Evaluation of C-like expressions was added to HexEdit Pro to assist in the processing of templates. However, expressions can also be used in other areas -- for example, you can type an expression into the hex and decimal jump tools or the calculator to jump to a calculated address.
Operators
The expressions supported are very much like C/C++ expressions with a few inappropriate operators removed. Although the operators have the same precedence as in C/C++, their behaviour varies in some ways. For example, the + operator can be used to concatenate strings since strings are supported as a primitive type (see the section on Types below). However, for numeric (integer and floating point) operations the operators behave very much as expected.
The following operators are supported with similar behaviour and the same precedence as in C and C++:
|
Operator(s) |
Meaning |
|
[ ] |
array indexing |
|
( ) |
nested expression |
|
. |
struct member access (templates only) |
|
+ - |
unary plus and minus |
|
! |
logical NOT |
|
~ |
bitwise NOT |
|
* / % |
multiply, divide and remainder |
|
+ - |
addition, subtraction (see Note 2) |
|
<< >> |
bit-wise shifts |
|
& |
bit-wise AND |
|
^ |
bit-wise exclusive OR |
|
| |
bit-wise OR |
|
< <= > >= |
comparisons (for strings, integers, dates and floating point) |
|
== != |
equality, inequality (for strings, integers, dates and floating point) |
|
&& |
logical AND |
|
|| |
logical OR |
|
? : |
conditional (ternary) operator |
|
= |
assignment |
|
, |
sequence (comma) operator |
Note: the assignment operators (+=, etc), except for normal assignment (=) are not implemented. Of course, they are just a shortcut so are not essential. For example use "a = a + 1" instead of " a+= 1".
Note 2: The + operator can be used to concatenate strings. The - and + operators can also be used with dates: subtracting dates returns a difference as a floating point value (which is the number of days between the dates), you can add an integer or floating point value to a date to get a new date (or even add two date values together).
Functions
Expressions also support the following built-in "functions":
|
Function |
Returns |
Operand(s) |
|
sizeof |
size of a template element in bytes (returns integer) |
any file element |
|
addressof |
address in the file of the first byte of an template element (integer) |
any file element |
|
defined |
is a template element defined |
name of the element |
|
getbool |
true or false depending on which button the user selected |
string (prompt), then optionally: string (true button), string (false button) |
|
getint |
integer entered by the user |
string (prompt), then optionally: int (default value), int (min), int (max) |
|
getstring |
string entered by the user |
string (prompt), then optionally: string (default value) |
|
abs |
absolute value (return type = type of operand) |
integer or floating point |
|
min |
minimum of several values (return type = type of operands) |
integer or floating point |
|
max |
maximum of several values (return type = type of operands) |
integer or floating point |
|
int |
converts a floating point or boolean to an integer |
floating point or boolean |
|
date |
converts a date or date+time string to a date type |
string |
|
time |
converts a string containing a time of day to a date type (with date part set to zero) |
string |
|
year |
creates a date given a year number |
integer |
|
month |
creates a date given a month number |
integer |
|
day |
creates a date given a day of the month |
integer |
|
hour |
creates a date type given an hour of the day (0 to 23) |
integer |
|
minute |
creates a date type given a minute of the hour (0-59) |
integer |
|
second |
creates a date type given a second of the minute (0-59) |
integer |
|
now |
returns current date and time of day as a date |
- |
|
rand |
returns a 64 bit random number |
- |
|
atoi |
converts a string of digits (with optional sign) to an integer |
string |
|
atof |
converts string (possibly including sign, decimal point and exponent) to floating point |
string |
|
strlen |
returns length of string as an integer (for fields does not include terminator if present) |
string |
|
left |
returns the left digits of a string as an integer |
string and integer |
|
right |
returns the right digits of a string as an integer |
string and integer |
|
mid |
given a string, starting position and (optional) length returns a string |
string, integer and (optional) integer |
|
strchr |
given a string & character, returns the position of the first occurrence (or -1 if not found) |
string and character (as integer) |
|
strstr |
given a string to search & a string to search for returns 1st occurrence or -1 as integer |
string and string |
|
stricmp |
compares two strings disregarding case and returns 0, -ve, or +ve integer |
two strings |
|
ebc2asc |
converts an EBCDIC string to ASCII |
EBCDIC string |
|
asc2ebc |
converts an ASCII string to EBCDIC |
string |
|
pow |
raise 1st param. to power of 2nd param. (returns integer if both operands are integer) |
integer or floating point |
|
sqrt |
returns the square root of a number as a floating point |
floating point |
|
sin |
returns the sine of a number (radians) as a floating point |
floating point |
|
cos |
returns the cosine of a number (radians) as a floating point |
floating point |
|
tan |
returns the tan of a number (radians) as a floating point |
floating point |
|
asin |
returns the arcsine of a number as a floating point (radians) |
floating point |
|
acos |
returns the arcosine of a number as a floating point (radians) |
floating point |
|
atan |
returns the arctangent of a number as a floating point (radians) |
floating point |
|
exp |
returns the number raised to a power of e as a floating point |
floating point |
|
log |
returns the log (base 10) of a number as a floating point |
floating point |
Note that addressof only makes sense in expressions used in templates. It should not be used in other expressions such as the hex and decimal jump tools.
Also note that you can add dates together so you can use the year, month, etc functions to build a date from component parts, eg day(16) + month(7) + year(1999) gives the date of July 16 1999 (with time of day zero or midnight).
Types
There are 5 basic primitive types: integer, floating point, boolean, string and date. All integer operations are performed using 64-bit integers; all floating point using 64-bit IEEE floating point numbers.
Strings are supported as a primitive type (unlike C). You can assign (=), concatenate (+) and compare (<, <=, == etc) strings.
Dates are a primitive type that can be used to store a date and/or time. You can compare two dates. You can also add/subtract a value (integer or floating point) to a date which adds the specified number of days. You need to use floating point values to adjust the time -- eg. add 1.0/24.0 to add one hour to a date/time value. You can create a date using the new built-in "date" function which just takes a string containing a date or date and time.
Expressions are more strongly type-checked than expressions in C/C++. For example, comparison and boolean operators return a boolean type which cannot be used as an integer (unless converted using the int() function). As another example, the first operand of the conditional (?:) operator must be boolean and the 2nd and 3rd must be of the same type. But note that an integer value will be automatically converted to a floating point when necessary.
When evaluating templates all integers are converted to 64-bit signed values before use in an expression; floats are converted to 64-bit IEEE values.
Variables
New variables are not declared, but are created on first use. Assigning a value to a name will create a global variable of that name if it does not already exist. The type of the variable is the type of the expression assigned to it.
When hex constants are allowed (see Constants below) it can be ambiguous whether letters refer to a variable identifier or a hex constant. This can happen in the hex jump tool or the calculator in Hex base mode. An example is the expression "A = A & FF". In this case a variable name can be prefixed with '@' to avoid the ambiguity (eg "@A = @A & FF");
When expressions are used in a template (see Template Files) there are facilities for accessing any value of the file encountered up to that point. (Note that you can use but not assign to these "variables".) The syntax is identical to accessing structure members and array elements in C/C++. Members of a "STRUCT" are accessed using the dot operator. Elements of a "FOR" are accessed using the array access operator (ie an integer index in square brackets).
In some uses of expressions in templates a special variable called "this" can be evaluated. It refers to the current element.
Arrays
The array indexing operator (square brackets) is used in 4 situations: first you can create and access array variables (see below); you also use the same syntax to access sub-elements of a FOR in a template; you can use array indexing to access individual characters in a string, or use it to access individual bytes of elements with type "none" in a template. Note that all indexing is zero-based like C/C++, ie the "first" element has an index of zero.
Array elements can be created and used just like other global variables. Note that assigning to an array element does not result in any other array elements being created, and in fact, different elements of the same array may have different types. Syntactically arrays are accessed just like in C/C++ using an integer index (any expression that evaluates to an integer) enclosed in square brackets.
Sparse arrays are efficiently stored because individual array elements are only created when first assigned to. Multi-dimensional arrays to any depth are supported. For example:
a[i][j] = "string"
In the above expression if a variable called "a" does not already exist it is created as a 2-dimensional array. Then if the element of the array "a" at (i,j) does not exist it is created, otherwise any existing value is overwritten.
Constants
The following constants (sometimes called literals in C/C++ documentation) are supported in expressions:
Integer: decimal and hex constants (as in C/C++) are allowed, character constants (eg 'c') also evaluate to an integer
Floating point: normal floating point formats are supported (ie, using e or E to signal an exponent)
Boolean: the values true and false only are supported
String: string constants are enclosed in double-quotes
Date: there are no date constants but dates are easily created from a string constants using the "date" function
An integer constant consisting of only decimal digits will be interpreted as a hex number even when not preceded by the usual "0x" when used in the hex address tool or the calculator in Hex mode. The same number will be interpreted as decimal in the decimal address tool.
Hex and Decimal Jump Tools
The jump tools (see Hex Address tool and Decimal Address tool) can now take an expression. This expression can create and assign to global variables (including array elements) and use all the operators and types discussed above but the result of the expression must evaluate to an integer.
Numeric constants in expressions entered into the hex and decimal jump tools are treated as hex or decimal numbers respectively. So if you enter a hexadecimal number into the decimal jump tool you will get a syntax error. Note that this means you cannot use variable names that are hex constants even though they would appear to be OK (eg "a=10"). You cannot create variables with names that only consist of the characters A-F (and 0-9) even in the decimal jump tool as the name would be considered a hex constant if you tried to use the variable in the hex jump tool. You can use variable names that start with A-F as long as they include characters in the range G-Z.
Although you can use "global" variables you cannot use "variables" created in a template in the jump tools, but you can use bookmarks of the current file. Note that the sizeof, addressof, defined and dot-operator (for access to structure members) are only useful in template expressions and will generate an error.
For further information see:
Template Files for more information on using expressions in templates
Hex Address tool for using expressions to jump to a hex address
Decimal Address tool for using expressions to jump to a decimal address


Golden Retriever Puppy Warms Up With Mum
The dog days of summer are definitely over, and this little canine is taking in the cool autumn air.
According to an ancient proverb, keeping a golden-haired dog in the house will bring you luck and prosperity. This golden retriever puppy seems to be enjoying the fine art of snuggling on a weekend morning.


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Michael Agre is an accomplished risk management professional with proven leadership and analytical ability, currently working as a Risk Manager at Genesis FS. He has quickly gained additional responsibilities at every level of his career including becoming the youngest manager with direct reports in Home Credit US and leading a multi-million-dollar analytics consulting relationship with Sprint. He is gifted at building complex systems and strategies where there were none previously.
Intelligent, hard-working, and detail oriented. A unique combination of business and technical skills. Someone people trust to get the job done.
View Resume
Michael is well versed in risk and business analytics. He was the Credit Risk Manager for a team of three analysts, who collectively oversaw the acquisition underwriting strategy for multiple products. This included a personal credit card and point-of-sale financing. He regularly performed complex analytics for Sprint senior vice presidents and was relied upon heavily to make hugely impactful strategy suggestions. He generated entire underwriting strategies from nothing for multiple products.
He also wrote business requirements for an online credit card application, starting with a blank word document. Finally, he helped design a direct mail pre-approval process, including mapping process flows, negotiating prices with vendors, and signing contracts with external vendors.
Currently, Michael works remotely as a Risk Manager at Genesis Financial Solutions where he manages the automated underwriting strategy for Signet Jewelers private label credit card. In only the first few months, Michael has found over two dozen bugs which have increased sales by over 5% without increasing risk. He has also fully re-optimized scorecard cutoffs, decreasing long-term delinquency by up to 10% with equal sales.
Relationship between down payment and likelihood of loan default for different levels of risk and device costs within subprime segment. This data was gathered through a complex champion/challenger test over many months combined with some natural challengers that arose from certain marketing actions. A risk group of 0 is the lowest risk.
Notice for low-price devices in low risk segments, increasing down payment can actually increase risk. Also, risk is less sensitive to down payment as the segments risk level increases
Michael is just as comfortable in aligning low-level technical details as he is in high-level strategy meetings. He has acted as an intermediary between the business teams and IT teams for countless large-scale projects. Also, he is usually the business owner for new feature testing
He is an expert-level user of SQL, Tableau, and Excel with intermediate knowledge of python and R. He was responsible for a 10,000+ line Java program which performed fully automated underwriting for both credit cards and point-of-sale financing. This included manually coding Java, managing the development lifecycle, testing changes, and giving final approval for production deployments.
Finally, Michael is an amateur web developer (including this website and more to follow). This includes back-end and front-end development. While he is not pursuing this as a career, he believes it is a critical skill in 21st century business.
Michael is an accomplished academic with 99.9th percentile perfect score on ACT, 99th percentile score on SAT, and placement in 98th percentile of prospective MBA students on GMAT. He passed the Society of Actuaries P exam with near-perfect score of 9 and is a certified Six Sigma Yellow Belt.
He graduated Magna Cum Laude from the University of Missouri in Kansas City Master of Business Administration program in December 2019 with 3.96 GPA. He is a Mathematics and Economics double major from University of Kansas with 24 graduate level credit hours and full academic scholarship.
Michael has worked regularly with people from a wide variety of cultures including the Czech Republic, China, India, Vietnam, Russia, Indonesia, and others. He has been to the Czech Republic twice and Vietnam once to share institutional knowledge and receive awards (including the accompanying picture). He is also well-versed in the American immigration processes, having written H-1B job descriptions and task lists on multiple occasions, all resulting in approvals without request for evidence.
Michael was born and raised in the Kansas City area, but now onws a home in Charlotte, North Carolina. He lives with his wife, Monika, and two dogs, Sparky and Teddy. In his free time, he likes to read history and enjoys making home improvements. He is an avid sports gambler and fantasy sports commissioner. He is a Christian and celebrates all cultures, including his wife's Hindu traditions.
For employment or consulting opportunities please send an email below
Email


FPS:
Game states
Minimalistic example using all jaws convenience methods and game states.
Game states are an proven and robust way of separating various parts of the game.
For example: An intro, a menu, the actual game play, the high score list. That's 4 different game states right there.
A gamestate is just an normal javascript object with the methods setup(), update() and draw().
In this example we make 2 Constructors:
PlayState()
and
MenuState()
.
We switch active game state with:
jaws.switchGameState(a_game_state_or_function)
jaws log


How long is this string?
Let's find out.
How long should this string be?
What are you trying to say?
Start typing...


Click the button several times in rhythm to choose the tempo and the length of the loop. You can also press any key instead of clicking the button.


Adapting Estimators¶
This chapter describes a low-level function, ibex.frame()
, which transforms estimators conforming to the sickit-learn protocol to pandas
-aware estimators.
Tip
This chapter describes interfaces required for writing a pandas
-aware estimator from scratch, or for adapting an estimator to be pandas
-aware. As all of sklearn
is wrapped by Ibex, this can be skipped if you’re not planning on doing either.
The frame
function takes an estimator, and returns an adapter of that estimator. This adapter does the
same thing as the adapted class, except that:
- It expects to take
pandas.DataFrame
andpandas.Series
objects, notnumpy.array
objects. It performs verifications on these inputs, - and processes the outputs, as described in Verification and Processing.
- It expects to take
- It supports two additional operators:
|
for pipelining (see Pipelining), and+
for feature unions (see Uniting Features).
Suppose we start with:
>>> from sklearn import linear_model
>>> from sklearn import preprocessing
>>> from sklearn import base
>>> from ibex import frame
We can use frame
to adapt an object:
>>> prd = frame(linear_model.LinearRegression())
>>> prd
Adapter[LinearRegression](copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)
We can use frame
to adapt a class:
>>> PdLinearRegression = frame(linear_model.LinearRegression)
>>> PdStandardScaler = frame(preprocessing.StandardScaler)
Once we adapt a class, it behaves pretty much like the underlying one. We can construct it in whatever ways it the underlying class supports, for example:
>>> PdLinearRegression()
Adapter[LinearRegression](copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)
>>> PdLinearRegression(fit_intercept=False)
Adapter[LinearRegression](copy_X=True, fit_intercept=False, n_jobs=1, normalize=False)
It has the same name as the underlying class:
>>> PdLinearRegression.__name__
'LinearRegression'
It subclasses the same mixins of the underlying class:
>>> isinstance(PdLinearRegression(), base.RegressorMixin)
True
>>> isinstance(PdLinearRegression(), base.TransformerMixin)
False
>>> isinstance(PdStandardScaler(), base.RegressorMixin)
False
>>> isinstance(PdStandardScaler(), base.TransformerMixin)
True
As can be seen above, though, the string and representation is modified, to signify this is an adapted type:
>>> PdLinearRegression()
Adapter[LinearRegression](copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)
>>> linear_model.LinearRegression()
LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)
Of course, the imposition to decorate every class (not to mention object) via frame
, can become annoying.
If a library is used often enough, it might pay to wrap it once. Ibex does this (nearly completely) automatically for sklearn
(see sklearn).


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We would love to hear from you. Let Bullseye Kettle Corn serve you hot and fresh Kettle Corn at your next Sporting event, Fundraiser, Festival or Fair, Concert, Rodeo, Corporate or personal party, etc...
We can also do pre-popped for any occasion.
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Data Feed: UniverseMembers
Category: MembershipFeed
This class is described in detail in the Vision Class: Universe document.
| Field | Type | Description |
|---|---|---|
| --- Required Fields --- | ||
| groupId | String | id of existing Universe instance |
| memberId | String | id of existing Entity instance appropriate for Universe |
| --- Suggested Fields --- | ||
| date | Date | date of the membership |
The following tab-delimited feed could be used to define Universe
memberships over time.
Related Feeds:
Sample Upload:
Interface ExternalFeedManager upload: "UniverseMembers" using:
"groupId date memberId
SP500 19971031 45920010
SP500 19971031 37044210
SP500 19971031 88553510
SP500 19971031 00282410
SP500 19971031 00724F10
#--- ...
SP500 19971130 45920010
SP500 19971130 37044210
SP500 19971130 88553510
SP500 19971130 00282410
SP500 19971130 00724F10
#--- ...
DJT Default 01165910
DJT Default 00176510
DJT Default 00202M10
#--- ...
" ;
| Copyright © 1998 Innovative Systems Techniques, Inc. | Updated October 31, 1999 |


SendIT
4 New Notifications
- your order #22776 has left our warehouse
- your order #23455 has been delivered
- your order #23455 has been delivered
- your order #23455 has been delivered
| Order ID |
Date |
Price |
Status |
| #22338 |
20-12-2018 |
N2000 |
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In transit |


Canvas animation demo
Canvas animation demo: Particles with gravity, collision only with the edges, OOP style code, this means that I abstracted most of the entities with the help of classes.
Click the black box above to generate more particles. A maximum of 500 particles are present. If generating while at the limit, old particles will disappear.


fn() calculateCovarianceCalculates the covariance for the number of word occurrences for two words in a sequence of length n, given a
background model.
| Defined in | <seqan/alignment_free.h> |
|---|---|
| Signature |
void calculateCovariance(covariance, word1, word2, bgFrequencies, n);
void calculateCovariance(covariance, word1, word2, bgModel, n);
|
Parameters
covariance
|
Variance of the number of occurrences of the word in a sequence of length n given the model, double. |
|---|---|
word1
|
String, usually of Dna. |
word2
|
String, usually of Dna. |
bgFrequencies
|
String of double with the background frequencies representing |
bgModel
|
MarkovModel to use. |
n
|
Length of the sequence where the occurrences of word are counted, int. |
Detailed Description
Calculates the covariance for the number of word occurrences for two words in a sequence of length n given a background model (Markov model or Bernoulli model). The covariance is influenced by the property of words to overlap, for example, the words ATAT and TATA have a high covariance since they are likely to overlap. The formula is based on (Robin et al., 2005).
References
Robin, S., Rodolphe, F., and Schbath, S. (2005). DNA, Words and Models. Cambridge University Press. See Jonathan Goeke et al (to appear) for details on the implementation.
Examples
Calculate the covariance for the number of occurrences of ATATAT and TATATA in a sequence of length 10000bp with p(A) = p(T) = 0.3 and p(C) = p(G) = 0.2.
using namespace seqan; double covar = 0.0; int n = 10000; DnaString word1 = "ATATAT"; DnaString word2 = "TATATA"; String<double> model; resize(model, 4); model[0] = 0.3; // p(A) model[1] = 0.2; // p(C) model[2] = 0.2; // p(G) model[3] = 0.3; // p(T) calculateCovariance(covar, word1, word2, model, n); // covar = 4.74
Estimate a Markov model on a set of sequences and calculate the covariance for the number of occurrences of ATATAT and TATATA in a sequence of length 10000bp.
using namespace seqan; double covar = 0.0; int n = 10000; DnaString word1 = "ATATAT"; DnaString word2 = "TATATA"; StringSet<DnaString> sequences; appendValue(sequences, "CAGCACTGATTAACAGGAATAAGCAGTTTACTTCTGTCAGAATATTGGGCATATATA" "CTGGGACCCGTGTAATACTCTAATTTAATTAGGTGATCCCTGCGAAGTCTCCA"); MarkovModel<Dna, double> modelMM0(0); // Bernoulli model modelMM0.build(sequences); calculateCovariance(covar, word1, word2, modelMM0, n); // covar = 4.74 MarkovModel<Dna, double> modelMM1(1); // First order Markov model modelMM1.build(sequences); calculateCovariance(covar, word1, word2, modelMM1, n); // covar = 13.1541


QuickStart¶
Good tools make system performance tuning quicker, easier and cheaper than if everything is done manually or by experience.
Bestconfig can find better configurations for a specific large-scale system deployed for a given application workload.
- Overview
- BestConfig Tuning – Taking Spark as the example SUT
- Implementing your own sampling/tuing algorithms for BestConfig
Overview¶
Deployment architectureHere, “deployment environment” refers to the actual running environment of your applications, while “staging environment” is some environment that is almost the same as the deployment environment but where tests are run without interfering the actual application.
The process of deploying BestConfig
The detailed method of using BestConfig to tune practical system is as the following, which can be showed by a case of spark tuning.
BestConfig Tuning – Taking Spark as the example SUT¶
Step 1. Deploy shells scripts for system under tune¶
There are 9 shell scripts in BestConfig and they are classified into two groups.
One group consists of 5 shell scripts. They are start.sh, isStart.sh, stop.sh, isClosed.sh and terminateSystem.sh and deployed on the system under tune.
The scripts of start.sh and stop.sh deployed on worker and master node are different.
(1) Shell scripts (start.sh and stop.sh) on master node
start.sh(master) – this script will start the system on the master node
stop.sh(master) – this script will stop the system on the master node
(2) Shell scripts (start.sh and stop.sh) on worker node
start.sh(worker) – this script will start the system on the worker node
stop.sh(worker) – this script will stop the system on the worker node
Identical shell scripts on master and worker node
isStart.sh – this script will return OK if the system is successfully started
terminateSystem.sh – this script will terminate the system process on the server
isClosed.sh – this script will return OK if the system is successfully terminated
The other group consists of 4 shell scripts. They are startTest.sh, getTestResult.sh, terminateTest.sh and isFinished.sh and deployed on the test node.
startTest.sh – this script will start a test towards the system under tune
isFinished.sh – this script will return OK if the test is done
getTestResult.sh – this script will return performance metrics regarding the test
terminateTest.sh – this script will terminate the testing process
Step 2. Implement the ConfigReadin and ConfigWrite interfaces¶
As for spark tuning, we need to implement the ConfigReadin and ConfigWrite interfaces as SparkConfigReadin and SparkConfigWrite.
Next, we need to compile SparkConfigReadin and SparkconfigWrite to bytecodes. Then the location(path) of compiled bytecodes need to be added to classpath of BestConfig project.
Step 3. Specify the parameter set for tuning and their ranges¶
- An example of defaultConfig.yaml (specifying the parameters for tuning)
(2) An example of defaultConfig.yaml_range (the valid ranges of parameters)
Step 4. Specify the resource limit and things about the tuning environment (or, sample size/round number)¶
- bestconf.properties
- SUTconfig.properties
Step 5. Start BestConfig¶
Now, you can start BestConfig. BestConfig will automatically run the tuning process without any requirement for user interferences, until the tuning process ends due to resource exhaustion or unhandlable environment errors.
BestConfig will output the best configuration setting into files once the tuning is done.
Implementing your own sampling/tuing algorithms for BestConfig¶
You can also choose to extend and tailor BestConfig for your specific use cases using your own sampling/tuning algorithms.
- To implement your own sampling algorithms –> Extend the
- abstract class of ConfigSampler
- To implement your own tuning algorithms –> Implement the
- interface of Optimization


Kepler-62e is a super-Earth exoplanet discovered in orbit around the star Kepler-62, the second outermost of five such planets discovered by NASA’s Kepler spacecraft.


This example shows how Quadtrees can be used for many-to-many checks. All objects can collide with each other.
Two loops are neccessary to first insert all objects into the tree [2]
and then check each object for collisions [3]
.
var myTree = new Quadtree({
x: 0,
y: 0,
width: 640,
height: 480
});
function loop() {
//[1] First, we will clear the quadtree with every game loop.
//This is neccessary to keep the tree clean and accurate
//(due to its recursive nature).
myTree.clear();
//[2] Then we will update the positions of all objects
//and re-insert them into the tree.
for(var i=0;i<myObjects.length;i++) {
myObjects[i].x += myObjects[i].vx;
myObjects[i].y += myObjects[i].vy;
myTree.insert(myObjects[i]);
}
//[3] Now we loop over all objects again …
for(var i=0;i<myObjects.length;i++) {
var myObject = myObjects[i];
//[4] … and retrieve all objects from the same tree node
var candidates = myTree.retrieve(myObject);
//[5] Check all collision candidates
for(k=0;k<candidates.length;k++) {
var myCandidate = candidates[k];
//[6] since all objects are inside the tree,
//we will also retrieve the current object itself.
//That's a collision case we want to skip.
if(myObject === myCandidate) continue;
//[7] check each candidate for real intersection
var intersect = getIntersection(myObject, myCandidate);
//[8] if they actually intersect, we can take further
//actions. In this script, colliding objects will turn
//green and change velocity
if(intersect) {
// … take actions
}
}
}
//[9] finally, draw all objects and the quadtree
drawQuadtree(myTree);
drawObjects();
//request next frame
requestAnimFrame(loop);
}
To see the full example code please check the page source or visit github.
Collision detection is beyond the scope of quadtree-js – this example uses a very basic collision algorithm that is not bullet-proof and won't fit all cases. Please research a collision system that will work for you.
The collision code in this example is based on Metanet's N Game Collision Tutorial, which may be a starting point if you are new to collision detection. There are many great tutorials out there.


Product Availability
Order Confirmation
Order of {{orderConfirmation.SOH}} received at the {{orderConfirmation.StoreLocation}} location.
Your confirmation number is: {{orderConfirmation.OrderNumber}}


Author: Alex
Ingredients:
2 pounds beef shank, room temperature
Olive oil
Seasoned salt
Demi-glace sauce
2 medium-sized potatoes, shredded
(3.5-ounce package) frozen spinach
3 black olives, sliced
1 teaspoon salt
1 cup shredded cheese
2 cloves garlic, minced
1/2 onion, sliced
Cooking Instructions:
- Preheat oven to 390 degrees.
- In a frying pan set over medium heat, add olive oil. Cook the entire outer surface of the beef shank.
- Cut away one side and make notches in the middle. Flip inside out to cook the other side.
- In a separate pan, heat olive oil and add garlic. Cook until fragrant, then add onions. Stir to combine, then add potatoes, spinach, olives, salt and cheese. Cook until cheese has melted, then transfer filling into pocket of beef shank. Place beef on a baking sheet lined with aluminum foil. Use cooking string to seal the pocket, tying the roast together. Season outside of beef with seasoned salt.
- Bake for 30 minutes.
HINT: Remember to remove the strings, no one likes strings in their food.


The {avocado} package consists of three different datasets that summarize the weekly sales of Hass Avocados at different regional levels.
hass_usa
: weekly contiguous US avocado sales at the country levelhass_region
: weekly contiguous US avocado sales at the region levelhass
: weekly contiguous US avocado sales at the city/sub-region levelThe product/price lookup code (PLU) uniquely identifies a product (mainly produce). The Hass Avocado Board focuses on six different PLUs:
Another distinction that the HAB makes is between bags versus bulk. Bulk typically means avocados sold as individual pieces and are easily distinguishable with their PLU codes. Hence, the PLU refers to a bulk sale. On the other hand, the bags indicates a pre-packaged container consisting of a variable number of avocados of mixed PLU type. For instance, a package of six avocados may consist of 2 PLU 4046, 3 PLU 4770 and 1 PLU 4225. In other words, bagged sales are unable to account for individual PLU sales.
The hass_region
and hass
datasets contain a shared variable called region
and the hass
dataset has a variable called location
. Regions are defined by the Hass Avocado Board and Locations are selected cities or sub-regions that are part of the overall Region. The totals found for all locations within a Region will not equal the total found for the specific Region due to the aforementioned point. For convenience, here is a breakdown of the Regions and Locations:
The hass_usa
dataset focuses on weekly Hass Avocado sales at the country (i.e., contiguous US) level and consists of the following fields:
week_ending
: The date of the last day of the week in YYYY-MM-DD formatavg_price_nonorg
: The average selling price in US$ for non-organic Hass avocados. Not adjusted for inflationplu4046
: The amount of PLU 4046 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUsplu4225
: The amount of PLU 4225 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUsplu4770
: The amount of PLU 4770 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUssmall_nonorg_bag
: The amount of non-organic Hass avocados (they can be a mix of PLUs) sold in small pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadoslarge_nonorg_bag
: The amount of non-organic Hass avocados (they can be a mix of PLUs) sold in large pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadosxlarge_nonorg
-bag: The amount of non-organic Hass avocados (they can be a mix of PLUs) sold in extra-large pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadosavg_price_org
: The average selling price in US$ for organic Hass avocados. Not adjusted for inflationplu94046
: The amount of PLU 94046 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUsplu94225
: The amount of PLU 94225 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUsplu94770
: The amount of PLU 94770 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUssmall_org_bag
: The amount of organic Hass avocados (they can be a mix of PLUs) sold in small pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadoslarge_org_bag
: The amount of organic Hass avocados (they can be a mix of PLUs) sold in large pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadosxlarge_org_bag
: The amount of organic Hass avocados (they can be a mix of PLUs) sold in extra-large pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadoslibrary(avocado)
data('hass_usa')
dplyr::glimpse(hass_usa)
#> Rows: 197
#> Columns: 15
#> $ week_ending <dttm> 2017-01-02, 2017-01-08, 2017-01-15, 2017-01-22, 20…
#> $ avg_price_nonorg <dbl> 0.89, 0.99, 0.98, 0.94, 0.96, 0.77, 0.87, 0.99, 0.9…
#> $ plu4046 <dbl> 12707895, 11809728, 12936858, 14254150, 14034076, 2…
#> $ plu4225 <dbl> 14201201, 13856935, 12625665, 14212882, 11683465, 2…
#> $ plu4770 <dbl> 549844.6, 539068.4, 579346.5, 908616.4, 818727.0, 1…
#> $ small_nonorg_bag <dbl> 8551134, 9332972, 9445622, 9462854, 9918256, 125671…
#> $ large_nonorg_bag <dbl> 2802709, 2432259, 2638918, 3231020, 2799961, 361827…
#> $ xlarge_nonorg_bag <dbl> 66933.73, 78840.96, 69077.52, 70871.48, 119095.66, …
#> $ avg_price_org <dbl> 1.48, 1.43, 1.44, 1.37, 1.43, 1.36, 1.41, 1.31, 1.2…
#> $ plu94046 <dbl> 99820.77, 117721.87, 121132.79, 115700.02, 131808.2…
#> $ plu94225 <dbl> 273329.61, 283532.68, 280287.84, 281786.33, 292584.…
#> $ plu94770 <dbl> 4425.75, 8697.35, 8750.08, 6707.82, 3524.96, 2238.7…
#> $ small_org_bag <dbl> 273456.00, 379088.19, 400292.46, 401805.90, 346391.…
#> $ large_org_bag <dbl> 157939.75, 201681.74, 165261.11, 188282.91, 178896.…
#> $ xlarge_org_bag <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
The hass_region
dataset focuses on weekly US Hass Avocado sales at the region level and consist of the following fields:
region
: Specific region within the US as defined by the Hass Avocado Boardweek_ending
: The date of the last day of the week in YYYY-MM-DD formatavg_price_nonorg
: The average selling price in US$ for non-organic Hass avocados. Not adjusted for inflationplu4046
: The amount of PLU 4046 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUsplu4225
: The amount of PLU 4225 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUsplu4770
: The amount of PLU 4770 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUssmall_nonorg_bag
: The amount of non-organic Hass avocados (they can be a mix of PLUs) sold in small pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadoslarge_nonorg_bag
: The amount of non-organic Hass avocados (they can be a mix of PLUs) sold in large pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadosxlarge_nonorg
-bag: The amount of non-organic Hass avocados (they can be a mix of PLUs) sold in extra-large pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadosavg_price_org
: The average selling price in US$ for organic Hass avocados. Not adjusted for inflationplu94046
: The amount of PLU 94046 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUsplu94225
: The amount of PLU 94225 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUsplu94770
: The amount of PLU 94770 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUssmall_org_bag
: The amount of organic Hass avocados (they can be a mix of PLUs) sold in small pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadoslarge_org_bag
: The amount of organic Hass avocados (they can be a mix of PLUs) sold in large pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadosxlarge_org_bag
: The amount of organic Hass avocados (they can be a mix of PLUs) sold in extra-large pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadoslibrary(avocado)
data('hass_region')
dplyr::glimpse(hass_region)
#> Rows: 1,576
#> Columns: 16
#> $ week_ending <dttm> 2017-01-02, 2017-01-02, 2017-01-02, 2017-01-02, 20…
#> $ region <chr> "California", "Great Lakes", "Midsouth", "Northeast…
#> $ avg_price_nonorg <dbl> 0.89, 0.88, 1.12, 1.35, 0.83, 0.64, 0.94, 0.79, 1.0…
#> $ plu4046 <dbl> 2266313.4, 636277.7, 653896.0, 174842.6, 1462454.2,…
#> $ plu4225 <dbl> 2877688.3, 2157249.6, 1285364.3, 2589315.7, 509659.…
#> $ plu4770 <dbl> 90899.53, 189356.95, 64703.08, 39606.96, 4780.52, 2…
#> $ small_nonorg_bag <dbl> 1762033.7, 885769.2, 719379.6, 659611.8, 387098.0, …
#> $ large_nonorg_bag <dbl> 151333.95, 349032.80, 151226.51, 49532.71, 13008.21…
#> $ xlarge_nonorg_bag <dbl> 27007.76, 7559.14, 4398.04, 478.61, 5742.12, 16334.…
#> $ avg_price_org <dbl> 1.46, 1.44, 1.72, 2.00, 1.62, 1.23, 1.43, 1.19, 1.5…
#> $ plu94046 <dbl> 31267.65, 4104.86, 3353.64, 9132.13, 4547.17, 22474…
#> $ plu94225 <dbl> 65430.27, 69800.29, 36090.72, 36276.39, 15245.73, 4…
#> $ plu94770 <dbl> 6.16, 0.00, 1813.60, 923.53, 1366.36, 17.37, 262.28…
#> $ small_org_bag <dbl> 50963.98, 23593.03, 29203.33, 65447.53, 17253.74, 3…
#> $ large_org_bag <dbl> 16468.98, 6655.73, 1826.50, 3476.51, 8629.21, 1968.…
#> $ xlarge_org_bag <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
The hass
dataset summarizes weekly Hass Avocado sales within the contiguous US based on city or sub-region. These areas are defined by the HAB and make up portions of the region
field in the haas_region
dataset. The fields are:
location
: Specific location within a region of the US. These locations enable a further deep-dive into avocado sales within a regionregion
: Specific region within the US as defined by the Hass Avocado Boardweek_ending
: The date of the last day of the week in YYYY-MM-DD formatavg_price_nonorg
: The average selling price in US$ for non-organic Hass avocados. Not adjusted for inflationplu4046
: The amount of PLU 4046 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUsplu4225
: The amount of PLU 4225 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUsplu4770
: The amount of PLU 4770 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUssmall_nonorg_bag
: The amount of non-organic Hass avocados (they can be a mix of PLUs) sold in small pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadoslarge_nonorg_bag
: The amount of non-organic Hass avocados (they can be a mix of PLUs) sold in large pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadosxlarge_nonorg
-bag: The amount of non-organic Hass avocados (they can be a mix of PLUs) sold in extra-large pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadosavg_price_org
: The average selling price in US$ for organic Hass avocados. Not adjusted for inflationplu94046
: The amount of PLU 94046 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUsplu94225
: The amount of PLU 94225 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUsplu94770
: The amount of PLU 94770 Hass avocados sold by weight in US pounds. This does not include avocados sold in pre-packaged quantities. See vignette for more information about Hass PLUssmall_org_bag
: The amount of organic Hass avocados (they can be a mix of PLUs) sold in small pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadoslarge_org_bag
: The amount of organic Hass avocados (they can be a mix of PLUs) sold in large pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadosxlarge_org_bag
: The amount of organic Hass avocados (they can be a mix of PLUs) sold in extra-large pre-packaged containers/bags in US pounds. This does not include avocados sold individually. See vignette for more information about pre-packaged avocadoslibrary(avocado)
data('hass')
dplyr::glimpse(hass)
#> Rows: 8,865
#> Columns: 17
#> $ week_ending <dttm> 2017-01-02, 2017-01-02, 2017-01-02, 2017-01-02, 20…
#> $ location <chr> "Albany", "Atlanta", "Baltimore/Washington", "Boise…
#> $ region <chr> "Northeast", "Southeast", "Midsouth", "West", "Nort…
#> $ avg_price_nonorg <dbl> 1.47, 0.93, 1.47, 0.92, 1.29, 1.43, 1.21, 1.15, 0.6…
#> $ plu4046 <dbl> 4845.77, 224073.54, 54530.42, 27845.16, 4119.90, 12…
#> $ plu4225 <dbl> 117027.41, 118926.37, 408952.26, 9408.92, 371223.34…
#> $ plu4770 <dbl> 200.36, 337.48, 14387.01, 11341.75, 3933.72, 102.52…
#> $ small_nonorg_bag <dbl> 7866.86, 111599.58, 151345.59, 53093.47, 79339.78, …
#> $ large_nonorg_bag <dbl> 7.83, 92628.91, 2542.41, 2793.61, 213.75, 255.65, 1…
#> $ xlarge_nonorg_bag <dbl> 0.00, 0.00, 3.12, 27.20, 0.00, 18.06, 46.67, 5089.3…
#> $ avg_price_org <dbl> 1.87, 1.81, 1.92, 1.05, 2.06, 1.64, 1.70, 1.34, 1.2…
#> $ plu94046 <dbl> 71.65, 956.73, 1420.47, 0.00, 14.80, 8.52, 120.83, …
#> $ plu94225 <dbl> 192.63, 2862.95, 6298.07, 368.63, 2181.53, 320.56, …
#> $ plu94770 <dbl> 0.00, 0.00, 325.44, 0.00, 0.00, 0.00, 489.12, 0.00,…
#> $ small_org_bag <dbl> 1112.42, 5.55, 5857.48, 577.91, 10636.25, 2585.10, …
#> $ large_org_bag <dbl> 0.00, 1517.62, 0.00, 1877.28, 605.64, 511.31, 353.9…
#> $ xlarge_org_bag <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …


Beta This is a test version of the layout of this page. Take the survey to help us improve it
Research and analysis
This survey aimed to assess the quality of newly qualified teachers' training and how well it prepared them for their first teaching post.
From February to May 2010, the Training and Development Agency for Schools (TDA) surveyed newly qualified teachers (NQTs) who had successfully completed their initial teacher training (ITT) in England during the 2008/09 academic year.
The survey aimed to assess the quality of their training and how well it prepared them for their first teaching post, and to identify the pre-initial teacher training activities they took part in and their importance in influencing them to go into teaching.
Around 12,500 NQTs completed and returned their questionnaires, a response rate of 39%. The NQTs who responded were broadly representative of the total NQT population (approximately 33,500) who were awarded qualified teacher status (QTS) in 2008/09.
Visit the DfE website for more information


pg_isready - check the connection status of a PostgreSQL server
pg_isready [connection-option...] [option...]
pg_isready is a utility for checking the connection status of a PostgreSQL database server. The exit status specifies the result of the connection check.
-d dbname
--dbname=dbname
Specifies the name of the database to connect to.
If this parameter contains an = sign or starts with a valid URI prefix (postgresql:// or postgres://), it is treated as a conninfo string. See Section 31.1.1, (lqConnection Strings(rq, in the documentation for more information.
-h hostname
--host=hostname
Specifies the host name of the machine on which the server is running. If the value begins with a slash, it is used as the directory for the Unix-domain socket.
-p port
--port=port
Specifies the TCP port or the local Unix-domain socket file extension on which the server is listening for connections. Defaults to the value of the PGPORT environment variable or, if not set, to the port specified at compile time, usually 5432.
-q
--quiet
Do not display status message. This is useful when scripting.
-t seconds
--timeout=seconds
The maximum number of seconds to wait when attempting connection before returning that the server is not responding. Setting to 0 disables. The default is 3 seconds.
-U username
--username=username
Connect to the database as the user username instead of the default.
-V
--version
Print the pg_isready version and exit.
-?
--help
Show help about pg_isready command line arguments, and exit.
pg_isready returns 0 to the shell if the server is accepting connections normally, 1 if the server is rejecting connections (for example during startup), 2 if there was no response to the connection attempt, and 3 if no attempt was made (for example due to invalid parameters).
pg_isready, like most other PostgreSQL utilities, also uses the environment variables supported by libpq (see Section 31.14, (lqEnvironment Variables(rq, in the documentation).
It is not necessary to supply correct user name, password, or database name values to obtain the server status; however, if incorrect values are provided, the server will log a failed connection attempt.
Standard Usage:
$ pg_isready /tmp:5432 - accepting connections $ echo $? 0
Running with connection parameters to a PostgreSQL cluster in startup:
$ pg_isready -h localhost -p 5433 localhost:5433 - rejecting connections $ echo $? 1
Running with connection parameters to a non-responsive PostgreSQL cluster:
$ pg_isready -h someremotehost someremotehost:5432 - no response $ echo $? 2


--- layout: post title: Mirror, Mirror, (Finally) on the Wall date: 2011-09-20 00:27:38.000000000 -04:00 categories: - Renovations (Renos 101!) tags: - Before and after - Before and after photos - Renovations status: publish type: post published: true meta: aktt_notify_twitter: 'no' _edit_last: '1' dsq_thread_id: '1188591818' author: login: cint email<EMAIL_ADDRESS>display_name: Jacinta first_name: Jacinta last_name: '' ---
Now these renovations of ours are going very slowly. But I am happy to say Greg finally got around to hanging a mirror in our diningroom. The mirror waited very patiently under our bed (out of reach of busy little hands) for many months. I love how it has added a bit of life to the bricks of our chimney. Sometimes it is the little jobs that make all the difference. Jacinta x
[caption id="attachment_1188" align="aligncenter" width="796" caption="Before"][/caption]
[caption id="attachment_1189" align="aligncenter" width="708" caption="After"][/caption]


Billing¶
BlazingSQL Notebooks offers you a simple and friendly interface to buy credits so you can start working on private clusters with ease.
Credits¶
Credits are the currency of Blazing Notebooks. By purchasing credits you gain access to the easiest way to launch GPU clusters with up to 64 GPUs (see private clusters).
Available credits¶
On the top of the BlazingSQL Notebooks app page, a current total number of remaining credits is always visible. As long as you have some credits available you can create and use private clusters on Blazing Notebooks.
Purchasing credits¶
Purchasing credits requires only two steps:
Select how many credits you want to buy.
Enter you credit card information and click on Pay button.
Once the transaction is verified you will see the confirmation message.
Having successfully finalize the transaction, the Available credits will be updated with the additional amount you just purchased.
Tracking spending¶
Blazing Notebooks provide provide capabilities for you to track your spending. Once logged into Blazing Notebooks select the credits from the sidebar.
This first view shows the usage per day in a selected month (December in the example below). The view defaults to the current month.
The second view shows the information related to the credits used per session in the selected month. The view defaults to the current month.
Finally, in the last view shows the total used credits and the time used (in minutes) per day.


{% set jam = invitation.team.jam %} {% extends "jam/base.html" %} {% block title %}Invitation to {{ invitation.team.name }}{% endblock %} {% block content %}
You were invited to the team {{ invitation.team.name }}. You can either accept or decline this invitation.
{% set current_team = current_user.get_team(invitation.team.jam) %} {% if current_team %}Notice that you will leave your current team ({{ current_team.name }}). If there is no user left in that team, it is PERMANENTLY DELETED, including all games, invitations and other team-related data.
You will have to join a team before the packaging phase of the game jam ends. After packaging, team joining is disabled.
{% else %}You are not yet registered for participation in {{ jam.title }}. This is required to join a team. Please register first and return to this page.
{% endif %}This is the invitation for {{ invitation.user.get_link() }} to your team {{ invitation.team.name }}.
To accept this invitation, the user has to visit this page, where they will be asked to confirm the invitation. This invitation is personalized, so only the selected user can accept it, while logged in.
{% if not invitation.user.notify_team_invitation %}Since the user has disabled eMail notifications for Invitations, make sure they receive this page's link some other way:
{% endif %} {% endif %}


{{fetchData3}}
Employee's
{{fetchData2}}
Login Count
{{fetchData1}}
Reject Count
{{fetchData5}}
Disbursed Count
Employee Data
Data Entry


Search wikipedia with autocomplete
Combine three film streams into one
People Paging
People with home planets, using forkJoin
People Finding
Filtering results and lazy loading images


CIFER API Framework 01
ciferproject-org-framework-api-v1-draft-01
The CIFER API Framework gives a consistant look, feel, syntax and nomenclature to all of the various CIFER resource representations.
This Internet-Draft is submitted in full conformance with the provisions of BCP 78 and BCP 79.
Internet-Drafts are working documents of the Internet Engineering Task Force (IETF). Note that other groups may also distribute working documents as Internet-Drafts. The list of current Internet-Drafts is at http://datatracker.ietf.org/drafts/current/.
Internet-Drafts are draft documents valid for a maximum of six months and may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use Internet-Drafts as reference material or to cite them other than as "work in progress."
This Internet-Draft will expire on November 1, 2014.
Copyright (c) 2014 IETF Trust and the persons identified as the document authors. All rights reserved.
This document is subject to BCP 78 and the IETF Trust's Legal Provisions Relating to IETF Documents (http://trustee.ietf.org/license-info) in effect on the date of publication of this document. Please review these documents carefully, as they describe your rights and restrictions with respect to this document. Code Components extracted from this document must include Simplified BSD License text as described in Section 4.e of the Trust Legal Provisions and are provided without warranty as described in the Simplified BSD License.
1. Introduction
The [CIFER] initiative includes work to define a set of shared APIs for core functions in identity and access management. One desired feature of such systems is a consistancy tructure and vocabulary of API URLs and representations.
2. Definitions
- RESTful
- This framework references Representational State Transfer (REST), where a service is composed of an addressable set of resources. URIs are used to address resources and transitions of a resources state are accomplished by direct, stateless client interactions with these URIs.
- Clients of the service may:
-
- Search for resources,
- Get a representation of a resource,
- Add or replace a resource, and
- Delete a resource.
3. Requirements Language
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in RFC 2119 [RFC2119].
4. Authentication and Authorization
The framework does not specify authentication or authentication methods. Some acceptable methods include:
- Basic auth over https
- Client certificate auth over https
- Encrypted and signed content over any transport
5. API Conventions
5.1. Grammar and Format Constraints
A major version of a particular CIFER API must be indicated in the URI path (for example, "/v2/"). A major version will differentiate incompatible representations, parameters or headers. A major version change is also indicated by a change in field type. Any minor version will be indicated in the response metadata not in the URI path (see response section below).
5.1.2. Request/response grammar
- Default representation language is Javascript Object Notation (JSON).
- XML can be requested, but support is not required.
5.1.3. Data and field formats
- Character set is Unicode, encoded as UTF-8.
- imestamp representations will comply with ISO 8601. For example: 2012-10-04T03:10:14.123Z
- Durations also comply with ISO 8601, For example: P1.81S
- Field names are camelCase (including acronyms), e.g. "selfUri"
- Where there is discretion enum and other fixed field values should be camelCase.
- Field names must start with a letter. They can contain upper/lower letters, numbers and underscores.
- Field types must stay consistent within a major version.
- Objects are identified by uri
- For example: netId:mchyzer, or userId:12345678
5.2. Requests
5.2.1. Resource references
CIFER APIs accommodate large responses by recognizing full and partial resources.
- A full resource, where the response is the full resource requested, must be identified by a URI only, not by query string or fragment.
- A partial resource, like a response that is better served across pages, is identified by a URI that contains at least one additional query string parameter (see paging options in query string options section below).
5.2.2. Request methods
- The request method of POST overridden by a header (see header options below).
- A PUT request need not specify all attributes.
- Replacing a resource will not affect attributes not specified in the request.
- A necessary attribute not specified will return an error 400 (see response codes below).
- Searches return resource URIs and default resource attributes.
- Each service will document the fields returns on searches.
- Searches may request "&extraFields=field3,field4,..&" to get those fields in addition to the default set.
- Searches may request "&omitFields=field3,field4,..&" to omit those fields from the default set.
- Support for these features is optional.
- Searches may specify paging options by QS parameters
- pageLimit: Number of entries per page
- pageOffset: page number, first page is zero
5.2.3. Header Options
- The request method of POST may be overridden by the header:
- X-HTTP-Method-Override: GET | PUT | DELETE
- XML representation may requested by header:
- Use of ETag and If-Match:
- A request to replace a resource must specify an If-Match header.
- The value must match the resource's current ETag value, or
- The value may be a 'match-any' wildcard, '*'
- Acceptance of wildcard is service dependent.
- A request to add a resource must not specify an If-Match header.
- A client may request to "act as" another user via a header:
5.2.4. Query string options
- Requests may specify field filters on returned resources.
- Query string may specify a list desired fields: "&fields=field1,field2,...&"
- A requests for an unknown field is not an error.
- Support for this features is optional.
- Requests for large resources, e.g. group membership, may specify paging parameters
- sortField:
- sortOrder: 'a*', 'd*', case insensitive
- pageLimit: number of entries per page, zero means no paging
- Mutually exclusive page start:
- pageOffset: page number, starting with zero, OR
- pageStartValue: first value returned will be the one AFTER this value
- The service may provide default paging parameters, and may reduce the requested limits.
- Boolean parameters are generously interpreted:
- true|false, or t|f or yes|no, or y|n or 1|0, case insensitive
- A client may request a pretty-printed response with the query string, "indent=true".
- Unexpected Query String parameters will be ignored.
5.3. Request methods
While most browser facing web sites are nowadays discoverable from the root resource, there never was a time when an application could be completely discovered through its API.
- The complexity of resources, authorizations, capabilities, and interactions requires, often extensive, external documentation of the application.
- To be efficient a client often must be able to directly address a resource.
These considerations indicate that a root resource, with links to version resources, with links to other resource URLs will in almost all cases be bypassed by clients. User readable API documentation will specify direct, if relative, links directly to most of the individual resources.
The framework does not specify these root and directory representations, except that they follow the general request and response guidelines. A root page may be used to provide general information about the application instance: what version it supports; whether or not it supports XML representation; etc.
5.4. Responses
5.4.1. Response structure
Resources are returned along with metadata about the resource and metadata about the response (see JSON examples that follow)
- Resources are wrapped in an object which contains:
- resource: The actual resource for the request.
- resourceMetadata: metadata about the resource. fields as appropriate to the resource
- lastModified: timestamp when the resource was modified
- selfUri: URI to the current resource.
- ETag, or equivalent, for resources that can be replaced, ...
- responseMetadata: metadata about this particular response
- responseTimestamp:
- responseTime: time that the server took in processing this request
- requestCommentary: freeform text about the request that the server processed (for debug)
- httpStatusCode: response status as an HTTP status code.
- serverVersion: major.minor server version number
- paging parameters
- pageLimit
- pageOffest
- sortField
- pageOffsetValue
- sortOrder
5.4.2. Response codes
- 200: the resource was found
- 201: the resource was created
- 400: the request was not valid
- 401: the client was unauthenticated
- 403: an authenticated client was not authorized for the request
- 409: (conflict)
- PUT to an existing resource without an If-Match
- 412: (precondition failed)
- If-Match header did not match resource's ETag, or
- If-Match header supplied but resource not found (add with an if-match), or
- wildcard if-match not allowed
- 500: server error
6. Examples
6.1. Site directory
What might be returned by a top-level GET to a service.
{
"resource":{
"people": "/people",
"places": "/places"
},
"resourceMetadata":{
"lastModified":"2012-11-04T09:57:03.541Z",
"baseUri":"https://example.u.edu/ppservice/v1/",
},
"responseMeta":{
"responseTimestamp":"2013-07-04T09:57:03.541Z",
"httpStatusCode":200,
"responseTime":"P0.011S"
"serverVersion":"1.1"
}
}
6.2. Search response
What might be returned by a search GET to a service.
{
"resource":[
{"uuid": "3ac85497-1663-4ef4-9933-3df8bc7800bc",
"lastName": "Doe",
"givenName": "John A.",
"address": { ... }
"status": "something",
"uri": "/v1/people/3ac85497-1663-4ef4-9933-3df8bc7800bc"
},
{"uuid": "3ac85497-1663-4ef4-9933-3df8bc7800cc",
"lastName": "Doe",
"givenName": "John B.",
"address": { ... }
"status": "something",
"uri": "/v1/people/3ac85497-1663-4ef4-9933-3df8bc7800cc"
},
],
"resourceMetadata":{
"baseUri":"https://example.u.edu/ppservice",
"sortOrder":"a",
"pageLimit":100,
"pageOffset":0,
"sortField":"name",
"statusCode":"SUCCESS",
},
"responseMeta":{
"responseTimestamp":"2013-07-04T09:57:03.541Z",
"httpStatusCode":200,
"responseTime":"P0.011S"
"serverVersion":"1.1"
}
}
This memo includes no request to IANA.
The API framework does not specify how services identify their clients.
This document was produced by the CIFER Shared API work team. People who made particular contributions to the work include Jim Fox, Keith Hazelton, Chris Hyzer, Benn Oshrin, Jonathan Pass and Jimmy Vuccolo
10. References
10.1. Normative References
10.2. Informative References
Jim Fox (editor)
Fox
ciferproject.org
4333 Brooklyn Ave NE
Seattle,
Washington
98195
US
Phone: +1<PHONE_NUMBER>
EMail: fox@uw.edu


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By using HTML CSS and JAVAScript,we create beautiful pages which can be shown directly on your browser,usually based on WebStorm or PHPStorm.Good promoting pages persuade people to buy the production,on the other hand,it can also raise the profile for your company.


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KratosMultiphysics
KRATOS Multiphysics (Kratos) is a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface.
|
Total Lagrangian mixed displacement volumetric strain formulation element. More...
#include <total_lagrangian_mixed_volumetric_strain_element.h>
Public Member Functions | |
| void | EquationIdVector (EquationIdVectorType &rResult, const ProcessInfo &rCurrentProcessInfo) const |
| void | EquationIdVector (EquationIdVectorType &rResult, const ProcessInfo &rCurrentProcessInfo) const |
| void | GetDofList (DofsVectorType &rElementalDofList, const ProcessInfo &rCurrentProcessInfo) const |
| void | GetDofList (DofsVectorType &rElementalDofList, const ProcessInfo &rCurrentProcessInfo) const |
| void | CalculateLocalSystem (MatrixType &rLeftHandSideMatrix, VectorType &rRightHandSideVector, const ProcessInfo &rCurrentProcessInfo) |
| void | CalculateLocalSystem (MatrixType &rLeftHandSideMatrix, VectorType &rRightHandSideVector, const ProcessInfo &rCurrentProcessInfo) |
| void | CalculateLeftHandSide (MatrixType &rLeftHandSideMatrix, const ProcessInfo &rCurrentProcessInfo) |
| void | CalculateLeftHandSide (MatrixType &rLeftHandSideMatrix, const ProcessInfo &rCurrentProcessInfo) |
| void | CalculateRightHandSide (VectorType &rRightHandSideVector, const ProcessInfo &rCurrentProcessInfo) |
| void | CalculateRightHandSide (VectorType &rRightHandSideVector, const ProcessInfo &rCurrentProcessInfo) |
| void | EquationIdVector (EquationIdVectorType &rResult, const ProcessInfo &rCurrentProcessInfo) const |
| void | EquationIdVector (EquationIdVectorType &rResult, const ProcessInfo &rCurrentProcessInfo) const |
| void | GetDofList (DofsVectorType &rElementalDofList, const ProcessInfo &rCurrentProcessInfo) const |
| void | GetDofList (DofsVectorType &rElementalDofList, const ProcessInfo &rCurrentProcessInfo) const |
| void | CalculateLocalSystem (MatrixType &rLeftHandSideMatrix, VectorType &rRightHandSideVector, const ProcessInfo &rCurrentProcessInfo) |
| void | CalculateLocalSystem (MatrixType &rLeftHandSideMatrix, VectorType &rRightHandSideVector, const ProcessInfo &rCurrentProcessInfo) |
| void | CalculateLeftHandSide (MatrixType &rLeftHandSideMatrix, const ProcessInfo &rCurrentProcessInfo) |
| void | CalculateLeftHandSide (MatrixType &rLeftHandSideMatrix, const ProcessInfo &rCurrentProcessInfo) |
| void | CalculateRightHandSide (VectorType &rRightHandSideVector, const ProcessInfo &rCurrentProcessInfo) |
| void | CalculateRightHandSide (VectorType &rRightHandSideVector, const ProcessInfo &rCurrentProcessInfo) |
Total Lagrangian mixed displacement volumetric strain formulation element.
This implements an ASGS stabilized total Lagrangian element mixed formulation. The nodal DOFs are the displacement and the volumetric strain, which is defined as 1 minus the Jacobian determinant. This is a strain-driven formulation, meaning that it can be used in combination with any constitutive model, including (almost) incompressible materials. Note that the ASGS stabilization is specifically designed for linear triangle and tetrahedra. Also note that the volumetric strain definition in the formulation implies that the plane stress case cannot be considered in 2D.
| void TotalLagrangianMixedVolumetricStrainElement< 2 >::CalculateLeftHandSide | ( | MatrixType & | rLeftHandSideMatrix, |
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) |
| void TotalLagrangianMixedVolumetricStrainElement< 3 >::CalculateLeftHandSide | ( | MatrixType & | rLeftHandSideMatrix, |
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) |
| void TotalLagrangianMixedVolumetricStrainElement< 2 >::CalculateLeftHandSide | ( | MatrixType & | rLeftHandSideMatrix, |
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) |
| void TotalLagrangianMixedVolumetricStrainElement< 3 >::CalculateLeftHandSide | ( | MatrixType & | rLeftHandSideMatrix, |
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) |
| void TotalLagrangianMixedVolumetricStrainElement< 2 >::CalculateLocalSystem | ( | MatrixType & | rLeftHandSideMatrix, |
| VectorType & | rRightHandSideVector, | ||
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) |
| void TotalLagrangianMixedVolumetricStrainElement< 3 >::CalculateLocalSystem | ( | MatrixType & | rLeftHandSideMatrix, |
| VectorType & | rRightHandSideVector, | ||
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) |
| void TotalLagrangianMixedVolumetricStrainElement< 2 >::CalculateLocalSystem | ( | MatrixType & | rLeftHandSideMatrix, |
| VectorType & | rRightHandSideVector, | ||
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) |
| void TotalLagrangianMixedVolumetricStrainElement< 3 >::CalculateLocalSystem | ( | MatrixType & | rLeftHandSideMatrix, |
| VectorType & | rRightHandSideVector, | ||
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) |
| void TotalLagrangianMixedVolumetricStrainElement< 2 >::CalculateRightHandSide | ( | VectorType & | rRightHandSideVector, |
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) |
| void TotalLagrangianMixedVolumetricStrainElement< 3 >::CalculateRightHandSide | ( | VectorType & | rRightHandSideVector, |
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) |
| void TotalLagrangianMixedVolumetricStrainElement< 2 >::CalculateRightHandSide | ( | VectorType & | rRightHandSideVector, |
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) |
| void TotalLagrangianMixedVolumetricStrainElement< 3 >::CalculateRightHandSide | ( | VectorType & | rRightHandSideVector, |
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) |
| void TotalLagrangianMixedVolumetricStrainElement< 2 >::EquationIdVector | ( | EquationIdVectorType & | rResult, |
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) | const |
| void TotalLagrangianMixedVolumetricStrainElement< 3 >::EquationIdVector | ( | EquationIdVectorType & | rResult, |
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) | const |
| void TotalLagrangianMixedVolumetricStrainElement< 2 >::EquationIdVector | ( | EquationIdVectorType & | rResult, |
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) | const |
| void TotalLagrangianMixedVolumetricStrainElement< 3 >::EquationIdVector | ( | EquationIdVectorType & | rResult, |
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) | const |
| void TotalLagrangianMixedVolumetricStrainElement< 2 >::GetDofList | ( | DofsVectorType & | rElementalDofList, |
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) | const |
| void TotalLagrangianMixedVolumetricStrainElement< 3 >::GetDofList | ( | DofsVectorType & | rElementalDofList, |
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) | const |
| void TotalLagrangianMixedVolumetricStrainElement< 2 >::GetDofList | ( | DofsVectorType & | rElementalDofList, |
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) | const |
| void TotalLagrangianMixedVolumetricStrainElement< 3 >::GetDofList | ( | DofsVectorType & | rElementalDofList, |
| const ProcessInfo & | rCurrentProcessInfo | ||
| ) | const |


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WITNESS LIST
Higher Education Committee
May 4, 2011 - 8:30 AM
On:
Prince, Donald (TX State Guard)
Registering, but not testifying:
For:
Williams, Heather (Texas Public Policy Foundation)
For:
Hill, Mary (Texas Drug Demand Reduction Comm. DSHS)
On:
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On:
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Registering, but not testifying:
On:
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Collins, Steve (University of Texas System)
Kelley, Scott (The University of Texas System)
On:
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1


Hi! I'm from Andorra, but now I'm living in Barcelona as a CS Student at Polytechnic University of Catalonia - BarcelonaTech.
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Introduction to Git and GitHub
23 Feb 2017“Real men use the command line”
Git
Git is a version control system to track changes in files in a computer and allow multiple people to work on those files. It was created by Linus Torvalds 1, in less than 2 weeks.
Why we need git
Simply put, it is like checkpoints in games, and we can fearlessly modify code, without creating a backup, removing the need to do this:
Git is also fully distributive, allowing multiple people to work on a project easily, and maintaining the changes made by them.
Installing git
Git is installed on Debian/Ubuntu, from the package manager by:
sudo apt-get install git
Create a git repository
To create a new git repository, create a new directory, go to the directory via the terminal, and perform a
git init
to create a new git repository
Add changes
After modifying/adding files on the repository, to add the changes made to the files in the staging area, use the git add
command
git add <filename>
To add all changed files to the staged area, use:
git add -A
Creating a checkpoint
Checkpoints in git
is called a commit
, and we use the command git commit
. Basically git commit
records the changes to the repository.
For a single line commit message, this is used:
git commit -m <commit message>
Remotes
The changes in git are made on a local copy of the repository. To communicate this with the outside world, git uses remotes. These are the repositories other than the repository on your local disc where you can push the changes made from the local repository. To create a new remote, named origin (it can be any other name) we use:
git remote add origin <url>
This creates a new remote called origin
located at <url>
. Once this is done, we can just write origin in the push command instead of typing the whole URL.
For more explanations, check footnotes 2
Cloning a repository
Instead of creating a fresh new repository, one may need to work on an already existing repository. For this purpose, cloning a repository comes handy.
git clone <remote_url>
This helps in creating a local copy of the repository present in <remote_url>
. In this case, the remotes will automatically be set.
Branches
Branches in git is used to develop features isolated from each other. Every git repository has a default branch called master
.
Use other branches at the development stage and merge them to master on completion.
To create a new branch and switch to that branch, use:
git checkout -b <branch_name>
To switch back to the master branch, use:
git checkout master
Rather, to switch to any existing branch, use:
git checkout <branch_name>
To delete an existing branch,
git branch -d <branch_name>
Sending your commits
As of now, all your changes are present in your local repository only. To send these changes to the remote repository, git uses push
. The syntax of which looks like:
git push <remote_name> <branch_name>
If you want to send the changes (commits) made on the master
branch on the remote repository described by the origin
remote, use:
git push origin master
HEAD
HEAD
is a reference to the last commit in the currently checked out branch. 3
Diffs
git diff
shows changes between commits, commit and working directory, etc.
To see the uncommitted changes made, use:
git diff
For showing the changes made in the last x
(let it be 3 here) commits 4, use:
git diff HEAD~3..HEAD
By default, git diff
only splits out three lines of context above and below the changes. 5 6 To view the entire file, we use:
git diff --no-prefix -U1000
To save the diff in a file, use:
git diff > patch.diff
View the documentations for more.
Git Structure
The very basic structure of git looks like the following:
Github
Github != git
Github is a company that allows anyone to host their git repositories. Lot’s of major open source projects are hosted on GitHub, the most popular (and the most active) being the Linux Kernel. Many well known companies host their open source projects on GitHub like Google, Facebook to just name a few.
Issues
GitHub has a facility called issues, which allows anyone to file a bug report, problems related to the project or feature requests related to the project. If you are a developer wishing to contribute to the project, look through the issues and try to fix them. Also, look for the labels in each issue, if you are a beginner or willing to work on something specific.
But wait!
You may not have the permission to write on origin
, what then ?
Forks
Forking a repository means you have a copy of one repository on your own profile. You will have write access to your forked repository. Push the changes to the forked repository as a remote.
Protip: Do not fork a repository unless you are going to contribute to it
Pull Requests
To get the original repositories check out your contributions to their project, you need to create a Pull Request. Create a Pull Request to the original repository, describing the changes you have made. The maintainers of the project will review it, and if they are satisfied with the changes, they will merge the Pull Request, and your code will be reflected on the original project.


Age: 1 year
Breed: Maine Coon
He is the newest addition to the family. He’s a 1-year old male Maine Coon and he’s HUGE! He already outweighs his feline brothers by 5 lbs! He’s fitting in well with the family and has lots of personalties!
Age: 6 months
Breed: Rottwailer
Meet Bruce Wayne and he’s definitely the class clown! He’s a 7-month-old male neutered rottweiler that I rescued following nairobi floods. His owners relinquished him to a shelter just before moving upcountry but he had already been neglected for quite some time as he was emaciated! He was also Heartworm positive but we have since treated that and he has a clean bill of health!
#ForPetsSake Animal Shelter is an all-volunteer nonprofit corporation serving Nairobi and beyond. Our mission is to provide a safe haven for the pets, either with a foster family or at an area kennel, until they can be reunited with their owners. Your donation will help us make the world a safer place for neglected animals and pets.


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Functions | |
| def | policy_eval |
| def | policy_iteration |
| def | policyMatrixToVector |
| def | value_iteration |
Variables | |
| tuple | pi_pi_star = policyMatrixToVector(pol_iter_policy[0]) |
| list | PI_pi_star_file = sys.argv[2] |
| tuple | pol_iter_policy = policy_iteration(policy_eval,discount_factor=0.1) |
| tuple | random_policy = np.ones([env.nS, env.nA]) |
| tuple | val_iter_policy = value_iteration(discount_factor=0.1) |
| tuple | vi_pi_star = policyMatrixToVector(val_iter_policy[0]) |
| list | VI_pi_star_file = sys.argv[1] |
| def feeder_offline_training.policy_eval | ( | policy, | |
discount_factor = 1.0 , |
|||
theta = 0.00001 |
|||
| ) |
Evaluate a policy given an environment and a full description of the environment's dynamics. Args: policy: [S, A] shaped matrix representing the policy. env: OpenAI env. env.P represents the transition probabilities of the environment. env.P[s][a] is a list of transition tuples (prob, next_state, reward, done). env.nS is a number of states in the environment. env.nA is a number of actions in the environment. theta: We stop evaluation once our value function change is less than theta for all states. discount_factor: Gamma discount factor. Returns: Vector of length env.nS representing the value function.
Definition at line 19 of file feeder_offline_training.py.
| def feeder_offline_training.policy_iteration | ( | policy_eval_fn = policy_eval , |
|
discount_factor = 1.0 |
|||
| ) |
Policy Improvement Algorithm. Iteratively evaluates and improves a policy until an optimal policy is found. Args: env: The OpenAI envrionment. policy_eval_fn: Policy Evaluation function that takes 3 arguments: policy, env, discount_factor. discount_factor: gamma discount factor. Returns: A tuple (policy, V). policy is the optimal policy, a matrix of shape [S, A] where each state s contains a valid probability distribution over actions. V is the value function for the optimal policy.
Definition at line 53 of file feeder_offline_training.py.
| def feeder_offline_training.policyMatrixToVector | ( | policy | ) |
Definition at line 167 of file feeder_offline_training.py.
| def feeder_offline_training.value_iteration | ( | theta = 0.0001 , |
|
discount_factor = 1.0 |
|||
| ) |
Value Iteration Algorithm. Args: env: OpenAI env. env.P represents the transition probabilities of the environment. env.P[s][a] is a list of transition tuples (prob, next_state, reward, done). env.nS is a number of states in the environment. env.nA is a number of actions in the environment. theta: We stop evaluation once our value function change is less than theta for all states. discount_factor: Gamma discount factor. Returns: A tuple (policy, V) of the optimal policy and the optimal value function.
Definition at line 109 of file feeder_offline_training.py.
| tuple feeder_offline_training.pi_pi_star = policyMatrixToVector(pol_iter_policy[0]) |
Definition at line 198 of file feeder_offline_training.py.
| string feeder_offline_training.PI_pi_star_file = sys.argv[2] |
Definition at line 217 of file feeder_offline_training.py.
| tuple feeder_offline_training.pol_iter_policy = policy_iteration(policy_eval,discount_factor=0.1) |
Definition at line 195 of file feeder_offline_training.py.
Definition at line 200 of file feeder_offline_training.py.
| tuple feeder_offline_training.val_iter_policy = value_iteration(discount_factor=0.1) |
Definition at line 194 of file feeder_offline_training.py.
| tuple feeder_offline_training.vi_pi_star = policyMatrixToVector(val_iter_policy[0]) |
Definition at line 197 of file feeder_offline_training.py.
| string feeder_offline_training.VI_pi_star_file = sys.argv[1] |
Definition at line 216 of file feeder_offline_training.py.


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Joylent dragging ass with 0.12
Not merging PRs
No motion on ES6 features
Core members of the node team splintered off
Started landing the features they wanted
IOJS v3 merged in as Node v4 (LTS)
Node v5 (stable) released
v4 (LTS): focus on stability and security
v5 (stable): focus on active development and APE refinement
Well maybe not everyone
Nothing to see here, webpack's docs are still terrible
Enough of a userbase to find a config that does what you want
Migrated to the Glimmer Render engine
Ember CLI
Build in asset pipeline (leverages Broccoli)
Baked in Babel
Baked in boilerplate
Think of it almost as an ember Yeoman
Incremental DOM updates (just like react)
Supports Server Side rendering (just like react)
Encourages a functional reactive style with top down data flow (just like react)
Support for Dart and Typescript
RIP controllers
RIP Angular Dependency Injection
More heavily component based
Rapid adoption
Seems to have won the framework war
Can now target iOS and android devices with react
No Object C needed
Uses the native JS runtime to render a UI
Builds real native components, no WebView non-sense
RIP: React.createClass
RIP: Mixings
ClojureScript: LISP -> JS
ELM -> JS
Typescript -> JS
Haste: Haskell -> JS
Babel: Old JS -> New JS
Bootstrap finally migrated to Sass


Des res: Is Norway really the greatest place on Earth?
World news:
Blair has 'huge concerns' over attack on Iraq
King Abdullah of Jordan has warned George Bush that even Tony Blair has "tremendous concerns" about an attack on Saddam Hussein.
America: Army stunned by spate of murders
Europe news:
Baby girl is sole survivor in holiday crash
Police in Spain are searching for a driver suspected of causing a pile-up that left three members of a British family dead.
Italy: Vote will help Berlusconi escape trial
EU: Controls over budget 'worse than Enron'
UK news:
IVF: Couple denied 'designer baby'
Air traffic: Controllers urged to give up holidays
Ulster: Real IRA claims first fatality since Omagh
Education:
Pay cuts for teachers who fail tests
Sport:
England and Australia head gold rush
Business:
Double dip fears send markets plunging
Digital:
US Justice Department investigate AOL's accounts
People:
Kyle MacLachlan: You ask the questions
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A Modest Proposal For preventing the Software of Average Developers From being a Burden to Their Manager or Organization, and For making it Beneficial to the Public.
The association of a validation level with a software artifact
A released artifact is immutable
And is identified through a version number
external to the artifact
embedded within the artifact
in the source code as well
"Branching is the practice of creating copies of programs or objects in development to work in parallel versions"
Creating a branch is cheap, merging it back to trunk is expensive
"The Gitflow Workflow defines a strict branching model designed around the project release"
Do we need all these branches for an application operated in the cloud?
One URL One App of One Version One Branch!
"a technique in software development that attempts to provide an alternative to maintaining multiple source-code branches"
Apply the 'One Branch' mantra to the Release Process
Are Feature Branches that bad?
Decoupling
from Monolith (tightly coupled) to Microservices (decoupled)
Two microservices and their shared database.


shininglab
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Full stack web developer with a passion for building communities. With experience in Ruby on Rails, JavaScript, and React and a background in marketing, I discovered web development through the desire to solve problems I was seeing in the nonprofit world. I bring strong skills in organization and community management that help nonprofits advocate for change. I also maintain a technical blog.