Class: ApplicationController
- Inherits:
-
ActionController::Base
- Object
- ActionController::Base
- ApplicationController
- Defined in:
- app/controllers/application_controller.rb
Overview
base application controller
Direct Known Subclasses
AdminController, Public::AboutController, Public::BaseController, Public::ConnectController
Instance Method Summary collapse
-
#client_ip ⇒ Object
gets the clients ip address and sets as a global.
Instance Method Details
#client_ip ⇒ Object
gets the clients ip address and sets as a global
10 11 12 |
# File 'app/controllers/application_controller.rb', line 10 def client_ip @client_ip ||= IPAddr.new(request.remote_ip) end |


--- title: Fibres sidebar: documentation_sidebar permalink: RotationFibre.html folder: documentation toc: false ---
The set of all rotations that rotate a certain vector u onto a certain vector v define a fibre in the rotation space. A discretisation of such a fibre is defined by
{% highlight matlab %} u = xvector; v = yvector; rot = rotation(fibre(u,v)) {% endhighlight %} {% highlight plaintext %} Warning: Possibly applying an orientation to an object in specimen coordinates! rot = rotation size: 1000 x 1 {% endhighlight %}


pg_restore is a utility for restoring a PostgreSQL database from an archive created by pg_dump in one of the non-plain-text formats. It will issue the commands necessary to reconstruct the database to the state it was in at the time it was saved. The archive files also allow pg_restore to be selective about what is restored, or even to reorder the items prior to being restored. The archive files are designed to be portable across architectures.
pg_restore can operate in two modes. If a database name is specified, pg_restore connects to that database and restores archive contents directly into the database. Otherwise, a script containing the SQL commands necessary to rebuild the database is created and written to a file or standard output. This script output is equivalent to the plain text output format of pg_dump. Some of the options controlling the output are therefore analogous to pg_dump options.
Obviously, pg_restore cannot restore information that is not present in the archive file. For instance, if the archive was made using the "dump data as INSERT commands" option, pg_restore will not be able to load the data using COPY statements.
pg_restore accepts the following command line arguments.
Specifies the location of the archive file to be restored. If not specified, the standard input is used.
Restore only the data, not the schema (data definitions).
Clean (drop) database objects before recreating them.
Create the database before restoring into it. (When this option is used, the database named with -d is used only to issue the initial CREATE DATABASE command. All data is restored into the database name that appears in the archive.)
Connect to database dbname and restore directly into the database.
Exit if an error is encountered while sending SQL commands to the database. The default is to continue and to display a count of errors at the end of the restoration.
Specify output file for generated script, or for the listing when used with -l. Default is the standard output.
Specify format of the archive. It is not necessary to specify the format, since pg_restore will determine the format automatically. If specified, it can be one of the following:
The archive is a tar archive.
The archive is in the custom format of pg_dump.
A deprecated option that is now ignored.
Restore definition of named index only.
Run the most time-consuming parts of pg_restore — those which load data, create indexes, or create constraints — using multiple concurrent jobs. This option can dramatically reduce the time to restore a large database to a server running on a multiprocessor machine.
Each job is one process or one thread, depending on the operating system, and uses a separate connection to the server.
The optimal value for this option depends on the hardware setup of the server, of the client, and of the network. Factors include the number of CPU cores and the disk setup. A good place to start is the number of CPU cores on the server, but values larger than that can also lead to faster restore times in many cases. Of course, values that are too high will lead to decreased performance because of thrashing.
Only the custom archive format is supported with this option. The input file must be a regular file (not, for example, a pipe). This option is ignored when emitting a script rather than connecting directly to a database server. Also, multiple jobs cannot be used together with the option --single-transaction.
List the contents of the archive. The output of this operation can be used as input to the -L option. Note that if filtering switches such as -n or -t are used with -l, they will restrict the items listed.
Restore only those archive elements that are listed in list-file, and restore them in the order they appear in the file. Note that if filtering switches such as -n or -t are used with -L, they will further restrict the items restored.
list-file is normally created by editing the output of a previous -l operation. Lines can be moved or removed, and can also be commented out by placing a semicolon (;) at the start of the line. See below for examples.
Restore only objects that are in the named schema. This can be combined with the -t option to restore just a specific table.
Do not output commands to set ownership of objects to match the original database. By default, pg_restore issues ALTER OWNER or SET SESSION AUTHORIZATION statements to set ownership of created schema elements. These statements will fail unless the initial connection to the database is made by a superuser (or the same user that owns all of the objects in the script). With -O, any user name can be used for the initial connection, and this user will own all the created objects.
Do not output commands to select tablespaces. With this option, all objects will be created in whichever tablespace is the default during restore.
Restore the named function only. Be careful to spell the function name and arguments exactly as they appear in the dump file's table of contents.
This option is obsolete but still accepted for backwards compatibility.
Restore only the schema (data definitions), not the data (table contents). Current sequence values will not be restored, either. (Do not confuse this with the --schema option, which uses the word "schema" in a different meaning.)
Specify the superuser user name to use when disabling triggers. This is only relevant if --disable-triggers is used.
Restore definition and/or data of named table only. This can be combined with the -n option to specify a schema.
Restore named trigger only.
Specifies verbose mode.
Print the pg_restore version and exit.
Prevent restoration of access privileges (grant/revoke commands).
This option is only relevant when performing a data-only restore. It instructs pg_restore to execute commands to temporarily disable triggers on the target tables while the data is reloaded. Use this if you have referential integrity checks or other triggers on the tables that you do not want to invoke during data reload.
Presently, the commands emitted for --disable-triggers must be done as superuser. So, you should also specify a superuser name with -S, or preferably run pg_restore as a PostgreSQL superuser.
Output SQL-standard SET SESSION AUTHORIZATION commands instead of ALTER OWNER commands to determine object ownership. This makes the dump more standards-compatible, but depending on the history of the objects in the dump, might not restore properly.
By default, table data is restored even if the creation command for the table failed (e.g., because it already exists). With this option, data for such a table is skipped. This behavior is useful if the target database already contains the desired table contents. For example, auxiliary tables for PostgreSQL extensions such as PostGIS might already be loaded in the target database; specifying this option prevents duplicate or obsolete data from being loaded into them.
This option is effective only when restoring directly into a database, not when producing SQL script output.
Execute the restore as a single transaction (that is, wrap the emitted commands in BEGIN/COMMIT). This ensures that either all the commands complete successfully, or no changes are applied. This option implies --exit-on-error.
Show help about pg_restore command line arguments, and exit.
pg_restore also accepts the following command line arguments for connection parameters:
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. The default is taken from the PGHOST environment variable, if set, else a Unix domain socket connection is attempted.
Specifies the TCP port or local Unix domain socket file extension on which the server is listening for connections. Defaults to the PGPORT environment variable, if set, or a compiled-in default.
User name to connect as.
Never issue a password prompt. If the server requires password authentication and a password is not available by other means such as a .pgpass file, the connection attempt will fail. This option can be useful in batch jobs and scripts where no user is present to enter a password.
Force pg_restore to prompt for a password before connecting to a database.
This option is never essential, since pg_restore will automatically prompt for a password if the server demands password authentication. However, pg_restore will waste a connection attempt finding out that the server wants a password. In some cases it is worth typing -W to avoid the extra connection attempt.
Specifies a role name to be used to perform the restore. This option causes pg_restore to issue a SET ROLE rolename command after connecting to the database. It is useful when the authenticated user (specified by -U) lacks privileges needed by pg_restore, but can switch to a role with the required rights. Some installations have a policy against logging in directly as a superuser, and use of this option allows restores to be performed without violating the policy.
Default connection parameters
This utility, like most other PostgreSQL utilities, also uses the environment variables supported by libpq (see Section 31.13).
When a direct database connection is specified using the -d option, pg_restore internally executes SQL statements. If you have problems running pg_restore, make sure you are able to select information from the database using, for example, psql. Also, any default connection settings and environment variables used by the libpq front-end library will apply.
If your installation has any local additions to the template1 database, be careful to load the output of pg_restore into a truly empty database; otherwise you are likely to get errors due to duplicate definitions of the added objects. To make an empty database without any local additions, copy from template0 not template1, for example:
CREATE DATABASE foo WITH TEMPLATE template0;
The limitations of pg_restore are detailed below.
When restoring data to a pre-existing table and the option --disable-triggers is used, pg_restore emits commands to disable triggers on user tables before inserting the data, then emits commands to re-enable them after the data has been inserted. If the restore is stopped in the middle, the system catalogs might be left in the wrong state.
pg_restore cannot restore large objects selectively; for instance, only those for a specific table. If an archive contains large objects, then all large objects will be restored, or none of them if they are excluded via -L, -t, or other options.
See also the pg_dump documentation for details on limitations of pg_dump.
Once restored, it is wise to run ANALYZE on each restored table so the optimizer has useful statistics; see Section 23.1.3 and Section 23.1.5 for more information.
Assume we have dumped a database called mydb into a custom-format dump file:
$ pg_dump -Fc mydb > db.dump
To drop the database and recreate it from the dump:
$ dropdb mydb $ pg_restore -C -d postgres db.dump
The database named in the -d switch can be any database existing in the cluster; pg_restore only uses it to issue the CREATE DATABASE command for mydb. With -C, data is always restored into the database name that appears in the dump file.
To reload the dump into a new database called newdb:
$ createdb -T template0 newdb $ pg_restore -d newdb db.dump
Notice we don't use -C, and instead connect directly to the database to be restored into. Also note that we clone the new database from template0 not template1, to ensure it is initially empty.
To reorder database items, it is first necessary to dump the table of contents of the archive:
$ pg_restore -l db.dump > db.list
The listing file consists of a header and one line for each item, e.g.:
; ; Archive created at Mon Sep 14 13:55:39 2009 ; dbname: DBDEMOS ; TOC Entries: 81 ; Compression: 9 ; Dump Version: 1.10-0 ; Format: CUSTOM ; Integer: 4 bytes ; Offset: 8 bytes ; Dumped from database version: 8.3.5 ; Dumped by pg_dump version: 8.3.8 ; ; ; Selected TOC Entries: ; 3; 2615 2200 SCHEMA - public pasha 1861; 0 0 COMMENT - SCHEMA public pasha 1862; 0 0 ACL - public pasha 317; 1247 17715 TYPE public composite pasha 319; 1247 25899 DOMAIN public domain0 pasha
Semicolons start a comment, and the numbers at the start of lines refer to the internal archive ID assigned to each item.
Lines in the file can be commented out, deleted, and reordered. For example:
10; 145433 TABLE map_resolutions postgres ;2; 145344 TABLE species postgres ;4; 145359 TABLE nt_header postgres 6; 145402 TABLE species_records postgres ;8; 145416 TABLE ss_old postgres
could be used as input to pg_restore and would only restore items 10 and 6, in that order:
$ pg_restore -L db.list db.dump


How I want to shift my woodworking away from Furniture and onto Boxes and Other items over the coming years


- Source:
Classes
Members
-
<static, readonly> SketchGenNodes :number
-
Enum for all supported nodes within the code generator.
Type:
- number
- Source:
Methods
-
<static> createSketch(inCanvas) → {Sketch.Driver}
-
Creates an instance of the Sketch module with standard configuration.
Parameters:
Name Type Description inCanvas
HTMLCanvasElement - Source:
Returns:
- Type
- Sketch.Driver


What is the Travelling Salesman Problem?
The
travelling salesman problem states that: Given $n$ cities, what is the shortest path that visits each city exactly once and returns to the origin city? The TSP is one of the
NP-hard problems. No polynomial time algorithms exist to solve this problem. The direct solution will be to try all possible permutations aka the brute force search and return the least costly path. There are $n!$ permutations for a n-city problem which means the running time is of the order of $O(n!)$. To solve a simple 20 city problem you'll have to check $2432902008176640000$ possible routes in worst case scenario.
Why is it important
The TSP has applications in areas such as planning, logistics and manufacture of microchips. For example, if a robotic hand has to solder n connections, what is the best route it should follow such that it minimizes time and energy consumed. It also appears as a sub-problem in DNA sequencing.
What is Simulated Annealing
We don't always require the best solution for this problem. To solve the TSP we use what are called heuristics which give us a "good enough" which may or may not be the optimal solution. Some of these heuristics are genetic algorithms, hill climbing, ant colony optimization etc. Simulated Annealing is one such heuristic. Annealing is the process of heating metals above their recrystallization temperature and then cooling them. The molten metals cool down slowly and crystallize in a low energy state.
Hill Climbing vs. Simulated Annealing
A hill climbing heuristic begins which a random route and slightly mutates it to get a neighbor solution. If the neighbor solution is better than the current solution, the neighbor solution becomes the current solution and the process proceeds as such. There's however a problem with the hill climbing approach that it easily gets stuck in a local optimum and misses the global best.
Simulated Annealing solves this problem by sometimes choosing a bad neighbor to jump all over the search space. This gives it a better chance to find the global maximum and prevents it from getting stuck in a locally best solution.
The steps of simulated annealing are as follows:
- Generate a random solution.
- Calculate the cost of this solution i.e. the length of the route in case of TSP.
- Mutate this solution to generate a neighboring solution i.e. a solution which differs slightly from the current solution.
- Calculate the cost of neighboring solution.
- Compare the two costs.
- if costnew < costold: move to the new solution
- if costnew > costold: maybe move to the new solution
The last step is the most important which prevents the solution from getting stuck in a local optimum. Simulated annealing uses something called "temperature" to simulate the temperature as in case of metals. When the cost
new > cost
old we move to the new solution which a certain acceptance probability which is given by:
$$probability = e^{\frac{cost_{old} - cost_{new}}{T}}$$
where $T$ is the temperature.
Initially, when the temperature is high the bad neighbor is chosen with a greater probability which decreases as the temperature cools down. The rate at which the temperature cools down is $\alpha$ which ranges between $0.8$ to $1.0$ (exclusive).
2-opt algorithm
Even after using simulated annealing the search gets stuck with routes which cross over themselves. To solve this problem the
2-opt local search algorithm is used which reorders a route such that it does not over cross itself. The 2-opt swap reverses the order of cities between $i$ and $j$ (chosen randomly) so that the number of crosses can be reduced.
Source Code
The javascript source code is released under MIT License and is available on
GitHub. Feel free to fork the repository and submit a pull request.
Demo
A basic javascript demo of the above mentioned method can be found
here.
Credits & Further Reading


return segments
if __name__ == "__main__":
main()
if __name__ == "__main__":
text = "Hello World. My name is Jonas."
// text = "\"Dinah"ll miss me very much to-night, I should think!\" (Dinah was the cat.) \"I hope they"ll remember her saucer of milk at tea-time. Dinah, my dear, I wish you were down here with me!\""
s = Segmenter(text)
print(s.segment())
sents = s.segment()
for s in sents:
print(s)


Each username must be unique and have a maximum of 16 characters.
You can de/activate a user. Only active users can log in.
All fields are mandatory.
The following roles are available:
- {{ download }} download:Download without request
- {{ intern }} intern:download + all visualisation and tools
- {{ sber }} sber:intern + data management
- {{ admin }} admin:sber + portal management


|
blmc_robots
|
Base class for n-joint BLMC robots. More...
#include <n_joint_blmc_robot_driver.hpp>
Classes | |
| struct | Config |
| Configuration of the robot that can be changed by the user. More... | |
Public Member Functions | |
| NJointBlmcRobotDriver (const MotorBoards &motor_boards, const Motors &motors, const MotorParameters &motor_parameters, const Config &config) | |
| Vector | get_max_torques () const |
| void | pause_motors () |
| Vector | get_measured_index_angles () const |
| void | initialize () override |
| Find home position of all joints and move to start position. More... | |
| virtual Observation | get_latest_observation () override=0 |
| Action | apply_action (const Action &desired_action) override |
| std::string | get_error () override |
| void | shutdown () override |
| bool | is_within_hard_position_limits (const Observation &observation) const |
| Check if the joint position is within the hard limits. More... | |
Static Public Member Functions | |
| static MotorBoards | create_motor_boards (const std::array< std::string, N_MOTOR_BOARDS > &can_ports) |
| static Action | process_desired_action (const Action &desired_action, const Observation &latest_observation, const double max_torque_Nm, const Vector &safety_kd, const Vector &default_position_control_kp, const Vector &default_position_control_kd, const Vector &lower_position_limits=Vector::Constant(-std::numeric_limits< double >::infinity()), const Vector &upper_position_limits=Vector::Constant(std::numeric_limits< double >::infinity())) |
| Process the desired action provided by the user. More... | |
Public Attributes | |
| const bool | has_endstop_ |
| True if the joints have mechanical end stops, false if not. More... | |
Static Public Attributes | |
| static constexpr size_t | num_joints = N_JOINTS |
| static constexpr size_t | num_motor_boards = N_MOTOR_BOARDS |
Protected Member Functions | |
| Action | apply_action_uninitialized (const Action &desired_action) |
| void | _initialize () |
| Actual initialization that is called in a real-time thread in initialize(). More... | |
| bool | homing (Vector endstop_search_torques_Nm, Vector home_offset_rad=Vector::Zero()) |
| Homing using end stops (optional) and encoder indices. More... | |
| bool | move_to_position (const Vector &goal_pos, const double tolerance, const uint32_t time_steps) |
| Move to given goal position with a minimum jerk trajectory. More... | |
Protected Attributes | |
| BlmcJointModules< N_JOINTS > | joint_modules_ |
| MotorBoards | motor_boards_ |
| MotorParameters | motor_parameters_ |
| Fixed motor parameters (assuming all joints use same setup). | |
| double | max_torque_Nm_ |
| Maximum torque allowed on each joint. | |
| Config | config_ |
| User-defined configuration of the driver. More... | |
| bool | is_initialized_ = false |
Base class for n-joint BLMC robots.
This is a generic base class to easily implement drivers for simple BLMC robots that consist of N_JOINTS joints.
| N_JOINTS | Number of joints. |
| N_MOTOR_BOARDS | Number of motor control boards that are used. |
|
protected |
Actual initialization that is called in a real-time thread in initialize().
|
protected |
Homing using end stops (optional) and encoder indices.
Procedure for finding an absolute zero position (or "home" position) when using relative encoders.
If the robot has end stops (according to configuration), all joints first move in negative direction until they hit the end stop. Then an encoder index search is started where each joint moves slowly in positive direction until the next encoder index. The position of this encoder index is the "home position".
By default, the zero position is the same as the home position. The optional argument home_offset_rad provides a means to move the zero position relative to the home position. The zero position is computed as
zero position = encoder index position + home offset
| endstop_search_torques_Nm | Torques that are used to move the joints while searching the end stop. |
| home_offset_rad | Offset between the home position and the desired zero position. |
|
override |
Find home position of all joints and move to start position.
Homes all joints using home_on_index_after_negative_end_stop. When finished, move the joint to the starting position (defined in config_.initial_position_rad
).
| bool blmc_robots::NJointBlmcRobotDriver< Observation, N_JOINTS, N_MOTOR_BOARDS >::is_within_hard_position_limits | ( | const Observation & | observation | ) | const |
Check if the joint position is within the hard limits.
|
protected |
Move to given goal position with a minimum jerk trajectory.
Use a series of position actions to move to the given goal position on a minimum jerk trajectory.
| goal_pos | Angular goal position for each joint. |
| tolerance | Allowed position error for reaching the goal. This is checked per joint, that is the maximal possible error is +/-tolerance on each joint. |
| time_steps | Number of control loop cycles for reaching the goal. The lower the number of steps, the faster the robot will move. |
|
static |
Process the desired action provided by the user.
Takes the desired action from the user and does the following processing:
If the observed position of a joint exceeds the limits, actions for that joint that do not point back towards the allowed range are replaced with a position command to the limit value. Further custom PD-gains are ignored in this case.
If the target position is set to a value unequal to NaN for any joint, a PD position controller is executed for this joint and the resulting torque command is added to the torque command in the action.
If the P- and/or D-gains are set to a non-NaN value in the action, they are used for the control. NaN-values are replaced with the default gains.
torque_damped = torque_desired - safety_kd * current_velocity
The resulting action with modifications of all steps is returned.
| desired_action | Desired action given by the user. |
| latest_observation | Latest observation from the robot. |
| max_torque_Nm | Maximum allowed absolute torque. |
| safety_kd | D-gain for velocity damping. |
| default_position_control_kp | Default P-gain for position control. |
| default_position_control_kd | Default D-gain for position control. |
| lower_position_limits | Lower limits for joint positions. |
| upper_position_limits | Upper limits for joint positions. |
|
protected |
User-defined configuration of the driver.
Contains all configuration values that can be modified by the user (via the configuration file).
| const bool blmc_robots::NJointBlmcRobotDriver< Observation, N_JOINTS, N_MOTOR_BOARDS >::has_endstop_ |
True if the joints have mechanical end stops, false if not.
If set to true, it is assumed that all joints of the robot have end stops that mechanically prevent them from moving out of the valid range.
If present, the end stops are used for a fully automated homing procedure in which the joints first move until they hit the end stop before starting the encoder index search. This way it is ensured that the correct index is used for homing without any need for manual set up.


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Scottish duo set to battle for transfer of former Derby County defender - reports
Latest Derby County transfer news | The 31-year-old had a sixth-month stint with the Rams but failed to make a single first-team appearance
by Mark WakefieldFormer Derby County defender Efe Ambrose is reportedly the subject of two clubs in Scotland
The experienced centre-back signed for the Rams on a short-term deal in February as a free agent, shortly after his contract at Hibernian has expired.
Ambrose was signed as defensive cover to centre-backs Richard Keogh and Fikayo Tomori, but left Pride Park in the summer without a single first-team appearance to his name.
Now fresh reports are linking Ambrose with a move to two clubs north of the border, one of which is his former club Hibs.
The Daily Mail claim that Hibs are set to battle it out with fellow Scottish Premiership outfit St Johnstone for the 31-year-old’s signature.
Ambrose made 81 appearances for Hibs before leaving the club in January of this year, and could return less than a year after his departure.
Derby County latest
This is your round up of all things Derby; the one-stop shop that will keep you updated on the latest goings on at Pride Park and beyond.
Transfers, injuries, match-days and managers, we’ve got you covered.
We’ll be bringing the very latest on the Rams throughout the week and around the clock.
Make sure you keep yourself updated with our handy daily catch up...
Must reads...
- Scottish duo set to battle for transfer of former Derby County defender - reports
- These are the eight players Derby County fans want to leave the club in January
- Derby County transfer gossip - Rams looking north of border for striker
- 'Quality' - Could Derby County have set this guy on the road to greatness?
- 'As good' - Jayden Bogle compared favourably to Premier League right-backs
- Who is Luciano Acosta? Profile on D.C. United star invited to Derby County by Wayne Rooney
For all your latest Rams news, opinion, analysis and transfer gossip, click here
You can follow our Rams reporter Steve Nicholson on Twitter, and his email address is<EMAIL_ADDRESS>Hibs have a new manager at the helm as former Sunderland boss Jack Ross was appointed as Paul Heckingbottom replacement last week.
Ross could dip into the transfer market in January as he looks to take Hibs back up the Scottish Premiership table, with the club currently in eighth place.


Dimensionality Reduction - RDD-based API
Dimensionality reduction is the process
of reducing the number of variables under consideration.
It can be used to extract latent features from raw and noisy features
or compress data while maintaining the structure.
spark.mllib
provides support for dimensionality reduction on the RowMatrix class.
Singular value decomposition (SVD)
Singular value decomposition (SVD) factorizes a matrix into three matrices: $U$, $\Sigma$, and $V$ such that
\[
A = U \Sigma V^T,
\]
where
- $U$ is an orthonormal matrix, whose columns are called left singular vectors,
- $\Sigma$ is a diagonal matrix with non-negative diagonals in descending order, whose diagonals are called singular values,
- $V$ is an orthonormal matrix, whose columns are called right singular vectors.
For large matrices, usually we don’t need the complete factorization but only the top singular values and its associated singular vectors. This can save storage, de-noise and recover the low-rank structure of the matrix.
If we keep the top $k$ singular values, then the dimensions of the resulting low-rank matrix will be:
$U$
:$m \times k$
,$\Sigma$
:$k \times k$
,$V$
:$n \times k$
.
Performance
We assume $n$ is smaller than $m$. The singular values and the right singular vectors are derived from the eigenvalues and the eigenvectors of the Gramian matrix $A^T A$. The matrix storing the left singular vectors $U$, is computed via matrix multiplication as $U = A (V S^{-1})$, if requested by the user via the computeU parameter. The actual method to use is determined automatically based on the computational cost:
- If $n$ is small ($n < 100$) or $k$ is large compared with $n$ ($k > n / 2$), we compute the Gramian matrix first and then compute its top eigenvalues and eigenvectors locally on the driver. This requires a single pass with $O(n^2)$ storage on each executor and on the driver, and $O(n^2 k)$ time on the driver.
- Otherwise, we compute $(A^T A) v$ in a distributive way and send it to ARPACK to compute $(A^T A)$’s top eigenvalues and eigenvectors on the driver node. This requires $O(k)$ passes, $O(n)$ storage on each executor, and $O(n k)$ storage on the driver.
SVD Example
spark.mllib
provides SVD functionality to row-oriented matrices, provided in the
RowMatrix class.
Refer to the SingularValueDecomposition
Scala docs for details on the API.
import org.apache.spark.mllib.linalg.Matrix
import org.apache.spark.mllib.linalg.SingularValueDecomposition
import org.apache.spark.mllib.linalg.Vector
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.linalg.distributed.RowMatrix
val data = Array(
Vectors.sparse(5, Seq((1, 1.0), (3, 7.0))),
Vectors.dense(2.0, 0.0, 3.0, 4.0, 5.0),
Vectors.dense(4.0, 0.0, 0.0, 6.0, 7.0))
val dataRDD = sc.parallelize(data, 2)
val mat: RowMatrix = new RowMatrix(dataRDD)
// Compute the top 5 singular values and corresponding singular vectors.
val svd: SingularValueDecomposition[RowMatrix, Matrix] = mat.computeSVD(5, computeU = true)
val U: RowMatrix = svd.U // The U factor is a RowMatrix.
val s: Vector = svd.s // The singular values are stored in a local dense vector.
val V: Matrix = svd.V // The V factor is a local dense matrix.
The same code applies to IndexedRowMatrix
if U
is defined as an
IndexedRowMatrix
.
Refer to the SingularValueDecomposition
Java docs for details on the API.
import java.util.LinkedList;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.mllib.linalg.Matrix;
import org.apache.spark.mllib.linalg.SingularValueDecomposition;
import org.apache.spark.mllib.linalg.Vector;
import org.apache.spark.mllib.linalg.Vectors;
import org.apache.spark.mllib.linalg.distributed.RowMatrix;
double[][] array = {{1.12, 2.05, 3.12}, {5.56, 6.28, 8.94}, {10.2, 8.0, 20.5}};
LinkedList<Vector> rowsList = new LinkedList<>();
for (int i = 0; i < array.length; i++) {
Vector currentRow = Vectors.dense(array[i]);
rowsList.add(currentRow);
}
JavaRDD<Vector> rows = jsc.parallelize(rowsList);
// Create a RowMatrix from JavaRDD<Vector>.
RowMatrix mat = new RowMatrix(rows.rdd());
// Compute the top 3 singular values and corresponding singular vectors.
SingularValueDecomposition<RowMatrix, Matrix> svd = mat.computeSVD(3, true, 1.0E-9d);
RowMatrix U = svd.U();
Vector s = svd.s();
Matrix V = svd.V();
The same code applies to IndexedRowMatrix
if U
is defined as an
IndexedRowMatrix
.
In order to run the above application, follow the instructions provided in the Self-Contained Applications section of the Spark quick-start guide. Be sure to also include spark-mllib to your build file as a dependency.
Principal component analysis (PCA)
Principal component analysis (PCA) is a statistical method to find a rotation such that the first coordinate has the largest variance possible, and each succeeding coordinate in turn has the largest variance possible. The columns of the rotation matrix are called principal components. PCA is used widely in dimensionality reduction.
spark.mllib
supports PCA for tall-and-skinny matrices stored in row-oriented format and any Vectors.
The following code demonstrates how to compute principal components on a RowMatrix
and use them to project the vectors into a low-dimensional space.
Refer to the RowMatrix
Scala docs for details on the API.
import org.apache.spark.mllib.linalg.Matrix
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.linalg.distributed.RowMatrix
val data = Array(
Vectors.sparse(5, Seq((1, 1.0), (3, 7.0))),
Vectors.dense(2.0, 0.0, 3.0, 4.0, 5.0),
Vectors.dense(4.0, 0.0, 0.0, 6.0, 7.0))
val dataRDD = sc.parallelize(data, 2)
val mat: RowMatrix = new RowMatrix(dataRDD)
// Compute the top 4 principal components.
// Principal components are stored in a local dense matrix.
val pc: Matrix = mat.computePrincipalComponents(4)
// Project the rows to the linear space spanned by the top 4 principal components.
val projected: RowMatrix = mat.multiply(pc)
The following code demonstrates how to compute principal components on source vectors and use them to project the vectors into a low-dimensional space while keeping associated labels:
Refer to the PCA
Scala docs for details on the API.
import org.apache.spark.mllib.feature.PCA
import org.apache.spark.mllib.linalg.Vectors
import org.apache.spark.mllib.regression.LabeledPoint
import org.apache.spark.rdd.RDD
val data: RDD[LabeledPoint] = sc.parallelize(Seq(
new LabeledPoint(0, Vectors.dense(1, 0, 0, 0, 1)),
new LabeledPoint(1, Vectors.dense(1, 1, 0, 1, 0)),
new LabeledPoint(1, Vectors.dense(1, 1, 0, 0, 0)),
new LabeledPoint(0, Vectors.dense(1, 0, 0, 0, 0)),
new LabeledPoint(1, Vectors.dense(1, 1, 0, 0, 0))))
// Compute the top 5 principal components.
val pca = new PCA(5).fit(data.map(_.features))
// Project vectors to the linear space spanned by the top 5 principal
// components, keeping the label
val projected = data.map(p => p.copy(features = pca.transform(p.features)))
The following code demonstrates how to compute principal components on a RowMatrix
and use them to project the vectors into a low-dimensional space.
The number of columns should be small, e.g, less than 1000.
Refer to the RowMatrix
Java docs for details on the API.
import java.util.LinkedList;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.mllib.linalg.Matrix;
import org.apache.spark.mllib.linalg.Vector;
import org.apache.spark.mllib.linalg.Vectors;
import org.apache.spark.mllib.linalg.distributed.RowMatrix;
double[][] array = {{1.12, 2.05, 3.12}, {5.56, 6.28, 8.94}, {10.2, 8.0, 20.5}};
LinkedList<Vector> rowsList = new LinkedList<>();
for (int i = 0; i < array.length; i++) {
Vector currentRow = Vectors.dense(array[i]);
rowsList.add(currentRow);
}
JavaRDD<Vector> rows = JavaSparkContext.fromSparkContext(sc).parallelize(rowsList);
// Create a RowMatrix from JavaRDD<Vector>.
RowMatrix mat = new RowMatrix(rows.rdd());
// Compute the top 3 principal components.
Matrix pc = mat.computePrincipalComponents(3);
RowMatrix projected = mat.multiply(pc);
In order to run the above application, follow the instructions provided in the Self-Contained Applications section of the Spark quick-start guide. Be sure to also include spark-mllib to your build file as a dependency.


Declares the functions used by
GrowlApplicationBridge
to install Growl.
These functions are intended for
GrowlApplicationBridge
's private use only.
_Growl_ShowInstallationPrompt |
Shows the installation prompt for Growl-WithInstaller.
OSStatus _Growl_ShowInstallationPrompt( void);
_Growl_ShowUpdatePromptForVersion |
Show the update prompt for Growl-WithInstaller
OSStatus _Growl_ShowUpdatePromptForVersion( CFStringRef updateVersion);
updateVersion
- The version for which an update is available (that is, the version the user will have after updating)
showUpdatePromptForVersion: |
Show the update prompt for Growl-WithInstaller
OSStatus _Growl_ShowUpdatePromptForVersion( CFStringRef updateVersion);
updateVersion
- The version for which an update is available (that is, the version the user will have after updating)
© The Growl Project (Last Updated May 14, 2005)


On Linux, DFHack acts as a library that shadows parts of the SDL API using LD_PRELOAD.
DFHack doesn't have any kind of system of code snapshots in place, so you will have to get code from the github repository using git. Having a 'git' package installed is the minimal requirement, but some sort of git gui or git integration for your favorite text editor/IDE will certainly help.
The code resides here: https://github.com/DFHack/dfhack
If you just want to compile DFHack or work on it by contributing patches, it's quite enough to clone from the read-only address:
git clone git://github.com/DFHack/dfhack.git cd dfhack git submodule init git submodule update
If you want to get really involved with the development, create an account on github, make a clone there and then use that as your remote repository instead. Detailed instructions are beyond the scope of this document. If you need help, join us on IRC (#dfhack channel on freenode).
DFHack is meant to be installed into an existing DF folder, so get one ready.
For building, you need a 32-bit version of GCC. For example, to build DFHack on a 64-bit distribution like Arch, you'll need the multilib development tools and libraries. Alternatively, you might be able to use lxc to create a virtual 32-bit environment.
Before you can build anything, you'll also need cmake. It is advisable to also get ccmake on distributions that split the cmake package into multiple parts.
For the code generation parts, you need perl and the XML::LibXML and XML::LibXSLT perl packages. You should be able to find them in your distro repositories (on Arch linux 'perl-xml-libxml' and 'perl-xml-libxslt').
To build Stonesense, you'll also need OpenGL headers.
Building is fairly straightforward. Enter the build folder and start the build like this:
cd build cmake .. -DCMAKE_BUILD_TYPE:string=Release -DCMAKE_INSTALL_PREFIX=/home/user/DF make install
Obviously, replace the install path with path to your DF. This will build the library along with the normal set of plugins and install them into your DF folder.
Alternatively, you can use ccmake instead of cmake:
cd build ccmake .. make install
This will show a curses-based interface that lets you set all of the extra options.
You can also use a cmake-friendly IDE like KDevelop 4 or the cmake-gui program.
When compiling dfhack yourself, it builds against your system libc. When Dwarf Fortress runs, it uses a libstdc++ shipped with the binary, which is usually way older, and incompatible with your dfhack. This manifests with the error message:
./libs/Dwarf_Fortress: /pathToDF/libs/libstdc++.so.6: version `GLIBCXX_3.4.15' not found (required by ./hack/libdfhack.so)
To fix this, simply remove the libstdc++ shipped with DF, it will fall back to your system lib and everything will work fine:
cd /path/to/DF/ rm libs/libstdc++.so.6
If you are building on 10.6, please read the subsection below titled "Snow Leopard Changes" FIRST.
Download and unpack a copy of the latest DF
Install Xcode from Mac App Store
Open Xcode, go to Preferences > Downloads, and install the Command Line Tools.
Install dependencies
Option 1: Using MacPorts:
- Install MacPorts
- Run sudo port install gcc45 +universal cmake +universal git-core +universal This will take some time—maybe hours, depending on your machine.
At some point during this process, it may ask you to install a Java environment; let it do so.
Option 2: Using Homebrew:
- Install Homebrew and run:
- brew tap lethosor/gcc
- brew install git
- brew install cmake
- brew install lethosor/gcc/gcc45 --enable-multilib
Install perl dependencies
sudo cpan
If this is the first time you've run cpan, you will need to go through the setup process. Just stick with the defaults for everything and you'll be fine.
install XML::LibXML
install XML::LibXSLT
Get the dfhack source:
git clone git://github.com/DFHack/dfhack.git cd dfhack git submodule init git submodule update
Set environment variables:
Macports:
export CC=/opt/local/bin/gcc-mp-4.5 export CXX=/opt/local/bin/g++-mp-4.5Homebrew:
export CC=/usr/local/bin/gcc-4.5 export CXX=/usr/local/bin/g++-4.5
Build dfhack:
mkdir build-osx cd build-osx cmake .. -DCMAKE_BUILD_TYPE:string=Release -DCMAKE_INSTALL_PREFIX=/path/to/DF/directory make make install
In a separate Terminal window or tab, run: sudo ln -s /usr/include/libxml2/libxml /usr/include/libxml
int len = strlen((char*)ptr);
On Windows, DFHack replaces the SDL library distributed with DF.
DFHack doesn't have any kind of system of code snapshots in place, so you will have to get code from the github repository using git. You will need some sort of Windows port of git, or a GUI. Some examples:
- http://msysgit.github.io/ - this is a command line version of git for windows. Most tutorials on git usage will apply.
- http://code.google.com/p/tortoisegit/ - this puts a pretty, graphical face on top of msysgit :)
The code resides here: https://github.com/DFHack/dfhack
If you just want to compile DFHack or work on it by contributing patches, it's quite enough to clone from the read-only address:
git clone git://github.com/DFHack/dfhack.git cd dfhack git submodule init git submodule update
The tortoisegit GUI should have the equivalent options included.
If you want to get really involved with the development, create an account on github, make a clone there and then use that as your remote repository instead. Detailed instructions are beyond the scope of this document. If you need help, join us on IRC (#dfhack channel on freenode).
First, you need cmake. Get the win32 installer version from the official site: http://www.cmake.org/cmake/resources/software.html
It has the usual installer wizard. Make sure you let it add its binary folder to your binary search PATH so the tool can be later run from anywhere.
You'll need a copy of Microsoft Visual C++ 2010. The Express version is sufficient. Grab it from Microsoft's site.
You'll also need the Visual Studio 2010 SP1 update.
For the code generation parts, you'll need perl with XML::LibXML and XML::LibXSLT. Strawberry Perl works nicely for this: http://strawberryperl.com/
If you already have a different version of perl (for example the one from cygwin), you can run into some trouble. Either remove the other perl install from PATH, or install libxml and libxslt for it instead. Strawberry perl works though and has all the required packages.
There are several different batch files in the build folder along with a script that's used for picking the DF path.
First, run set_df_path.vbs and point the dialog that pops up at your DF folder that you want to use for development. Next, run one of the scripts with generate prefix. These create the MSVC solution file(s):
Then you can either open the solution with MSVC or use one of the msbuild scripts:
When you open the solution in MSVC, make sure you never use the Debug builds. Those aren't binary-compatible with DF. If you try to use a debug build with DF, you'll only get crashes. So pick either Release or RelWithDebInfo build and build the INSTALL target.
The debug scripts actually do RelWithDebInfo builds.
cmake allows you to pick a build type by changing this variable: CMAKE_BUILD_TYPE
cmake .. -DCMAKE_BUILD_TYPE:string=BUILD_TYPE
Without specifying a build type or 'None', cmake uses the CMAKE_CXX_FLAGS variable for building.
Valid and useful build types include 'Release', 'Debug' and 'RelWithDebInfo'. 'Debug' is not available on Windows.
Currently, the most direct way to use the library is to write a plugin that can be loaded by it. All the plugins can be found in the 'plugins' folder. There's no in-depth documentation on how to write one yet, but it should be easy enough to copy one and just follow the pattern.
Other than through plugins, it is possible to use DFHack via remote access interface, or by writing Lua scripts.
The most important parts of DFHack are the Core, Console, Modules and Plugins.
Rudimentary API documentation can be built using doxygen (see build options with ccmake or cmake-gui).
DFHack consists of variously licensed code, but invariably weak copyleft. The main license is zlib/libpng, some bits are MIT licensed, and some are BSD licensed.
Feel free to add your own extensions and plugins. Contributing back to the dfhack repository is welcome and the right thing to do :)
DFHack uses information about the game data structures, represented via xml files in the library/xml/ submodule.
Data structure layouts are described in files following the df.*.xml name pattern. This information is transformed by a perl script into C++ headers describing the structures, and associated metadata for the Lua wrapper. These headers and data are then compiled into the DFHack libraries, thus necessitating a compatibility break every time layouts change; in return it significantly boosts the efficiency and capabilities of DFHack code.
Global object addresses are stored in symbols.xml, which is copied to the dfhack release package and loaded as data at runtime.
DFHack supports remote access by exchanging Google protobuf messages via a TCP socket. Both the core and plugins can define remotely accessible methods. The dfhack-run command uses this interface to invoke ordinary console commands.
Currently the supported set of requests is limited, because the developers don't know what exactly is most useful.
Protocol client implementations exist for Java and C#.
Several things should be kept in mind when contributing to DFHack.
DFhack uses ANSI formatting and four spaces as indentation. Line endings are UNIX. The files use UTF-8 encoding. Code not following this won't make me happy, because I'll have to fix it. There's a good chance I'll make you fix it ;)
You can send patches or make a clone of the github repo and ask me on the IRC channel to pull your code in. I'll review it and see if there are any problems. I'll fix them if they are minor.
Fixes are higher in priority. If you want to work on something, but don't know what, check out http://github.com/DFHack/dfhack/issues -- this is also a good place to dump new ideas and/or bugs that need fixing.
If you want to do memory research, you'll need some tools and some knowledge. In general, you'll need a good memory viewer and optionally something to look at machine code without getting crazy :)
Good windows tools include:
Good linux tools:
Using publicly known information and analyzing the game's data is preferred.


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Resets the passed global properties to their default values as defined by SDL
The HELPPROMPT global property default value is generated by SDL consists of
the first vrCommand of each Command Menu item defined at the moment PTT is
pressed
The TIMEOUTPROMPT global property default value is the same as the HELPPROMPT
global property default value
HMILevel needs to be FULL, LIMITED or BACKGROUND
Since SmartDeviceLink 1.0 See SetGlobalProperties
Convenience init to reset global properties.
- (nonnull instancetype)initWithProperties:
(nonnull NSArray<SDLGlobalProperty> *)properties;
init(properties: [SDLGlobalProperty])
An array of one or more GlobalProperty enumeration elements
An SDLResetGlobalProperties object
An array of one or more GlobalProperty enumeration elements indicating which global properties to reset to their default value
@property (nonatomic, strong) NSArray<SDLGlobalProperty> *_Nonnull properties;
var properties: [SDLGlobalProperty] { get set }


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Marion County Assessor . Please use this search tool to learn the assessed value of any parcel in Marion County. The results . From your Tax Statement. OR .
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Marion County, Indiana Tax Assessor · Monroe County, Indiana Tax Assessor . Georgia Tax Assessors · Hawaii Tax Assessors · Idaho Tax Assessors .
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General Information. The County Board of Tax Assessors, appointed for fixed terms by the county commissioner(s) in all counties except one, is responsible for .
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{% include project-sidebar-header.html contactsVisible=false %}
Client cases
{% include project-list.html category=site.categories.Strategic title="Service innovation" subtitle="Service Design / Innovation Consulting" %} {% include project-list.html category=site.categories.Digital title="DIGITAL DESIGN" subtitle="UX Design / Product Design / Web Development"%} {% include project-list.html category=site.categories.Newtech title="NEWTECH" subtitle="Startups / Product Management" %}
{{ content }}


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Reinventing Reading.
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Mr. Utterson’s only answer was to rise and get his hat and greatcoat; but he observed with wonder the greatness of the relief that appeared upon the butler’s face, and perhaps with no less, that the wine was still untasted when he set it down to follow.
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Mr. Utterson’s only answer was to rise and get his hat and greatcoat; but he observed with wonder the greatness of the relief that appeared upon the butler’s face, and perhaps with no less, that the wine was still untasted when he set it down to follow.
Read MoreLorem Ipsum
Mr. Utterson’s only answer was to rise and get his hat and greatcoat; but he observed with wonder the greatness of the relief that appeared upon the butler’s face, and perhaps with no less, that the wine was still untasted when he set it down to follow.
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Mr. Utterson’s only answer was to rise and get his hat and greatcoat; but he observed with wonder the greatness of the relief that appeared upon the butler’s face, and perhaps with no less, that the wine was still untasted when he set it down to follow.
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Read More >Lorem Ipsum
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Read More >Lorem Ipsum
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Advent of Code, Day 3: Toboggan Trajectory
Go to Day 3 Challenge |
Go to index
I ran this code in the devtoolbar in Chrome, and the answers were simply outputted to the console.
Learn more about my solution.
Part I
"You start on the open square (.) in the top-left corner and need to reach the bottom (below the bottom-most row on your map).
The toboggan can only follow a few specific slopes (you opted for a cheaper model that prefers rational numbers); start by counting
all the trees you would encounter for the slope right 3, down 1."
ref
var nums = window.document.getElementsByTagName("pre")[0]
nums = nums.innerText.split('\n')
var columnCounter = 0
var treeCounter = 0
nums.forEach((row, index) => {
var fullRow = row.repeat(40)
if(fullRow.substring(columnCounter,columnCounter+1) === '#') {
console.error('tree hit row:', index, 'column:', columnCounter)
treeCounter++
}
columnCounter += 3
})
console.warn('total trees', treeCounter)
Part II
"Time to check the rest of the slopes - you need to minimize the probability of a sudden arboreal stop, after all."
ref
var nums = window.document.getElementsByTagName("pre")[0]
nums = nums.innerText.split('\n')
var slopes = [{ right: 1, down: 1 },{ right: 3, down: 1 },{ right: 5, down: 1 },{ right: 7, down: 1 },{ right: 1, down: 2}]
var total = 1
slopes.forEach(slope => {
var columnCounter = 0
var treeCounter = 0
nums.forEach((row, index) => {
if(index % slope.down === 0) {
var fullRow = row.repeat(100)
if(fullRow.substring(columnCounter,columnCounter+1) === '#') {
treeCounter++
}
columnCounter += slope.right
}
})
console.warn('total trees for', slope.right, 'x', slope.down, 'is', treeCounter)
total *= treeCounter
})
console.warn('total trees', total)


{block name="title"}
Download Winstars Catalogue 2019Q4 Pdf or Zip(for 2019 HK Consumer Electronics Exhibition)


Introduction
There are reams of literature on what makes a good cryptographic hash. Every ten years or so we have a competition to pick some new ones. You may have seen pseudocode. You may have seen diagrams of the inner workings. Maybe you can even read and understand the code. But have you ever seen a good illustration of how they work? I don't think I have.
Recently I was toying around with Bitcoin. I understood pretty quickly why CPU and GPU miners were no longer competetive with custom hardware, but what I couldn't figure out is why GPU miners weren't much faster than CPU miners (at least not on my hardware).
I wanted visuals, something a bit more accessible, like mining bitcoin with pencil and paper, but with less talking and more pictures. Hopefully other people find this interesting too.
If you need a refresher in hashes, I've made a modest attempt. For a rundown of the visualization I've selected, see my full explanation or the sidebar.
The Plan
One of the things you learn about data visualization is that often the key is not how you display the data, but what data you choose to display. If I showed you how a message travels through the 64 rounds of mathematical calculations involved in creating a SHA-2 hash of a short message, I'd leave you bored, confused, or possibly angry. Instead I'm going to demonstrate how minor changes to the input affect the outcome of the hash.
Displaying hashing 'rounds'
Most hash algorithms achieve their 'strength' by repeating a simple algorithm enough times that it is unimaginable that anyone could reverse or cheat the entire operation. This loop count is sometimes called 'rounds'. Before the first round a little bit of logic may run, but the main part of the algorithm is often a separate operation, as is the code for emitting the final value.
This is the hash value for "I owe you $10" if you do 0 (zero) rounds of SHA-2:
This is the hash value for "I owe you $10" if you do 1 (one) rounds of SHA-2:
Which changes almost half the bits:
The fact is, any similarity between bits in round 1 and round 2 are purely coincidental, because each round of the hash algorithm rearranges all of the bits. Like a lot of hashes, each round moves the data around. In SHA-2 a round involves reordering the bits in each slot and then moving each slot one position to the right. This means comparing one round to the next is comparing apples and oranges. So what can we compare?
Instead we should compare two similar messages to each other:
That's "I owe you $10" versus "I owe you $50" at 3 rounds. There's only two bits difference between them, and only one bit of difference in the messages. But by round 10:
And the full hash, after only changing the tens digit in the quantity owed, ends up as:
Tamper Resistance/Evidence
This is precisely the sort of behavior one looks for in a cryptographic hash: tamper resistance. If anyone changes anything (on accident or on purpose), we want to know before we do anything rash with the wrong information. This is also why so many people use hashes for file downloads. It lets you know if something went wrong with the transfer, and if you can trust the hash (most sites do NOT give you any reason to trust the hash, however) then you know that you got the complete version of the file you expected.
Several times in my career, I've encountered a popular piece of software that was released with a bug, and then silently updated almost immediately. In the cases I am aware of this happening it is because we had several people who were experiencing a bug and nobody else could recreate it. It turned out in two of those situations that despite us all having downloading 2.5.1 of the application, only the people who downloaded it first had the problem, and their installers had a different hash than the rest of us. After having spent man-days diagnosing the problem, it's frustrating for the answer to be 'uninstall and download it again' but at least we had our answer.
Feedback
So did this explanation work for you? I'm still on the fence. The idea was to show hashes in a new way, which I believe I accomplished, but as with most things visual, what other people see isn't necessarily what whe see. Please add a comment or an issue to this project on GitHub and I'll see what I can do. Thanks for reading!
Authors and Contributors
This code was inspired in part by an article on mining bitcoin with pencil and paper, and the accompanying video. But none of this would have been possible without my lifelong appreciation of the works of Bruce Schneier (cryptographer and security pundit) and Edward Tufte (maestro of data visualization).
Thanks to Chris Veness for his concise implementation of SHA-256 in Javascript, which with a few tweaks let me extract the intermediate states without having to roll a SHA-256 implementation myself.
Support or Contact
Having trouble with Pages? Check out our documentation or contact support and we’ll help you sort it out.


| Modifier and Type | Method and Description |
|---|---|
static <TServiceObject extends ServiceObject> |
EwsUtilities.createEwsObjectFromXmlElementName(Class<?> itemClass,
ExchangeService service,
String xmlElementName)
Creates the ews object from xml element name.
|
<TServiceObject extends ServiceObject> |
EwsServiceXmlReader.readServiceObjectsCollectionFromXml(String collectionXmlElementName,
IGetObjectInstanceDelegate<ServiceObject> getObjectInstanceDelegate,
boolean clearPropertyBag,
PropertySet requestedPropertySet,
boolean summaryPropertiesOnly)
Reads the service objects collection from XML.
|
| Modifier and Type | Method and Description |
|---|---|
ServiceObject |
PropertyBag.getOwner()
Gets the owner of this bag.
|
| Modifier and Type | Method and Description |
|---|---|
List<Item> |
ExchangeService.internalCreateResponseObject(ServiceObject responseObject,
FolderId parentFolderId,
MessageDisposition messageDisposition)
Create response object.
|
static void |
EwsUtilities.validateServiceObjectVersion(ServiceObject serviceObject,
ExchangeVersion requestVersion)
Validates service object version against the request version.
|
boolean |
ICustomXmlUpdateSerializer.writeDeleteUpdateToXml(EwsServiceXmlWriter writer,
ServiceObject ewsObject)
Writes the deletion update to XML.
|
boolean |
ICustomXmlUpdateSerializer.writeSetUpdateToXml(EwsServiceXmlWriter writer,
ServiceObject ewsObject,
PropertyDefinition propertyDefinition)
Writes the update to XML.
|
| Modifier and Type | Method and Description |
|---|---|
<TServiceObject extends ServiceObject> |
EwsServiceXmlReader.readServiceObjectsCollectionFromXml(String collectionXmlElementName,
IGetObjectInstanceDelegate<ServiceObject> getObjectInstanceDelegate,
boolean clearPropertyBag,
PropertySet requestedPropertySet,
boolean summaryPropertiesOnly)
Reads the service objects collection from XML.
|
| Constructor and Description |
|---|
PropertyBag(ServiceObject owner)
Initializes a new instance of PropertyBag.
|
| Modifier and Type | Class and Description |
|---|---|
(package private) class |
CreateItemRequestBase<TServiceObject extends ServiceObject,TResponse extends ServiceResponse>
Represents an abstract CreateItem request.
|
(package private) class |
CreateRequest<TServiceObject extends ServiceObject,TResponse extends ServiceResponse>
Represents an abstract Create request.
|
(package private) class |
GetRequest<TServiceObject extends ServiceObject,TResponse extends ServiceResponse>
Represents an abstract Get request.
|
(package private) class |
MoveCopyRequest<TServiceObject extends ServiceObject,TResponse extends ServiceResponse>
Represents an abstract Move/Copy request.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
IGetObjectInstanceDelegate<T extends ServiceObject>
The Interface GetObjectInstanceDelegateInterface.
|
class |
SyncResponse<TServiceObject extends ServiceObject,TChange extends Change>
Represents the base response class for synchronuization operations.
|
| Modifier and Type | Method and Description |
|---|---|
ServiceObject |
UpdateItemResponse.getObjectInstanceDelegate(ExchangeService service,
String xmlElementName) |
ServiceObject |
UpdateFolderResponse.getObjectInstanceDelegate(ExchangeService service,
String xmlElementName)
Gets the object instance delegate.
|
ServiceObject |
MoveCopyItemResponse.getObjectInstanceDelegate(ExchangeService service,
String xmlElementName)
Gets the object instance delegate.
|
ServiceObject |
MoveCopyFolderResponse.getObjectInstanceDelegate(ExchangeService service,
String xmlElementName)
Gets the object instance delegate.
|
ServiceObject |
GetItemResponse.getObjectInstanceDelegate(ExchangeService service,
String xmlElementName)
Gets the object instance delegate.
|
ServiceObject |
GetFolderResponse.getObjectInstanceDelegate(ExchangeService service,
String xmlElementName)
Gets the object instance delegate.
|
ServiceObject |
CreateItemResponseBase.getObjectInstanceDelegate(ExchangeService service,
String xmlElementName)
Gets the object instance delegate.
|
ServiceObject |
CreateFolderResponse.getObjectInstanceDelegate(ExchangeService service,
String xmlElementName)
Gets the object instance delegate.
|
| Modifier and Type | Class and Description |
|---|---|
class |
CalendarFolder
Represents a folder containing appointments.
|
class |
ContactsFolder
Represents a folder containing contacts.
|
class |
Folder
Represents a generic folder.
|
class |
SearchFolder
Represents a search folder.
|
class |
TasksFolder
Represents a folder containing task item.
|
| Modifier and Type | Class and Description |
|---|---|
class |
Appointment
Represents an appointment or a meeting.
|
class |
Contact
Represents a contact.
|
class |
ContactGroup
Represents a Contact Group.
|
class |
Conversation
Represents a collection of Conversation related property.
|
class |
EmailMessage
Represents an e-mail message.
|
class |
Item
Represents a generic item.
|
class |
MeetingCancellation
Represents a meeting cancellation message.
|
class |
MeetingMessage
Represents a meeting-related message.
|
class |
MeetingRequest
Represents a meeting request that an attendee can accept
or decline.
|
class |
MeetingResponse
Represents a response to a meeting request.
|
class |
PostItem
Represents a post item.
|
class |
Task
Represents a Task item.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AcceptMeetingInvitationMessage
Represents a meeting acceptance message.
|
class |
CalendarResponseMessage<TMessage extends EmailMessage>
Represents the base class for accept, tentatively accept and decline response
messages.
|
class |
CalendarResponseMessageBase<TMessage extends EmailMessage>
Represents the base class for all calendar-related response messages.
|
class |
CancelMeetingMessage
Represents a meeting cancellation message.
|
class |
DeclineMeetingInvitationMessage
Represents a meeting declination message.
|
class |
PostReply
Represents a reply to a post item.
|
class |
RemoveFromCalendar
Represents a response object created to remove a calendar item from a meeting
cancellation.
|
class |
ResponseMessage
The Class ResponseMessage.
|
class |
ResponseObject<TMessage extends EmailMessage>
The Class ResponseObject.
|
class |
SuppressReadReceipt
Represents a response object created to supress read receipts for an item.
|
| Modifier and Type | Method and Description |
|---|---|
ServiceObject |
IOwnedProperty.getOwner()
Gets the owner.
|
ServiceObject |
AttachmentCollection.getOwner()
The owner of this attachment collection.
|
| Modifier and Type | Method and Description |
|---|---|
void |
ItemAttachment.serviceObjectChanged(ServiceObject serviceObject)
Service object changed.
|
void |
IServiceObjectChangedDelegate.serviceObjectChanged(ServiceObject serviceObject)
Service object changed.
|
void |
IOwnedProperty.setOwner(ServiceObject obj)
Sets the owner.
|
void |
AttachmentCollection.setOwner(ServiceObject value)
The owner of this attachment collection.
|
protected boolean |
PhysicalAddressEntry.writeDeleteUpdateToXml(EwsServiceXmlWriter writer,
ServiceObject ewsObject)
Writes the delete update to XML.
|
boolean |
GroupMemberCollection.writeDeleteUpdateToXml(EwsServiceXmlWriter writer,
ServiceObject ewsObject)
Writes the deletion update to XML.
|
boolean |
ExtendedPropertyCollection.writeDeleteUpdateToXml(EwsServiceXmlWriter writer,
ServiceObject ewsObject)
Writes the deletion update to XML.
|
boolean |
DictionaryProperty.writeDeleteUpdateToXml(EwsServiceXmlWriter writer,
ServiceObject ewsObject)
Writes deletion update to XML.
|
protected boolean |
DictionaryEntryProperty.writeDeleteUpdateToXml(EwsServiceXmlWriter writer,
ServiceObject ewsObject)
Writes the delete update to XML.
|
boolean |
ComplexPropertyCollection.writeDeleteUpdateToXml(EwsServiceXmlWriter writer,
ServiceObject ewsObject)
Writes the deletion update to XML.
|
boolean |
GroupMemberCollection.writeSetUpdateToXml(EwsServiceXmlWriter writer,
ServiceObject ownerObject,
PropertyDefinition propertyDefinition)
Writes the update to XML.
|
boolean |
ExtendedPropertyCollection.writeSetUpdateToXml(EwsServiceXmlWriter writer,
ServiceObject ewsObject,
PropertyDefinition propertyDefinition)
Writes the update to XML.
|
boolean |
DictionaryProperty.writeSetUpdateToXml(EwsServiceXmlWriter writer,
ServiceObject ewsObject,
PropertyDefinition propertyDefinition)
Writes updates to XML.
|
boolean |
ComplexPropertyCollection.writeSetUpdateToXml(EwsServiceXmlWriter writer,
ServiceObject ewsObject,
PropertyDefinition propertyDefinition)
Write set update to xml.
|
protected boolean |
PhysicalAddressEntry.writeSetUpdateToXml(EwsServiceXmlWriter writer,
ServiceObject ewsObject,
String ownerDictionaryXmlElementName)
Writes the update to XML.
|
protected boolean |
DictionaryEntryProperty.writeSetUpdateToXml(EwsServiceXmlWriter writer,
ServiceObject ewsObject,
String ownerDictionaryXmlElementName)
Writes the set update to XML.
|
| Modifier and Type | Method and Description |
|---|---|
ComplexProperty |
PermissionSetPropertyDefinition.createPropertyInstance(ServiceObject owner)
Creates the property instance.
|
abstract ComplexProperty |
ComplexPropertyDefinitionBase.createPropertyInstance(ServiceObject owner)
Creates the property instance.
|
ComplexProperty |
ComplexPropertyDefinition.createPropertyInstance(ServiceObject owner)
Creates the property instance.
|
| Modifier and Type | Method and Description |
|---|---|
ServiceObject |
Change.getServiceObject()
Gets the service object the change applies to.
|
| Modifier and Type | Method and Description |
|---|---|
void |
Change.setServiceObject(ServiceObject serviceObject)
Sets the service object.
|


Maple Leafs fire Mike Babcock after underwhelming start
by The Associated PressTORONTO — The Toronto Maple Leafs have fired coach Mike Babcock.
Team President Brendan Shanahan announced the move Wednesday and said Sheldon Keefe would take over as coach.
In parts of five seasons under Babcock, the Maple Leafs posted a record of 173-133-45 in 351 regular-season games and an 8-12 record in three postseason appearances.
After signing the richest coaching contract in NHL history at $50 million over eight years, Babcock got Toronto to the playoffs the last three seasons but was unable to advance beyond the first round.
The 39-year-old Keefe, who has a long history with Leafs general manager Kyle Dubas, was in his fifth season as head coach of the American Hockey League’s Toronto Marlies.
In his final game as head coach, Babcock and the Maple Leafs lost to the Golden Knights 4-2 on Tuesday at T-Mobile Arena.


16
Sarai and Hagar
1 Now Sarai, Abram's wife, had borne him no children. She had a female Egyptian servant whose name was Hagar.
2 And Sarai said to Abram, “Behold now, the LORD has prevented me from bearing children. Go in to my servant; it may be that I shall obtain children by her.” And Abram listened to the voice of Sarai.
3 So, after Abram had lived ten years in the land of Canaan, Sarai, Abram's wife, took Hagar the Egyptian, her servant, and gave her to Abram her husband as a wife.
4 And he went in to Hagar, and she conceived. And when she saw that she had conceived, she looked with contempt on her mistress.
5 And Sarai said to Abram, “May the wrong done to me be on you! I gave my servant to your embrace, and when she saw that she had conceived, she looked on me with contempt. May the LORD judge between you and me!”
6 But Abram said to Sarai, “Behold, your servant is in your power; do to her as you please.” Then Sarai dealt harshly with her, and she fled from her.
7 The angel of the LORD found her by a spring of water in the wilderness, the spring on the way to Shur.
8 And he said, “Hagar, servant of Sarai, where have you come from and where are you going?” She said, “I am fleeing from my mistress Sarai.”
9 The angel of the LORD said to her, “Return to your mistress and submit to her.”
10 The angel of the LORD also said to her, “I will surely multiply your offspring so that they cannot be numbered for multitude.”
11 And the angel of the LORD said to her,
“Behold, you are pregnant
and shall bear a son.
You shall call his name Ishmael,
because the LORD has listened to your affliction.
12 He shall be a wild donkey of a man,
his hand against everyone
and everyone's hand against him,
and he shall dwell over against all his kinsmen.”
13 So she called the name of the LORD who spoke to her, “You are a God of seeing,” for she said, “Truly here I have seen him who looks after me.”
14 Therefore the well was called Beer-lahai-roi; it lies between Kadesh and Bered.
15 And Hagar bore Abram a son, and Abram called the name of his son, whom Hagar bore, Ishmael.
16 Abram was eighty-six years old when Hagar bore Ishmael to Abram.