[1.2]
# [2.3]
# [3.4]
# [4.5]
# [5.6]]
Occastionally assert your shape when you’re not sure assert(a.shape == (5, 1))
.
Move on to Week 3.


You will not be billed durng your free trial. To keep your projects running after the trial end, upgrade to a paid option.


{{ define "main" -}}
An opportunity to share ideas, consolidate resources, and plan for the future needs of community colleges
in the state of Michigan is one of MichMATYC's primary purposes. The organization has two conferences and meetings each year –
one in October hosted by one of our community colleges, and another in April in partnership with the Michigan Section
of the Mathematical Association of America (MAA).
For more information regarding our annual conferences and meetings, please see the following future and previous conferences.


VNN Discord Bot
Home
Commands
Bot Status
Warn/Kick/Ban Logs
About Us
THE PEOPLE
ACFC
"im not sure atm. ill add my own later"
Jota
"Penis"
2Eggs
"I’m the real Jota"
Todd
"temptemptemp"


Jihye Hong shared a link
The Beginner's Guide to Choosing Wine
I can recall the single moment when I became fascinated with wine. Believe me, it wasn’t classy. TIME


Progress of the Project
We have written several specification documents to describe the future architecture of the project.
We have finished writing the user-interface and its backend in the arbitrator.
We have a framework that allows us to arbitrarily delay, drop and pass packets.


Discuss new maps, towns, the world and storyline
Moderators: Joe M., Karl G.
-
- PV Map Tools - PUBLIC ALPHA 0.1 [6/27: save/load and coords]
by Karl G. » Mon May 28, 2007 4:17 pm
- 42 Replies
- 9520 Views
- Last post by BisJac
Mon Jul 30, 2007 10:00 pm
-
- Future Additions
by Karl G. » Sun Jan 07, 2007 12:29 am
- 0 Replies
- 1253 Views
- Last post by Karl G.
Sun Jan 07, 2007 12:29 am
-
- Two Quests Featuring Alpha testers and Karl.
by marzuku » Sun May 31, 2009 7:11 am
- 15 Replies
- 8203 Views
- Last post by Rabit561
Sat Jun 13, 2009 12:30 am
-
- An idea for the world structure.
by Vitriol » Tue Jul 17, 2007 1:45 pm
- 31 Replies
- 5321 Views
- Last post by Axel
Thu May 07, 2009 8:14 am
-
- Cript Idea
by Axel » Thu Mar 19, 2009 6:20 am
- 17 Replies
- 1351 Views
- Last post by Karl G.
Sat Apr 18, 2009 10:21 am
-
- The newbie area.
by Draco » Fri Oct 17, 2008 4:13 pm
- 6 Replies
- 876 Views
- Last post by Rabit561
Wed Dec 17, 2008 1:27 am
-
- About maps
by 9sam1 » Sat Sep 13, 2008 1:36 pm
- 0 Replies
- 418 Views
- Last post by 9sam1
Sat Sep 13, 2008 1:36 pm
-
- New World Map
by ziggman » Sun Oct 07, 2007 11:26 am
- 15 Replies
- 2083 Views
- Last post by Paz the Spaz
Mon Jun 30, 2008 8:59 pm
-
- Arcane Texture
by ogrelol » Sun Sep 30, 2007 10:58 am
- 0 Replies
- 750 Views
- Last post by ogrelol
Sun Sep 30, 2007 10:58 am
-
- Some generic World Textures
by Sankt Pauli » Mon Sep 03, 2007 10:03 am
- 8 Replies
- 1626 Views
- Last post by JSunJShineR
Tue Sep 18, 2007 10:11 am
-
- Some of the skins i made
by ziggman » Tue Aug 21, 2007 3:17 am
- 5 Replies
- 1210 Views
- Last post by Karl G.
Wed Aug 22, 2007 8:47 am
-
- Project Volucris: (Xenimus Arena System) Enhanced.
by Richard. UK » Fri Aug 03, 2007 3:34 pm
- 8 Replies
- 1930 Views
- Last post by Volcomboy99
Wed Aug 08, 2007 9:25 pm
-
- Posting my Map...
by Richard. UK » Fri Aug 03, 2007 1:39 pm
- 1 Replies
- 978 Views
- Last post by thadiusofx3
Fri Aug 03, 2007 4:25 pm
-
- Map Editor Problems??
by Richard. UK » Wed Jul 25, 2007 4:26 am
- 7 Replies
- 1624 Views
- Last post by Karl G.
Fri Jul 27, 2007 4:02 pm
-
- water atempt 2
by lawn gnome » Thu Jul 26, 2007 5:34 pm
- 6 Replies
- 1336 Views
- Last post by JSunJShineR
Thu Jul 26, 2007 6:23 pm
-
- Water attempt
by lawn gnome » Tue Jul 24, 2007 5:35 pm
- 2 Replies
- 825 Views
- Last post by Karl G.
Wed Jul 25, 2007 6:31 am
-
- t3+caslte
by ziggman » Thu Jun 14, 2007 3:04 am
- 11 Replies
- 2286 Views
- Last post by ziggman
Thu Jul 19, 2007 12:28 pm
-
- Is anyone
by thadiusofx3 » Wed Jun 13, 2007 11:21 am
- 12 Replies
- 2647 Views
- Last post by Karl G.
Fri Jul 06, 2007 5:43 pm
-
- Begin Textures
by ziggman » Fri Jun 22, 2007 2:05 am
- 32 Replies
- 7357 Views
- Last post by a_link_to_the_past
Sat Jun 30, 2007 11:34 pm
-
- Interesting discovery
by a_link_to_the_past » Sat Jun 30, 2007 11:06 am
- 2 Replies
- 1079 Views
- Last post by Karl G.
Sat Jun 30, 2007 4:41 pm
-
- Link's maps
by a_link_to_the_past » Tue Jun 12, 2007 9:06 am
- 11 Replies
- 2243 Views
- Last post by Karl G.
Thu Jun 28, 2007 9:23 pm
-
- Dungeon / Music Collaboration
by Ender » Fri Jun 22, 2007 8:12 pm
- 0 Replies
- 810 Views
- Last post by Ender
Fri Jun 22, 2007 8:12 pm
-
- Made a town?
by shadowni » Thu Jun 21, 2007 7:14 pm
- 7 Replies
- 1459 Views
- Last post by Karl G.
Fri Jun 22, 2007 8:31 am
-
- Shadow's Maps
by shadowni » Tue Jun 12, 2007 4:37 pm
- 3 Replies
- 1033 Views
- Last post by shadowni
Thu Jun 21, 2007 6:07 pm
-
- I HATE MY COMPUTER!
by ziggman » Thu Jun 14, 2007 1:27 am
- 3 Replies
- 1196 Views
- Last post by a_link_to_the_past
Thu Jun 14, 2007 6:11 pm
Return to Board index
Users browsing this forum: No registered users and 1 guest
Forum permissions
You cannot post new topics in this forum
You cannot reply to topics in this forum
You cannot edit your posts in this forum
You cannot delete your posts in this forum


DDE LinkTopic
In the Visual Basic program you must start a conversation with Pegaesys before data is exchanged.
To initiate a conversation with Pegaesys, set up a Link to Pegaesys in the format:
Control.LinkTopic = "Application|Topic"
where
- LinkTopic is a Property of the control,
- Application in our case is Pegaes
- Topic can be: System, General, or Commands.
for example:
Text1.LinkTopic = "Pegaes|General"
- The bar | separator is required syntax.
- The quote marks are required.
- Pegaes is the server application.
- General, System, or Commands are server Topics.


Preparation time
less than 30 mins
Cooking time
less than 10 mins
Serves
Serves 1
For the squid tempura, place the vegetable oil into a deep, heavy-bottomed saucepan and heat until a small cube of bread sizzles and turns golden when dropped into it. (CAUTION: hot oil can be dangerous. Do not leave unattended.)
Place the flour into a large mixing bowl and whisk in enough sparkling water to make a batter the consistency of double cream.
Dip the squid rings into the batter to coat, shake off any excess and carefully place into the hot oil. Deep fry for 3-4 minutes, or until golden-brown. Remove from the oil with a slotted spoon and drain on kitchen paper, then sprinkle with sea salt.
For the citrus rice, place the hot rice into a large bowl and stir in the lime zest and juice and the coriander.
Lightly oil a ramekin, place the rice mixture into the ramekin and press down slightly.
To serve, turn the rice out onto a serving plate, top with the tempura squid and garnish with lime wedges and fresh coriander.


This page will include descriptions of all messages used in Nyzo. Deprecated messages will not be included.
The 200 - 299 range is defined as "test messages" in the current code comments. However, the ping (200/201) message
pair, which is the only message pair in the range, is used in standard operation. The test range will be absorbed
into the standard operation range, which will encompass 0 - 299. In anticipation of this change, the ping (200) and
ping response (201) are currently included in this section.
invalid
0
A placeholder number. Unused. As the name indicates, not a valid message.
transaction
5
Contains a single Nyzo transaction.
transaction response
6
Returned to the sender of a transaction message. Indicates whether the transaction was accepted. Includes a
field for a human-readable message explaining acceptance or rejection of the transaction.
previous-hash request
7
Requests the height and hash of the verifier's current frozen edge.
previous-hash response
8
Returned in response to a previous-hash request. Should contain the height and hash of the frozen edge. This
information is used when building transactions.
new block
9
Used by verifiers to send newly produced blocks to other verifiers.
new-block response
10
Acknowledges receipt of a new block.
block request
11
Used to request a series of blocks and, optionally, an initial balance list.
block response
12
Sent in response to a block request. To conserve resources, verifiers are configured to respond to block
requests for no more than 10 blocks at a time and to limit frequency of responses that include balance
lists.
transaction-pool request
13
Requests pending transactions from a verifier. This request must be self-signed (signed with the verifier's
own private key).
transaction-pool response
14
Sent in response to a transaction-pool request. If the request is not self-signed, a valid but empty
response is returned. Contains full transaction information for all pending transactions on the verifier.
mesh request
15
Requests a list of all nodes in the cycle.
mesh response
16
Sent in response to a mesh request. Returns a list of all nodes in the cycle. Each node includes identifier,
IP address, TCP port, and queue timestamp according to the responding verifier. Currently has a maximum size
of 10,000 nodes, but this limit should not be a concern for many years.
status request
17
Requests the status of the verifier. If the request is self-signed (signed with the verifier's own private
key), the status response will contain additional details not contained in a typical status response.
status response
18
Sent in response to a status request. Provides, in plain text, various information about the current
operational state of the verifier. If the status request is self-signed (signed with the verifier's own
private key), this response will contain additional details not contained in a typical status response.
block vote
19
Sent to indicate choice of a block to become the new frozen edge. Contains the hash and block height of the
block, along with the current timestamp. Sent over UDP.
block-vote response
20
An empty message indicating receipt of a block vote. While verifiers still produce this message in response
to TCP block vote messages, they are seldom used because block votes are now sent over UDP.
new-verifier vote
21
Sent to indicate choice of the next verifier to join the cycle. Sent over UDP.
new-verifier vote response
22
An empty message indicating receipt of a new-verifier vote. While verifiers still produce this message in
response to TCP new-verifier vote messages, they are seldom used because new-verifier votes are now sent
over UDP.
missing-block-vote request
23
Requests a verifier's block vote at a specified height.
missing-block-vote response
24
Sent in response to a missing-block-vote request. Contains the vote for the requested height, if available.
missing-block request
25
Requests a missing block with a specified hash and height.
missing-block response
26
Sent in response to a missing-block request. Contains the block with the request height and hash, if
available.
timestamp request
27
Requests the current timestamp of a verifier.
timestamp response
28
Sent in a response to a timestamp request. Contains the current timestamp of the verifier.
hash-vote override request
29
Requests setting the manual block-vote override to a specified hash at a specified height. If the hash is
all zeros, clears the manual block-vote override at the specified height. This request must be self-signed
(signed with the verifier's own private key).
hash-vote override response
30
Acknowledges receipt of a hash-vote override request. Indicates whether the override was accepted. Includes
a plain-text explanation.
consensus-threshold override request
31
Requests setting the consensus threshold to a value other than 75% for the specified height. Expressed as an
integer percentage of cycle length. If the value is 0, clears the consensus-threshold override at the
specified height. This request must be self-signed (signed with the verifier's own private key).
consensus-threshold override response
32
Acknowledges receipt of a consensus-threshold override request. Indicates whether the override was accepted.
Includes a plain-text explanation.
new-verifier-vote override request
33
Requests setting the new-verifier vote to the specified identifier. A value of all zeros erases the
override. If not erased with a new override request, the override will persist until restart of the verifier
or until the verifier represented by the override joins the cycle. This request must be self-signed (signed
with the verifier's own private key).
new-verifier-vote override response
34
Acknowledges receipt of a new-verifier-vote override request. Indicates whether the override was accepted.
Includes a plain-text explanation.
bootstrap request
35
Requests information useful for a verifier to begin tracking the cycle. This request contains a field
for the TCP port of the requesting verifier, but the field is no longer used.
bootstrap response
36
Sent in response to a bootstrap request. Contains the frozen-edge height, frozen-edge hash, and identifiers
in the cycle leading up to the frozen edge. This response is used by the
ChainInitializationManager, which is used by both the verifier and client run
modes to initialize blockchain tracking. This response is also used by the
CycleTransactionSignScript to determine the next verifiers in the cycle and by
SentinelUtil to initialize the frozen edge.
block-with-votes request
37
Requests a block and the cycle's corresponding block votes for a particular height.
block-with-votes response
38
Sent in response to a block-with-votes request. Contains a block and the cycle's latest block votes for the
height of the block. Only produced for blocks at or behind the frozen edge.
verifier-removal vote
39
Sent from an in-cycle verifier to all other in-cycle verifiers to indicate which verifiers should be removed
from the cycle due to poor performance.
verifier-removal-vote response
40
An empty message that acknowledges a verifier-removal-vote message.
full-mesh request
41
Requests a list of all nodes, both in-cycle and out-of-cycle.
full-mesh response
42
Sent in response to a full-mesh request. The structure is the same as message 16
(mesh response). Currently has a limit of 10,000 nodes. If the size of the full mesh is more than 10,000
nodes, includes all in-cycle nodes and a random subset of out-of-cycle nodes.
node join
43
Sent to request registering or updating a verifier's entry on another verifier. If the sending verifier is
in-cycle or the update does not result in an identifier change at the IP address, this results in an
immediate update. If the sending verifier is out-of-cycle and the message would either result in an
identifier change or an addition of a new entry, the node is added to a queue for later querying before an
update is performed.
node-join response
44
Sent in response to a node join. Results in the same updates as a node join, additionally updating
information for out-of-cycle nodes that is not updated in some cases due to node joins.
frozen-edge balance list request
45
Requests the balance list of the verifier's current frozen edge. Does not specify height. Currently only
used by MeshListenerStressScript.
frozen-edge balance list response
46
Sent in response to a frozen-edge balance list request. Contains the balance list of the current frozen
edge. Only provided once per IP address per 10 minutes unless the IP address is whitelisted by the verifier.
If requested more frequently, an empty but valid response is produced.
minimal block
51
Used by sentinels to send blocks for verifiers attempting to join the cycle. Contains only a verification
timestamp and the block signature in the message object. Sent over UDP.
minimal-block response
52
Unused. Reserved to preserve request/response alignment with even and odd message numbers. Minimal blocks
have only been sent over UDP, and responses have never been sent to UDP messages.
IP-address request
53
Requests the IPv4 address of this host as seen from the receiver. This is used by the sentinel in the
automatic whitelist negotiation process.
IP-address response
54
Sent in response to an IP-address request. Contains the IPv4 address of the requester as seen by this host.
ping
200
A simple message for checking reachability.
ping response
201
Sent in response to a ping. Includes a human-readable message.
This is described as "debugging and private messages" in the current code, and the whitelist request (424) and
response (425) are currently included in this range. As the standard-operation range already includes several other
private (self-signed) messages, the whitelist request and response would be more appropriately located in that
range.
block-rejection request
400
Designed to request rejection of blocks to simulate a brief outage. This message is not
yet implemented.
block-rejection response
401
Designed to be sent in response to a block-rejection request. This message is not yet
implemented.
detachment request
402
Designed to request that a verifier fail to produce a block for two cycles to simulate a verifier tracking
problem. This message is not yet implemented.
detachment response
403
Designed to be sent in response to a detachment request. This message is not yet
implemented.
unfrozen-block-pool purge request
404
Requests clearing of the unfrozenBlocks map in
UnfrozenBlockManager.
unfrozen-block-pool purge response
405
Indicates whether the unfrozen-block-pool purge request was accepted. Includes a plain-text explanation.
unfrozen-block-pool status request
406
Requests information about the contents of the unfrozenBlocks map in
UnfrozenBlockManager.
unfrozen-block-pool status response
407
Produced in response to an unfrozen-block-pool status request. Shows information about block heights,
hashes, verifier identifiers, chain scores, and block vote.
mesh status request
408
Requests textual information regarding the nodes returned by the
NodeManager.getMesh() method.
mesh status response
409
Produced in response to a mesh status request. This message was used extensively in pre-release testing.
However, this response is limited to 2000 nodes, which limits its utility with the current Nyzo queue.
toggle-pause request
410
Intended to request completely pausing a verifier to simulate an outage. This message
is not currently implemented.
toggle-pause response
411
Intended to be produced in response to a toggle-pause request. This message is not
currently implemented.
consensus-tally status request
412
Requests the internal state of the BlockVoteManager for the block one
past the frozen edge.
consensus-tally status response
413
Provides a plain-text list of all block votes in BlockVoteManager for
the block one past the frozen edge. First displays the nickname (or identifier, if no nickname is available)
and the compact hash of the vote of each in-cycle verifier from which a vote has been received. Then,
displays the full hash and vote count for each block for which a vote has been received.
new-verifier-tally status request
414
Requests the internal state of the NewVerifierVoteManager
new-verifier-tally status response
415
Provides a plain-text list of the identifiers, nicknames (if available), and vote counts in
NewVerifierVoteManager.


Each time the page is loaded a new configuration is randomly generated.The game can be stopped and re-started thanks to the buttons.
Some objects have been added to see some specific actions going in the game. The objects will be randomly postionned in the world.


I have spent many years working in customer service in the retail and food service industries, and am on a new journey as a software developer. I bring an appetite for problem solving (and delicious curry) and joy in helping others to every situation. Roles I have filled in the workplace include:
- Sales Representative
- Customer Service
- People Management
- Shift Managment
- Freight Processing
- Event Coordinator
In my spare time, I enjoy reading, playing strategy games of all shapes and sizes, camping, hiking, and taking care of my delightful pets, who you can meet below. I am also a former musician and enjoy casually listening to and sometimes playing Jazz, Funk, and Classical music.
I have been married for six years, and have five siblings, the youngest of whom is only six years old!
Mandi, the Magnificent
Mandi the Magnificent, sometimes referred to as simply Mandificent, is my delightful wife. Her patience and calm in tolerating my comedic stylings cannot be overstated.
Maggie, First Among Dogs
Mandi and I have the pleasure of acting as stewards to the incomparable Maggie, First Among Dogs in all the world, unmatched in honor, whose allowing us to serve her is simply one of many examples of her benevolence to all her human subjects. Maggie's press team sometimes releases images of her here.
Lady Yunalesca
The esteemed Lady Yunalesca brings her quiet wisdom and sublime grace to the household, and offers us each a taste of proper etiquette and demeanor.
Lady Primrose
Serving as the Lady Yunalesca's assistant, the young Lady Primrose has a special brand of youthful energy and creativity on offer.


From the newsletter ... |
||
The people I meetOne of the privileges of ministry is meeting many different people from a great variety of walks of life. Part of the role also involves listening to people and sharing in their hopes and fears, their pain and doubt. All this is very often just under the surface, hidden from public view. I love reading the gospels because they give many accounts of interesting people that Jesus met and they had their doubts and fears too. After Easter we think of Thomas, perhaps unfairly remembered as doubting Thomas because of the one occasion when he didn't believe the disciples when they saw the risen Lord. I have often wondered how I would have reacted if I were in his shoes? In the event Jesus came to him and showed him the proof he was looking for, the holes in his hands and side. Yet I cannot help but feel that doubts and questions are a good thing at times. However sure of our beliefs we may be, we all have our doubts. This is nothing to be ashamed of, or to fear. Rather, God is able to take our questioning and lead us into a deeper understanding of himself, his love and his grace. Understood in this way we can see that doubt is not the opposite of faith, but rather an essential part of our journey. We may not be able to say with John Newman "Firmly I believe and truly..." rather our experience may be nearer to the father of a sick child who approached Jesus and said "I believe, help me with my unbelief'.
Cogges Parish | Other articles | Feedback © 2004; Published in Cogges Parish monthly newsletter, May 2004 |


Beautiful Norway
See the Northern Lights--Tromsø’s northern location makes it perfect for seeing
the Northern Lights, and it is actually one of the places with the highest probability of
experiencing them. Local tour operators offer many types of excursions to give the best possible
chances of seeing this incredible phenomenon depending on conditions and the time of year.
Check out traditional and modern Norway--Tromsø has close links to both modern and
traditional Norway. It has everything from the northernmost gay pride parade in the world to
close links with the local Sami reindeer herders, the original, nomadic peoples of Norway, Sweden,
and Finland. It still thrives off traditional fishing but also has a huge military base. These
odd mixes make Tromsø a very interesting place from which to explore Norwegian culture.
Plenty of native wildlife--The Sami village in Tromsø allows visitors to get up close and
personal with reindeer, a quintessential part of the Arctic landscape. Tromsø also has numerous whale
safaris, as whales, and in particular sperm whales, visit the Norwegian coast every year. The Polar Park
leaves a safe distance between you and some of the more dangerous animals of the Arctic including
wolves, bears, muskoxen, and lynx.


← Back to the list of projects
Posted by Eli Duke on 19 Dec, 2005
Category: the misc
so, victorybrothers.com is not available, and the owner is not interested in selling it (even though he’s not using it at all). i did a little more checking, and victorybros.com is also taken. so, can y’all think of a good rearrangement of that? go to www.instantdomainsearch.com to see if it is available. if we can’t think of anything, is it worth changing our name? just a thought.
Comments
Brandon Troy on 20 Dec, 2005:
victorybrosinc.com is available
Eli Duke on 20 Dec, 2005:
i like that, i think that we are going somewhere with that, but i was wondering about stolen stallion. do we want to do anything with that? what was that exactly, our production company? www.stolenstallion.com is available by the way.

Andy Brennan on 4 Jan, 2006:
also vbcomedy.com which is pretty simple.
Drew Lazzara on 4 Jan, 2006:
I think “VBcomedy.com” is too close to “VDcomedy.com” and, although nothing is as funny as a well-placed venerial disease joke, I don’t think it’s a positive association for us. My opinion is moving more and more away from the “Inc.” portion of victory brothers. I think I really like I really like The Victory Brothers as our formal name. I think it really works and sounds great
Eli Duke on 4 Jan, 2006:
i’m really torn about exactly what website it should be, but in the end i don’t think that i matters too much. i think that if we can pick something (and it doesn’t have to have victory brothers in it) and then we just associate ourselves with that. like hilarioust.com or something like that. as far as the vb related ones, i’m more in favor of victorybros.com than any of the others. oh yeah, and andy, you need to upload a picture of you or else i have no idea who is making comments.
Tyler Beem on 6 Jan, 2006:
uber alles, i think i’m going to have to go with “victorybrothersinc.com” it just feels right, kinda like love between a man and a hooker. also, you bitches need to be prepared, in the very near future i’m going to start posting the script for part 1. i’d say i’m excited to hear you thoughts and opinions, but ya’ll know i’m a terrible liar.


{% extends "template.html" %} {% block title %}404: Not Found{% endblock %} {% block body %}
Oops, you've been waylaid. No clue here.


Field Trips
Field trips are an important part of our curriculum. Each class is allowed 4 field trips a year (these include on-site activities such as Bug Chicks or Penny's Puppets). For GS and up you are allotted an additional fifth field trip that is the English teacher's choosing. Below please find suggested field trip possibilities. If you want to plan a field trip in a different subject area please contact me and chacnes are I can reach out to local businesses to set something up.
To request a field trip you can contact me directly or submit the following form.
Field Trip Options
Oregon Children's Theater
- 1111 SW Broadway Portland, OR
- Transporation: Tri-Met
- Ages: K-3rd
- Cost: $6-$8/stu
- Off-site
OMSI
- 1945 SE Water Ave Portland, OR
- Transporation: Charter Bus
- Ages: K-3rd
- Cost: varies
- Off-site & on-site
World Forestry Center
- 4033 SW Canyon Rd. Portland, OR
- Transporation: Charter bus
- Ages: pre-K-3rd
- Cost: $8/stu
- Off-site
Tryon Creek
- 11321 SW Terwilliger Blvd. Portland, OR
- Transporation: Charter bus
- Ages: pre-K-3rd
- Cost: $6/stu (morning), $10/stu (all day)
- Off-site
Audubon Society
- 5151 NW Cornell Rd. Portland, OR
- Transporation: Charter bus
- Ages: pre-K-3rd
- Cost: $6/stu, varies
- Off-site & on-site
Haystack Rock
- Cannon Beach, OR
- Transporation: parent drivers
- Ages: K-3rd
- Cost: unknown
- Off-site
The Bug Chicks
- Portland, OR
- Transporation: N/A
- Ages: preschool-3rd
- Cost: $150/session
- On-site
Tears of Joy Puppet Theater
- Imago Theater & Markham Elementary School
- Transporation: Charter bus
- Ages: preschool-3rd
- Cost: $6.50/stu, $200-$400 for on site
- Off-site & on-site
Oregon Ballet Theater
- Keller Auditorium Portland, OR
- Transporation: Tri-Met/Charter bus
- Ages: pre-K-3rd
- Cost: $8/stu
- Off-site
Oregon Zoo
- 4001 SW Canyon Rd. Portland, OR
- Transporation: Charter bus
- Ages: pre-K-3rd
- Cost: $3-$4/stu
- Off-site & on-site
Rice NW Museum of Rocks & Minerals
- 26385 NW Groveland Dr. Hillsboro, OR
- Transporation: Charter bus
- Ages: preschool-3rd
- Cost: $150/group
- Off-site & on-site
Portland Culinary Workshop
- 807 N Russell St. Portland, OR
- Transporation: Charter bus
- Ages: pre-K-3rd
- Cost: $10/stu
- Off-site
Oregon Ballet Theater
- 11741 SE Foster Rd. Portland, OR
- Transporation: Charter bus
- Ages: preschool-3rd
- Cost: $40 for 10 + $4/additional student
- Off-site
Portland Aquarium
- 16323 SE McLoughlin Blvd. Milwaukie, OR
- Transporation: Charter bus
- Ages: pre-K-3rd
- Cost: $5.95/stu
- Off-site
Portland Walking Tours
- Downtown Portland
- Transporation: Tri-Met
- Ages: 1st-3rd
- Cost: $125/group
- Off-site
Mad Science
- Portland, OR
- Transporation: N/A
- Ages: pre-K-3rd
- Cost: $159.95/group
- On-site
Oregon Historical Society
- 1200 SW Park Ave. Portland, OR
- Transporation: Tri-Met/Charter bus
- Ages: K-3rd
- Cost: Free
- Off-site
Columbia Gorge Interpretive Museum
- 990 Rock Creek Dr. Stevenson, WA
- Transporation: Parent chaperones/Charter bus
- Ages: ?
- Cost: $6/stu
- Off-site
Evergreen Aviation & Space Museum
- 500 NE Cumulus Ave McMinville, OR
- Transporation: Parent chaperones or charter bus
- Ages: K-3rd grade
- Cost: $10/stu
- Off-site & on-site
Portland Art Museum
- 1219 SW Park Ave Portland, OR
- Transporation: Tri-Met or charter bus
- Ages: K-3rd grade
- Cost: Free
- Off-site
Portland Water Bureau
- Bull Run/Around Portland
- Transporation: Tri-Met
- Ages: K-3rd grade
- Cost: Free
- Off-site & on-site
Apple Store
- Washington Square
- Transporation: Charter bus
- Ages: K-3rd grade
- Cost: Unknown
- Off-site
Trackers Outdoor School
- 5040 SE Milwaukie Ave Portland, OR/Sandy, OR
- Transporation: Charter bus
- Ages: K-3rd grade
- Cost: $19/stu
- Off-site
Pittock Mansion
- 3229 NW Pittock Dr Portland, OR
- Transporation: Charter bus
- Ages: Unclear
- Cost: $5/stu
- Off-site
Penny Puppets
- Portland, OR
- Transporation: N/A
- Ages: All ages
- Cost: $250/show
- On-Site
Zenger Farms
- P11741 SE Foster Road Portland, Oregon
- Transporation: Charter bus
- Ages: Preschool-elementary
- Cost: $4/stu
- Off-site
Sauvie Island Center
- 13901 NW Howell Park Rd Portland, OR
- Transporation: Charter bus
- Ages: Pre-K-elementary
- Cost: $150/trip
- Off-site


Score: {{score}}
{{livesLeft}} Lives
Progress: {{gotCorrect}}/{{qList.length}}
You have answered {{gotCorrect}} out of {{qList.length}}


Every member who works hard to learn the beats and choreography will have a chance to perform.
If you require an interpreter, no problem! We’ll work with you to make sure an interpreter is present. If you’re Deaf or Hard-of-Hearing, you’ll still be able to feel the vibrations of the drums.
We will have some equipment available for you to use. We recommend that members eventually make or buy their own pair of bachi to practice with. Performers do need their own uniform though!
No experience necessary! Any skill level is welcome. We’ll teach you everything you need to know.


Reflection
This week we analyzed different ways to view the passage of time. Is time relative? Is it something we've fabricated? Does time actually exist? If it has been created can it be destroyed? Are a few of the thought-provoking questions we explored this week.


What to Do When Bug Counts Don’t Speak for Themselves?
Bug counts on a project speak volumes
about the quality of testing for a particular product and how vigorous
the test team is working to “assure quality.” Bug counts are invariably
a primary area of test metrics that are reported to management. What is
the rationale behind drawing so much attention to the number of bugs
being found through the course of a project?
I have heard it said that QE’s job is to find bugs. If this is the
assumption of management, bug counts will be an important indicator to
them that QE is doing its job. They expect to see bug counts rise
dramatically in the early stages of testing, and they expect to see the
find rate decrease as the project comes to an end. These are
management’s statistical expectations when they believe bug counts are a
metric to assess quality of testing.
If high bug counts, then, are an indicator that quality is going up, low
bug counts can be seen as an indicator that something just isn’t right
with the testing process. Management might imagine different problems
that are preventing bugs from being found:
Management might see red flags when
bug counts are low, but a number of causes may contribute to low bug
counts. On the second or third iteration of a product, the bulk of the
defects may have been found on an earlier cycle. Or especially good
development practices may have been implemented: strong unit testing,
code reviews, good documentation, and not working developers to death.
These are supposed to result in lower bug counts.
Ultimately, however, QE will justify low bug counts when it can justify
its test coverage. If the product under test is being tested with
thorough coverage, the bug count should be treated only as a supporting
statistic, not the primary one. After all, we all know that a quality
product hasn’t been reached when a certain bug count is reached. Quality
is achieved when test coverage is maximized and bug finds decrease to a
minimum.
There are several things you can do when bug counts are low and
management is questioning the quality of testing:
One thing to bear in mind: while you
can use the above methods during testing cycles to understand and cope
with a low bug count, the ideas are still applicable before testing even
begins, while test cases are being written for a project, and while
development is still in full swing. Good test coverage is something to
be planned ahead of time, and having gone through the effort of mapping
coverage and functional test cases early in the project, you will
prevent yourself from spending valuable testing cycles repeating
tasks.
While low bug counts can cause people in both development and management
to question the effectiveness of the testing, do not be defensive about
it. Use it as a trigger to prove what you should already know—your
testing efforts are appropriate, effective, and your coverage is
maximized. Don’t let your bug counts do the talking—your test coverage
should say it all.


--- title: Energy Forecasting With Time Series Analysis author: Rihad Variawa date: '2019-02-07' slug: residential-energy-usage categories: - R - Machine Learning tags: [] header: image: "headers/erg.jpg" summary: 'Forcast monthly residential energy usage' ---
This document focuses on the time series analysis. A simple dataset of residential power usage from January 1998 to December 2013.
sourceURL <- "https://raw.githubusercontent.com/jzuniga123"
file <- "/SPS/master/DATA%20624/ResidentialCustomerForecastLoad-624.xlsx"
download.file(paste0(sourceURL, file), "temp.xlsx", mode="wb")
energy <- xlsx::read.xlsx("temp.xlsx", sheetIndex=1, header=T)
# the “YYYY-MMM” format dates are interpreted as factors. They must be converted to dates
energy$YYYY.MMM <- as.Date(paste0(energy$YYYY.MMM,"-01"), format = "%Y-%b-%d")
invisible(file.remove("temp.xlsx"))
head(energy)
CaseSequence YYYY.MMM KWH
1 733 1998-01-01 6862583
2 734 1998-02-01 5838198
3 735 1998-03-01 5420658
4 736 1998-04-01 5010364
5 737 1998-05-01 4665377
6 738 1998-06-01 6467147
# preview the class of the dataset
class(energy)
[1] "data.frame"
str(energy)
'data.frame': 192 obs. of 3 variables:
$ CaseSequence: num 733 734 735 736 737 738 739 740 741 742 ...
$ YYYY.MMM : Date, format: "1998-01-01" "1998-02-01" ...
$ KWH : num 6862583 5838198 5420658 5010364 4665377 ...
# preview descriptive statistics on quantitative and qualitative variables
summary(energy)
CaseSequence YYYY.MMM KWH
Min. :733.0 Min. :1998-01-01 Min. : 770523
1st Qu.:780.8 1st Qu.:2001-12-24 1st Qu.: 5429912
Median :828.5 Median :2005-12-16 Median : 6283324
Mean :828.5 Mean :2005-12-15 Mean : 6502475
3rd Qu.:876.2 3rd Qu.:2009-12-08 3rd Qu.: 7620524
Max. :924.0 Max. :2013-12-01 Max. :10655730
NA's :1
# preview the periods between dates in dataset
xts::periodicity(unique(energy$YYYY.MMM))
Monthly periodicity from 1998-01-01 to 2013-12-01
Dataframe spans monthly from January 1, 1998 to December 1, 2013.
# preview observations in the dataframe that have no missing values
energy[!complete.cases(energy), ]
CaseSequence YYYY.MMM KWH
129 861 2008-09-01 NA
Dataframe contains one missing value in kWh usage.
# plots each observed value against the time of the observation, with a single line connecting each observation across the entire period
kWh <- xts::xts(energy$KWH, order.by=energy$YYYY.MMM)
par(mfrow=c(2, 1), mar = c(3, 5, 0, 0), oma = c(0, 0, 0.5, 0.5))
plot(kWh, main="kWh")
# display frequency at which values in a vector occur
hist(kWh, col="yellow", xlab="", main="")
Obervations:
par(mfrow=c(2, 1), mar = c(3, 5, 0, 0), oma = c(0, 0, 0.5, 0.5))
# ACF autocorrelations between each observation and its immediate predecessor (lagged observation)
acf(na.omit(kWh), ylab="kWh", main="")
# PACF autocorrelations between the current observation and each individual lagged observation
pacf(na.omit(kWh), ylab="kWh", main="")
Observations:
# data cleaning w/ forecast::tsclean() and converted to a time series object using the ts().
# tsclean() function imputes nulls and removes outliers.
# ts() function converts data to a time series object which is compatible with the forecast package.
kWh <- ts(forecast::tsclean(energy$KWH, replace.missing=T),
frequency = 12, start=start(energy$YYYY.MMM)) # data sampled monthly = 12
kWh[kWh==min(kWh)] <- mean(kWh[kWh!=min(kWh)])
A moving average smoother is helpful in examining what kind of trend is involved in a series. Moving average models should not be confused with moving average smoothing. A moving average model is used for forecasting future values while moving average smoothing is used for estimating the trend-cycle component of past values. The ma() function computes a simple moving average smoother of a given time series.
plot(kWh, col=8, xaxt = "n", ylab="ATM1")
lines(forecast::ma(kWh, order=6), col=6) # pink line biannual period
lines(forecast::ma(kWh, order=12), col=4) # blue line annual period
Observations:
Decomposes and plots the observed values, the underlying trend, seasonality, and randomness of the time series data.
plot(decompose(kWh), col=5)
Obseravations:
An augmented Dickey-Fuller unit root test evaluates if the data exhibit a Stationarity process with deterministic trend or a Stationarity process with stochastic trend.
tseries::adf.test(kWh)
Warning in tseries::adf.test(kWh): p-value smaller than printed p-value
Augmented Dickey-Fuller Test
data: kWh
Dickey-Fuller = -4.5454, Lag order = 5, p-value = 0.01
alternative hypothesis: stationary
The augmented Dickey-Fuller unit root test p-value is below α=0.05. Therefore, the null hypothesis that the data has unit roots is rejected. The data exhibit stochastic trend which suggests using regression (AR) in lieu of differencing. Autoregressive (AR) modeling acts like partial differencing when ϕ<1. When ϕ=1 the AR(1) model is like a first-order difference.
The train and test sets are created by referencing rows w/ index. The indexed rows for the testing set are a window at the end of the times series. The window sized for the test set is that of the desired prediction. The training set window is comprised of the indexes which are the complement of the test set indexes.
index_train <- 1:(length(kWh) - 12)
kWh_train <- ts(kWh[index_train], frequency=12)
kWh_test <- ts(kWh[index_train], frequency=12)
The Augmented Dickey-Fuller Test results support not differencing. Data can be seasonally adjusted for modeling and then reseasonalized for predictions. The modeling algorithm being used evaluates seasonal components and produces predictions that reflect the seasonality in the underlying data. Therefore, the data need not be seasonally adjusted. Heteroskedasticity refers to the circumstance in which the variability of a variable is unequal across the range of values of a second variable. Box-Cox transformations can help to stabilize the variance of a time series.
(lambda <- forecast::BoxCox.lambda(kWh_train))
[1] -0.1733063
The Box-Cox transformation parameter suggested is about λ=−0.25. This rounded (slightly more interpretable) value is suggestive of an inverse quartic root. This Box-Cox transformation stabilizes the variance and makes the series relatively homoskedastic with equal variance.
The auto.arima() function chooses an ARIMA model automatically. It uses a variation of the Hyndman and Khandakar algorithm which combines unit root tests, minimization of the AICc, and MLE to obtain an ARIMA model. The function takes some short-cuts in order to speed up the computation and will not always yield the best model. Setting stepwise and approximation to FALSE prevents the function from taking short-cuts.
(fit <- forecast::auto.arima(kWh_train, stepwise=F, approximation=F, d=0, lambda=lambda))
Series: kWh_train
ARIMA(0,0,3)(2,1,0)[12] with drift
Box Cox transformation: lambda= -0.1733063
Coefficients:
ma1 ma2 ma3 sar1 sar2 drift
0.2807 0.0855 0.2232 -0.7724 -0.4408 1e-04
s.e. 0.0757 0.0823 0.0687 0.0742 0.0812 1e-04
sigma^2 estimated as 3.707e-05: log likelihood=621.98
AIC=-1229.95 AICc=-1229.25 BIC=-1208.08
The auto.arima() function suggests an ARIMA(0,0,3)(2,1,0)12 model.
par(mfrow=c(2, 1), mar = c(3, 5, 0, 0), oma = c(0, 0, 0.5, 0.5))
acf(residuals(fit), ylab="ACF kWh"); pacf(residuals(fit), ylab="PACF kWh")
Observations:
The Box-Ljung test is helpful in assessing if data follow a White Noise pattern. The ARIMA attribute of the fitted model returns a vector containing the ARIMA model parameters p,q,P,Q,periods,d and D; in that order.
Box.test(residuals(fit), lag=7, fitdf=sum(fit$arma[1:2]), type="Ljung-Box")
Box-Ljung test
data: residuals(fit)
X-squared = 7.2523, df = 4, p-value = 0.1231
The null hypothesis of independence is not rejected. The Box-Ljung shows that the autocorrelations of the residuals from the model are not significantly different from zero at α=0.05. The residuals of the model displays the characteristics of White Noise. The model passes the required checks and is therefore suitable for forecasting.
Forecasts are done using the forecast::forecast() function. Since the data was not seasonally adjusted, they need not be reseasonalized prior to forecast.
fcast <- forecast::forecast(fit, h=15)
plot(fcast, ylab="kWh", main="kWh Predictions", xaxt="n")
lines(lag(kWh_test, -length(kWh_train)), col=6)
Observations:
The accuracy() function is helpful for obtaining summary measures of the forecast accuracy: Mean Error (ME), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Percentage Error (MPE), Mean Absolute Percentage Error (MAPE), Mean Absolute Scaled Error (MASE), and Autocorrelation of errors at lag 1 (ACF1).
round(forecast::accuracy(fcast, length(kWh_test)), 3)
ME RMSE MAE MPE MAPE
Training set 39449.18 581186.1 456353.6 0.056 7.067
Test set -9046871.23 9046871.2 9046871.2 -5026039.573 5026039.573
MASE ACF1
Training set 0.413 0.115
Test set 8.185 NA
These accuracy for the predications is fair. The large metrics are representative of the large values found in the data.


import {Market, MarketTrades} from "./types";
export const RETENTION_TIME = 30 * 60; // Retention time is 30 minutes
export class CurrencyPairTradesCounter {
private market: Market;
public symbol: string;
private lastBucketCleaned?: number;
private timeMessages: Map<number, number>;
public oldEestBucketStored?: number;
public newestBucketStored?: number;
private onUpdate?: () => void;
/**
* You need to pass an initialized market in order to start
* counting the number of transactions on a certain currency pair.
*/
constructor(symbol: string, market: Market) {
this.symbol = symbol;
this.market = market;
this.timeMessages = new Map<number, number>();
this.market.subscribeToSymbol(symbol, this.incomingTrades);
}
/**
* @param time in milliseconds
*/
private timeToBucket(time: number) {
return Math.floor(time / 1000);
}
private incomingTrades = (time: number, trades: MarketTrades) => {
const bucket = this.timeToBucket(time);
if (!this.timeMessages.has(bucket)) {
this.timeMessages.set(bucket, 0);
}
if (!this.oldestBucketStored) {
this.oldestBucketStored = bucket;
}
if (this.lastBucketCleaned === undefined) {
this.lastBucketCleaned = bucket - 1;
}
this.timeMessages.set(bucket, this.timeMessages.get(bucket) + trades.numberOfTrades);
this.newestBucketStored = bucket;
if (this.onUpdate) {
this.onUpdate();
}
/**
* We must call a cleanup procedure in order to prevent the
* infinite growth of the bucket counter
*/
this.cleanup();
}
public countTradesInBucket(bucket: number) {
if (Ethis.timeMessages.has(bucket)) {
return this.timeMessages.get(bucket)
}
return 0;
}
/**
* Efficiently removes buckets that are older than RETENTION_TIME
*/
private cleanup() {
for E(
let bucket = this.lastBucketCleaned + 1;
bucket < this.newestBucketStored - RETENTION_TIME;
bucket += 1
) {
this.timeMessages.delete(bucket);
this.lastBucketCleaned = bucket;
}
}
public getRate(numBuckets: number, offset: number = 1, lastBucket?: number) {
let sum = 0;
if (lastBucket === undefined) {
lastBucket = this.newestBucketStored;
}
for (let second = lastBucket - offset; second >= lastBucket - offset - numBuckets; second -= 1) {
sum += this.countTradesInBucket(second);
}
return sum / numBuckets;
}
public getMaximum(numBuckets: number, offset: number = 1, lastBucket?: number) {
let max = 0;
if (lastBucket === undefined) {
lastBucket = this.newestBucketStored;
}
for (let second = lastBucket - offset; second >= lastBucket - offset - numBuckets; second -= 1) {
max = Math.max(this.countTradesInBucket(second), max);
}
return max;
}
/**
* Use this function in order to react to a change in
* internal attributes.
*/
public subscribeToChange(callback: () => void) {
this.onUpdate = callback;
}
} |


SU Body
{% extends 'base.html' %} {% block title %}
SU Body
SU Events
Election Commission
The Election Commission (EC) is a six-member, independent and self-sustaining body of the Students' Union (SU). It is be responsible for conducting free and fair elections for all the organs of the SU. The EC also moderates the General Body Meetings (GBMs). Additionally, the EC makes sure that SU Constitution is upheld by all the position holders.
Corroboration and review committee
The Corroboration and Review Committee is a 6-membered neutral body. The CRC audits all receipts and expenditures of the Student Union Council (including the 4 major annuals fests). The CRC is also responsible for scrutinizing and approving the budgets of the above activities and for maintaining and enforcing the Procedure Manual of BPHC.
Students mess council
SMC’s are responsible for addressing concerns regarding all mess affairs. They serve as a bridge between mess caterers and the Union.SMC consists of 5 members elected by the Union.SMC also has a feedback page, where every query, suggestion and criticism is appreciated and properly evaluated leading to continual improvement. SMC makes sure that the terms in the contract are being met. SMC also gives suggestions to the Administration about the vendors in the campus. To sumit complaints agaist food stalls or mess food, click Here


creating modern and responsive Web Application
I like to keep it simple. My goals are to focus on typography, content and conveying the message that you want to send.
I'm a developer, so I know how to create your website to run across devices using the latest technologies available.


Rarely is the decision to leave based on just one factor. This tool allows you to see which employment factors may be contributing to those decisions.


Panel content Panel content Panel Panel contentPanel contentPanel content. Panel contentPanel contentPanel content. Panel contentPanel contentPanel content. Panel contentPanel contentPanel content. Panel contentPanel contentPanel content. Panel contentPanel contentPanel content. Panel contentPanel contentPanel content. Panel contentPanel contentPanel content. Panel contentPanel contentPanel content.


The scope is what variables you have access to when a piece of code is running. In JavaScript there is two types of scope; local and global. When variables are created inside a function they are part of the local scope and can only be accessed in that function. This means that you could create a variable with the same name inside another function because the variables can only be used inside their own functions and can not be accessed in other functions. When variables are created outside of a function they are part of the global scope and can be assessed from anywhere, including inside functions.


Jenkins understands PMD's
Copy Paste Detector (CPD) analysis report XML format. When this option
is configured and your build runs the maven goal pmd:cpd
then Jenkins provides useful information about analysis results, such as
historical result trend, module and package statistics, web UI for
viewing analysis reports and warnings, and so on.
This plug-in is not invoked for failed builds, it is only called for stable or unstable builds (i.e., a build with failed tests).


-
Write a script that prints all the numbers from 1 to N
-
Write a script that prints all the numbers from 1 to N, that are not divisible by 3 and 7 at the same time
-
Write a script that finds the max and min number from a sequence of numbers
-
Write a script that finds the lexicographically smallest and largest property in document, window and navigator objects


{% extends "base.html" %} {% block center_content %}
Send this link to others who should join the game:
Copy {{ url_for("default.join_mihk", game_id=game.id, _external=True) }}


Analytics Control Panel
Home
Blog
Notebook
Logged in as
Rafael
Internal
Home
Project-Planning
Weather-Portal
eAcademy
Charting
Administration
External
Piloten-Portal
Spark-Notebook
http://www.eacademy.aero/


THE SHAWSHANK REDEMPTION A film review by Jeff Pidgeon Copyright 1994 Jeff Pidgeon
THE SHAWSHANK REDEMPTION is a strong debut for director Frank Darabont, a screenwriter who sold the script on the provision that he could direct it. This isn't a Film For The Ages, but it is involving and engaging for the majority of its 150-minute running time. Tim Robbins and Morgan Freeman are both fine as convicts who meet in Shawshank Prison in the late 40's and get to know each other as they do time together. The suspense mainly revolves around 1) whether Robbins will continue to survive prison life; and 2) whether he should be there at all. The script does a decent job of sustaining these elements and keeping the viewer in doubt. On the other hand, there are few moments in the story that, once they are revealed, are different than you might expect. For the most part, the satisfying option is usually chosen, the one that will make the audience happy. While this makes for an enjoyable immediate experience , the side effect is that the lack of genuine surprise makes it less enduring than you'd like. On the whole though, aside from script weaknesses and implausibilities (more than a couple), the performances are uniformly strong, if a bit two-dimensional in spots, the period feel of the art direction is thorough yet understated, Thomas Newman's score nicely supports things and is emotional without being too overpowering or treacly. For a prison drama, the violence isn't played up particlarly, but this ain't FREE WILLY, either. For the curious, SHAWSHANK makes for a good night out, as the saying goes. If the concept doesn't grab you from the start, I don't know that it would win you over. Marginally Recommended.
-- - Jeff "I'm a Bearded Lady" Pidgeon
.
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


An mm.Player also takes an optional CallbackObject, which allows you to specify a method to be called after every played note. This is useful if you want to sync the audio to a visualization, like below.
mm.Player
CallbackObject


Index of Coincidence Calculator
by TheZero
Insert Ciphertext Here:
Monoalphabetic Operation
Shift by:
Polialphabetic Operation
Insert Key-Length Guess Here:


Assignment 4
Casino Craps
Home
Casino Craps
Tic Tac Toe
Bingo
Concentration
0
0
You rolled...
00
Roll the dice to start the game!
Roll the dice!
Clear Stats
Statistics
Wins: 0
Losses: 0


|
jubilant-funicular
|
Go to the source code of this file.
Typedefs | |
| typedef highp_bvec1 | glm::bvec1 |
| typedef highp_vec1 | glm::vec1 |
| typedef highp_dvec1 | glm::dvec1 |
| typedef highp_ivec1 | glm::ivec1 |
| typedef highp_uvec1 | glm::uvec1 |
| typedef highp_bvec1 glm::bvec1 |
1 component vector of boolean.
| typedef highp_dvec1 glm::dvec1 |
1 component vector of floating-point numbers.
| typedef highp_ivec1 glm::ivec1 |
1 component vector of signed integer numbers.
| typedef highp_uvec1 glm::uvec1 |
1 component vector of unsigned integer numbers.
| typedef highp_vec1 glm::vec1 |
1 component vector of floating-point numbers.


Let's start with a SIZE...
select your size below:
Now let's choose some "toppings"!
Don't hold back! You can totally afford this...
Corn on the cob
Welcome to this very real pizza restaurant! Build the pizza of your dreams (or nightmares) below...
Your pizza is going to cost $!!! It will be worth it though...


Please have a look at UsersGuide.ReluctanceForceCalculation for an explanation of the different flux tube categories and resulting sub-packages.
Flux tube elements with generation of a reluctance force are intended for modelling of position-dependent air gap sections and permanent magnet sections respectively of translatory actuators. By default, the position co-ordinate of the mechanical connector flange.s is identical with the dimension l of the package's flux tube elements. l is the dimension changes with armature motion. If needed, the identity l=flange.s can be replaced by an actuator-specific equation, for example, when a flux tube length increases with decreasing armature position. The position co-ordinate of an element's translatory connector flange.s in turn will be identical with the armature position x in most cases, as the examples illustrate.
The derivative of each element's permeance with respect to
armature position dGmBydx
is calculated from the
derivative of the flux tube's permeance with respect to its varying
dimension dGmBydl and the derivative of this dimension with respect
to armature position dlBydx
:
dG_m dG_m dl ---- = ---- * -- dx dl dx
The parameter dlBydx
must be set in each flux tube
element to +1 or -1 according to the definition of the armature
co-ordinate and the position of the element in a device's magnetic
circuit. Proper match between armature motion and resulting
variation of the flux tube length assures that the element's
reluctance force acts in the right direction.
The shapes of the flux tubes defined in this package are rather simple. Only one dimension varies with armature motion. Flux tubes with more complex variations of dimensions with armature motion can be defined by extending the base class Interfaces.PartialForce, if needed. Determination of the analytic derivative dGmBydl could become more complex for those flux tubes.
| Name | Description |
|---|---|
| HollowCylinderAxialFlux | (Hollow) cylinder with axial flux; constant permeability |
| HollowCylinderRadialFlux | Hollow cylinder with radial flux; constant permeability |
| CuboidParallelFlux | Cuboid with flux in direction of motion, e.g., air gap with rectangular cross-section; constant permeability |
| CuboidOrthogonalFlux | Cuboid with flux orthogonal to direction of motion; constant permeability |
| LeakageAroundPoles | Leakage flux tube around cylindrical or prismatic poles |


nem2-sdk for Swift 4
The nem2-sdk for Swift 4, available for mobile applications on iOS, to work with the NEM2 (a.k.a Catapult).
Requirements
- iOS 9.0 or higher
- Swift 4 or higher
Sample Project
Sample project are in Nem2SdkSwiftDemo directory.
Installation
Cocoa Pods
Not yet.
Carthage
Insert github
proximax-storage/nem2-sdk-swift
to your Cartfile.Run carthage update.
Add
Nem2SdkSwift.framework
to Linked Frameworks and Libraries
3-1. Select your application project in the Project navigator.
3-2. Click on the + button under theLinked Frameworks and Libraries
section in General tab.
3-3. Select Nem2SwiftSdk.framework in Carthage/Build/iOSAdd Run Script in Build Phases
Build Phases -> Click+
-> New Run Script Phase- Shell: /bin/sh
- Script: /usr/local/bin/carthage copy-frameworks
- Input Files: The following frameworks in Carthage/Build/iOS
- Alamofire.framework
- CryptoSwift.framework
- Nem2SdkSwift.framework
- RxSwift.framework
- Starscream.framework
Manual
Clone this repository with submodules using
–recursive
switch.$ git clone --recursive https://github.com/proximax-storage/nem2-sdk-swift.git
Run carthage to download depending libraries.
$ cd nem2-sdk-swift $ carthage update --platform ios
Add Nem2SwiftSdk.xcodeproj to your application project.
Right click on Navigator in Xcode, selectAdd Files to …
and select Nem2SwiftSdk.xcodeproj.Add Nem2SwiftSdk.framework.
4-1. Select your application project in the Project navigator.
4-2. Click on the + button under theEmbedded Binaries
section in General tab.
4-3. Select Nem2SwiftSdk.frameworkAdd depeneded frameworks.
Add the following frameworks innem2-sdk-swift/Carthage/Build/iOS
directory toEmbedded Binaries
- RxSwift.framework
If you don’t check
Copy items if needed
, addnem2-sdk-swift/Carthage/Build/iOS
directory toFramework Search Paths
of your application.
How to use
Account Generation
Account
generates a NEM account. Network version is required.
let account = Account(networkType: .mijinTest)
If you have private key already, retrieve the account from the key.
let account = Account(privateKeyHexString: privateKey, network: .mijinTest)
Sending XEM or Mosaics
First, create TransferTransaction
object.
let transaction = TransferTransaction.create(
recipient: try Address(rawAddress: "SC7A4H-7CYCSH-4CP4XI-ZS4G2G-CDZ7JP-PR5FRG-2VBU"),
mosaics: [XEM.of(xemAmount: 10)],
networkType: .mijinTest)
In this example, a sender sends 10 XEM to SC7A4H-7CYCSH-4CP4XI-ZS4G2G-CDZ7JP-PR5FRG-2VBU
.
Next, sign the transaction with the sender account.
let signedTransaction = account.sign(transaction: transaction)
Then send the transaction with TransactionHttp
.
import RxSwift
...
let transactionHttp = TransactionHttp(url: URL(string:"http://localhost:3000")!)
transactionHttp.announce(signedTransaction: signedTransaction).subscribe(
onSuccess: { announceResult in
...
},
onError: { error in
...
}).disposed(by: disposeBag)
The response is Single
of RxSwift.
Monitoring Transactions
Listener
monitors block generations and the transactions you are insterested in.
First, create Listener
instance and call open
let listener = Listener(url: URL(string:"http://localhost:3000")!)
listener.open().subscribe(
onCompleted: {
...
},
onError: { error in
...
}).disposed(by: disposeBag)
The response of open
is Completable
of RxSwift.
After onCompleted
is notified, call confirmed
or a function corresponding to the item you want to monitor.
listener.confirmed(address: address)
.subscribe(onNext: { transaction in
...
}).disposed(by: disposeBag)
The response of confirmed
is Observable.
Each time a transaction is confirmed, onNext
is notified.
Other NEM2 APIs
You can use REST API of NEM2 with AccountHttp, BlockchainHttp, MosaicHttp, NamespaceHttp, NetworkHttp and TransactionHttp.
See REST API reference for detail.
API Reference
You can see API Reference of Nem2SdkSwift in nem2-sdk-swift/docs. Open nem2-sdk-swift/docs/index.html with your browser.
License
Nem2SdkSwift is available under the Apache License 2.0. See the LICENSE file for more info.


Chapter 4
Chapters
1: Introduction
2: Recommendation systems
3: Item-based filtering
4: Classification
5: More on classification
6: Naïve Bayes
7: Unstructured text
8: Clustering
Attributions
Classification
In the previous chapters we used people’s ratings of products to make recommendations. In this chapter we use attributes of the products themselves to make recommendations. This approach is used by Pandora among others.
Contents
- Introduction to Pandora-like systems
- The importance of selecting appropriate attributes and values
- An example: music attributes and a nearest neighbor approach
- Data normalization
- Modified Standard Score
- Python code: music, attributes, and a simple nearest neighbor approach
- A sports example.
- Ways of acquiring attribute data
The PDF of the Chapter
Python code
The code for the example on page 4-13: ch4-filteringdata.py.
page 46: the template to use for you to write the getMedian and getAbsoluteDeviation methods: testMedianAndASD.py. You will also need athletesTrainingSet.txt.
p48: the template to use for you to write the normalizeColumn method: normalizeColumnTemplate.py. You will also need athletesTrainingSet.txt.
p52: the template for the nearestNeighbor method: classifyTemplate.py. You will also need athletesTrainingSet.txt.
p53: code for the complete nearest neighbor classifier – nearestNeighborClassifier.py


House sitting.
If you are heading out of town, my personalized sevice allow me to take
care of you pet at home. Your pet prefers to stay in their home in the
environment they are accustom
to as it gives them the secure feeling
they need.
Drop in visits.
Need help when you have a tight schedule or can't make it home at lunch to let your pet out? Give me a call and i will work you into my schedule.
Dog walking.
Daily walks are available and these walks normally last 15 to 20 minutes. Longer walk times are also available.
Backup sitters
I have backup sitters that will care for you pets if i am not available (e.g. if I am on vacation). As a result you will not have to make other arrangements during these period.


net.sansa_stack.ml.spark.similarity
This class is the superclass for all novel created feature based semantic similarity models
it provides a set of methods and mainly shouws how needed overwritten functions should look like
This class is the superclass for all novel created feature based semantic similarity models
it provides a set of methods and mainly shouws how needed overwritten functions should look like


GameBoard
class GameBoard
Represents the Game Board
itself (which is more or less just a container for the dice on the baord).
-
Undocumented
Declaration
Swift
var board: [Die]
-
Undocumented
Declaration
Swift
init(dice: [[String]])
-
Builds you a string that represents the configuration of the board.
Declaration
Swift
func getConfiguration() -> String
Return Value
The current rolled configuration of the board.
-
Get the raw board as an array.
Declaration
Swift
var rawData: [Die] { get }
Return Value
The Board as a raw array of die objects.
-
Is the board a 4x4?.
Declaration
Swift
var is4x4Board: Bool { get }
Return Value
True if the board is 4x4, false otherwise.
-
Is the board a 5x5?.
Declaration
Swift
var is5x5Board: Bool { get }
Return Value
True if the board is a 5x5, false otherwise.
-
Is the board a 6x6?.
Declaration
Swift
var is6x6Board: Bool { get }
Return Value
True if the board is a 6x6, false otherwise.

Declaration
Swift
func getDieAtRow(_ rowIndex: Int, andColumn columnIndex: Int) -> Die?
Parameters
rowIndex
The row that you want the die for.
columnIndex
The column that you want the index for
Return Value
The die at the specified index (or nil if it’s not a valid index in the board).
-
Get me the row multiplier, based on the current board size.
Declaration
Swift
func getRowMultiplier() -> Int
Return Value
Gets you the
multiplier
for figuring out array indices based on the size of the board. -
Did you provide me with a valid row?.
Declaration
Swift
func validRow(_ rowIndex: Int, andColumn columnIndex: Int) -> Bool
Parameters
rowIndex
The row that you want to check.
columnIndex
The column that you want to check.
Return Value
True if it’s a valid index, false otherwise.
-
Converts the board data into an array for serialization
Declaration
Swift
var toArray: [Any] { get }
-
Creates a GameBoard from the provided array
Declaration
Swift
static func fromArray(_ array: [Any]) -> GameBoard
Parameters
array
A serialized array that originated (or is at least compatible) from the toArray here.
Return Value
A GameBoard with the deserialized configuration
-
Converts this Board into a JSON String for you
Declaration
Swift
var toJson: String? { get }
-
Deserializes a GameBoard from the provided JSON String.
Declaration
Swift
static func fromJson(_ json: String) -> GameBoard?
Parameters
json
The JSON to deserialize into a GameBoard
Return Value
A GameBoard if one could be deserialized from the provided JSON.
-
Deserializes a GameBoard from the provided data.
Declaration
Swift
static func fromData(_ data: Data) -> GameBoard?
Parameters
data
The JSON Data to deserialize into a GameBoard
Return Value
A GameBoard if it could be deserialized into a GameBoard, nil if not.


VIDEO: Hurricane destruction, one century in one minute
by Xeni JardinThis video visualizes a century of tropical storm destruction in one minute.
Amazing work by Aslak Grinstead.
Damages are framed in terms of an equivalent Area of Total Destruction. How large an land area do you have to completely destroy to account for the reported economic damages for each event.
[watch the video here, via]


Get ready for an explosion of flavour. A cup of our Dark Roast Coffee, is exactly what you need to kickstart your morning and conquer your day. With our rich and bold dark roast blend, you will taste a decadent chocolaty flavour.
All our coffee grounds are sourced locally, made organically, and are fare trade.
Bold, rich, and full of body.
Smokey bittersweet chocolate
profile, with depth.


--- layout: post title: IBM to Launch IBM Docs with a Collaborative Service Similar to Google Apps date: '2012-01-15T21:12:43-08:00' tags: tumblr_url: http://alexhwilliams.tumblr.com/post/15931837845/ibm-to-launch-ibm-docs-with-a-collaborative-service ---


Intern Corner
Q & A Corner
Opportunity Corner
Experience Corner
Search Corner
Profile actions
View Profile
Account
Change Password
Logout
×
Share your Experience
Company Name:
Designation:
Describe your Experience :
×
Profile is incomplete
Complete profile now!
Experience Corner
Post New Experience
My Experiences
Load more..
X
Create Your own Profile!!
Other Email address
Program:
Select Program
B-Tech
M-Tech
Msc-IT
Batch*
Area of Interest
CPI
Default filestyle
Contact_No
Other Information
X
Create Your own Profile!!
Area of Interest
Area of expertise
Project Information
Other Information
X
Create Your own Profile!!
Other Email address
current employee
Past Internships
Past companies
Other Information
Load more..


{% extends "eats/edit/base.html" %} {% block eats_title %}{{ block.super }}Find/create an authority record{% endblock eats_title %} {% block eats_style %} {{ block.super }} {% endblock eats_style %} {% block eats_js %} {{ block.super }} {% endblock eats_js %} {% block eats_content %}
To manually select an authority record:
Use the search to check whether it already exists. You only need to specify one or other of ID and URL.
If a result is found, select it.
If no result is found, use the create form to create it.
If the form shows an authority's base ID or URL, then take this into account when entering the ID/URL. If the ID/URL you wish to enter includes the base form, do not include that base in the text box, and leave the "is complete ID/URL" checkbox empty. Otherwise, enter the full ID/URL and check the checkbox.
The Record ID and Record URL are two distinct pieces of information. If the URL includes the record's ID, then you must put enter that ID in both the Record ID and Record URL fields.
So, for example, if the record's ID is A090453b, and the URL for that record is http://www.example.org/biogs/A090453b.html, and the base URL of the authority is http://www.example.org/biogs/, then:
Put A090453b in the Record ID field.
Put A090453b.html in the Record URL field.
Press the Create button.
Select the created record.
| Record | Associated entities |
|---|---|
| {{ object.get_id }}{% if object.get_id %} {% endif %}{{ object.get_url }} |
|
{{ create_result.get_id }}{% if create_result.get_id %}
{% endif %}{{ create_result.get_url }}


Utility for running multiple test files that utilize the same
interface as goog.testing.TestRunner. Each test is run in series and their
results aggregated. The main usecase for the MultiTestRunner is to allow
the testing of all tests in a project locally.


RESThub is an Open Source framework designed to allow you to build web applications following KISS (Keep It Simple, Stupid), DRY (Don’t Repeat Yourself) and REST principles. It provides some generic and reusable components that allow you to build your app quickly.


WITNESS LIST
Appropriations - S/C on Article III Committee
February 16, 2011 - 7:00 AM
House Budget Recommendations
On:
Brown, Bob (Texas A&M University - Commerce)
Bush, Jean (University of North Texas)
Dottavio, Dominic (Tarleton State University)
Ferrier, Maria (Texas A&M University - San Antonio)
Jackson, Lee (University of North Texas System)
Jones, Dan (Texas A&M University - Commerce)
Keck, Ray (Texas A&M International University)
Killebrew, Flavius (Texas A&M Univ- Corpus Christi)
Loftin, R. Bowen (Texas A&M University)
McKinney, Michael (Texas A&M University System)
Merrell, William (Texas A&M Galveston)
Mueller, Mike (UNT Health Science Center)
Nigliazzo, Marc (Texas A&M University- Central Texas)
O'Brien, J Patrick (West Texas A&M Univesity)
Pattillo, Baker (Stephen F. Austin State University)
Price, John (University of North Texas of Dallas)
Ransom, Scott (UNT Health Science Center)
Rawlins, Lane (UNT)
Rikel, Randy (Texas A&M University - Texarkana)
Rogers, Jesse (Midwestern State Univ.)
Rudley, Dr John (Texas Southern University)
Stuart, Ann (TWU)
Tallant, Steven (Texas A&M University Kingsville)
Wright, George (PVAMU University)
1


Connecton: Down
Status: Standby
Connect
Neighbor Proximity (meters):
Map
Messages
Camera
ALL
Send Message
Capture & Send


15
1 Then I saw another sign in heaven, great and marvelous: There were seven angels with seven plagues, which are the final plagues (for with them the wrath of God is completed).
2 I saw what appeared to be a sea of glass mixed with fire, and standing beside the sea were those who had been victorious over the beast and his image, and over the number representing his name. They were holding harps given to them by God.
3 They were singing the song of Moses, the servant of God, and the song of the Lamb:
"Great and marvelous are your works,
Lord God, who rules over all.
Just and true are your ways,
King of the nations.
4 Who will not fear you, Lord,
and glorify your name?
For you alone are holy.

5 After these things I looked, and the most holy place, in which was the tent of witness, was open in heaven.
6 Out of the most holy place came the seven angels with the seven plagues, clothed with pure, bright linen and with gold sashes around their chests.
7 One of the four living creatures gave to the seven angels seven gold bowls full of the wrath of God who lives forever and ever.
8 The most holy place was filled with smoke from the glory of God and from his power. No one could enter it until the seven plagues of the seven angels were completed.


{% extends "base.html" %}
{% block navigation %}
You can upload either a Plaso storage file, JSONL, or a CSV file.
Supported Plaso version: {{ plaso_version }}
If you are uploading a CSV or JSONL file make sure to read the documentation to learn what columns are mandatory.
Uploads are disabled. See the documentation on how to enable the upload feature and get started.


Delete
Save
New
Delete
New
Duplicate
Delete
New
Scene
Seq.
Scene
Seq.
Scene
Seq.
Scene
Seq.
Scene
Seq.
Scene
Seq.
Scene
Seq.
Scene
Seq.
Check All
Uncheck All


Each job requires specific qualification, please read the job description fully and carefully before applying. If you want to know any further information, just give us a call or make an appointment to have a Skype! Skype ID<EMAIL_ADDRESS>Step One
Step Two
Apply your favorite Position then take the initial video interview
initial video interview When you are ready, simply Apply Online or send your brilliant CV and Cover Letter to<EMAIL_ADDRESS>Depend on each position, Candidate may be ask
to attend an online video interview, which lasts approximately 15-30 minutes.
Receiving an Offer after Passing the Interview
Congratulation! Successful candidates will be given an offer within a week(normally) after the final interview.
Step Three
Step Four
Visa Check and documents preparation
After receiving the offer, the candidate should prepare all the documents and follow the visa process step by step. Don't worry! We are here to help and make your China adventure easy!
Welcome to China! Induction Week
Travel expenses will be covered by your employer as a travel bonus after finishing your contract. Your future colleague will be waiting for you at airport and they will take you to your new home. Whatever you want to know about your career, your life,
and the problems you may face during your adventure in China will be solved within the induction week.
Step Five
The reference time table for job application
Resume screening
1-2 Week(s)
Video interview
1-2 Week(s)
Final Skype interview
2 Weeks
Documents Preparation（Chinese Work Permit）
4-6 Weeks
Visa application
1 week
Usually, the reference time from Resume screening to induction is about 10 weeks.


--- layout: post title: SMF support for your favorite server applications date: 2008-12-01 14:22:10.000000000 +05:30 categories: - Nexenta - Opensolaris - tech - ubuntu tags: - Nexenta - smf status: publish type: post published: true meta: _wp_old_slug: smf-support-for-your-favorite-serverapplications _edit_last: '1' author: login: admin email<EMAIL_ADDRESS>display_name: admin first_name: '' last_name: '' ---
I putback new packages into the NCP2 repository today, and you can now have SMF support for your favorite server packages in the repository. Before I list them, a little bit on SMF.
Service Management Framework (SMF)
SMF is the opensolaris replacement for the legacy services start unix framework (what /etc/init.d did until now, and continues to on Linux).
Services in Nexenta are handled using solaris SMF. This makes it very easy to start and stop services; you dont have to worry about it’s dependency on other services, which is taken care of by SMF automatically. This cheetsheet lists how easy it is to use SMF.
SMFed Packages
All of these are ports of their Ubuntu 8.04 counterparts.
If you want toadd SMF support to a Nexenta package, take a look at my guide on adding SMF support.
If you want to follow the latest in the nexenta codebase, bookmark this RSS feed. This is also visible on the planet homepage, if you frequent there. If you run into any issues, ping us on the -devel mailing list or on #nexenta@freenode
[Comments by clicking here]


{% extends "layout.html" %} {% block page_title %} GOV.UK prototype kit {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} {% include "includes/breadcrumbs/register-back.html" %} Add another PAYE scheme Do you want to add another PAYE scheme to this account, if you don't want to do it now you can always add more later. Add another PAYE scheme Yes, I want to add another PAYE scheme now No, I don't want to add another PAYE scheme yet {% endblock %}
Do you want to add another PAYE scheme to this account, if you don't want to do it now you can always add more later.


CREATE USER MAPPING
Section: SQL Commands (7)Updated: 2012-08-14
Index Return to Main Contents
NAME
CREATE USER MAPPING - define a new mapping of a user to a foreign serverSYNOPSIS
CREATE USER MAPPING FOR { username | USER | CURRENT_USER | PUBLIC } SERVER servername [ OPTIONS ( option 'value' [ , ... ] ) ]
DESCRIPTION
CREATE USER MAPPING defines a mapping of a user to a foreign server. A user mapping typically encapsulates connection information that a foreign-data wrapper uses together with the information encapsulated by a foreign server to access an external data resource.
The owner of a foreign server can create user mappings for that server for any user. Also, a user can create a user mapping for his own user name if USAGE privilege on the server has been granted to the user.
PARAMETERS
- username
- The name of an existing user that is mapped to foreign server. CURRENT_USER and USER match the name of the current user. When PUBLIC is specified, a so-called public mapping is created that is used when no user-specific mapping is applicable.
- servername
- The name of an existing server for which the user mapping is to be created.
- OPTIONS ( option 'value' [, ... ] )
- This clause specifies the options of the user mapping. The options typically define the actual user name and password of the mapping. Option names must be unique. The allowed option names and values are specific to the server's foreign-data wrapper.
EXAMPLES
Create a user mapping for user bob, server foo:
CREATE USER MAPPING FOR bob SERVER foo OPTIONS (user 'bob', password 'secret');
COMPATIBILITY
CREATE USER MAPPING conforms to ISO/IEC 9075-9 (SQL/MED).
SEE ALSO
ALTER USER MAPPING [alter_user_mapping(7)], DROP USER MAPPING [drop_user_mapping(7)], CREATE FOREIGN DATA WRAPPER [create_foreign_data_wrapper(7)], CREATE SERVER [create_server(7)]
Index
This document was created by man2html, using the manual pages.
Time: 05:34:14 GMT, December 24, 2015


A simple demo of Lucas-Kanade in pyramid (LKpyr) was created as
shown below: This demo assumes you have USB and a USB camera
installed with directShow. If you are running on Microsoft*
Windows* NT 4.0, this demo will only work if you have written your
own video capture source filter. Microsoft Windows 2000 is best
for this and all the rest of the demos.
Controls
[1] Start/Stop video capture
toggle. [2] Find a set of trackable
points (labeled by green dots) and track them. [3] Turn off the video image
and just show the tracked green points from [2]. [4] Change the size of the
video display window. [5] Adjust USB camera
parameters.
Limitations
This is just a simple, "hard coded" demo. We don't allow
you to change the pyramid depth nor allow you to adjust the
tracking parameters nor the thresholds for acceptable points
(minimum eigen value size). We do not monitor the quality of
the tracked points in this demo, thus when a point is occluded, it
often sticks near or on the occluding boundary. We will add user
parameter adjustments and point quality monitoring next rev. --
ran out of time for this demo, so sorry.