module Useri:sig
..end
React
.
Useri
gathers user input as React
signals and events from
a single rendering surface.
Open the module to use it, this defines only modules in your scope.
Note. Before Useri.App.init
is called all signals hold invalid data.
Caveat. Do not expect to be able to fully exploit the possibilities and flexibility of the platforms underlying the backends. This library is a simple abstraction library and thus remains limited by design.
Release %%VERSION%% — %%MAINTAINER%%
module Time:sig
..end
module Surface:sig
..end
module Mouse:sig
..end
module Touch:sig
..end
module Key:sig
..end
module Text:sig
..end
module Drop:sig
..end
module Human:sig
..end
module App:sig
..end
This minimal example can be used on both synchronous and asynchronous backends.
A good way of managing side-effects at the boundaries of your functional reactive system is to use a cooperative concurency library and convert event occurences and signal changes to yielding futures/threads (to avoid the problem of forbidden recursive primitive feedback) and convert futures/threads to a primitive event with a single occurence.
You will need however need to cooperate with Useri
's event
loop and give it a high priority as the ability to interact
should never take over a long running computation.
The following code shows how to do that with Lwt and Fut
The Useri.Time
and Useri.Surface
modules provide support for coordinating
input, animation and rendering. We can distinguish two patterns for
rendering:
Useri.Surface.refresh
event, in this step you can
sample signals needed for rendering (as long as they do not
depend on Useri.Surface.refresh
).Useri.Surface.refresh
occurences simply generate a task that is
run outside React's update step, this means that the signals
needed for rendering can be safely sampled using React.S.value
for rendering data.Useri.Surface.refresh
event. It is important to use this event for the following reasons:
Useri.Surface.raster_size
changes.Useri.Surface.refresh
:
E.never
) you need steady refreshing,
use Useri.Surface.steady_refresh
.Useri.Surface.refresh
occurences are generated
immediately after the following signals are created and updated:
Useri.Time.unit
, for animations with a known time span, returns
a signal increasing from 0.
to 1.
during that time span.Useri.Time.count
, for animations with an unknown time span, returns
a signal monotically increasing from 0.
to the time until a specified
event occurs.E.select
them and register the resulting event with
Useri.Surface.set_refresher
.


Log
Bulma
Filename
Size
Modify time
Owner
Permission
Type
filename
Size
Modify time
Owner
Permission
Type


Text Matching API
Analytics Zoo provides a pre-defined KNRM model that can be used for text matching (e.g. question answering). More text matching models will be supported in the future.
Highlights
- Easy-to-use Keras-Style defined model which provides compile and fit methods for training. Alternatively, it could be fed into NNFrames or BigDL Optimizer.
- The model can be used for both ranking and classification tasks.
Build a KNRM Model
Kernel-pooling Neural Ranking Model with RBF kernel. See here for more details.
You can call the following API in Scala and Python respectively to create a KNRM
with pre-trained GloVe word embeddings.
Scala
val knrm = KNRM(text1Length, text2Length, embeddingFile, wordIndex = null, trainEmbed = true, kernelNum = 21, sigma = 0.1, exactSigma = 0.001, targetMode = "ranking")
text1Length
: Sequence length of text1 (query).text2Length
: Sequence length of text2 (doc).embeddingFile
: The path to the word embedding file. Currently only glove.6B.50d.txt, glove.6B.100d.txt, glove.6B.200d.txt, glove.6B.300d.txt, glove.42B.300d.txt, glove.840B.300d.txt are supported. You can download from here.wordIndex
: Map of word (String) and its corresponding index (integer). The index is supposed to start from 1 with 0 reserved for unknown words. During the prediction, if you have words that are not in the wordIndex for the training, you can map them to index 0. Default is null. In this case, all the words in the embeddingFile will be taken into account and you can callWordEmbedding.getWordIndex(embeddingFile)
to retrieve the map.trainEmbed
: Boolean. Whether to train the embedding layer or not. Default is true.kernelNum
: Integer > 1. The number of kernels to use. Default is 21.sigma
: Double. Defines the kernel width, or the range of its softTF count. Default is 0.1.exactSigma
: Double. The sigma used for the kernel that harvests exact matches in the case where RBF mu=1.0. Default is 0.001.targetMode
: String. The target mode of the model. Either 'ranking' or 'classification'. For ranking, the output will be the relevance score between text1 and text2 and you are recommended to use 'rank_hinge' as loss for pairwise training. For classification, the last layer will be sigmoid and the output will be the probability between 0 and 1 indicating whether text1 is related to text2 and you are recommended to use 'binary_crossentropy' as loss for binary classification. Default mode is 'ranking'.
Python
knrm = KNRM(text1_length, text2_length, embedding_file, word_index=None, train_embed=True, kernel_num=21, sigma=0.1, exact_sigma=0.001, target_mode="ranking")
text1_length
: Sequence length of text1 (query).text2_length
: Sequence length of text2 (doc).embedding_file
: The path to the word embedding file. Currently only glove.6B.50d.txt, glove.6B.100d.txt, glove.6B.200d.txt, glove.6B.300d.txt, glove.42B.300d.txt, glove.840B.300d.txt are supported. You can download from here.word_index
: Dictionary of word (string) and its corresponding index (int). The index is supposed to start from 1 with 0 reserved for unknown words. During the prediction, if you have words that are not in the wordIndex for the training, you can map them to index 0. Default is None. In this case, all the words in the embedding_file will be taken into account and you can callWordEmbedding.get_word_index(embedding_file)
to retrieve the dictionary.train_embed
: Boolean. Whether to train the embedding layer or not. Default is True.kernel_num
: Int > 1. The number of kernels to use. Default is 21.sigma
: Float. Defines the kernel width, or the range of its softTF count. Default is 0.1.exact_sigma
: Float. The sigma used for the kernel that harvests exact matches in the case where RBF mu=1.0. Default is 0.001.target_mode
: String. The target mode of the model. Either 'ranking' or 'classification'. For ranking, the output will be the relevance score between text1 and text2 and you are recommended to use 'rank_hinge' as loss for pairwise training. For classification, the last layer will be sigmoid and the output will be the probability between 0 and 1 indicating whether text1 is related to text2 and you are recommended to use 'binary_crossentropy' as loss for binary classification. Default mode is 'ranking'.
Pairwise training
For ranking, the model can be trained pairwisely with the following steps:
- Read train relations. See here for more details.
- Read text1 and text2 corpus as TextSet. See here for more details.
- Preprocess text1 and text2 corpus. See here for more details.
- Generate all relation pairs from train relations. Each pair is made up of a positive relation and a negative one of the same id1.
During the training process, we intend to optimize the margin loss within each pair.
We provide the following API to generate a
TextSet
for pairwise training:
Scala
val trainSet = TextSet.fromRelationPairs(relations, corpus1, corpus2)
relations
: RDD or array of Relation.corpus1
: TextSet that contains all id1 in relations.corpus2
: TextSet that contains all id2 in relations.- For corpus1 and corpus2 respectively, each text must have been transformed to indices of the same length by calling tokenize, word2idx and shapeSequence in order.
- If relations is an RDD, then corpus1 and corpus2 must both be DistributedTextSet. If relations is an array, then corpus1 and corpus2 must both be LocalTextSet.
Python
train_set = TextSet.from_relation_pairs(relations, corpus1, corpus2)
relations
: RDD or list of Relation.corpus1
: TextSet that contains all id1 in relations.corpus2
: TextSet that contains all id2 in relations.- For corpus1 and corpus2 respectively, each text must have been transformed to indices of the same length by calling tokenize, word2idx and shape_sequence in order.
- If relations is an RDD, then corpus1 and corpus2 must both be DistributedTextSet. If relations is a list, then corpus1 and corpus2 must both be LocalTextSet.
Call compile and fit to train the model:
Scala
val model = Sequential().add(TimeDistributed(knrm, inputShape = Shape(2, text1Length + text2Length)))
model.compile(optimizer = new SGD(learningRate), loss = RankHinge())
model.fit(trainSet, batchSize, nbEpoch)
Python
model = Sequential().add(TimeDistributed(knrm, input_shape=(2, text1Length + text2Length)))
model.compile(optimizer=SGD(learning_rate), loss='rank_hinge')
model.fit(train_set, batch_size, nb_epoch)
Listwise evaluation
Given text1 and a list of text2 candidates, we provide metrics NDCG and MAP to listwisely evaluate a ranking model with the following steps:
- Read validation relations. See here for more details.
- Read text1 and text2 corpus as TextSet. See here for more details.
- Preprocess text1 and text2 corpus same as the training phase. See here for more details.
- Generate all relation lists from validation relations. Each list is made up of one id1 and all id2 combined with id1.
We provide the following API to generate a
TextSet
for listwise evaluation:
Scala
val validateSet = TextSet.fromRelationLists(relations, corpus1, corpus2)
relations
: RDD or array of Relation.corpus1
: TextSet that contains all id1 in relations.corpus2
: TextSet that contains all id2 in relations.- For corpus1 and corpus2 respectively, each text must have been transformed to indices of the same length as during the training process by calling tokenize, word2idx and shapeSequence in order.
- If relations is an RDD, then corpus1 and corpus2 must both be DistributedTextSet. If relations is an array, then corpus1 and corpus2 must both be LocalTextSet.
Python
validate_set = TextSet.from_relation_lists(relations, corpus1, corpus2)
relations
: RDD or list of Relation.corpus1
: TextSet that contains all id1 in relations.corpus2
: TextSet that contains all id2 in relations.- For corpus1 and corpus2 respectively, each text must have been transformed to indices of the same length as during the training process by calling tokenize, word2idx and shape_sequence in order.
- If relations is an RDD, then corpus1 and corpus2 must both be DistributedTextSet. If relations is a list, then corpus1 and corpus2 must both be LocalTextSet.
Call evaluateNDCG or evaluateMAP to evaluate the model:
Scala
knrm.evaluateNDCG(validateSet, k, threshold = 0.0)
knrm.evaluateMAP(validateSet, threshold = 0.0)
Python
knrm.evaluate_ndcg(validate_set, k, threshold=0.0)
knrm.evaluate_map(validate_set, threshold=0.0)
k
: Positive integer. Rank position in NDCG.threshold
: If label > threshold, then it will be considered as a positive record. Default is 0.0.
Examples
We provide an example to train and evaluate a KNRM model on WikiQA dataset for ranking.
See here for the Scala example.
See here for the Python example.


Super Trolls..
Posted:
Sat Aug 30, 2008 5:49 am
by kuba
Everyonce in a while some creeps literally charge at me and one hit me no matter my hp.. these are the same creeps that normally do 1/6th my hp in damage.. bug or just creeps on roids?
Re: Super Trolls..
Posted:
Sat Aug 30, 2008 7:19 am
by Karl G.
Creeps on roids
If you go to the East, super baddies spawn there.
Re: Super Trolls..
Posted:
Sat Aug 30, 2008 10:45 am
by lawn gnome
the spawn out there gives like 1k+ exp per kill...but they have insane hp.
and yeah, they literally charge at you too haha.
Its not a bug.


Shubham
Jha
Facebook:-Shubham Jha
Sunil Dutt
Maurya
Facebook:-Sunil Maurya
Abhishek
Rajguru
Facebook:-Abhishek Rajguru
Asif
Khursheed
Facebook:-Asif Khursheed
SouravKumarFacebook:-Sourav Kumar |
Facebook:-Shubham Jha
Facebook:-Sunil Maurya
Facebook:-Abhishek Rajguru
Facebook:-Asif Khursheed
SouravKumarFacebook:-Sourav Kumar |


| Company Name | Ticker | Current Price | 12 Month Range | Market Cap | ||||||
| Apache Corporation | APA | $13.92 | $3.8 - $33.77 | 5,254.5 | ||||||
| Change time frame of the share pricing | ||||||||||
| Key Financials¹ | ||||||||||
| For the Fiscal Period Ending | Dec-31-2016A | Dec-31-2017A | Dec-31-2018A | Dec-31-2019A | Sep-30-2020A | Dec-31-2020E | Dec-31-2021E | Dec-31-2022E | ||
| Total Revenue | 5,238.0 | 5,792.0 | 7,216.0 | 6,213.0 | 4,675.0 | 4,020.6 | 4,327.79 | 4,598.84 | ||
| Growth Over Prior Year | (17.6%) | 10.6% | 24.6% | (13.9%) | (26.0%) | (37.29%) | 7.64% | 6.26% | ||
| Gross Profit | 3,609.0 | 4,363.0 | 5,628.0 | 4,630.0 | 3,220.0 | - | - | - | ||
| Margin % | 68.9% | 75.3% | 78.0% | 74.5% | 68.9% | 62.30% | 69.00% | - | ||
| EBITDA | 2,386.0 | 3,371.0 | 4,676.0 | 3,796.0 | 2,613.0 | 2,111.34 | 2,500.37 | 2,759.08 | ||
| Margin % | 45.6% | 58.2% | 64.8% | 61.1% | 55.9% | 52.51% | 57.77% | 60.00% | ||
| EBIT | (1,087.0) | 715.0 | 1,611.0 | (1,243.0) | (1,862.0) | (4,587.19) | 633.75 | 792.05 | ||
| Margin % | (20.8%) | 12.3% | 22.3% | (20.0%) | (39.8%) | - | 14.64% | 17.22% | ||
| Earnings from Cont. Ops. | (1,240.0) | 1,503.0 | 286.0 | (3,682.0) | (8,206.0) | - | - | - | ||
| Margin % | (23.7%) | 25.9% | 4.0% | (59.3%) | (175.5%) | - | - | - | ||
| Net Income | (1,405.0) | 1,304.0 | 40.0 | (3,553.0) | (7,846.0) | (434.92) | 9.27 | 231.96 | ||
| Margin % | (26.8%) | 22.5% | 0.6% | (57.2%) | (167.8%) | (10.82%) | 0.21% | 5.04% | ||
| Diluted EPS Excl. Extra Items³ | (3.62) | 3.41 | 0.1 | (9.43) | (20.78) | (1.23) | 0.02 | 0.53 | ||
| Growth Over Prior Year | NM | NM | (96.9%) | NM | NM | - | - | 2,346.27% | ||
| Current Capitalization (Millions of USD) | ||||||||||
| Currency | USD | |||||||||
| Share Price | $13.92 | |||||||||
| Shares Out. | 377.5 | |||||||||
| Market Capitalization | 5,254.5 | |||||||||
| - Cash & Short Term Investments | 162.0 | |||||||||
| + Total Debt | 9,044.0 | |||||||||
| + Pref. Equity | 179.0 | |||||||||
| + Total Minority Interest | 1,604.0 | |||||||||
| = Total Enterprise Value (TEV) | 15,919.5 | |||||||||
| Book Value of Common Equity | (1,641.0) | |||||||||
| + Pref. Equity | 179.0 | |||||||||
| + Total Minority Interest | 1,604.0 | |||||||||
| + Total Debt | 9,044.0 | |||||||||
| = Total Capital | 9,186.0 | |||||||||
| Valuation Multiples based on Current Capitalization | ||||||||||
| For the Fiscal Period Ending |
12 months Dec-31-2019A |
LTM 12 months Sep-30-2020A |
12 months Dec-31-2020E |
12 months Dec-31-2021E |
12 months Dec-31-2022E |
|||||
| TEV/Total Revenue | 2.5x | 3.4x | 3.86x | 3.59x | 3.38x | |||||
| TEV/EBITDA | 4.1x | 6.1x | 7.36x | 6.21x | 5.63x | |||||
| TEV/EBIT | NM | NM | - | 24.51x | 19.61x | |||||
| P/Diluted EPS Before Extra | NM | NM | - | - | 24.24x | |||||
| P/BV | 1.6x | NM | - | - | - | |||||
| Price/Tang BV | 1.6x | NM | - | - | - | |||||


Angular Tag Select is an angular component library that allows your users to select 0 to many items from a list in a tag-like manner. The predefined styles are extremely limited so that they can be overwritten by the developer in the parent component where this is used. There is also an option to allow the user to add a tag dynamically, if that's something that you want them to do.
Here is the "how-to" of implementing this in your project:
tagMapping
: This is an object with two attributes,
value
and
display
. The value of the those attributes should be the names of the fields for the objects that the people will be selecting.
So let's say your list of objects that you want the user to select has an
id
and a
name
(with possibly other attributes as well). Your tag mapping object should look like this:
cosnt tagMapping = { value: 'id', display: 'name' }
A list will be built inside the component that shows the possible tags and the selected tags using this mapping.
tagsToSelect
: The master list of items the user will be able to select. It doesn't matter what attributes the objects in the array
have, as long as you pass in a
tagMapping
object that tells the component which attributes are the important ones.
tagItemIdentifierPlural
: A string (plural) to describe the tags. This means if you pass in nothing, the component will say "Availble Tags" and
"Selected Tags". But if you pass in "Classes", it would say "Available Classes" and "Selected Classes".
tagsSelectedAtStart
: This is an array of the same elements that you passed in for
tagsToSelect
. These are items that should start out as selected when the component is loaded. It uses the same
tagMapping
object to find which ones should be selected.
iconClasses
: An object with four attributes:
iconPrefix
,
checkedIconClass
,
uncheckedIconClass
,
dynamicallyAddIconClass
. They default to the following:
const iconClasses = { iconPrefix: 'fa', checkedIconClass: 'fa-check-square-o', uncheckedIconClass: 'fa-square-o', dynamicallyAddIconClass: 'fa-plus' }
The default is to use FontAwesome, but you can use whatever you're using in your app, by passing in the correct icon class names.
canDynamicallyAdd
: A boolean value that determines if the end user can dynamically add a new tag. Defaults to false.
selectedTagsUpdated
: This output emits a list of items that have been selected. The array is of objects with two attributes,
id
and
value
. Use this list to determine what the user has selected.
dynamicallyAddNewTag
: This output emits a string value of the tag that the user wants to dynamically add. Nothing is actually going to be
done in the component; you need to add the new item to your list in whatever way you need to. Add it to the
tagsToSelect
input array, and to the
tagsSelectedAtStart
array and the selection will be automatically updated. Here's an example of how you can add it to the test:
// Parent component, parent.component.ts addDynamicTag(newTagDisplay: string) { this.possibleTags.push({ id: this.possibleTags.length + 1, description: newTagDisplay }); // this.selectedTags is updated when the component emits an array on selectedTagsUpdated this.startingTags = [...this.selectedTags, { id: this.possibleTags.length, description: newTagDisplay }]; }
Obviously you may need to call a database function that adds the new item and sets its ID or whatever needs to be done. The component itself, however, will just display the possible tags and the selected tags.
For now, overwrite the styles in this component by adding style rules in your app that overwrite the styles on the elements
of this component. There are two
ul
s to style:
.selected-tag-list
and
.possible-tag-list
. Look in
src/app/tag-select/tag-select/tag-select.component.scss
to see the styles that are used by default.
You can overwrite the styles like this:
::ng-deep .selected-tag-list li { border-color: red !important; }
Not ideal, I know, to throw
!important
around, and on some rules you may not have to, but you will to change border colors and margins, etc. that are already
set.


The Long Division exercise produces long division problems of varying difficulty. A long division problem lays out the working that is necessary to reach the answer.
A problem is defined by its divisor and dividend. From these the answer in the form of a quotient and a remainder can be calculated.
The choice of divisor and dividend is given by the difficulty level. The ranges of values are:
| Difficulty | Divisor | Dividend |
|---|---|---|
| Easiest | 11->13 | 14->19 |
| Easy | 14->19 | 101->999 |
| Medium | 21->39 | 101->999 |
| Hard | 41->99 | 1001->9999 |
| Hardest | 51->499 | 10001->99999 |
Note: The Easiest difficulty level introduces the concept of the remainder. The quotient will always be 1.
It is possible to show a table of multiplication equations for the divisor where the multiplier value is from 2 to 9. These hints allow the student to gauge the largest multiple of the divisor that is smaller than the current dividend.
The number of problems is fixed by difficulty level and there is only a risk of duplication at the Easiest level (which has only 18 unique problems).


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java.lang.Object java.util.AbstractCollection<E> java.util.AbstractSet<T> jpaul.DataStructs.ArraySet<T>
public class ArraySet<T>
ArraySet
is an immutable, array-backed set. It
consumes minimal memory; very good for small sets.
| Constructor Summary | |
|---|---|
ArraySet(java.util.Collection<T> coll)
Creates an ArraySet containing the distinct
elements from the colection coll . |
|
ArraySet(java.util.Collection<T> coll,
boolean collHasDistinctElements)
Powerful and unsafe constructor: creates an ArraySet containing the distinct elements present
in the colection coll . |
|
ArraySet(java.util.Set<T> set)
Creates an ArraySet containing the elements
present in the set set . |
|
ArraySet(T... ts)
Creates an ArraySet with the elements given as a
variable-length list of arguments (instead of a collection). |
| Method Summary | |
|---|---|
boolean |
contains(java.lang.Object o)
|
java.util.Iterator<T> |
iterator()
|
int |
size()
|
| Methods inherited from class java.util.AbstractSet |
|---|
equals, hashCode, removeAll |
| Methods inherited from class java.util.AbstractCollection |
|---|
add, addAll, clear, containsAll, isEmpty, remove, retainAll, toArray, toArray, toString |
| Methods inherited from class java.lang.Object |
|---|
clone, finalize, getClass, notify, notifyAll, wait, wait, wait |
| Methods inherited from interface java.util.Set |
|---|
add, addAll, clear, containsAll, isEmpty, remove, retainAll, toArray, toArray |
| Constructor Detail |
|---|
public ArraySet(java.util.Set<T> set)
ArraySet
containing the elements
present in the set set
. The created
ArraySet
contains the elements of
set
at the point this constructor is invoked;
future changes to set
are not reflected by the
ArraySet
.
public ArraySet(java.util.Collection<T> coll)
ArraySet
containing the distinct
elements from the colection coll
.
coll
may contain duplicates, but only distinct
elements will appear in the created ArraySet
.
Future changes to coll
are not reflected by this
ArraySet
.
Note: This constructor is more general
than ArraySet(Set)
, which may lead to a little bit of
confusion: a set is also a collection, so both constructors
apply in certain cases. Semantically, whether you invoke one
constructor or the other, it is the same thing. Still, the
constructor that takes a set knows that the elements of the
set are unique (by the contract of a set); the constructor
that takes a collection has no such guarantee, so it needs to
avoid inserting equal elements to the constructed
ArraySet
. So, the constructor that takes a set
is faster; it's a classic example of using the type system to
speed-up the program execution.
public ArraySet(T... ts)
ArraySet
with the elements given as a
variable-length list of arguments (instead of a collection).
E.g., new ArraySet<T>(e1, e2, e3, e4)
is
equivalent to new ArraySet<T>(Arrays.asList(e1,
e2, e3, e4))
.
public ArraySet(java.util.Collection<T> coll, boolean collHasDistinctElements)
ArraySet
containing the distinct elements present
in the colection coll
. If the second parameter
collHasDistinctElements
is true
,
then this constructor assumes that coll
contains
only distinct elements and skips the costly step of
determining the unique elements from
coll
. This feature is unsafe and should
be used with maximal care!.
The created ArraySet
contains the elements of
coll
at the point this constructor is invoked;
future changes to coll
are not reflected by the
ArraySet
.
| Method Detail |
|---|
public boolean contains(java.lang.Object o)
contains
in interface java.util.Collection<T>
contains
in interface java.util.Set<T>
contains
in class java.util.AbstractCollection<T>
public java.util.Iterator<T> iterator()
iterator
in interface java.lang.Iterable<T>
iterator
in interface java.util.Collection<T>
iterator
in interface java.util.Set<T>
iterator
in class java.util.AbstractCollection<T>
public int size()
size
in interface java.util.Collection<T>
size
in interface java.util.Set<T>
size
in class java.util.AbstractCollection<T>
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Hot-keys on this page
n s m x c change column sorting
| Testing Reports | Coverage |
|---|---|
| Connectivity Report | 89% |
| CustomStyling Report | 100% |
| Deployment Report | 100% |
| Launcher Report | 100% |
| LoginManager Report | 100% |
| Maintenance Report | 93% |
| Scanner Report | 84% |
| SecondaryWindows Report | 100% |
| Settings Report | 91% |
| Troubleshooting Report | 94% |
No items found using the specified filter.
Below we will go over how we came about constructing these reports and what went into giving us the coverage described. We took
a whitebox approach to all of our testing so that we could eliminate any errors as we went along. As this was to be presented in the coming
weeks we wanted any glaring issues to be ironed out before then. The testing mainly revolved around code coverage using unit testing, boundary
value testing & path testing to ensure the correct operation was carried out for each respective method, value and boolean.
The application was designed to be flexible and expandable. This means that both the classes and methods within the programme are seperated out into
what function they offer. This allows for the construction of additional modules later on if desired.
When it came to testing the programme the logical option was to seperate out these files,classes and methods into units and test each one for their functionality.
Sometimes this couldn't be accomplished due to the nature of PyQt. To combat this we would construct mini windows in which seperate parts of the programme could be
displayed. We would then run our tests on those windows. Once those tests were run values were stored within the respective class and further tests could be used to
validate the data going in or out. An example of this is the LoginManager, passwords and intents are passed into the programme through the GUI and our unit tests
assert whether these are set to the appropriate values. By doing unit tests in this fashion we can ensure code coverage using different or incorrect values and see
if any errors are raised along the way.
An extension of the unit testing performed was boundary value testing. A lot of the application's inputs and outputs are generated within the programme itself so values
are either going to come out formatted correctly or throw an error. In some cases we have user's input for passwords, desired configs or submission descriptors. The bulk of these
have no bearing on the performance of the application and in most cases will just result in the user not able to connect to a device due to an incorrect password/address.
Despite all this we still needed to ensure that any value passed into these methods could be handled easily. By constructing different asserts within each test and through user
testing we were able to take note of any faults that may arise as a result of user error and put guards in place to ensure they don't happen. The result of that can be seen within
the reports above
As this is a network engineer's tool we needed to ensure that they're able to understand and use this tool without any issues or errors arising. To this end, we brought the application
into Agile networks and asked the engineers there to test the application and bring up any issues they had with it.


fun runTasks(groupId: String? = null): Unit
Manually run all pending tasks. Wendy takes care of running this periodically for you, but you can manually run tasks here.
Note: This will run all tasks even if you use WendyConfig.automaticallyRunTasks to enable/disable running of all the PendingTasks.
groupId
- Limit running of the tasks to only tasks of this specific group id.


FMDV RT-LAMP {border-style px;} #ffffff;} disease RT-PCR Asia samples virus Lane detection foot-and-mouth assay reverse National amplification px; {font-family â"ƒ RNA font-size isothermal sensitivity China double; limit loop-mediated transcription Disease Reference Science []. border-color border-width clinical conventional different indicated negative positive provided serotype solid; specificity vesicular {font-style {font-weight ÂµL (RT-LAMP) (Table DNA RT-PCR. Results SAT Takara bold containing courier; dilutions em; min, ng/mL primers pt;} reaction sequence swine


|
kelp-engine
|
#include <Time.h>
Static Public Member Functions | |
| static void | calc () |
| static void | calcEnd () |
| static void | delay (const float _t) |
Static Public Attributes | |
| static float | s_deltaT = 0.0f |
| static float | s_realT = 0.0f |
| static int | s_frameRate = 0 |
|
static |
|
static |
|
static |
|
static |
|
static |
|
static |


My first line goes here. Extra text
A second line here.
This is a bold piece of text
Italics
underline
This line is wrong


Public Types | |
Public Constants | |
| enum | ExceptionCode { INDEX_SIZE_ERR = 1, DOMSTRING_SIZE_ERR = 2, HIERARCHY_REQUEST_ERR = 3, WRONG_DOCUMENT_ERR = 4, INVALID_CHARACTER_ERR = 5, NO_DATA_ALLOWED_ERR = 6, NO_MODIFICATION_ALLOWED_ERR = 7, NOT_FOUND_ERR = 8, NOT_SUPPORTED_ERR = 9, INUSE_ATTRIBUTE_ERR = 10, INVALID_STATE_ERR = 11, SYNTAX_ERR = 12, INVALID_MODIFICATION_ERR = 13, NAMESPACE_ERR = 14, INVALID_ACCESS_ERR = 15, VALIDATION_ERR = 16, TYPE_MISMATCH_ERR = 17 } |
| ExceptionCode. More... | |
Public Member Functions | |
| const XMLCh * | getMessage () const |
Constructors | |
| DOMException () | |
| Default constructor for DOMException. | |
| DOMException (short code, short messageCode=0, MemoryManager *const memoryManager=XMLPlatformUtils::fgMemoryManager) | |
| Constructor which takes an error code and an optional message code. | |
| DOMException (const DOMException &other) | |
| Copy constructor. | |
Destructor. | |
| virtual | ~DOMException () |
| Destructor for DOMException. | |
Public Attributes | |
Public variables | |
| short | code |
| A code value, from the set defined by the ExceptionCode enum, indicating the type of error that occured. | |
| const XMLCh * | msg |
| A string value. | |
Protected Attributes | |
| MemoryManager * | fMemoryManager |
ExceptionCode.
INDEX_SIZE_ERR:
If index or size is negative, or greater than the allowed value.
DOMSTRING_SIZE_ERR:
If the specified range of text does not fit into a DOMString.
HIERARCHY_REQUEST_ERR:
If any node is inserted somewhere it doesn't belong.
WRONG_DOCUMENT_ERR:
If a node is used in a different document than the one that created it (that doesn't support it).
INVALID_CHARACTER_ERR:
If an invalid or illegal character is specified, such as in a name. See production 2 in the XML specification for the definition of a legal character, and production 5 for the definition of a legal name character.
NO_DATA_ALLOWED_ERR:
If data is specified for a node which does not support data.
NO_MODIFICATION_ALLOWED_ERR:
If an attempt is made to modify an object where modifications are not allowed.
NOT_FOUND_ERR:
If an attempt is made to reference a node in a context where it does not exist.
NOT_SUPPORTED_ERR:
If the implementation does not support the requested type of object or operation.
INUSE_ATTRIBUTE_ERR:
If an attempt is made to add an attribute that is already in use elsewhere.
The above are since DOM Level 1
INVALID_STATE_ERR:
If an attempt is made to use an object that is not, or is no longer, usable.
SYNTAX_ERR:
If an invalid or illegal string is specified.
INVALID_MODIFICATION_ERR:
If an attempt is made to modify the type of the underlying object.
NAMESPACE_ERR:
If an attempt is made to create or change an object in a way which is incorrect with regard to namespaces.
INVALID_ACCESS_ERR:
If a parameter or an operation is not supported by the underlying object.
The above are since DOM Level 2
VALIDATION_ERR:
If a call to a method such as insertBefore
or removeChild
would make the Node
invalid with respect to "partial validity", this exception would be raised and the operation would not be done.
TYPE_MISMATCH_ERR:
If the type of an object is incompatible with the expected type of the parameter associated to the object, this exception would be raised.
The above is since DOM Level 3
Reimplemented in DOMXPathException.
| DOMException::DOMException | ( | ) |
Default constructor for DOMException.
| DOMException::DOMException | ( | short | code, | |
| short | messageCode = 0 , |
|||
| MemoryManager *const | memoryManager = XMLPlatformUtils::fgMemoryManager | |||
| ) |
Constructor which takes an error code and an optional message code.
| code | The error code which indicates the exception | |
| messageCode | The string containing the error message | |
| memoryManager | The memory manager used to (de)allocate memory |
| DOMException::DOMException | ( | const DOMException & | other | ) |
Copy constructor.
| other | The object to be copied. |
| virtual DOMException::~DOMException | ( | ) | [virtual] |
Destructor for DOMException.
| short DOMException::code |
A code value, from the set defined by the ExceptionCode enum, indicating the type of error that occured.
| const XMLCh* DOMException::msg |
A string value.
Applications may use this field to hold an error message. The field value is not set by the DOM implementation, meaning that the string will be empty when an exception is first thrown.
Referenced by getMessage().
MemoryManager* DOMException::fMemoryManager [protected] |


Provides a variety of functions to analyze and model geostatistical count data with Gaussian copulas, including 1) data simulation and visualization; 2) correlation structure assessment (here also known as the Normal To Anything); 3) calculate multivariate normal rectangle probabilities; 4) likelihood inference and parallel prediction at predictive locations.
| Version: | 1.1.2 |
| Depends: | R (≥ 3.2.5) |
| Imports: | Rcpp (≥ 0.12.0) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | EQL, FNN, lattice, latticeExtra, Matrix, MASS, numDeriv, scatterplot3d, snowfall, sp |
| Published: | 2018-07-31 |
| Author: | Zifei Han |
| Maintainer: | Zifei Han <hanzifei1 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | gcKrig results |
| Reference manual: | gcKrig.pdf |
| Package source: | gcKrig_1.1.2.tar.gz |
| Windows binaries: | r-devel: gcKrig_1.1.2.zip, r-release: gcKrig_1.1.2.zip, r-oldrel: gcKrig_1.1.2.zip |
| OS X binaries: | r-release: gcKrig_1.1.2.tgz, r-oldrel: gcKrig_1.1.2.tgz |
| Old sources: | gcKrig archive |
Please use the canonical form https://CRAN.R-project.org/package=gcKrig to link to this page.


--- layout: post title: Animation Control , Adding Cool Animations in your application, Scenario 2 date: 2007-01-20 17:45:00.000000000 -05:00 type: post published: true status: publish categories: [] tags: - AJAX - Animation - JavaScript meta: _pingme: '1' _encloseme: '1' orig_url: http://blogs.msdn.microsoft.com/b/phaniraj/archive/2007/01/20/animation-control-adding-cool-animations-in-your-application.aspx orig_site_id: '7524' orig_post_id: '1500135' orig_parent_id: '1500135' orig_thread_id: '491152' _wds_ratings_users: '0' orig_application_key: phaniraj orig_post_author_id: '56365' orig_post_author_username: PhaniRajuYN orig_post_author_created: Nov 10 2006 05:47:39:000PM orig_is_approved: '1' orig_attachment_count: '0' orig_url_title: http://blogs.msdn.com/b/phaniraj/archive/2007/01/20/animation-control-adding-cool-animations-in-your-application-scenario-2.aspx opengraph_tags: | author: login: phanirajuyn email<EMAIL_ADDRESS>display_name: Phani Raju MSFT first_name: '' last_name: '' ---
Assigning Animations to Client-Side Controls
If you need to assign Animation Behaviour to any Client-Side Controls using the AjaxControlToolKit's Animation Extender Control ,
you gotta Explicitly create the AnimationExtender Control on the Client side using the $create function
$create's Documentation is here Sys.UI.Component $create Method.
$create(type, properties, events, references, element);
Whenever, you add an Animation Extender control using the steps mentioned in my previous Post,
Animation Control , Adding Cool Animations in your application ,
For the Markup
<!-- asp:Image Control that houses the ThumbNail --> <asp:Image runat="server" ID="imgThumbNail1" CssClass="imgThumbNail" ImageUrl="thumbNails/Second_Dimension_by_celsojunior.jpg" />
<cc1:AnimationExtender ID="animationExtendThumbNail1" runat="server" TargetControlID="imgThumbNail1"> <Animations> <OnClick> <Move Duration=".2" horizontal="800" vertical="600" Unit="px" /> </OnClick> </Animations> </cc1:AnimationExtender>
The Runtime generates the Following $create Function
<script type="text/javascript"> <!-- Sys.Application.initialize(); <!-- Called when the Client Side Script Framework and Controls are Initialised--> Sys.Application.add_init(function() { $create(AjaxControlToolkit.Animation.AnimationBehavior, { <!-- The ID to be associated with the control--> "id":"animationExtendThumbNail1", imgThumbNail1 "OnClick":"{\"AnimationName\":\"Move\",\"Duration\":\".2\",\"horizontal\":\"800\",\"vertical\":\"600\",\"Unit\":\"px\",\"AnimationChildren\":[]}", <!-- The Control to be targeted imgThumbNail1--> null, null, $get("imgThumbNail1")); }); --> </script>
Looking at this , we understand that the Server-Side Control associated with the Animation Control is Specified as the
last parameter of the $create function is the Element the behaviour has to be associated with .
So , lets start by creating a client Side Control .
1) Create an <img> tag on the client Side , using the document.CreateElement Method
/********** Function Name : CreateClientSideElementAndAttachAnimation Parameters : a) parentElementId : The Parent Element Which will house the Dynamically Created Control . Purpose : This Function Creates A client Side <img> tag and Calls the Function to attach the Animation behavior **********/
//parentElementId is the ID of the HTML element that will house the Dynamically Created Client Side Control function CreateClientSideElementAndAttachAnimation(parentElementId) { //Lets be Efficient and use StringBuilder :-) var imgElementTagString = new Sys.StringBuilder("");
// The ID of the dynamically Created control var imgElementID = "imgDynamicControl" imgElementTagString.append("<img"); imgElementTagString.append(" id=\""+imgElementID+"\" ");
//Style the Control to have the "Position" Attribute set to "Absolute" and assign the left and Top Positions of the control imgElementTagString.append(" style=\"position:absolute;top:100px;left:20px;\" "); imgElementTagString.append(" src=\"thumbNails/Second_Dimension_by_celsojunior.jpg\" ");
imgElementTagString.append("/>"); //Create the Img Tag using the document.createElement var imgElement = document.createElement( imgElementTagString.toString() );
//Add the Child to the "ChildNodes" collection of the Parent Control $get(parentElementId).appendChild( imgElement ); //Attach the Animation Control to the Dynamically Created Image Element AttachAnimation( imgElementID ); }
2) Attach the Animation to the Dynamically Created Control
/********** Function Name : AttachAnimation Parameters : a) controlID : The Dynamically Created Control that has to be associated with the Animation Extender Purpose : This Function Creates an Animation Extender on the Client Side and Associates the Behaviour with the Dynamically Created Control Side **********/
function AttachAnimation( controlID ) { //The Id of the Dynamically Created Animation Extender Control var animatorID = "dynamicallyCreatedAnimationExtender"; //Dynamically Create the Animation Extender Control $create(AjaxControlToolkit.Animation.AnimationBehavior, {"id":animatorID,
//The Animation associted with the Extender in JSON
"OnClick":"{\"AnimationName\":\"Move\",\"Duration\":\".2\",\"horizontal\":\"800\",\"vertical\":\"600\",\"Unit\":\"px\",\"AnimationChildren\":[]}"}
// Associate the Client-Side Control with the Animation Extender by using "$get(<controlID>")
null, null, $get(controlID) ); }
The Script might look a little convoluted , but once you get the hang of it, its pretty easy to tweak it as necessary .


| Access Point
Repeaters is similar to Single Frequency Networks (SFN) used in Digital Audio
Broadcasting (DAB) and Digital Video Broadcasting, except that it is applied
on a small scale, and with the use of simple repeaters. The signal from a
single base station is split and distributed to a number of antennas. The
signal is boosted at each antenna using a bi-directional masterhead
amplifier. |


HEAD
UofT EngSci 1T5
FEW PROGRAMMING COURSES
CODED DURING SUMMER
I'm hosted with GitHub Pages.
>>>>>>> c783423bbc9a99b7319b181b0762725eb24ab1ea


-
OpenWork Order {{osalesorder}}
-
OpenProduction Orders {{oporder}}
-
In ProgressProduction Orders {{inpropo}}
-
ClosedProduction Orders {{clopropo}}
Chart
Pending Tasks
| {{i.subject}} | {{i.exp_end_date}} |
Projects
{{i.project_name}}


French bishops back payments to sex abuse victims
PARIS (Reuters) - French bishops voted on Saturday in favor of a plan to offer payments to people who were sexually abused as children by members of the Catholic clergy.
The French bishops conference said in a statement that each bishop would get in touch with victims they knew of to offer a “single lump sum of money”.
It added that neither the French legal system nor the Church required the payment of the money, and it was not intended to be a reparation.
“It aims to recognize that the victims’ suffering hangs on various failings within the Church,” the bishops’ statement said.
It added that a fund would be set up and the amount of the payouts was still to be decided.
For now, Church officials do not know how many people could be eligible for the payments but an independent commission charged with looking into sex abuse by members of the Catholic clergy over the last 20 years in France has collected testimony from 2,800 victims.
A spate of abuse scandals has battered Church credibility around the world and forced some dioceses to declare bankruptcy because of billions of dollars paid in settlements with victims.
Pope Francis issued a landmark decree in May making bishops directly accountable for sexual abuse or covering it up, requiring clerics to report any cases to Church superiors and allowing anyone to complain directly to the Vatican if need be.
In March, Pope Francis turned down an offer to resign from French Roman Catholic cardinal Philippe Barbarin, who had been convicted of failing to report sexual abuse charges.


pratyush@World
Welcome to the world of Pratyush Harsh
> Click Here to download My Resume
> Enter reachme [your mail id] to hire me or have a chat
>


Eboard Evals
No Evaluations.
{{eval.position}}
{{eval.name}} - {{eval.time}}
Archive
Likes
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| Home | Trees | Index | Help |
|---|
| Package svnmailer :: Module typedstruct :: Class StructPrivate |
|
object
--+
|
StructPrivate
| Method Summary | |
|---|---|
Initialization | |
| any |
Returns the arg for the particular instance |
dict
|
Returns the map dict for the particular instance |
dict
|
Returns the subst dict for the particular instance |
dict
|
Returns the value dict for the particular instance |
Initializes the class for a particular instance | |
Removes all data, referring to a particular instance | |
| Inherited from object | |
x.__delattr__('name') <==> del x.name... | |
x.__getattribute__('name') <==> x.name... | |
x.__hash__() <==> hash(x)... | |
T.__new__(S, ...) -> a new object with type S, a subtype of T... | |
helper for pickle... | |
helper for pickle... | |
x.__repr__() <==> repr(x)... | |
x.__setattr__('name', value) <==> x.name = value... | |
x.__str__() <==> str(x)... |
| Method Details |
|---|
__init__(self,
names,
aliases)
Initialization
|
getArg(self, instance)Returns the arg for the particular instance
|
getMaps(self, instance)Returns the map dict for the particular instance
|
getSubst(self, instance)Returns the subst dict for the particular instance
|
getValues(self, instance)Returns the value dict for the particular instance
|
initInstance(self, instance, maps, arg)Initializes the class for a particular instance
|
removeInstance(self, instance)Removes all data, referring to a particular instance
|
| Home | Trees | Index | Help |
|---|
| Generated by Epydoc 2.1 on Mon Apr 17 12:39:10 2006 | http://epydoc.sf.net |


initdb creates a new PostgreSQL database cluster.
Creating a database cluster consists of creating the directories in which the database data will live, generating the shared catalog tables (tables that belong to the whole cluster rather than to any particular database), and creating the template1 and postgres databases. When you later create a new database, everything in the template1 database is copied. (Therefore, anything installed in template1 is automatically copied into each database created later.) The postgres database is a default database meant for use by users, utilities and third party applications.
Although initdb will attempt to create the specified data directory, it might not have permission if the parent directory of the desired data directory is root-owned. To initialize in such a setup, create an empty data directory as root, then use chown to assign ownership of that directory to the database user account, then su to become the database user to run initdb.
initdb must be run as the user that will own the server process, because the server needs to have access to the files and directories that initdb creates. Since the server cannot be run as root, you must not run initdb as root either. (It will in fact refuse to do so.)
initdb initializes the database cluster's default locale and character set encoding. The character set encoding, collation order (LC_COLLATE) and character set classes (LC_CTYPE, e.g. upper, lower, digit) can be set separately for a database when it is created. initdb determines those settings for the template1 database, which will serve as the default for all other databases.
To alter the default collation order or character set classes, use the --lc-collate and --lc-ctype options. Collation orders other than C or POSIX also have a performance penalty. For these reasons it is important to choose the right locale when running initdb.
The remaining locale categories can be changed later when the server is started. You can also use --locale to set the default for all locale categories, including collation order and character set classes. All server locale values (lc_*) can be displayed via SHOW ALL. More details can be found in Section 22.1.
To alter the default encoding, use the --encoding. More details can be found in Section 22.2.
This option specifies the authentication method for local users used in pg_hba.conf. Do not use trust unless you trust all local users on your system. Trust is the default for ease of installation.
This option specifies the directory where the database cluster should be stored. This is the only information required by initdb, but you can avoid writing it by setting the PGDATA environment variable, which can be convenient since the database server (postgres) can find the database directory later by the same variable.
Selects the encoding of the template database. This will also be the default encoding of any database you create later, unless you override it there. The default is derived from the locale, or SQL_ASCII if that does not work. The character sets supported by the PostgreSQL server are described in Section 22.2.1.
Sets the default locale for the database cluster. If this option is not specified, the locale is inherited from the environment that initdb runs in. Locale support is described in Section 22.1.
Like --locale, but only sets the locale in the specified category.
Equivalent to --locale=C.
This option specifies the directory where the transaction log should be stored.
Selects the user name of the database superuser. This defaults to the name of the effective user running initdb. It is really not important what the superuser's name is, but one might choose to keep the customary name postgres, even if the operating system user's name is different.
Makes initdb prompt for a password to give the database superuser. If you don't plan on using password authentication, this is not important. Otherwise you won't be able to use password authentication until you have a password set up.
Makes initdb read the database superuser's password from a file. The first line of the file is taken as the password.
Sets the default text search configuration. See default_text_search_config for further information.
Other, less commonly used, parameters are also available:
Print debugging output from the bootstrap backend and a few other messages of lesser interest for the general public. The bootstrap backend is the program initdb uses to create the catalog tables. This option generates a tremendous amount of extremely boring output.
Specifies where initdb should find its input files to initialize the database cluster. This is normally not necessary. You will be told if you need to specify their location explicitly.
By default, when initdb determines that an error prevented it from completely creating the database cluster, it removes any files it might have created before discovering that it cannot finish the job. This option inhibits tidying-up and is thus useful for debugging.
Print the initdb version and exit.
Show help about initdb command line arguments, and exit.
Specifies the directory where the database cluster is to be stored; can be overridden using the -D option.
This utility, like most other PostgreSQL utilities, also uses the environment variables supported by libpq (see Section 31.13).


{{ title }}
| # | Title | Costumer | Author | Opened on |
|---|---|---|---|---|
| {{ ticket.id }} | {{ ticket.title }} | {{ ticket.customer }} | {{ ticket.author }} | {{ ticket.opened_at | amTimeAgo }} |
| # | Title | Costumer | Author | Opened on |
|---|---|---|---|---|
| {{ ticket.id }} | {{ ticket.title }} | {{ ticket.customer }} | {{ ticket.author }} | {{ ticket.opened_at | amTimeAgo }} |


Protocol(location.protocol ) |
file:///, http://, https://, git://, ftp://, ws://, ssh://, mailto:, tel: |
Determines the way in which the required resource is gained |
- You can sometimes combine them:
git + ssh://
- If you write a url in a page without specifying one (e.g.
//test.com/test.js ) then whatever protocol you're using to load the page will be used to retreive that resource
|
Domain Name(location.hostname ) |
slides.com, amazon.co.uk |
This human-readable name maps to an external IP address (e.g. <IP_ADDRESS> ) held by machines called routers (in a routing table). It is like an 'address' for the servers to which you want to send the request. The routers use this address to direct your request to the right servers. |
|
Port(location.port ) |
:8080 |
Ports are like different doors to the server. Having ports means that a server can direct traffic and run multiple hostings and services at once |
|
Path(location.pathname ) |
/cats/about.html |
Specifies which particular resource you wish from that server |
|
Parameters (alias: query string)(location.search ) |
?page=4&&filter=persians |
Passes supplementary data for the server to use when processing your request. |
|
Anchor (alias: hash)(location.hash ) |
- Normal link to an id in the page:
#about - Client side Routing:
#players or #players/4/7
|
This part of the URL originaly referenced an id on your page. If there is a matching id your browser will jump the page to it. This is called deep linking.
Later on, this part of the URL was used for 'Client-side Routing'. This allows SPAs (Single Page Applications) to keep track of their state.
|
SPAs use a thing called html5mode to hide the hash. So you may see http://test.com/teams/15/players , but what you're actually looking at is http://test.com#teams/15/players .
There is an event you can listen to when the hash gets manipulated, called onHashChange .
|


Financing is the process in which an applicant, member or a non-member of the DAO, submits a proposal asking for funds. If the proposal passes, the funds are released to the applicant.
The main goal is to allow individuals and/or organizations to request funds to finance their projects, and the members of the DAO have the power to vote and decide which projects should be funded.
In order to request funds from the DAO, the applicant must submit a proposal in which one must specify the desired amount and the token address to receive the funds.
The applicant address cannot be a reserved address, which means the address is already reserved for the DAO internal usage. Also, the token address must be allowed/supported by the DAO Bank. If these two conditions are not met, the funding proposal is not created.
Tokens that are provided by the member have to be allowed/supported by the DAO.
The member needs to have enough units and/or loot in order to convert it to funds.
DAORegistry Access Flags: SUBMIT_PROPOSAL
.
Bank Extension Access Flags: ADD_TO_BALANCE
, SUB_FROM_BALANCE
.
proposals
: all financing proposals handled by each DAO.ProposalDetails
:
applicant
: the proposal applicant address, cannot be a reserved address.amount
: the amount requested for funding.token
: the token address in which the funding is made to the applicant, needs to be allowed/supported by the DAO Bank.BankExtension
DaoRegistry
Voting
/**
* @notice default fallback function to prevent from sending ether to the contract.
*/
receive() external payable
/**
* @notice Creates and sponsors a financing proposal.
* @dev Applicant address must not be reserved.
* @dev Token address must be allowed/supported by the DAO Bank.
* @dev Requested amount must be greater than zero.
* @dev Only members of the DAO can sponsor a financing proposal.
* @param dao The DAO Address.
* @param proposalId The proposal id.
* @param applicant The applicant address.
* @param token The token to receive the funds.
* @param amount The desired amount.
* @param details Additional detais about the financing proposal.
*/
function submitProposal(
DaoRegistry dao,
bytes32 proposalId,
address applicant,
address token,
uint256 amount,
bytes memory data
) external override
/**
* @notice Processing a financing proposal to grant the requested funds.
* @dev Only proposals that were not processed are accepted.
* @dev Only proposals that were sponsored are accepted.
* @dev Only proposals that passed can get processed and have the funds released.
* @param dao The DAO Address.
* @param proposalId The proposal id.
*/
function processProposal(DaoRegistry dao, bytes32 proposalId)
external
override
No events are emitted from this adapter.


Using Broadcast method
This is broadcaster element
owNgBind autto update with ows-broadcaster content
owNgBind content
------------------------------
Using Notifier method
This is broadcaster element
owNgBind autto update with ows-notifier for child content
WithoutUsing Notifier method
This is broadcaster element
owNgBind autto update with ows-notifier for child content


{% extends "layout.html" %} {% block page_title %} Money Claims Prototype {% endblock %} {% block content %} ALPHA This is a new service – your feedback will help us to improve it. Response sent to Jan Clark Your response We've also sent a copy of your response to<EMAIL_ADDRESS>What happens next Jan Clark might reply with a suggestion - they have 5 days to respond. We'll update you by email and SMS if this happens. If Jan Clark doesn't want to discuss the claim or there is no response, you will need to give some more information about why you don't owe the money. {% endblock %}
ALPHA This is a new service – your feedback will help us to improve it.
Your response
We've also sent a copy of your response to<EMAIL_ADDRESS>Jan Clark might reply with a suggestion - they have 5 days to respond. We'll update you by email and SMS if this happens.
If Jan Clark doesn't want to discuss the claim or there is no response, you will need to give some more information about why you don't owe the money.


Select
Default
This option has no value
This option is disabled
This option has a value
This option is selected by default
No options
With Label
Small
Medium
Large
Extra Large
Disabled
This option is not selectable
This option is disabled
This option is not disabled
This option is not disabled
Selected Option
Option One
Option Two
Option Three
Option Four
Custom Indicator
Option One
Option Two
Option Three
Option Four
Long list
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachussets
Michigain
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Texas
Tennessee
Utah
Vermont
Virginia
Washington
Wisconsin
West Virginia
Wyoming
Forced positions
Position forced above
Option Two
Position forced below
Option Two


About and Contact
Thanks for stopping by!
I like to think that I create compelling, meaningful, and cathartic content employed using a wide gamut of methods and means.
Primarily, this website is focused on my photography as well as my experiments in cartography.
I also enjoy creating (and listening to!) music.


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NetStumbler - The tool allows you to scan for nearby Wi-Fi access points and to get details about them.
ttp://www.netstumbler.com/downloads/
Hacking Wi-Fi Using Aircrack - http://www.tamos.com/download/main/ca.php
Cain and Abel.
AirJack - downloadable as source code you then must compile. For some, this is going to be a bit more effort than they may
wish to expend. However, AirJack is such a popular tool, I would be remiss not to cover it. You can download it from here:
https://sourceforge.net/projects/airjack
Kismet is another tool that downloads as source code you must compile yourself. It can be downloaded from
https://www.kismetwireless.net/.
- Aircrack-ng - Set of tools for auditing wireless networks.
- Airgeddon - Multi-use bash script for Linux systems to audit wireless networks.
- BoopSuite - Suite of tools written in Python for wireless auditing.
- Bully - Implementation of the WPS brute force attack, written in C.
- Cowpatty - Brute-force dictionary attack against WPA-PSK.
- Fluxion - Suite of automated social engineering based WPA attacks.
- KRACK Detector - Detect and prevent KRACK attacks in your network.
- Kismet - Wireless network detector, sniffer, and IDS.
- Reaver - Brute force attack against WiFi Protected Setup.
- WiFi-Pumpkin - Framework for rogue Wi-Fi access point attack.
- Wifite - Automated wireless attack tool.
- infernal-twin - Automated wireless hacking tool.
- krackattacks-scripts - WPA2 Krack attack scripts.
- wifi-arsenal - Resources for Wi-Fi Pentesting.


HEAD
Some quick example text to build on the card title and make up the bulk of the card's content.
Check eventsSome quick example text to build on the card title and make up the bulk of the card's content.
Check eventsSome quick example text to build on the card title and make up the bulk of the card's content.
Check eventsSome quick example text to build on the card title and make up the bulk of the card's content.
Check events© Jessica Madufor (Andela 2017)


| Figure 1 |
Map of the area of study. |
| Figure 2 |
Climate diagram for provenances Drama (A) and Evros (B). |
| Figure 3 |
Survival percentages in the field*. *Values followed by the ... |
| Figure 4 |
Survival percentages in the growth chamber *. *Values follow ... |
| Figure 5 |
Partitioning of variance across the years of the study for t ... |
| Figure 6 |
Plastic response of populations in seedling height between c ... |
| Figure 7 |
Plastic response of populations between consecutive years of ... |


| Final 28 Oct |
Patna | 55-38 | Gujarat |
| Qualifier2 26 Oct |
KKR | 44-47 | Patna |
| Eliminator3 24 Oct |
Pune | 32-42 | Patna |
| Qualifier1 24 Oct |
Gujarat | 42-17 | Bengal |
| Eliminator2 23 Oct |
Patna | 69-30 | Haryana |
| Eliminator1 23 Oct |
Pune | 40-38 | U.P. |
The Pro Kabaddi League (currently known as Vivo Pro Kabaddi) is a professional-level kabaddi league in India. It was first established by Charu Sharma in 2014.
The Pro Kabaddi League was first held in 2014; its founder, Charu Sharma, was influenced by the popularity of the Kabaddi tournament at the 2006 Asian Games, which utilized an indoor version of the game played on a court. Sharma cited the Indian Premier League as an influence on the overall formatting of the competition, noting that "mere sport works well [in India], but if you package it better, it works better." The PKL uses a franchise-based model; the league began with eight teams, each of which having paid fees of up to US$250,000 to join. There were doubts over whether the PKL would be successful, noting that there were many leagues attempting to emulate the IPL's business model and success, and that unlike cricket, there were relatively fewer well-known players in Kabaddi. However, it was also noted that kabaddi was widely played in grassroots community settings, and could thus attract a wide variety of rural and metropolitan viewers for advertisers to target if the league gained significant traction.
The inaugural season was seen by a total of 435 million viewers, placing it just behind the total-season viewership of the 2014 Indian Premier League season, while the inaugural championship was seen by 86.4 million viewer. Star Sports, the PKL's broadcaster, subsequently announced in 2015 that it would acquire a 74% stake in the league's parent company Mashal Sports. For the 2017 season, the PKL added four new teams, and changed its format to split the teams into two divisions known as "zones".
The PKL's rules are similar to that of the indoor team version of Kabaddi, but with additional rules to encourage more scoring. Playing two "empty" raids in a row will trigger a "do-or-die raid", where the raider must score a point or they will be declared out. When a defensive side has three or fewer players remaining, tackles are scored as a "Super Tackle", which is worth two points instead of one.


vqa_benchmarking_backend.bottomupattention.dataloader.detection_utils
¶
Common data processing utilities that are used in a typical object detection data pipeline.
Module Contents¶
Functions¶
|
Apply transforms to box, segmentation and keypoints annotations of a single instance. |
|
Create an |
-
vqa_benchmarking_backend.bottomupattention.dataloader.detection_utils.
transform_instance_annotations
(annotation, transforms, image_size, *, keypoint_hflip_indices=None)¶ Apply transforms to box, segmentation and keypoints annotations of a single instance.
It will use transforms.apply_box for the box, and transforms.apply_coords for segmentation polygons & keypoints. If you need anything more specially designed for each data structure, you’ll need to implement your own version of this function or the transforms.
- Args:
- annotation (dict): dict of instance annotations for a single instance.
It will be modified in-place.
transforms (TransformList): image_size (tuple): the height, width of the transformed image keypoint_hflip_indices (ndarray[int]): see create_keypoint_hflip_indices.
- Returns:
- dict:
the same input dict with fields “bbox”, “segmentation”, “keypoints” transformed according to transforms. The “bbox_mode” field will be set to XYXY_ABS.
-
vqa_benchmarking_backend.bottomupattention.dataloader.detection_utils.
annotations_to_instances
(annos, image_size, mask_format='polygon')¶ Create an
Instances
object used by the models, from instance annotations in the dataset dict.- Args:
- annos (list[dict]): a list of instance annotations in one image, each
element for one instance.
image_size (tuple): height, width
- Returns:
- Instances:
It will contain fields “gt_boxes”, “gt_classes”, “gt_masks”, “gt_keypoints”, if they can be obtained from annos. This is the format that builtin models expect.


@*
* 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 utils.ERSUtil
@import config.ApplicationConfig
@import utils.CountryCodes
@import uk.gov.hmrc.play.views.html.helpers.{FormWithCSRF, Input, ErrorSummary}
@this(form: FormWithCSRF, input: Input, errorSummary: ErrorSummary)
@(requestObject: RequestObject, index: Int, companyDetails: Form[models.CompanyDetails])(implicit request: Request[AnyRef], flash: Flash, messages: Messages, ersUtil: ERSUtil, countryCodes: CountryCodes, appConfig: ApplicationConfig)
@* manual company details Template *@
@schemeId = @{requestObject.getSchemeId}
@import views.html.helpers.error_overview
@import views.html.templates._
@scripts = {
}
@ers_main(title = ersUtil.getPageElement(schemeId, "ers", "group_add.page_title") + " " + messages("ers.title.postfix"), scripts) {
@reference(requestObject.getPageTitle)


About
What is KinderMiner™?
KinderMiner™ is a simple and fast text mining tool for filtering and ranking a list of target terms by their association with a key phrase. For example, KinderMiner™ can be used to rank a list of transcription factors (the target terms) by their association with embryonic stem cells (the key phrase), in order to find what transcription factors are important to the embryonic stem cell state.
What is the Morgridge Institute for Research?
The Morgridge Institute for Research is an independent research organization that explores uncharted scientific territory to discover tomorrow’s cures. In affiliation with the University of Wisconsin-Madison, they support researchers who take a fearless approach to advancing human health in emerging fields such as regenerative biology, metabolism, virology and medical engineering. Through public programming, they work to inspire scientific curiosity in everyday life.
How does KinderMiner™ work?
For every target term, KinderMiner™ counts (1) the articles (available on PubMed) in which the term occurs with the key phrase of interest, (2) the articles in which it occurs without the key phrase, and (3) the articles in which the key phrase occurs without the term. It then performs a simple statistical calculation with all term counts to filter and rank the terms by their co-occurrence with the key phrase. In this way, co-occurrence is assumed to represent association between any one term and the key phrase.
How do I cite KinderMiner™?
Kuusisto F, Steill J, Kuang Z, Thomson J, Page D, Stewart R. A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications. In Proceedings of the AMIA Joint Summits on Translational Science. 2017.


--- title: Upload file to Open Stack keywords: fastai sidebar: home_sidebar ---
from fastprogress.fastprogress import master_bar, progress_bar
from time import sleep
mb = master_bar(range(1))
for i in mb:
sleep(0.1)
for j in progress_bar(range(10), parent=mb):
sleep(0.1)
#mb.child.comment = f'second bar stat'
#mb.write(f'Finished loop {i}.')
mb = master_bar(range(1))
a = mb.__iter__().__next__()
print(a)
for j in progress_bar(range(10), parent=mb):
sleep(0.1)
mb = master_bar(range(1))
for i in mb: None
for j in progress_bar(range(10), parent=mb):
sleep(0.1)
from oco2peak.datasets import Datasets
config = './configs/config.json'
datasets = Datasets(config)
datasets.upload("/media/data-nvme/dev/datasets/OCO2/peaks-v10/*.csv", "/datasets/oco-2/peaks-detected/", 'text/csv')
datasets.get_files_urls('/datasets/oco-2/peaks-detected/')
#datasets.upload("/media/data-nvme/dev/datasets/OCO2/peaks-v10/*.json", "/datasets/oco-2/peaks-detected-details/", 'application/json')


Hi,
Just upgraded to Emoncms V8 on my Pi.
If I try to download a csv file for an SQL feed it gives a file size but the file produced always contains no data and is empty.
If I try to download a csv file for a Timestore feed I get the following errors:

Warning: Creating default object from empty value in /var/www/emoncms/Modules/feed/engine/Timestore.php on line 269

Notice: Undefined variable: npoints in /var/www/emoncms/Modules/feed/engine/Timestore.php on line 273

false
This happens whether or not I try to download from emoncms.org or localhost.
Not sure where I've gone wrong.
Re: Help with Export to CSV function in Emoncms V8
I can see the there is something amiss there, not sure what it is, Il look into it.
Re: Help with Export to CSV function in Emoncms V8
OK. That would be good thanks.
Re: Help with Export to CSV function in Emoncms V8
Hi,
Did you get anywhere with this Trystan?


Whiley ADMINISTRATION
From this page, you can administer the Whiley system.
Manage Admins
% if MESSAGE:
${MESSAGE}
% endif
| Username |
- |
% for username, userid in ADMINLIST:
|
${username}
|
Revoke |
% endfor
Manage Teachers
% if TEACHER_MESSAGE:
${TEACHER_MESSAGE}
% endif
| Username |
- |
% for username, userid in TEACHERLIST:
|
${username}
|
Revoke |
% endfor


Docker
[![Docker Stars](https://img.shields.io/docker/stars/phpstan/phpstan.svg)](https://hub.docker.com/r/phpstan/phpstan/)
[![Docker Pulls](https://img.shields.io/docker/pulls/phpstan/phpstan.svg)](https://hub.docker.com/r/phpstan/phpstan/)
The image is based on [Alpine Linux](https://alpinelinux.org/) and updated automatically.
## Supported tags
- `0.12`, `latest`
- `0.11`
- `0.10`
- `nightly` (dev-master)
## Installation
docker pull phpstan/phpstan
Alternatively, pull a specific version:
docker pull phpstan/phpstan:0.12
## Usage
We recommend to use the images as a shell alias shortcut.
To use `phpstan` everywhere in the CLI add this line to your `~/.zshrc`, `~/.bashrc`, or `~/.profile`.
alias phpstan='docker run -v $PWD:/app --rm phpstan/phpstan'
If you don't have set the alias, use this command to run the container:
docker run --rm -v /path/to/app:/app phpstan/phpstan [some arguments for PHPStan]
For example:
docker run --rm -v /path/to/app:/app phpstan/phpstan analyse /app/src
## Install PHPStan extensions
If you need a PHPStan extension, for example [phpstan/phpstan-phpunit](https://github.com/phpstan/phpstan-phpunit), you can simply
extend an existing image and add the relevant extension via Composer.
In some cases you also need some additional PHP extensions like DOM. (see section below)
Here is an example Dockerfile for `phpstan/phpstan-phpunit`:
FROM phpstan/phpstan:latest
RUN composer global require phpstan/phpstan-phpunit
You can update the `phpstan.neon` file in order to use the extension:
includes:
- /composer/vendor/phpstan/phpstan-phpunit/extension.neon
## Install PHP extensions
Sometimes your codebase requires some additional PHP extensions like `intl` or maybe `soap`.
Therefore you need to know that our Docker image extends the [official php:cli-alpine Docker image](https://hub.docker.com/_/php).
So only the default built-in extensions are available (see below).
To solve this issue you can extend our Docker image in a custom Dockerfile like this, for example to add `soap` and `intl`:
FROM phpstan/phpstan:latest
RUN apk --update --progress --no-cache add icu-dev libxml2-dev \
&& docker-php-ext-install intl soap
## Default built-in PHP extensions
You can use the following command to determine which PHP extensions are already installed in the base image:
docker run --rm php:cli-alpine -m
This should give you an output like this:
[PHP Modules]
Core
ctype
curl
date
dom
fileinfo
filter
ftp
hash
iconv
json
libxml
mbstring
mysqlnd
openssl
pcre
PDO
pdo_sqlite
Phar
posix
readline
Reflection
session
SimpleXML
sodium
SPL
sqlite3
standard
tokenizer
xml
xmlreader
xmlwriter
zlib
[Zend Modules]


---
layout: page
id: contact-us
title: Contact Us
permalink: /contact-us.html
---
- Do you want to try standup comedy?
- We run open mics every month. Send us a message on Facebook or an email for a specific event and we will book you a spot.
- How about corporate events?
- Yes, we are available for corporate events. Please contact us through Facebook or email.


`
{{toast_message}}
Upload a Genome or add an annotation to an existing genome
Add Annotation
Upload Genome
Genome Upload
Genome/Annotation Search
Genome Upload
What is the genus and species name of the source organism?
What description would you like to use for this genome assembly?
What is the source of this genome assembly?
Which scaffold region should Genome Browser display by default?
What is the taxonomy ID?
Select (*.fa/*.fasta)
Upload
Genome Upload
Genome/Annotation Search
Genome Search
| {{genome.name}} |
{{genome.abbrev}} |
Add
|
Genome Upload
Genome/Annotation Search
Annotation Upload
What is the name of the annotation track
Which version of the bed format is the file?
What would you like to use as the long-form label?
What would you like to use as the short-form label?


Kuwait conveyed messages from Iran to Saudi Arabia, Bahrain: official
by ReutersCAIRO (Reuters) - Kuwait’s deputy foreign minister Khaled al-Jarallah said on Tuesday that Kuwait conveyed messages from Iran to Saudi Arabia and Bahrain regarding the situation in the Gulf region, and "until now no answers have emerged".
The Iranian Foreign Ministry had said last month that Iran is prepared to hold talks with regional rival Saudi Arabia, "with or without the help of a mediator".
Saudi Arabia, which is locked in several proxy wars in the region with Iran, has blamed Tehran for attacks on Saudi oil plants on Sept. 14, a charge Iran denies. The kingdom has said it prefers a political solution to a military one.
(Reporting by Nayera Abdallah; Editing by Chizu Nomiyama)


--- layout: post title: Ruby script to get Facebook Like stats for your blog date: 2012-01-04 18:36:08.000000000 +01:00 type: post published: true status: publish categories: - Coding tags: - facebook - likes - ruby - scripting meta: _edit_last: '1' _thumbnail_id: '1659' _syntaxhighlighter_encoded: '1' dsq_thread_id: '526679765' author: login: bbWebdesign email<EMAIL_ADDRESS>display_name: Bob first_name: Bob last_name: Belderbos ---
In spite of my proposed Scala, HTML5, and Mobile learning, I will start this New Year learning Ruby :) - I am about to read Eloquent Ruby, but before that I wanted to wet my apetite with a practical case ...
Browsing http://facebook.stackoverflow.com/, I saw a nice one to work on: Getting all likes on my domain (facebook). So how to get stats on likes for each of your blog posts? Read on ...
New here? You might want to subscribe to my blog by email or RSS.
It is nice to get a feel of a language by first playing with it, I took the same approach learning Perl. Of course I had to use Google a lot for even basic things (Ruby hashes, loops, the very useful Perl Dumper variant "pp", etc.), but I soon became convinced that Ruby is fun to learn and a powerful language to have in your toolkit.
First step is to make a sitemap XML file of your site. It turned out I had to do that anyways for SEO purposes. For Wordpress there is an excellent plugin. You can see my sitemap here.
So we start scripting. First we need to load that file from the web with a call to "Net::HTTP.get_response" (requires 'net/https')
Next you want to parse the XML to get all the URLs. REXML makes that simple with "REXML::Document.new(xml_data)" and then you use "doc.elements.each('urlset/url/loc')" to loop over the URLs
Then the real data crunching: you reach out to https://graph.facebook.com/?ids= which (I just discovered) does except a comma-seperated list of URLs. Keep in mind the https so require 'net/https' and use "http.use_ssl = true". Obviously this is the desired way to do it: clustering all URLs together to make one big query instead of hundreds of small ones. You do need to shave the last comma off, otherwise the query will fail (url[0..-2])
Facebook Graph returns JSON so this needs to be parsed with JSON.parse (requires 'json'). I put all the results in the "likes" hash (keys are URLs, values are the number of likes). You could sort it numerically descending in Ruby, but I was comfortable doing it from the cli with "ruby getBlogLikeStats.rb | sort -n -k2"
And that is all there is to it. Building this in Ruby turned out to be a painless and fun process. And that for somebody that still has to learn the language basics, nice!
Source is printed below and you can download it here.
#!/usr/bin/env ruby require 'net/https' require 'rexml/document' require 'json'; urlXml = 'http://bobbelderbos.com/sitemap.xml' url = 'https://graph.facebook.com/?ids=' likes = Hash.new; xml_data = Net::HTTP.get_response(URI.parse(urlXml)).body doc = REXML::Document.new(xml_data) doc.elements.each('urlset/url/loc') { |element| url += element.text + "," } uri = URI.parse(url[0..-2]) http = Net::HTTP.new(uri.host, uri.port) http.use_ssl = true request = Net::HTTP::Get.new(uri.path + "?" + uri.query) response = http.request(request) data = response.body result = JSON.parse(data) result.each { |url| likes[url[1]['id']] = url[1]['shares'] } likes.each do|url,numLikes| puts "#{url}: #{numLikes}" end
Have fun!
With the Tweetmeme API you can easily query the amount of tweets. Only incovenience is that http://api.tweetmeme.com/url_info.json?url accepts only 1 URL at the time it seems, so you need to make a call for each URL (as opposed to the earlier mentioned Facebook Graph API that does handle multiple URLs in one call)
Ruby code to get your tweet stats:
Executing the script from CLI:
#!/usr/bin/env ruby # copyright (c) 2012 Bob Belderbos # created: January 2012 require 'net/http' require 'uri' require 'rexml/document' require 'json' require 'pp' urlXml = 'http://bobbelderbos.com/sitemap.xml' url = 'http://api.tweetmeme.com/url_info.json?url=' xml_data = Net::HTTP.get_response(URI.parse(urlXml)).body doc = REXML::Document.new(xml_data) doc.elements.each('urlset/url/loc') do |element| url += element.text resp = Net::HTTP.get_response(URI.parse(url)) data = resp.body result = JSON.parse(data) print "#{result['story']['url']} => #{result['story']['url_count']}n" end


[Home]
Terminology and Notations
This lexicon uses a lot of notations for consistency and brevity of descriptions. Most of these notations follow the general patterns used by other authors when writing about Tolkien’s languages.
General Notations
- bold marks the primary words or entry currently under discussion
- italic marks other words in Tolkien’s fictional languages not currently under discussion
- “quotes” are for glosses and translation into real-world languages, usually (though not always) English
Language Notations
- Q. is used for Quenya words
- S. is used for Sindarin words
- † is used for archaic or poetic words
- ✶ marks primitive word forms, usually (though not always) Primitive Elvish
- √ marks a primitive base or root, usually (though not always) Primitive Elvish
- For abbreviations of other languages, see the Language Index.
- Language markers are omitted from lists and discussions for a specific language: Q. is not used in the Quenya word list
Period Notations
- See the Conceptual History of Elvish for the time periods designations used in this lexicon
- ᴱ superscript marks Early Period forms: ᴱQ. = Early Qenya
- ᴹ superscript marks Middle Period forms: ᴹQ. = Middle Quenya
- Unmarked languages that span multiple periods are late forms: Q. = Late Quenya
- Languages that appear primarily in a single period have no period marker for that period: N. = Noldorin (Middle Period)
- ᴸ superscript marks Late Period forms of earlier languages: ᴸN = Late Noldorin
- ᴺ superscript marks Neo-Language constructions by authors other than Tolkien, e.g. Neo-Quenya (ᴺQ.) or Neo-Sindarin (ᴺS.)
Derivation Notations
- < or > indicate a form that developed etymologically from an older form
- ← or → indicate a form derived grammatically from another form
- ⇐ or ⇒ indicate a word composed of other words as elements
- << or >> indicate changes Tolkien made from one form to another
- «« or »» indicate editorial corrections for errors in previously published materials
Reference Notations
- italics are used for the titles of published works: The Lord of the Rings
- italics are also used for major linguistic documents published within other works: the Gnomish Lexicon
- “quotes” are used for articles, short documents and unfinished stories within other works: the “Unfinished Index”
- Abbr/Page is the common format for references to published works: LotR/435 = The Lord of the Rings p. 435
- Detailed references have a decimal notation, usually indicating line and word position on a page: LotR/1117.1405 (line 14, word 5)
- A full set of reference abbreviations can be found in the References Index.
Reliability Markers
- Words directly attested in Tolkien’s writing are unmarked and followed by a reference (Abbr/Page)
- # marks words that can derived from attested words via grammatical rules or as elements of compounds
- * marks words that are reconstructed but can be reasonably deduced by comparison to other words
- ^ marks words that are reformulated from early versions of the languages to fit the structure of later languages
- ? marks words that are more speculative, but still deduced from original source material
- ‽ (interobang) is used where Tolkien himself wrote a “?” in the source material
- ! marks words that are pure neologisms: fabrications and inventions by authors other than Tolkien
- ⚠ marks words that are not recommended (by this lexicon) for Neo-Quenya or Neo-Sindarin writing
Glosses may also have reliability markers.
- * marks “reconstructed” or fan-invented glosses, usually deduced from context or cognates from other language, or English synonyms
that better illustrate the particular connotations of a word
- ? marks more speculative reconstructed glosses
- ⚠ marks glosses that are not recommended (by this lexicon) for Neo-Quenya or Neo-Sindarin writing
Additions and Deletions
- [brackets] mark editorial additions to original texts, both those of other authors and my own
- strike-through marks words deleted by Tolkien from the original text
- {braces} also marks deletions from original texts, where a strike-through would be unclear
- double braces marks words and glosses appearing in a deleted section, where the word itself was not specifically rejected
Phonetic Notations
- [brackets] mark phonetic descriptions, usually in IPA notation (International Phonetic Alphabet)
- See the Phonetic Descriptions for further phonetic notations and terminology


Medicines must be effective (to treat the disease or ailment), safe (not have side effects), and stable (so that they can be stored for a long time).
Developing medicines is a long-term process. Companies want to make profits from the years of research and testing, so drugs are often patented.
New medicines (drugs) are initially tested on different human cells in the lab, then on animals, then in long-term clinical human trials.
The lab tests confirm if the drug works against the disease; the animal tests show how a whole living creature reacts and in what dose; the human trials confirm if the drug really works for humans, and is safe.
Volunteers for human trials of a drug have the disease. A control group in the trial receives the currently-used drug or a placebo (e.g. a fake pill with no drug in it). If the drug being investigated works, placebo patients’ health may get worse. Yet trials ‘need this to happen’ to compare.
In blind trials doctors know they are giving the drug but patients do not. The doctor can then look out for particular effects.
In double-blind trials neither the doctor nor the patient knows if the drug is being given. In this way it is impossible for either of them to make any biased judgments. A third party makes the judgments.
In open label trials the patient and doctor are both aware of the treatment. Often this occurs in a situation of ‘last resort’, for patients almost certain not to recover. No placebo is given here.
Case studies: thalidomide, statins (AQA)
Thalidomide was developed as a sleeping pill in the 1950s. Later it was also found to stop morning sickness in pregnant women. It became a common prescribed drug.
However, it was not as fully tested as new drugs are tested today. Sadly, many pregnant women who took the drug found that their babies were born with severe limb deformities.
Today, thalidomide is still used, with great caution, to treat some forms of cancer. This tells us that drugs and medicines are a difficult moral topic: no drug can be guaranteed completely safe, while at the same time some drugs are not always completely bad for us, either.
Statins are drugs that help the liver to reduce cholesterol in the blood. High blood cholesterol is thought to increase the risk of heart disease, heart attacks and strokes. Statins therefore help to control a very common modern health problem.
However, there are concerns that these relatively new drugs may affect the liver in additional ways: the theoretical possibility exists that they may damage it. Evidence suggests that statins can raise liver enzymes above normal levels; sometimes they also cause muscle cramp.
The effects of statins are still being studied. Although they are thought to be very safe, a doctor cannot be sure at the outset which statin may have adverse effects on a particular patient.


This is a demo server created to check embedded web/ws/lua-cgi capability of the luOS IoT.
Use it for testing.
To see, edit or write your own code see "html" folder of spiffs image.


c7-motivation
How does life look through the 'pleasure, passion and purpose' lens?
One interesting feature about these three lens is their varying sustainability.
- Life through pleasure len:This type of happiness is about always chasing the next high which
means it is highly unsustainable.
- Life through passion len:Happiness that arises from passion is much more sustainable and you are far less likely to habituate to it.
- Life through higher purpose len:This is about being part of something bigger than yourself that has meaning to you.
Thus, this form of happiness is very resilient and highly sustainable.
From the 'discovering values and higher purpose' exercise,
What are your core values?
- I believe that us as human being should respect nature, reduce to the least of disturbing our earth(e.g.buy wisely,less is better).
- I believe people should be honest to themselves.
- I believe finding your true love is a must-to-do thing though it sounds quite a luxury stuff.
- I believe in maintaining a healthy work/life balance.
- I believe that family and friendship are of fundamental importance.
What do you stand for?
I stand for world peace and truth and still stand even when no one else will stand with me(Prefer someone could stand with me though).
How did you find the resilience ideas and meditation exercise?
It did mention in this chapter that we can train resilience on 3 levels: Inner calm,emotional resilience and cognitive resilience.
I only did this type of meditation exercise once so hard to tell the result. But I love these theories. It makes me feel like no matter what a bad day you have, there is always a solution waiting for you, an inner calmness you can get access to.
Any other musings?
Higher purpose > Passion > Pleasure.


You can specify useCheckboxes option to show checkboxes, and the tree selection APIs to control and access which node is currently selected.
By default, parent nodes reflect and control the status of children.
If you wish to override this behaviour, specify useTriState: false
in the options.


digest/hmac.rb
An implementation of HMAC keyed-hashing algorithm
Overview
This library adds a method named hmac() to Digest classes, which creates a Digest class for calculating HMAC digests.
Examples
require 'digest/hmac' # one-liner example puts Digest::HMAC.hexdigest("data", "hash key", Digest::SHA1) # rather longer one hmac = Digest::HMAC.new("foo", Digest::RMD160) buf = "" while stream.read(16384, buf) hmac.update(buf) end puts hmac.bubblebabble
License
Copyright © 2006 Akinori MUSHA
Documentation by Akinori MUSHA
All rights reserved. You can redistribute and/or modify it under the same terms as Ruby.
$Id: hmac.rb 14881 2008-01-04 07:26:14Z akr $
Required Files
- digest
Classes and Modules
- MODULE Digest


--- layout: post title: Foss.in date: 2007-10-05 01:18:53.000000000 +05:30 categories: - tech tags: [] status: publish type: post published: true meta: {} author: login: admin email<EMAIL_ADDRESS>display_name: admin first_name: '' last_name: '' ---
Foss.in 2007 is here. And I'm looking forward to a lot more of techiness this time around. Are you in bangalore in the first week of December? Then do plan on attending the event.
Heres the link: foss.in
See you there :)


Ability to retrieve a web page, extract its HTML and any other related files, and save it to your computer.
Use the highlighter tool directly on the saved web page to bring attention to relevant or important sections and the comment capability to add your notes to highlighted content.
Search quickly and efficiently through saved web pages and annotations.
Search quickly and efficiently through saved web pages and annotations.
Capture
The Web is not a static entity, pages are subject to change at any given time. This can be a problem for those who want to always be able to access a page as it appears. WebCache is here to solve this problem! The application provides the ability to retrieve a web page, extract its HTML and any other related files, and save it all to your computer.
Annotations
While reading documents, you may come across an entry that you don't want to have to look for again. Use the highlighter tool directly on the saved webpage to bring attention to relevant or important sections. You can also add comments to any given highlight for seamless note taking.
Search
Save a useful webpage for later reference and forget where you put it? WebCache has you covered. Through the application, users are able to search quickly and efficiently through saved web pages and annotations. Recall what was in the webpage but not what your comment said or vice versa? Rest assured that WebCache supports searching by either one!
Scrapbook Compatibility
Scrapbook was a webcaching application for Firefox that supported many of the features that WebCache is now home to. Unfortunately for users of the app, its support has now been discontinued. If you were an old user of Scrapbook, your worries are over! WebCache allows users to import their old cached webpages, complete with added annotations. Comments and highlights associated with the page are all supported and displayed within WebCache.


Samantha Louzon and Robert Cooper are getting married!
2016-05-28 17:00:002016-05-28 24:00:00America/DetroitLouzon/Cooper WeddingWedding for Samantha Louzon and Robert CooperFrankenmeuth BrewerySamantha<EMAIL_ADDRESS>Save the date: May 28th, 2016 at Frankenmeuth Brewery in Frankenmeuth, MI.
We hope you'll be able to make it!
Time and hotel reservation details to follow...
If you have any ideas for the ceremony and/or want to read/perform anything, please
contact Jennifer Ryan at<EMAIL_ADDRESS>or 248.......


The following error(s) must be fixed:
- ONC-ACB is required
- Complainant Type is required
- Complainant Type - Other Description is required
- Received Date is required
- Received Date is improper format (mm/dd/yyyy)
- Closed Date is improper format (mm/dd/yyyy)
- ONC-ACB Complaint ID is required
- Complaint Summary is required
The following error(s) must be fixed:


Reading group?
{{reading-group.introduction}}
How to participate?
{{reading-group.participate}}
When and where?
Mailing list: {{reading-group.mailinglist}}
We hope to add the details of the papers discussed and the paper presenters in this page in the future. Currently this page is under development. Please await more updates.


Environmental stewardship is core to Greenworks. The Environment section focuses on three areas of particular concern: reducing greenhouse gas emissions by 20 percent; improving air quality toward attainment of federal standards; and diverting 70 percent of solid waste from landfill. The following project areas in the Greenworks Map contribute to these targets:


Virus (Reviewed on Jan. 16/99)
Starring Jamie Lee Curtis, Donald Sutherland, Billy Baldwin
"Virus" is a monster movie without a monster. Any movie with a hurdle that large to overcome had better be pretty damn good otherwise. Sadly, "Virus" does not deliver, on any level.
The movie opens with the Russian space station Mir about to transmit something (we never find out what) to a big boat with lots of satellites on it. Sudddenly, a wave of colorful lightning comes flying through space, and winds up destroying Mir and using it to transmit itself to the aforementioned big boat. Cut to seven days later, we meet Donald Sutherland and his band of seafaring vultures. See, they spend all their time sailing around looking for dead-in-the-water ships to rescue, and then collect the reward money. At least, I *think* that's what they do. Along with many other things in the film, their reason for being out in the middle of the ocean isn't really explained.
So, they stumble upon this big boat with lots of satellites on it, and decide to haul it back to Russian waters. The only problem is, the crew starts disappearing one-by-one and turning into Borg. Yes, Borg. Complete with the red laser beam in place of an eye. Apparently, this alien lifeform can only survive if inside something electrical. So, it creates make-shift machines and uses humans for "spare parts".
Blah, blah, blah. I could go on forever describing the ludicrous so-called plot, but I won't. Suffice it to say the most original thing about this movie is having Donald Sutherland play an Irish man (!). Everything else in this movie has been taken from other (better) movies. For example, many of the machines resemble those found in the little-seen Japanese movie, "Tetsuo-The Iron Man". And the plot is right out of "Aliens".
The funny thing is, I was actually expecting to enjoy this movie. I have a soft spot for cheesy monster movies, like last years under-appreciated "Deep Rising". But "Virus", as I mentioned earlier, doesn't even have a monster. It just has a big pile of circuits and wires and expects the audience to fear this ridiculous looking contraption.
"Virus" is the type of movie that really makes you wonder what the screenwriter was thinking about when he wrote it.  For example, there is a scene late in the movie in which one of the characters actually attempts to *negotiate* with the alien! Now, I don't know about you, but if I came upon a lifeform that viewed mankind as a virus to be eliminated, I doubt that I would attempt to reason with it. That makes about as much sense as a baby squirrel calmly asking a fierce predator to spare his life.
Finally, "Virus" isn't scary. The least the filmmakers could have done was to make the movie just a little scary. As it is, it's about as frightening as a box of cookies.
Skip "Virus". If it's a cool monster movie you want, rent the far superior (and the granddaddy of this genre) "Aliens".
*1/2 out of ****
David Nusair<EMAIL_ADDRESS>:"Yesterday, the last professional hockey player to play without a helmet : ; announced he's retiring. His actual words were, `I no play hockey never ; : more.'" -Conan O'Brien :
Dept. of Good Vibes, Come visit my Reel Film Reviews site Carleton University at "http://chat.carleton.ca/~dnusair"
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