| Methods' Details |
getTitle
- Returns
- the shape of the main title of the chart document.
- See also
- ChartTitle
|
|
getSubTitle
- Returns
- the shape of the subtitle of the chart document.
Usually the subtitle is smaller than the main title by
default. And it is most commonly placed below the main title
by default.
- See also
- ChartTitle
|
|
getLegend
- Returns
- the shape of the legend of the chart document.
- See also
- ChartLegend
|
|
getArea
- Returns
- the properties of the background area of the chart document.
The area's extent is equal to the document size. If you
want to access properties of the background area of the
diagram, in which the actual data is represented, you have to
change the chart wall which you get from the
X3DDisplay.
- See also
- ChartArea, X3DDisplay
|
|
getDiagram
- Returns
- the diagram of the chart document.
- See also
- Diagram
|
|
setDiagram
| void |
| setDiagram( |
[in] XDiagram |
xDiagram ); |
- Description
- sets the diagram for the chart document.
Setting a new diagram implicitly disposes the previous
diagram.
- Parameter xDiagram
- the new diagram that should be set for the chart. To
create such a diagram component, you can use the
::com::sun::star::lang::XMultiServiceFactory,
which should be implemented by an
XChartDocument.
|
|
| getData
|
attachData
- Description
- attaches data to the chart.
The given object needs to support interface XChartDataArray.
Since OOo 3.3 if the given object might support interface XComplexDescriptionAccess
which allows to set complex hierarchical axis descriptions.
Since OOo 3.4 if the given object might support interface XDateCategories
which allows to set date values as x values for category charts.
The given data is copied before it is applied to the chart.
So changing xData after this call will have no effect on the chart.
- Parameter xData
- the object that provides the new data.
- See also
- XChartData, XChartDataArray, XComplexDescriptionAccess, XDateCategories
|
|
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


The Travis Blog
Announcing Python and Perl support on Travis CI
Just shy of a week ago we announced support for Java, Scala, and Groovy. Well, we thought to ourselves ‘we already support 8 languages, why not more?’, and MOAR you shall have! Today we are happy to announce first class support for Python and Perl projects! Adding support for Perl and Python was a no brainer for us, not that it was easy, because it wasn’t, but that both languages were sought after by their respe...
Announcing Java, Scala and Groovy project support on travis-ci.org
Travis CI started in early 2011 as a service for the Ruby community with the simple vision to make CI easy for OSS libraries and services. It wasn’t long until we added support for Erlang, Clojure, Node.js and PHP. And, in fact, it is easy to build many other projects by supplying your own commands. Today we are excited to announce support for Java, Scala, and Groovy! The JVM ecosystem is very vibrant with multi...
Announcing "first class" PHP project support!
Today we are happy to announce first class PHP support with Travis CI. It includes all the same features Ruby, Erlang and Node.js projects enjoy today, including: Easy to get started and integrates with GitHub. Test against multiple databases and services, including Mysql, Postgres, Redis, RabbitMQ and many more. Test your projects against multiple PHP versions. Build results are publicly available onli...
VM environment upgrade, Nov 11th, 2011
travis-ci.org Ruby workers were upgraded, here is what’s new: Ruby Workers Changes Updated Rubinius 2.0 from 2.0.testing branch RabbitMQ 2.7.0 Rubinius team was busy making GC and full CPU concurrency improvements as well as upgrading Ruby standard library for their 1.9 mode. Give it a try by testing your Ruby projects against Rubinius! Node.js Workers Changes Node.js workers were upgraded, too: Rab...
Announcing "first class" Node.js project support!
One of the things people keep asking us is when language X will be a first class citizen on Travis-CI. While it has been possible to build Node.js and C++ projects on Ruby workers for a while, it is not very convenient or intuitive, and such projects will not get the killer feature of travis-ci.org: testing against multiple versions/implementations. So we have good news for the Node.js community: Node.js is gainin...
VM environment upgrade, Oct 31st, 2011
travis-ci.org Ruby workers were upgraded to provide the following: Ruby 1.9.3-p0 (final release) JRuby 1.6.5 Updated Rubinius 2.0 from 2.0.testing branch Node.js 0.4.12, npm 1.0.18 MongoDB 2.0.1 Riak 1.0.1 ragel RVM 1.9.2 There is also one more change we want to highlight: we now provide two installations of Rubinius, one in Ruby 1.8 mode and another one in Ruby 1.9 mode. Their RVM aliases are ...
A Big Refactoring!
We’ve just rolled out a big refactoring to the Travis CI application (i.e. the server app which runs on Heroku) that we’ve been working on over the last four weeks. This refactoring was quite far-reaching and even though we’ve tried hard to make sure everything works fine there may be glitches and bugs that we’ve overlooked. Why? The motivation behind all of this work was quite manifold. Maybe the best summary ...
Hello, World
puts “Hello, world!” I think that’s required for first blog posts on technical topics. Now that that’s out of the way Welcome to the first post on the Travis blog! Hopefully we’ll end up having a bunch of great content for you here. We? Who’s this ‘we’? Me, of course. Duh. Specifically? I’m Steve Klabnik. I’m heading up the Travis documentation. But this entire website is on GitHub, so if you were so inclined...


i got a little request for youre addon, can you please add a feature for the game manager that it is always minimized? the thing thats pops out when you join a game.
Dont really know why so I'm just a messenger.
BrainFooLong
Administrator
Simple no. It makes absolutely no sense at all.
I think it requires no more detailed explanation.
Topicstarter
juress
Theme Developer
brain wrote:
Simple no. It makes absolutely no sense at all.
I think it requires no more detailed explanation.


In this notebook, I'll lead you through using TensorFlow to implement the word2vec algorithm using the skip-gram architecture. By implementing this, you'll learn about embedding words for use in natural language processing. This will come in handy when dealing with things like translations.
Here are the resources I used to build this notebook. I suggest reading these either beforehand or while you're working on this material.
When you're dealing with language and words, you end up with tens of thousands of classes to predict, one for each word. Trying to one-hot encode these words is massively inefficient, you'll have one element set to 1 and the other 50,000 set to 0. The word2vec algorithm finds much more efficient representations by finding vectors that represent the words. These vectors also contain semantic information about the words. Words that show up in similar contexts, such as "black", "white", and "red" will have vectors near each other. There are two architectures for implementing word2vec, CBOW (Continuous Bag-Of-Words) and Skip-gram.
In this implementation, we'll be using the skip-gram architecture because it performs better than CBOW. Here, we pass in a word and try to predict the words surrounding it in the text. In this way, we can train the network to learn representations for words that show up in similar contexts.
First up, importing packages.
import time
import numpy as np
import tensorflow as tf
import utils
Load the text8 dataset, a file of cleaned up Wikipedia articles from Matt Mahoney. The next cell will download the data set to the data
folder. Then you can extract it and delete the archive file to save storage space.
from urllib.request import urlretrieve
from os.path import isfile, isdir
from tqdm import tqdm
import zipfile
dataset_folder_path = 'data'
dataset_filename = 'text8.zip'
dataset_name = 'Text8 Dataset'
class DLProgress(tqdm):
last_block = 0
def hook(self, block_num=1, block_size=1, total_size=None):
self.total = total_size
self.update((block_num - self.last_block) * block_size)
self.last_block = block_num
if not isfile(dataset_filename):
with DLProgress(unit='B', unit_scale=True, miniters=1, desc=dataset_name) as pbar:
urlretrieve(
'http://mattmahoney.net/dc/text8.zip',
dataset_filename,
pbar.hook)
if not isdir(dataset_folder_path):
with zipfile.ZipFile(dataset_filename) as zip_ref:
zip_ref.extractall(dataset_folder_path)
with open('data/text8') as f:
text = f.read()
Here I'm fixing up the text to make training easier. This comes from the utils
module I wrote. The preprocess
function coverts any punctuation into tokens, so a period is changed to <PERIOD>
. In this data set, there aren't any periods, but it will help in other NLP problems. I'm also removing all words that show up five or fewer times in the dataset. This will greatly reduce issues due to noise in the data and improve the quality of the vector representations.  The integers are assigned in descending frequency order, so the most frequent word ("the") is given the integer 0 and the next most frequent is 1 and so on. The words are converted to integers and stored in the list int_words
.
vocab_to_int, int_to_vocab = utils.create_lookup_tables(words)
int_words = [vocab_to_int[word] for word in words]
print(type(int_words))
print(len(int_to_vocab))
Words that show up often such as "the", "of", and "for" don't provide much context to the nearby words. If we discard some of them, we can remove some of the noise from our data and in return get faster training and better representations. This process is called subsampling by Mikolov. For each word $w_i$ in the training set, we'll discard it with probability given by
$$ P(w_i) = 1 - \sqrt{\frac{t}{f(w_i)}} $$where $t$ is a threshold parameter and $f(w_i)$ is the frequency of word $w_i$ in the total dataset.
I'm going to leave this up to you as an exercise. This is more of a programming challenge, than about deep learning specifically. But, being able to prepare your data for your network is an important skill to have. Check out my solution to see how I did it.
Exercise: Implement subsampling for the words in
int_words
. That is, go throughint_words
and discard each word given the probablility $P(w_i)$ shown above. Note that $P(w_i)$ is the probability that a word is discarded. Assign the subsampled data totrain_words
.
## Your code here
import math as mth
import random
def get_probability(param_t,freq_w):
return 1.0 - mth.sqrt(param_t/freq_w)
t = 5 # threshold parameter
# evaluate frequency table of each word
import collections as coll
counter = coll.Counter(int_words)
p_drop = {}
for val in counter.keys():
#print(val,counter[val])
discard_prob = get_probability(t,counter[val])
p_drop[val] = discard_prob
#print(p_drop)
train_words = [word for word in int_words if p_drop[word] < random.random()]
#print(train_words)
Now that our data is in good shape, we need to get it into the proper form to pass it into our network. With the skip-gram architecture, for each word in the text, we want to grab all the words in a window around that word, with size $C$.
From Mikolov et al.:
"Since the more distant words are usually less related to the current word than those close to it, we give less weight to the distant words by sampling less from those words in our training examples... If we choose $C = 5$, for each training word we will select randomly a number $R$ in range $< 1; C >$, and then use $R$ words from history and $R$ words from the future of the current word as correct labels."
Exercise: Implement a function
get_target
that receives a list of words, an index, and a window size, then returns a list of words in the window around the index. Make sure to use the algorithm described above, where you choose a random number of words from the window.
def get_target(words, idx, window_size=5):
''' Get a list of words in a window around an index. '''
R = np.random.randint(1, window_size+1)
start = idx - R if (idx - R) > 0 else 0
#print("start: ",start)
stop = idx + R
#print("stop: ",stop)
#print("words in range: ",words[start:stop+1])
target_words = set(words[start:idx] + words[idx+1:stop+1])
#print("left: ",words[start:idx], "word: ",words[idx]," right: ", words[idx+1:stop+1])
#print("target_words: ",target_words)
return list(target_words)
window_size = 7
idx = 4
print ("target: ",get_target(train_words, idx, window_size))
Here's a function that returns batches for our network. The idea is that it grabs batch_size
words from a words list. Then for each of those words, it gets the target words in the window. I haven't found a way to pass in a random number of target words and get it to work with the architecture, so I make one row per input-target pair. This is a generator function by the way, helps save memory.
def get_batches(words, batch_size, window_size=5):
''' Create a generator of word batches as a tuple (inputs, targets) '''
n_batches = len(words)//batch_size
# only full batches
words = words[:n_batches*batch_size]
for idx in range(0, len(words), batch_size):
x, y = [], []
batch = words[idx:idx+batch_size]
for ii in range(len(batch)):
batch_x = batch[ii]
batch_y = get_target(batch, ii, window_size)
y.extend(batch_y)
x.extend([batch_x]*len(batch_y))
yield x, y
example_words = train_words[0:50]
print("example words: ",example_words)
example_batch_size = 5
example_window_size = 7
example_batches = get_batches(example_words, example_batch_size, example_window_size)
for x,y in example_batches:
print(" ")
print("x: ",x)
print("y: ",y)
From Chris McCormick's blog, we can see the general structure of our network.
The input words are passed in as one-hot encoded vectors. This will go into a hidden layer of linear units, then into a softmax layer. We'll use the softmax layer to make a prediction like normal.
The idea here is to train the hidden layer weight matrix to find efficient representations for our words. This weight matrix is usually called the embedding matrix or embedding look-up table. We can discard the softmax layer becuase we don't really care about making predictions with this network. We just want the embedding matrix so we can use it in other networks we build from the dataset.
I'm going to have you build the graph in stages now. First off, creating the inputs
and labels
placeholders like normal.
Exercise: Assign
inputs
andlabels
usingtf.placeholder
. We're going to be passing in integers, so set the data types totf.int32
. The batches we're passing in will have varying sizes, so set the batch sizes to [None
]. To make things work later, you'll need to set the second dimension oflabels
toNone
or1
.
train_graph = tf.Graph()
with train_graph.as_default():
inputs = tf.placeholder(tf.int32,[None],name="inputs")
labels = tf.placeholder(tf.int32,[None,None],name="labels")
The embedding matrix has a size of the number of words by the number of neurons in the hidden layer. So, if you have 10,000 words and 300 hidden units, the matrix will have size $10,000 \times 300$. Remember that we're using one-hot encoded vectors for our inputs. When you do the matrix multiplication of the one-hot vector with the embedding matrix, you end up selecting only one row out of the entire matrix:
You don't actually need to do the matrix multiplication, you just need to select the row in the embedding matrix that corresponds to the input word. Then, the embedding matrix becomes a lookup table, you're looking up a vector the size of the hidden layer that represents the input word.
<img src="assets/word2vec_weight_matrix_lookup_table.png" width=500>
Exercise: Tensorflow provides a convenient function
tf.nn.embedding_lookup
that does this lookup for us. You pass in the embedding matrix and a tensor of integers, then it returns rows in the matrix corresponding to those integers. Below, set the number of embedding features you'll use (200 is a good start), create the embedding matrix variable, and usetf.nn.embedding_lookup
to get the embedding tensors. For the embedding matrix, I suggest you initialize it with a uniform random numbers between -1 and 1 using tf.random_uniform. This TensorFlow tutorial will help if you get stuck.
n_vocab = len(int_to_vocab)
n_embedding = 200
with train_graph.as_default():
embedding = tf.Variable(tf.random_uniform((n_vocab, n_embedding), -1.0, 1.0))# create embedding weight matrix here
embed = tf.nn.embedding_lookup(embedding, inputs)# use tf.nn.embedding_lookup to get the hidden layer output
For every example we give the network, we train it using the output from the softmax layer. That means for each input, we're making very small changes to millions of weights even though we only have one true example. This makes training the network very inefficient. We can approximate the loss from the softmax layer by only updating a small subset of all the weights at once. We'll update the weights for the correct label, but only a small number of incorrect labels. This is called "negative sampling". Tensorflow has a convenient function to do this, tf.nn.sampled_softmax_loss
.
Exercise: Below, create weights and biases for the softmax layer. Then, use
tf.nn.sampled_softmax_loss
to calculate the loss. Be sure to read the documentation to figure out how it works.
# Number of negative labels to sample
n_sampled = 100
with train_graph.as_default():
softmax_w = tf.Variable(tf.truncated_normal((n_vocab, n_embedding),stddev=0.1))# create softmax weight matrix here
softmax_b = tf.Variable(tf.zeros(n_vocab))# create softmax biases here
# Calculate the loss using negative sampling
loss = tf.nn.sampled_softmax_loss(softmax_w, softmax_b,
labels, embed,
n_sampled, n_vocab)
cost = tf.reduce_mean(loss)
optimizer = tf.train.AdamOptimizer().minimize(cost)
This code is from Thushan Ganegedara's implementation. Here we're going to choose a few common words and few uncommon words. Then, we'll print out the closest words to them. It's a nice way to check that our embedding table is grouping together words with similar semantic meanings.
with train_graph.as_default():
## From Thushan Ganegedara's implementation
valid_size = 16 # Random set of words to evaluate similarity on.
valid_window = 100
# pick 8 samples from (0,100) and (1000,1100) each ranges. lower id implies more frequent
valid_examples = np.array(random.sample(range(valid_window), valid_size//2))
valid_examples = np.append(valid_examples,
random.sample(range(1000,1000+valid_window), valid_size//2))
valid_dataset = tf.constant(valid_examples, dtype=tf.int32)
# We use the cosine distance:
norm = tf.sqrt(tf.reduce_sum(tf.square(embedding), 1, keep_dims=True))
normalized_embedding = embedding / norm
valid_embedding = tf.nn.embedding_lookup(normalized_embedding, valid_dataset)
similarity = tf.matmul(valid_embedding, tf.transpose(normalized_embedding))
# If the checkpoints directory doesn't exist:
!mkdir checkpoints
Below is the code to train the network. Every 100 batches it reports the training loss. Every 1000 batches, it'll print out the validation words.
epochs = 10
batch_size = 1000
window_size = 10
with train_graph.as_default():
saver = tf.train.Saver()
with tf.Session(graph=train_graph) as sess:
iteration = 1
loss = 0
sess.run(tf.global_variables_initializer())
for e in range(1, epochs+1):
batches = get_batches(train_words, batch_size, window_size)
start = time.time()
for x, y in batches:
feed = {inputs: x,
labels: np.array(y)[:, None]}
train_loss, _ = sess.run([cost, optimizer], feed_dict=feed)
loss += train_loss
if iteration % 100 == 0:
end = time.time()
print("Epoch {}/{}".format(e, epochs),
"Iteration: {}".format(iteration),
"Avg. Training loss: {:.4f}".format(loss/100),
"{:.4f} sec/batch".format((end-start)/100))
loss = 0
start = time.time()
if iteration % 1000 == 0:
## From Thushan Ganegedara's implementation
# note that this is expensive (~20% slowdown if computed every 500 steps)
sim = similarity.eval()
for i in range(valid_size):
valid_word = int_to_vocab[valid_examples[i]]
top_k = 8 # number of nearest neighbors
nearest = (-sim[i, :]).argsort()[1:top_k+1]
log = 'Nearest to %s:' % valid_word
for k in range(top_k):
close_word = int_to_vocab[nearest[k]]
log = '%s %s,' % (log, close_word)
print(log)
iteration += 1
save_path = saver.save(sess, "checkpoints/text8.ckpt")
embed_mat = sess.run(normalized_embedding)
Restore the trained network if you need to:
with train_graph.as_default():
saver = tf.train.Saver()
with tf.Session(graph=train_graph) as sess:
saver.restore(sess, tf.train.latest_checkpoint('checkpoints'))
embed_mat = sess.run(embedding)
Below we'll use T-SNE to visualize how our high-dimensional word vectors cluster together. T-SNE is used to project these vectors into two dimensions while preserving local stucture. Check out this post from Christopher Olah to learn more about T-SNE and other ways to visualize high-dimensional data.
%matplotlib inline
%config InlineBackend.figure_format = 'retina'
import matplotlib.pyplot as plt
from sklearn.manifold import TSNE
viz_words = 500
tsne = TSNE()
embed_tsne = tsne.fit_transform(embed_mat[:viz_words, :])
fig, ax = plt.subplots(figsize=(14, 14))
for idx in range(viz_words):
plt.scatter(*embed_tsne[idx, :], color='steelblue')
plt.annotate(int_to_vocab[idx], (embed_tsne[idx, 0], embed_tsne[idx, 1]), alpha=0.7)


ABOUT
2021 What do you do in Inyro?
INYRO, abbreviated by Brainy-Robot, intelligent robot, has 15 people interested in artificial intelligence and programming to form a group in 2005. A student in computer science who started out as a small group of programming enthusiasts, but is now promoted from various departments to a central club composed of members interested in programming.


Impeachment inquiry hearings move into second week in US House
by The Eagle OnlineThe second week of impeachment hearings in the US House of Representatives kicks off on Tuesday with four current and former administration officials scheduled to testify.
Alexander Vindman, the top Ukraine expert on the National Security Council, and Jennifer Williams, an aide on Vice President Mike Pence’s staff, are scheduled to testify in the morning session.
Vindman and Williams directly listened in on the July 25 phone call at the centre of the impeachment inquiry.
Top US diplomats said in testimony last week they were alarmed about what they viewed as an attempt by the White House to make military aid to Ukraine conditional on an investigation into his political rival Joe Biden and his son.
Republicans have accused the Bidens of corruption over Hunter Biden’s work for a Ukrainian energy company.
Democrats launched the inquiry after a whistleblower reported details of the July 25 call between Trump and Ukrainian President Volodymyr Zelensky.
They accuse Trump of abusing his power by withholding the military aid while pressuring Ukraine to investigate his domestic political rival in order to help his own 2020 re-election campaign.
The two other officials due to testify on Tuesday are Tim Morrison, the NSC’s former official in charge of overseeing Russia and Europe policy, and Kurt Volker, former special representative to Ukraine.
They are expected to say the phone call was part of a months-long efforts to get Ukraine to find political dirt on the Bidens.
Trump has called the inquiry a “great fraud” but on Monday said he is considering providing written testimony.
dpa/NAN.
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Leisure Time Accumulator
Reset
Work
Pause
Break
Change Ratio
Total Time Worked
0:00:00
Work to Leisure Ratio
:
Break Allowance
Alarm
Alter
Stopwatch
Timer
Alter Work / Break
:
Work
Break
Increase
Decrease
Timer
:
:
0:00:00
Start
Pause
Stop
Clear
Stopwatch
0:00:00
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Pause
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Lap
24 Hour Alarm Clock
:
Start
Stop
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NEURON mod files from the paper:
Migliore M, Ferrante M, Ascoli GA (2005)
Signal propagation in oblique dendrites of CA1 pyramidal cells.
J Neurophysiol 94:4145-4155
The model shows how the back- and forward propagation of action potentials
in the oblique dendrites of CA1 neurons could be modulated by local properties
such as morphology or active conductances.
The simulation reproduces Fig.2A of the paper, using neuron 5038804:
Morphology files for all the neurons used in this paper can be found at:
http://krasnow.gmu.edu/L-Neuron
Under unix systems:
to compile the mod files use the command
nrnivmodl
and run the simulation hoc file with the command
nrngui fig2A.hoc
Under Windows systems:
to compile the mod files use the "mknrndll" command.
A double click on the simulation file
fig2A.hoc
will open the simulation window.
Questions on how to use this model
should be directed to michele.migliore@pa.ibf.cnr.it


[gecode-users] Value selection when branching
Mikael 'Zayenz' Lagerkvist
zayenz at gmail.com
Tue Feb 7 17:47:18 CET 2006
On 2/7/06, Lars Otten <ottenl at student.chalmers.se> wrote:
> If I recall correctly there's a function rand_r(int*) that might be useful
> for my purposes, as an alternative to implementing my own generator --
> which, on the other hand, shouldn't be that much work after all (a basic one
> is given in the manpage for rand() as well).
In test/random.cc in the gecode directory, there is a linear
congruential random number generator suggested as "good enough" by
Knuth for applications where "true" randomness is not that important.
It is simple, and has a clear value for it's state. This could be a
good starting-point for you.
Cheers
Mikael
--
Mikael 'Zayenz' Lagerkvist, http://www.imit.kth.se/~zayenz/
More information about the gecode-users
mailing list


As with the first Side Colors volume, Side Colors II departs once more from Lawrence and Holo's travels north, taking the reader off the beaten path to explore three exquisite side stories. Remember, it's not so much about the destination, as it is the journey...
Genre: Fiction
On Sale: April 22nd 2014
ISBN-13:<PHONE_NUMBER>274
Format: Trade Paperback


- Log - Class in com.github.davidmoten.rx.slf4j
-
- Log() - Constructor for class com.github.davidmoten.rx.slf4j.Log
-
- log() - Method in class com.github.davidmoten.rx.slf4j.Log.Builder
-
- log(Logging.Level) - Method in class com.github.davidmoten.rx.slf4j.Log.Builder
-
- log() - Static method in class com.github.davidmoten.rx.slf4j.Logging
-
Returns an Observable.Operator
that logs every onNext value using a
Logger
based on the current class.
- log(String) - Static method in class com.github.davidmoten.rx.slf4j.Logging
-
Returns an Observable.Operator
that logs every onNext value using a
Logger
based on the current class.
- log() - Method in class com.github.davidmoten.rx.slf4j.Logging.Parameters.Builder
-
- Log.Builder<T> - Class in com.github.davidmoten.rx.slf4j
-
- logger() - Static method in class com.github.davidmoten.rx.slf4j.Logging
-
Returns a builder for which the Logger
is based on the current
class (using LoggerFactory.getLogger(Class)
.
- logger(String) - Static method in class com.github.davidmoten.rx.slf4j.Logging
-
Returns a builder for which the Logger
is based on the given name
(using LoggerFactory.getLogger(String)
.
- logger(Logger) - Static method in class com.github.davidmoten.rx.slf4j.Logging
-
Returns a builder using the supplied Logger
.
- logger(Class<?>) - Static method in class com.github.davidmoten.rx.slf4j.Logging
-
Returns a builder for which the Logger
is based on the given
class (using LoggerFactory.getLogger(Class)
.
- logger(Logger) - Method in class com.github.davidmoten.rx.slf4j.Logging.Parameters.Builder
-
Sets the SLF4J Logger
to be used to do the logging.
- logger(Class<?>) - Method in class com.github.davidmoten.rx.slf4j.Logging.Parameters.Builder
-
Sets the cls to be used to create a Logger
to do the
logging.
- Logging - Class in com.github.davidmoten.rx.slf4j
-
- Logging() - Constructor for class com.github.davidmoten.rx.slf4j.Logging
-
- Logging.Level - Enum in com.github.davidmoten.rx.slf4j
-
- Logging.Parameters<T> - Class in com.github.davidmoten.rx.slf4j
-
- Logging.Parameters.Builder<T> - Class in com.github.davidmoten.rx.slf4j
-
- Logging.Parameters.Message<T> - Class in com.github.davidmoten.rx.slf4j
-


THE MAGNIFICENT SEVEN (1960) A Film Review Copyright Dragan Antulov 1999
In former Yugoslavia, generally speaking, the best or the most popular television shows were produced by Serbian state television. However, there were shows produced by other republics' studios that successfully competed with Belgrade television. SMOGOVCI, children's show about Zagreb family, produced by Croatian television, was one of such examples, which turned into the most popular and longest running television series in these areas. Secret of its success, together with good script and acting, was clever use of pop culture references. Among them, the most obvious one was musical theme used in the show's opening credits - "borrowed" by Elmer Bernstein. The theme, which is now always associated with the genre of western thanks to Marlborough commercials, was written for THE MAGNIFICENT SEVEN, 1960 film by John Sturges and one of the most popular westerns of all time.
The plot of the film isn't original, since THE MAGNIFICENT SEVEN happens to be the remake of SEVEN SAMURAI, 1954 classic by great Japanese director Akira Kurosawa. The characters and situations are mostly the same, but the setting is different. First we are introduced to a Mexican village, populated by simple but hard-working farmers. Fruits of their labour are, however, always being taken away by the large group of bandits led by Calvera (played by Eli Wallach) which comes every year. After the latest visit, the villagers had enough and desperately want to get rid of such menace. But, since they lack weapons and skills to resist the bandits, village leaders ask the Old Man (played by Vladimir Sokoloff) for an advice. He tells them to gather the every coin and other precious belongings they still have in the village and head across US border in order to hire gunslingers.  He quickly begins assembling his team, whose members agree to follow him for reasons different than money, since the pay is low. Chico (played by Horst Buchholz), the youngest of them, is not gunfighter at all, and wants to follow the group only to learn their deadly trade. The group - now numbering seven - arrives in the village and starts preparing for the inevitable showdown.
Remaking the indisputable classics like SEVEN SAMURAI is always rather thankless job for the filmmakers. However, four decades ago Hollywood was still able to produce at least decent remakes. In this case, John Sturges, very experienced director of classic westerns, didn't bother to add anything significantly new to Kurosawa's plot and the script by William Roberts and William Bernstein is very faithful to original when it comes to characters and situations. Those who had watched Kurosawa's version would experience a lot of deja vus when they watch THE MAGNIFICENT SEVEN, but Sturges found a way to compensate the lack of originality by using resources Kurosawa had not. First of all, Sturges is using colour photography, as well as exotic Mexican locations with impressive scenery and local folklore. Then, there is aforementioned music by Elmer Bernstein. Finally, length of the film is drastically trimmed (two hours compared to 200 minutes in Kurosawa's original cut) and the cast is more acceptable to the average Western audience.
The ensemble cast of THE MAGNIFICENT SEVEN didn't look very stellar in its time, but the actors who played the seven gunmen later became legends, mostly thanks to the big break in this film. Yul Brynner, the nominal lead, was perfect for the role of Chris Adams with his commanding presence, and the black clothes (including the hat) he wore in this film would later became one of his iconic trademarks - ironically used by the same actor in 1973 sci-fi thriller WESTWORLD. The other six members of his crew were young unknowns at the time, but each of them was memorable; the characters they played were unique, either because different motives or different character traits. Some of those actors became action legends, like Steve McQueen and Charles Bronson. Some never became top stars but instead earned reputation of respected character actors, like James Coburn and Robert Vaughn (the latter one actually reprised his role in BATTLE BEYOND THE STARS, 1980 science fiction remake). Some never used this big break, like Brad Dexter who would later sink into obscurity. Buchholz, who had the hardest job by playing role already immortalised by Toshiro Mifune, actually did his part well, and although he didn't become big Hollywood star, this moment in his career foreshadowed his future successes in Europe. Eli Wallach as Mexican bandit did his part also well, but his character wasn't fleshed out enough in the script; on the other hand, his performance foreshadows the immortal role of Tuco in Leone's THE GOOD, THE BAD AND THE UGLY.
The performances in this film are very good, and shootouts and action scenes were also exciting and well directed. But, on the other hand, film still lacks texture and at times seems too preachy compared with Kurosawa's original. Some of the situations are even melodramatic and somewhat predictable. Sturges did his job very well, but he still couldn't escape the shadow of Kurosawa. But, on the other hand, remaking SEVEN SAMURAI was justified, and three more versions, as well as popular TV show, are the proof this plot's universality. And, despite the flaws, THE MAGNIFICENT SEVEN earned its reputation of the essential western classic.
RATING: 7/10 (++)
Review written on December 22nd 1999
Dragan Antulov a.k.a. Drax Fido: 2:381/100 E-mail<EMAIL_ADDRESS>E-mail<EMAIL_ADDRESS>E-mail<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


First post
Written on August 14th, 2011 by Paul
This is my
first
blog post.
Here's a heading
And this is a block quote


Motivation
Chapter 6 of "Search Inside Yourself" is "The Art of Self Motivation". It describes three "types of happiness": Please, passion, and higher purpose. Each type has varying levels of sustainability.
-
Pleasure - Chasing the next high.
-
Passion - Peak performance meets peak engagement (ie. the previously discussed "flow").
-
Higher Purpose: Being part of something bigger than yourself that has meaning to you. The most sustainable type.
This reminds me of a lecture I had during my Bachelors studies, in which we learnt that the two ingredients required to achieve happiness was meaningful love and meaningul work, a thought that has resonated with me since hearing it. Both of those ingredients would fit into the higher purpose category.


5
1 Guard your conduct when you go to the house of God. Go there to listen. Listening is better than when fools offer sacrifices while not knowing that what they do in life is wicked.
2 Do not be too quick to speak with your mouth,
and do not let your heart be too quick to bring any matter up before God.
God is in heaven, but you are on earth,
so let your words be few.
3 If you have too many things to do and worry about, you will probably have bad dreams.
And the more words you speak, the more foolish things you will probably say .
4 When you make a vow to God, do not delay to do it, for God has no pleasure in fools. Do what you vow you will do.
5 It is better not to make a vow than to make one that you do not carry out.
6 Do not allow your mouth to cause your flesh to sin. Do not say to the priest's messenger, "That vow was a mistake." Why make God angry by vowing falsely, provoking God to destroy the work of your hands?
7 For in many dreams, as in many words, there is meaningless vapor. So fear God.
8 When you see the poor being oppressed and robbed of just and right treatment in your province, do not be astonished as if no one knows, because there are men in power who watch those under them, and there are even higher ones over them.
9 In addition, the produce of the land is for everyone, and the king himself takes produce from the fields.
10 Anyone one who loves silver will not be satisfied with silver,
and anyone who loves wealth always wants more.
This, too, is vapor.
11 As prosperity increases, so also do the people who consume it.
What advantage in wealth is there to the owner
except to watch it with his eyes?
12 The sleep of a working man is sweet,
whether he eats little or a lot,
but the wealth of a rich person does not allow him to sleep well.
13 There is a severe evil that I have seen under the sun:
riches hoarded by the owner, resulting in his own misery.
14 When the rich man loses his wealth through bad luck,
his own son, one whom he has fathered, is left with nothing in his hands.
15 As a man is born naked from his mother's womb,
so also he will leave this life naked.
He can take in his hand nothing from his work.
16 Another severe evil is
that exactly as a person came, so also he must go away.
So what profit does anyone get in working for the wind?
17 During his days he eats with darkness
and is greatly distressed with sickness and anger.
18 Look, what I have seen to be good and suitable is to eat and drink and to enjoy the gain from all our work, as we labor under the sun during the days of this life that God has given us. For this is man's assignment.
19 Anyone to whom God has given riches and wealth and the ability to receive his share and rejoice in his work—this is a gift from God.
20 For he does not call to mind very often the days of his life, because God makes him keep busy with the things that he enjoys doing.


| Modifier and Type | Method and Description |
|---|---|
void |
addListener(ISlotListener listener)
Adds a slot-listener.
|
IFrame |
getContainer()
Provides the frame to which the slot is attached.
|
java.lang.String |
getDisplayLabel()
Provides a label for the entity, suitable for displaying to
an end-user.
|
IEditability |
getEditability()
Specifies the editability status for the slot.
|
CSlot |
getType()
Provides the concept-level slot of which this slot is an
instance.
|
ISlotValues |
getValues()
Provides the object for accessing the slot-values.
|
ISlotValuesEditor |
getValuesEditor()
Provides the object for editing the slot-values.
|
CValue<?> |
getValueType()
Provides the current value-type for the slot.
|
java.lang.String |
toString()
Provides a description of the entity, intended to provide
information to the software developer, and not suitable for
displaying to an end-user.
|
public void addListener(ISlotListener listener)
listener
- Listener to addpublic java.lang.String toString()
public java.lang.String getDisplayLabel()
getDisplayLabel
in interface FEntity
public CSlot getType()
public IFrame getContainer()
public CValue<?> getValueType()
public IEditability getEditability()
NOTE: If the slot is a special "disjuncts-slots" attached to
a disjunction-frame (see IFrame
for details), then
editability will always be IEditability.CONCRETE_ONLY
)
on both assertions and queries, despite the editability status
of the slot-type being CEditability.DEFAULT
, which will
always be the case for disjuncts-slots.
public ISlotValues getValues()
public ISlotValuesEditor getValuesEditor()
uk.ac.manchester.cs.mekon_util.KAccessException
- if slot is inactive or not editable


| Rank | Person | Country | Followers | Commits |
| 1 |
Dvorovenko Yaroslav
@dvorovenko
|
Ukraine | 4 | 1 |
| 1 |
Dvorovenko Yaroslav
@dvorovenko
|
Ukraine | 4 | 1 |


My name is Andrew Nashaat. I am a Mechatronics Engineer who is passionate about creating new ideas and convert them from concept to prototypes. So that’s why I worked hard on myself through educational years to gain Knowledge in different fields like Programming, Mechanical Design, and Electronics and Mechatronics system design.
In addition to that, I had worked with startups and STEM clubs for a while through which I got knowledge of developing business models, content creation for STEM programs and presenting ideas. That’s why I have Flexible mindset that is ready to absorb and learn new technologies and methodologies.
A fab lab (fabrication laboratory) is a small-scale workshop offering (personal) digital fabrication.
A fab lab is typically equipped with an array of flexible computer-controlled tools that cover several different length scales and various materials, with the aim to make "almost anything". This includes technology-enabled products generally perceived as limited to mass production.
The maker culture is a contemporary culture representing a technology-based extension of DIY culture that intersects with hacker culture and revels in the creation of new devices as well as tinkering with existing ones.
The maker culture in general supports open-source hardware. Typical interests enjoyed by the maker culture include engineering-oriented pursuits such as electronics, robotics, 3-D printing, and the use of Computer Numeric Control tools, as well as more traditional activities such as metalworking, woodworking, and, mainly, its predecessor, the traditional Arts and arts & crafts.
Fab Lab New Cairo (FLiNC) is for all the makers, students, engineers, and designers who want to bring their ideas to life. FLiNC is located at Giza Systems premises, offering advanced digital fabrication equipment and high-level hands-on workshops and trainings covering various subjects, serving a wide variety of age groups.


3 writes to ExternalWriter
System.Management.Automation (3)
engine\pipeline.cs (2)
963
LastCommandProcessor.CommandRuntime.OutputPipe.
ExternalWriter
1076
UpstreamPipe.
ExternalWriter
=
engine\runtime\Operations\MiscOps.cs (1)
255
commandProcessor.CommandRuntime.ErrorOutputPipe.
ExternalWriter
= context.ExternalErrorOutput;
1 reference to ExternalWriter
System.Management.Automation (1)
engine\pipeline.cs (1)
392
if (prevcommandProcessor.CommandRuntime.ErrorOutputPipe.
ExternalWriter
!= null)


5 references to WriteHelper
System.Management.Automation (5)
engine\MshCommandRuntime.cs (5)
429
lastProgressContinueStatus =
WriteHelper
(
529
lastDebugContinueStatus =
WriteHelper
(
623
lastVerboseContinueStatus =
WriteHelper
(
719
lastWarningContinueStatus =
WriteHelper
(
861
lastInformationContinueStatus =
WriteHelper
(


@(confForm: Form[SystemConfiguration])(implicit flash: Flash, globalViewContext: GlobalViewContext)
@import BootstrapHelpers._
@main("System Configuration", "System Configuration") {
System Configuration
@helper.form(routes.Application.updateSystemConfiguration(), 'role -> "form") {
@helper.inputText(confForm("projectName"),
'class -> "form-control",
'placeholder -> "Project name",
'_label -> "Project name",
'_help -> "Name of project being tested.")
Broken status
@helper.inputText(confForm("brokenDurationThreshold"),
'class -> "form-control",
'placeholder -> "Duration threshold",
'_label -> "Duration threshold",
'_help -> "How long a test must have been failing before it is classified as Broken, rather than a Warning (e.g. 6 hours, 1 day, etc.)")
@helper.inputText(confForm("brokenCountThreshold"),
'class -> "form-control",
'placeholder -> "Count threshold",
'_label -> "Count threshold",
'_help -> "Number of consecutive failures required before a test is classed as Broken, rather than a Warning")
Healthy status
@helper.inputText(confForm("healthyDurationThreshold"),
'class -> "form-control",
'placeholder -> "Duration threshold",
'_label -> "Duration threshold",
'_help -> "How long a test must have been passing before it is classified as Healthy, rather than a Warning (e.g. 6 hours, 1 day, etc.)")
@helper.inputText(confForm("healthyCountThreshold"),
'class -> "form-control",
'placeholder -> "Count threshold",
'_label -> "Count threshold",
'_help -> "Number of consecutive passes required before a test is classed as Healthy, rather than a Warning")
}
}


Unlike cities in Virginia, towns are political subdivisions of Virginia counties. The Town of Blacksburg is a political subdivision of Montgomery County, Virginia and provides certain public services in addition to, or in lieu of, those provided by the County. Consequently, businesses located within the incorporated Town of Blacksburg are subject to certain Montgomery County and/or Town of Blacksburg taxes. Descriptions of the major local business taxes levied within the incorporated Town of Blacksburg are here.
Unlike cities in Virginia, towns are political subdivisions of Virginia counties. The Town of Blacksburg is a political subdivision of Montgomery County, Virginia and provides certain public services in addition to, or in lieu of, those provided by the County. Consequently, businesses located within the incorporated Town of Blacksburg are subject to certain Montgomery County and/or Town of Blacksburg taxes. Descriptions of the major local business taxes levied within the incorporated Town of Blacksburg are here.
$100 mobile food vendor licenses
Meal tax of 6% in addition to the 5.3% sales tax.$25
$25
$50
$37.50
$37.50
$50
$.10 per $100 gross receipts
$.13 per $100 gross receipts


slase
Home page
add new location
location
minimum number of customer
maximum number of customer
averag number of customer


Contributors
EnterpriseReady was created for the people who build SaaS products, that’s why it was important to get contributors from the teams who are building the leading SaaS products. We’ve all experienced the bumpy road to finding enterprise adoption, a lot of the bumps were making our applications more Enterprise Ready. Enterprise Ready is the culmination of all of our efforts to help more SaaS vendors find success in the Enterprise.
Replicated is a platform that enables SaaS providers to ship an installable version of their application on premise, this means into their customer’s private data center or private cloud. Alongside providing the platform to deliver the application Replicated also provides Enterprise features, i.e. Single Sign On and Audit Logging.
Tenable Network Security transforms security technology for the business needs of tomorrow through comprehensive solutions that provide continuous visibility and critical context, enabling decisive actions to protect your organization. Tenable eliminates blind spots, prioritizes threats, and reduces exposure and loss.
Founded in 2012, Bitium aims to give growing companies the ability to manage access to all of their web-based applications — including Google Apps and Office 365, as well as social networks and CRM, collaboration and marketing tools — in one place, without hindering employee adoption of these applications.


In order to use the mcDropdown plug-in, you need the following:
* This plug-in may work with older versions of jQuery in the 1.2 family. If you try using this with an older version of jQuery, you will need to include the jquery.dimensions.js plug-in (as of jQuery v1.2.6 the jquery.dimensions.js plug-in is included in the jQuery core.)
The mcDropdown plug-in has two main methods of being invoked. The first method creates a new instance of the widget on an existing element:
$("#mcdropdown").mcDropdown(list, [options]);
NOTE: The initial element that you apply the plug-in to is destroyed and replaced with a new input element with the same id attribute. While the mcDropdown() method does not destroy the jQuery chain, it does effectively return a "dirty" reference (since the original element no longer exists.) Because of this, you'll want to make sure that the mcDropdown() method is the last call in your chain. Also, if you plan on caching a reference to the element, you will need to create the cached instance after you initiated the widget.
This argument is required and must point to an unordered list element. The list argument can be any one of the following:
This should be a reference to a single list element.
This argument is optional and allows you to customize the settings used for each instance of the plug-in. For a list of all available options, see the Options section.
The second method of invoking the mcDropdown() plug-in is to return a reference to an existing instance of the mcDropdown() widget. So, once we have initiated an instance of the mcDropdown widget, we can do the following:
var dd = $("#mcdropdown").mcDropdown();
Now that we have a reference to the widget, we can invoke any of the public methods available.
Returns an array [value, label] containing the value stored in the hidden <input /> element and the label currently being displayed to the user.
Sets the instance of the mcDropdown widget to a specific value. The value passed should correspond the a valid list item (
) value.
Programmatically opens the menu.
Programmatically closes the menu. (NOTE: Any click the user makes onscreen will also close the menu.)
Calls the focus() event for the text input element.
This method will either enabled (false) or disable (true) the dropdown widget. When the widget is disabled, the user can not change the value via the UI.
There are a number of options available for customizing the look and feel of the mcDropdown widget.
{
minRows: 8 // specify the minimum rows before creating a new column
, maxRows: 25 // specify the maximum rows in a column
, targetColumnSize: 2 // specify the default target column size (it will attempt to create
// this many columns by default, unless the min/max row rules are not being met)
, openFx: "slideDown" // the fx to use for showing the root menu
, openSpeed: 250 // the speed of the openFx
, closeFx: "slideUp" // the fx to use for hiding the root menu
, closeSpeed: 250 // the speed of the closeFx
, hoverOverDelay: 200 // the delay before opening a submenu
, hoverOutDelay: 0 // the delay before closing a submenu
, showFx: "show" // the fx to use when showing a submenu
, showSpeed: 0 // the speed of the showFx
, hideFx: "hide" // the fx to use when closing a submenu
, hideSpeed: 0 // the speed of the hideFx
, dropShadow: true // determine whether drop shadows should be shown on the submenus
, autoHeight: true // always uses the lineHeight options (much faster than calculating height)
, lineHeight: 19 // the base height of each list item (li) this is normally calculated
// automatically, but in some cases the value can not be determined and
// you will need to set it manually
, screenPadding: 10 // the padding to use around the border of the screen -- this is used
// to make sure items stay on the screen
, allowParentSelect: false // determines if parent items are allowed to be selected (by default
// only end nodes can be selected)
, delim: ":" // the delimited to use when showing the display string (must be single character)
, showACOnEmptyFocus: false // show the autocomplete box on focus when input is empty
, valueAttr: "rel" // the attribute that contains the value to use in the hidden field
, click: null // callback that occurs when the user clicks on a menu item
, select: null // callback that occurs when a value is selected
, init: null // callback that occurs when the control is fully initialized
}
The first thing we need to do is to load the required JavaScript libraries and the CSS stylesheet used by the widget:

<link type="text/css" href="./css/jquery.mcdropdown.css" rel="stylesheet" media="all" />
Before you can invoke an instance of the mcDropdown widget, you must have an unordered list element—which is used as your menu. If you have ever used the "suckerfish" technique, then setting up the list element is very straight forward. One of the key features of this widget is its ability to display hierarchical data structures that are very deep. However, for this example we will keep the HTML simple and straightforward. The default CSS stylesheet Giva provides expect that all unordered lists being used as menus will have a class of "mcdropdown_menu." If you choose to use a different class name, make sure to update the CSS file accordingly.

Arts & Humanities

Photography

3D

Digital

History

Literature

Business & Economy

Computers & Internet

Education

Entertainment

Movies

TV Shows

Music

Humor

Health

Notice how each of the
 elements contains the "rel" attribute? This is used to define the unique "value" for each item. This allows you to display whatever text you want to the user, but store a value that corresponds to a unique identifier. When a user selects an item from the menu, it is this value that is placed in a hidden <input /> element and therefore passed back to the server when the form is submitted. If you wish to use a different attribute to store your value, you can use the valueAttr option to change this to any attribute you want.
Now that the list element has been created, you need to create a DOM element that will become the widget:
<input type="text" name="category" id="category" value="" />
You can invoke the mcDropdown() plug-in on any block display element (like a
,) but by binding it to a text input element you will enable the keyboard entry feature.
The next step is to actually create an instance of the mcDropdown widget. You want to make sure to initialize the widget after all the necessary DOM elements are available, which makes the document.ready event a great place to initialize the widget.

Now let us take a look at what the code above produced.
Please select a category:
NOTE: Safari/Webkit has a bug in CSS engine when using the :hover psuedo class with the adajacent sibling selector. If you notice weird artifacts after mousing over elements, it's related to this CSS bug.
Click the icon to the right of the text box in order to see the widget in action. If you place the widget at the bottom of the viewport, you will notice that the widget automatically scrolls the page so that the entire menu appears on the screen. This is designed to reduce user frustration by making sure the user can actually use the control. No scrolling will take place if the widget can already display itself onscreen.
Another key usability feature the mcDropdown widget offers is keyboard entry. If you place the cursor inside the text box you can now use the keyboard to select an item. If an item is already selected, you will notice that placing focus on the input element causes the last child item to be automatically pre-selected. This allows for quickly changing the selected item if an incorrect value was entered.
We designed the keyboard entry so that only options found in the unordered list element can be selected. To accomplish this task, each keystroke is monitored and only allow valid characters are actually registered by the widget.
Also, as the user types a list of all possible matches will appear in the autocomplete list. This list is narrowed to only include exact matches. There's no need for a user to type the complete item name either, once the item the user wants is selected, they can either press [TAB], [ENTER], [RIGHT ARROW] or the [:] (which is the defined label delimiter) to select the list item. The user will then either be presented with any child items or they will move to the next position in the form.
Users can also use the [UP ARROW] and [DOWN ARROW] keys to select options that appear in the autocomplete list. See the Keyboard Usage section for more information.
This source code is provided as-is. At this time Giva is not offering direct support for this product. If you are in need of assistance, post your question to one of the jQuery Mailing Lists. Members of the Giva development team actively participate on the jQuery Mailing lists, so if we see your question we will try our best to respond.
Copyright 2008 Giva, Inc. (http://www.givainc.com/labs/) Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.


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This could be used in a game, to train agents to have a particular behavior. In this case, the green points are all ruled by the same state machine, and we want to improve their behavior. The red point is an agent which should be avoided. The green points can move only to empty spaces. The actions are therefore either to move to an empty space or to stay. The red point moves according to a predefined periodic path.


here is AbsentM's time zoo !
To see the difference between static and fixed top navbars, just scroll.
Click


{{mainTitle.title}}
{{mainTitle.subtitle}}
The content above is populated via Angular AJAX calls to the Node server.
They can be edited (client-side) through Angular's two-way binding here:
Click a button below to change the header's background color:


Available now: Colourinz
Brand new coloring app for adults. Coming soon for the iPad and iPhone on the App Store.
---
title: Home
description: Home to Colourinz app and Fordee's Tech Blog.
image: /images/Boat.jpeg
bottom_image: /images/Keyboard.jpeg
---
Home to Colourinz app and Fordee's Tech Blog.
Fordee Dot Com
Brand new coloring app for adults. Coming soon for the iPad and iPhone on the App Store.
Musings from a developer who has spent way too much time with technology....


Bajaj Chetak EV to be showcased in Pune on November 14, 2019
by Akbar MerchantMarket launch for the Chetak EV is expected to take place in the coming months.
Bajaj Auto recently revealed its first EV, the Chetak e-scooter. The company also announced a 3,000km-long Chetak Electric Yatra where a group of 20 riders would take the Chetak EV across India visiting multiple cities and finally end the ride in Pune on November 14, 2019 where the Chetak EV will be unveiled for the first time in that city.
The Chetak EV gets European styling and is powered by an electric motor good for an output of 4kW. The e-scooter will initially be sold in cities like Pune and Bengaluru and will retail via KTM dealerships in order to ensure premium positioning and customer experience. It is yet not clear whether the standard Bajaj dealerships will be upgraded to accommodate Chetak sales in the future or whether the e-scooter will be introduced via KTM outlets in other markets too.
When the Chetak e-scooter hits showrooms in the coming months, we expect on-road price of the Chetak e-scooter to be priced under Rs 1.4 lakh.
Also read:
Bajaj Chetak to initially be sold through KTM showrooms in India


Protocols
The following protocols are available globally.
-
A type-erased validation type.
This protocol uses
See moreAny
instead of an associated type for thevalidation
method paramater. It also uses atype
property to store what the expected input type is.Declaration
Swift
public protocol AnyValidation
-
A type that can be used to validate a new value for a
Failable
type.A
Validation
type can only be used for aFailable
type ifFailable.T
andValidation.Suuported
types are the same.An example
Validation
implementation might look like this:struct Length1028<C>: Validation where C: Collection { static func validate(_ value: C)throws { guard value.count <= 1028 else { throw Error.toLong } } }
Both the
See moresubvalidations
property and thevalidate
method have default implementations, so neither need to be implemented to conform toValidation
.Declaration
Swift
public protocol Validation: AnyValidation
-
A validation type that verifies the length of a type conforming to
Collection
.internal struct LengthRange10To1028<C>: LengthValidation where C: Collection { typealias Supported = C static var maxLength: Int { return 1028 } static var minLength: Int { return 10 } }
If the value passed into the
See morevalidate
method has a length the is greater thanmaxLength
,ValidationError.lengthTooLong
is thrown. If the value has a length less thanminLength
,ValidationError.lengthTooShort
is thrown.Declaration
Swift
public protocol LengthValidation: Validation where Supported: Collection
-
A validation for checking that a value is greater or equal to a lesser value and less than or equal to a greater value.
struct NumberThousand: InRangeValidation { static let max: Int? = 9_999 static let min: Int? = 1_000 }
If the value being validated is greater than the
max
value,ValidationError.valueTooGreat
is throw. If the value is less than themin
value,ValidationError.valueTooSmall
is thrown.If the
See moremax
ormin
value isnil
, then the value being validated will not be checked against it. This allows for one sided validation ranges, where you could, for example, have any number greater than 42.Declaration
Swift
public protocol InRangeValidation: Validation where Supported: Comparable
-
Checks that a
String
value contains a match to a regular expression pattern somewhere in it.struct USPhoneNumber: RegexValidation { static let pattern = "1?-?\\(?[0-9]{3}\\)?-?[0-9]{3}-?[0-9]{4}" }
If you want to make sure the RegEx pattern matches the whole string, use the
^
and$
operators at the start and end of the pattern.If the string passed in to be validated does not contain a match for the RegEx pattern,
See moreValidationError.noRegexMatch
will be thrown.Declaration
Swift
public protocol RegexValidation: Validation where Supported == String


Based on the Search Inside Yourself book. I had a similar experience. In my previous workplace I had work together with my team and try to close to them on the field. However, because of his lower performance my manager seems did not quite happy with their results. Therefore, I teach them the basic how to sell again from the start so then at least they can produce some sales. At the same time I tried to talk to my manager that actually they are trying their best, however they need more time to produce big numbers of sales and I also explain to him that this is also due to the culture shock, as they just arrived in NZ. In the end my manager give them a chance and I still talk to him until now.
I do think it is very powerful. I think i strengthen my purposes why I do my job, why I study EDA. Simply, because I want to create better environment for other people back in my home country as well as in New Zealand. Other than that, I also do remember people who are supporting me and also who does not. However, when I do think people that did not really support my idea, I feel that it is something that made me strengthen my beliefs and made me realise that it is actually something that made me stronger individual.
I found that I can see myself struggle with the pressure that came from my ego. In this case, I am afraid of being failure not meeting expectation of my family in Indonesia in terms of career. However, I still see myself have a little bit struggle with my depression that happened in December which made me couldn't do my EDA work and lose motivation. Having tried this made myself realise that actually, slowly with open heart, positive and understanding myself is actually made myself ease and make myself have a resolution as well as being more positive a about my ambition.
I think somehow it applied as the phase-0 is also made me explore all the possibilities that can be happen later on the bootcamp. Therefore I do think in the bootcamp, it all SCARF model will be applied as it is very similar with what happened in most of the workplace
Generally speaking. I didn't really have difficulties in conversation even with stragers. However in this phase-0 it's just a bit difficult to connect just because I have other commitment outside that.


February 8 St Josephine Bakhita, Virgin
FIRST READING Hosea 2:14bc.15cd.19-20
Thus says the Lord: “Behold, I will bring her into the wilderness,
and speak tenderly to her.“And there she shall answer as in the
days of her youth, as at the time when she came out of the land
of Egypt. “And I will espouse you for ever; I will espouse you in
righteousness and in justice,in steadfast
love,and in mercy. I will
espouse you in faithfulness; and you shall know the Lord.”
The word of the Lord
RESPONSORIAL PSALM Psalm 45
R. Listen, O daughter, pay heed and give ear.
Or: Behold the bridegroom! Go out to meet Christ the Lord.
Listen, O daughter; pay heed and give ear:
forget your own people and your father’s house.
So will the king desire your beauty.
He is your lord, pay homage to him.
R. Listen, O daughter, pay heed and give ear.
Or: Behold the bridegroom! Go out to meet Christ the Lord.
The daughter of the king is clothed with splendour;
her robes are threaded with gold.
In fine clothing she is led to the king;
behind her are her maiden companions, brought to you.
R. Listen, O daughter, pay heed and give ear.
Or: Behold the bridegroom! Go out to meet Christ the Lord.
They are escorted amid gladness and joy;
they pass within the palace of the king.
Sons will be yours to succeed your fathers;
you will make them rulers over all the earth.
R. Listen, O daughter, pay heed and give ear.
Or: Behold the bridegroom! Go out to meet Christ the Lord.
SECOND READING 1 Corinthians7:25-35
Brethren: Concerning the unmarried, I have no command of the Lord,
but I give my opinion as one who by the Lord’s mercy is
trustworthy. I think that in view of the impending distress it is well
for a person to remain as he is. Are you bound to a wife? Do not
seek to be free. Are you free from a wife? Do not seek marriage.
But if you marry, you do not sin, and if a girl marries she does
not sin.Lord, but I give my opinion as one who by the Lord’s mercy is
trustworthy. I think that in view of the impending distress it is well
for a person to remain as he is. Are you bound to a wife? Do not
seek to be free. Are you free from a wife? Do not seek marriage.
But if you marry, you do not sin, and if a girl marries she does
not sin.
Forthe form of this world is passing away. I want you to be free
from anxieties. The unmarried man is anxious about the affairs of
the Lord, how to please the Lord; but the married man is anxious
about worldly affairs, how to please his wife, and his interests are
divided. And the unmarried woman or virgin is anxious about the
affairs of the Lord, how to be holy in body and spirit; but the
married woman is anxious about worldly affairs, how to please her
husband. I say this for your own benefit, not to lay any restraint
upon you, but to promote good order and to secure your undivided
devotion to the Lord.
The word of the Lord
ALLELUIA
R. Alleluia. (Lent: Glory and praise to you, O Christ.) This is the wise virgin, whom the Lord found watchful; when the Lord comes, she will enter the wedding feast with him.(Lent: Glory and praise to you, O Christ.)R. Alleluia.
GOSPEL Matthew 19:3-12
At that time: Pharisees came up to Jesus and tested him by asking,
“Is it lawful to divorce one’s wife for any cause?” He answered,
“Have you not read that he who made them from the beginning
made them male and female, and said, ‘For this reason a man
shall leave his father and mother and be joined to his wife, and
the two shall become one?’ So they are no longer two but one.
What therefore God has joined together, let no man put asunder.”
They said to him, “Why then did Moses command one to give a
certificate of divorce, and to put her away?” He said to them, “For
your hardness of heart Moses allowed you to divorce your wives,
but from the beginning it was not so. And I say to you: whoever
divorces his wife, except for unchastity, and marries another, commits
adultery; and he who marries a divorced woman, commits
adultery.” The disciples said to him, “If such is the case of a man
with his wife, it is not expedient to marry.” But he said to them,
“Not all men can receive this precept, but only those to whom it
is given. For there are eunuchs who have been so from birth, and
there are eunuchs who have been made eunuchs by men, and there
are eunuchs who have made themselves eunuchs for the sake of
the kingdom of heaven. He who is able to receive this, let him
receive it.”"
The Gospel of the Lord


The B2G installer add-on helps to solve the long-standing issue of not being able to redistribute full system builds because of blobs (proprietary components.) This article details how the add-on works, and how to install it.
Important: This add-on is still at an experimental stage, and in need of a maintainer. For now, it is recommended to use it only against a device you know how to reflash in case something bad happens. It is currently only supported on Linux (32 and 64 bit) and OSX (64 bit.)
Important: As of the first release of this add-on, it is important to understand that the scope is really to support the following basic use case: flashing B2G on a supported device running an Android (or CyanogenMod) system. Handling of B2G upgrades, and getting Blobs from a source other than the device are not (yet) addressed.
Building a blobfree distribution
One solution to the named issue above is to produce a so-called "blobfree" distribution (see bug 1175934) that bundles everything needed for a device build:
- Full system built out of sources.
- Device compatibility information.
- Partition mapping.
- List of required Blobs, along with mappings to their required destinations in the final build.
Such a blobfree distribution can be built by specifying the |blobfree|
make
target when building B2G:
$ ./build.sh blobfree
Note: More details about this can be found on the blobfree section of the B2G building page.
The B2G installer add-on facilitates installing such distributons.
Adding new device support
To make a new device available from within the add-on when the user plugs in a compatible device, a few steps are required:
- Make sure that your device has support for generating a blobfree distribution. Check the blobfree section of the B2G building page.
- Once your device does have support for this, you can proceed to make it available from the add-on. First, fork the builds repository.
- File a bug in Bugzilla in the Firefox OS :: B2GInstaller component.
- Augment
builds.json
with the information for your new device. - Send a PR on Github, attach it to the bug you created and ask for review :gerard-majax.
The builds.json
file contains an array of objects, each one describing a compatible device. Those objects have the following properties:
id
: The name of the device as displayed to the user.builds
: An array of the builds available for this device. Each build object inside the array must have these properties:name
: The string displayed when selecting the build.description
: A user-friendly description of what this build is.url
: URL of the blobfree distribution file.
adb
: A set of Android properties that the device MUST match to be detected as compatible.fastboot
: A set of Fastboot variables that the device MUST match to be detected as compatible.requiresRoot
: Optional value that defines whether the device must be rootable for installation to go ahead. This defaults totrue
.
Note: Each Android property or Fastboot variable can either be matched against a string (strict equality) or an array (strict equality of one of the array values.)
Installation
To install the B2G installer add-on, follow these steps:
- Make sure you are running Firefox Desktop Nightly and have the ADB Helper installed (v0.8.6 at least) — see the bottom of the fxos-simulator page for the install link.
- Create a separate profile
./firefox -P
- Install the B2G installer add-on XPI, using either of those methods:
- Make sure ADB helper 0.8.6 or higher is installed (WebIDE -> Project -> Manage Extra Components)
- Make sure you have at least 2GB of available space in /tmp/.
- Load the
about:b2g-installer
page (write this in the search bar). You might have to restart the browser before this works the first time. - If you want to help us improve the addon, you can tick the checkbox to collect information directly from your usage sessions. What information we collect is explained below, in the Data section.
Ready to use VM
You can also make use of a pre-built virtual machine as an OVA package. Please check with VirtualBox or your favorite tool on how to import this appliance. It provides a ready-to-use B2G Installer installation that supports some devices out of the box (udev, etc. already configured.) See bug 1204482 for more details, and the link below to download. Please verify the SHA1 to make sure the VM is good to use (~1.5GB download).
https://drive.google.com/file/d/0B8Ju6ek0Knd6WnE0N2F6ZHF0VTQ/view?usp=sharing SHA1:<PHONE_NUMBER>8e90d7de498952270cbbaee8e85acd
It is recommended to use the VM if you are running on an OS where B2G Installer does not work (e.g., Windows), or if you are running into issues with the steps above. The default configuration of this VM should handle those devices:
- Mozilla Flame
- Sony Xperia Z3 and Sony Xperia Z3 Compact
- LG Nexus 4 and LG Nexus 5
- Fairphone 2
- Wileyfox Swift
If you are willing to flash another device, you will have to configure USB passthrough with the proper USB VID/PID (do not forget the fastboot ones, that might differ) and also configure udev rules.
Usage
- When the add-on starts up, it will download
builds.json
from Github to get the list of available builds. A local zip file can always be used. - Attach your device via USB, and wait for the add-on to detect it.
- Once it has been detected as a supported device, a list of builds will be made available.
- Pick the build you want, click Flash and wait.
Screenshots
When the device is not plugged in:
When selecting a build:
When flashing a device:
Data
As part of improving the addon, we are collecting some data as it is used. The main goal is to ensure the add-on works properly for everyone. We are also collecting data to discover which devices people are interested in, so that supported builds can be adjusted accordingly. No tracking is being done.
We are sending two external telemetry pings to collect this data:
- One upon the device being detected by the add-on after it is plugged into the computer (this will happen every time the add-on is running *and* a device with ADB enabled is plugged in.) For this ping, we record:
- Device identification variables (model, build id, manufacturer, bootloader.)
- Whether this device has a CyanogenMod build installed.
- Whether a supported build was detected on the device.
Sample payload of plugging a supported device:
{ "payload": { "buildid": "KOT49H", "isSupported": true, "model": "Xperia Z3 Compact (B2G)", "bootloader": "s1", "manufacturer": "Sony" }, [...] }
Sample payload of plugging an unsupported device:
{ "payload": { "buildid": "LVY48I", "isSupported": false, "model": "Xperia Z1 Compact (B2G)", "bootloader": "s1", "manufacturer": "Sony" }, [...] }
- One each time a device flashing procedure is running. That will happen either at the end of a successful flashing procedure, or upon failure. For this ping, we record:
- The same variables as above.
- Whether the device is already running a B2G build.
- The URL of the build flashed (full path for a public build, filename without the whole path for a local build.)
- Whether the user kept their data.
- Whether the flashing was successful.
Sample payload with flash success:
{ "payload": { "isSupported": true, "installResult": true, "runsB2G": true, "buildid": "KOT49H", "keepData": false, "buildURL": "https://index.taskcluster.net/v1/task/gecko.v1.mozilla-central.latest.linux.nexus-4-kk-user.opt/artifacts/public/build/mako.blobfree-dist.zip", "model": "AOSP on Mako", "bootloader": "MAKOZ30d", "manufacturer": "LGE" }, [...] }
Sample payload with flash failure:
{ "payload": { "isSupported": true, "installResult": false, "runsB2G": true, "buildid": "KOT49H", "keepData": false, "buildURL": "https://index.taskcluster.net/v1/task/gecko.v1.mozilla-central.latest.linux.nexus-4-kk-eng.opt/artifacts/public/build/mako.blobfree-dist.zip", "model": "AOSP on Mako", "bootloader": "MAKOZ30d", "manufacturer": "LGE" }, [...] }
Hacking
- The code lives in the b2g-installer repo. You need to apply the patch to a mozilla-central clone, and then symlink
browser/extensions/b2g-installer
to your clone of theb2g-installer
repo. - To build it you need to run
|./mach build && ./mach build package|
. - The resulting XPI will be produced in your
MOZ_OBJDIR/dist/xpi-stage/b2g-installer/
directory. - It contains a copy of the source code of external tools from AOSP/CAF, needed when building partitions.
- Tests are written as mochitest/xpcshell tests.
- Check also the meta bug and its dependencies: Bug 1166276
TODO
- Move back out of mozilla-central tree for building. This probably implies rewriting tests with something else than mochitests.
- Convert building of tools from moz.build to Makefile.
- Support external source of blobs (needed to handle upgrade case).


Enter your name, hit the submit button and watch your name print to the console
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Find information about the study's overview, requirements and tasks.
You can edit the face (works better on your computer) & set it to your robot (works better on your phone).
Privately talk to your Robot.
Report how you are feeling today.
How to get in contact with the research team


The Power of Flexibility
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We know the brain can get into its downtime state very quickly, and the education research suggests just a few minutes — five
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Jadedly swankily overcast yikes to put since conscientiously goldfinch avariciously and dear less majestically across far some power
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You can’t connect the dots looking forward; you can only connect them looking backward. So you have to trust that the dots will someho
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Mong emphatic normal cowered busted athletically some noticeably while and inside near towards unexpected much some off up diligently much k


Returns information about the last resize operation for the specified cluster. If no resize operation has ever been initiated for the specified cluster, a HTTP 404 error is returned. If a resize operation was initiated and completed, the status of the resize remains as SUCCEEDED until the next resize.
A resize operation can be requested using modify-cluster and specifying a different number or type of nodes for the cluster.
See also: AWS API Documentation
describe-resize
--cluster-identifier <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]
The unique identifier of a cluster whose resize progress you are requesting. This parameter is case-sensitive.
By default, resize operations for all clusters defined for an AWS account are returned.
--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI values will override the JSON-provided values.
--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.
This example describes the latest resize of a cluster. The request was for 3 nodes of type dw.hs1.8xlarge.
Command:
aws redshift describe-resize --cluster-identifier mycluster
Result:
{
"Status": "NONE",
"TargetClusterType": "multi-node",
"TargetNodeType": "dw.hs1.8xlarge",
"ResponseMetadata": {
"RequestId": "9f52b0b4-7733-11e2-aa9b-318b2909bd27"
},
"TargetNumberOfNodes": "3"
}
TargetNodeType -> (string)
The node type that the cluster will have after the resize operation is complete.
TargetNumberOfNodes -> (integer)
The number of nodes that the cluster will have after the resize operation is complete.
TargetClusterType -> (string)
The cluster type after the resize operation is complete.
Valid Values: multi-node | single-node
Status -> (string)
The status of the resize operation.
Valid Values: NONE | IN_PROGRESS | FAILED | SUCCEEDED
ImportTablesCompleted -> (list)
The names of tables that have been completely imported .
Valid Values: List of table names.
(string)
ImportTablesInProgress -> (list)
The names of tables that are being currently imported.
Valid Values: List of table names.
(string)
ImportTablesNotStarted -> (list)
The names of tables that have not been yet imported.
Valid Values: List of table names
(string)
AvgResizeRateInMegaBytesPerSecond -> (double)
The average rate of the resize operation over the last few minutes, measured in megabytes per second. After the resize operation completes, this value shows the average rate of the entire resize operation.
TotalResizeDataInMegaBytes -> (long)
The estimated total amount of data, in megabytes, on the cluster before the resize operation began.
ProgressInMegaBytes -> (long)
While the resize operation is in progress, this value shows the current amount of data, in megabytes, that has been processed so far. When the resize operation is complete, this value shows the total amount of data, in megabytes, on the cluster, which may be more or less than TotalResizeDataInMegaBytes (the estimated total amount of data before resize).
ElapsedTimeInSeconds -> (long)
The amount of seconds that have elapsed since the resize operation began. After the resize operation completes, this value shows the total actual time, in seconds, for the resize operation.
EstimatedTimeToCompletionInSeconds -> (long)
The estimated time remaining, in seconds, until the resize operation is complete. This value is calculated based on the average resize rate and the estimated amount of data remaining to be processed. Once the resize operation is complete, this value will be 0.


When using WebSockets, connect with Transport Layer Security (TLS).
Just as TLS protects and encrypts the communication tunnel in HTTP, it can encrypt a WebSockets tunnel to protect against eavesdropping and man-in-the-middle attacks. (By default, the communication tunnel with the WebSocket protocol is not encrypted.)
Use this guideline for applications that employ the WebSocket protocol and need to protect sensitive data.
The WebSockets protocol specification is built on HTTP. With that in mind:
Below is a client-side code connection to a WebSocket server. The connection uses standard ws over standard, unencrypted HTTP. An intruder who has access to the communication stream over the network could easily intercept the communication.
Client Connection:
$("#open").click (function (evt) { evt.preventDefault(); var host = ‘example.com’; var port = ‘8887’; var uri = ‘very_private’; ws = new WebSocket("ws://” + host + “:” + port + “/” + uri ); ws.onmessage = function(evt) {alert("Non encrypted message has been received”)}; ws.onclose = function(evt) { alert("Non encrypted connection is closed"); }; ws.onopen = function(evt) { alert(“Non encrypted connection has opened”) }; });
Below is a client-side code connection to a WebSocket server using wss, which takes advantage of TLS over HTTP port 443. This change makes it much more difficult for an intruder to intercept the communication tunnel.
Client Connection:
$("#open").click(function(evt) { evt.preventDefault(); var host = ‘example.com’; var port = ‘8887’; var uri = ‘very_private’; ws = new WebSocket("wss://” + host + “:” + port + “/” + uri ); ws.onmessage = function(evt) {alert("TLS message has been received”)}; ws.onclose = function(evt) { alert("TLS connection is closed"); }; ws.onopen = function(evt) { alert(“TLS connection has opened”) }; });
When the handshake is performed using wss, you’ll see the typical handshake for TLS over port 443 to establish the secure connection.
Below is a partial communication stream seen when connecting to a WebSocket testing server at http://www.websocket.org/echo.html, and the view of the stream using a web debugging tool.
HTTP/1.1 200 Connection Established FiddlerGateway: Direct StartTime: 22:24:09.760 Connection: close Encrypted HTTPS traffic flows through this CONNECT tunnel. HTTPS Decryption is enabled in Fiddler, so decrypted sessions running in this tunnel will be shown in the Web Sessions list. Secure Protocol: Tls Cipher: Rc4 128bits Hash Algorithm: Sha1 160bits Key Exchange: RsaKeyX 2048bits == Server Certificate ========== [Subject] CN=*.websocket.org, OU=Domain Control Validated, O=*.websocket.org [Issuer] SERIALNUMBER=07969287, CN=Go Daddy Secure Certification Authority, OU=http://certificates.godaddy.com/repository, O="GoDaddy.com, Inc.", L=Scottsdale, S=Arizona, C=US [Serial Number] 27F9ADF2DB9921 [Not Before] 10/19/2012 2:43:55 AM [Not After] 10/28/2014 5:06:24 PM [Thumbprint] 8A95FEB7BE9825FBE3F4F50A6662DC880764C876


alex cicanProduct Designer
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In LcmGcf you practice solving LCMs and GCFs of two or three numbers. LCM is the Least Common Multiple and GCF is the Greatest Common Factor.
You setup the characteristica of the quiz - if it should be timed, what kind of operations you'd like, sizes of the operands and the like. LcmGcf will then display a LCM or a GCF for you to solve. LcmGcf keeps tracks of your successes and failures.
The Last 10 scores can be exported to Memo Pad.
Installation of LcmGcf is like installing any other Palm OS program:
When the synchronization is done you will have a 'LcmGcf' icon in the Unfiled category on your Palm PDA. Feel free to move LcmGcf to another category.
When starting LcmGcf you will be presented with a short menu. Select Preferences to set the characteristicas of the quiz. Select Beam Preferences to beam the preferences settings to another device. Select Show Scores to view the Last 10 Scores. Select Clear Scores to clear the Last 10 Scores list - you will be asked to confirm your action. Select Start Quiz to start the quiz.
The quiz is setup using the controls on the Preferences screen. First select the Quiz Type. You can choose between LCM, GCF or Random. In LCM mode you have to find the Least Common Multiple of two or three numbers. In GCF mode you have to find the Greatest Common Factor of two or three numbers. In Random mode the handheld will randomly determine the quiz for you to take.
Select how many numbers will be involved in the quiz - 2 or 3. Select the max size of each operand.
Select what kind of Scoring should be used. If you select First Guess then a point will only be scored if the first guess is correct. If Correct Guess is chosen, then a point will be scored whenever a correct answer is given. The former is more restrictive.
Select if the quiz should be timed. A blank Timed field or a value of 0 disable the timer. Other values enable the timer for that many minutes.
When running the quiz you will get a display looking like a simple calculator. The buttons on the right, from top to bottom are: backspace, clear all, help and OK (submit the answer). In the upper right corner you have a button to end the current quiz. In a timed game the time remaining will be shown between the 0 and OK buttons (not shown). When you press a button the time seems halt; but fear not - the timer is counted down in the background and as soon as you release the button the timer will catch up.
During the quiz you can get a bit of help on the current problem. Press the Help button (the questionmark button). A short descriptive text of what to solve is shown and also examples of quiz types are shown. In the upper left corner a count of how many times the help was used is shown.
When the quiz is over you wil get a chance to enter your name for the Last 10 Scores list. Select Save Score to save the score. Select Don't Save Score to go to the main form without saving the score.
The Last 10 Scores list lists the last 10 scores (whoah!) The list is not to be taken as a High Score list. Tap an entry to view the details for that entry. Select Export to export the list to Memo Pad.
A detailed view of a randomly chosen entry. This view contains scores, rounds and the selected preferences for the quiz. This is more less how each entry in the Export list will look like.


{% extends "account/base.html" %} {% load i18n %} {% load account socialaccount %} {% block content %}
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@* * Copyright 2021 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import config.ApplicationConfig @import actions.requests.CcaWrappedRequestHelper._ @(backUri: Option[String], backLinkClass: String = "govuk-back-link")(implicit request: Request[_], config: ApplicationConfig, messages: Messages) @homeLink = @{ config.dashboardUrl("home") } @signOutLink = @{ config.dashboardUrl("sign-out") } @yourDetailsLink = @{ config.dashboardUrl("your-details") } @noAccountLinks = {


Toronto, Seattle mayors make friendly wager over outcome of MLS Cup Final
by The Canadian Press, StaffTORONTO -- The mayors of Toronto and Seattle are making a friendly wager as their cities' Major League Soccer teams prepare to face off in the league's championship match this weekend.
Toronto FC and the Seattle Sounders are set to compete in the MLS Cup final on Sunday.
Toronto Mayor John Tory says if Seattle wins, he'll wear a Sounders scarf for a full day and light the Toronto sign green next Friday.
He'll also send a basket of Toronto-made products and a record each by Toronto-area artists Drake, The Weeknd and Blue Rodeo to his counterpart in the Emerald City.
Seattle Mayor Jenny Durkan says if Toronto prevails, she'll send Tory three albums by artists from her area, including Brandi Carlile, TacoCat and Nirvana.
Durkan says she'll also give Tory a basket of Seattle-made goods, wear a Toronto FC scarf for a full day and light city hall in red next Friday.
"Toronto is proud of our Toronto FC and ready to cheer them on to victory on Sunday. Our Reds are determined to hoist the MLS Cup once again to help complete a year of championships in Toronto," Tory said in a statement.
He said the Toronto sign outside city hall will be lit in red on Sunday to support the team.
"Seattle is all in for our Sounders as they get ready to win back the MLS Cup at CenturyLink," Durkan responded.
"Nearly 70,000 fans are going to be loud all game long, and we are going to show why Seattle is North America's best soccer city."
Both mayors have also pledged to donate $300 to a local non-profit organization for each goal scored by their respective teams: Tory has picked United Way Greater Toronto and Durkan said she'll give to United Way of King County.
This report by The Canadian Press was first published Nov. 8, 2019.


| Package | Description |
|---|---|
| com.opengamma.strata.loader.csv |
Loader that reads market data from CSV files.
|
| com.opengamma.strata.market.curve |
Definitions of curves.
|
| com.opengamma.strata.measure.curve |
Integration code that allows strata-calc to use and calibrate curves.
|
| com.opengamma.strata.measure.rate |
Base package for calculation functions.
|
| Modifier and Type | Method and Description |
|---|---|
static List<CurveGroup> |
RatesCurvesCsvLoader.load(LocalDate marketDataDate,
ResourceLocator groupsResource,
ResourceLocator settingsResource,
Collection<ResourceLocator> curvesResources)
Loads one or more CSV format curve files for a specific date.
|
static ListMultimap<LocalDate,CurveGroup> |
RatesCurvesCsvLoader.loadAllDates(ResourceLocator groupsResource,
ResourceLocator settingsResource,
Collection<ResourceLocator> curvesResources)
Loads one or more CSV format curve files for all available dates.
|
| Modifier and Type | Method and Description |
|---|---|
CurveGroup |
CurveGroup.Builder.build() |
static CurveGroup |
CurveGroup.of(CurveGroupName name,
Map<Currency,Curve> discountCurves,
Map<Index,Curve> forwardCurves)
Returns a curve group containing the specified curves.
|
static CurveGroup |
CurveGroup.ofCurves(CurveGroupDefinition curveGroupDefinition,
Collection<? extends Curve> curves)
Creates a curve group using a curve group definition and a list of existing curves.
|
static CurveGroup |
CurveGroup.ofCurves(CurveGroupDefinition curveGroupDefinition,
Curve... curves)
Creates a curve group using a curve group definition and some existing curves.
|
| Modifier and Type | Method and Description |
|---|---|
Class<? extends CurveGroup> |
CurveGroup.Meta.beanType() |
Class<CurveGroup> |
CurveGroupId.getMarketDataType() |
| Modifier and Type | Method and Description |
|---|---|
MarketDataBox<CurveGroup> |
CurveGroupMarketDataFunction.build(CurveGroupId id,
MarketDataConfig marketDataConfig,
ScenarioMarketData marketData,
ReferenceData refData) |
| Modifier and Type | Method and Description |
|---|---|
static RatesMarketDataLookup |
RatesMarketDataLookup.of(CurveGroup curveGroup)
Obtains an instance based on a curve group.
|
Copyright 2009-Present by OpenGamma Inc. and individual contributors
Apache v2 licensed
Additional documentation can be found at opengamma.github.io/StrataDocs.


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W3 Collaboration - Summer 2019 Meeting
Storyboarding of Demo
Fortran -> GrFN <-> SemanticModels.jl
↓
Galois
- GrFN: Representation of the predicates in the conditionals, can it be better exposed?
- Lambda functions not being captured explicitly.
Demo Targets
- An ABM model of SIR/SEIR.
- Compare to ODEs?
- Sources of data
- Paper scraping
- Code translation
- Picture translation
Structured Knowledge Layer
- Embedding domain level knowledge in the SKL.
- Are we storing everything we need to store? What else might we store? How should we store it?
- Because dimensional analysis is algebraic, there are good ways to reason about units, and expressions about units.


Not Expecting Charles Adamu to Put up Too Much of a Challenge: Vijender Singh
Gearing up for his 12th professional bout in four years, Vijender Singh says he's is content with his progress in the circuit.
Gearing up for his 12th professional bout in four years, Indian boxing star Vijender Singh on Thursday said he is content with his progress in the circuit despite the fight schedule not being particularly busy.
The 34-year-old, who is undefeated so far, will square off against Ghana’s two-time former Commonwealth super middle-weight (76kg) champion Charles Adamu in Dubai on Friday.
Adamu is eight years older to him.
“I don’t expect him to put up too much of a challenge because I have noticed he is slower than me. So, despite his experience, I think I will have the edge,” Vijender told PTI from Dubai on the eve of the 10-round clash.
“So I am relaxed, nothing to worry there,” he added.
Adamu comes into the contest with an experience of 47 bouts, of which he has won 33 (26 knockouts). The Ghanian is also an Olympian and won a bronze medal for his country in the 1998 Commonwealth Games in Kuala Lumpur.
Given that he wasn’t particularly worried about how things might pan out on Friday, Vijender spoke of his future plans.
“I will probably be fighting in India next and people can expect that to be a big one. Obviously I can’t give out the full details for now,” he said.
His most recent fight was in July, when he made his debut in the USA after being signed by Hall of Famer Bob Arum’s Top Rank Promotions. He didn’t compete at all in 2018 and his last appearance in front of home fans was back in December 2017 in Jaipur.
“Once in five-six months suits me just fine because I also need to spend time with my family. It’s already been two months since I have been with my wife and children and it is difficult for me to manage beyond that,” said the former Olympic bronze-medallist.
The six-footer from Haryana also said that he would be fighting in the US too but before all that is Friday’s showdown, the one for which he has prepared by sparring a little bit more than usual.
“I have actually taken quite a beating during those sessions. Hopefully, that would mean lesser work when I compete because I will be already battle-hardened,” he quipped.
For breaking news and live news updates, like us on Facebook or follow us on Twitter and Instagram. Read more on Latest News on India.com.
Story Timeline
- 22 Nov 2019 Not Expecting Charles Adamu to Put up Too Much of a Challenge: Vijender Singh
- 18 Nov 2019 Commonwealth Games Champ Shreyasi Singh Wins National Title in Women’s Trap Event...
- 18 Nov 2019 Vijender Singh to Take on Former Commonwealth Champion in Dubai Showdown
- 15 Nov 2019 There's No Question About Hosting 2026 Commonwealth Games: IOA President Narinder Batra...