EMMA A film review by Scott Renshaw Copyright 1996 Scott Renshaw
Starring: Gwyneth Paltrow, Toni Collette, Jeremy Northam, Alan Cumming, Ewan McGregor, Greta Scacchi, Juliet Stevenson, Polly Walker, Sophie Thompson. Screenplay: Douglas McGrath. Director: Douglas McGrath. Reviewed by Scott Renshaw.
When last we left Miss Emma Woodhouse, she was living in Beverly Hills, happily in love with her step-brother...oh, and her name was Cher. She was the lead character in a smart and utterly charming 1994 film called CLUELESS, although she was never expressly named, and that makes EMMA an experience of intense deja vu, even more so given the spate of recent adaptations of other Jane Austen novels. That places everyone involved with EMMA in positions of uncomfortable but inevitable immediate comparison -- director Douglas McGrath trying to portray upper class life in 19th century England as artfully as SENSE AND SENSIBILITY's Ang Lee, Gwyneth Paltrow competing with Alicia Silverstone for brattish adorability, and so on. Given these challenges, EMMA becomes almost more entertaining than it already is on its own merits, another witty and winning addition to the Austen canon, in which Paltrow becomes a bona fide leading lady.
Paltrow's Emma is a young woman living in the Surrey town of Highbury, where her recent successful pairing of her former governess (Greta Scacchi) and landowner Mr. Weston (James Cosmo) has her eager to play matchmaker again. Her target is the recently arrived Harriet Smith (Toni Collette), whom Emma sees as an ideal match for the minister Mr. Elton (Alan Cumming); Mr. Elton, however, has designs on someone else entirely. Mr. Frank Churchill (Ewan McGregor) is another possible suitor, though Emma isn't sure that she doesn't want him for herself. All this is observed by Emma's brother-in-law Mr. Knightley (Jeremy Northam), who tries to discourage her interference with honest counsel, then finds himself caught up in Emma's complicated romantic world.
As I considered Gwyneth Paltrow's performance in EMMA, I recalled an old George Carlin routine in which he concluded that the reason dogs were more expressive than cats was that dogs had eyebrows. This observation in no way means to compare Paltrow to a dog (far from it, though that is another kettle of hormones entirely), but to describe why I think Paltrow may be the most expressive young actress working: in short, she has phenomenal eyebrows. If it seems I am doing an injustice to her ability to interpret a line, or to her impressive British accent, I do not mean to do so. It is simply that there are moments in EMMA where Paltrow adopts a facial expression so utterly perfect that her infuriating ability to make you care about her despite her pettiness and manipulation seems drawn from the soul of Austen's novel. There are actors in films today that it is distressingly clear will never know how to act with a degree of subtlety which allows a shift of the eye or a hint of a frown to advance their character. At the ripe old age of 22, Gwyneth Paltrow gives a clinic on acting for the screen in EMMA.
It is a blessing that she is able to do so, since she has to carry much of the first half of the film. McGrath's rookie direction is somewhat static, and the Harriet-Emma-Mr. Elton triangle is hampered by a surprisingly stuffy performance by Toni Collette. It is the late introduction of Frank Churchill and Mr. Elton's new wife (Juliet Stevenson) which kick-starts EMMA into enough energy to match its cleverness. Ewan McGregor (the heroin-addicted Renton in the current TRAINSPOTTING) infuses Churchill with a charisma which proves a match for Emma's nonchalance about her own love life; a scene in which he seizes her fancy by proving men can gossip as well as women is an utter joy. Emma finds a match of another kind in Mrs. Elton, a self-obsessed busybody whom Emma comes to dislike intensely, perhaps because they are too much alike, and Juliet Stevenson plays the part of the shrew with a casual good humor which undercuts the stereotype. And I would be remiss in not pointing out the delightful performances by Sophie Thompson as the garrulous spinster Miss Bates and Jeremy Northam as the dashing Mr. Knightley.
It is more than a bit distracting at times to be only 12 months removed from the release of CLUELESS; duplicated details like Harriet burning silly little mementos of Mr. Elton lose some of their snap in their familiarity. But McGrath's screenplay is a gem of humor and sparkling characterizations, and is more than faithful to the spirit of his source material. Most importantly, he has cast his lead role with a keen sense of its challenges -- he needed an actor with a willingness to play a vain, foolish and snobbish young woman without winking at us to make sure we don't dislike her. She trusts her ability to make Emma's good heart shine through her youthful conviction in her own infallibility, and McGrath is wise to trust her as well. Both prove far from clueless in that respect.
On the Renshaw scale of 0 to 10 EMMA-nent domains: 8.
-- Scott Renshaw Stanford University http://www-leland.stanford.edu/~srenshaw
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If you are blessed enough to have friends from the Bay Area, you would know why you are not blessed enough to live in the Bay Area. They cannot help but make you painfully aware of the beautiful weather, the great food, and glorious culture. No argument, no data, no experience seems capable of swaying someone from The Bay into speaking poorly of it. If you don’t see the Bay Area as the best place on earth, you just haven’t looked. San Francisco and the wider Bay Area make up Silicon Valley, the epicenter of digital change for the modern era. My Baysian friends can grow exhausted from the challenge of listing even a fraction of San Francisco’s admirable qualities.
Here’s just a quick example from food. If I bring up the diversity of traditional food choices from across the globe presented around Houston through restaurants founded by enterprising immigrants, the true cacophony of tastes and smells afforded to such a flat land, I am quickly reminded that “the Bay has such good food”. When rankings place Houston among the top cities for cuisine in the country, with reviewers specifically noting how vast the choice of delicious affordable options are, I am quickly reminded that “San Francisco has such good food though.”
San Francisco, the shining city on an island which smells of fresh sea breezes and which looks as pristine as an unused napkin. The sun rises only for it. When it sets it does regretfully, waiting to rise again the next day to behold its love, its garden, its San Francisco.
A recent visit to San Francisco allowed me to finally understand the hype (spoiler: and reject it). Upon exiting the airport, I felt buoyed by the lightness and cleanliness of the air. The temperature outside hovered around 70 degrees. The weight of the Houston summer fell off in layers as I breathed in each successive breath. The BART public transport system took me downtown quickly and cheaply. I love effective public transportation, so I really appreciated the chance to travel around easily at a low price through a publicly run and publicly accessible system (*cough* unlike Houston *cough*).
Even when I arrived downtown, I couldn’t help but smile. To actually be in the Bay! I spent the day walking through streets and grabbed lunch with a friend working in an architecture firm a block from Washington Square Park. On the second day, I felt lavishly pampered while doing some work at Facebook’s headquarters and enjoy the free espresso bar and organic snacks. On my last day in town I took the ferry to visit Angel Island State Park. By this point the gears of the city had worn me down and I needed to get away, to interact with nature and hike on a dirt trail, surrounded by trees and water. I loved the ferry ride and state park, perhaps even more so because of their simplicity and genuineness. In a way, I felt largely that San Francisco lacked these things.
I spent a good amount of time during my trip trying to understand why I didn’t feel right, and why I was growing weary of the city, considering all its beauty, pace, and good qualities. I kept mentioning to the friend I stayed with how something felt a bit off, and we laughed about it because I really did sound a bit ridiculous, because despite everything nice about the area it seemed I refused to accept it. Perhaps my thoughts toward the city beforehand colored my experience negatively, and so I felt a lingering uneasiness despite what I experienced when I actually got there. But rather than diminish, the uneasiness grew during my time in the Bay, which suggests more causation on the part of the location than on the part of my prior questioning of the Bay’s splendor.
As an aside, the Bay really doesn’t hold much of a candle’s flame to Houston in the culture of food. Due in part to the high cost of space and living, and the limited diversity compared to Houston, The Bay let me down in this regard. But I still appreciated the food, and accepted the higher prices and increased levels of pretension in part due to San Francisco being a town with many tourists.
Back to the point, my uneasiness toward the city spiked during my morning runs, when I passed through Market Street and observed the high priced, shuttered shops contrasted with groups of homeless men and women living in abject poverty a few feet away on the side walk. Streets with pricey houses held the fresh scent of the coast, but many others smelled of urine and trash, and indeed were covered in the latter noticeably, and the former through conjecture. When I spent time at the tech headquarters, be it Uber or Facebook, people around me talked so candidly about social progress, the effects of AI on humanity in the next 50 years, and how new economic models like ride sharing would pave the way for cheap efficient transportation through self-driving cars. Cloud computing became an abstract concept beyond the services offered by Amazon or Microsoft, such that not just their servers but their minds, it appeared, were in the clouds.
The city reflected in many aspects the progress of humanity, but also represented how humans don’t change. In understanding history, it is evident that in the constant pursuit of wealth and power, a small portion of individuals inevitably appears at the top of the heap. Again, and again, and again, and again this system of triumph and oppression has occurred both in American society and more broadly in general western society. It is why Kings believed in a flat earth and leveled society, and Marx believed in a round earth and flat society, and why communist ideals became so popular in the 19th to 20th century and ultimately were corrupted in such a predictable way through the state. There within humanity is an essential desire to be set apart, placed above the rest.
A brilliant article by Thomas Fuller for the New York Times highlights some of my feelings toward the city. His commentary on coming home from abroad and observing different forms of poverty were particularly relatable for me. Check it out here.
As wealth shifts into the hand of generally highly educated people the path of history appears to be seeking to repeat itself beneath the liberal sheen of intellectualism. The rich influx of money, which has caused San Francisco’s housing market to balloon so incredibly, passively establishes the haves and have-nots through ruthless economics. I am still not able to fully speak to what afflicted my thoughts toward the city, but often human intuition towards a situation can be inexplicably poignant. Tell that to the hyper rationalist tech mogul.


Current Location: University of Toronto
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Current Location: University of Toronto
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A Minecraft Server is what our group deployed for our final
project in the Networking 3 - Linux class. There are five members
in the group and each one has a special role to work wit. Check out
our Github accounts to find out more and see the documentation that
goes along with our project.
The Minecraft Server is running and needs all hands on deck!!!!
Our final documentation can be found HERE.


Project 1: NULL
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Curious first-generation third year Computer Science student with experience
in leadership, collaboration, and problem solving.
Looking to enhance technical skills through an engaging internship or full-time
opportunity in the field of software engineering for Summer 2020.


Igor Cicimov
DevOps at Encompass
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Nginx LDAP module on Debian/Ubuntu
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HAProxy dynamically adjust server weight using external agent
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HAProxy OCSP stapling
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Tomcat9, ECDSA/ECC (Elliptic Curve) Certificates and HTTP/2
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KOLYA A film review by Ben Hoffman Copyright 1997 Ben Hoffman
This is the Czech entry for the Academy's best Foreign Film. I have never yet seen a Foreign Film entry that I did not like, and KOLYA is no exception. True there are periods when the action does not seem to be moving fast enough but those are mostly at the film's beginning. The film picks up greatly, however, with the appearance of 5-year-old Kolya (the 6-year-old Andrej Chalimon who was discovered in a kindergarten.)
Every moment in which Kolya appears is delightful and once he enters the story he dominates the film. He is a very handsome child, who with a little luck will be asked to act in many films in his future. He seems born to act; his face, his movements, are all professional yet childlike. One wants to hug him.
The story is of Fratizek Louka (Zdenek Sverak, who also wrote the screenplay), a cellist in the Czech Philharmonic but, with Russia's army in Czechoslovakia, he cannot earn enough to live on and so he supplements his income by playing in a chamber group at funerals.
A friendly grave-digger suggests that Fratizek marry his niece; not a real marriage but signing a slip of paper. In exchange he will be paid sufficient money to buy a small car, pay his rent. Fratizek wants to remain in every way a bachelor but when he sees the pretty niece, he relents.
Things now happen quickly.  In no time at all, as we can easily surmise, Fratizek and Kolya love each other as if they were, in fact, father and son.
A delightful film.
In Czech with English subtitles.
Directed by Jan Sverak.
3.5 BYTES
4 Bytes = Superb 3 Bytes = Too good to miss 2 Bytes = Average 1 Byte = Save your money
Ben Hoffman
The review above was posted to the
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--- title: About layout: page permalink: /about.html # add image to index page bootstrap jumbotron featured-image: ---
This ongoing exhibit was inspired by the numerous photographs in University of Idaho's Digital Collections that depict the campus structure and culture throughout the 20th century.
In July 2019, the University of Idaho's Center for Digital Inquiry and Learning (CDIL) undergraduate fellow Rylee Robertson set about retaking these photos so that the differences and similarities of the UI campus might be explored by alumni and current students alike. The resulting photos are displayed on this site using Northwestern University's Knight Lab tool JuxtaposeJS, and the site was built using the University of Idaho's own CollectionBuilder platform.
The images in this exhibit have been curated from The University of Idaho Historical Photos Collection, The University of Idaho Campus Photograph Collection, The University of Idaho Student Organizations Collection, and The Theodore Roosevelt collection.


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sparknlp_jsl.annotator.MedicalNerApproach¶
- class sparknlp_jsl.annotator.MedicalNerApproach[source]¶
Bases:
sparknlp.common.AnnotatorApproach
,sparknlp.annotator.NerApproach
This Named Entity recognition annotator allows to train generic NER model based on Neural Networks.
The architecture of the neural network is a Char CNNs - BiLSTM - CRF that achieves state-of-the-art in most datasets.
For instantiated/pretrained models, see
NerDLModel
.The training data should be a labeled Spark Dataset, in the format of
CoNLL
2003 IOB with Annotation type columns. The data should have columns of typeDOCUMENT, TOKEN, WORD_EMBEDDINGS
and an additional label column of annotator typeNAMED_ENTITY
.Excluding the label, this can be done with for example:
a SentenceDetector,
a Tokenizer and
a WordEmbeddingsModel (any embeddings can be chosen, e.g. BertEmbeddings for BERT based embeddings).
For extended examples of usage, see the Spark NLP Workshop.
Input Annotation types
Output Annotation type
DOCUMENT, TOKEN, WORD_EMBEDDINGS
NAMED_ENTITY
- Parameters
- labelColumn
Column with label per each token
- entities
Entities to recognize
- minEpochs
Minimum number of epochs to train, by default 0
- maxEpochs
Maximum number of epochs to train, by default 50
- verbose
Level of verbosity during training, by default 2
- randomSeed
Random seed
- lr
Learning Rate, by default 0.001
- po
Learning rate decay coefficient. Real Learning Rage = lr / (1 + po * epoch), by default 0.005
- batchSize
Batch size, by default 8
- dropout
Dropout coefficient, by default 0.5
- graphFolder
Folder path that contain external graph files
- configProtoBytes
ConfigProto from tensorflow, serialized into byte array.
- useContrib
whether to use contrib LSTM Cells. Not compatible with Windows. Might slightly improve accuracy
- validationSplit
Choose the proportion of training dataset to be validated against the model on each Epoch. The value should be between 0.0 and 1.0 and by default it is 0.0 and off, by default 0.0
- evaluationLogExtended
Whether logs for validation to be extended, by default False.
- testDataset
Path to test dataset. If set used to calculate statistic on it during training.
- includeConfidence
whether to include confidence scores in annotation metadata, by default False
- includeAllConfidenceScores
whether to include all confidence scores in annotation metadata or just the score of the predicted tag, by default False
- enableOutputLogs
Whether to use stdout in addition to Spark logs, by default False
- outputLogsPath
Folder path to save training logs
- enableMemoryOptimizer
Whether to optimize for large datasets or not. Enabling this option can slow down training, by default False
Examples
>>> import sparknlp >>> from sparknlp.base import * >>> from sparknlp.common import * >>> from sparknlp.annotator import * >>> from sparknlp.training import * >>> import sparknlp_jsl >>> from sparknlp_jsl.base import * >>> from sparknlp_jsl.annotator import * >>> from pyspark.ml import Pipeline
First extract the prerequisites for the NerDLApproach
>>> documentAssembler = DocumentAssembler() \ ... .setInputCol("text") \ ... .setOutputCol("document") >>> sentence = SentenceDetector() \ ... .setInputCols(["document"]) \ ... .setOutputCol("sentence") >>> tokenizer = Tokenizer() \ ... .setInputCols(["sentence"]) \ ... .setOutputCol("token") >>> embeddings = BertEmbeddings.pretrained() \ ... .setInputCols(["sentence", "token"]) \ ... .setOutputCol("embeddings")
Then the training can start
>>> nerTagger = MedicalNerApproach() \ ... .setInputCols(["sentence", "token", "embeddings"]) \ ... .setLabelColumn("label") \ ... .setOutputCol("ner") \ ... .setMaxEpochs(1) \ ... .setRandomSeed(0) \ ... .setVerbose(0) >>> pipeline = Pipeline().setStages([ ... documentAssembler, ... sentence, ... tokenizer, ... embeddings, ... nerTagger ... ]) >>> conll = CoNLL() >>> trainingData = conll.readDataset(spark, "src/test/resources/conll2003/eng.train") >>> pipelineModel = pipeline.fit(trainingData)
Methods
__init__
()clear
(param)Clears a param from the param map if it has been explicitly set.
copy
([extra])Creates a copy of this instance with the same uid and some extra params.
explainParam
(param)Explains a single param and returns its name, doc, and optional default value and user-supplied value in a string.
Returns the documentation of all params with their optionally default values and user-supplied values.
extractParamMap
([extra])Extracts the embedded default param values and user-supplied values, and then merges them with extra values from input into a flat param map, where the latter value is used if there exist conflicts, i.e., with ordering: default param values < user-supplied values < extra.
fit
(dataset[, params])Fits a model to the input dataset with optional parameters.
fitMultiple
(dataset, paramMaps)Fits a model to the input dataset for each param map in paramMaps.
Gets current column names of input annotations.
Gets column for label per each token.
Gets whether Annotator should be evaluated lazily in a RecursivePipeline.
getOrDefault
(param)Gets the value of a param in the user-supplied param map or its default value.
Gets output column name of annotations.
getParam
(paramName)Gets a param by its name.
getParamValue
(paramName)Gets the value of a parameter.
hasDefault
(param)Checks whether a param has a default value.
hasParam
(paramName)Tests whether this instance contains a param with a given (string) name.
isDefined
(param)Checks whether a param is explicitly set by user or has a default value.
isSet
(param)Checks whether a param is explicitly set by user.
load
(path)Reads an ML instance from the input path, a shortcut of read().load(path).
read
()Returns an MLReader instance for this class.
save
(path)Save this ML instance to the given path, a shortcut of 'write().save(path)'.
set
(param, value)Sets a parameter in the embedded param map.
setBatchSize
(v)Sets batch size, by default 64.
Sets configProto from tensorflow, serialized into byte array.
setDropout
(v)Sets dropout coefficient, by default 0.5.
setEnableMemoryOptimizer
(value)Sets Whether to optimize for large datasets or not, by default False.
setEnableOutputLogs
(value)Sets whether to use stdout in addition to Spark logs, by default False.
setEntities
(tags)Sets entities to recognize.
Sets whether logs for validation to be extended, by default False.
setGraphFile
(ff)Sets path that contains the external graph file.
Sets folder path that contain external graph files.
Sets whether to include all confidence scores in annotation metadata or just the score of the predicted tag, by default False.
setIncludeConfidence
(value)Sets whether to include confidence scores in annotation metadata, by default False.
setInputCols
(*value)Sets column names of input annotations.
setLabelColumn
(value)Sets name of column for data labels.
setLazyAnnotator
(value)Sets whether Annotator should be evaluated lazily in a RecursivePipeline.
setLogPrefix
(s)Sets folder path to save training logs.
setLr
(v)Sets Learning Rate, by default 0.001.
setMaxEpochs
(epochs)Sets maximum number of epochs to train.
setMinEpochs
(epochs)Sets minimum number of epochs to train.
setOutputCol
(value)Sets output column name of annotations.
Sets folder path to save training logs.
setOverrideExistingTags
(value)Sets whether to override already learned tags when using a pretrained model to initialize the new model.
setParamValue
(paramName)Sets the value of a parameter.
setPo
(v)Sets Learning rate decay coefficient, by default 0.005.
setPretrainedModelPath
(value)Sets folder path to save training logs.
setRandomSeed
(seed)Sets random seed for shuffling.
setTagsMapping
(value)Sets a map specifying how old tags are mapped to new ones.
setTestDataset
(path[, read_as, options])Sets Path to test dataset.
Sets whether to use contrib LSTM Cells.
Sets the proportion of training dataset to be validated against the model on each Epoch, by default it is 0.0 and off.
setVerbose
(verboseValue)Sets level of verbosity during training.
write
()Returns an MLWriter instance for this ML instance.
Attributes
batchSize
configProtoBytes
dropout
enableMemoryOptimizer
enableOutputLogs
entities
evaluationLogExtended
getter_attrs
graphFile
graphFolder
includeAllConfidenceScores
includeConfidence
inputCols
labelColumn
lazyAnnotator
logPrefix
lr
maxEpochs
minEpochs
outputCol
outputLogsPath
overrideExistingTags
Returns all params ordered by name.
po
pretrainedModelPath
randomSeed
tagsMapping
testDataset
useContrib
validationSplit
verbose
- clear(param)¶
Clears a param from the param map if it has been explicitly set.
- copy(extra=None)¶
Creates a copy of this instance with the same uid and some extra params. This implementation first calls Params.copy and then make a copy of the companion Java pipeline component with extra params. So both the Python wrapper and the Java pipeline component get copied.
- Parameters
extra – Extra parameters to copy to the new instance
- Returns
Copy of this instance
- explainParam(param)¶
Explains a single param and returns its name, doc, and optional default value and user-supplied value in a string.
- explainParams()¶
Returns the documentation of all params with their optionally default values and user-supplied values.
- extractParamMap(extra=None)¶
Extracts the embedded default param values and user-supplied values, and then merges them with extra values from input into a flat param map, where the latter value is used if there exist conflicts, i.e., with ordering: default param values < user-supplied values < extra.
- Parameters
extra – extra param values
- Returns
merged param map
- fit(dataset, params=None)¶
Fits a model to the input dataset with optional parameters.
- Parameters
dataset – input dataset, which is an instance of
pyspark.sql.DataFrame
params – an optional param map that overrides embedded params. If a list/tuple of param maps is given, this calls fit on each param map and returns a list of models.
- Returns
fitted model(s)
New in version 1.3.0.
- fitMultiple(dataset, paramMaps)¶
Fits a model to the input dataset for each param map in paramMaps.
- Parameters
dataset – input dataset, which is an instance of
pyspark.sql.DataFrame
.paramMaps – A Sequence of param maps.
- Returns
A thread safe iterable which contains one model for each param map. Each call to next(modelIterator) will return (index, model) where model was fit using paramMaps[index]. index values may not be sequential.
New in version 2.3.0.
- getInputCols()¶
Gets current column names of input annotations.
- getLabelColumn()¶
Gets column for label per each token.
- Returns
- str
Column with label per each token
- getLazyAnnotator()¶
Gets whether Annotator should be evaluated lazily in a RecursivePipeline.
- getOrDefault(param)¶
Gets the value of a param in the user-supplied param map or its default value. Raises an error if neither is set.
- getOutputCol()¶
Gets output column name of annotations.
- getParam(paramName)¶
Gets a param by its name.
- getParamValue(paramName)¶
Gets the value of a parameter.
- Parameters
- paramNamestr
Name of the parameter
- hasDefault(param)¶
Checks whether a param has a default value.
- hasParam(paramName)¶
Tests whether this instance contains a param with a given (string) name.
- isDefined(param)¶
Checks whether a param is explicitly set by user or has a default value.
- isSet(param)¶
Checks whether a param is explicitly set by user.
- classmethod load(path)¶
Reads an ML instance from the input path, a shortcut of read().load(path).
- property params¶
Returns all params ordered by name. The default implementation uses
dir()
to get all attributes of typeParam
.
- classmethod read()¶
Returns an MLReader instance for this class.
- save(path)¶
Save this ML instance to the given path, a shortcut of ‘write().save(path)’.
- set(param, value)¶
Sets a parameter in the embedded param map.
- setConfigProtoBytes(b)[source]¶
Sets configProto from tensorflow, serialized into byte array.
- Parameters
- bList[str]
ConfigProto from tensorflow, serialized into byte array
- setDropout(v)[source]¶
Sets dropout coefficient, by default 0.5.
- Parameters
- vfloat
Dropout coefficient
- setEnableMemoryOptimizer(value)[source]¶
Sets Whether to optimize for large datasets or not, by default False. Enabling this option can slow down training.
- Parameters
- valuebool
Whether to optimize for large datasets
- setEnableOutputLogs(value)[source]¶
Sets whether to use stdout in addition to Spark logs, by default False.
- Parameters
- valuebool
Whether to use stdout in addition to Spark logs
- setEntities(tags)¶
Sets entities to recognize.
- Parameters
- tagsList[str]
List of entities
- setEvaluationLogExtended(v)[source]¶
Sets whether logs for validation to be extended, by default False. Displays time and evaluation of each label.
- Parameters
- vbool
Whether logs for validation to be extended
- setGraphFile(ff)[source]¶
Sets path that contains the external graph file. When specified, the provided file will be used, and no graph search will happen.
- Parameters
- pstr
Path that contains the external graph file. When specified, the provided file will be used, and no graph search will happen.
- setGraphFolder(p)[source]¶
Sets folder path that contain external graph files.
- Parameters
- pstr
Folder path that contain external graph files
- setIncludeAllConfidenceScores(value)[source]¶
Sets whether to include all confidence scores in annotation metadata or just the score of the predicted tag, by default False.
- Parameters
- valuebool
Whether to include all confidence scores in annotation metadata or just the score of the predicted tag
- setIncludeConfidence(value)[source]¶
Sets whether to include confidence scores in annotation metadata, by default False.
- Parameters
- valuebool
Whether to include the confidence value in the output.
- setInputCols(*value)¶
Sets column names of input annotations.
- Parameters
- *valuestr
Input columns for the annotator
- setLabelColumn(value)¶
Sets name of column for data labels.
- Parameters
- valuestr
Column for data labels
- setLazyAnnotator(value)¶
Sets whether Annotator should be evaluated lazily in a RecursivePipeline.
- Parameters
- valuebool
Whether Annotator should be evaluated lazily in a RecursivePipeline
- setLogPrefix(s)[source]¶
Sets folder path to save training logs.
- Parameters
- pstr
Folder path to save training logs
- setMaxEpochs(epochs)¶
Sets maximum number of epochs to train.
- Parameters
- epochsint
Maximum number of epochs to train
- setMinEpochs(epochs)¶
Sets minimum number of epochs to train.
- Parameters
- epochsint
Minimum number of epochs to train
- setOutputCol(value)¶
Sets output column name of annotations.
- Parameters
- valuestr
Name of output column
- setOutputLogsPath(p)[source]¶
Sets folder path to save training logs.
- Parameters
- pstr
Folder path to save training logs
- setOverrideExistingTags(value)[source]¶
Sets whether to override already learned tags when using a pretrained model to initialize the new model. Default is ‘true’
- Parameters
- valuebool
Whether to override already learned tags when using a pretrained model to initialize the new model. Default is ‘true’
- setParamValue(paramName)¶
Sets the value of a parameter.
- Parameters
- paramNamestr
Name of the parameter
- setPo(v)[source]¶
Sets Learning rate decay coefficient, by default 0.005.
Real Learning Rage is lr / (1 + po * epoch).
- Parameters
- vfloat
Learning rate decay coefficient
- setPretrainedModelPath(value)[source]¶
Sets folder path to save training logs.
- Parameters
- valuestr
Path to an already trained MedicalNerModel, which is used as a starting point for training the new model.
- setRandomSeed(seed)¶
Sets random seed for shuffling.
- Parameters
- seedint
Random seed for shuffling
- setTagsMapping(value)[source]¶
Sets a map specifying how old tags are mapped to new ones. It only works if setOverrideExistingTags
- Parameters
- valuelist
A map specifying how old tags are mapped to new ones. It only works if setOverrideExistingTags
- setTestDataset(path, read_as='SPARK', options={'format': 'parquet'})[source]¶
Sets Path to test dataset. If set used to calculate statistic on it during training.
- Parameters
- pathstr
Path to test dataset
- read_asstr, optional
How to read the resource, by default ReadAs.SPARK
- optionsdict, optional
Options for reading the resource, by default {“format”: “parquet”}
- setUseContrib(v)[source]¶
Sets whether to use contrib LSTM Cells. Not compatible with Windows. Might slightly improve accuracy.
- Parameters
- vbool
Whether to use contrib LSTM Cells
- Raises
- Exception
Windows not supported to use contrib
- setValidationSplit(v)[source]¶
Sets the proportion of training dataset to be validated against the model on each Epoch, by default it is 0.0 and off. The value should be between 0.0 and 1.0.
- Parameters
- vfloat
Proportion of training dataset to be validated
- setVerbose(verboseValue)¶
Sets level of verbosity during training.
- Parameters
- verboseValueint
Level of verbosity
- uid¶
A unique id for the object.
- write()¶
Returns an MLWriter instance for this ML instance.


@if(Session::has('error'))
{{Session::get('error')}}
@endif @if($errors->any())
@foreach($errors->all() as $error)
{{ $error }}
@endforeach
@endif
@csrf
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Amount Due To Pay
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<% projectName %>
Microservice bootstrap for GlassCat Application Server.
Use the forms below to test access to the
Hello
sample resource:
/test.api/v1.0/hello
Say Hello
/test.api/v1.0/hello/:userName
Say Hello
to


Linked Events provides categorized data on events and places. In the API, you can search data by date or location as well as city neighborhoods.
The API provides data in JSON-LD format.
The API is in beta phase. To help improve the API, please don’t hesitate to comment, give feedback or make suggestions to API's Github issues or through project page at dev.hel.fi
Use the browsable version of the API at the bottom of this page to explore the data in your browser.
Events are the main focus point of this API. Click on the event link below to see the documentation for events.


{% block title %}{% endblock %}
{% block emoji %}{% endblock %}
If you think you found a website bug, please
report this issue on GitHub
.
{% block extra %} {% endblock %}


Welcome Dashboard! This is my private message: {{message}} all my runtimes: {{componentRuntimes | json}}


Pricing and plans
6 months membership
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Have a question
Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt.
- 1-300-248-2456
All Classes
- Cardio Fitness
- Spinning
- Pilates
- Boxing
- Aerobics
- Kik Boxing
- CrossFit
- Yoga
Membership Prices
25% Discount of for all members
Discount on services and
treatments at the GymBase for
all membership cards holders.


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Seer Moira:
What? Did you really meet Khavatari Aren? Your answer sounds good, but it's the answer of someone who doesn't know what he is! Come back after you've given it more thought.


▶
◀
Finite Element Analysis: Longitudinal Rod Element
Displacement Magnitude:
1
Small
Large
Number of Elements:
24
1
24
Display Mode Shape:
1
1
25
Start
Reset
Mode Shapes
there should be a hidable modeshape plot


Users of email could encounter several malicious attacks on email including Spyware and Ransomware.
Spyware attack consist of eavesdropping and/or monitoring the users of the services and reports all the activity back to the source of the spyware. The aim of the spyware is to collect personal information such as passwords, Personal Identification Numbers, Social Security information, bank and credit accounts as well as other financial details. Those details are gained without consent as the software observers users behaviour to obtained the wanted information. Spyware is also able to change the function of the computer without the knowledge of the user and direct to unwanted webpages or overwhelm the users with a high amount pop-up ads. A scan done by America Online/National Cyber Security Alliance (AOL/NCSA) 80% computers of 329 clienteles had some kind of spyware programs. It should be noted that each infected computer contained on average 93 spyware components.
Ransomware works on the basis that it targets your critical data and systems for the purpose of extortion. Ransomware is often linked with phishing emails which are also discussed on this page. The users get locked out of their system or data and are presented with a demand of a ransom payment. When the ransom is payed the user is supposedly meant to get access back to their data and system.
A study about the current state of phishing, explains that phishing is a kind of “social engineering attack” which consists of using deceiving emails to hoax victims into sharing sensitive information such as passwords, credit card details and other personal information. Those emails are often try to imitate an email from trusted companies to again the trust of the users that are being targeted. The main concept of this attack that instead of targeting the system, it’s the users using these systems are the targets. As seen in the Anti-Phishing Working Group, 2017 report the number of users targeted are very high with number as high as 51, 265 in March of 2017 for number of unique phishing websites detected.
This could include simply sending an email error or clicking on an email that you were not meant to. This also included not paying attention to your email and leaving it unsupervised.
Do not open emails from unknown sources.
Do now download any documents from your email unless you are sure that it is safe to do so.
Do not give out your details to anyone you are not sure about.
Do not open emails from users that you do not know and do not open any links that they send you.
Do not open any links on your email which you are unsure about and if you do don’t share any personal information on those websites.
Do not give out your personal information such a card details to pages that look like a trustful source. If you get an email requesting this information make sure that the email is safe by checking with the company that is supposedly sending the email.
Pay attention. Be careful with what you post and what you open. If you do open a link by accident and something unexpected started happening, run your anti-virus to check if a virus wasn’t downloaded onto your device. Better safe than sorry!


The PWG held a "virtual" face-to-face meeting via WebEx teleconferences on November 15-16, 2017. Representatives from HP, Xerox, Lexmark, Apple, Canon, Oki, High North, TIC and TCS attended the meetings. Attendees discussed status of current projects and liaisons with other groups, and reviewed latest drafts of several specifications and white papers under development.
The meeting information and document links are on the November 2017 PWG F2F meeting page.
In the PWG Plenary, we reviewed the state of the PWG, including the
results of the PWG officer election, upcoming events, and projects
hosted on the PWG GitHub site.
We briefly covered the status of each working group, noting that the
Imaging
Device Security (IDS) working group will hold periodic meetings as part
of its new role to review and discuss issues implementing the new HCD
Protection Profile and other HCD standards. We noted that there were now
206 printers certified under the IPP Everywhere™ Self Certification
program, and that more were purported to be on the way. We noted a shift
in the CUPS Project's license and discussed whether it was appropriate
for the PWG to mirror that shift. We
discussed our liaison relationships with Trusted Computing Group (TCG),
Mobile Platform Workgroup (MPWG),
IETF, Mopria, ISO/IEC JTC1, ISO TC 130 and AMSC. We had an open
discussion about new work areas and unaddressed needs.
In the IDS WG session, we reviewed the NIAP direction implementing
the changes to NIST SP800-131A and NIST SP800-56B. We also discussed
password requirements in the HCD Protection Profile and in the NIST SP
800-171. Updates to the HCD PP are planned by the HCD TC, and the
planned changes were reviewed.
Complete minutes are available here: https://ftp.pwg.org/pub/pwg/ids/minutes/ids-f2f-minutes-20171116.pdf
In the IPP WG sessions, Ira McDonald presented the latest draft of the IPP System Service specification. Smith Kennedy presented the latest drafts of "IPP Get-User-Printer-Attributes Operation", "IPP Presets" and "IPP Authentication Methods" white papers. IPP Get-User-Printer-Attributes and IPP Presets entered IPP WG Last Call soon after the F2F event.
Future work was also discussed, including enhancements to the PWG's
"ippsample" project in its Github site and collaboration on projects
with the Linux OpenPrinting team.
Complete minutes are available here: http://ftp.pwg.org/pub/pwg/ipp/minutes/ippv2-f2f-minutes-20171115.pdf
The PWG will hold its next face-to-face meeting February 7-8, 2018 via WebEx, hosted by the PWG. Information on upcoming meetings is listed on the PWG Meetings page.


I like dogs! they are the best partner
I want to have as many dogs us I can, but I just moved to a new city
Maybe a siberian husky is my favorite type of dog
this photo is taken from Pixabay


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cjlog
/
com.controlj.logging
/
FileLogger
/
logFile
logFile
val
logFile
:
File
The file in which logs are to be saved


CryptoBot
$23,435
With supporting text below
$23,435
With supporting text below
$23,435
With supporting text below
Notifications
Bought 10 BC at $10K
Success
With supporting text below as a natural lead-in to additional content.
Bought 10 BC at $10K
Success
With supporting text below as a natural lead-in to additional content.


{% extends 'base.html' %} {% load static %} {% block head_title %}Competitions (My CodaLab){% endblock head_title %} {% block page_title %}Competitions (My CodaLab){% endblock page_title %} {% block content %}
There are no competitions.
{% else %} {% for competition in published_competitions %} {% include "web/my/_competition_tile.html" with competition=competition %} {% endfor %} {% endif %}


{% extends "portal/detail_base.html" %} {% load maps %} {% load search_results %} {% block detail_hint %} Try exploring further by clicking on a supporting band or on a venue to find out more. {% endblock %} {% block content %}
start time: {{gig.start|date:"l, M j, Y"}}
{% endcomment %}No Venue listed for this gig
{% endif %}


Made a taxonomy for devious advertisement content on Android App by doing a survey about the policies related to mobile ad content of popular app markets, media reports in news outlets, and some real-world apps that hosting devious ad contents
Involved in the implementation of DDM(Ad Deviousness Detection) Module in MadDroid framework and constructed the training set (about 1800 images) for the detection of ad click-deceptive images
Participated in finishing the paper of Characterizing and Detecting Devious Ad Content for Android Apps
Carried on project management through agile development mode(Scrum), compiled the project proposal, and designed the development scheme
Took charge of Front-end and Back-end programming, involved in UI design and database design
Investigated the technological information of popular self-driving system and the demand for intelligent identification of freight vehicles in the market
Managed the project’ s progress, wrote code that using TensorFlow API to do object recognition, tested different algorithms(Faster-RCNN, YOLO, SSD), compared their result and speed, selected SSD
Tested the obstacle avoidance ability of the car, and achieved the accuracy of human recognition up to 90%
Took charge of Vuforia SDK Installation, AR Image Recognition Realization, 3D Models and Animations make and design, Texture redesign, Music Play Realization, Video play Realization, Rotate, Scale Change and Move Improvement.
Installed Android Environment and create an APK of the Unity application, tested the APK and corrected the bugs in script.
For further information about this project, please click here
Haoyu Wang, Li Li, Feng Dong, Tegawendé F. Bissyandé, Tianming Liu, Yao Guo, Jacques Klein, Shuyang Du, Yajin Zhou and Guoai Xu, “Characterizing and Detecting Devious Ad Content for Android Apps”, ICSE 2019, Montreal, QC, Canada, Submitted, August 2018.
Hangjun Zhou, Guang Sun, Shuyang Du, Feng Liu, Bo Yang, Yaqian Zhuo,“A Control Approach Using Network Latency Interval to Preserve Real-Time Causality”, ICCCS 2018, Haikou, China, on Springer in November 2018. Link
Yang Liu, Zhen Huang, Minghao Hu, Shuyang Du, Yuxing Peng, Dongsheng Li and Xu Wang, “MFM: A Multi-level Fused Sequence Matching Model for Filtering in Multi-paragraphs Question-Answering”, Advances in Multimedia Information Processing - PCM2018, Hefei, China, on Springer in September 2018. Link


Exploitation Double Feature
What makes a good exploitation movie? BFI's Tim Lucas believes it's "a movie that makes you want to run, not walk, to the nearest shower, but leaves you unable to decide whether the shower should be hot or cold." Coming up at Drama House is a free screening of two movies that will do just that in an exploitation double feature, complete with vintage trailers and theater ads from the 70s.
We are still working on securing the rights to the first feature, so that will be announced soon, but the second feature of the evening will definitely be "The Abductors" starring Cheri Caffaro as Ginger McAllister, a 23-year-old ex-cheerleader who goes undercover to stop a ring of sex-related crimes.
The films and trailers will be projected on the big screen in the main room at Drama House and popcorn will be served.
For more information on "The Abductors" and other exploitation classics of grindhouse cinema, visit
Exploitation Double Feature
April 25, 2008 10:30 PM
Grindhouse @ Drama House presents an
Exploitation Double Feature:
First Feature TBA & “The Abductors”
FREE
Friday, April 25, 2008 @ 10:30 pm
Drama House Main Room
On the Big Screen!


--- layout: post title: "Give your site some CloudFlare" header-img: "img/cloud-flare/cloudflare-logo_1.png" permalink: /article/give-your-site-some-cloudflare/ permalink-disqus: /article/give-your-site-some-cloudflare author: "Craig Pearson" categories: - tutorial tags: - cdn - hosting - security - web ---
A few weeks ago I was reading an online forum, about some of the better CDN providers out there and a user mentioned CloudFlare. Not having heard of CloudFlare before I thought I'd investigate further.
A few seconds later I find myself on the company website presented with this video.
Hmmm, it all seems too simple.
Essentially, CloudFlare is a dynamic CDN that works by taking over the DNS of your domain name. CloudFlare will direct traffic to your site via the most efficient route, cache and serve static content like images, js and css from their global CDN (not page markup unless you tell it to) and also protect your site from known spammers, hackers and web baddies.
CloudFlare also has a host of other features like, web optimisation tools to make your site run even faster. Web analytics, Threat dashboard and a reasonably large application repository where you can choose from a range of third party apps to help enhance your site. Like adding Google Analytics, site pop-up notifications and friendly reminders to those on the web still running old browsers that they need to upgrade. I am (still) looking at you IE. The crazy thing is they provide all this for free.
There are paid accounts too that start at $20USD per month but most of the features you need as a small site owner you can easily get away with the free account.
I did a bit of web snoopery and read a few articles and reviews and all seem positive. So I decided to give it a try.
CloudFlare claim that you can be up and running in 5 minutes. They aren't lying. In fact I found it to be so painless, quick and easy I wasn't entirely sure I had done it right.
First up you put in your domain name and CloudFlare's servers proceed to scan your DNS records so that they can migrate over your DNS setup. This process took around 60 seconds and they then present you a list of your current DNS profile. They add a few extra helpful aliases as well.
At this point you can add other DNS records or even upload a zone dump for easy migration of large zones.
There is a cloud toggle button on the right that enables you to easily specify whether or not you want that particular record to bypasss the CloudFlare servers and go direct.
After reviewing all the changes you are asked to set up your plan performance and security settings. SSL is unavailable on the free plan, but $20 a month isn't a wallet drain.
The performance and security settings give you some initial out of the box configurations, all of which are pretty straight forward but all can be customised at a later date.
In the last step CloudFlare assign you some name servers to update your domain with which has to be done via your registrar. Once that is done you are ready to go. Aside from the time delay it takes for the DNS to propegate across the globe that's the end of the set up.
I have now had a couple of sites running on the system for a week or so and so far so good. Speed wise it seems comparable to before, though my sites were optimised pretty well prior. I have already had some benefit from CloudFlares threat protection that has blocked quite a number of malicious users from accessing my site. Also CloudFlare's always available feature has kept my site online when my web server went down a few days ago. Nice.
Even if you don't have any scalability requirements or current performance constraints, I'd suggest giving CloudFlare a go, for a month or two at least. See what you think. It's free. Feel free to leave a comment and let me know how your experiences have been.


Indicates a CodeIgniter view name can be shortened by removing the 'php' extension
According to the CodeIgniter documentation, the ".php" file extension does not need to be specified unless something other than ".php" is used. This inspection spots such names and offers to remove the extension.


This arrangement lays out the graph in a per-component tree with specified roots. Each level of the arrangement contains nodes at the same distance from the roots, so nodes at level n are n hops from the roots. The arrangement ignores transaction directions.
To begin, there must be a named selection specifying which nodes are the roots of each component's tree. Only one component is required to have a root: if any other components do not have roots in the named selection, an arbitrary node will be chosen. If you are unfamiliar with named selections, select the nodes that will be the roots of the tree, and press Ctrl-Shift-1. This will create a new named selection called "Selection n", which will be visible in the "Named Selections" window.
Make sure you deselect the nodes you just selected: if any nodes are selected, then only those nodes will be arranged.
Run the arrangement. You will be asked for a named selection to specify the roots. Choose the correct named selection then OK. The graph will be arranged with the nodes in the named selection at the top.
Pendants are a problem. There are often many pendants in a graph, and including them in the tree makes the arrangement unwieldy. Therefore pendants are generally not included in the tree. (Strictly, if a node has only a few pendants, then those pendants are included.) Pendants are then arranged separately from the tree.


High-capacity magazine laws
Jan 23, 2011 . Six states and the District have laws that restrict the manufacture, sale or possession of high-capacity magazines.
http://www.washingtonpost.com/wp-dyn/content/graphic/2011/01/23/GR2011012300252.html
Treatment for Herniated or Bulging Discs
The security laws, regulations and guidelines directory - CSO Online ...
Nov 2, 2010 . Need to find and understand security and privacy laws, regulations and guidelines? Here's a handy compendium with summaries plus links to .
http://www.csoonline.com/article/632218/the-security-laws-regulations-and-guidelines-directory
Mass. Laws and Regulations
MA Laws and Regulations / Federal Law. BEFORE . (commonly referred to as " pre-ban") or high capacity magazines made after 9/1994. This recent law refers .
http://www.fsguns.com/malawsandregs.html
magazine laws and regulations Herniated or Bulging Discs
REGULATION AND SELF-REGULATION ON ADVERTISING ...
Sweden: restrictions for advertising in newspapers & magazines (not to be seen by minors . Finland: There are no laws or regulations relating to marketing and .
http://ec.europa.eu/avpolicy/docs/library/studies/finalised/studpdf/oview.pdf
What are the copyright laws related to magazine publishing
However, there are some specific issues that relate specifically to magazines. . Recent case law also requires that publishers specifically buy the rights to put .
http://wiki.answers.com/Q/What_are_the_copyright_laws_related_to_magazine_publishing
Federal Explosives Law and Regulations - Bureau of Alcohol ...
Bureau of Alcohol, Tobacco, Firearms and Explosives. Enforcement Programs and Services. 2012. Federal Explosives Law and Regulations .
http://www.atf.gov/publications/download/p/atf-p-5400-7.pdf
Official Impairment Listing for Spinal Disorders
BBC NEWS | UK | Magazine | Five consumer laws you really ought ...
Sep 14, 2009 . Where it applies: The regulations are European law, so apply . that are excluded : newspapers, magazines, personalised goods, flowers, food, .
http://www.bbc.co.uk/1/hi/magazine/8253915.stm
- 88 suzuki quadrunner fuel problem (narrowing of the spine)
Complex Societies Need Simple Laws - Reason.com
Mar 15, 2012 . The more that laws and regulations are given prominence, the more thieves and robbers there will be. He complained that there were laws .
http://reason.com/archives/2012/03/15/complex-societies-need-simple-lawsLaws and Regulations Frequently Asked Questions
Learn more about boating regulations by visiting the Arizona Game and Fish . and Fish Department allows a person to use a large capacity magazine with a .
http://www.azgfd.gov/faq/LawsRegulations.shtml
Magazine Laws
THE CONCLUSION A magazine article should end as dramatically as it began. When appropriate, use an anecdote that typifies the main points presented in the .
http://photographytraining.tpub.com/14130/css/14130_71.htm
Effectiveness of Large Capacity Ammunition Magazine Regulation
Effectiveness of Large Capacity Ammunition Magazine Regulation. Posted on March 12, 2012. The federal ban on large capacity ammunition magazines .
http://smartgunlaws.org/effectiveness-large-capacity-ammunition-magazine-regulation/
Medical-Vocational Allowance for Herniated Disc
Laws on Cardiac Arrest and Defibrillators (AEDs)
Most commonly, the recent state laws encourage broader availability, rather than . all fifty states, listed below, had enacted defibrillator laws or adopted regulations. . Related NCSL Article: High Cost of Safe Sports - SL Magazine- July 2009 .
http://www.ncsl.org/issues-research/health/laws-on-cardiac-arrest-and-defibrillators-aeds.aspx
Laws and Regulations - Home Education Magazine
Laws and Regulations. PLEASE READ BEFORE GOING FURTHER. The HEM staff has been considering pulling these listings. The main reason is that as .
http://www.home-ed-magazine.com/HSRSC/hsrsc_lws.rgs.html
Appealing a Denial of Benefits
Massage Laws and Legislation - Massage Magazine
Massage Laws and Legislation by state, including number of credentialed practitioners in each state.
http://www.massagemag.com/Resources/massage-laws-legislation.php
ATF Online - Laws, Regulations & Rulings - Rulings
Rulings interpret the requirements of laws and regulations and apply retroactively . 2011-2 Locking Requirements for Outdoor Type 5 Bin and Silo Magazines .
http://www.atf.gov/regulations-rulings/rulings/


Privacy Policy
Astlanox operates the https://astlanox.com website, which provides the SERVICE.
This page is used to inform website visitors regarding our policies with the collection, use, and disclosure of Personal Information if anyone decided to use our Service, the Astlanox website. If you choose to use our Service, then you agree to the collection and use of information in relation with this policy. The Personal Information that we collect are used for providing and improving the Service. We will not use or share your information with anyone except as described in this Privacy Policy. The terms used in this Privacy Policy have the same meanings as in our Terms and Conditions, which is accessible at https://astlanox.com, unless otherwise defined in this Privacy Policy. Our Privacy Policy was created with the help of the Privacy Policy Template and the Privacy Policy Generator from TermsFeed plus the Refund Policy Template.Information Collection and Use
For a better experience while using our Service, we may require you to provide us with certain personally identifiable information, including but not limited to your name, phone number, and postal address. The information that we collect will be used to contact or identify you.Log Data
We want to inform you that whenever you visit our Service, we collect information that your browser sends to us that is called Log Data. This Log Data may include information such as your computer’s Internet Protocol ("IP") address, browser version, pages of our Service that you visit, the time and date of your visit, the time spent on those pages, and other statistics.Cookies
Cookies are files with small amount of data that is commonly used an anonymous unique identifier. These are sent to your browser from the website that you visit and are stored on your computer’s hard drive. Our website uses these "cookies" to collection information and to improve our Service. You have the option to either accept or refuse these cookies, and know when a cookie is being sent to your computer. If you choose to refuse our cookies, you may not be able to use some portions of our Service.Service Providers
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Our Services do not address anyone under the age of 13. We do not knowingly collect personal identifiable information from children under 13. In the case we discover that a child under 13 has provided us with personal information, we immediately delete this from our servers. If you are a parent or guardian and you are aware that your child has provided us with personal information, please contact us so that we will be able to do necessary actions.


|
Cortenn
|
#include <data.hpp>
Public Member Functions | |
| GenericRef (char *data, ade::Shape shape, age::_GENERATED_DTYPE dtype) | |
| GenericRef (GenericData &generic) | |
Public Attributes | |
| char * | data_ |
| Raw pointer to a block of untyped data. More... | |
| ade::Shape | shape_ |
| Shape of data_. More... | |
| age::_GENERATED_DTYPE | dtype_ |
| Data type of data_. More... | |
GenericRef for holding data Ref uses raw pointer instead of shared, so it's memory unsafe
|
inline |
|
inline |
| char* llo::GenericRef::data_ |
Raw pointer to a block of untyped data.
| age::_GENERATED_DTYPE llo::GenericRef::dtype_ |
Data type of data_.
| ade::Shape llo::GenericRef::shape_ |
Shape of data_.


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"BEZER "ore of gold or silver. (1.) A city of the Reubenites; one of the three cities of refuge on the east of Jordan (Deuteronomy 4: 43; Joshua 20:8). It has been identified with the modern ruined village of Burazin, some 12 miles north of Heshbon; also with Kasur-el-Besheir, 2 miles south-west of Dibon. (2.) A descendant of Asher (1 Chronicles 7:37).
"BEZER "ore of gold or silver. (1.) A city of the Reubenites; one of the three cities of refuge on the east of Jordan (Deuteronomy 4: 43; Joshua 20:8). It has been identified with the modern ruined village of Burazin, some 12 miles north of Heshbon; also with Kasur-el-Besheir, 2 miles south-west of Dibon.
(2.) A descendant of Asher (1 Chronicles 7:37).


@* * Copyright 2019 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import config.ApplicationConfig @import domain._ @import include._ @import model.Crumb @(app: Application, form: Form[NameForm])(implicit request: play.api.mvc.Request[Any], loggedIn: DeveloperSession, messages: Messages, applicationConfig: ApplicationConfig, navSection: String = "credentials") @titleError = { @if(form.errors.nonEmpty) {Error: } else {}} @devMain( title = titleError + "Confirm your application's name", userFullName = loggedIn.loggedInName, breadcrumbs = Seq( Crumb("Manage credentials"), Crumb.application(app), Crumb.viewAllApplications, Crumb.home ), leftNav = Some(leftHandNav(Option(app), Option(navSection))), developerSession = Some(loggedIn) ) { @errorSummary(form) @helper.form(action = controllers.routes.ApplicationCheck.nameAction(app.id), 'class -> "form") { @helper.CSRF.formField


Turbo-charge your Web application
12 Aug 2016
Gabriel Cziprusz
@WalmartLabs
@gcziprusz
Website performance is important !
You may be thinking:
this is old news
We have been hearing that for years
Forrester research shows that 47% of users expect pages to load in two seconds or less.
frustrated users will likely seek alternatives
⌘ + T
SEO ranking is affected by page load speed
Speed = competitive advantage
So....
why is this content relevant ?
#1
We all know that it's important, yet experience frustrating performance on the web every day
#2
Our performance best practices need to be periodically re-examined
the invisible problem
Visit our site's from the office fastest Internet
have to look for it
it's everyone problem
Historically onload (AKA browser loader stops spinning)
Onload is easy to measure but not the whole story
Depends on the goals of the application
Twitter's Time to first tweet
GMAIL
measure performance
& establish a baseline
make and keep the site fast!
Synthetic Measurement
&
Real User Monitoring (RUM)
webpagetest.org
build integration
page speed index
performance budget
ratcheting
Synthetic Measurement cons
real world performance depends on many other factors
geographic diversity, browsers, cache state
Real User Monitoring (RUM)
browsers navigation API
dashboard to show trends
The real win if you can tie it with business metrics
valuable only if people care about them
Build a performance culture
Publish communication about performance wins
Use site load video comparisons
#2
Our performance best practices need to be periodically re-examined
SPDY > HTTP/2
ref. Ilya Grigorik, Yesterday's perf best-practices are today's HTTP/2 anti-patterns - Velocity 2015
Latency matters more than bandwidth
Can't make bit travel faster
Evergreen Optimizations
- Eliminate round-trips
- Make the distance shorter
- Reduce the number of bits shipped over the wire...
What optimization to start with?
It depends
in general 80% FE / 20% BE
images > 50% FE of weight
IMAGE optimizations
Vector vs Raster
Lossless vs Lossy
Indexed vs Direct
PNG-8 (ll&i), PNG-24 (ll&d), webp (ll&l&d), gif (ll&i), jpeg (l&d)
responsive images
deliver the best quality usable by the device, but nothing more
web-fonts
CDNs
pops all over the (world)
CDNs
CAN YOU HTTP2 without SSL ... theoretically yes practically NO
HTTPS HTTP2 even better can terminate SSL session
caching
the fastest request is the one you do not have to make
HTTP standard
forever cache + version-ed assets
Domain Sharding
3 concepts + HTTP1.1 vs HTTP2
- DNS lookups
- HTTP 1.1 Keep-Alive
- active connections/domain
Bundling
150 JS source files
costly cache invalidations
Bundling
gmail bundle invalidation causes DoS
pre-warming cache
do only a few bundles
Minification
human readable format V8 does not care
long var names function names
Inlining
breaks caching
base 64 encoded image ++ 30%
HTTP/2 > server push
compression
GZIP , deflate
what to GZIP
anti-virus virus corner-case
Flushing the Document Early
Flushing the Document Early
Transfer-Encoding: chunked
Put CSS at the top ... to support progressive rendering
- avoid: expressions, universal rules * {…} , @import
- uncss + minify + cssstats.com
QUIC
chrome://flags/#enable-quic
Service Workers
- use fastest CDN race
- prioritize resources
- delta compression
- drawing images locally
Measure your performance!
WHO TO FOLLOW
Ilya Grigorik
Tim Kadlec
Steve Saunders
Matt Wilcox


Diabetes SNPs
Type 2 Diabetes is one of the canonical examples of a common disease with a heritable genetic component.
Recent publications have implicated a number of genetic loci with diabetes,
but the effect sizes (odds ratio) are modest and the sum of these has not been able to explain the heritable component.
In this exercise, we will explore our variants at the sites discovered by a few studies.
As with any exercise, these variants are not diagnostic
and the number of alleles can not be used as an official indicator of diabetes.
For more information, explore the "Clinical" -> "Diabetes" tab above.


You can now book a stay at a dog-friendly mini-hotel in Scotland where every room has a beer fridge in the shower, Business Insider - Business Insider Singapore
by Emma Taylor- Craft beer brand BrewDog is launching a mini-hotel concept for city center destinations called BrewDog Kennels, with bookings now open.
- The dog-friendly accomodation will have shower beer mini-fridges, similar to their DogHouse Hotel in Columbus, Ohio.
- Each guest will receive a welcome beer at check-in, while the hotel can also provide dog beds and good-boy treats.
- Visit Insider’s homepage for more stories.
Scottish craft brewery BrewDog is now accepting reservations for its latest hotel concept that includes dog beds for your pup and shower beers in every room.
At the Aberdeen Kennels, each guest will receive a welcome beer at check-in and all rooms come with a beer fridge to dip into when showering.
If you’re travelling with a furry four-legged friend, the hotel can also provide dog beds and good-boy treats upon request.
French-press coffee, a record player, vinyl, and a guitar also feature in every room type.
Inspired by its DogHouse Hotel concept in Columbus, Ohio, the new BrewDog Kennels aim to bring the same spirit to a series of mini city-center hotels in some of the world’s busiest destinations.
The first BrewDog Kennels will launch in the brand’s home city of Aberdeen, Scotland, where bookings are now open, as well as in Columbus, Ohio.
The company also plans to open sites in London, Manchester, Paris, and Berlin.
The BrewDog Kennels Aberdeen will also host beer-themed experiences and excursions, such as an accompanied visit to its brewery in nearby Ellon or taking part in “Beer School” at its Castlegate bar below the hotel.
BrewDog cofounder James Watt commented: “Our BrewDog Kennels are a revolution in accommodation, sparked by too much time spent in immediately forgettable hotel rooms.”
“We firmly believe that where you stay in a new city should be your home from home, so have brought the spirit of our DogHouse Hotel and its reverence for great beer to a new series of mini-hotels.”
Prices for rooms start from £75.
Read more:


Getting Started
Click on the 'Select Gigabot' drop-down menu in the navigation bar above the dashboard. This will display a list of the robots currently connected to the Big Bang channel for The Gigabots. Select a robot by clicking on a name. You will see the settings and data in your dashboard instantly update to those for this robot.
In the bottom right-hand corner of the dashboard, you will a 'Channel Activity' box. This shows everyone that's connected to the channel, with GitHub-style icons, and which bots users have selected. Because multiple user can control the same bot at the same time, it will also display live update regarding what users controlling the same bot as you are doing. From the 'Send a Message' box below that, you can send a short message to all users.
- The controls are simple:
- You'll see the dashboard divided up into different motors. For each motor, you can flip which direction is actually forward or reverse using the checkbox 'Swap Directions.' You can adjust the speed between 0 and 700 degress of rotation per second, using the slider bar or using the '+' and '-' buttons for 50 degree/second increments. Holding down the 'Forward' or 'Reverse' buttons will cause the motor to rotate in one direction or the other.
- For more flexibility, the any of the motors can be combined into a motor gang, so that they can be controlled together. For example, this can facilitate driving in a straight line by combining two motors for wheels on both sides of a bot (with their directions orientated similarly) or turning on a spot by combining two motors for wheels (with their direcitons orientated opposite from one another).
- For ease of use when not on a touchscreen device, there are also some keyboard shortcuts for controlling motors and gangs, as follows.
- asdf
On the left-hand side of the dashboard, you will see a box displaying the name of your selected bot, its current battery level, and a button for pausing/resuming the dashhboard. Below that is data from various sensors available, which updates in realtime.
At the bottom of the dashboard, there is a read-eval-print-loop (REPL) / console-based text editor. You can use this to make calls with the Gigabots API (described further below). This is ideal for programming bot behaviors, as entire blocks of code can be written or placed in the editor and run.
Sample API Methods
bot.g1.rotateTo(200); gangRotate(1,200); function gangRotate (gangId, position) { bot.beep(); var motorPosition; var gangedMotors = {} for( var m in motors ) { if( gangs[ gangId ][m] === true ) { gangedMotors[m] = {} var motorData = channel.getKeyspace(botId).get(m); gangedMotors[m].oldMotorPosition = motorData.position; gangedMotors[m].newMotorPosition = motorData.position + position; } } console.dir(gangedMotors); for( var i=1; i<=position; i++ ) { for( var n in gangedMotors ) { var command = bot[n]rotateTo(gangedMotors[m].newMotorPosition-position+i); channel.publish({ "type": "js", "js": command, "recipient": botId }); } } } channel.publish({ "type":"js", "js": "function beeperTest() { bot.beep(); bot.a.rotateTo(100); bot.beep(); }", "recipient": botId }); function beeperTest() { bot.beep(); bot.beep(); } beeperTest(); //or beepTest() function moveMotors(motor1, motor2, position) { bot.beep(); bot[motor1].rotateTo(position); bot[motor2].rotateTo(position); } function moveUntil(motor) { bot.beep(); bot[motor].rtz(); var position = 0; for (var i = 0; i<=1000; i++ ) { var touchData = channel.getKeyspace(botId).get('S3'); if( touchData.values[0] === 0 ) { position++; bot[motor].rotateTo(position); } } } function moveUntil(motor) { //var motorData = channel.getKeyspace(botId).get('b'); bot[b].rtz(); var position = 0; //var position = motorData.position; //var data = channel.getKeyspace(botId).get('S3'); for (var i = 0; i<=1000; i++ ) { //var touchData = channel.getKeyspace(botId).get('S3'); //if( touchData.values[0] === 0 ) { position++; bot[motor].rotateTo(position); //} } bot.beep(); } function motorToZero(motor) { bot[motor].rtz(); bot.beep(); } function beepIfTouched() { bot.beep(); var touchData = channel.getKeyspace(botId).get('S3'); if( touchData.values[0] === 1 ) { bot.sing(); } else { bot.beep(); } } function driveWith(motor1,motor2,position) { bot[motor1].rtz(); bot[motor2].rtz(); bot.beep(); for( var i=1; i<=position; i+=10 ) { bot[motor1].rotateTo(i); bot[motor2].rotateTo(i); } } function spinWith(motor1,motor2,position) { for( var i=1; i<=position; i+=10 ) { bot[motor1].rotateTo(i); bot[motor2].rotateTo(-i); } } function publish(botCode) { channel.publish({ "type": "js", "js": botCode, "recipient": botId }); } for(var i=0; i<=700; i+=20) { var touchData = channel.getKeyspace(botId).get('S3'); if ( touchData.values[0] === 0 ) { var botCode = "bot.d.rotateTo(" + i.toString() + ")" channel.publish({ "type": "js", "js": botCode, "recipient": botId }); } else { channel.publish({ "type": "js", "js": "bot.beep()", "recipient": botId }); } } for(var i=0; i<=700; i+=20) { if ( touchStatus === false ) { var botCode = "bot.d.rotateTo(" + i.toString() + ")" channel.publish({ "type": "js", "js": botCode, "recipient": botId }); } else { channel.publish({ "type": "js", "js": "bot.beep()", "recipient": botId }); } } if (bot.sensors.pressedAction.result === true ) { bot.beep(); bot.beep(); } if (bot.pressedAction.result(Boolean.valueOf(sample[0] == 1.0F))) { bot.beep(); }


A fatal exception 0E has occurred at 0028:C0011E36 in VXD VMM(01) +
00010E36. The current application will be terminated.
* Press any key to terminate the current application.
* Press CTRL+ALT+DEL again to restart your computer. You will
lose any unsaved information in all applications.


HEDWIG AND THE ANGRY INCH Rated R, 95 minutes Directed by John Cameron Mitchell WHEN, WHERE: Opens today at the Jean Cocteau
You'd be angry too. Hedwig used to be Hansel, an East German boy of confused sexuality who fell in love with an American sergeant (Maurice Dean Wint).  The operation went awry, and the residue was the eponymous unit of measure.
Writer/director/star John Cameron Mitchell created this rock fantasy of gender identity Off-Broadway, where it became a cult hit, and he has transferred it with notable success to the big screen (it has garnered a mantel-full of awards, from Berlin to Sundance.) The movie fairly bristles with originality and energy; it stands out from the wasteland of failed summer blockbusters like a whirling dervish in a Benedictine monastery. Originality and energy in themselves aren't enough to insure a worthwhile movie, but here they're buttressed by a pretty solid serving of talent as well.
Hedwig and her backup group the Angry Inch, and their manager (the wonderful Andrea Martin) are touring a series of salad bar restaurants called Bilgewater's, playing to scattered audiences of bored and bemused burghers, always in the same cities where rock megastar Tommy Gnossis (Michael Pitt) is playing to arenas packed with adoring fans. In a series of songs and flashbacks we piece together Hedwig's checkered history: molested by his G.I. father, neglected by his East German mother (`Our apartment was so small mother made me play in the oven'), inspired by the music of American masters (Toni Tenille, Debbie Boone) on Armed Forces Radio, wooed, semi-transgendered, wed, and then abandoned in a Kansas trailer park by her soldier boy, forced to shift for herself as a nanny for yet another military man, whose born-again teenage son Tommy becomes her musical protégé and almost lover. Together they write songs and create his Tommy Gnossis persona, but when he discovers her angry inch and departs in revulsion, he takes her songs and all the credit and becomes a star. One question that nags is why, with the same material, Tommy is a superstar and Hedwig is playing the salad circuit. It would be hard to make the case that gender confusion has been a drag on success in the rock era.
`Hedwig' is all about duality and wholeness. With the help of some kaleidoscopically imaginative animation by Emily Hubley (daughter of veteran animators Faith and John Hubley), it draws on sources as diverse as Plato and the Berlin wall to explore the case that all of us are divided, all of us contain masculine and feminine, all of us are searching for that complementary self who will make us whole. As philosophy that's all very well and good, and probably as original as you want it to be. What makes this movie rock is the terrific performance of Mitchell in drag, bearing a startling resemblance to Rachel Griffiths, and singing the daylights out of a slew of very listenable songs in the glam rock tradition of David Bowie and Lou Reed, penned by fellow cast member Stephen Trask. Completing the drag race is Miriam Shor as Yitzak, Hedwig's lead guitarist and lover, in vintage Axl Rose whiskers and doing a creditable job of sensitive maleness to help stir the broth. When at the end Shor morphs back into a woman and Mitchell into a man, sort of, it bridges the genderation gap and closes the circle.
When a movie starts off with the pinwheeling fireworks this one musters, you pray for it not to lose that magical edge; regrettably, those prayers are not answered. `Hedwig' bogs down in love story sentimentality and passages that, for all of their brash naughtiness, are no better than soapsuds beneath the glitter. But momentum counts for a lot, and almost carries it over the soggy parts.
========== X-RAMR-ID: 29363 X-Language: en X-RT-ReviewID: 246865 X-RT-TitleID: 1109197 X-RT-AuthorID: 2779
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


|
If you want to get started quickly and have a Tomcat installation up and running, Pebble can be deployed in a couple of minutes by following some simple steps.
- Download Pebble from here.
- Copy
pebble.war from pebble-weblog into $TOMCAT_HOME/webapps .
- Add the followng line into the
$TOMCAT_HOME/conf/tomcat-users.xml file, before the final closing tag.
<user username="someuser" password="password" roles="blog-owner,blog-contributor"/>
- Restart Tomcat and (assuming a default local installation) point your browser to http://localhost:8080/pebble/.
- Pebble should now be running and you can login via the Login link at the bottom of the page.
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I am Yichen Zhou, a second year Statistics Ph.D. student at Cornell University. The life of a "second year" in a math related subject is still about finishing the required coursework, which is fun and most of the time "homeworky".
My fresh research focus is on assessing the performance of classic statistical and machine learning methods. Recently I am digging at the intersection of random forests and decision trees. I am also interested in high dimensional and Bayesian models and methods.
I earned my B.S. in Pure and Applied Mathematics from Tsinghua University in Beijing. The coursework covered a wide range of the very fundamentions of advanced mathematics. My personal favorite was analysis.
I am also (sort of) an active coder in both statistical related tasks. Stereotypical works consist of the cooperation with biologists to study protein struture, as well as a recent project with a preeminant artist in creating comtemporary paintings.
A running version of my CV (whose content highly overlaps this website) can be downloaded here.
On this website you can find the detailed information about my background and my research. Also feel free to drop me a line!
yz793 [at] cornell.edu
yichen_zhou [at] hotmail.com
301 Malott Hall
Cornell University
Ithaca, NY 14853, US
LinkedIn: Yichen Zhou
Facebook: Yichen Zhou
GitHub: siriuz42
Skype: yzhou793
WeChat: zeratulaz
Battle.net Americas: Siriuz#1927
Battle.net China: Zeratulaz#5181


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Resize adds some handles inside the html element you are making resizeable. Which is fine most of the time, unless the element doesn't allow child nodes: images, textareas, inputs, iframes, and selects. In YUI2.x, these elements would be wrapped by a div, which would then hold the handles and the element itself. All good.
However, in writing the resize as a plugin for YUI3, this gives us a problem.
I started replicating the behaviour, becuase I wanted to honour the config
and use of 2.x. But I realised this would be a bad thing. The problem
is that the core resize behaviour then sits with the wrapper element, not
the element originally specified. So if I have an image with id "myElement",
code like this:
var myNode = Y.get( '#myElement' );
myNode.plug( Y.Plugin.Resize );
would end up a bit misleading: it says (to me) Add some fancy resize behaviour
to the node with id "myElement". But what it does is different:
Add some fancy resize behaviour to a magically newly created Node that
wraps up your image with id "myElement".
I didn't like the sound of that. Particularly when you want to get your resize
later in the code:
myNode.resize.set("knobHandles", true);
Now in fact the resize would be attached to the parent of myNode, and myNode
would have had a reference to pass this kind of call up to the resize. It
felt wrong.
So the moral of the story: there ain't no wrappin, baby. You're just going to have to do that yourself, either in the html or with js, and attach the resize plugin to the wrapper. The example below gives some details.
There is one advantage to this: you could wrap several elements with one resize plugin, and they'll all be resized proportionally to the wrapper. Or put some text around the image and have it move with the image resize.
So as a simple example, we'll wrap our image in a div in the html, and add the
resize to this wrapper:

Javascript:
YUI().use( "*" , function( Y ) {
// the wrappedEls config is a selector string for elements to resize when the
// wrapper is resized. It will only find children of the wrapper element.
// hugWrappedEl makes the wrapper Node 'hug' the wrapped element. It only
// works if there's one wrapped element.
Y.get("#wrapper").plug( Y.Plugin.Resize , {wrappedEls: "img", hugWrappedEl: true });
} );


introduction
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pydivide Tutorial
Downloading Key Parameter Data
Storing Data
Standard Plots
Time-series plotting routine
Altitude Plots
Plotting of In-situ data on a Lat/Lon Map
Downloading Data
- This command will download the MAVEN KP data into a directory structure on your machine that the Toolkit will remember (in the mvn_toolkit_prefs.txt file):
- pydivide.download_files(start_date='2015-01-15', end_date='2015-02-15')
- A similar command can be used to download all other science data:
- pydivide.download_sci_files(start_date='2015-01-15', end_date='2015-02-15', instrument='ngi', level='l2')
- instrument can be any of "lpw, ngi, euv, sta, swi, swe, mag, iuv, sep" and level can be any of "l1a, l1b, l1c, l2, or l3"
Storing Data
- This procedure will read in KP files and store them in a variable.
- insitu = pydivide.read(['2015-04-10', '2015-05-10'])
- The result of this command is all KP data between April 10th and May 10th is stored in the "insitu" variable.
Standard Plots
- For a quick look at the dataset, you can use the following command to look at common plots:
- pydivide.standards(insitu, all_plots=True)
- If you would like a subset of the 25 plots, add "list_plots=True" to the command, and it will list all of the plots that you can set to true for a subset of the plot. For example, pydivide.mvn_kp_standards(x, ngims_neutral=True, euv=True, ionosphere=True, sep_ion=True, sun_bar=True)
MAVEN time-series plotting routine
- Plot any parameter contained within the KP data may be plotted as a time series.
- pydivide.plot(insitu, parameter='SWEA.Solar Wind Electron Density')
Altitude Plots
- Plot any Key Parameter against altitude. Syntax is the same as mvn_kp_plot.
- pydivide.alt_plot(insitu, parameter='SWEA.Solar Wind Electron Density')
Plotting of In-situ data on a Lat/Lon Map
- Plot the H+ density from SWIA atop a map of Mars displaying the MOLA altimetry.
- pydivide.map2d(insitu, parameter='SWEA.Solar Wind Electron Density')


Dry,
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