Neymar Returns As PSG Move 11 Points Clear Atop
by SL InternationalLigue 1
Result: Paris Saint-Germain 2-0 Lille
Date: 22 November 2019
Venue: Parc di Princes
Neymar returned to action for Paris Saint-Germain, who defeated Lille 2-0 to move 11 points clear at the top of Ligue 1 standings on Friday evening.
PSG boss Thomas Tuchel made wholesale changes to the side that edged Brest away before the international break, with Neymar and Mauro Icardi both overcoming injuries to start, while goalkeeper Keylor Navas, Presnel Kimpembe, Juan Bernat and Marquinhos all returned.
Lille gave the hosts scares with early chances that they could not put away and they were made to rue those misses in the 17th minute as Icardi sent the Parisians ahead with a simple tap-in after a cut-back from Idrissa Gueye.
PSG doubled their lead around the half-hour mark thanks to a delightful chip by Angel Di Maria over goalkeeper Mike Maignan, after he was sent clear on goal by Julian Draxler's defence splitting pass.
Tuchel's army were comfortable in the closing phase of the first stanza, allowing Lille to have a spell of possession but they could not create clear chances with PSG guarding their goals in numbers.
The hosts were threatening to kill of the match in the early exchanges of the second stanza by getting the third goal but were constantly denied by Maignan, before Tuchel brought on speedy forward Kylian Mbappe of Neymar after the hour mark.
Lille got out of their shell in the last quarter of an hour, with substitute Yusuf Yazici giving them attacking impetus with his energy and threatening strikes but Navas was uncompromising.
Late substitute Edinson Cavani had a glorious chance to bag a third goal for PSG in stoppage time after Di Maria sent him through on goal but his attempted chip sailed over the crossbar as the encounter finished 2-0 in the French capital.


Go to yourblogaddress/admin, so if your blog is http://example.com then you need to open http://example.com/admin
1.Go to the ghost folder then content -> themes and copy the Vendetta theme folder in the theme folder. 2.Restart the ghost server.
1.Go to the admin panel and click on code injection in left side.
2.Go to the blog header section and copy the below code
<script>
vendetta.url={
// facebook:"https://www.facebook.com/RedHive-Software-623049087845699/",
// twitter:"https://www.twitter.com/redhivesoftware",
// tumblr:"https://www.tumblr.com/blog/redhivesoftware",
// gplus:"http://plus.google.com/u/0/115145342026041498272",
// youtube:"your youtube url",
// linkedin:"your linkedin url",
// instagram:"https://www.instagram.com/vendettaredhivesoftware",
// flickr:"https://www.flickr.com/photos/redhivesoftware/",
end:true
}
vendetta.comment={
// disqus:'vendetta123',
// facebook:'enabled',
end:true
}
vendetta.feed={
// facebook:'disabled',
// twitter:{
// id:'696094298215940096'
// },
// instagram:{
// userId:'2899013383',
// accessToken:'2899013383.a525e19.a119b4854c944131bbe5f6632ef76a48'
// },
// flickr:{
// qstrings:{
// id:'139052977@N02'
// }
// },
end:true
}
vendetta.newsletter={
// popup:true,
// hide:true,
// time:10,
end:true
}
//vendetta.analytics='UA-74085954-1';
</script>
1.Go to http://disqus.com and signup/login for free.
2.After that click on the setting icon on top right corner of home page and from dropdown select Add Disqus to site
3.After this click on Install on your site
on the top right corner
4.Fill the form provided next and then click on button “Next”
1. Insert your blog name in the field site name
2. Choose a unique disqus url which will be used later to access moderation tools and site settings. This will also become your site’s “shortname”.
3. Select the appropriate category for your blog
Form showing after filling entries to register for a blog named “Vendetta”
5.After that close the browser tab.
6.Go to the admin panel and click on code injection in left side.
7.Go to the line no 14 on blog header section and replace the Vendetta123 with your disqus short name. // from the line.
1.Go to the admin panel and click on code injection in left side.
2.Go to the line no 3 to 10 on blog header section.
3.Change the url with your social media links to the corresponding category and make sure that those lines are not prefixed with 2 forward slashes(//).
4.In order to remove any profile just add two // to the beginning of the line.
THe TimeLine is enabled automatically when you set the social media profile for facebook but if you want to remove the TimeLine just remove the 2 forward slashes from line 19 and add again // in future if you want to enable them again
1.Sign in to Twitter.
2.Go to your settings and select Widgets.
3.Click Create new.
4.Choose the User Time(which is default selection) of embedded timeline you’d like and start to configure it:
1. For User Timeline, enter the username of the user whose Tweets you want to display. operators).
4.Make sure to select Safe mode if you want to exclude sensitive content, profanity, etc.
5.Set height to 400, theme as light and link color to match your website. You can also configure your embedded timeline to auto-expand Tweets containing media.
6.Click create widget and copy the code to notepad and look for data-widget-id and copy the number.
7.Now close the tab and go to the admin panel and click on code injection in left side.
8.Go to the line no 20,21 and 22 on blog header section and remove the // from each line.
9.Now copy that pasted number to line 22 in place of the existing number.
1.Go to the admin panel and click on code injection in left side.
2.Go to the line no 23,24,25 and 26 on blog header section and remove the // from each line.
1. Go to https://instagram.com/oauth/authorize/?client_id=a525e19ee1494f158f029a78de89369e&redirect_uri=http://instafeedjs.com&response_type=token
2. Now copy the access Token provided to line number 25 in place of that string
3. And copy the userId to line number 24 in place of that number.
1.Go to the admin panel and click on code injection in left side.
2.Go to the line no 27,28,29,30 and 31 on blog header section and remove the // from each line.
3.Get your Flickr ID either by idgettr.com or by clicking on your buddy icon and take out the number part
4.Now copy the ID to line 29 in place of that numerical value
1.Go to mailchimp.com and signup/login.
2.Then go to Lists and click on create new list
3.Then Fill in the details as appropriate
4.After that click on signup forms and then embedded forms
5.After select Naked Forms and uncheck and deselct everything else than “Show only required fields”.
6.Now Copy the code generated in the section “Copy/paste onto your site”.
7.Now open your theme folder Vendetta and go to partials folder and then open newsletter.hbs file in notepad and delete everything inside the file and paste the code from mailchimp.
8.Now close the tab go to the admin panel and click on code injection in left side.
9.Go to the line no 34 to 39 on blog header section and remove the // from each line except line 36.
10.In future if you want to remove the newsletter just remove // from line 36.
1.go to https://www.google.com/analytics/web/#home/ and click on sign up
2.Now fill in the form as appropriate and as shown here
3.Then accept the terms and condition and then you will see something like
4.Now copy the tracking ID as shown in the image.
5.Now close the tab and Go to the admin panel and click on code injection in left side.
6.Go to the line no 40 on blog header section and remove the // and replace the tracking code.
create a static page with url /privacy-policy in the admin panel.
1.Go to the ghost folder then content -> themes -> partials.
2.Open the file “advertisement.hbs” file in notepad.
3.Copy the advertisement code in the “advertisement.hbs” file.
The code injected file for Vendetta looks like
<script>
vendetta.url={
facebook:"https://www.facebook.com/RedHive-Software-623049087845699/",
twitter:"https://www.twitter.com/redhivesoftware",
tumblr:"https://www.tumblr.com/blog/redhivesoftware",
gplus:"http://plus.google.com/u/0/115145342026041498272",
// youtube:"your youtube url",
// linkedin:"your linkedin url",
instagram:"https://www.instagram.com/redhivesoftware",
flickr:"https://www.flickr.com/photos/redhivesoftware/",
end:true
}
vendetta.comment={
disqus:'vendetta123',
// facebook:'enabled',
end:true
}
vendetta.feed={
// facebook:'disabled',
twitter:{
id:'696094298215940096'
},
instagram:{
userId:'2899013383',
accessToken:'2899013383.a525e19.a119b4854c944131bbe5f6632ef76a48'
},
flickr:{
qstrings:{
id:'139052977@N02'
}
},
end:true
}
vendetta.newsletter={
popup:true,
// hide:true,
time:10,
end:true
}
vendetta.analytics='UA-74085954-1';
</script>
1.Go to the ghost folder then content -> themes -> asset.
2.If already present then delete the file named “favicon.ico” and paste your icon file with name favicon.ico.
On Footer Section copy all your links inside double quotes seperated by comma
For Example
"https://www.facebook.com/RedHive-Software-623049087845699/",
"https://www.twitter.com/redhivesoftware",
"https://www.tumblr.com/blog/redhivesoftware",
"http://plus.google.com/u/0/115145342026041498272"
bootstrap.js / bootstrap.min.js – Bootstrap 3 - http://www.getbootstrap.com Jquery http://jquery.com Underscore http://underscorejs.org Backbone http://backbonejs.org Pixabay for Demo Images http://pixabay.com Fitvids http://fitvidsjs.com InstafeedJS http://instafeedjs.com Jflickrfeed http://www.newmediacampaigns.com/blog/a-jquery-flickr-feed-plugin FontAwesome Icons https://fortawesome.github.io/Font-Awesome/ Pacifico Google Font https://www.google.com/fonts/specimen/Pacifico Roboto Google Font https://www.google.com/fonts/specimen/Roboto Open Sans Google Font https://www.google.com/fonts/specimen/Open+Sans Owl-Carousel http://owlgraphic.com/owlcarousel/ xml2json http://www.fyneworks.com
Version 1.0.0 Date 25 Apr,2016


WITNESS LIST Finance Committee (Subcommittee on Articles 2 and 8 Agencies) November 7, 1997-9:30A Board of Architectural Examiners On: Greer, John O. (TBAE), Austin Hendricks, Cathy (TBAE), Austin Board of Barber Examiners On: Mills, Charles Clay (TSBBE), Austin Williams, Charles E. (TSBBE), San Antonio Board of Chiropractic Examiners On: Smith, Oliver R. Jr. (TBCE), El Paso Wolff, Freddy (TBCE), Austin Board of Dental Examiners On: Beran, Douglas A. (SBDE), Austin McPherson, Carol (SBDE), Austin Board of Public Accountancy On: Conaway, K. Michael (TSBPA), Midland Davis, Jerry A. (TSBPA), Houston Mason, Jimmie L. (TSBPA), Lubbock Treacy, William (TSBPA), Austin Registering, but not testifying: On: Hermanson, Alan (TSBPA), Austin Cosmetology Commission On: Alspaugh, Delores L. (TCC), Austin Black, Penny (TCC), Austin Cottrell, Comer J. (TCC), Dallas Credit Union Department On: Base, Garold (Gary) (TCUD), Plano Feeney, Harold E. (TCUD), Austin Pool-Harris, Lynette (TCUD), Austin


MarkovChain
class braidgenerator.MarkovChain(**kwargs)
MarkovChain is an encapsulation of the Markov Chain. It takes a BraidWord and constructs a model that creates a specified number of braid representatives of a fixed knot type, called ``braidreps," along with the logs pertaining to that braidrep (i.e. which Markov step was made at some iteration).
-
braidword
BraidWord
- A BraidWord to have braidreps generated from it. Note that a simple Python list of integers can be given as a parameter as well, which will be converted to a BraidWord behind the scenes.
-
maxgen
int
- The maximum absolute value a generator can be in the BraidWord and its subsequent braidreps.
-
maxlen
int
- The maxmimum length of that any subsequent braidreps can reach.
Parameters
-
braidagg
dictionary
- Dictionary that holds braidreps and logs.
-
braid
BraidWord
- Contains braidword parameter.
-
maxgen
int
- Contains maxgen parameter.
-
maxlen
int
- Contains maxlen parameter.
Attributes
<MarkovChain>.methods
-
Getter method that returns a dictionary of MarkovChain instance’s braidreps and logs, both contained in their respective lists.
self.braidagg
Returns
-
Method to clear braid instance. That is, it clears braidagg.
None
Returns
-
Method to return MarkovChain instance braidreps as a list.
-
as_word
bool
-
Defaults to return list populated by BraidWords. Setting
as_word
returns the list populated by BraidWord.word (i.e. lists).=True
Parameters
-
self.braidagg['braidreps']
Returns
-
Function to dynamically create log of Markov step @[mstep]
-
movetype
int
- Markov step[i] for i in [0, 6], inclusive. There are 7 Markov steps that determine the braid-to-braidrep modification.
-
name
str
- The name of the Markov step.
-
result
bool
- Boolean representing whether the move was successfully executed or not.
Parameters
- String of log for BraidWord.word at Markov step [i] for i in [0, 6], inclusive.
Returns
-
Method to return MarkovChain instance logs in a list. Note that the length of the list is equal to the number of braidreps requested in the num_braidreps argument of model. Each log represents the logs undergone to create a specific braidrep and is held in a dictionary. The size of the dictionary is equal to the argument passed for msteps in model.
-
self.braidagg['logs']
Returns
-
Method to model the BraidWord and generate braidreps and logs. A random number is picked between (0, 6), inclusive, determining the Markov step to perform. Another random number is picked from range(len(BraidWord.word)) that represents the index of BraidWord.word to perform the Markov step on. The braidrep is generated by picking a random index from the set of possible indices for BraidWord.word and a random Markov step that acts on BraidWord.word at the given index.
-
num_braidreps
int
- Number of braidreps to be modeled from the BraidWord given to the Markov Chain.
-
msteps
int
- The number of steps to be taken until an braidrep is considered to be complete. That is, msteps many iterations of the model process take place on a given BraidWord.
Parameters
-
Appends braidrep and log to
self.braidagg['logs']
.
Returns
Method to set a new BraidWord.
-
braidword
BraidWord
- The new BraidWord to replace the old BraidWord.
Parameters
None
Returns
-
Method to export logs, braidreps to csv. If path_or_filename not given, will export the csv to current directory with the name braidreps.csv or braidreps_and_Logs.csv. The name is implicitly determined by the parameter passed to only_braidreps.
-
path_or_filename
str
- Path or filename to store csv. If none is given, will store file in current directory under the name 'braidreps.csv' or 'braidreps_and_Logs.csv', based on the value assigned to only_braidreps.
-
only_braidreps
bool
- Determines if only braidreps should be returned or both braidreps and logs.
Parameters
- A csv file containing a dataframe with either only braidreps or both braidreps and logs, depending on parameter passed to only_braidreps.
Returns
-
Method to export logs and/or braidreps to a pandas dataframe.
-
only_braidreps
bool
- Determines if only braidreps should be returned or both braidreps and logs.
Parameters
- If only_braidreps=True returns a pandas dataframe of only braidreps. Otherwise will return a pandas dataframe with both braidreps and logs.
Returns
-
Method to export logs, braidreps to a txt file. If path_or_filename not given, will export the csv to current directory with the name braidreps.txt or braidreps_and_Logs.txt. The name is implicitly determined by the parameter passed to only_braidreps.
Note
Output Format
The format in the resulting .txt file is as follows:
braidrep[1]
...
braidrep[n]
(newline)
log[1]
...
log[n]
-
path_or_filename
str
- Path or filename to store csv. If none is given, will store file in current directory under the name 'braidreps.csv' or 'braidreps_and_Logs.csv', based on the value assigned to only_braidreps.
-
only_braidreps
bool
- Determines if only braidreps should be returned or both braidreps and logs.
Parameters
- A txt file containing a either only braidreps or both braidreps and logs, depending on parameter passed to only_braidreps.
Returns


See: Description
| Class | Description |
|---|---|
| Binarizer |
:: Experimental ::
Binarize a column of continuous features given a threshold.
|
| Bucketizer |
:: Experimental ::
Bucketizer maps a column of continuous features to a column of feature buckets. |
| ChiSqSelector |
:: Experimental ::
Chi-Squared feature selection, which selects categorical features to use for predicting a
categorical label.
|
| ChiSqSelectorModel | |
| ColumnPruner |
Utility transformer for removing temporary columns from a DataFrame.
|
| CountVectorizer |
:: Experimental ::
Extracts a vocabulary from document collections and generates a
CountVectorizerModel . |
| CountVectorizerModel |
:: Experimental ::
Converts a text document to a sparse vector of token counts.
|
| DCT |
:: Experimental ::
A feature transformer that takes the 1D discrete cosine transform of a real vector.
|
| ElementwiseProduct |
:: Experimental ::
Outputs the Hadamard product (i.e., the element-wise product) of each input vector with a
provided "weight" vector.
|
| HashingTF |
:: Experimental ::
Maps a sequence of terms to their term frequencies using the hashing trick.
|
| IDF |
:: Experimental ::
Compute the Inverse Document Frequency (IDF) given a collection of documents.
|
| IDFModel | |
| IndexToString | |
| Interaction |
:: Experimental ::
Implements the feature interaction transform.
|
| MinMaxScaler |
:: Experimental ::
Rescale each feature individually to a common range [min, max] linearly using column summary
statistics, which is also known as min-max normalization or Rescaling.
|
| MinMaxScalerModel | |
| NGram |
:: Experimental ::
A feature transformer that converts the input array of strings into an array of n-grams.
|
| Normalizer |
:: Experimental ::
Normalize a vector to have unit norm using the given p-norm.
|
| OneHotEncoder |
:: Experimental ::
A one-hot encoder that maps a column of category indices to a column of binary vectors, with
at most a single one-value per row that indicates the input category index.
|
| PCA |
:: Experimental ::
PCA trains a model to project vectors to a low-dimensional space using PCA.
|
| PCAModel | |
| PolynomialExpansion |
:: Experimental ::
Perform feature expansion in a polynomial space.
|
| QuantileDiscretizer |
:: Experimental ::
QuantileDiscretizer takes a column with continuous features and outputs a column with binned
categorical features. |
| RegexTokenizer |
:: Experimental ::
A regex based tokenizer that extracts tokens either by using the provided regex pattern to split
the text (default) or repeatedly matching the regex (if
gaps is false). |
| RFormula |
:: Experimental ::
Implements the transforms required for fitting a dataset against an R model formula.
|
| RFormulaModel |
:: Experimental ::
A fitted RFormula.
|
| SQLTransformer |
:: Experimental ::
Implements the transformations which are defined by SQL statement.
|
| StandardScaler |
:: Experimental ::
Standardizes features by removing the mean and scaling to unit variance using column summary
statistics on the samples in the training set.
|
| StandardScalerModel | |
| StopWordsRemover |
:: Experimental ::
A feature transformer that filters out stop words from input.
|
| StringIndexer |
:: Experimental ::
A label indexer that maps a string column of labels to an ML column of label indices.
|
| StringIndexerModel |
:: Experimental ::
Model fitted by
StringIndexer . |
| Tokenizer |
:: Experimental ::
A tokenizer that converts the input string to lowercase and then splits it by white spaces.
|
| VectorAssembler |
:: Experimental ::
A feature transformer that merges multiple columns into a vector column.
|
| VectorAttributeRewriter |
Utility transformer that rewrites Vector attribute names via prefix replacement.
|
| VectorIndexer |
:: Experimental ::
Class for indexing categorical feature columns in a dataset of
Vector . |
| VectorIndexerModel |
:: Experimental ::
Transform categorical features to use 0-based indices instead of their original values.
|
| VectorSlicer |
:: Experimental ::
This class takes a feature vector and outputs a new feature vector with a subarray of the
original features.
|
| Word2Vec |
:: Experimental ::
Word2Vec trains a model of
Map(String, Vector) , i.e. |
| Word2VecModel |
:: Experimental ::
Model fitted by
Word2Vec . |
Transformer
s, which
transforms one DataFrame
into another, e.g.,
HashingTF
.
Some feature transformers are implemented as Estimator
}s, because the
transformation requires some aggregated information of the dataset, e.g., document
frequencies in IDF
.
For those feature transformers, calling Estimator.fit(org.apache.spark.sql.DataFrame, org.apache.spark.ml.param.ParamPair<?>, org.apache.spark.ml.param.ParamPair<?>...)
is required to
obtain the model first, e.g., IDFModel
, in order to apply
transformation.
The transformation is usually done by appending new columns to the input
DataFrame
, so all input columns are carried over.
We try to make each transformer minimal, so it becomes flexible to assemble feature
transformation pipelines.
Pipeline
can be used to chain feature transformers, and
VectorAssembler
can be used to combine multiple feature
transformations, for example:
import java.util.Arrays;
import org.apache.spark.api.java.JavaRDD;
import static org.apache.spark.sql.types.DataTypes.*;
import org.apache.spark.sql.types.StructType;
import org.apache.spark.sql.DataFrame;
import org.apache.spark.sql.RowFactory;
import org.apache.spark.sql.Row;
import org.apache.spark.ml.feature.*;
import org.apache.spark.ml.Pipeline;
import org.apache.spark.ml.PipelineStage;
import org.apache.spark.ml.PipelineModel;
// a DataFrame with three columns: id (integer), text (string), and rating (double).
StructType schema = createStructType(
Arrays.asList(
createStructField("id", IntegerType, false),
createStructField("text", StringType, false),
createStructField("rating", DoubleType, false)));
JavaRDD rowRDD = jsc.parallelize(
Arrays.asList(
RowFactory.create(0, "Hi I heard about Spark", 3.0),
RowFactory.create(1, "I wish Java could use case classes", 4.0),
RowFactory.create(2, "Logistic regression models are neat", 4.0)));
DataFrame df = jsql.createDataFrame(rowRDD, schema);
// define feature transformers
RegexTokenizer tok = new RegexTokenizer()
.setInputCol("text")
.setOutputCol("words");
StopWordsRemover sw = new StopWordsRemover()
.setInputCol("words")
.setOutputCol("filtered_words");
HashingTF tf = new HashingTF()
.setInputCol("filtered_words")
.setOutputCol("tf")
.setNumFeatures(10000);
IDF idf = new IDF()
.setInputCol("tf")
.setOutputCol("tf_idf");
VectorAssembler assembler = new VectorAssembler()
.setInputCols(new String[] {"tf_idf", "rating"})
.setOutputCol("features");
// assemble and fit the feature transformation pipeline
Pipeline pipeline = new Pipeline()
.setStages(new PipelineStage[] {tok, sw, tf, idf, assembler});
PipelineModel model = pipeline.fit(df);
// save transformed features with raw data
model.transform(df)
.select("id", "text", "rating", "features")
.write().format("parquet").save("/output/path");
Some feature transformers implemented in MLlib are inspired by those implemented in scikit-learn.
The major difference is that most scikit-learn feature transformers operate eagerly on the entire
input dataset, while MLlib's feature transformers operate lazily on individual columns,
which is more efficient and flexible to handle large and complex datasets.


Before Change
// approach the boundary decision is already less biaised toward the majority
// class.
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 7))
X, y = create_dataset(n_samples=10000, weights=(0.01, 0.05, 0.94))
clf = LinearSVC().fit(X, y)
plot_decision_function(X, y, clf, ax1)
After Change
// to generate a smoothed bootstrap instead. The plot below shows the difference
// between the two data generation strategies.
fig, axs = plt.subplots(1, 2, figsize=(15, 7))
sampler = RandomOverSampler(random_state=0)
plot_resampling(X, y, sampler, ax=axs[0])
axs[0].set_title("RandomOverSampler with normal bootstrap")
sampler = RandomOverSampler(smoothed_bootstrap=True, shrinkage=0.2, random_state=0)


 Did you pass by the Elven Village? How are things there? Ah, I miss it so much...
Oh, pardon me for indulging my nostalgia. It is a common failing we Elves have, you know...
Buy/Sell/Refund.
Buy supplies.
View information about the local lord and tax rate.
Quest


Publication
- P. Kazanzides, Z. Chen, A. Deguet, G. S. Fischer, R. H. Taylor, and S. P. DiMaio, “An open-source research kit for the da Vinci #x00AE; Surgical System,” in 2014 IEEE International Conference on Robotics and Automation (ICRA), 2014, pp. 6434–6439.
- Z. Chen, A. Deguet, R. Taylor, S. DiMaio, G. Fischer, and P. Kazanzides, “An open-source hardware and software platform for telesurgical robotics research,” in Proceedings of the MICCAI Workshop on Systems and Architecture for Computer Assisted Interventions, Nagoya, Japan, 2013, pp. 22–26.
- L. Qian, Z. Chen, and P. Kazanzides, “An Ethernet to FireWire bridge for real-time control of the da Vinci Research Kit (dVRK),” in 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA), 2015, pp. 1–7.
- Z. Chen and P. Kazanzides, “Multi-kilohertz control of multiple robots via IEEE-1394 (firewire),” in 2014 IEEE International Conference on Technologies for Practical Robot Applications (TePRA), 2014, pp. 1–6.
- S. Vozar, Z. Chen, P. Kazanzides, and L. L. Whitcomb, “Preliminary study of virtual nonholonomic constraints for time-delayed teleoperation,” in Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on, 2015, pp. 4244–4250.
- Z. Chen and P. Kazanzides, “Force control of a non-backdrivable robot without a force sensor,” in 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013, pp. 3570–3575.
- P. Kazanzides, A. Deguet, B. Vacvolgyi, Z. Chen, and R. H. Taylor, “Modular interoperability in surgical robotics software,” Mechanical Engineering, vol. 137, no. 9, p. S19, 2015.


Radio-Electronics: Making printed circuit boards
Introduction:
Add something here
The Method
Materials:
Examples:
- Making a customized Circuit Board made easy
- DIY Hacking: Circuit Board Design – Make PCBs at home!
- ...
- ...
- ...
Miscellaneous:
References:


Ljunberg speaks after being named Arsenal interim coach
by Dennis EreziArsenal Football Club interim coach Freddie Ljungberg on Friday promised to give everything to put smiles on faces of the fans after a disappointing start to the season.
“However long I oversee Arsenal for I will give everything I have to put smiles on faces again,” Ljungberg said in a tweet.
Ljungberg was appointed Arsenal interim manager after the sack of coach Unai Emery on Friday.
The Arsenal board said they are confident of Ljungberg’s abilities for the games he will be managing the team.
“We have full confidence in Freddie to take us forward,” Josh Kroenke said on behalf of the Arsenal board.
Arsenal said their decision to sack Emery was due to poor team performance and unfavourable results in recent weeks. The club, however, thanked Emery for his efforts.
Arsenal’s last 2-1 loss in the Europa League against Eintracht Frankfurt on Thursday night made it seven consecutive matches without a win for the Gunners. This is Arsenal’s worst run since 1992.
In the Premier League, Arsenal currently sits 8th on the log with four wins, six draws and three losses
The club said they have started the search for a new head coach and will make an announcement when the process is complete.
Ljungberg, however, will begin his interim managerial career with the Gunners when they travel to Norwich on Sunday.
“We have a busy few weeks ahead and the team needs your support,” Ljungberg said.


Enumerable Methods
May 3, 2015
The map method in Ruby is an invaluable tool that you will likely use in Ruby learning for many years to come.
As you can see in the screenshot above (taken from Ruby Docs), the map method takes a block of code and applies it to each object that you pass to it. As a result, it returns the results in a new array which can be very useful when you are looking for a non-destructive way to accomplish something. If n block is given, an enumerator is returned instead.
If you've ever spent hours running the same repetitive code over different elements in an array, or needed a way to iterate over arguments and pass them through a block, then you have probably considered .map. If not, then you really should.
Let's go over the screenshot above to give you an idea of how map works, step by step.
In our example we have:
(1..4).map { |i| i*i}
Starting from the beginning we see that the elements that we're working with are a range of integers, from 1 to 4. So using 1, 2, 3, and 4 as our elements, we then take these elements individually and pass them through the block of code that we've defined for this map. The arbitrary |i| can be any variable and is simply defining the individual element being passed through. So with the first element i=1, with the second i=2, and so on and so forth.
Now that we see how the format works, let's run the elements through and see what our output would look like. So with a code block of |i| i*i, and an array of integers with a range of 1-4, what we are essentially doing is this:
|1| 1*1
|2| 2*2
|3| 3*3
|4| 4*4
As I mentioned above, the map method returns a new array. So when each object is passed through the block, it's result is stored in a new array after each permutation. Since we're doing this step by step let's take a look at how this happening step by step.
So we start with the first object passed through:
|1| 1*1 #=> [1]
We can see that the 1 was passed through the block and, the code, (the multiplication of itself) was calculated. What we also see is that output was stored in a new array. To better understand what's going on here, I'm going to run through each of calculations and show you what is happening everytime a new object is passed through. Pay attention to the objects in the new array.
|1| 1*1 #=> [1]
|2| 2*2 #=> [1, 4]
|3| 3*3 #=> [1, 4, 9]
|4| 4*4 #=> [1, 4, 9, 16]
I wrote this out this way so that you could see how each object is handled individually but similarly. Everytime a new object is run through the block, its output is added to the new array. Simple, right? Now let's look at how we accompished so much with so little code. We could have typed out the calculations for each object individually and then taken their outputs and stored them in a new array that we'd have to create or we could simply write: (1..4).map { |i| i*i} and have Ruby do all of the work. If you can't tell from my lack of desire to actually write out a calculation for each and every object and then having to create a new array to store each of these values, I prefer the map method.
As we all know, there are many different ways that we can all come to the same answer on the same questions or coding challenges. In the end however, its always the one that gets the job done right and with as litle effort as possible that wins the race in programming. Use what Ruby offers you built in to itself and you'll notice that you're finishing your work a lot faster, leaving more time to waste researching how to make whiskey at home....or whatever.


save_image/2
save_image/2 – package an application
FORMS
save_image(NewImage,Options)
DESCRIPTION
save_image/2 is called to package up the Prolog's code areas, symbol table, and module
information into a single image. Any Prolog library code which the image depends
on will not by default be packaged into the image.
NewImage should be bound to an atom which represents the pathname to the new image to
be created. Options is a list of options which control the disposition and startup
characteristics for the new image. The forms which may be on an options list to save_image/2 are:
start_goal(SGoal) – SGoal is a goal which is accessible from the user module. This goal is run in
place of the current starting goal (usually the Prolog shell) when the application
starts up. If the start_goal(SGoal) form is not specified in the options list, then the current starting goal is
retained as the starting goal for the new image.
init_goals(IGoal) – IGoal is either a single goal or a conjunction of goals to be run prior to the
starting goal (see above). IGoal will be executed after the initialization goals added by previous packages
including the ALS Prolog system itself. This form provides a mechanism for
performing initializations which the present environment requires and would be
required should any packagesbe built upon the newly saved image.
libload(Bool) – Bool is either true or false. If true, the Prolog library is loaded as part of the package. This is necessary
since the Prolog library is demand loaded and may not be part of the development
environment when the image is saved. If false, the Prolog library is not loaded as part of the package. Once created,
however, the library may still be (demand) loaded by the new image, provided the
library files are still accessible to the new image. In general, applications
which require the Prolog library and will leave the machine on which the
development environment exists should specify Bool as true. Applications which may need the library but will be run on the same machine
as the development environment can specify Bool as false if it is necessary to keep the space requirements for the new image as small
as possible.
select_lib(FilesList) – FilesList is a list library file names from the Prolog library. Each of the listed
library files is loaded as part of the package.
The process of creating a new image consists of the following steps:
- Process the options, changing the starting goal, extending the initialization
goals, or forcefully loading the Prolog library as specified by the options.
- Create a saved code state which is put into a temporary directory. The
directory in which this saved code state is put may be influenced by changing the
TMPDIR variable.
- Merge the saved code state and the current Prolog image together into a new
image file.
EXAMPLES
?- save_image(hello, [start_goal(printf('Hello world\n',[]))]).
Executing /max4/kev/merge3/M88k/Mot-SVR4/obj/./alsdir/als-mics
/max4/kev/merge3/M88k/Mot-SVR4/obj/alspro /var/tmp/aptAAAa000un hello
yes.
?- halt.
max:scratch$ hello
Hello world
max:scratch$
NOTES
The als-mics program is required to merge the code state with a working ALS
Prolog image. If this program does not exist or is inaccessible, an image will
not be saved. The place where als-mics is searched for can be obtained by
entering the following query:
?- builtins:sys_searchdir(Where).
Where will be bound to the directory where save_image expects to find the als-mics program.
Global variable values and database assertions dealing with environmental
issues should be initialized (or reinitialized) via a goal passed to init_goals.
save_image/2 prints diagnostic messages when something goes wrong. This procedure will
eventually be updated to throw errors in a manner compatible with the standard.


Letterhead
Send letters out in style - add your brand. Synchronize your letters with your business identity and build distinct messages that make an impression.
Postal mail is not dead. As a matter of fact, the age of email has lent snail mail an extra dose of impact. Still, even with nostalgia and urgency at your side, whether your letter will be read or not will still depend on how you present your message visually. When your letter is unfolded, what's the first thing the reader sees?
First and foremost, you must remember that even actual mailboxes get spammed. Before deciding if they, your readers will look at how you the information is visually presented. In Canva, you wouldn't have to worry about how you'll do this. You may just choose from a wide variety of letterhead layouts and start sending out those letters!


--- layout: post title: Verizon Wireless to Strip Apps From Android Tablets and Replace With Private App Stores for Corporate IT Shops date: '2012-01-13T13:30:55-08:00' tags: tumblr_url: http://alexhwilliams.tumblr.com/post/15790107909/verizon-wireless-to-strip-apps-from-android-tablets-and ---


JenaSecurity is a SecurityEvaluator interface and a set of dynamic proxies that apply that interface to Jena Graphs, Models, and associated methods and classes.
The SecurityEvaluator class must be implemented. This class provides
the interface to the authentication results (e.g.
getPrincipal()
) and the authorization system.
Factory.getInstance(
SecurityEvaluator, String, Graph );
Factory.getInstance(
SecurityEvaluator, String, Model )
ModelFactory.createModelForGraph(
SecuredGraph )
See Differences Between Graph and Model below for
reasons.
Graph
and
Model
The Graph interface does not have the concept of "update". Thus all
updates are implemented as a delete and an insert. The Model interface
does have the concept of update as evidenced by the
replace()
method in the
RDFList
class. This difference means that a
Model
created by calling
ModelFactory.createModelForGraph( SecuredGraph )
will yield a model that evaluates
Update
actions differently from one created with
Factory.getInstance( SecurityEvaluator, modelIRI, model)
.
This is the well documented case of differences between the two secured
model creation methods. For this reason it is recommended that the
model be created with the
Factory.getInsance()
method.


module VirtualMachine.ByteCode where
import Data.IORef
import Data.Bits
import Data.Word
import Control.Monad
import VirtualMachine.Types
import ClassFile.Types
import VirtualMachine.Debug
import VirtualMachine.Stack_Frame
import Data.Binary.IEEE754
loadConstantPool :: Runtime_Environment -> Int -> IO Value
loadConstantPool env idx = (!! idx) . constant_pool <$> readIORef (current_class env) >>= toValue
where
toValue :: CP_Info -> IO Value
toValue info = case tag info of
3 -> return . VInt . fromIntegral . bytes $ info
4 -> return . VFloat . wordToFloat . bytes $ info
5 -> return . VLong $ (fromIntegral . high_bytes $ info) `shift` 32 .|. (fromIntegral . low_bytes $ info)
6 -> return . VDouble . wordToDouble $ (fromIntegral . high_bytes $ info) `shift` 32 .|. (fromIntegral . low_bytes $ info)
8 -> readIORef (current_class env) >>= \c -> (return . VString . show . utf8_bytes) (constant_pool c !! (fromIntegral . string_index $ info))
_ -> error $ "Bad Tag: " ++ show (tag info)
{- | Starting point of execution of ByteCode isntructions -}
execute :: Runtime_Environment -> IO ()
execute env = head <$> readIORef (stack env) -- Take the head of the stack (current stack frame)
>>= \frame -> when (debug_mode env) (debugFrame frame >>= putStrLn) -- Optional Debug
>> getPC' frame >>= \pc -> maxPC frame >>= \max_pc -> -- Program Counters for comparison
-- While valid program_counter, execute instruction
unless (pc >= max_pc) (getNextBC frame >>= execute' frame >> execute env)
where
-- The main dispatcher logic
execute' :: StackFrame -> ByteCode -> IO ()
execute' frame bc
-- NOP
| bc == 0 = return ()
-- Constants
| bc >= 1 && bc <= 15 = constOp frame bc
-- Push raw byte(s)
| bc == 16 || bc == 17 =
-- Special Case: 0x10 pushes a single byte, but 0x11 pushes a short
(if bc == 16 then fromIntegral <$> getNextBC frame else getNextShort frame)
>>= pushOp frame . fromIntegral
-- Load from runtime constant pool
| bc >= 18 && bc <= 20 =
-- Special Case: 0x12 uses only one byte for index, while 0x13 and 0x14 use two
(if bc == 18 then fromIntegral <$> getNextBC frame else getNextShort frame)
>>= loadConstantPool env . fromIntegral >>= pushOp frame
-- Loads
| bc >= 21 && bc <= 53 = loadOp frame bc
-- Stores
| bc >= 54 && bc <= 86 = storeOp frame bc
-- Special Case: 'dup' is used commonly but ignored, so we have to stub it
| bc == 89 = return ()
-- Math
| bc >= 96 && bc <= 132 = mathOp frame bc
-- Conditionals
| bc >= 148 && bc <= 166 = cmpOp frame bc
-- Goto: The address is the offset from the current, with the offset being
-- the next two instructions. Since we advance the PC 2 (+1 from reading this
-- instruction), we must decrement the count by 3 to correctly obtain the target.
| bc == 167 = getNextShort frame >>= \jmp -> modifyPC frame (+ (jmp - 3))
-- Return
| bc == 177 = return ()
-- Runtime Stubs
| bc >= 178 || bc <= 195 = runtimeStub env frame bc
| otherwise = error $ "Bad ByteCode Instruction: " ++ show bc
runtimeStub :: Runtime_Environment -> StackFrame -> ByteCode -> IO ()
runtimeStub env frame bc
-- getstatic: 2 bytes wide
| bc == 178 = void $ getNextShort frame
-- invokevirtual: (append, println). NOTE: MUST HAVE ONLY ONE PARAMETER ELSE UNDEFINED
| bc == 182 = getNextShort frame >>= \method_idx -> (readIORef . current_class) env
>>= \c -> case methodName c method_idx of
"append" -> ((\x y -> VString $ show y ++ show x) <$> popOp frame <*> popOp frame) >>= pushOp frame
"println" -> popOp frame >>= print -- Defer I/O to Haskell
"toString" -> return () -- StringBuilder object is already a 'VString'
_ -> error "Bad Method Call!"
-- Invokespecial is used to call <init>, but we don't deal with that... yet
-- Invokestatic is also used Scala compatibility, which we can safely ignore
| bc == 183 || bc == 184 = void $ getNextShort frame
-- Laziness: 'new' must refer to StringBuilder... otherwise it's undefined anyway
| bc == 187 = getNextShort frame >> pushOp frame (VString "")
| otherwise = error $ "Bad ByteCode Instruction: " ++ show bc
where
methodName :: Class -> Word16 -> String
methodName clazz method_idx = let
cpool = constant_pool clazz
method_ref = cpool !! fromIntegral method_idx
name_and_type = cpool !! fromIntegral (name_and_type_index method_ref)
utf8_name = cpool !! fromIntegral (name_index name_and_type)
in show . utf8_bytes $ utf8_name
{- | Loads from local_variables to operand_stack -}
loadOp :: StackFrame -> ByteCode -> IO ()
loadOp frame bc
-- Loads with the index as the next bytecode instruction
| bc >= 21 && bc <=25 = getNextBC frame >>= getLocal' frame >>= pushOp frame
-- Loads with a constant index (I.E: ILOAD_0 to ILOAD_3 have indice 0 to 3 respectively)
| bc >= 26 && bc <= 45 = getLocal' frame ((bc - 26) `mod` 4) >>= pushOp frame
| otherwise = error $ "Bad ByteCode Instruction: " ++ show bc
{- | Stores from operand_stack to local_variables -}
storeOp :: StackFrame -> ByteCode -> IO ()
storeOp frame bc
-- Stores with the index as the next bytecode instruction
| bc >= 54 && bc <= 58 = popOp frame >>= \op -> getNextBC frame >>= \idx -> putLocal frame idx op
>> when (bc == 55 || bc == 57) (putLocal frame (idx + 1) (VReference 0))
-- Stores with a constant index (I.E: ISTORE_0 to ISTORE_3 have indice 0 to 3 respectively)
| bc >= 59 && bc <= 78 = let idx = ((bc - 59) `mod` 4) in
popOp frame >>= putLocal frame idx
-- Special Case: Double word-sized variables, such as 'long' and 'double' must
-- take up two slots. We fit both types in a single slot, but the compiler generates
-- ByteCode that are sensitive to these invariants, so we insert a dummy null reference
-- in the second slot to restore that balance.
>> when ((bc >= 63 && bc <= 66) || (bc >= 71 && bc <= 74))
((putLocal frame $ idx + 1) (VReference 0))
| otherwise = error $ "Bad ByteCode Instruction: " ++ show bc
{- | Stores constant values on the Operand Stack. -}
constOp :: StackFrame -> ByteCode -> IO ()
constOp frame bc
-- Null Reference
| bc == 1 = pushOp frame (VReference 0)
-- Integer Constants
| bc >= 2 && bc <= 8 = pushOp frame (VInt (fromIntegral $ bc - 3))
-- Long Constants
| bc == 9 || bc == 10 = pushOp frame (VLong (fromIntegral $ bc - 9))
-- Float Constants
| bc >= 11 && bc <= 13 = pushOp frame (VFloat (fromIntegral $ bc - 11))
-- Double Constants
| bc >= 14 && bc <= 15 = pushOp frame (VDouble (fromIntegral $ bc - 14))
-- ERROR
| otherwise = error $ "Bad ByteCode Instruction: " ++ show bc
{- | Math operations which are abstracted by the Value type. -}
mathOp :: StackFrame -> ByteCode -> IO ()
mathOp frame bc
| bc >= 96 && bc <= 99 = applyBinaryOp (+)
| bc >= 100 && bc <= 103 = applyBinaryOp (-)
| bc >= 104 && bc <= 107 = applyBinaryOp (*)
| bc >= 108 && bc <= 111 = applyBinaryOp div
| bc >= 112 && bc <= 115 = applyBinaryOp rem
| bc >= 116 && bc <= 119 = applyUnaryOp negate
-- Need to implement as lambda due to shiftL and shiftR requiring type Int
| bc == 120 || bc == 121 = applyBinaryOp (\x y -> x `shiftL` fromIntegral y)
| bc >= 122 && bc <= 125 = applyBinaryOp (\x y -> x `shiftR` fromIntegral y)
| bc == 126 || bc == 127 = applyBinaryOp (.&.)
| bc == 128 || bc == 129 = applyBinaryOp (.|.)
| bc == 130 || bc == 131 = applyBinaryOp xor
| bc == 132 = increment
| otherwise = error $ "Bad ByteCode Instruction: " ++ show bc
where
applyUnaryOp :: (Operand -> Operand) -> IO ()
applyUnaryOp f = popOp frame >>= pushOp frame . f
applyBinaryOp :: (Operand -> Operand -> Operand) -> IO ()
applyBinaryOp f = replicateM 2 (popOp frame) >>= \(x:y:_) -> pushOp frame (f y x)
increment :: IO ()
increment = -- 'iinc' has local variable index as first, with value as second indice
join $ modifyLocal frame <$> getNextBC frame <*> ((+) . fromIntegral <$> getNextBC frame)
{- | Conditional jump instructions ('if', 'for', and 'while') -}
cmpOp :: StackFrame -> ByteCode -> IO ()
cmpOp frame bc
| bc >= 148 && bc <= 152 = pushCmp
| bc >= 153 && bc <= 166 = getPC' frame >>= \pc -> getNextShort frame >>= \jmp ->
-- Special Case: We combine instructions which directly compare two different
-- values for a jump by first pushing the result of the comparison on the operand
-- stack, and THEN comparing them to save time and code.
when (bc >= 159) pushCmp >> cmpJmp (pc + jmp - 1)
| otherwise = error $ "Bad ByteCode Instruction: " ++ show bc
where
pushCmp :: IO ()
pushCmp = (flip compare <$> popOp frame <*> popOp frame) >>= pushOrd
pushOrd :: Ordering -> IO ()
pushOrd ord = pushOp frame (VInt (ordToInt ord))
cmpJmp :: Word16 -> IO ()
cmpJmp
| bc == 153 || bc == 159 || bc == 165 = flip condJmp [EQ]
| bc == 154 || bc == 160 || bc == 166 = flip condJmp [LT, GT]
| bc == 155 || bc == 161 = flip condJmp [LT]
| bc == 156 || bc == 162 = flip condJmp [GT, EQ]
| bc == 157 || bc == 163 = flip condJmp [GT]
| bc == 158 || bc == 164 = flip condJmp [LT, EQ]
| otherwise = error $ "Bad ByteCode Instruction: " ++ show bc
condJmp :: Word16 -> [Ordering] -> IO ()
condJmp jmp ords = popOp frame >>= \cmp -> when (enumToOrd cmp `elem` ords)
(readIORef frame >>= flip (writeIORef . program_counter . code_segment) (fromIntegral jmp))
ordToInt :: Ordering -> Int
ordToInt ord = case ord of
GT -> 1
EQ -> 0
LT -> -1
enumToOrd :: Integral a => a -> Ordering
enumToOrd x = case x of
1 -> GT
0 -> EQ
-1 -> LT
_ -> error "Bad Enumerable Value! "
{- | Obtains the next ByteCode instruction and increments the PC -}
getNextBC :: StackFrame -> IO ByteCode
getNextBC frame = readIORef frame >>= \f -> -- Read StackFrame from passed reference
let segment = code_segment f in -- Retrieve current set of instructions
readIORef (program_counter segment) >>= \n -> -- Read current ByteCode instruction
modifyIORef (program_counter segment) (+1) >> -- Increment PC
return (byte_code segment !! fromIntegral n) -- Return ByteCode instruction
{- | Obtains the next two ByteCode instructions as a short, and increments the PC by 2 -}
getNextShort :: StackFrame -> IO Word16
getNextShort frame = replicateM 2 (getNextBC frame) >>= \(i1:i2:_) ->
return $ fromIntegral i1 `shift` 8 .|. fromIntegral i2


undaqTools uses the HDF5 (Hierarchical Data Format) data model to store the data contained within NAD’s DAQ files.
The undaq.py script allows you to parallel batch processing DAQ files to HDF5. Once converted Daq instances can be loaded from HDF5 in a fraction of the time. Upon installation undaq.py should create a link in the Scripts directory of your Python installation. If your Scripts directory is in your path you should be able to call it from the command line
Note
With Windows Vista/7/8 holding down shift while right-clicking in an explorer window will add a “Open Command Window Here” option to the context menu.
Ussage is pretty straight forward. You give it a wild card argument and it searches for daq files that meet that wildcard. For example you wish to convert all daq files in the current directory:
$ undaq.py *
If each participant has there own folder from parent folder you could specify:
$ undaq.py */*
By default undaq will only run with 1 cpu. If you wish to convert daqs in parallel use the -n or –numcpu flag:
$ undaq.py */* -n 6
This would tell undaq to convert all the daq files one level down using 6 cores.
 Even the fastest computers don’t work very well when they run out of memory!
By default undaq.py will only convert daq files that haven’t already been converted to hdf5. The idea being that you will probably be incrementally looking at the data as you accumulate participants. If you need to rebuild all of the hdf5 files you can use the -r or –rebuild flag.:
$ undaq.py */* -n 6 -r
if you want to output mat files for ndaqTools you can use -o mat or –output mat:
$ undaq.py */* -n 6 -o mat
By default undaq will process all the dynamic objects in the drive. If you wish to supress this use the -p or -process_dynobjs. The presence of the flag turns the processing off.
lastly there is a flag print debugging information -d or –debug:
$ undaq.py */* -n 6 -d
There are multiple level of error checking so the batch processing should never completely fail (knock-on-wood, don’t forget the caveat about memory ussage), but sometimes warnings might get thrown if the daq is missing frames or ends abruptly. When these things occur undaq does its best to fix what went wrong fix the Daq files.
Example Output:
C:\LocalData\Left Lane>undaq.py */* -n 6 -r -d
Glob Summary
--------------------------------------------------------------------
hdf5
daq size (KB) exists
--------------------------------------------------------------------
Part01\Left_01_20130424102744.daq 1,535,587 True
Part02\Left_02_20130425084730.daq 1,543,370 True
Part03\Left_03_20130425102301.daq 1,518,779 True
Part04\Left_04_20130425142804.daq 1,387,550 True
Part05\Left_05_20130425161122.daq 1,609,689 True
Part06\Left_06_20130426111502.daq 1,364,879 True
Part07\Left_07_20130426143846.daq 1,509,513 True
Part08\Left_08_20130426164114.daq 4,565 True
Part08\Left_08_20130426164301.daq 1,426,507 True
Part09\Left09_20130423155149.daq 1,339,437 True
Part10\Left10_20130423155149.daq 1,339,437 True
Part111\Left_11_20130430081052.daq 1,463,012 True
Part12\Left_12_20130429163745.daq 1,431,765 True
Part13\Left_13_20130429182923.daq 1,507,542 True
Part14\Left_14_20130430102504.daq 1,502,793 True
Part15\Left_15_20130430171947.daq 1,669,443 True
Part16\Left_16_20130501103917.daq 1,341,214 True
Part170\Left_17_20130501163745.daq 1,552,098 True
Part18\Left_18_20130502084422.daq 416,873 True
Part18\Left_18_reset_20130502090909.daq 1,128,833 True
Part19\Left_19_20130502153547.daq 1,526,510 True
Part200\Left_20_20130509094509.daq 1,572,357 True
--------------------------------------------------------------------
debug = True
rebuild = True
process_dynobjs = True
Converting daqs with 6 cpus (this may take awhile)...
Part01\Left_01_20130424102744.daq -> .hdf5 (200.7 s)
Part02\Left_02_20130425084730.daq -> .hdf5 (207.0 s)
Part03\Left_03_20130425102301.daq -> .hdf5 (193.0 s)
Part04\Left_04_20130425142804.daq -> .hdf5 (180.0 s)
Part05\Left_05_20130425161122.daq -> .hdf5 (213.1 s)
Part06\Left_06_20130426111502.daq -> .hdf5 (194.9 s)
Part07\Left_07_20130426143846.daq -> .hdf5 (194.7 s)
Part08\Left_08_20130426164114.daq -> .hdf5 (0.6 s)
Part08\Left_08_20130426164301.daq -> .hdf5 (189.3 s)
Part09\Left09_20130423155149.daq -> .hdf5 (163.3 s)
Part10\Left10_20130423155149.daq -> .hdf5 (174.0 s)
Part111\Left_11_20130430081052.daq -> .hdf5 (189.4 s)
Part12\Left_12_20130429163745.daq -> .hdf5 (193.7 s)
Part13\Left_13_20130429182923.daq -> .hdf5 (182.5 s)
Part14\Left_14_20130430102504.daq -> .hdf5 (183.9 s)
Part15\Left_15_20130430171947.daq -> .hdf5 (212.5 s)
Part16\Left_16_20130501103917.daq -> .hdf5 (173.6 s)
Part170\Left_17_20130501163745.daq -> .hdf5 (196.5 s)
Part18\Left_18_20130502084422.daq -> .hdf5 (55.2 s)
Part18\Left_18_reset_20130502090909.daq -> .hdf5 (144.5 s)
Part19\Left_19_20130502153547.daq -> .hdf5 (150.7 s)
Part200\Left_20_20130509094509.daq -> .hdf5 (152.1 s)
Debug Summary
Part01\Left_01_20130424102744.daq
Warning: Missing 3 frames. (interpolated missing frames)
Part02\Left_02_20130425084730.daq
Warning: Missing 2 frames. (interpolated missing frames)
Part06\Left_06_20130426111502.daq
Warning: Missing 1 frames. (interpolated missing frames)
Part07\Left_07_20130426143846.daq
Warning: Missing 2 frames. (interpolated missing frames)
Part08\Left_08_20130426164301.daq
Warning: Missing 1 frames. (interpolated missing frames)
Part200\Left_20_20130509094509.daq
Warning: Missing 3 frames. (interpolated missing frames)
Batch processing completed.
--------------------------------------------------------------------
Conversion Summary
--------------------------------------------------------------------
Total elapsed time: 709.3 s
Data converted: 28,995.864 MB
Data throughput: 40.9 MB/s
--------------------------------------------------------------------
C:\LocalData\Left Lane>
The Glob Summary is emitted immediately and allows users to see what files undaq has found and see whether it already has a cooresponding daq or hdf5 file converted.
After the summary undaq will tell you whether it is in debug mode, as well as whether it is in rebuild mode.
undaq.py will produce a running log alerting users as their daqs finish. The multiprocessing maintains the order from the glob summary so the output may be delayed until other files in its multiprocessing cohort complete.
To make the output more readable undaq catches and supresses the warnings until the batch processing has finished, and will only display if in debug mode.
Lastly, a conversion summary is provided. From this we can see it processed almost 30 Gb of data in 709.3 seconds at a rate of 40.9 MB/s. These particular files have the additional overhead of several hundred Ados that have to be unpacked.
Daq objects can be initialized in two ways. The first is to read the DAQ files directly.
>>> from undaqTools import Daq
>>> daq = Daq()
>>> daq.read(daq_file)
Daq.read will also unpack and process any dynamic objects that might be present during the drive. This processing is computationally intensive can significantly increase the processing time depedending on how many dynamic objects were present. This can be suppressed with the process_dynobjs keyword argument if so desired.
>>> daq.read(daq_file, process_dynobjs=False)
Once loaded, saving the hdf5 is as simple as:
>>> daq.write_hd5(hd5_file)
Assuming you have already converted your DAQS to HDF5 using the above method or using the undaq.py script you could load the HDF5 file directly:
>>> daq.read_hd5(hd5_file)
Reading HDF5 files is about 2 magnitude orders faster than reading DAQ files directly. The suggested interaction is to use the undaq.py script to convert your DAQ files to HDF5. Once they have been converted the DAQs should be archived but should not be needed for the data analysis.
To save memory and time a list of element wildcards to load can be supplied to read_hd5:
>>> elemlist = ['VDS_Veh*', 'CFS_Accelerator_Pedal_Position']
>>> daq.read_hd5(hd5_file, elemlist=elemlist)
Every wildcard in elemlist is matched to the elements in the HDF5 file. The above example would load all the elements beginning with ‘VDS_Veh’ and ‘CFS_Accelerator_Pedal_Position’.
The wildcard matching is Unix-shell style case-normalized matching (i.e. not regex).
Note
No warnings are provided if your wildcards don’t match the elements in the HDF5.
The DAQ files provide an almost overwhelming amount of data. When you first start getting acquainted with your driving simulator data it is easy to forget what contain the the things that you are interested in. The match_keys function makes this a little easier by allowing you to find keys that match Unix style wildcard patterns. The searches are case insensitive.
>>> daq.match_keys('*veh*dist*')
[u'VDS_Veh_Dist', u'SCC_OwnVeh_PathDist', u'SCC_OwnVehToLeadObjDist']
If you want to get metadata from a DAQ file but don’t have it converted to HDF5 you can use the undaqTools.stat() function to pull out the info metadata.
>>> from undaqTools import stat
>>> info = stat('data reduction_20130204125617.daq')
Info(run='data reduction',
runinst='20130204125617',
title='Nads MiniSim',
numentries=245,
frequency=59,
date='Mon Feb 04 12:56:17 2013\n',
magic='7f4e3d2c',
subject='part12',
filename='data reduction_20130204125617.daq')
When you load data into a Daq instance the info attribute contains this metadata. The Info dict is stored as a namedTuple to prevent or at least discourage users from altering this metadata.
The data reductions are usually hypothesis driven. This means that we need to obtain dependent measures reflecting the conditions of independent variables. To perform the statistical analyses we need to keep track of these things as well as other metadata. Every Daq instance has an etc dictionary that can be used to store this metadata. Daq.write_hd5() will export the etc dict and Daq.read_hd5() will restore it.
>>> daq.etc['Gender'] = 'M'
>>> daq.etc['Factor1'] = [ 10, 20, 10, 20, 10, 20]
>>> daq.etc['Factor2'] = ['A','A','A','B','B','B']
The hdf5 file format is somewhat limited in the datatypes that it can store. To get data in and out of hdf5 repr is applied to the values and a modified version of ast.literal_eval is used to get the data back out. this is to avoid security vulnerabilities with untrusted hdf5 Daq representations (if eval was used). As a result only Python literal structures (strings, numbers, tuples, lists, dicts, booleans, and None) and undaqTools FrameSlice and FrameIndex objects can be stored. The code doesn’t check to see if the etc dict will export and import when the attribute changes. To get this to work you would have to interact with etc through getter and setter methods and it just doesn’t seem particularly worth the hassle.
Daq objects are dictionary objects. The keys coorespond to the NADS variable names in the DAQ files. The values are Element object instances. The Element class inherents numpy ndarrays and they are always 2 dimensional.
>>> daq['VDS_Veh_Speed'].shape
(1L, 10658L)
Because Element is a numpy.ndarray subclass they behave, for the most part, just like the plain old numpy arrays that you are (hopefully) use to.
>>> np.mean(daq['VDS_Veh_Speed'])
76.4363
They also keep track of the frames that their data represent. The frames are always a 1 dimensional and are aligned with the second axis of the Element’s data.
>>> veh_spd = daq['VDS_Veh_Speed']
>>> type(veh_spd.frames)
<type 'numpy.ndarray'>
>>> veh_spd.shape
(10658L,)
Dynamic objects also contain attribute data as Elements and may only be present during a subset of the drive. Because the dynamic object data and the CSSDC measures are unaligned with the Elements it is not always possible or convenient to simply use indexes to slice Elements. We need to slice based on frames. This is possible with fslice()
>>> daq['VDS_Veh_Speed'][0, fslice(4000, 4010)]
Element(data = [ 42.17745972 42.3068924 42.4354744 42.56311417 42.68973923
42.81529999 42.93975449 43.06305313 43.18511963 43.3058815 ],
frames = [4000 4001 4002 4003 4004 4005 4006 4007 4008 4009],
name = 'VDS_Veh_Speed',
numvalues = 1,
rate = 1,
varrateflag = False,
nptype = float32)
As the reader can see from the string representation other metadata from the header block of the DAQ file gets attached to the Element.
Many of the available measures are Change State Signal Detection (CSSDC) measures. they contains categorical data that only updates when a change in state is detected.
>>> daq['TPR_Tire_Surf_Type']
Element(data = [[11 1 1 11 11 11 1 1 11 11 3 3 3 3 3 3 11 11 1 1 11 11 1 1]
[11 1 1 11 11 11 1 1 11 11 11 11 3 3 11 11 11 11 1 1 11 11 1 1]
[11 11 1 1 1 11 11 1 1 11 11 3 3 3 3 3 3 11 11 1 1 11 11 1]
[11 11 1 1 11 11 11 1 1 11 11 11 11 3 3 11 11 11 11 1 1 11 11 1]
[ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]
[ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]],
frames = [ 2716 5519 5523 5841 5844 5845 7970 7973 8279 8284 8785 8791
8818 8824 9127 9132 9166 9171 10270 10274 10597 10600 12655 12659],
name = 'TPR_Tire_Surf_Type',
numvalues = 10,
rate = -1 (CSSDC),
varrateflag = False,
nptype = int16)
The above example contains data pertaining to surface type for the 4 tires and has 6 unfilled rows for additional tires.
All elements with a rate != 1 (as defined in the DAQ file) are considered CSSDC. We can check this with isCSSDC()
>>> daq['TPR_Tire_Surf_Type'].isCSSDC()
True
>>> daq['VDS_Veh_Speed'].isCSSDC()
False
Use findex() to get the state at a given frame (even if the frame is not defined)
>>> # frame 5800 is not explictly defined
>>> daq['TPR_Tire_Surf_Type'][:4, findex(5800)]
array( [[ 1],
[ 1],
[ 1],
[ 1]], dtype=np.int16)
If you ask for a frame before the first defined frame you will get nan. If you ask for a frame after the last defined frame you will get the last frame.
method it is easy to test whether an Element contains CSSDC data. The value at any frame between the first and last frame defined for a CSSDC Element can be obtained through slicing. This treats the data as categorical and always returns the last defined state.
The Daq Class has some built-in visualization routines. Multipanel timeseries plots can be constructed with the plot_ts() method. The method takes a list of tuples containing the element names and row indices to plot. Each list argument becomes a subplot. The xindx keyword allows one to control the range of the x-axis across all of the subplots.
The code is smart enough to dynamically adjust its height as additional subplots are specified. It also knows to represent CSSDC measures as step functions. The method returns a matplotlib.figure.Figure instance.
Building a timeseries plot:
import matplotlib.pyplot as plt
from undaqTools import Daq
elems_indxs = [('CFS_Accelerator_Pedal_Position', 0),
('SCC_Spline_Lane_Deviation', 1),
('SCC_Spline_Lane_Deviation_Fixed', 0),
('SCC_Spline_Lane_Deviation', 3),
('VDS_Tire_Weight_On_Wheels', slice(0,4))]
daq = Daq()
daq.read_hd5(hdf5file)
fig = daq.plot_ts(elems_indxs, xindx=fslice(6000, None))
fig.savefig('ts_plot.png')
plt.close('all')
Download [hi-res]
The Daq Class also has a routine to visualize the pathes taken by the OwnVehicle and dynamic objects.
dynobjs plot:
import matplotlib.pyplot as plt
from undaqTools import Daq
daq = Daq()
daq.read_hd5(hdf5file)
fig = daq.plot_dynobjs('Ado*')
fig.savefig('dynobjs_plot.png')
plt.close('all')
Download [hi-res]
Absence of Time
Time is almost completly redundant with the frames data for most things. Just start thinking in frames. It will soon become second nature.
If you do need millisecond precision timing there is the ‘SCC_Graphics_Wall_Clock_Time’ element. It an int32 Element with millisecond units. It doesn’t start at 0.


This is an Apache Cordova application that makes calls to the Cordova Device API.
Waiting for Cordova Initialization to complete.


Volkswagen cuts forecasts amid downturn in passenger car demand
by Alex DanielGerman car maker Volkswagen has cut its forecasts for operating profit and sales growth because of a downturn in demand for passenger cars.
“It is fair to say that the very best of the party is over,” chief financial officer Frank Witter told analysts.
Volkswagen has become the latest automotive giant to warn that the industry is facing difficult times, as firms pump money into electric and self-driving cars while a trade war between the US and China hampers growth.
The firm said it now expects operating profit to rise at least 25 per cent over 2016-2020, down from its previous forecast of more than 30 per cent, according to presentation slides.
The Wolfsburg-based company also cut its forecast for sales growth over the period to 20 per cent from more than 25 per cent.
Shares fell four per cent to €176.
“We believe this largely reflects softer volume growth expectations,” Citi analysts said in a note.
Volkswagen maintained its targets for an operating margin of 6.5-7.5 per cent in 2019-2020 and seven to eight per cent in 2025.
It said that to counteract the costs of rolling out electric cars, it would increase sales of higher-margin SUVs and try to bring down the cost of making electric cars, chief executive Herbert Diess said.
Volkswagen’s new ID3 electric vehicle, for example, will be 40 per cent cheaper to build than the electric version of its Golf model, he told investors.
As the battery pack in the new ID3 can be used to add structural rigidity, some savings can be made to the vehicle body. Furthermore, the modular layout of the battery aids efficient packaging and economies of scale, he added.
Volkswagen said it would start producing the ID3 in Dresden as well as in Zwickau, eastern Germany.
Electric cars will reach cost parity with gasoline and diesel variants from about 2025 onwards, the company said, helping to deliver profit margin targets.


This is my family. My mother, my father and my older brother Mycroft. My mother is a genius like me and Mycroft but I can't say that for my father.
We actually don't see each others except chrismas. Mycroft work in government, I solve crimes all the time. I mean we all are busy.
The truth is I love each and every one of them.


{% extends 'base.html' %} {% block title %}My fingerprint{% endblock %} {% block script %} {% endblock %} {% macro duplicate_message() -%}
Note: Your fingerprint was not recorded because it appears you have already visited this page and submitted the same fingerprint. If you believe this is an error, please contact me.
{%- endmacro %} {% macro overall_similarity_tooltip(span_id, similarity_value='') -%}Headers from the initial request for this webpage.
{% if duplicate %}{{ duplicate_message() }}{% endif %} {{ overall_similarity_tooltip('initial-request-overall-similarity', overall_similarity) }}| Header | Value | {{ similarity_tooltip() }} |
|---|---|---|
| {{ key }} | {{ val if val else '' }} | {{ similarity }} |
Fingerprinting data collected via JavaScript, reported via an AJAX request.
Loading... (may take several seconds on some hardware)
| Header | Value | {{ similarity_tooltip() }} |
|---|
| Other attribute | Value | {{ similarity_tooltip() }} |
|---|
Image used to generate the hash for the Canvas fingerprint.
Image used to generate the hash for the WebGL fingerprint. This is a placeholder image until I implement a more complex image with multiple shapes and colors.
Error: There was an error while processing the JavaScript fingerprint. Please click "Submit" below to submit an error report.


Before Change
end_row_position, end_col_position)
start_end_positions = [(seq1_start_position, end_col_position-1),
(seq2_start_position, end_row_position-1)]
result = Alignment(
[BiologicalSequence(aligned1, id=0),
BiologicalSequence(aligned2, id=1)],
score=score, start_end_positions=start_end_positions)
return result
def global_pairwise_align_nucleotide(seq1, seq2, gap_open_penalty=5,
After Change
except AttributeError:
seq2_id = "1"
return Alignment(
[BiologicalSequence(aligned1, id=seq1_id),
BiologicalSequence(aligned2, id=seq2_id)],
score=score, start_end_positions=start_end_positions)
return result
def global_pairwise_align_nucleotide(seq1, seq2, gap_open_penalty=5,


JavaScript is disabled on your browser.
Overview
Package
Class
Use
Tree
Deprecated
Index
Help
Prev Letter
Next Letter
Frames
No Frames
All Classes
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
R
S
T
U
V
W
X
Y
G
Game
- Interface in
com.shootemoff.framework
game_score
- Variable in class com.shootemoff.game.
GameOverActivity
GameActivity
- Class in
com.shootemoff.game
GameActivity()
- Constructor for class com.shootemoff.game.
GameActivity
GameOverActivity
- Class in
com.shootemoff.game
GameOverActivity()
- Constructor for class com.shootemoff.game.
GameOverActivity
GameScreen
- Class in
com.shootemoff.game
GameScreen(GameActivity, OptionsObject)
- Constructor for class com.shootemoff.game.
GameScreen
GAP_ANGLE
- Static variable in class com.shootemoff.game.
ControlPad
GAP_ANGLE
- Static variable in class com.shootemoff.game.
Core
getAudio()
- Method in interface com.shootemoff.framework.
Game
getAudio()
- Method in class com.shootemoff.framework.impl.
AndroidGame
getAzimuth()
- Method in class com.shootemoff.framework.impl.
AndroidInput
getAzimuth()
- Method in class com.shootemoff.framework.impl.
AndroidOrientationHandler
getAzimuth()
- Method in interface com.shootemoff.framework.impl.
OrientationHandler
getAzimuth()
- Method in interface com.shootemoff.framework.
Input
getCanvas()
- Method in interface com.shootemoff.framework.
Graphics
getCanvas()
- Method in class com.shootemoff.framework.impl.
AndroidGraphics
getCurrentScreen()
- Method in interface com.shootemoff.framework.
Game
getCurrentScreen()
- Method in class com.shootemoff.framework.impl.
AndroidGame
getFileIO()
- Method in interface com.shootemoff.framework.
Game
getFileIO()
- Method in class com.shootemoff.framework.impl.
AndroidGame
getGraphics()
- Method in interface com.shootemoff.framework.
Game
getGraphics()
- Method in class com.shootemoff.framework.impl.
AndroidGame
getHeight()
- Method in interface com.shootemoff.framework.
Graphics
getHeight()
- Method in class com.shootemoff.framework.impl.
AndroidGraphics
GetHighScores()
- Method in class com.shootemoff.game.
StorageHandler
getInput()
- Method in interface com.shootemoff.framework.
Game
getInput()
- Method in class com.shootemoff.framework.impl.
AndroidGame
getKeyEvents()
- Method in class com.shootemoff.framework.impl.
AndroidInput
getKeyEvents()
- Method in class com.shootemoff.framework.impl.
KeyboardHandler
getKeyEvents()
- Method in interface com.shootemoff.framework.
Input
GetSize()
- Method in class com.shootemoff.game.
StorageHandler
getStartScreen()
- Method in interface com.shootemoff.framework.
Game
getStartScreen()
- Method in class com.shootemoff.game.
GameActivity
getTime()
- Method in class com.shootemoff.game.
World
getTouchEvents()
- Method in class com.shootemoff.framework.impl.
AndroidInput
getTouchEvents()
- Method in class com.shootemoff.framework.impl.
MultiTouchHandler
getTouchEvents()
- Method in class com.shootemoff.framework.impl.
SingleTouchHandler
getTouchEvents()
- Method in interface com.shootemoff.framework.impl.
TouchHandler
getTouchEvents()
- Method in interface com.shootemoff.framework.
Input
getTouchX()
- Method in class com.shootemoff.framework.impl.
AndroidInput
getTouchX()
- Method in class com.shootemoff.framework.impl.
MultiTouchHandler
getTouchX()
- Method in class com.shootemoff.framework.impl.
SingleTouchHandler
getTouchX()
- Method in interface com.shootemoff.framework.impl.
TouchHandler
getTouchX()
- Method in interface com.shootemoff.framework.
Input
getTouchY()
- Method in class com.shootemoff.framework.impl.
AndroidInput
getTouchY()
- Method in class com.shootemoff.framework.impl.
MultiTouchHandler
getTouchY()
- Method in class com.shootemoff.framework.impl.
SingleTouchHandler
getTouchY()
- Method in interface com.shootemoff.framework.impl.
TouchHandler
getTouchY()
- Method in interface com.shootemoff.framework.
Input
getVibration()
- Method in interface com.shootemoff.framework.
Game
getVibration()
- Method in class com.shootemoff.framework.impl.
AndroidGame
getWidth()
- Method in interface com.shootemoff.framework.
Graphics
getWidth()
- Method in class com.shootemoff.framework.impl.
AndroidGraphics
GetX()
- Method in class com.shootemoff.game.
Point
GetY()
- Method in class com.shootemoff.game.
Point
Graphics
- Interface in
com.shootemoff.framework
gun_bottom
- Variable in class com.shootemoff.game.
World
gun_bottom_coef
- Variable in class com.shootemoff.game.
World
gun_left
- Variable in class com.shootemoff.game.
World
gun_left_coef
- Variable in class com.shootemoff.game.
World
gun_reload_time
- Variable in class com.shootemoff.game.
OptionsObject
gun_right
- Variable in class com.shootemoff.game.
World
gun_right_coef
- Variable in class com.shootemoff.game.
World
gun_top
- Variable in class com.shootemoff.game.
World
gun_top_coef
- Variable in class com.shootemoff.game.
World
gunControl
- Variable in class com.shootemoff.game.
World
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
R
S
T
U
V
W
X
Y
Overview
Package
Class
Use
Tree
Deprecated
Index
Help
Prev Letter
Next Letter
Frames
No Frames
All Classes


What did the bra say to the hat?  Why do crabs never give to charity? Because they're shellfish. What did the red light say to the green light? Look awayyyyy I'm changing. What do you call a lost wolf? A Where-wolf. What's red and smells like white paint? Red Paint. How do you make hold water?  I'd like to make a shout out to sidewalks, for keeping me off the streets.
Book Worm Octocat
Computer Octocat
Investigative Octocat
mad Scientist Octocat
power Octocat
wizard Octocat


First things first lets show of some images
Let's show off some inline elements!
Here's italics for emphasis.
Here's bold for strong emphasis.
Here's italicized bold for super strong emphasis.
A soft line break will look like this where
the text is on a new line without wrapping.
I broke up the text with a hard line. I'm really liking HTML.


I keep hearing about the addictive properties of paroxetine, and have never experienced this problem. I began taking Paxil in early April and continued for about three months, until I ran out, basically. I found that in order to avoid increasing dosages, parachuting the dosage helped the intensity as well as shortened the duration of the high. Parachuting, for those who don't know, involves crushing the pill to a fine powder and swallowing it wrapped in a small square of tissue (toilet paper or Kleenex). The effects I got off it were probably due in part to other things I was on at various times, including Marijuana, alchohol, and once, mushrooms (though the mushrooms didn't seem to enhance or detract). Since I normally took it in conjunction with marijuana, my high was affected by it.
The effects I commonly experienced included an inability to hear very well anything but bass-range sounds. I struggled to hear my girlfriend talk while sitting right next to me, but could easily hear the rumble of traffic and of the washing machine. I had an odd visual effect that made everything seem like it was shot on Super-8 film through a green bottle-end, very odd, uncharacteristic thoughts that tended toward the dark end of the spectrum, usually having to do with the death of others, usually perfect strangers & in rather graphic ways. I had absolutely no reaction to temperature. I'd go from air-conditioning to a 95-degree day and not really notice the difference. I had a lack of emotion or desire to speak to anyone, including a sensation that nobody really noticed if I was in the room and that I may not, in fact, actually be in the vicinity of anything I was seeing.
I was unable to sleep even though extremely drowsy and experienced a somewhat dreamlike state, and most bizarre, a sensation of time slowing down so much that everything looked and sounded as though it was happening in an extremely viscous corn-syrup. I did have friends who claimed that all they got out of the Paxil (approx. 80-100 mg) was extreme sleepiness, however. On the come-down, everything seemed too glaring, loud, and fast, and I felt a sensation like wind on my skin at all times, and a feeling of springiness in my legs.
Typically I didn't take anything until about 3 or 4 pm, which meant I was awake until it wore off enough to allow me to sleep at about 4 am. Parachuting seemed to abbreviate the effects by about 3 hours, but the effects were somewhat more intense. I managed to reach 120 mg without any more serious side effects than dry mouth and some slight vertigo, and getting off it gave me no problems at all. As far as learning anything, all I discovered from the experience was that, obviously, the experiences of others are a rather difficult guide at times for knowing what to expect, and that occasionally, you'll be caught by surprise.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Last week, the party teleported into the Spine of the World. When they arrived, they were immediately ambushed by a strange group of half-naked1 men covered in arcane sigils. They attacked the party in a flurry of flaming fists, magically made missiles, and generally gratuitous grappling. The party responded by killing all but one of them.
Interrogation revealed their prisoner, named "39", was remarkably pliable2. He was from the Moravian Empire, and was a soldier in their war with the dragons. He said there were about 20,000 Moravian troops fighting the dragons, split into about 200 different numbered "groups". They had seized the teleport rooms on the outskirts of the most populous draconic area three days ago. Reggie said the closest entrance to that central area was four hours away, so the party prepared to set off after a quick rest. While the party was resting, they were inspected by another Moravian, who they quickly took prisoner. This prisoner proved similarly personality-less, but offered no useful new information. After resting, the party set off3.
At the end of the long tunnel, the party found a huge, vibrantly blue wall of ice. It was clearly magical, and radiated intense cold. Undaunted, Antimony went up to the wall and knocked. A booming voice from the other side announced that the party would not be allowed entrance, for it could sense Moravians with them. When the party protested that the Moravians were merely prisoners, the voice stated that they must kill their prisoners and formally denounce the Moravian Empire4. The party readily complied. At this, the wall shattered, and a towering white5 dragon declared that the party was now its prisoner.
Show up this week to get eaten by a dragon6!


The day we’ve all been waiting for, today we board the Robert C. Seamans!
After boarding the ship, I moved my stuff to my bunk then walked around and looked at different areas of the ship. Gotta make the most of arriving early - it’s going to get pretty crowded here soon.
For storage, we each get one cubby for stuff, one drawer for shoes, and everything that doesn’t fit in those two places goes in the bunk. The cubby is only around a cubic foot and a half in size, so my backpack and duffel definitely didn’t fit inside it. Guess where it is - it’s next to me in my bunk. I don’t have a really large frame though, so it works out alright.
After everything was put away, I walked around the ship and snapped some photos.
A handful of us who arrived a bit earlier got to stand on the head rigging and attach a cover to the jib. How’s that for some day 1 activity?
We’ll be around Auckland for the next few days to learn more about the ship and the city before getting underway, so stay tuned for that!


For questions, or guidance on complying with this new law, please contact the Alameda County District Attorney's Human Exploitation and Trafficking (H.E.A.T.) Watch Program at<EMAIL_ADDRESS>To participate and be notified of future Community Days of Action, sign up on our email list.


WAYNE'S WORLD A film review by Jim Kung Copyright 1992 Jim Kung
Director : Penelope Spheeris (Decline of Western Civilization II - The : Metal Years, Dudes, & Suburbia)
Cast : Mike Myers (Wayne Campbell), Dana Carvey (Garth Algar), : Rob Lowe (Benjamin Oliver), Tia Carrere (Cassandra)
Summary : Wayne and Garth have a public access show called "Wayne's : World." The show is a underground hit, until Benjamin : Oliver comes onto the scene. Benjamin wants to turn the : show into a big hit nationwide, possibly destroying the : essence of "Wayne's World" in the process.
Scoring : Story 8/10 : Acting 6/10 : Direction 6/10 : Overall 7/10 [Expectations - Medium]
Long Review ===========
I must admit being a bit reluctant going into this film. I didn't believe that they (Mike Myers and Dana Carvey) could hold it up for an hour and a half, I figured that perhaps the first half-hour would be great, and the rest would be "fluff." However, I was really surprised about how well they were able to keep the laughs going for the virtually the whole film, with the exception of the ending. (Which I won't discuss for obvious reasons, but it's not *that* bad.)
Story: The plot was quite thin, but it really wasn't that noticeable, because of the rapid-fire jokes that Myers wrote in. Alot of the jokes are very similar to Hot Shots!, in being very "parodyish." (Okay, bad term.) Extremely witty throughout, although (as in HOT SHOTS) it got a bit repetitive in the middle.
Acting: As in many comedies, the acting isn't really *that* important. However, Myers turns in a good performance as Wayne, playing the character perfectly, (Although I still liked him better back on MUCH MUSIC, in a more "Canadian" type of mode.) Carvey is okay as Garth, but he lacks the spark Myers puts into Wayne. Tia Carrere is mediocre as Cassandra, playing it very stilted. Lowe is fine as Ben Oliver, but is nothing to write home about. Without a doubt, this movie is Mike Myers all the way.
Direction: Spheeris is a classic "music" movie director, making DUDES, and DECLINE OF WESTERN CIVILIZATION II -- THE METAL YEARS. (She also directed THE BOYS NEXT DOOR, which is different, to say the least.) She is very capable, knows how direct a comedy, the correct camera movements it instill laughs, etc. One of the better jobs I can remember for a comedy.
Overall: I would suggest to anyone that likes SNL's skits to go see this film in the theatres. However, my personal opinion, as in most comedies, is that they work just as well on video. You definately have to be fan of music, and all forms of media in general to enjoy this film. Without a doubt, this is the best comedy so far this year. It'll make tons 'o' dough for everyone involved. Let's just hope they make a thousand sequels.
NOT.
[Sorry, I had to get the lame joke in... Forgive me.]
<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


--- layout: post title: "The Identity functor" description: "The Identity functor is a data container that doesn't do anything. It's a functor nonetheless. An article for object-oriented programmers." date: 2018-09-03 6:46 UTC tags: [Software Design] --- {% include JB/setup %}
{{ page.description }}
This article is an instalment in an article series about functors. In previous articles, you've learned about useful functors such as Maybe. In this article, you'll learn about a (practically) useless functor called Identity. You can skip this article if you want.
If Identity is useless, then why bother?
The inutility of Identity doesn't mean that it doesn't exist. The Identity functor exists, whether it's useful or not. You can ignore it, but it still exists. In C# or F# I've never had any use for it (although I've described it before), while it turns out to be occasionally useful in Haskell, where it's built-in. The value of Identity is language-dependent.
You may still derive value from this article. My motivation for writing it is to add another example to the set of functor examples presented in this article series. By presenting a varied selection of functors, it's my hope that you, from examples, gain insight.
You can implement Identity as a C# class:
public sealed class Identity<T> { public Identity(T item) { Item = item; } public T Item { get; } public Identity<TResult> Select<TResult>(Func<T, TResult> selector) { return new Identity<TResult>(selector(Item)); } public override bool Equals(object obj) { if (!(obj is Identity<T> other)) return false; return Equals(Item, other.Item); } public override int GetHashCode() { return Item?.GetHashCode() ?? 0; } }
This class is just a wrapper around any object of the generic type T
. The value could even be null
if T
is a reference type.
Since Identity<T>
exposes the Select
instance method, you can translate wrapped values, as this C# Interactive example demonstrates:
> new Identity<string>("foo").Select(s => s.Length) Identity<int> { Item=3 }
You can also, if you prefer, use query syntax:
> from i in new Identity<int>(2) select 'f' + new String('o', i) Identity<string> { Item="foo" }
You can also unwrap the value:
> Identity<string> x = new Identity<string>("bar"); > x.Item "bar"
Admittedly, this isn't the most exciting or useful class you could ever write. It is, however, a functor.
The Select
method obeys the first functor law. As usual in this article series, actually proving that this is the case belongs in the realm of computer science. I would guess, however, that in this particular case, the proof would be manageable. Instead of proving this, though, you can demonstrate that the law holds using property-based testing. The following example shows a single property written with FsCheck 2.11.0 and xUnit.net 2.4.0.
[Property(QuietOnSuccess = true)] public void IdentityObeysFirstFunctorLaw(int i) { var left = new Identity<int>(i); var right = new Identity<int>(i).Select(x => x); Assert.Equal(left, right); }
Even though you may feel that a property-based test gives you more confidence than a few hard-coded examples, such a test is nothing but a demonstration of the first functor law. It's no proof, and it only demonstrates that the law holds for Identity<int>
, not that it holds for Identity<string>
, Identity<Customer>
, etcetera.
As is the case with the first functor law, you can also use a property to demonstrate that the second functor law holds:
[Property(QuietOnSuccess = true)] public void IdentityObeysSecondFunctorLaw( Func<string, byte> f, Func<int, string> g, int i) { var left = new Identity<int>(i).Select(g).Select(f); var right = new Identity<int>(i).Select(x => f(g(x))); Assert.Equal(left, right); }
Again the same admonitions apply: that property is no proof. It does show, however, that given two functions, f
and g
, it doesn't matter if you map an Identity
object in one or two steps. The output is the same in both cases.
While the Identity
functor is built into the Haskell standard library, there's no Identity functor in F#. While it can be occasionally useful in Haskell, Identity is useless in F#, like it is in C#. Again, that doesn't imply that you can't define it. You can:
type Identity<'a> = Identity of 'a module Identity = // Identity<'a> -> 'a let get (Identity x) = x // ('a -> 'b) -> Identity<'a> -> Identity<'b> let map f (Identity x) = Identity (f x)
With this type, you can wrap, map, and unwrap values to your heart's content:
> Identity "foo" |> Identity.map Seq.length;; val it : Identity<int> = Identity 3 > Identity 2 |> Identity.map (fun i -> "f" + String ('o', i));; val it : Identity>string> = Identity "foo" > let x = Identity "bar";; val x : Identity<string> = Identity "bar" > Identity.get x;; val it : string = "bar"
There's not much point to this, apart from demonstrating that it's possible.
The Identity functor exists, and you can implement it in C# and F#, although I don't see any use for it. Haskell has a type system that can express abstractions such as Functor
in the type system itself. In that language, then, you can define functions that return any type of functor (e.g. Maybe
, Tree
, and so on). If you need a plain vanilla version of such a function, you can make it return Identity
.
The point of this article was only to identify the existence of the Identity functor, and to perhaps illustrate that the concept of a functor encompasses various data structures and behaviours.
Next: The Lazy functor.


| run {processx} | R Documentation |
run
provides an interface similar to base::system()
and
base::system2()
, but based on the process class. This allows some
extra features, see below.
run( command = NULL, args = character(), error_on_status = TRUE, wd = NULL, echo_cmd = FALSE, echo = FALSE, spinner = FALSE, timeout = Inf, stdout = "|", stderr = "|", stdout_line_callback = NULL, stdout_callback = NULL, stderr_line_callback = NULL, stderr_callback = NULL, stderr_to_stdout = FALSE, env = NULL, windows_verbatim_args = FALSE, windows_hide_window = FALSE, encoding = "", cleanup_tree = FALSE, ... )
command |
Character scalar, the command to run. |
args |
Character vector, arguments to the command. |
error_on_status |
Whether to throw an error if the command returns
with a non-zero status, or it is interrupted. The error classes are
|
wd |
Working directory of the process. If |
echo_cmd |
Whether to print the command to run to the screen. |
echo |
Whether to print the standard output and error to the screen. Note that the order of the standard output and error lines are not necessarily correct, as standard output is typically buffered. If the standard output and/or error is redirected to a file or they are ignored, then they also not echoed. |
spinner |
Whether to show a reassuring spinner while the process is running. |
timeout |
Timeout for the process, in seconds, or as a |
stdout |
What to do with the standard output. By default it
is collected in the result, and you can also use the
|
stderr |
What to do with the standard error. By default it
is collected in the result, and you can also use the
|
stdout_line_callback |
|
stdout_callback |
|
stderr_line_callback |
|
stderr_callback |
|
stderr_to_stdout |
Whether to redirect the standard error to the
standard output. Specifying |
env |
Environment variables of the child process. If |
windows_verbatim_args |
Whether to omit the escaping of the command and the arguments on windows. Ignored on other platforms. |
windows_hide_window |
Whether to hide the window of the application on windows. Ignored on other platforms. |
encoding |
The encoding to assume for |
cleanup_tree |
Whether to clean up the child process tree after the process has finished. |
... |
Extra arguments are passed to |
run
supports
Specifying a timeout for the command. If the specified time has passed, and the process is still running, it will be killed (with all its child processes).
Calling a callback function for each line or each chunk of the standard output and/or error. A chunk may contain multiple lines, and can be as short as a single character.
Cleaning up the subprocess, or the whole process tree, before exiting.
A list with components:
status The exit status of the process. If this is NA
, then the
process was killed and had no exit status.
stdout The standard output of the command, in a character scalar.
stderr The standard error of the command, in a character scalar.
timeout Whether the process was killed because of a timeout.
Some notes about the callback functions. The first argument of a
callback function is a character scalar (length 1 character), a single
output or error line. The second argument is always the process
object. You can manipulate this object, for example you can call
$kill()
on it to terminate it, as a response to a message on the
standard output or error.
run()
throws error condition objects if the process is interrupted,
timeouts or fails (if error_on_status
is TRUE
):
On interrupt, a condition with classes system_command_interrupt
,
interrupt
, condition
is signalled. This can be caught with
tryCatch(..., interrupt = ...)
.
On timeout, a condition with classes system_command_timeout_error
,
system_command_error
, error
, condition
is thrown.
On error (if error_on_status
is TRUE
), an error with classes
system_command_status_error
, system_command_error
, error
,
condition
is thrown.
All of these conditions have the fields:
message
: the error message,
stderr
: the standard error of the process, or the standard output
of the process if stderr_to_stdout
was TRUE
.
call
: the captured call to run()
.
echo
: the value of the echo
argument.
stderr_to_stdout
: the value of the stderr_to_stdout
argument.
status
: the exit status for system_command_status_error
errors.
# This works on Unix systems run("ls") system.time(run("sleep", "10", timeout = 1, error_on_status = FALSE)) system.time( run( "sh", c("-c", "for i in 1 2 3 4 5; do echo $i; sleep 1; done"), timeout = 2, error_on_status = FALSE ) ) # This works on Windows systems, if the ping command is available run("ping", c("-n", "1", "<IP_ADDRESS>")) run("ping", c("-n", "6", "<IP_ADDRESS>"), timeout = 1, error_on_status = FALSE)