Package net.skweezee.processing
Class Skweezee
- Object
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- Skweezee
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public class Skweezee extends Object
The Skweezee class connects physical and digital components of a Skweezee. The library connects to the Arduino microcontroller (with or without Skweezee shield) and to the Processing environment. It senses physical form over time (deformation) and offers data processing methods. The retrieved raw data is pre-processed (scaled, split) and represented as a continuously updated vector. Now, the deformation data can be processed for feature extraction based on standard vector analysis (for example vector magnitude as measure for amplitude or a dot product for form recognition) as well as analysis of historical data (such as a moving average for smoothing or moving standard deviation for signal stability). Basic calculus offers ways to nuance Skweezee signals (for example, a square root emphasizes small deformations, where a square emphasizes big deformations). This class connects an Arduino to the Processing environment, reads its data, performs data processing: pre-processing (scaling, splitting), vector analysis (magnitude, direction, dot product), statistical analysis of historical data (moving average, moving standard deviation), and form recognition. As this class implements the singleton design pattern, its instance can be accessed directly from the parent Processing Sketch. Check the examples to explore its possibilities. More info: skweezee.net- Author:
- Bert Vandenberghe @ eMedia Research Lab, KU Leuven
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Field Summary
Fields Modifier and Type Field Description static String[]
LABELS
Labels of values in a measurement and components of its corresponding vector, which can be used to identify a single value or vector component.static int[][]
SUBVECTOR_MAP
Indices of values in a measurement per electrode, which can be used to retrieve information per electrode.static String
VERSION
Version
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static float
avg()
Momentary moving average of vector magnitude.static float
avg(int e)
Momentary moving average of the magnitude of the subvector corresponding with the specified electrode.static void
connect(PApplet parent)
Connects Skweezee instance to parent Processing sketch and USB (Arduino).static void
connect(PApplet parent, int port)
Connects Skweezee instance to parent Processing sketch and USB (Arduino).static float
diff()
Momentary differentiation (first derivative) of vector magnitude.static float
diff(int e)
Momentary differentiation (first derivative) of the magnitude of the subvector corresponding with the specified electrode.static int
dim()
Skweezee dimension meaning the number of values In a correct functioning Skweezee, this value should not change during runtime—in case the physical components stay unchanged.static float[]
dir()
Momentary vector direction, considering the measured deformation as multidimensional vector (taking the measured values in one cycle as vector components).static float[]
dir(int e)
Momentary direction of the subvector corresponding with the specified electrode, considering the measured deformation as multidimensional vector (taking the measured values in one cycle as vector components).void
dispose()
Hook with the parent Processing sketch.void
draw()
Hook with the parent Processing sketch.static List<Form>
forms()
Returns set of recorded Skweezee forms, but labeled and unlabeled.static float
inv()
Inverse, normalized, moving average of the momentary vector magnitude.static float
inv(int e)
Inverse, normalized, moving average of the momentary magnitude of the subvector corresponding with the specified electrode.static float
mag()
Momentary vector magnitude, considering the measured deformation as multidimensional vector (taking the measured values in one cycle as vector components).static float
mag(int e)
Momentary magnitude of the subvector corresponding with the specified electrode, considering the measured deformation as multidimensional vector (taking the measured values in one cycle as vector components).static float
max()
Maximum observed momentary vector magnitude.static float
max(int e)
Maximum observed momentary magnitude of the subvector corresponding with the specified electrode.static float
norm()
Normalized, moving average of the momentary vector magnitude.static float
norm(int e)
Normalized, moving average of the momentary magnitude of the subvector corresponding with the specified electrode.static int[]
raw()
Raw values as measured by the Arduino in one cycle.static int[]
raw(int e)
Subset of raw values as measured by the Arduino in one cycle, related to the specified electrode.static void
rcd()
Record: stores the momentary form (taking the vector direction as sample) unlabeled, can be used in combination with the recognition function (rcg).static void
rcd(String f)
Record: stores the momentary form (taking the vector direction as sample) with specified label, can be used in combination with the recognition function (rcg).static float
rcg()
Recognize function: compares the current and recorded unlabeled form, to be used in combination with the record function.static float
rcg(String f)
Recognize function: compares the current and recorded form with specified label), to be used in combination with the record function.static float
root()
Square root of the normalized, moving average of the momentary vector magnitude.static float
root(int e)
Square root of the normalized, moving average of the momentary magnitude of the subvector corresponding with the specified electrode.static float
square()
Squared, normalized, moving average of the momentary vector magnitude.static float
square(int e)
Squared, normalized, moving average of the momentary magnitude of the subvector corresponding with the specified electrode.static float
stdev()
Momentary moving standard deviation of vector magnitude.static float
stdev(int e)
Momentary moving standard deviation of the magnitude of the subvector corresponding with the specified electrode.static float[]
vector()
Sensed deformation presented as a multidimensional vector.static float[]
vector(int e)
Sensed deformation related to the specified electrode, presented as a multidimensional vector.
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Field Detail
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VERSION
public static final String VERSION
Version- See Also:
- Constant Field Values
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LABELS
public static final String[] LABELS
Labels of values in a measurement and components of its corresponding vector, which can be used to identify a single value or vector component. This map is only relevant when using the Skweezee shield for Arduino. LABELS contains 28 labels (Strings) of the values at the corresponding position in a measurement or components of the corresponding vector. For example the eleventh value in a measurement originates from the pair labeled by LABELS[11] ("1-6").
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SUBVECTOR_MAP
public static final int[][] SUBVECTOR_MAP
Indices of values in a measurement per electrode, which can be used to retrieve information per electrode. This map is only relevant when using the Skweezee shield for Arduino. SUBVECTOR_MAP[0] contains all indices of values in a measurement involving the first electrode 0, so pointing to the measured values {index_of_0-1, index_of_0-2, ..., index_of_0-7}. SUBVECTOR_MAP contains 8x7 indices from 0 to 27. Note that accessing the values in this way introduces a duplication of data. Each value can be accessed twice: for example SUBVECTOR_MAP[3][4] and SUBVECTOR_MAP[5][3] contain the index of the same value (the index of pair {3-5}: 20)
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Method Detail
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connect
public static void connect(PApplet parent)
Connects Skweezee instance to parent Processing sketch and USB (Arduino). NOTE: this implementation looks for the right serial port automatically, this works on Mac only. On Windows (or for manual connection, use connect(PApplet parent, int port)). Call this method in Processing withSkweezee.connect(this)
- Parameters:
parent
- Processing sketch (‘this’ in Processing).- See Also:
connect(processing.core.PApplet,int)
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connect
public static void connect(PApplet parent, int port)
Connects Skweezee instance to parent Processing sketch and USB (Arduino). Note that this implementation looks for the right serial port automatically, this works on Mac only. On Windows (or for manual connection, use connect(PApplet parent, int port)). Call this method in Processing withSkweezee.connect(this)
- Parameters:
parent
- Parent processing sketch (‘this’ in Processing).port
- Serial port.- See Also:
connect(processing.core.PApplet)
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draw
public void draw()
Hook with the parent Processing sketch. This method is called at the beginning of every draw cycle of the sketch, meaning it can affect drawing. Skweezee senses the deformation, computes its corresponding vector representation and performs basic analysis (meaning the minimum set of features that is required to be updated every cycle), and stores a sliding window of the squeeze vector. Further analysis is performed on request through the corresponding methods.
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dispose
public void dispose()
Hook with the parent Processing sketch. This method is called when the parent sketch is shutting down.
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dim
public static int dim()
Skweezee dimension meaning the number of values In a correct functioning Skweezee, this value should not change during runtime—in case the physical components stay unchanged.- Returns:
- dimension
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raw
public static int[] raw()
Raw values as measured by the Arduino in one cycle. For each of the existing pairs of electrodes, the electrical resistance between the elecrodes is measured and represented by a number in the range 0–255. These values are grouped per cycle (one cycle meaning the measurement of all unique electrode pairs). Note that a bigger value means a bigger measured voltage, as a result of a bigger electrical resistance (this inverse is caused by the voltage divider). A bigger electrical resistance means a larger distance, and thus a smaller deformation. In short, large number = small deformation. The raw method returns the momentary measured values. It is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.
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raw
public static int[] raw(int e)
Subset of raw values as measured by the Arduino in one cycle, related to the specified electrode. The subset contains the measured electrical resistance from the specified electrode to all other electrodes. This electrical resistance is represented by a number in the range 0–255. These values are grouped per cycle (one cycle meaning the measurement of all unique electrode pairs). Note that a bigger value means a bigger measured voltage, as a result of a bigger electrical resistance (this inverse is caused by the voltage divider). A bigger electrical resistance means a larger distance, and thus a smaller deformation. In short, large number = small deformation. The raw method returns the momentary measured values. It is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.- Parameters:
e
- electrode- Returns:
- momentary raw measurement
- See Also:
raw()
,dim()
,vector(int)
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vector
public static float[] vector()
Sensed deformation presented as a multidimensional vector. The vector is constructed from the pre-processed raw measurement. All values are scaled to a range 0–1 and reversed. Each vector component represents the measured voltage (thus electrical resistance, thus distance, thus deformation). Note that a bigger value means a bigger deformation. A bigger value is derived from a smaller measured voltage, as a result of a bigger electrical resistance (this inverse is caused by the voltage divider). A bigger electrical resistance means a larger distance, and thus a smaller deformation. In short, large number = small deformation. The vector method returns the momentary data. It is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.- Returns:
- momentary vector
- See Also:
vector(int)
,raw()
,mag()
,dir()
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vector
public static float[] vector(int e)
Sensed deformation related to the specified electrode, presented as a multidimensional vector. The subvector is constructed from the pre-processed raw measurement. All values are scaled to a range 0–1 and reversed. Each vector component represents the measured voltage (thus electrical resistance, thus distance, thus deformation). Note that a bigger value means a bigger deformation. A bigger value is derived from a smaller measured voltage, as a result of a bigger electrical resistance (this inverse is caused by the voltage divider). A bigger electrical resistance means a larger distance, and thus a smaller deformation. In short, large number = small deformation. The vector method returns the momentary data. It is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.
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mag
public static float mag()
Momentary vector magnitude, considering the measured deformation as multidimensional vector (taking the measured values in one cycle as vector components). Note that the vector magnitude represents the length of the vector. The magnitude of the vector can be used to quantify the deformation in a single number, representing a measure of deformation for example deformation 'amplitude', 'depth', or 'intensity'. As the magnitude method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.
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mag
public static float mag(int e)
Momentary magnitude of the subvector corresponding with the specified electrode, considering the measured deformation as multidimensional vector (taking the measured values in one cycle as vector components). Note that the vector magnitude represents the length of the vector. The magnitude of the vector can be used to quantify the deformation in a single number, representing a measure of deformation for example deformation 'amplitude', 'depth', or 'intensity'. As the magnitude method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.- Parameters:
e
- electrode- Returns:
- momentary magnitude (vector length)
- See Also:
mag()
,vector(int)
,dir(int)
,max(int)
,avg(int)
,stdev(int)
,diff(int)
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dir
public static float[] dir()
Momentary vector direction, considering the measured deformation as multidimensional vector (taking the measured values in one cycle as vector components). Note that the vector direction (or unit vector) has a magnitude of '1'. The direction of the vector can for example be used for form recognition. As the direction method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.
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dir
public static float[] dir(int e)
Momentary direction of the subvector corresponding with the specified electrode, considering the measured deformation as multidimensional vector (taking the measured values in one cycle as vector components). Note that the vector direction (or unit vector) has a magnitude of '1'. The direction of the vector can for example be used for form recognition. As the direction method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.- Parameters:
e
- electrode- Returns:
- momentary direction (unit vector)
- See Also:
dir()
,vector(int)
,mag(int)
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max
public static float max()
Maximum observed momentary vector magnitude. This feature thus offers a continuous signal of the maximum observed value up until that moment. This signal is useful for data normalization or feature scaling (map a signal from the range 0–MAX to the range 0–1). As the max method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.
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max
public static float max(int e)
Maximum observed momentary magnitude of the subvector corresponding with the specified electrode. This feature thus offers a continuous signal of the maximum observed value up until that moment. This signal is useful for data normalization or feature scaling (map a signal from the range 0–MAX to the range 0–1). As the max method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.
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avg
public static float avg()
Momentary moving average of vector magnitude. This feature thus offers a continuous signal of the moving average, a smoothed signal. As the average method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.
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avg
public static float avg(int e)
Momentary moving average of the magnitude of the subvector corresponding with the specified electrode. This feature thus offers a continuous signal of the moving average, a smoothed signal. As the average method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.
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stdev
public static float stdev()
Momentary moving standard deviation of vector magnitude. This feature thus offers a continuous signal of the moving standard deviation. As the standard deviation method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.- Returns:
- momentary moving standard deviation
- See Also:
stdev(int)
,mag()
,max()
,avg()
,diff()
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stdev
public static float stdev(int e)
Momentary moving standard deviation of the magnitude of the subvector corresponding with the specified electrode. This feature thus offers a continuous signal of the moving standard deviation. As the standard deviation method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.
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diff
public static float diff()
Momentary differentiation (first derivative) of vector magnitude. This feature thus offers a continuous signal of the rate of change. Its value can be interpreted as the speed of change, while its sign carries meaning regarding the direction of change (becoming smaller or bigger). As the diff method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.
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diff
public static float diff(int e)
Momentary differentiation (first derivative) of the magnitude of the subvector corresponding with the specified electrode. This feature thus offers a continuous signal of the rate of change. Its value can be interpreted as the speed of change, while its sign carries meaning regarding the direction of change (becoming smaller or bigger). As the diff method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.- Returns:
- momentary moving average
- See Also:
diff()
,mag(int)
,max(int)
,avg(int)
,stdev(int)
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norm
public static float norm()
Normalized, moving average of the momentary vector magnitude. This feature thus offers a continuous, smoothed signal with values in the range 0–1. Normalization scales the momentary moving average within the known range of values, meaning the normalized value brings the range of values 0–1. This range refers to the absolute values 0–MAX. As the norm method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.
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norm
public static float norm(int e)
Normalized, moving average of the momentary magnitude of the subvector corresponding with the specified electrode. This feature thus offers a continuous, smoothed signal with values in the range 0–1. Normalization scales the momentary moving average within the known range of values, meaning the normalized value brings the range of values 0–1. This range refers to the absolute values 0–MAX. As the norm method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.
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inv
public static float inv()
Inverse, normalized, moving average of the momentary vector magnitude. This feature thus offers a continuous, smoothed signal with values in the range 0–1. As the inverse method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.
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inv
public static float inv(int e)
Inverse, normalized, moving average of the momentary magnitude of the subvector corresponding with the specified electrode. This feature thus offers a continuous, smoothed signal with values in the range 0–1. As the inverse method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.- Parameters:
e
- electrode- Returns:
- momentary inverse
- See Also:
inv()
,norm(int)
,square(int)
,root(int)
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square
public static float square()
Squared, normalized, moving average of the momentary vector magnitude. This feature thus offers a continuous, smoothed signal with values in the range 0–1. Squaring emphasizes big numbers, meaning that this feature can be used for coupling that allows nuance of strong deformations. As the square method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.- Returns:
- momentary square
- See Also:
square(int)
,norm()
,inv()
,root()
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square
public static float square(int e)
Squared, normalized, moving average of the momentary magnitude of the subvector corresponding with the specified electrode. This feature thus offers a continuous, smoothed signal with values in the range 0–1. Squaring emphasizes big numbers, meaning that this feature can be used for coupling that allows nuance of strong deformations. As the square method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.
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root
public static float root()
Square root of the normalized, moving average of the momentary vector magnitude. This feature thus offers a continuous, smoothed signal with values in the range 0–1. The square root emphasizes small numbers, meaning that this feature can be used for coupling that allows nuance of light deformations. As the root method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.
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root
public static float root(int e)
Square root of the normalized, moving average of the momentary magnitude of the subvector corresponding with the specified electrode. This feature thus offers a continuous, smoothed signal with values in the range 0–1. The square root emphasizes small numbers, meaning that this feature can be used for coupling that allows nuance of light deformations. As the root method is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.- Parameters:
e
- electrode- Returns:
- momentary square root
- See Also:
root()
,norm(int)
,inv(int)
,square(int)
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rcd
public static void rcd()
Record: stores the momentary form (taking the vector direction as sample) unlabeled, can be used in combination with the recognition function (rcg). Note that the unlabeled form equals the label "", as recorded through rcd(""). If rcd() and/or rcd("") are called consecutively or repeatedly, the same form will be overwritten, meaning the most recent call will define the actual direction sample. As the record function stores a sample or snapshot of the momentary vector, it is recommended to avoid calling this method continuously in order to avoid undesired overwrites. Calling this method outside draw() function of the parent Processing sketch, will prevent this (mostly) undesired behavior as the draw() function is executed continuously.- See Also:
record(String)
,dir()
,recog()
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rcd
public static void rcd(String f)
Record: stores the momentary form (taking the vector direction as sample) with specified label, can be used in combination with the recognition function (rcg). Note that repeated calls with the same argument will overwrite preceding calls, meaning the most recent call will define the actual direction sample. Note that the label "" equals the unlabeled form, as recorded through rcd(). If rcd() and/or rcd("") are called consecutively or repeatedly, the same form will be overwritten, meaning the most recent call will define the actual direction sample. As the record function stores a sample or snapshot of the momentary vector, it is recommended to avoid calling this method continuously in order to avoid undesired overwrites. Calling this method outside draw() function of the parent Processing sketch, will prevent this (mostly) undesired behavior as the draw() function is executed continuously.- Parameters:
form
- label- See Also:
record()
,dir()
,recog(String)
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forms
public static List<Form> forms()
Returns set of recorded Skweezee forms, but labeled and unlabeled. The resulting List contains Form objects.- Returns:
- List of Form objects
- See Also:
record()
,dir()
,record(String)
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rcg
public static float rcg()
Recognize function: compares the current and recorded unlabeled form, to be used in combination with the record function. Using the dot product between the two directions. The resulting number, range 0–1, represents the match. As the recognize function is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.- Returns:
- momentary match between the current and recorded form
- See Also:
record()
,dir()
,recog(String)
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rcg
public static float rcg(String f)
Recognize function: compares the current and recorded form with specified label), to be used in combination with the record function. Using the dot product between the two directions. The resulting number, range 0–1, represents the match. As the recognize function is based on the momentary vector, it is recommended to call this method continuously, for example in the draw() function of the parent Processing sketch, as this function is executed continuously. This implementation will result in a continuous signal.- Parameters:
form
- label- Returns:
- momentary match between current and recorded form
- See Also:
record(String)
,dir()
,recog()
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All Routes Begin From Entebbe Airport As Of Now.
Business Trip
Luxury Tour
Family Travel
Long Group Tour
Air Port Pickup
Group Trip


[1]
Driver setup rocked. NIce look and feel.; No complaints so far.
[2]
Better performance, UI, security, multi-touch; So many editions of Windows 7


Recipe 10.9. Building a Whitelist of Email Addresses From a Mailbox
Credit: Noah Spurrier
Problem
To help you configure
an antispam system, you want a list of email addresses, commonly
known as a whitelist, that you can trust
won't send you spam. The addresses to which you send
email are undoubtedly good candidates for this
whitelist.
Solution
Here is a script to output "To"
addresses given a mailbox path:
#!/usr/bin/env python
""" Extract and print all 'To:' addresses from a mailbox """
import mailbox
def main(mailbox_path):
addresses = { }
mb = mailbox.PortableUnixMailbox(file(mailbox_path))
for msg in mb:
toaddr = msg.getaddr('To')[1]
addresses[toaddr] = 1
addresses = addresses.keys( )
addresses.sort( )
for address in addresses:
print address
if _ _name_ _ == '_ _main_ _':
import sys
main(sys.argv[1])
Discussion
In addition to bypassing spam filters, identifying addresses of
people you've sent mail to may also help in other
ways, such as flagging emails from them as higher priority, depending
on your mail-reading habits and your mail reader's
capabilities. As long as your mail reader keeps mail you have sent in
some kind of "Sent Items" mailbox
in standard mailbox format, you can call this script with the path to
the mailbox as its only argument, and the addresses to which
you've sent mail will be emitted to standard output.
The script is simple because the Python Standard Library module
mailbox does all the hard work. All the script
needs to do is collect the set of email addresses as it loops through
all messages, then emit them. While collecting, we keep
addresses as a dictionary, since
that's much faster than keeping a list and checking
each toaddr in order to append it only if it
wasn't already in the list. When
we're done collecting, we just extract the addresses
from the dictionary as a list because we want to emit its items in
sorted order. In Python 2.4, function main can be
made even slightly more elegant, thanks to the new built-ins
set and sorted:
def main(mailbox_path):
addresses = set( )
mb = mailbox.PortableUnixMailbox(file(mailbox_path))
for msg in mb:
toaddr = msg.getaddr('To')[1]
addresses.add(toaddr)
for address in sorted(addresses):
print address
If your mailbox is not in the Unix mailbox style supported by
mailbox.PortableUnixMailbox, you may want to use
other classes supplied by the Python Standard Library module
mailbox. For example, if your mailbox is in Qmail
maildir format, you can use the
mailbox.Maildir class to read it.
See Also
Documentation of the standard library module
mailbox in the Library
Reference and Python in a
Nutshell.
|


Blantyre woman stabbed her partner
The accused phoned the police and confessed to what she had done.
by Hamilton Advertiser, https://www.dailyrecord.co.uk/authors/hamilton-advertiser/A Blantyre woman stabbed her abusive partner then phoned the police and confessed what she’d done.
Lorraine Hatcher, 52, of Alpine Path, attacked Steven Roberts after a drinking session that went on into the early morning.
Hatcher appeared at Hamilton Sheriff Court on Friday and admitted stabbing her partner twice on the leg to his severe injury at her home on April 6.
Scott King, prosecuting, said the couple had been in an on-off relationship for two or three years.
There was a background of domestic abuse and Roberts had been convicted of offences against Hatcher.
Mr King told the court: “On April 5 the couple were drinking together. This went on until 7.30 the following morning and both were under the influence.
“There was then a heated argument and the accused took possession of a kitchen knife and stabbed Roberts twice on the left thigh.
“This caused cuts which were about an inch wide.
“The accused then dialled 101 and told police she stabbed ‘Stevie’ because he had tried to attack her.
“Officers arrived and found Hatcher agitated and upset. She told them repeatedly that she had stabbed her partner.
“Roberts was taken to Hairmyres Hospital where three staples were put in each wound.”
Sheriff Thomas Millar called for background reports and deferred sentence until December 16.
Hatcher had her bail continued.


 I am using rvm and I had to remove rake 10.0.3. So it works like this:
rvm use @global gem uninstall rake -v 10.0.3
rvm use @ gem uninstall rake -v 10.0.3
Don’t forget to go back to the ruby version you used before with
rvm use 1.6.7
or similar …
Credits for this go to my fine colleague Enrico!
Cheers
Andy


Functions
word_limiter¶
Word Limiter
Limits a string to X number of words.
« More »
character_limiter¶
Character Limiter
Limits the string based on the character count. Preserves complete words
so the character count may not be exactly as specified.
« More »
ascii_to_entities¶
High ASCII to Entities
Converts High ascii text and MS Word special characters to character entities
« More »
entities_to_ascii¶
Entities to ASCII
Converts character entities back to ASCII
« More »
word_censor¶
Word Censoring Function
Supply a string and an array of disallowed words and any
matched words will be converted to #### or to the replacement
word you've submitted.
 Maintains the integrity of words.
Anything placed between {unwrap}{/unwrap} will not be word wrapped, nor
will URLs.
« More »
ellipsize¶
Ellipsize String
This function will strip tags from a string, split it at its max_length and ellipsize
« More »


Solutions for beginners computer scientists
MarkDown is a lenguage that allow give format at plain text using in platform as GitHub, Obsidian notes, etc. The great advantage of MarkDown is that it tries to achieve maximum readability and ease of publication both in its input and output form and allows you to create websites, documents, notes, books, presentations, emails and documentation.
In general, MarkDown it’s marvelous to begginer in CS that have interest in obtain text ordened and with big quality by way of simple and left the WYSIWG (What you see is what you get) paradigm that implements apps as Microsoft Word and Google docs.
MarkDown has grown since its launch in 2004 to acquire different functionalities although in the following article I will focus on the Basic syntax for a MarkDown programmer.
Fun Fact: This article was originally written using MarkDown in Obsidian.
.md
or .markdown
That’s all!
As always it is good to be hierarchical MarkDown allows you to divide the sections through up to 6 levels of headling. The syntax is simple you use the number of numerals (a.k.a hashtag) equal to the level you want followed by a space and you can write your headling !
# H1
## H2
### H3
#### h4
##### h5
###### h6
Fun fact: Levels 1 and 2 have an alternate syntax
Headling 1
=========
Headling 2
--------
To create paragraphs, all you have to know is that you must separate them by one or more lines.
Like I did here.
Also, if you are a romantic
What do you like to write in verse?
you can use smooth line break
represented by two spaces and an enter.
Markdown accepts HTML tags although this great
power brings great responsibility (as Uncle Ben said)
One of the first and most useful tags that you can use is the line break
<br>
No problem ;)
We all like to model and style certain words to give them more power and distinguish them from the rest. To achieve this huge distinction MarkDown allows two: bold and italic
In a very brief way so as not to tire you, dear reader. If you want bold you can do it in 2 ways:
**This is one**
__And this is the other__
Guess what … for italics there are also two ways: 0:
*This is one*
_And this is the other _
If you were wondering if you could use both at the same time, the answer is yes. There are 4, ( coff the combinations of the previous forms coff )
***You want***
___that I__
__ * write all * __
**_off them?_**
Note: Use the syntax that best suits you, there is no right or wrong. Go ahead! make the language you write your own.
In life we love to make little notes of everything like what we should buy in the supermarket, what tasks we should do first, what I still have to do. Obviously MarkDown put a fix for these sorted, messy lists and to-do lists.
1. Always it's good order thing
2. As intructions
3. ;)
- In other ocasions
- No matters the order
- You only wants structure
- [ ] Others times
- [ ] you want to know
- [ ] what's miss
Like do work this code
Please, don’t click it.
Finally, it is always good to have a monospaced
format that represents your code
and makes it look fancy.
We always have available to write a single word
or simple line with `giveExample()
`
Or you can write a block of lines of code with 6 of these beauties \ `
void giveExample () {
```
Your lines of code would go here;
```
}
| Element | MarkDown Syntax |
|---|---|
| Titles | # H1 ## H2 # # # H3 … |
| Bold | ** bold text ** |
| Italics | _ italic text _ |
| Ordered list | 1. First 2. Second … |
| Unordered list | - Something - Here - I wrote … |
| to-do list | - [] I’m missing this - [] and this. - [] … |
| Line of code | `Here is the code ` |
| Multiple lines of code | ``` Here is the code ``` |
This article is based heavily on the book The Markdown guide by Matt Cone and a little bit from Wikipedia, if you want to do more research on Markdown this is a great guide, plus markdownguide.com and this article.
-Elmer, part of the CSpedia team.


Goals
I have many goals I want to achieve in my life and on this webpage you will get to learn about most of the goals that I have!
Education
Right now I am doing everything I can to get as much education as possible about programming. After high school I plan on going to college to earn at least a bachelors degree if not higher in computer science.
Life
I plan on getting married and having kids when I get a little older. I also plan on owning my own house someday as well as have a great career.
Career
My career goal right now is to become some sort of a software engineer or developer. Computers have always fascinated me and I love to learn how they work and how I can get computers to do stuff for me.


"When it comes to winning advocacy battles, Karen B. Moore is the undisputed leader."
Julio Fuentes
President, Florida State Hispanic Chamber of Commerce
Behind the Red Door: Unlock Your Advocacy Influence and Success
Whether you run a small not-for-profit organization or are the VP of a corporation, this book will help you understand how advocacy can be an effective strategy to add to your toolbox and help you prepare an advocacy plan that moves your target audiences into meaningful action. Behind the Red Door walks you through a comprehensive look at advocacy including building an advocacy-plan framework, creating and utilizing a brand, building and mobilizing internal and external stakeholders, using social media, dealing with crisis communications, and finally, measuring results.
Start to harness the power of advocacy today!
Enjoy a complimentary chapter from my recent book, Behind the Red Door: Unlock Your Advocacy Influence and Success when you fill out the form. Begin to understand why advocacy is such a vital tool for your organization, regardless of your industry.


Package WooCommerce\Admin
Packages summary
Functions summary
| woocommerce_add_attribute | Add Attribute admin panel |
| woocommerce_add_shortcode_button | Add a button for shortcodes to the WP editor. |
| woocommerce_add_shortcode_tinymce_plugin | Add the shortcode button to TinyMCE |
| woocommerce_add_tinymce_lang | woocommerce_add_tinymce_lang function. |
| woocommerce_admin_comment_types_dropdown | Post updated messages |
| woocommerce_admin_css | Queue WooCommerce CSS. |
| woocommerce_admin_custom_menu_order | woocommerce_admin_custom_menu_order function. |
| woocommerce_admin_head | Admin Head |
| woocommerce_admin_help_tab | Include and add help tabs to WordPress admin. |
| woocommerce_admin_help_tab_content | Help Tab Content |
| woocommerce_admin_init | Include some admin files conditonally. |
| woocommerce_admin_install_notices | woocommerce_admin_install_notices function. |
| woocommerce_admin_menu | Setup the Admin menu in WordPress |
| woocommerce_admin_menu_after | Setup the Admin menu in WordPress - later priority so they appear last |
| woocommerce_admin_menu_highlight | Highlights the correct top level admin menu item for post type add screens. |
| woocommerce_admin_menu_order | Reorder the WC menu items in admin. |
| woocommerce_admin_menu_styles | Queue admin menu icons CSS. |
| woocommerce_admin_notices_styles | woocommerce_admin_notices_styles function. |
| woocommerce_admin_scripts | Include admin scripts and styles. |
| woocommerce_attributes | Attributes admin panel |
| woocommerce_attributes_page | Include and display the attibutes page. |
| woocommerce_bulk_admin_footer | Add extra bulk action options to mark orders as complete or processing |
| woocommerce_check_download_folder_protection | Checks which method we're using to serve downloads |
| woocommerce_compile_less_styles | Generate CSS from the less file when changing colours. |
| woocommerce_create_term | Order term when created (put in position 0). |
| woocommerce_delete_post | Removes variations etc belonging to a deleted post, and clears transients |
| woocommerce_delete_term | When a term is deleted, delete its meta. |
| woocommerce_downloads_upload_dir | Filter the directory for uploads. |
| woocommerce_duplicate_product_action | Duplicate a product action |
| woocommerce_edit_attribute | Edit Attribute admin panel |
| woocommerce_media_upload_downloadable_product | Run a filter when uploading a downloadable product. |
| woocommerce_ms_protect_download_rewite_rules | Protect downlodas from ms-files.php in multisite |
| woocommerce_order_bulk_action | Process the new bulk actions for changing order status |
| woocommerce_order_bulk_admin_notices | Show confirmation message that order status changed for number of orders |
| woocommerce_permalink_settings | woocommerce_permalink_settings function. |
| woocommerce_permalink_settings_init | woocommerce_permalink_settings_init function. |
| woocommerce_permalink_settings_save | woocommerce_permalink_settings_save function. |
| woocommerce_prevent_admin_access | Prevent non-admin access to backend |
| woocommerce_preview_emails | Preview Emails in WP admin |
| woocommerce_product_attribute_slug_input | woocommerce_product_attribute_slug_input function. |
| woocommerce_product_category_slug_input | woocommerce_product_category_slug_input function. |
| woocommerce_product_tag_slug_input | woocommerce_product_tag_slug_input function. |
| woocommerce_product_updated_messages | Post updated messages |
| woocommerce_refresh_mce | Force TinyMCE to refresh. |
| woocommerce_register_shortcode_button | Register the shortcode button. |
| woocommerce_reports_page | Include and display the reports page. |
| woocommerce_settings_page | Include and display the settings page. |
| woocommerce_settings_page_init | Loads gateways and shipping methods into memory for use within settings. |
| woocommerce_status_page | Include and display the status page. |
| woocommerce_theme_check_notice | woocommerce_theme_check_notice function. |
| woocommerce_trash_post | woocommerce_trash_post function. |
| woocommerce_untrash_post | woocommerce_untrash_post function. |


Browse or drop files
Fit continuous - early burst
tree: (none)
table: (none)
Load data to proceed
Go!


Organization, time management, and content creation
Design website structure and functionality
Map design and implementation
Research and compile healthcare provider data


ABCDEF - ABCDEF
You are given a set S of integers between -30000 and 30000 (inclusive).
Find the total number of sextuples that satisfy:
Input
The first line contains integer N (1 ≤ N ≤ 100), the size of a set S.
Elements of S are given in the next N lines, one integer per line. Given numbers will be distinct.
Output
Output the total number of plausible sextuples.
Examples
Input: 1 1 Output: 1 |
Input: 2 2 3 Output: 4 |
Input: 2 -1 1 Output: 24 |
Input: 3 5 7 10 Output: 10 |
hide comments
|
mr_non_beast12:
2021-08-18 08:30:10
this is something |
|
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yasser1110:
2021-07-22 13:34:35
Watch out for d != 0 condition. Gave me a WA in first attempt. |
|
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thegreatpd:
2021-07-06 14:10:30
As,n=100,O(n^4) solution should pass. But I'm getting tle. Why? |
|
|
jatin007:
2021-05-24 08:19:33
I've solved this problem for n^2 time complexity but its time limit should be increased for java. this problem is from 2009 so it might have same time limit for any language |
|
|
vasumath_1351:
2021-05-16 19:30:41
Instead of Python submit the same code in PyPy 2.7 i got accepted ;)
|
|
|
thelegend2710:
2021-02-19 08:56:29
How does this uses binary search?
|
|
|
kya_bantai:
2020-12-03 16:16:38
mappp |
|
|
kanishkverma_1:
2020-11-28 11:09:08
simple brute force with hashmap , handle the d == 0 case explicitly
|
|
|
lamda_cdm_10:
2020-11-20 17:22:16
AC in one go... A beautiful question, try solving the "4 SUM 0" problem first, and then try this one. Last edit: 2020-11-20 17:23:21 |
|
|
legion0retr0:
2020-08-16 15:54:22
Probably hashmap should also be a added as a tag |
| Added by: | Luka Kalinovcic |
| Date: | 2009-07-13 |
| Time limit: | 1s |
| Source limit: | 50000B |
| Memory limit: | 1536MB |
| Cluster: | Cube (Intel G860) |
| Languages: | All except: ERL JS-RHINO NODEJS PERL6 VB.NET |
| Resource: | own problem |


Go + Kubernetes
make docker_push; kubectl create -f app-srv-dpl.yaml
kubectl --replicas=3 -f app-srv-dpl.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: demo-api
labels:
app: demo-api
spec:
replicas: 3
strategy:
type: Recreate
selector:
matchLabels:
app: demo-api
template:
metadata:
labels:
app: demo-api
spec:
containers:
- name: app
image: wojciech11/api-status:1.0.0
ports:
- containerPort: 80
Service matches pods based on labels
apiVersion: v1
kind: Service
metadata:
name: demo-api
spec:
ports:
- port: 80
protocol: TCP
selector:
app: demo-api
type: LoadBalancer
| Name | Purpose | |
|---|---|---|
| Service | Interface | Entry point (Service Name) |
| Deployment | Factory | How many pods, which pods |
| Pod | Implementation | 1+ docker running |
https://github.com/wojciech12/talk_zero_downtime_deployment_with_kubernetes
Now JollyChic Indonesia


Rishi Kumar
Project Engineer
Professional Front-end Developer with more than two years of experience in software development process.
Having Leadership Qualities, Team spirit, Good interpersonal skills and efficient decision making
skills. Working with ownership of the module, Build preparation and deployment, use of DevOps and MS
CRM, working under Agile model of software development.
SKILLS
Angular
JavaScript
HTML
CSS
GIT
DevOps
Teamwork
INTERESTS
Cricket
Badminton
ACHIEVEMENTS
Round Of Applause
(10/2020)
Round Of Applause
(10/2020)
WORK EXPERIENCE
Project Engineer
Wipro Limited
06/2019 - Present
Tasks
Responsible for data binding and api calls along with flow controls of the "Order" module of
the project.
Have been involved in build preparation and its deployment on server just after two months
in the project.
Successfully able to complete the first & second release of the project with good response
from the customers.
Responsible for representation of application module under current project with different
teams for the Front-end perspective.
Implemented performance improvement of the application and removal of IRMC vulnerabilities
and SAST issues.
ORGANIZATIONS
Wipro Limited (06/2019 - Present)
PROJECTS
Project Quantum (10/2019 - Present)
Overall Project Quantum is an initiation from Wipro Digital for uniting all the sections of
an
organization like HR, Operations, Finance, General Sales etc. under one Application.
My track L2O (Lead to Order) initially dealt with General Sales Enablement(GSE) and Finance
department people as we first replaced their existing application.
Currently, we are working on the main functionality of integrating it with the individual
applications of other sections.
EDUCATION
Graduation (B.Tech)
Gandhi Institute of Engineering and Technology, Gunupur
08/2015 - 03/2019
Courses
Mechanical Engineering
Intermediate
DAV Public School, Patna
2013 - 2015


Much of Apache Hadoop’s functionality is controlled via the shell. There are several ways to modify the default behavior of how these commands execute.
Apache Hadoop has many environment variables that control various aspects of the software. (See hadoop-env.sh and related files.) Some of these environment variables are dedicated to helping end users manage their runtime.
This environment variable is used for all end-user, non-daemon operations. It can be used to set any Java options as well as any Apache Hadoop options via a system property definition. For example:
HADOOP_CLIENT_OPTS="-Xmx1g -Dhadoop.socks.server=localhost:4000" hadoop fs -ls /tmp
will increase the memory and send this command via a SOCKS proxy server.
NOTE: If ‘YARN_CLIENT_OPTS’ is defined, it will replace ‘HADOOP_CLIENT_OPTS’ when commands are run with ‘yarn’.
It is also possible to set options on a per subcommand basis. This allows for one to create special options for particular cases. The first part of the pattern is the command being used, but all uppercase. The second part of the command is the subcommand being used. Then finally followed by the string _OPT.
For example, to configure mapred distcp to use a 2GB heap, one would use:
MAPRED_DISTCP_OPTS="-Xmx2g"
These options will appear after HADOOP_CLIENT_OPTS during execution and will generally take precedence.
NOTE: Site-wide settings should be configured via a shellprofile entry and permanent user-wide settings should be configured via ${HOME}/.hadooprc using the hadoop_add_classpath function. See below for more information.
The Apache Hadoop scripts have the capability to inject more content into the classpath of the running command by setting this environment variable. It should be a colon delimited list of directories, files, or wildcard locations.
HADOOP_CLASSPATH=${HOME}/lib/myjars/*.jar hadoop classpath
A user can provides hints to the location of the paths via the HADOOP_USER_CLASSPATH_FIRST variable. Setting this to any value will tell the system to try and push these paths near the front.
If a user has a common set of settings, they can be put into the ${HOME}/.hadoop-env file. This file is always read to initialize and override any variables that the user may want to customize. It uses bash syntax, similar to the .bashrc file:
For example:
# # my custom Apache Hadoop settings! # HADOOP_CLIENT_OPTS="-Xmx1g" MAPRED_DISTCP_OPTS="-Xmx2g" HADOOP_DISTCP_OPTS="-Xmx2g"
The .hadoop-env file can also be used to extend functionality and teach Apache Hadoop new tricks. For example, to run hadoop commands accessing the server referenced in the environment variable ${HADOOP_SERVER}, the following in the .hadoop-env will do just that:
if [[ -n ${HADOOP_SERVER} ]]; then HADOOP_CONF_DIR=/etc/hadoop.${HADOOP_SERVER} fi
One word of warning: not all of Unix Shell API routines are available or work correctly in .hadoop-env. See below for more information on .hadooprc.
In addition to the various XML files, there are two key capabilities for administrators to configure Apache Hadoop when using the Unix Shell:
Many environment variables that impact how the system operates. This guide will only highlight some key ones. There is generally more information in the various *-env.sh files.
Supplement or do some platform-specific changes to the existing scripts. Apache Hadoop provides the capabilities to do function overrides so that the existing code base may be changed in place without all of that work. Replacing functions is covered later under the Shell API documentation.
By far, the most important are the series of _OPTS variables that control how daemons work. These variables should contain all of the relevant settings for those daemons.
Similar to the user commands above, all daemons will honor the (command)_(subcommand)_OPTS pattern. It is generally recommended that these be set in hadoop-env.sh to guarantee that the system will know which settings it should use on restart. Unlike user-facing subcommands, daemons will NOT honor HADOOP_CLIENT_OPTS.
In addition, daemons that run in an extra security mode also support (command)_(subcommand)_SECURE_EXTRA_OPTS. These options are supplemental to the generic *_OPTS and will appear after, therefore generally taking precedence.
Apache Hadoop provides a way to do a user check per-subcommand. While this method is easily circumvented and should not be considered a security-feature, it does provide a mechanism by which to prevent accidents. For example, setting HDFS_NAMENODE_USER=hdfs will make the hdfs namenode and hdfs --daemon start namenode commands verify that the user running the commands are the hdfs user by checking the USER environment variable. This also works for non-daemons. Setting HADOOP_DISTCP_USER=jane will verify that USER is set to jane before being allowed to execute the hadoop distcp command.
If a _USER environment variable exists and commands are run with a privilege (e.g., as root; see hadoop_privilege_check in the API documentation), execution will switch to the specified user first. For commands that support user account switching for security reasons and therefore have a SECURE_USER variable (see more below), the base _USER variable needs to be the user that is expected to be used to switch to the SECURE_USER account. For example:
HDFS_DATANODE_USER=root HDFS_DATANODE_SECURE_USER=hdfs
will force ‘hdfs –daemon start datanode’ to be root, but will eventually switch to the hdfs user after the privileged work has been completed.
Be aware that if the --workers flag is used, the user switch happens after ssh is invoked. The multi-daemon start and stop commands in sbin will, however, switch (if appropriate) prior and will therefore use the keys of the specified _USER.
Apache Hadoop allows for third parties to easily add new features through a variety of pluggable interfaces. This includes a shell code subsystem that makes it easy to inject the necessary content into the base installation.
Core to this functionality is the concept of a shell profile. Shell profiles are shell snippets that can do things such as add jars to the classpath, configure Java system properties and more.
Shell profiles may be installed in either ${HADOOP_CONF_DIR}/shellprofile.d or ${HADOOP_HOME}/libexec/shellprofile.d. Shell profiles in the libexec directory are part of the base installation and cannot be overridden by the user. Shell profiles in the configuration directory may be ignored if the end user changes the configuration directory at runtime.
An example of a shell profile is in the libexec directory.
Apache Hadoop’s shell code has a function library that is open for administrators and developers to use to assist in their configuration and advanced feature management. These APIs follow the standard Apache Hadoop Interface Classification, with one addition: Replaceable.
The shell code allows for core functions to be overridden. However, not all functions can be or are safe to be replaced. If a function is not safe to replace, it will have an attribute of Replaceable: No. If a function is safe to replace, it will have the attribute of Replaceable: Yes.
In order to replace a function, create a file called hadoop-user-functions.sh in the ${HADOOP_CONF_DIR} directory. Simply define the new, replacement function in this file and the system will pick it up automatically. There may be as many replacement functions as needed in this file. Examples of function replacement are in the hadoop-user-functions.sh.examples file.
Functions that are marked Public and Stable are safe to use in shell profiles as-is. Other functions may change in a minor release.
In addition to .hadoop-env, which allows individual users to override hadoop-env.sh, user’s may also use .hadooprc. This is called after the Apache Hadoop shell environment has been configured and allows the full set of shell API function calls.
For example:
hadoop_add_classpath /some/path/custom.jar
would go into .hadooprc
Utilizing the Shell API, it is possible for third parties to add their own subcommands to the primary Hadoop shell scripts (hadoop, hdfs, mapred, yarn).
Prior to executing a subcommand, the primary scripts will check for the existence of a (scriptname)_subcommand_(subcommand) function. This function gets executed with the parameters set to all remaining command line arguments. For example, if the following function is defined:
function yarn_subcommand_hello { echo "$@" exit $? }
then executing yarn --debug hello world I see you will activate script debugging and call the yarn_subcommand_hello function as:
yarn_subcommand_hello world I see you
which will result in the output of:
world I see you
It is also possible to add the new subcommands to the usage output. The hadoop_add_subcommand function adds text to the usage output. Utilizing the standard HADOOP_SHELL_EXECNAME variable, we can limit which command gets our new function.
if [[ "${HADOOP_SHELL_EXECNAME}" = "yarn" ]]; then hadoop_add_subcommand "hello" client "Print some text to the screen" fi
We set the subcommand type to be “client” as there are no special restrictions, extra capabilities, etc. This functionality may also be use to override the built-ins. For example, defining:
function hdfs_subcommand_fetchdt { ... }
… will replace the existing hdfs fetchdt subcommand with a custom one.
Some key environment variables for Dynamic Subcommands:
This is the name of the Java class to use when program execution continues.
This is the name of the Java class to use when a daemon is expected to be run in a privileged mode. (See more below.)
This is the name of the script that is being executed. It will be one of hadoop, hdfs, mapred, or yarn.
This is the subcommand that was passed on the command line.
This array contains the argument list after the Apache Hadoop common argument processing has taken place and is the same list that is passed to the subcommand function as arguments. For example, if hadoop --debug subcmd 1 2 3 has been executed on the command line, then ${HADOOP_SUBCMD_ARGS[0]} will be 1 and hadoop_subcommand_subcmd will also have $1 equal to 1. This array list MAY be modified by subcommand functions to add or delete values from the argument list for further processing.
If this subcommand runs a service that supports the secure mode, this variable should be set to the classname of the secure version.
Setting this to true will force the subcommand to run in secure mode regardless of hadoop_detect_priv_subcmd. It is expected that HADOOP_SECURE_USER will be set to the user that will be executing the final process. See more about secure mode.
If this command can be executed as a daemon, set this to true.
This is the full content of the command line, prior to any parsing done. It will contain flags such as --debug. It MAY NOT be manipulated.
The Apache Hadoop runtime facilities require functions exit if no further processing is required. For example, in the hello example above, Java and other facilities were not required so a simple exit $? was sufficient. However, if the function were to utilize HADOOP_CLASSNAME, then program execution must continue so that Java with the Apache Hadoop-specific parameters will be launched against the given Java class. Another example would be in the case of an unrecoverable error. It is the function’s responsibility to print an appropriate message (preferably using the hadoop_error API call) and exit appropriately.
Some daemons, such as the DataNode and the NFS gateway, may be run in a privileged mode. This means that they are expected to be launched as root and (by default) switched to another userid via jsvc. This allows for these daemons to grab a low, privileged port and then drop superuser privileges during normal execution. Running with privilege is also possible for 3rd parties utilizing Dynamic Subcommands. If the following are true:
then the shell scripts will attempt to run the class as a command with privilege as it would the built-ins. In general, users are expected to define the _SECURE_USER variable and developers define the _CLASSNAME in their shell script bootstrap.


Our mission is to contribute to a more balanced business world. To make a comprehensive analysis of needs both of the employer and the employee perspectives, so as to develop their skills and resources. We propose to give consulting and rigorous training through excellent monitoring, with the aim of promoting professional qualifications and increase the return on investments.
To be the reference company in business development and in improving skills, performance and image.
We aim at developing and implementing new processes in the business world. We want to validate the human side as the main factor behind a company’s success, by anticipating and responding to its consequences on the ground.
We want to give quality training by abiding to quality references, namely the ones suggested by DGERT and that all our courses follow.
Our goal is to be very transparent to our clients and to have a technical team that does specialised, rigorous and unbiased evaluations.


| Sr. No. | Case. No. | Case Name | Total Amount | Billable Amount |
|---|---|---|---|---|
| 1 | 3542 | Chaeque | 10,500 | 10,000 |
| 2 | 3542 | Chaeque | 10,500 | 10,000 |
| 3 | 3542 | Chaeque | 10,500 | 10,000 |
| 4 | 3542 | Chaeque | 10,500 | 10,000 |
| 5 | 3542 | Chaeque | 10,500 | 10,000 |
| 6 | 3542 | Chaeque | 10,500 | 10,000 |
| 7 | 3542 | Chaeque | 10,500 | 10,000 |
| 8 | 3542 | Chaeque | 10,500 | 10,000 |


# Plugin FusionInventory for GLPI
# New features in version 9.1+1.0
## Introduction
In this major version, we add many features created months / years before.
These features was in milestone _accepted changes still unplanned_.
Don't wait more, let's see that...
### New operating system organization (2/2)
An example in main computer form:
![Alt text](image/operatingsystem.png)
### Manage operating system in software version
In a software you can now have more than 1 time the same version number because it's managed by couple (__version__ + __operating system__).
For example, it's possible to have for FusionInventory-agent:
* 2.3.18 - windows
* 2.3.18 - mac os
* 2.3.18 - linux
### Display remote management information in computer form (Like teamviewer ID)
A tab is added in computer form.
### Merge install and uninstall deploy package (simplification)
In package form, you have only install tab renamed _package actions_.
Like this, it's more simple to use and no question to ask himself when create package ;)
### In tasks, add option to not run again if previously in state OK
![Alt text](image/task.png)
### Self service interface for software deployment
Prepare packages and define who can install (simplified interface profile + computers/entities...)
![Alt text](image/self-deploy.png)
### Update install date of software version on computer
![Alt text](image/software_installdate.png)
### Enhance security with filter all GET and POST in plugin FusionInventory


WITNESS LIST Public Health Committee May 8, 1997-6:00P SB 361 For: Gray, Patricia (Self, Representative) Weitz, Tim (TAA) SB 414 For: Reyna, Arthur (Self, Representative) SB 1234 For: Anderson, Patty (UCPT) Becklind, Rob (Self, BHHC) Bradberry, Anita (TAHC) Cernoch, Jennifer M. (TRRN) Kafka, Bob (ADAPT) Magruder, Mary Jo (TPCDD) On: Hale, Karen (TXMHMR) SB 1247 For: Vasek, Heather (TAHC) SB 1313 On: Penfield, Susan (TDH) SB 1699 On: Levy, Bruce (TSBME)


Happiness is more and more thought of as a useful measure of social progress and,
therefore, an important target of public policy. Correspondingly, research to
determinants of happiness has been flourishing. On this web page, eleven
explanatory variables of life satisfaction in Europe are visualized, which are
considered to play an important role in the observed variation in happiness
between countries. Importantly, it should be noticed that these variables
indicate interesting notions of correlation (both with each other as with
unmeasured factors) rather than reflect clean causal relationships.
Hover over information
icons for brief explanations.


<%- include components/contact-modal.html %> <%- include components/newsletter-modal.html %> <%- include components/navbar-modal.html %> <%- include components/navbar.html %>
Projects
snapshots
films
<%- include components/footer.html %>


All Settings
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S earch:
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enrollment
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for the app)
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Download maps
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Note: This Settings section on desktop will be called Search when the PC is set to regions
where Cortana is
not currently available or Cortana has been disabled. Cortana-specific pages (Cortana across
my devices, and
Talk to Cortana) will not be listed in this case.
Cortana across my devices
More details
Permissions & History
Searching Windows
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later)
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deployed
a provisioning package)
Windows Anywhere (device must be Windows Anywhere-capable)


@(userForm: Form[User], recList: java.util.ArrayList[String], username: String)
@import helper._
@mainrec("Recommendations") {
@helper.form(action = routes.Javatar.submitrec(username)){
@inputRadioGroup(
userForm("movie1"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> recList.get(0))
@inputRadioGroup(
userForm("movie2"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> recList.get(1))
@inputRadioGroup(
userForm("movie3"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> recList.get(2))
@inputRadioGroup(
userForm("movie4"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> recList.get(3))
@inputRadioGroup(
userForm("movie5"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> recList.get(4))
@inputRadioGroup(
userForm("movie6"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> recList.get(5))
@inputRadioGroup(
userForm("movie7"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> recList.get(6))
@inputRadioGroup(
userForm("movie8"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> recList.get(7))
@inputRadioGroup(
userForm("movie9"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> recList.get(8))
@inputRadioGroup(
userForm("movie10"),
options = options("0"->"0","1"->"1","2"->"2","3"->"3","4"->"4","5"->"5"),
'_label -> recList.get(9))


Your primary fabric8.io email address will be used for account-related notifications as well as any
web-based fabric8.io Git operations (e.g. edits and merges).
{{e}}PrimaryPrivate
We will use {{profile.current.primaryEmail}} when performing web-based Git operations and sending email on your behalf. If you want command-line Git operations to use your private email you must set your email in Git.


All the pieces and how they work together!
Maintainer of Commerce Reports, Commerce Deploy, MojoCart
Co-maintainer of Drupal Commerce, Commerce Kickstart
Drupal Commerce is about as Drupal-y as they come, harnessing the power of the major and most used modules in the Drupal ecosystem.
Drupal Commerce uses the Entity API to the fullest, utilizing five different entities in total.
It extends core's entity API into a more unified structure, including CRUD operations. Entities in Drupal are a way to handle data and utilize the Field API (simply put.)
No custom code for displaying entities, everything is powered by Views.
Drupal hooks with a user interface. Setup conditions which react to events and perform specific actions. Drupal Commerce harnesses much of its functionality through Rules rather than standard hook implementations.
Last, but not least, Entity integration could not be completed without Field API.
Drupal Commerce isn't just Drupal-y because it utilizes other contributed projects, but because it is composed of ELEVEN sub-projects itself.
Decoupled design allows for complex implementation and ultimate flexibility.
Before diving in: there is Commerce Kickstart that provides a demo store and an opinionated installation of a Drupal Commerce site.
There are two installation options: demo, or no demo. The demo is great for learning Drupal Commerce and having a best-practices example. However, if you are going to build a Drupal Commerce site, use the no demo install
In my opinion the most integral entity in the Commerce system.
The product pricing module is an API that extends hooks provided by the Price module. It utilizes Rules to adjust the components of a price field to increase or decrease the total price amount
That was a lot. I mean a lot.
Commerce Kickstart provides a demo store installation complete with products, categories, blog, ad placements, and more.
Who should use Commerce Kickstart? Anyone who wants to skip weeks of configuration to build a commerce site on the Drupal Commerce framework.
It's opinionated and a great way to get started on your first project.
Commerce Deploy aims to simplify Drupal Commerce development for site builders and developers. Get started faster and cut the cruft of dependency gathering. The ideology behind Commerce Deploy is to provide enhancements to Drupal Commerce development without getting in the way.
It is a decoupled base distibution composed of several projects - so you can take the whole thing or the parts you want for your own distributions.
MojoCart brings together Panopoly and Commerce Deploy to create a robust e-commerce distribution.
Currently in development, MojoCart plans to harness the power of Apps and provide a robust site builder Drupal Commerce experience powered by Panels.


05/08/2019
(The Eve of my 21st Birthday)
Time is such a strange thing. When I got out of the shower today, I found myself vaguely surprised to have made it this far. That makes it sound like I expected to die, but I didn’t. I guess I never really thought about this as something that would really happen. Like turning twenty-one was something for other people, but not really me. But here we are.
Looking back, there’s a lot I wouldn’t change, and a few things I would. I wouldn’t change breaking my nose and starting to mountain bike. I wouldn’t change choosing to go to CU. I wouldn’t change playing soccer, and I definitely wouldn’t reconsider quitting.
On the other hand, my stint with anorexia, the repercussions of which are still shaking me, I would do anything in my power to prevent. Not necessarily for me—I learned a lot about through that experience, horrible as it was—but for my family. That wasn’t something I should have ever put them through, and no force on earth will make me put them through it again. I also could have been more social in high school. I could have made some real friends and fought off the bitter loneliness I experienced for so many years. But I didn’t.
Looking forward, I wonder what forty-two will feel like. I’ve had a wild ride thus far. I hope that I never get bored. I hope I love what I’m doing, whatever it is, and if I don’t, I hope I’m brave enough to move. Change scares me. It scares me a lot. I hope I’m strong enough and wise enough to know myself and face down that fear. I hope, when I look back from forty-two, I can be happy with the progress I’ve made in my second set of twenty-one years.
Looking at the present, I don’t have much to say. I love where I am, but I don’t deserve it. I’ve had a free and easy ride, comparatively. My only hardships have been self inflicted. Tomorrow will be a day for self-inflicted hardships, but the good kind. The memory-making, type-two fun kind. Here's the plan:
- Wake up early
- Take the bus to the trailhead
- Be outside for a hella long time
- Go home, bathe
- Go out to dinner with friends
Here's the added spice:
- It’s been raining for two days (so yes, Perry, it is muddy)
- It’s going to snow between three and five inches tonight
- We are going to hike (up) and run (flats and down) twenty-one miles
- It is the skyline traverse, so we will summit five peaks (Sanitas, Flagstaff, Green, Bear, South)
- It is supposed to snow all day
- One of the people I’m forcing to join me (Perry) got squished by a rock and has seven stitches in his hand.
It’s going to be a blast.  I am coming to like the girl that runs the skyline traverse in the snow instead of getting hammered at the bars. I’m still working on realizing that she (me) is not an extrovert and never will be, but that is okay. It has been a good journey so far, but I won’t say I can’t wait to see what comes. Actually, if time could slow down a bit and let me catch up, that would be fine by me.
Feeling oddly,
A


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This module simply create a view from an svg file by exposing the androidsvg-1.2.1 lib and the SVGKit 2.X for IOS lib.
Download the latest distribution ZIP-file and consult the Titanium Documentation on how install it, or simply use the gitTio CLI:
$ gittio install com.geraudbourdin.svgview
`javascript
var svgView = require('com.geraudbourdin.svgview');
var svg = svgView.createView({
image: "0.svg",
width: '350',
height: '350',
top: 0,
left: 0,
backgroundColor:'pink'
});
$.container.add(svg);
`
You can change your file dynamically with the setImage(path) function.
javascript
var image = 'android.svg';
svg.setImage(image);
Or simply use it to set an image to a button :
`javascript
var svg = svgView.createView({
image: "android.svg",
width: '50',
height: '50',
top: 0,
left: 0,
backgroundColor:'pink'
});
var svgImage = svg.toImage().media;
$.buttonSvg.setImage(svgImage);
`
The MIT License (MIT)
Copyright © 2015 Géraud Bourdin
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


HOLA YO SOY JESSE!
I enjoy a strong power ballad
There's nothing like coming home to a Full House
CASH IS KING


Ninja Gold
Your Gold:
{{session['gold']}}
Farm
(earns 10-20 golds)
Find Gold!
Cave
(earns 5-10 golds)
Find Gold!
House
(earns 2-5 golds)
Find Gold!
Casino
(earns/takes 0-50 golds)
Find Gold!
Activities:
{%for message in session['message']:%}
{{message}}
{% endfor %}
Reset


Layouts
Wiki ▸ [[API Reference]] ▸ Layouts
See one of:
-
| [[Bundle |
Bundle-Layout]] - apply Holten’s hierarchical bundling algorithm to edges. |
-
| [[Chord |
Chord-Layout]] - produce a chord diagram from a matrix of relationships. |
-
| [[Cluster |
Cluster-Layout]] - cluster entities into a dendrogram. |
-
| [[Force |
Force-Layout]] - position linked nodes using physical simulation. |
-
| [[Hierarchy |
Hierarchy-Layout]] - derive a custom hierarchical layout implementation. |
-
| [[Histogram |
Histogram-Layout]] - compute the distribution of data using quantized bins. |
-
| [[Pack |
Pack-Layout]] - produce a hierarchical layout using recursive circle-packing. |
-
| [[Partition |
Partition-Layout]] - recursively partition a node tree into a sunburst or icicle. |
-
| [[Pie |
Pie-Layout]] - compute the start and end angles for arcs in a pie or donut chart. |
-
| [[Stack |
Stack-Layout]] - compute the baseline for each series in a stacked bar or area chart. |
-
| [[Tree |
Tree-Layout]] - position a tree of nodes tidily. |
-
| [[Treemap |
Treemap-Layout]] - use recursive spatial subdivision to display a tree of nodes. |


---
layout: archive
title: "Lab News"
permalink: /lab-news/
author_profile: true
---
We are currently seeking young male participants aged 18 to 28 for an online study on decision-making related to body image.
If you are interested in participating, please email the lab.
We are seeking young adults aged 18 to 28 for a study of decision-making in changing environments.
This is an online study where participants will play games with rewards and maps that change over time.
We would like to see how these sorts of changes are processed by young adults, and how they affect decision-making.
If you are interested in participating, please email the lab.
Multilevel models are statistical models of parameters that vary at more than one level. Sean hosted a free workshop about conducting them in R!
Check out Sean's workshop repository for more information.
A tutorial in collaboration with CUPA designed to show undergraduates and graduate students in psychology how to conduct simple behavioral and cognitive experiments using the jsPsych library.
Check the tutorial repository for all the code and material.
Devine, S., Germain, N., Ehrlich, S., & Eppinger, B. (2021, July 12; Under Review). Changes in The Prevalence Of Thin Bodies Biases Young Womens’ Judgements about Body Size PsyArXiv, https://doi.org/10.31234/osf.io/nur5k
Ruel, A., Bolenz, F., Li, S., Fischer, A. G., & Eppinger, B. (2021, April 23; Under Review). Neural evidence for age-related deficits in the representation of state spaces. PsyArXiv, https://doi.org/10.31234/osf.io/nh5u7
Bolenz, F., Profitt, M. F., Stechbarth, F., Eppinger, B., & Strobel, A. (2020, June 10; Under Review). Need for cognition does not account for individual differences in metacontrol of decision making. PsyArXiv, https://doi.org/10.31234/osf.io/d7y4w
Bolenz F, Eppinger, B. (2020, October 7; Submission) Valence bias in metacontrol of decision making in adolescents and young adults. PsyArXiv, https://doi.org/10.31234/osf.io/5u9jq
Bruckner, R., Nassar, M. R., Li, S., & Eppinger, B. (2020, July 29; Under Review). Differences in adaptive learning across the lifespan are driven by satisficing. PsyArXiv, https://doi.org/10.31234/osf.io/nh9bq
Alexa has been making waves in the local news scene.
On local Montréal news station CJAD, she spoke about how we need to make technology more accessible to senior citizens. Listen to the show!
Alexa has also written an article on the same subject for the Montréal Gazette.
Sean Devine, Nathalie Germain, Stefan Ehrlich, & Ben Eppinger. Changes in the prevalence of thin bodies biases young women's judgements about body size. Poster presentation.
See Sean and Nathalie's poster.
Alexa Ruel & Ben Eppinger. Neural evidence for age-related deficits in the representation of state spaces. Symposium talk.
Our very own PhD student, Alexa was named a 2021 Concordia Public Scholar.
Congratulations Alexa!
Follow Alexa on her Public Scholar journey!
Nathalie Germain, Maxine Profitt & Ben Eppinger. Individual differences in decision-making: impact of Covid-19.
See Nathalie's poster and repository.
Alexa was awarded a 2021 Scientific Citizenship Award from the Centre de Recherche en Développement Humain (CRDH) in recognition of her involvement in the scientific community.
Check out Alexa's website to learn more about her outreach projects.
In recognition of her academic success and research potential, our intrepid PhD candidate Alexa Ruel was awarded a postgraduate scholarship from the Natural Sciences and Engineering Research Council of Canada. Congratulations Alexa!
Alexa talks about her PhD work on Abstract, a podcast hosted by Jeremy Ullman about graduate-level research.
Listen to Alexa's episode!
Sean has also been on the podcast back in 2020 to talk about decision-making and effort.
Listen to Sean's episode!
This paper by Sean Devine, Cassandra Neumann, Robert Wilson, David Levari, & Ben Eppinger is currently under consideration at a Nature Research Journal.
See submission.
Sean Devine, Cassandra Neumann, David. E. Levari, Robert C. Wilson, & Ben Eppinger. Prevalence-Induced Concept Change in Older Adults. Accepted for online talk due to Covid19.
See Sean's submission and presentation
Sean Devine, Cassandra Neumann, Robert Wilson, David Levari, & Ben Eppinger. Prevalence-induced concept change in older adults. Accepted for poster presentation. CANCELLED DUE TO COVID19.
See Sean's poster.
Sean Devine, Cassandra Neumann, Robert Wilson, David Levari, & Ben Eppinger. Prevalence-induced concept change in older adults. CANCELLED DUE TO COVID19.
Sean Devine, Cassandra Neumann and Alexa Ruel presented online at the CRDH webinar on Judgement and Decision-Making In Human Ageing.
Sean Devine, Cassandra Neumann, Robert Wilson, David Levari, & Ben Eppinger. Prevalence-induced concept change in older adults.
See Sean's poster.
Alexa Ruel, Florian Bolenz, Shu-Chen Li, & Ben Eppinger. Older Adults Demonstrate Greater Model-based Decision-making when Task Demands are Reduced.
See Alexa's poster.
Alexa Ruel, Florian Bolenz, Shu-Chen Li, & Ben Eppinger. Adult Age Differences in Dynamics of Model-based Decision-making.
See Alexa's extended abstract.
Sean Devine, Florian Bolenz, Andrea Reiter, Ross Otto, & Ben Eppinger. Lifespan Developmental Differences in the Effects of Opportunity Costs on Cognitive Effort.
See Sean's extended abstract.
Sean Devine, Florian Bloenz, Andrea Reiter, Ben Eppinger, Ross Otto & Joni Shuchat. Lifespan developmental differences in the effects of opportunity cost on cognitive effort.
Congratulations to Sean Devine for winning the CRDH undergraduate poster presentation award!
See Sean's poster.
Organised by Ben Eppinger, Julia Rodriguez Buritica, Dietsje Jolles, & Wouter van den Bos, the aim of this symposium was to lay out the different perspectives on science of learning research in education and developmental cognitive neuroscience and to crystalize challenges and gaps in both fields where an interdisciplinary exchange would be helpful.
See the program here!
Dr. Ben Eppinger and Sean Devine presented at the Flux Society's 6th Annual Congress on the topic of lifespan developmental differences in the effects of opportunity costs on cognitive effort.
See the program here!


3D object's wireframe
Change style
Pick an object file:
Choose file
Display
Enter the parameters:
Set the rotatation angle:
(DEFAULT = 5)
Set
Set object size:
(DEFAULT = 700)
Set
Set object scaling by X:
(DEFAULT = 0.1)
Set
Set object scaling by Y:
(DEFAULT = 0.1)
Set
Set object scaling by Z:
(DEFAULT = 0.1)
Set
Set object translation by X:
(DEFAULT = 0.35)
Set
Set object translation by Y:
(DEFAULT = 0.35)
Set
Set object translation by Z:
(DEFAULT = 0.35)
Set
How to make transformations:
Operation:
Rotation
Translation
Scaling
Direction:
+
-
+
-
+
-
X
W
S
H
F
L
J
Y
A
D
T
G
I
K
Z
Q
E
R
Z
U
O


Chotolate
Fried Chicken
Cheese cake
Harry Potter
Iron Man
Big Hero 6
Apple
Pine Apple
Bule Berry
Swimming
Swimming helps keep fit your whole body


Year 1987: Let William Shatner do the introduction
GRASS GIS for geospatial research
grass.osgeo.org
general purpose GIS with wxPython GUI and CLI
backend processing for QGIS, R statistics, WebGIS
powerful 2D/3D raster, imagery and vector processing
single integrated software with 30 years of development
GRASS GIS and innovation
GRASS has long history - known as a reliable geospatial number cruncher (Neteler 2014)
Developed as component of research projects - innovation through research
Many historically innovative tools serve today: our examples are just a small subset
Watersheds and stream extraction
First worldwide map of watersheds derived from a global DEM
Unique least cost path algorithm, no depression filling needed:
r.watershed
Updated for massive data sets (SRTM, lidar DEMs)
Ehlschlaeger C., 1989, Using the AT Search Algorithm to Develop Hydrologic Models from Digital Elevation Data,
Proc IGIS Symposium '89, 275-281.
Metz M., Mitasova H., and Harmon R.S., 2011, Efficient extraction of drainage networks from massive, radar-based elevation models with least cost path search, Hydrology and Earth System Sciences, 15, 667-678
Multivariate splines
2D, 3D and 4D interpolation with tuneable tension
Mitasova, H., L. Mitas, 1993, Interpolation by regularized spline with tension: I. Theory and implementation. Mathematical Geology 25, 641-655.
Splines with geometry analysis
simultaneous topo analysis: gradients, curvatures
tuneable level of detail, geometry preserving smoothing
Mitasova, H., Mitas, L., Harmon, R.S., 2005, Simultaneous spline interpolation and topographic analysis for lidar elevation data: methods for Open source GIS, IEEE GRSL 2(4), 375-379.
Dynamic volume modeling
Groundwater pollution plume interpolated from 10 years of well monitoring data
using 4D spline function
WM Brown, M Astley, T Baker, H Mitasova, 1995, GRASS as an integrated GIS and visualization system for spatio-temporal modeling AUTOCARTO, 89-99
Dynamic water and sediment flow
Flow accumulation and sediment transport capacity visualized as dynamic surfaces
Mitasova, H., L. Mitas, B.M. Brown, D.P. Gerdes, I. Kosinovsky, 1995, Modeling spatially and temporally distributed phenomena: New methods and tools for GRASS GIS. IJGIS, 9 (4), 443-446.
Duality of particles and fields
Path sampling method for flow continuity equations
Mitas, L., Mitasova, H., 1998, Distributed erosion modeling for effective erosion prevention. Water Resources Research 34(3), pp. 505-516
GRASS 7 innovations
Space-Time Framework
Space-time 2D, 3D raster and vector datatypes
Time series datasets managed in temporal database
New modules: query, aggregation, conversion, statistics, gap filling
Gebbert, S., Pebesma, E., 2014. TGRASS: A temporal GIS for field based environmental modeling.
Environmental Modelling & Software 53, 1-12.
MODIS land surface temperature
14 years of 4/day (20K) maps, entire Europe, 250m res
advanced statistics to fill no-data and enhance resolution,
multivariate regression includes elevation, solar angle, precipitation
EuroLST: http://gis.cri.fmach.it/eurolst/, Metz, Rocchini, Neteler, 2014: Rem Sens, 6(5): 3822-3840
DEM time series visualization
Jockey's Ridge migration 1974 - 2014, lidar time series
Hardin, E., Mitasova, H., Tateosian, L., Overton, M., 2014, GIS-based Analysis of Coastal Lidar Time-Series, Springer Briefs in Computer Science, Springer, New York, 84 p.
Starek, M.J., Mitasova H., Wegmann, K, Lyons, N., 2013,
Space-Time Cube Representation of Stream Bank Evolution Mapped by
Terrestrial Laser Scanning, IEEE GRSL 10(6), p. 1369-1373
Mapping with sUAS
Trimble UX5 UAS flight plan analysis
Surface water flow modeling
SfM in Agisoft or OpenDroneMap > point cloud
DSM interpolation and path sampling-based surface runoff modeling in GRASS GIS
Jeziorska, J; Mitasova, H; Petrasova, A; Petras, V; Divakaran, D; Zajkowski, T., 2016, Overland flow analysis using time series of sUAS-derived elevation models, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol III-8, pp.159-166
Geomorphons
Basic landforms extracted for the entire US
Interactive search of similar landuse patterns
On-line geospatial analytics: http://sil.uc.edu/
Spatial Informatics Laboratory, University of Cincinnati


.NET Agent Metrics Report - All Apps
Overview
Findings
URLs
TeamServer
Pipe Messages
Errors / Warnings


Aperture services may be called from Java through these SPIs, in addition to using the JavaScript APIs or underlying REST interfaces.


Prototype Creation
Goal oriented layout
Consultation about website goals
Coding the website
Responsive Design
Client adjustments
Domain creation
Launching of website
Optional monthly maintanance


A simple example of wrapping an existing component inside an Angular directive.
In this case a Bootstrap Tooltip is applied to an element using a <TAG tooltip="text"/>
tag
NOTE: This directive is designed to be as simple as possible and therefore doesnt deal with things such as the tooltip having dynamic, templated text (e.g. Hello {{name}}
). See directives-wrapping2 for the complete version of this directive.


Florida man, 27, allegedly hurled Chihuahua in cage at cousin during fight
by Frank MilesA man is facing charges in Florida, according to reports, for allegedly picking up a Chihuahua in a metal cage and throwing it at a family member during a fight last Tuesday night.
Stephone Johnson, 27, was said to have threatened to harm his cousin during the argument in St. Petersburg, and then threw the cage with the 1-year-old Chihuahua named Roscoe inside, the Tampa Bay Times reported.
Johnson, now facing a misdemeanor battery charge, investigators said, admitted to the crime after officers questioned him.
Johnson had at least a dozen convictions for minor crimes, including trespassing, theft, and fleeing and eluding a police officer, the news outlet reported.
The suspect was released on Wednesday from the Pinellas County Jail but was ordered not to return to the home he shared with the cousin, The Associated Press reported.
CLICK HERE FOR THE FOX NEWS APP
Online records showed his case has been assigned to the public defender's office, but the office was closed Sunday.
The Associated Press contributed to this report.


@tag390g
update to latest version: 0.5.7-4
go to %appdata%
find the Komodo folder
Enter it
delete the following files/folders
blocks
chainstate
notarisations
komodostate
komodostate.ind
peers.dat
DO NOT delete wallet.dat
back it up
download https://bootstrap.dexstats.info/KMD-bootstrap.tar.gz
Extract the bootstrap file to the Komodo folder in %appdata%