graph_diff.cpp_algorithms package¶
Submodules¶
graph_diff.cpp_algorithms.algorithm_compiler module¶
-
class
graph_diff.cpp_algorithms.algorithm_compiler.
AlgorithmCompiler
[source]¶ Bases:
object
Class for compiling cpp source to get certain algorithms
-
ALGORITHMS_FLAGS
= {'BaselineAlgorithmOmp': ['-Xpreprocessor', '-fopenmp', '-lomp'], 'BaselineWithChopAlgorithmOmp': ['-Xpreprocessor', '-fopenmp', '-lomp']}¶
-
CPP_COMPILER
= 'g++'¶
-
CPP_OPTIMIZATION
= '-o3'¶
-
CPP_STANDARD
= '-std=c++1z'¶
-
EXE_FILENAME
= 'main'¶
-
FILENAME
= 'main.cpp'¶
-
SUPPORTED_ALGORITHMS
= {'BaselineWithChopAlgorithmOmp', 'BaselineAlgorithmOmp', 'OrderedAntAlgorithm', 'UnorderedAntAlgorithm', 'BaselineWithChopAlgorithm', 'BaselineAlgorithm'}¶
-
compile
(algorithm: str) → str[source]¶ Compiles cpp source with algorithm defined. Can (and to preferred) to be ran as compile_{snake_case_version_of_algorithm_name}.
- For example:
- compiler.compile_baseline_algorithm()
Parameters: algorithm – cpp class name of the corresponding algorithm Returns: path to the executable
-
compile_baseline_algorithm
()¶ Generated by clone_method decorator method compile_baseline_algorithm of class AlgorithmCompiler. Please refer to AlgorithmCompiler.compile documentation.
-
compile_baseline_algorithm_omp
()¶ Generated by clone_method decorator method compile_baseline_algorithm_omp of class AlgorithmCompiler. Please refer to AlgorithmCompiler.compile documentation.
-
compile_baseline_with_chop_algorithm
()¶ Generated by clone_method decorator method compile_baseline_with_chop_algorithm of class AlgorithmCompiler. Please refer to AlgorithmCompiler.compile documentation.
-
compile_baseline_with_chop_algorithm_omp
()¶ Generated by clone_method decorator method compile_baseline_with_chop_algorithm_omp of class AlgorithmCompiler. Please refer to AlgorithmCompiler.compile documentation.
-
compile_ordered_ant_algorithm
()¶ Generated by clone_method decorator method compile_ordered_ant_algorithm of class AlgorithmCompiler. Please refer to AlgorithmCompiler.compile documentation.
-
compile_unordered_ant_algorithm
()¶ Generated by clone_method decorator method compile_unordered_ant_algorithm of class AlgorithmCompiler. Please refer to AlgorithmCompiler.compile documentation.
-
graph_diff.cpp_algorithms.algorithm_importer module¶
graph_diff.cpp_algorithms.algorithm_runner module¶
-
class
graph_diff.cpp_algorithms.algorithm_runner.
AlgorithmRunner
[source]¶ Bases:
object
Class for running cpp executables and constructing graph differences
-
EXE_FILENAME
= 'main'¶
-
RECOMPILE
= True¶
-
SUPPORTED_ALGORITHMS
= {'BaselineWithChopAlgorithmOmp', 'BaselineAlgorithmOmp', 'OrderedAntAlgorithm', 'UnorderedAntAlgorithm', 'BaselineWithChopAlgorithm', 'BaselineAlgorithm'}¶
-
construct_diff
(algorithm: str, graph1: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot, graph2: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot) → graph_diff.graph_diff_algorithm.graph_map.GraphMap[source]¶ Constructs difference between graph1 and graph2. Uses defined algorithm for that. Uses cpp executable inside itself. Can (and to preferred) to be ran as {snake_case_version_of_algorithm_name}_construct_diff.
- For example:
- runner.baseline_algorithm_construct_diff()
Parameters: - algorithm – class name of the corresponding algorithm to use
- graph1 – original graph
- graph2 – changed graph
Returns: difference ‘twixt graphs
-
construct_diff_baseline_algorithm
()¶ Generated by clone_method decorator method construct_diff_baseline_algorithm of class AlgorithmRunner. Please refer to AlgorithmRunner.construct_diff documentation.
-
construct_diff_baseline_algorithm_omp
()¶ Generated by clone_method decorator method construct_diff_baseline_algorithm_omp of class AlgorithmRunner. Please refer to AlgorithmRunner.construct_diff documentation.
-
construct_diff_baseline_with_chop_algorithm
()¶ Generated by clone_method decorator method construct_diff_baseline_with_chop_algorithm of class AlgorithmRunner. Please refer to AlgorithmRunner.construct_diff documentation.
-
construct_diff_baseline_with_chop_algorithm_omp
()¶ Generated by clone_method decorator method construct_diff_baseline_with_chop_algorithm_omp of class AlgorithmRunner. Please refer to AlgorithmRunner.construct_diff documentation.
-
construct_diff_ordered_ant_algorithm
()¶ Generated by clone_method decorator method construct_diff_ordered_ant_algorithm of class AlgorithmRunner. Please refer to AlgorithmRunner.construct_diff documentation.
-
construct_diff_unordered_ant_algorithm
()¶ Generated by clone_method decorator method construct_diff_unordered_ant_algorithm of class AlgorithmRunner. Please refer to AlgorithmRunner.construct_diff documentation.
-
graph_diff.cpp_algorithms.algorithms module¶
-
class
graph_diff.cpp_algorithms.algorithms.
CppImport
[source]¶ Bases:
object
Class for importing cpp realizations of algorithms. Logical part of the class initialization is contained in the decorator. This class should be considered a module containing algorithms and treated as such. List of the available algorithms contained in parameters.SUPPORTED_ALGORITHMS.
Example of usage: graph1, graph2 diff = CppImport.BaselineAlgorithm().construct_diff(graph1, graph2)
-
class
BaselineAlgorithm
¶ Bases:
graph_diff.graph_diff_algorithm.graph_diff_algorithm.GraphDiffAlgorithm
Realization of algorithm BaselineAlgorithm on cpp
-
construct_diff
(graph1: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot, graph2: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot) → graph_diff.graph_diff_algorithm.graph_map.GraphMap¶
-
-
class
BaselineAlgorithmOmp
¶ Bases:
graph_diff.graph_diff_algorithm.graph_diff_algorithm.GraphDiffAlgorithm
Realization of algorithm BaselineAlgorithmOmp on cpp
-
construct_diff
(graph1: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot, graph2: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot) → graph_diff.graph_diff_algorithm.graph_map.GraphMap¶
-
-
class
BaselineWithChopAlgorithm
¶ Bases:
graph_diff.graph_diff_algorithm.graph_diff_algorithm.GraphDiffAlgorithm
Realization of algorithm BaselineWithChopAlgorithm on cpp
-
construct_diff
(graph1: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot, graph2: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot) → graph_diff.graph_diff_algorithm.graph_map.GraphMap¶
-
-
class
BaselineWithChopAlgorithmOmp
¶ Bases:
graph_diff.graph_diff_algorithm.graph_diff_algorithm.GraphDiffAlgorithm
Realization of algorithm BaselineWithChopAlgorithmOmp on cpp
-
construct_diff
(graph1: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot, graph2: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot) → graph_diff.graph_diff_algorithm.graph_map.GraphMap¶
-
-
class
OrderedAntAlgorithm
¶ Bases:
graph_diff.graph_diff_algorithm.graph_diff_algorithm.GraphDiffAlgorithm
Realization of algorithm OrderedAntAlgorithm on cpp
-
construct_diff
(graph1: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot, graph2: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot) → graph_diff.graph_diff_algorithm.graph_map.GraphMap¶
-
-
class
UnorderedAntAlgorithm
¶ Bases:
graph_diff.graph_diff_algorithm.graph_diff_algorithm.GraphDiffAlgorithm
Realization of algorithm UnorderedAntAlgorithm on cpp
-
construct_diff
(graph1: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot, graph2: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot) → graph_diff.graph_diff_algorithm.graph_map.GraphMap¶
-
-
class
-
class
graph_diff.cpp_algorithms.algorithms.
CppRun
[source]¶ Bases:
object
Class for running cpp realizations of algorithms. Logical part of the class initialization is contained in the decorator. This class should be considered a module containing algorithms and treated as such. List of the available algorithms contained in parameters.SUPPORTED_ALGORITHMS.
Example of usage: graph1, graph2 diff = CppRun.BaselineAlgorithm().construct_diff(graph1, graph2)
-
class
BaselineAlgorithm
¶ Bases:
graph_diff.graph_diff_algorithm.graph_diff_algorithm.GraphDiffAlgorithm
Realization of algorithm BaselineAlgorithm on cpp
-
construct_diff
(graph1: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot, graph2: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot) → graph_diff.graph_diff_algorithm.graph_map.GraphMap¶
-
-
class
BaselineAlgorithmOmp
¶ Bases:
graph_diff.graph_diff_algorithm.graph_diff_algorithm.GraphDiffAlgorithm
Realization of algorithm BaselineAlgorithmOmp on cpp
-
construct_diff
(graph1: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot, graph2: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot) → graph_diff.graph_diff_algorithm.graph_map.GraphMap¶
-
-
class
BaselineWithChopAlgorithm
¶ Bases:
graph_diff.graph_diff_algorithm.graph_diff_algorithm.GraphDiffAlgorithm
Realization of algorithm BaselineWithChopAlgorithm on cpp
-
construct_diff
(graph1: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot, graph2: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot) → graph_diff.graph_diff_algorithm.graph_map.GraphMap¶
-
-
class
BaselineWithChopAlgorithmOmp
¶ Bases:
graph_diff.graph_diff_algorithm.graph_diff_algorithm.GraphDiffAlgorithm
Realization of algorithm BaselineWithChopAlgorithmOmp on cpp
-
construct_diff
(graph1: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot, graph2: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot) → graph_diff.graph_diff_algorithm.graph_map.GraphMap¶
-
-
class
OrderedAntAlgorithm
¶ Bases:
graph_diff.graph_diff_algorithm.graph_diff_algorithm.GraphDiffAlgorithm
Realization of algorithm OrderedAntAlgorithm on cpp
-
construct_diff
(graph1: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot, graph2: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot) → graph_diff.graph_diff_algorithm.graph_map.GraphMap¶
-
-
class
UnorderedAntAlgorithm
¶ Bases:
graph_diff.graph_diff_algorithm.graph_diff_algorithm.GraphDiffAlgorithm
Realization of algorithm UnorderedAntAlgorithm on cpp
-
construct_diff
(graph1: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot, graph2: graph_diff.graph.graph_with_repetitive_nodes_with_root.GraphWithRepetitiveNodesWithRoot) → graph_diff.graph_diff_algorithm.graph_map.GraphMap¶
-
-
class
graph_diff.cpp_algorithms.decorators module¶
-
graph_diff.cpp_algorithms.decorators.
add_imported_algorithms
(cls: type)[source]¶ Adds supported algorithms-classes to class-container.
Parameters: cls – class-container to modify Returns: modified class
-
graph_diff.cpp_algorithms.decorators.
add_run_algorithms
(cls: type)[source]¶ Adds supported algorithms-classes to class-container.
Parameters: cls – class-container to modify Returns: modified class
-
graph_diff.cpp_algorithms.decorators.
clone_method
(method_name: str, *args)[source]¶ Clones given method by given args and creates series of methods. Let x be one of the args. For every x in args this method adds method which has logic to run original method with x as argument and which name is f’{method_name}_{x}’.
Parameters: - method_name – name of the method with exactly one argument
- args – arguments for the method
Returns: decorator function that will modify a class given
graph_diff.cpp_algorithms.parameters module¶
Parameters defined in module


--- layout: default ---
This is the portlet style guide.
Examples of topics in-scope (but not treated yet in this guide):
Examples of topics out-of-scope:
Other guides that might be relevant:
Be kind to your users. Be kind to your fellow developers. Be especially kind to those who especially struggle, who struggle to understand your portlet, who struggle to navigate the portal, who struggle to understand, support, and build upon your work, who struggle to make the most of the richness and complexity of the University. The purpose of a portlet development guide is to guide development towards processes, products, and experiences that are more kind.
A kind portlet is a usable, accessible, adoptable, supportable, maintainable, loved portlet.
 Certainly nothing like the most important such opportunities you will enjoy, but when life hands you an opportunity to be kind, take it.
Take care to be kind when applying this guide to others' work. The guide is not intended as a blunt instrument. Portlet development, like much of life, requires poise and charm.
Life's most persistent and urgent question is, "What are you doing for others?"
- Martin Luther King, Jr.
Documentation goes here. Beard keytar VHS blog, photo booth church-key Bushwick flannel stumptown Thundercats Blue Bottle. Raw denim gluten-free sartorial brunch cliche. Locavore synth master cleanse, keffiyeh bitters Pitchfork Brooklyn asymmetrical YOLO beard distillery Carles fashion axe. 90's single-origin coffee deep v, Cosby sweater fingerstache banjo Tumblr organic ethnic bespoke kogi gluten-free lo-fi chillwave. Helvetica food truck fanny pack, quinoa wayfarers wolf literally banh mi chambray banjo chia hella single-origin coffee. Selvage Banksy literally trust fund paleo Thundercats High Life, Godard vinyl drinking vinegar wolf banjo. Mumblecore whatever organic PBR typewriter, butcher occupy dreamcatcher wayfarers vinyl pop-up.
Examples and further explanation go here.
Another list of some other stuff
Details about something that can be explained with a picture.
Something that needed explaining with a bigger picture.
TODO: say something intelligent about JavaScript in the context of portlets. Somehow JavaScript is not turning out to be a passing fad.
The components in MyUW are called "Apps", not portlets, though they may technically be JSR-286 portlets. App is always capitalized where it appears in the UI (i.e., "App"). "An App" rather than "A App".


§ GameModel()
| model.GameModel.GameModel |
( |
| ) |
|
Constructor for the game Model.
Contains all the data and models for the game, including the player, paddle, and the ball.
Declara variables/instances for the model
- regular ball
- bomb
- paddle for the player
- paddle for the computer
- score and life for the player
- score and life for the ai
§ getBall()
| Ball model.GameModel.getBall |
( |
| ) |
|
gets the Ball object
- Returns
- b is the ball object
§ getBomb()
| Ball model.GameModel.getBomb |
( |
| ) |
|
gets the bomb object
- Returns
- bomb is the bomb object
§ getComputer()
| Player model.GameModel.getComputer |
( |
| ) |
|
gets the computer object
- Returns
- computer
§ getComputerPaddle()
| Paddle model.GameModel.getComputerPaddle |
( |
| ) |
|
gets the computer paddle object
- Returns
- p_computer
§ getPlayer()
| Player model.GameModel.getPlayer |
( |
| ) |
|
gets the player object
- Returns
- player
§ getPlayerPaddle()
| Paddle model.GameModel.getPlayerPaddle |
( |
| ) |
|
gets the user paddle object
- Returns
- p_player
§ setBall()
| void model.GameModel.setBall |
( |
int |
x, |
|
|
int |
y |
|
) |
| |
sets the x and y positions of a ball
- Parameters
-
| x | is the x position of the ball |
| y | is the y position of the ball |
- Exceptions
-
| ArithmeticException | ball position could not be set out of the game frame. |
§ setBomb()
| void model.GameModel.setBomb |
( |
int |
x, |
|
|
int |
y |
|
) |
| |
sets the x and y positions of a bomb
- Parameters
-
| x | is the x position of the bomb |
| y | is the y position of the bomb |
The ball object for the game
§ p_player
| Paddle model.GameModel.p_player |
|
private |
The two paddle in the game, one for the player and the other for the computer
§ player
The two players in the game, one for the user and the other for the computer
The documentation for this class was generated from the following file:


API reference¶
Resource |
Operation |
Description |
|---|---|---|
Message |
Send a message from a client to a user. |
|
Get users responses to client. |
||
Respond to client message. |
||
User Location |
List user locations. |
|
Add or update user location. |
||
Remove user location. |
Reference¶
-
GET
/locations
¶ List user locations.
If no cooridnates are supplied, all users will be returned.
- Query Parameters
longitude (float) – (optional) Longitude around which to fetch users.
latitude (float) – (optional) Latitude around which to fetch users.
- Response JSON Object
users (List[object]) – User list
-
POST
/locations/
(int: user_id)¶ Add or update user location.
- Request Headers
Authorization – Basic <myusername>:<mypassword>.
- Parameters
user_id (int) – User ID.
- Query Parameters
longitude (float) – Longitude around which to fetch users.
latitude (float) – Latitude around which to fetch users.
nick (string) – Nickname or alias for user.
- Response JSON Object
success (bool) – True if request was succesful.
-
DELETE
/locations/
(int: user_id)¶ Remove user and location.
Note
Locations are also expired automatically after a given period.
- Request Headers
Authorization – Basic <myusername>:<mypassword>.
- Parameters
user_id (int) – User ID.
- Response JSON Object
success (bool) – True if request was succesful.
-
POST
/messages
¶ Send a message from a client to a user.
- Request Headers
clientId – Unique client ID. Min length 25 characters.
- Request JSON Object
public_id (string) – Public ID of user to send message to.
message (string) – Message.
- Response JSON Object
success (bool) – True if request was succesful.
-
GET
/messages
¶ Get responses to client.
If a response to the clients message exists, it is returned. The returned messages are removed and are not returned on subsequent requests.
- Request Headers
clientId – Unique client ID. Min length 25 characters.
- Response JSON Object
responses (List[string]) – list of string responses. Eg.
{'responses': [{'public_id': 'abc123', 'response': 'accepted'}]}
.
-
POST
/messages/
(string: client_id)¶ Respond to client message.
- Request Headers
Authorization – Basic <myusername>:<mypassword>.
- Parameters
client_id – ID of receiving client.
- Request JSON Object
user_id (string) – User ID of responding user.
response (string) – Response message.
- Response JSON Object
success (bool) – True if request was succesful.


{% extends "base.html" %} {% load django_tables2 %} {% load django_bootstrap_breadcrumbs %} {% block head_title %}Teams{% endblock %} {% block breadcrumbs %} {% breadcrumb "Home" "/" %} {% breadcrumb "Teams" "team-list" %} {% breadcrumb object.name "team-detail" object.slug %} {% render_breadcrumbs "breadcrumbs.html" %} {% endblock %} {% block content %}
{{ object.name }} competed in the following competitions:
| Competition | Date |
|---|---|
| {{ competition.name }} | {{ competition.date }} |


--- layout: post title: Stand Well Back – Media Giant Pearson Releases Developer API | TechCrunch date: '2011-09-04T19:44:00.001+01:00' author: solrevdev tags: modified_time: '2011-09-04T19:44:16.543+01:00' blogger_id: tag:blogger.com,1999:blog-31446756.post-1920063927395420959 blogger_orig_url: http://www.solrevdev.com/2011/09/stand-well-back-media-giant-pearson.html ---
My old company releases an api...


The wordHasDefinition method returns a boolean indicator on whether or not the Apple Dictionary service was able to find the provided definition.
For a detailed example please see the app.js included in the example folder.
Before you can start using any of the module's functionality you need to use the require keyword to make the module accessible from JavaScript. To access this module from JavaScript, you would do the following:
var referenceLibrary = require('bencoding.dictionary').createReferenceLibrary();
The below example shows how to create the ReferenceLibrary object and check if the term provided, "life", has a definition available.
if(referenceLibrary.isSupported()){
Ti.API.info("Does Apple
know the meeting of life?");
var hasDefinition =
referenceLibrary.wordHasDefinition('life');
Ti.API.info("Definition found? => " + hasDefinition);
}else{
alert('This feature is not supported');
};
There are a few reasons why you would use this method. The most common is to check if your term has a definition before calling the showDialog.
If you call the wordHasDefinition and your device does not support the dictionary feature a boolean false will be returned for any term you lookup.
| Name | Type | Summary |
| term | String | See above for example |


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lcc.stars_processing.deciders package¶
Subpackages¶
Submodules¶
lcc.stars_processing.deciders.custom_decider module¶
-
class
lcc.stars_processing.deciders.custom_decider.
CustomDecider
(boundaries)¶ Bases:
lcc.stars_processing.utilities.base_decider.BaseDecider
This decider allows to specify ranges of coordinates got from descriptors. So there is no need to run learn method. Anyway it is implemented to be consistent with other deciders. Also it checks if boundaries and given coordinates match.
-
boundaries
¶ list, iterable – List of tuples of two values - lower and higher border value
-
threshold
¶ float – Treshold value for evaluating
-
evaluate
(star_coords)¶ Parameters: star_coords (list) – Coordinates of inspected star got from sub-filters Returns: Probability that inspected star belongs to the searched group of objects Return type: list of lists
-
learn
(right_coords=[], wrong_coords=[])¶ No need to learn this decider. Anyway it is implemented to be consistent with other deciders. Also it checks if boundaries and given coordinates match.
Parameters: - right_coords (list) – “Coordinates” of searched objects
- wrong_coords (list) – “Coordinates” of other objects
Returns: None
Return type: NoneType
-
lcc.stars_processing.deciders.neuron_decider module¶
-
class
lcc.stars_processing.deciders.neuron_decider.
NeuronDecider
(threshold=0.5, hidden_neurons=2, maxEpochs=1000)¶ Bases:
lcc.stars_processing.utilities.base_decider.BaseDecider
The class is responsible for learning to recognize certain group of objects by using NN. So far there just one architecture available:
- Three layered Feed Forward Network with Backpropagation Trainer:
- Input layer - LinearLayer Hidden layer - SigmoidLayer Output layer - SoftmaxLayer
-
hiden_neurons
¶ int – Number of hiden neurons.
-
OUTPUT_NEURONS
¶ int – Number of output neurons.
-
input_neurons
¶ int – Number of input neurons.
-
X_train
¶ numpy array of array of floats – Each item of the array contains specific “coordinates” of the train object in array.
-
X_test
¶ numpy array of array of floats – Each item of the array contains specific “coordinates” of the test object in array.
-
y_train
¶ numpy array of ints – Each item of the array contains a number of the group which the train object belongs. Position in the array corresponds to item in X_train.
-
y_test
¶ numpy array of ints – Each item of the array contains a number of the group which the test object belongs. Position in the array corresponds to item in X_test.
-
continueEpochs
¶ int – Number of epochs to continue for testing after convergence
-
maxEpochs
¶ int – Maximum number of epochs for training
-
OUTPUT_NEURONS
= 1
-
evaluate
(coords)¶ Find if inspected parameter-space coordinates belongs to searched object
- coords : list of lists
- Parameter-space coordinates of inspected objects
Returns: Probabilities of membership to searched group objects Return type: numpy.array
-
fit
(*args, **kwargs)¶
-
learn
(searched, others)¶ This method loads lists of specific values of searched objects and others. Then the sample will be divided into train and test samples according to user.
Parameters: - searched (iterable) – List of searched objects values (their “coordinates”)
- others (iterable) – List of other objects values (their “coordinates”)
Returns: None
Return type: NoneType
lcc.stars_processing.deciders.supervised_deciders module¶
-
class
lcc.stars_processing.deciders.supervised_deciders.
AdaBoostDec
(threshold=0.5, base_estimator=None, n_estimators=50, learning_rate=1.0, algorithm='SAMME.R', random_state=None)¶ Bases:
lcc.stars_processing.utilities.superv_base_decider.SupervisedBase
Sklearn implementation of RandomForestClassifier
http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html
-
class
lcc.stars_processing.deciders.supervised_deciders.
ExtraTreesDec
(threshold=0.5, n_estimators=10, criterion='gini', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features='auto', max_leaf_nodes=None, bootstrap=False, oob_score=False, n_jobs=1, random_state=None, class_weight=None)¶ Bases:
lcc.stars_processing.utilities.superv_base_decider.SupervisedBase
Sklearn implementation of RandomForestClassifier
http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html
-
class
lcc.stars_processing.deciders.supervised_deciders.
GaussianNBDec
(threshold=0.5, priors=None)¶ Bases:
lcc.stars_processing.utilities.superv_base_decider.SupervisedBase
Sklearn implementation of Gaussian Naive Bayes
http://scikit-learn.org/stable/modules/naive_bayes.html#gaussian-naive-bayes
-
class
lcc.stars_processing.deciders.supervised_deciders.
GradBoostDec
(threshold=0.5, loss='deviance', learning_rate=0.1, n_estimators=100, subsample=1.0, criterion='friedman_mse', min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_depth=3, init=None, random_state=None, max_features=None, max_leaf_nodes=None, presort='auto')¶ Bases:
lcc.stars_processing.utilities.superv_base_decider.SupervisedBase
Sklearn implementation of GradientBoosting
http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html
-
class
lcc.stars_processing.deciders.supervised_deciders.
LDADec
(threshold=0.5, solver='svd', shrinkage=None, priors=None, n_components=None, store_covariance=False, tol=0.0001)¶ Bases:
lcc.stars_processing.utilities.superv_base_decider.SupervisedBase
Sklearn implementation of Linear Discriminant Analysis
-
class
lcc.stars_processing.deciders.supervised_deciders.
QDADec
(threshold=0.5, priors=None, reg_param=0.0, store_covariances=False, tol=0.0001)¶ Bases:
lcc.stars_processing.utilities.superv_base_decider.SupervisedBase
Sklearn implementation of Quadratic Discriminant Analysis
-
class
lcc.stars_processing.deciders.supervised_deciders.
RandomForestDec
(threshold=0.5, n_estimators=10, criterion='gini', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features='auto', max_leaf_nodes=None, bootstrap=True, oob_score=False, n_jobs=1, random_state=None, class_weight=None)¶ Bases:
lcc.stars_processing.utilities.superv_base_decider.SupervisedBase
Sklearn implementation of RandomForestClassifier
http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html
-
class
lcc.stars_processing.deciders.supervised_deciders.
SVCDec
(threshold=0.5, C=1.0, kernel='rbf', degree=3, gamma='auto', coef0=0.0, shrinking=True, tol=0.001, cache_size=200, class_weight=None, verbose=False, max_iter=-1, decision_function_shape=None, random_state=None)¶ Bases:
lcc.stars_processing.utilities.superv_base_decider.SupervisedBase
Sklearn implementation of Support Vector Machines
-
class
lcc.stars_processing.deciders.supervised_deciders.
TreeDec
(threshold=0.5, criterion='gini', splitter='best', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=None, random_state=None, max_leaf_nodes=None, class_weight=None, presort=False)¶ Bases:
lcc.stars_processing.utilities.superv_base_decider.SupervisedBase
Sklearn implementation of Decision Trees
http://scikit-learn.org/stable/modules/tree.html
-
evaluate
(coords)¶ Get probability of membership
Parameters: coords (list of lists) – List of prameter space coordinates Returns: List of probabilities Return type: list of floats
-


Wales' Patchell and Davies to undergo surgery
Wales duo Rhys Patchell and Jonathan Davies face months out of action as they prepare to have surgery for injuries sustained in the Rugby World Cup, the Welsh Rugby Union (WRU) said on Tuesday.
REUTERS: Wales duo Rhys Patchell and Jonathan Davies face months out of action as they prepare to have surgery for injuries sustained in the Rugby World Cup, the Welsh Rugby Union (WRU) said on Tuesday.
Flyhalf half Patchell injured his shoulder in Wales' 40-17 defeat by New Zealand in the third place playoff while his Scarlets team mate Davies injured his knee earlier in the tournament in Japan.
"Patchell is expected to return to play between 12-16 weeks following a shoulder injury whereas Davies faces at least six months recovering from knee surgery," a WRU statement said.
Their recovery periods mean both players are set to miss the Six Nations tournament beginning in February next year, where Wales will look to defend their title.
Centre Davies sustained his injury in a Pool D match against Fiji but soldiered on and played with his knee heavily strapped in their final two matches of the tournament against South Africa and the All Blacks.
Patchell has struggled for fitness in the 2018-19 season with a series of concussion issues.
(Reporting by Shrivathsa Sridhar in Bengaluru; Editing by Christian Radnedge)


57th Street and Lake Shore Drive
Chicago, IL 60637Main:<PHONE_NUMBER>
TTY:<PHONE_NUMBER>
57th Street and Lake Shore Drive
Chicago, IL 60637
57th Street and Lake Shore Drive
Chicago, IL 60637
Central Park West at 79th Street, New York, NY, 10024-5192


--- name: apple-tablet-ipad layout: post title: "Apple Tablet: iPad" time: 2010-01-27 15:15:00 -04:00 comments: true ---
Exciting day! Apple finally unveiled their latest product: the iPad.
It runs iPhone OS 3.2 *at the moment*, although I’m sure it will see iPhone OS 4.0 at its release due to the amount of changes to support iPhone and iPad applications.
I’ve gone over the new SDK already, like what I’m seeing, and of course I am announcing an update to my bio: I’m now an iPad Developer, as well. :D


Log targets are the most important type of object in the Syslog-NG
configuration, as they bring together sources, filters and destinations to
determine exactly what is logged where. Each target has one or more sources,
zero or more filters (to select which messages to output), and one or more
destinations (to control where the messages are written). All of these
can be easily selected when you create or edit a log target.
This page lists all known targets, and allows you to add new ones, edit
existing ones, or delete several at once. Be careful editing the targets
that were setup by default, as this may change the contents and names
of critical system logs. It is generally safe to add your own targets though.


calculate leave 1 subject out accuracy for linear SVM syntax: [ percCorrect w ] = runSVMLeave1Out( featureVect, classLabels, numSamplesPerSubj, expLabels) Inputs: featureVect: (dim x numSamples) matrix of data classLabels: class labels, valued [0,1,2] for visualization, leave empty to not visualize. Originally, class 1 for learn, 0 for didn't learn, 2 for remove because unclear numSamplesPerSubj: as name implies, for splitting up the data into leave 1 subject out cross validation expLabels: optional input usually returned by 'getLeave1OutLabels' function which specifies how to partition the data for leave 1 subject out cross validation Outputs: percCorrect: percentage correctly classified by leave 1 subj out CV w: w vector returned by all the well labeled data predictedVsTrue: cell containing the [predeicted ; true] labels of the data for each fold of the cross validation Note, class 1 for learn, 0 for didn't learn, 2 for remove because unclear
0001 % calculate leave 1 subject out accuracy for linear SVM 0002 % 0003 % syntax: [ percCorrect w ] = runSVMLeave1Out( featureVect, classLabels, numSamplesPerSubj, expLabels) 0004 % 0005 % Inputs: 0006 % featureVect: (dim x numSamples) matrix of data 0007 % classLabels: class labels, valued [0,1,2] for visualization, leave empty to 0008 % not visualize. Originally, class 1 for learn, 0 for didn't learn, 0009 % 2 for remove because unclear 0010 % numSamplesPerSubj: as name implies, for splitting up the data into 0011 % leave 1 subject out cross validation 0012 % expLabels: optional input usually returned by 'getLeave1OutLabels' 0013 % function which specifies how to partition the data for leave 1 0014 % subject out cross validation 0015 % 0016 % Outputs: 0017 % percCorrect: percentage correctly classified by leave 1 subj out CV 0018 % w: w vector returned by all the well labeled data 0019 % predictedVsTrue: cell containing the [predeicted ; true] labels of the 0020 % data for each fold of the cross validation 0021 % 0022 % Note, class 1 for learn, 0 for didn't learn, 2 for remove because unclear 0023 0024 function [ percCorrect w predictedVsTrue ] = runSVMLeave1Out( featureVect, classLabels, ... 0025 numSamplesPerSubj, expLabels ) 0026 0027 % leave one subject out cross validation 0028 [ dim numSamples] = size( featureVect); 0029 0030 % center and scale variables to unit variance 0031 featureVect = featureVect - repmat( mean(featureVect,2), [1,numSamples] ); 0032 featStdev = std( featureVect, 0, 2); 0033 featureVect( featStdev ~= 0,:) = featureVect( featStdev ~= 0,:)./repmat(featStdev(featStdev ~= 0), [1,numSamples]); 0034 0035 if nargin < 4 || isempty(expLabels) 0036 expLabels = getLeave1OutLabels( numSamples, numSamplesPerSubj); 0037 end 0038 0039 numTrials = length(expLabels); 0040 numCorrect = 0; 0041 totalNumTest=0; 0042 options = ['-t 0 -h 0 -e .01' ]; %-t 0 for linear kernel, h 0 for shrinkage huristic 0043 0044 predictedVsTrue = cell( numTrials,1 ); 0045 0046 for i1 = 1:numTrials 0047 0048 trainLabels = classLabels(:,expLabels(i1).train); 0049 trainFeatures = featureVect(:,expLabels(i1).train); 0050 trainFeatures( :, trainLabels==2) = []; 0051 trainLabels( :, trainLabels==2) = []; 0052 0053 testLabels = classLabels(:,expLabels(i1).test); 0054 testFeatures = featureVect(:,expLabels(i1).test); 0055 testFeatures( :, testLabels==2) = []; 0056 testLabels( :, testLabels==2) = []; 0057 0058 if ~isempty( testLabels) 0059 model = svmtrain(trainLabels', trainFeatures', options ); 0060 [predicted, accuracy, probEst] = svmpredict(testLabels',testFeatures', model); 0061 numCorrect = numCorrect + accuracy(1)*.01*length(testLabels); 0062 totalNumTest = totalNumTest+length(testLabels); 0063 0064 predictedVsTrue{i1} = [ predicted'; testLabels]; 0065 0066 end 0067 0068 end 0069 percCorrect = numCorrect/totalNumTest; %length(classLabels~=2); 0070 0071 % normal vector of optimal hyperplane (ALL DATA) 0072 featureVect( :, classLabels==2) = []; 0073 classLabels( :, classLabels==2) = []; 0074 model = svmtrain(classLabels', featureVect', options ); 0075 w = sum( repmat( model.sv_coef', [dim,1]).*full(model.SVs'),2); 0076


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--- layout: default ---
| A holistic take on financial independence, and how to get there, from a uk-based mid twenty-something.

It's an attractive idea, but requires a decent amount of thought, and effort, to actually make it happen. You'll probably have to spend some time thinking about what you value in life too, which is always fun.
My aim is to help with that some of that stuff.
At its most basic level, Financial Independence relies on:
I've categorised things you need to think about into three areas. This site is a fun way for me to learn more about the ideas in each of the areas, and hopefully share my thoughts with anyone that cares.
📈 The mathematical and rational side of money:
🤑 The real-life (practical and emotional) side of money:
🔮 The philosophical or conceptual side of money:


Client type: light
Status: Loading Nimiq.
Account address: loading
Balance: loading
Current hashrate: loading
Current block height: loading
Current number of peers: loading


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 1
Dietary
Heat the oil in a saucepan. Add the squash and sauté for 2-3 minutes over a low to medium heat.
Add the garlic and shallot and cook for a further minute.
Add the stock and chopped tomato to the pan, bring to the boil and reduce the heat to simmer for 8-10 minutes, until the squash is soft.
Remove the pan from the heat and add the blue cheese. Blend with a hand blender and then pass through a sieve into a bowl.
Ladle the soup into serving bowls and serve.


--- title: Home --- Hello, I'm Arasu RRK. Professional .NET web developer currently working in Syncfusion Inc.
Professional .NET web developer currently working in Syncfusion Inc.


Lounge
Discussion about anything and everything
| Topic | Replies | Views | Last post |
|---|---|---|---|
| How do I change my Forum account password? | 3 | 2,291 | Greg Hurrell 13 December 2008 view » |
| How do I edit my FAT Table in WinHex | 1 | 3,421 | Greg Hurrell 05 February 2006 view » |
| Forum rules - keep it legal, don't break any NDAs | 1 | 2,895 | EamonStudent 03 February 2006 view » |
| Progress report | 27 | 5,226 | Greg Hurrell 19 April 2005 view » |
| Email of the Week | 2 | 1,319 | Greg Hurrell 20 December 2004 view » |


An injection is the passing of a dependency (a service) to a dependent object (a client). The service is made part of the client's state
- Increased reusability
- Increased readability
- Easier for unit testing
- Try to avoid creating an object inside a class. When the class creates this object, it takes the responsibility which shouldn't.
wikipedia


| 程序包 | 说明 |
|---|---|
| org.springframework.core.task |
This package defines Spring's core TaskExecutor abstraction,
and provides SyncTaskExecutor and SimpleAsyncTaskExecutor implementations.
|
| org.springframework.core.task.support |
Support classes for Spring's TaskExecutor abstraction.
|
| org.springframework.jca.work |
Convenience classes for scheduling based on the JCA WorkManager facility,
as supported within ResourceAdapters.
|
| org.springframework.jms.listener |
This package contains the base message listener container facility.
|
| org.springframework.scheduling |
General exceptions for Spring's scheduling support,
independent of any specific scheduling system.
|
| org.springframework.scheduling.commonj |
Convenience classes for scheduling based on the CommonJ WorkManager/TimerManager
facility, as supported by IBM WebSphere 6.0+ and BEA WebLogic 9.0+.
|
| org.springframework.scheduling.concurrent |
Scheduling convenience classes for the
java.util.concurrent
and javax.enterprise.concurrent packages, allowing to set up a
ThreadPoolExecutor or ScheduledThreadPoolExecutor as a bean in a Spring
context. |
| org.springframework.scheduling.config |
Support package for declarative scheduling configuration,
with XML schema being the primary configuration format.
|
| org.springframework.scheduling.quartz |
Support classes for the open source scheduler
Quartz,
allowing to set up Quartz Schedulers, JobDetails and
Triggers as beans in a Spring context.
|
| org.springframework.web.servlet.mvc.method.annotation |
MVC infrastructure for annotation-based handler method processing, building on the
org.springframework.web.method.annotation package. |
| org.springframework.web.socket.client.standard |
Client-side classes for use with standard Java WebSocket endpoints.
|
| org.springframework.web.socket.sockjs.client |
SockJS client implementation of
WebSocketClient . |
| 限定符和类型 | 接口和说明 |
|---|---|
interface |
AsyncListenableTaskExecutor
Extension of the
AsyncTaskExecutor interface, adding the capability to submit
tasks for ListenableFutures . |
interface |
AsyncTaskExecutor
Extended interface for asynchronous
TaskExecutor implementations,
offering an overloaded AsyncTaskExecutor.execute(Runnable, long) variant with a start
timeout parameter as well support for Callable . |
| 限定符和类型 | 类和说明 |
|---|---|
class |
SimpleAsyncTaskExecutor
TaskExecutor implementation that fires up a new Thread for each task,
executing it asynchronously. |
class |
SyncTaskExecutor
TaskExecutor implementation that executes each task synchronously
in the calling thread. |
| 限定符和类型 | 类和说明 |
|---|---|
class |
TaskExecutorAdapter
Adapter that takes a JDK
java.util.concurrent.Executor and
exposes a Spring TaskExecutor for it. |
| 构造器和说明 |
|---|
ConcurrentExecutorAdapter(TaskExecutor taskExecutor)
Create a new ConcurrentExecutorAdapter for the given Spring TaskExecutor.
|
ExecutorServiceAdapter(TaskExecutor taskExecutor)
Create a new ExecutorServiceAdapter, using the given target executor.
|
| 限定符和类型 | 方法和说明 |
|---|---|
protected long |
SimpleTaskWorkManager.executeWork(TaskExecutor taskExecutor,
Work work,
long startTimeout,
boolean blockUntilStarted,
ExecutionContext executionContext,
WorkListener workListener)
Execute the given Work on the specified TaskExecutor.
|
void |
SimpleTaskWorkManager.setSyncTaskExecutor(TaskExecutor syncTaskExecutor)
Specify the TaskExecutor to use for synchronous work execution
(i.e.
|
| 限定符和类型 | 方法和说明 |
|---|---|
protected TaskExecutor |
DefaultMessageListenerContainer.createDefaultTaskExecutor()
Create a default TaskExecutor.
|
| 限定符和类型 | 接口和说明 |
|---|---|
interface |
SchedulingTaskExecutor
A
TaskExecutor extension exposing
scheduling characteristics that are relevant to potential task submitters. |
| 限定符和类型 | 类和说明 |
|---|---|
class |
WorkManagerTaskExecutor
已过时。
as of 5.1, in favor of EE 7's
DefaultManagedTaskExecutor |
| 限定符和类型 | 类和说明 |
|---|---|
class |
ConcurrentTaskExecutor
Adapter that takes a
java.util.concurrent.Executor and exposes
a Spring TaskExecutor for it. |
class |
ConcurrentTaskScheduler
Adapter that takes a
java.util.concurrent.ScheduledExecutorService and
exposes a Spring TaskScheduler for it. |
class |
DefaultManagedTaskExecutor
JNDI-based variant of
ConcurrentTaskExecutor , performing a default lookup for
JSR-236's "java:comp/DefaultManagedExecutorService" in a Java EE 7 environment. |
class |
DefaultManagedTaskScheduler
JNDI-based variant of
ConcurrentTaskScheduler , performing a default lookup for
JSR-236's "java:comp/DefaultManagedScheduledExecutorService" in a Java EE 7 environment. |
class |
ThreadPoolTaskExecutor
JavaBean that allows for configuring a
ThreadPoolExecutor
in bean style (through its "corePoolSize", "maxPoolSize", "keepAliveSeconds", "queueCapacity"
properties) and exposing it as a Spring TaskExecutor . |
class |
ThreadPoolTaskScheduler
Implementation of Spring's
TaskScheduler interface, wrapping
a native ScheduledThreadPoolExecutor . |
| 限定符和类型 | 方法和说明 |
|---|---|
TaskExecutor |
TaskExecutorFactoryBean.getObject() |
| 限定符和类型 | 方法和说明 |
|---|---|
java.lang.Class<? extends TaskExecutor> |
TaskExecutorFactoryBean.getObjectType() |
| 限定符和类型 | 类和说明 |
|---|---|
class |
SimpleThreadPoolTaskExecutor
Subclass of Quartz's SimpleThreadPool that implements Spring's
TaskExecutor interface
and listens to Spring lifecycle callbacks. |
| 构造器和说明 |
|---|
ResponseBodyEmitterReturnValueHandler(java.util.List<HttpMessageConverter<?>> messageConverters,
ReactiveAdapterRegistry reactiveRegistry,
TaskExecutor executor,
ContentNegotiationManager manager)
Complete constructor with pluggable "reactive" type support.
|
| 限定符和类型 | 方法和说明 |
|---|---|
TaskExecutor |
AnnotatedEndpointConnectionManager.getTaskExecutor()
Return the configured
TaskExecutor . |
TaskExecutor |
EndpointConnectionManager.getTaskExecutor()
Return the configured
TaskExecutor . |
| 限定符和类型 | 方法和说明 |
|---|---|
void |
AnnotatedEndpointConnectionManager.setTaskExecutor(TaskExecutor taskExecutor)
Set a
TaskExecutor to use to open the connection. |
void |
EndpointConnectionManager.setTaskExecutor(TaskExecutor taskExecutor)
Set a
TaskExecutor to use to open connections. |
| 限定符和类型 | 方法和说明 |
|---|---|
TaskExecutor |
RestTemplateXhrTransport.getTaskExecutor()
Return the configured
TaskExecutor . |
| 限定符和类型 | 方法和说明 |
|---|---|
void |
RestTemplateXhrTransport.setTaskExecutor(TaskExecutor taskExecutor)
Configure the
TaskExecutor to use to execute XHR receive requests. |


Treatments
Calm Mind is your spa, where you select the treatments that best suit you. our therapists and estheticians will care and deliver results to you in the most personalized, professional manner possible. enjoy the spa amenities before and after your treatment. unwind in the spavia retreat room with your spa robe, spa sandals and a warm aromatherapy neck pillow for a relaxing experience.
Memberships
spa experience at an affordable price
Locations
stay connected...to you
Gift Cards
perfect gift forevery occasion


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BrainDrops
BrainDrops
Today
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Welcome
Welcome to
BrainDrops
. Your twitter style outerliner for all your thoughts you want to persist.


Activates a trap inside the castle. When activated, magic fire shoots from the trap, slowing those crossing it and engulfing them in flames.
These flames will consume friends as well as foes. Used with great care, this is one of the most effective security devices available.
Of course, it's not cheap!
Activate the trap near the east entrance of the 2nd floor.
Activate the trap near the west entrance of the 2nd floor.
Back


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Creating, destroying, configuring and reading configuration from getdns_contexts
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Creating, destroying, reading from and manipulating getdns_lists
Scheduling asynchronous requests
Performing synchronous requests
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Converting between getdns DNS dicts, DNS wire format and DNS presentation format
Converting strings to getdns data structures
Creating simple DNS servers
Deptricated utility functions
▼
Values and texts
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DNSSEC values and texts
Namespace types and texts
Resolution types and texts
Redirect policies and texts
Transport arrangements and texts
Transport list values and tests
Suffix appending values and texts
Context code values and texts
Callback types and texts
Types of name services and texts
Status Codes for responses and texts
Values associated with extensions and texts
Values associated with DNS errors found by the API and texts
RR Types
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Opcodes
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.
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Submit a bug report
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Email us: team@getdnsapi.net


Récipiendaires
- 2016 - Ontario EEE Conference
- 2013 - Ontario EEE Conference
- 2012 - Pacific Ecology and Evolution Conference
- 2011 - Pacific Ecology and Evolution Conference
- 2010 - Pacific Ecology and Evolution Conference
- 2009 - Pacific Ecology and Evolution Conference
- 2008 - Prairie Universities Biology Symposia
- 2007 - New Brunswick Graduate Student Conference
- 2004 - Prairie Universities Biology Symposia
- 2002 - University of Calgary Graduate Student Keynote Speaker


Screen.fullScreen 全屏
static var fullScreen : bool
Description描述
Is the game running fullscreen?
游戏是否运行在全屏模式？
It is possible to toggle fullscreen mode by changing this property:
改变这个属性，可以开关全屏模式：
using UnityEngine;
using System.Collections;
public class example : MonoBehaviour {
public void Awake() {
Screen.fullScreen = !Screen.fullScreen;
}
}
// Toggle fullscreen
//切换全屏
Screen.fullScreen = !Screen.fullScreen;
A fullscreen switch does not happen immediately; it will actually happen when the current frame is finished.
全屏开关不会立即发生，它实际发生是在当前帧完成时。
参考：SetResolution.
最后修改：2011年1月17日 Monday 23:18


| Figure 1 |
Malaria cases in Russia. Source: Russian Federal Service for ... |
| Figure 2 |
Dynamics of the average summer air temperature at the Mozhai ... |
| Figure 3 |
Moscow region geographical position. |
| Figure 4 |
Interrelation of the elements of malaria season (e.g., in Ce ... |
| Figure 5 |
Sums of effective temperatures accumulated in Moscow city an ... |
| Figure 6 |
Spatial distribution of changes in the sum of effective temp ... |
| Figure 7 |
Change in the duration of season of effective infectivity (S ... |
| Figure 8 |
Spatial distribution of changes in the duration of the SEI i ... |
| Figure 9 |
Changes in the K f (index of favorability) in the Moscow reg ... |
| Figure 10 |
Spatial distribution of changes in the K f (index of favorab ... |
| Figure 11 |
Changes in the degree of favorability of thermal regime for ... |


Maybe A Title
When I walk along with two others, from at least one I will be able to learn.
To be able under all circumstances to practice five things constitutes perfect virtue; these five things are gravity, generosity of soul, sincerity, earnestness and kindness.
To be able under all circumstances to practice five things constitutes perfect virtue; these five things are gravity, generosity of soul, sincerity, earnestness and kindness.
To be able under all circumstances to practice five things constitutes perfect virtue; these five things are gravity, generosity of soul, sincerity, earnestness and kindness.
When I walk along with two others, from at least one I will be able to learn.
To be able under all circumstances to practice six things constitutes perfect virtue; these six things are gravity, generosity of soul, sincerity, earnestness, kindness and vertical alignment.
LinkWhen I walk along with two others, from at least one I will be able to learn.


oxdpython.client¶
-
class
oxdpython.client.
Client
(config_location)[source]¶ Client is the main class that carries out the task of talking with the oxd server. The oxd commands are provided as class methods that are called to send the command to the oxd-server or the oxd-https-extension
Parameters: config_location (string) – The complete path of the location of the config file. Sample config at (https://github.com/GluuFederation/oxd-python/blob/master/sample.cfg) -
get_access_token_by_refresh_token
(refresh_token, scope=None)[source]¶ Function that is used to get a new access token using refresh token
Parameters: - refresh_token (str) – refresh_token from get_tokens_by_code command
- scope (list, optional) – a list of scopes. If not specified should grant access with scope provided in previous request
Returns: the tokens with expiry time.
Example response:
{ "access_token":"SlAV32hkKG", "expires_in":3600, "refresh_token":"aaAV32hkKG1" }
Return type: dict
Function to get the authorization url that can be opened in the browser for the user to provide authorization and authentication
Parameters: - acr_values (list, optional) – acr values in the order of priority
- prompt (string, optional) – prompt=login is required if you want to force alter current user session (in case user is already logged in from site1 and site2 constructs authorization request and want to force alter current user session)
- scope (list, optional) – scopes required, takes the one provided during site registrations by default
- custom_params (dict, optional) – Any custom arguments that the client wishes to pass on to the OP can be passed on as extra parameters to the function
Returns: The authorization url that the user must access for authentication and authorization
Return type: string
Raises: OxdServerError
– If the oxd throws an error for any reason.
-
get_client_token
(client_id=None, client_secret=None, op_host=None, op_discovery_path=None, scope=None, auto_update=True)[source]¶ Function to get the client token which can be used for protection in all future communication. The access token recieved by this method is stored in the config file and used as the protection_access_token for all subsequent calls to oxd.
Parameters: - client_id (str, optional) – client id from OP or from previous setup_client call
- client_secret (str, optional) – client secret from the OP or from setup_client call
- op_host (str, optional) – OP Host URL, default is read from the site configuration file
- op_discovery_path (str, optional) – op discovery path provided by OP
- scope (list, optional) – scopes of access required, default values are obtained from the config file
- auto_update (bool, optional) – automatically get a new access_token when the current one expires. If this is set to False, then the appliacation must call get_client_token when the token expires to update the client with a new access token.
Returns: The client token and the refresh token in the form.
Example response
{ "access_token":"6F9619FF-8B86-D011-B42D-00CF4FC964FF", "expires_in": 399, "refresh_token": "fr459f", "scope": "openid" }
Return type: dict
-
get_logout_uri
(id_token_hint=None, post_logout_redirect_uri=None, state=None, session_state=None)[source]¶ Function to logout the user.
Parameters: - id_token_hint (string, optional) – oxd server will use last used ID Token, if not provided
- post_logout_redirect_uri (string, optional) – URI to redirect, this uri would override the value given in the site-config
- state (string, optional) – site state
- session_state (string, optional) – session state
Returns: The URI to which the user must be directed in order to perform the logout
Return type: string
-
get_tokens_by_code
(code, state)[source]¶ Function to get access code for getting the user details from the OP. It is called after the user authorizes by visiting the auth URL.
Parameters: - code (string) – code, parse from the callback URL querystring
- state (string) – state value parsed from the callback URL
Returns: The tokens object with the following data structure.
Example response:
{ "access_token": "<token string>", "expires_in": 3600, "refresh_token": "<token string>", "id_token": "<token string>", "id_token_claims": { "iss": "https://server.example.com", "sub": "24400320", "aud": "s6BhdRkqt3", "nonce": "n-0S6_WzA2Mj", "exp":<PHONE_NUMBER>, "iat":<PHONE_NUMBER>, "at_hash": "MTIzNDU2Nzg5MDEyMzQ1Ng" } }
Return type: dict
Raises: OxdServerError
– If oxd server throws an error OR if the params code and scopes are of improper data type.
-
get_user_info
(access_token)[source]¶ Function to get the information about the user using the access code obtained from the OP
Note
Refer to the /.well-known/openid-configuration URL of your OP for the complete list of the claims for different scopes.
Parameters: access_token (string) – access token from the get_tokens_by_code function Returns: The user data claims that are returned by the OP in format Example response:
{ "sub": ["248289761001"], "name": ["Jane Doe"], "given_name": ["Jane"], "family_name": ["Doe"], "preferred_username": ["j.doe"], "email"<EMAIL_ADDRESS>"picture": ["http://example.com/janedoe/me.jpg"] }
Return type: dict Raises: OxdServerError
– If the param access_token is empty OR if the oxd Server returns an error.
-
register_site
()[source]¶ Function to register the site and generate a unique ID for the site
Returns: The ID of the site (also called client id) if the registration is successful Return type: string Raises: OxdServerError
– If the site registration fails.
-
setup_client
()[source]¶ The command registers the client for communication protection. This will be used to obtain an access token via the Get Client Token command. The access token will be passed as a protection_access_token parameter to other commands.
Note
If you are using the oxd-https-extension, you must setup the client
Returns: the client setup information Example response:
{ "oxd_id":"6F9619FF-8B86-D011-B42D-00CF4FC964FF", "op_host": "<op host>", "client_id":"<client id>", "client_secret":"<client secret>", "client_registration_access_token":"<Client registration access token>", "client_registration_client_uri":"<URI of client registration>", "client_id_issued_at":"<client_id issued at>", "client_secret_expires_at":"<client_secret expires at>" }
Return type: dict
-
uma_rp_get_claims_gathering_url
(ticket)[source]¶ UMA RP function to get the claims gathering URL.
Parameters: ticket (str) – ticket to pass to the auth server. for 90% of the cases, this will be obtained from ‘need_info’ error of get_rpt Returns: string specifying the claims gathering url
-
uma_rp_get_rpt
(ticket, claim_token=None, claim_token_format=None, pct=None, rpt=None, scope=None, state=None)[source]¶ Function to be used by a UMA Requesting Party to get RPT token.
Parameters: - ticket (str, REQUIRED) – ticket
- claim_token (str, OPTIONAL) – claim token
- claim_token_format (str, OPTIONAL) – claim token format
- pct (str, OPTIONAL) – pct
- rpt (str, OPTIONAL) – rpt
- scope (list, OPTIONAL) – scope
- state (str, OPTIONAL) – state that is returned from uma_rp_get_claims_gathering_url command
Returns: The response from the OP
Success Response:
{ "status":"ok", "data":{ "access_token":"SSJHBSUSSJHVhjsgvhsgvshgsv", "token_type":"Bearer", "pct":"c2F2ZWRjb25zZW50", "upgraded":true } }
Return type: dict
Raises: OxdServerError
– When oxd-server reports a generic internal_errorInvalidTicketError
– When the oxd server returns a “invalid_ticket” errorNeedInfoError
– When the oxd server returns the “need_info” error. The details of the error can be obtained from the exception as a dict as shown below:try: rpt = client.uma_rp_get_rpt('ticket') except NeedInfoError as e: details = e.details
The details dict:
{ "error":"need_info", "ticket":"ZXJyb3JfZGV0YWlscw==", "required_claims":[ { "claim_token_format":[ "http://openid.net/specs/openid-connect-core-1_0.html#IDToken" ], "claim_type":"urn:oid:0.9.2342.192003<IP_ADDRESS>", "friendly_name":"email", "issuer":["https://example.com/idp"], "name":"email23423453ou453" } ], "redirect_user":"https://as.example.com/rqp_claims?id=2346576421" }
-
uma_rs_check_access
(rpt, path, http_method)[source]¶ Function to be used in a UMA Resource Server to check access.
Parameters: - rpt (string) – RPT or blank value if absent (not send by RP)
- path (string) – Path of resource (e.g. for http://rs.com/phones, /phones should be passed)
- http_method (string) – DELETE)
Returns: The access information received in the format below. If the access is granted:
{ "access": "granted" }
If the access is denied with ticket response:
{ "access": "denied", "www-authenticate_header": "UMA realm='example', as_uri='https://as.example.com', error='insufficient_scope', ticket='016f84e8-f9b9-11e0-bd6f-0021cc6004de'", "ticket": "016f84e8-f9b9-11e0-bd6f-0021cc6004de" }
If the access is denied without ticket response:
{ "access": "denied" }
If the resource is not Protected:
{ "error": "invalid_request", "error_description": "Resource is not protected. Please protect your resource first with uma_rs_protect command." }
Return type: dict
-
uma_rs_protect
(resources)[source]¶ Function to be used in a UMA Resource Server to protect resources.
Parameters: resources (list) – list of resource to protect. See example at <https://gluu.org/docs/oxd/3.1.1/api/#uma-rs-protect-resources>_ Returns: The status of the request. Return type: bool
-
update_site_registration
()[source]¶ Function to update the site’s information with OpenID Provider. This should be called after changing the values in the cfg file.
Returns: The status for update. True for success and False for failure Return type: bool Raises: OxdServerError
– When the update fails and oxd server returns error
-


 Nigeria launched its first national sexual offenders register on Monday, setting up a database of those convicted for sexual violence in a move seen as an important step towards clamping down on abuse.
The "Sexual Offender Register" will contain the names of all those prosecuted for sexual violence in Africa's most populous nation since 2015.
The record will be available online to better help the public, state bodies and police conduct background checks and identify repeat offenders.
Suspects who are cleared will also be recorded in a part of the register only available to law enforcement agencies, amid concerns by campaigners that the majority of sexual offenders escape prosecution due to failings in the justice system.
At the launch in the capital, Abuja, Nigeria minister for humanitarian affairs, Sadiya Farouq, praised the initiative.
"The register will serve as a strategy to stop those engaged in violence against women," she said.
Advertisement
Farouq said the humanitarian and security crisis in northeast Nigeria caused by a decade-long jihadist insurgency had seen a rise in cases of sexual abuse which needed to be addressed.
Ordinary citizens will be able to access the register, which is managed by Nigeria's National Agency for the Prohibition of Trafficking Persons (NAPTIP) and is funded mainly by the European Union.
An initial group of 15 NGOs will monitor police and media reports across Nigeria and update the register on a monthly basis.

Currently, only two of Nigeria's 36 states -- Lagos and Ekiti -- keep databases of those convicted of sexual offences.


Sarah Kendall's panel show appearances
Sarah Kendall has appeared in 11 episodes between 2006-2017. Sarah Kendall on Wikipedia. Sarah Kendall on Chortle.
- 2017-09-22 / The News Quiz
- 2017-07-20 / Do The Right Thing
- 2017-05-05 / The News Quiz
- 2016-10-14 / The News Quiz
- 2016-05-06 / The News Quiz
- 2016-01-15 / The News Quiz
- 2015-11-10 / Alan Davies: As Yet Untitled
- 2015-09-19 / The News Quiz
- 2015-06-04 / Best Behaviour
- 2013-03-27 / Dilemma
- 2006-10-13 / The News Quiz


2 Kings 4:12
And he said to Gehazi his servant, Call this Shunammite. And when he had called her, she stood before him.


Let me set the stage, with regards to the storytellers. I am in my 40's, and have been an avid psychonaut since the early 70's. LSD was always my favorite psychedelic, and I have taken many heroic doses over the years. I always considered mushrooms a lightweight substance compared to acid. I don't trip as much as I used to for a couple of reasons. First off, as I get older, the sources for these substances are fewer, I just don't run with a druggie crowd anymore. And second, as I get older, the opportunity to trip in an ideal setting just doesn't happen much, between family, kids and work.
Recently, I had an opportunity to get some 'shrooms, and decided to try and take a good sized dose at a music festival, where I had my own camping spot. Taking larger does of mushrooms has always been difficult because of the grossness of eating the darn things. It's torture for me to down one 1/8 ounce, not to mention 2 of them, so I tried a simple method: put them in a coffee grinder, which reduced them instantly to a fine powder, which I mixed with some chocolate milk, and drank the mix in seconds. Piece of cake! Right after I drank it, I went out and about and chatted with various friends, who did not know I had dosed.
They started coming on in minutes. Within 15 minutes it was coming on pretty strong, but since it was after dark, I hung around a little longer until the headrushes became so strong I knew I needed some time to myself, so I wandered on back to my tent. Once I got in there, I could see how hard I was tripping. There were patterns everywhere, breathing, moving, etc., and the closed eye visuals involved extremely complex multicolored visions. 'Ah, this is very nice', I thought and settled back.
But I kept getting higher, and higher. The visions became stronger and stronger, and I remember muttering 'Oh man, oh man,' and then I was brought into a psychedelic place I had NEVER been before. I was somehow out of my head, although still in my tent, and I could see myself, partially. I say partially, because I had three separate views or vantage points going on, as if I had three sets of eyes, each with its own trip. Occasionally, one set would get a glimpse of me, and sometimes another set of eyes would, and so on.
This was an outrageously intense feeling, and I was holding my head, and kneeling, thinking I may have finally overdone and blown my mind. I wondered seriously if I could take any more of this, and wondered what that meant, exactly. Can anybody handle being spaced three times at once? What would I do? Should I run out of the tent screaming? Should I take all off my clothes and dance around?
My hands clenched and unclenched, my mouth yawned so hard it seemed my head would split in two. I opened my eyes so wide it seemed my eyeballs would pop out of my head. Sounds coming into the tent from outside seemed to swirl around my head. Intensely kinetic multicolored visuals rushed all around me at a frenetic pace, from every direction, from within and from without. There was no distinction between closed-eye or open-eye visuals. It simply didn't matter whether my eyes were open or closed.
 Nobody out in the campground would be able to help me. I decided I didnít need help, and gradually I beat back the fear that had threatened to overwhelm me. I regained a sense of wonder and happiness, and, when things seemed quiet enough outside the tent that I could get out without having to talk to someone, I did.
Every little lantern in every campsite seemed as bright as the sun. Looking around, the world seemed squished down, or flattened. Horizontal distances seemed lengthened, even as the trees and sky seemed to be too close. I wandered around the edge of the campground, staggered is a better word, and let my mind fly in a million directions as I walked around. I still had an urge to get naked, and had to remind myself several times that it would be a bad idea. I didn't really want to talk with anyone, and the sounds of talking and laughter had a bizarre zooming or swooshing quality. It was impossible to tell where ANY sounds were coming from, so I made my way back to my tent after a while, and stayed there through the night.
One good thing about 'shrooms, when the trip's over, it's really over, so by morning I was unbelievably tired, but done tripping. There was a bit of a body-load to the trip too, I had terrible heartburn, and was sore from laying on the hard ground all night. It was the first time, after tripping hundreds of times over dozens of years that I even got a hint of what 'bad trip' is. I'm glad I was able to regroup, but if I hadn't been so experienced, it would have been a terrifying ordeal. As it turned out, it was one of the most profound (if not THE most profound) psychedelic experience I've ever had.
You know what the weirdest thing is? I can't WAIT to try this again. I think I'd like to do it somewhere where I wouldn't know anybody. I like talking with strangers while tripping.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


B&W Gallery
Gdańsk - the most recognized view
Gdańsk - the old town
Cracow - Cloth Hall - symbolic building
Cracow - Little Market
Żyrardów - small town - industrial past
Cracow - Grunwald Monument
Warsaw - Palace on the water
Cracow - Market Square
All photos were taken and processed by Maciej Preus@Copyright2019


LSD.topological_sorting¶
-
class
LSD.topological_sorting.
Order
(source, sink)[source]¶ A order representation. Get a vertex on an arbitrary position in O(1). Get the position of an arbitrary vertex in O(1).
-
__init__
(source, sink)[source]¶ Init the order set source position -1 and sink and None position to infinity
-
n
¶ Get the length of the order.
-
-
LSD.topological_sorting.
check_pre
(v, g, order)[source]¶ Check if all predecessors have already been placed.
-
LSD.topological_sorting.
toposort
(g)[source]¶ Do a topological ordering of the graph. It does a lineare version of a deep first search. The recusive version of the same algorithm would look like this:
def toposort(g): order = Order(g.a, g.b) rec_call(g.a, order, g, lambda v: check_pre(v, g, order)) return order def rec_call(v, order, g, check_predecessor): for child in g.successors(v): if check_predecessor(child): order.add(child) rec_call(child, order, g, check_predecessor)


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mvc-ng-boilerplate
is an opinionated kickstarter for web
development projects based on ng-boilerplate
. It's an attempt to create a simple starter for new
web sites and apps: just download it and start coding. The goal is to
have everything you need to get started out of the box; of course it has
slick styles and icons, but it also has a best practice directory structure
to ensure maximum code reuse. Additionally, it is ready for VS 2012 MVC4 so
you don't have to struggle with wiring the two architectures together. And it's all tied together with a robust
build system chock-full of some time-saving goodness.
Because every website should start the same, and AngularJS has become my client-side framework of choice. We start websites the same way every time: create a directory structure, copy and ever-so-slightly tweak some config files from an older project, and yada yada, etc., and so on and so forth. Why are we repeating ourselves? We wanted a starting point; a set of best practices that we could identify our projects as embodying and a set of time-saving wonderfulness, because time is money.
There are other similar projects out there, but none of them suited our
needs. Some are awesome but were just too much, existing more as reference
implementations, when we really just wanted a kickstarter. Others were just
too little, with puny build systems and unscalable architectures. None integrated with
Visual Studio which is the tool I have to use and wanted the WebAPI backend. So I
designed mvc-ng-boilerplate
to be just right.
This is not an example of an AngularJS app. This is a kickstarter. It has a demo section
in the about page to show you how to interact with the REST WebAPI, but that's it. If
you're looking for an example of what a complete, non-trivial AngularJS app
that does something real looks like, complete with a REST backend and
authentication and authorization, then take a look at angular-app
,
which does just that, and does it well.
This section is just a quick introduction to all the junk that comes
pre-packaged with mvc-ng-boilerplate
. For information on how to
use it, see the project page at
GitHub.
The high-altitude view is that the base project includes Twitter Bootstrap styles to quickly produce slick-looking responsive web sites and apps. It also includes UI Bootstrap, a collection of native AngularJS directives based on the aforementioned templates and styles. It also includes Font Awesome, a wicked-cool collection of font-based icons that work swimmingly with all manner of web projects; in fact, all images on the site are actually font- based icons from Font Awesome. Neat! Lastly, this also includes Angular Placeholders, a set of pure AngularJS directives to do client-side placeholder images and text to make mocking user interfaces super easy.
And, of course, mvc-ng-boilerplate
is built on AngularJS,
by the far the best JavaScript framework out there! But if you don't know
that already, then how did you get here? Well, no matter - just drink the
Kool Aid. Do it. You know you want to.
You already know about this, right? If not, hop on over and check it out; it's pretty sweet. Anyway, all that wonderful stylistic goodness comes built in. The LESS files are available for you to import in your main stylesheet as needed - no excess, no waste. There is also a dedicated place to override variables and mixins to suit your specific needs, so updating to the latest version of Bootstrap is as simple as:
> cd vendor/twitter-bootstrap
> git pull origin master
Boom! And victory is ours.
What's better than Bootstrap styles? Bootstrap directives! The fantastic UI Bootstrap library contains a set of native AngularJS directives that are endlessly extensible. You get the tabs, the tooltips, the accordions.  And more. How about a quick demo?
Oh, and don't include jQuery; you don't need it. This is better. Don't be one of those people. *
* Yes, there are exceptions.
Font Awesome has earned its label. It's a set of open (!) icons that come distributed as a font (!) for super-easy, lightweight use. Font Awesome works really well with Twitter Bootstrap, and so fits right in here.
There is not a single image on this site. All of the little images and icons are drawn through Font Awesome! All it takes is a little class:

And you get one of these: . Neat!
Angular Placeholders is a simple library for mocking up text and images. You can automatically throw around some "lorem ipsum" text:

Which gives you this:
Even more exciting, you can also create placeholder images, entirely client-side! For example, this:

Gives you this:
Which is awesome.
This is a project that is not broad in scope, so there's not really much of a wish list here.


Since it’s inception in the 90s the web has seen an explosion in the number and range of different web technologies used for building websites. However, if you have never created a website in your life then this can all be very daunting and initially offputting for someone wanting to take the plunge and get into web development seriously. In this introductory guide I’ll be helping to demystify some of the key terms and concepts that every web developer should know or be aware of.
Elliot Forbes
April 16, 2017
TutorialEdge.net


#include <ICNewtonMovable.hpp>
Inheritance diagram for gpx::phy2d::ICNewtonMovable:
Public Member Functions | |
| virtual void | mountImpulse (const Impulse &impulse, const math::const_VectorPtr< 2 > &point)=0 |
| Mount impulse. | |
| virtual void | roundAwayImpulse (Impulse &impulse, const NewtonCollisionData &cData, bool normal)=0 |
| Round away impulse. |
| virtual void gpx::phy2d::ICNewtonMovable::mountImpulse | ( | const Impulse & | impulse, | |
| const math::const_VectorPtr< 2 > & | point | |||
| ) | [pure virtual] |
Mount impulse.
| impulse | impulse. | |
| point | point. |
Implemented in gpx::phy2d::CMaterialBody, and gpx::phy2d::CRigidBody.
| virtual void gpx::phy2d::ICNewtonMovable::roundAwayImpulse | ( | Impulse & | impulse, | |
| const NewtonCollisionData & | cData, | |||
| bool | normal | |||
| ) | [pure virtual] |
Round away impulse.
Just before impulse is mounted, object may modify its state according to prepared collision data. Function may be also used to round away impulse from machine epsilon truncation.
| impulse | impulse. | |
| cData | collision data. | |
| normal | true if impulse is normal, false when parallel. |
Implemented in gpx::phy2d::CMaterialBody, and gpx::phy2d::CRigidBody.


#include <string.h> char *strtok(char *str, const char *delim); char *strtok_r(char *str, const char *delim, char **saveptr);
Feature Test Macro Requirements for glibc (see feature_test_macros(7)):
strtok_r(): _SVID_SOURCE || _BSD_SOURCE || _POSIX_C_SOURCE >= 1 || _XOPEN_SOURCE || _POSIX_SOURCE
The delim argument specifies a set of bytes that delimit the tokens in the parsed string. The caller may specify different strings in delim in successive calls that parse the same string.
Each call to strtok() returns a pointer to a null-terminated string containing the next token. This string does not include the delimiting byte. If no more tokens are found, strtok() returns NULL.
A sequence of calls to strtok() that operate on the same string maintains a pointer that determines the point from which to start searching for the next token. The first call to strtok() sets this pointer to point to the first byte of the string. The start of the next token is determined by scanning forward for the next nondelimiter byte in str. If such a byte is found, it is taken as the start of the next token. If no such byte is found, then there are no more tokens, and strtok() returns NULL. (A string that is empty or that contains only delimiters will thus cause strtok() to return NULL on the first call.)
The end of each token is found by scanning forward until either the next delimiter byte is found or until the terminating null byte ('\0') is encountered. If a delimiter byte is found, it is overwritten with a null byte to terminate the current token, and strtok() saves a pointer to the following byte; that pointer will be used as the starting point when searching for the next token. In this case, strtok() returns a pointer to the start of the found token.
From the above description, it follows that a sequence of two or more contiguous delimiter bytes in the parsed string is considered to be a single delimiter, and that delimiter bytes at the start or end of the string are ignored. Put another way: the tokens returned by strtok() are always nonempty strings. Thus, for example, given the string "aaa;;bbb,", successive calls to strtok() that specify the delimiter string ";," would return the strings "aaa" and "bbb", and then a null pointer.
The strtok_r() function is a reentrant version strtok(). The saveptr argument is a pointer to a char * variable that is used internally by strtok_r() in order to maintain context between successive calls that parse the same string.
On the first call to strtok_r(), str should point to the string to be parsed, and the value of saveptr is ignored. In subsequent calls, str should be NULL, and saveptr should be unchanged since the previous call.
Different strings may be parsed concurrently using sequences of calls to strtok_r() that specify different saveptr arguments.
The strtok_r() function is thread-safe.
An example of the output produced by this program is the following:
$ ./a.out 'a/bbb///cc;xxx:yyy:' ':;' '/' 1: a/bbb///cc --> a --> bbb --> cc 2: xxx --> xxx 3: yyy --> yyy
#include <stdio.h> #include <stdlib.h> #include <string.h> int main(int argc, char *argv[]) { char *str1, *str2, *token, *subtoken; char *saveptr1, *saveptr2; int j; if (argc != 4) { fprintf(stderr, "Usage: %s string delim subdelim\n", argv[0]); exit(EXIT_FAILURE); } for (j = 1, str1 = argv[1]; ; j++, str1 = NULL) { token = strtok_r(str1, argv[2], &saveptr1); if (token == NULL) break; printf("%d: %s\n", j, token); for (str2 = token; ; str2 = NULL) { subtoken = strtok_r(str2, argv[3], &saveptr2); if (subtoken == NULL) break; printf(" --> %s\n", subtoken); } } exit(EXIT_SUCCESS); }
Another example program using strtok() can be found in getaddrinfo_a(3).


Amit Shah kicks off Jharkhand poll campaign, promises development
Shah thanked the Jharkhand unit of the party for giving him the opportunity to launch the poll campaign from Latehar district, the land of legendary freedom fighter Birsa Munda.
by PTIMANIKA (Jharkhand): BJP president Amit Shah kicked off his party's campaign for the Jharkhand assembly polls on Thursday with the promise of catapulting the state to the top position in terms of development.
He lauded the Raghubar Das government for "freeing" the state of the Naxal menace in the last five years.
"Atal ji (Atal Bihari Vajpayee) created Jharkhand and Narendra Modi will embellish and spruce it up," he told an election rally in Manika.
"People kept dying, youth sacrificed their lives, but the dream of statehood remained unfulfilled under Congress rule," he said.
Shah thanked the Jharkhand unit of the party for giving him the opportunity to launch the poll campaign from Latehar district, the land of legendary freedom fighter Birsa Munda.


This webpage it is going to be all images: image tag should be almost exhaustively disccussed:
The key topics to be handled are:-
- Basic image element and attributes
- Images as hyperlinks(hotspots)
- Image maps
Basic image
The two images one aligned right and left are examples of basic images
They have specified height,width,hspace and vspace. A border has also been added to them.They also have an alternative text for bowsers with no support for images or where images are disabled.
< img src = "url" width ="" height ="" alt ="Text|String">
hotspots
The following images are hotspots to my other webpages and one to external websites
This is possible by using the image tag within an anchor tag i.e
< a href = "url" >< img src ="img url" / >< /a>
| First Webpage |
lecture2 |
lecture3 |
lecture4 |
lecture5 |
google.com |
*n/b For this section view fullscreen on desktop mode for optimum view
image maps
Normal webpage stored in gif or jpg format, an image with a clickable area
- components of the image map
- image
- set of map data
- HTML host entry
- types of image-mapping
- server-sided mapping : Older and more compatible with web browsers
- client-sided mapping : newer Requires 2 elements
- graphical map provided by the < img > tag
- instruction code provided by the < map > tag


Before Change
// This is going to be less prone to overflow errors
log_prob_lambda = lambda function_samples: log_normal_cdf(function_samples.mul(observations))
log_prob = self.quadrature(log_prob_lambda, function_dist)
return log_prob.sum(tuple(range(len(function_dist.event_shape))))
After Change
// This is going to be less prone to overflow errors
log_prob_lambda = lambda function_samples: log_normal_cdf(function_samples.mul(observations))
log_prob = self.quadrature(log_prob_lambda, function_dist)
return log_prob.sum(-1)


Bindings to 'Tesseract' <https://opensource.google.com/projects/tesseract>: a powerful optical character recognition (OCR) engine that supports over 100 languages. The engine is highly configurable in order to tune the detection algorithms and obtain the best possible results.
| Version: | 4.0 |
| Imports: | Rcpp (≥ 0.12.12), pdftools (≥ 1.5), curl, rappdirs, digest |
| LinkingTo: | Rcpp |
| Suggests: | magick (≥ 1.7), spelling, knitr, tibble, rmarkdown |
| Published: | 2018-11-02 |
| Author: | Jeroen Ooms [aut, cre] tesseract author details |
| Maintainer: | Jeroen Ooms <jeroen at berkeley.edu> |
| BugReports: | https://github.com/ropensci/tesseract/issues |
| License: | Apache License 2.0 |
| URL: | https://github.com/ropensci/tesseract |
| NeedsCompilation: | yes |
| SystemRequirements: | Tesseract >= 3.03 (libtesseract-dev / tesseract-devel) and Leptonica (libleptonica-dev / leptonica-devel). On Debian you need to install the English training data separately (tesseract-ocr-eng) |
| Language: | en-US |
| Materials: | NEWS |
| In views: | NaturalLanguageProcessing |
| CRAN checks: | tesseract results |
| Reference manual: | tesseract.pdf |
| Vignettes: |
Using the Tesseract OCR engine in R |
| Package source: | tesseract_4.0.tar.gz |
| Windows binaries: | r-devel: tesseract_4.0.zip, r-release: tesseract_4.0.zip, r-oldrel: tesseract_4.0.zip |
| OS X binaries: | r-release: tesseract_4.0.tgz, r-oldrel: tesseract_4.0.tgz |
| Old sources: | tesseract archive |
| Reverse suggests: | ezpickr, imagerExtra, magick, textreadr |
Please use the canonical form https://CRAN.R-project.org/package=tesseract to link to this page.


Philippines' Cebu Air signs deal for US$4.8 billion Airbus aircraft
MANILA: Philippines' Cebu Air Inc has finalised the purchase of 16 long-range Airbus A330neo jets worth US$4.8 billion at list prices, the airline said on Monday (Nov 4).
The budget carrier, which operates 74 aircraft, mostly Airbus A320s, under the brand Cebu Pacific, is turning to larger and fuel-efficient jets for expansion, despite limited slots at the main gateway in the Philippine capital.
Scheduled to be delivered between 2021 and 2024, the 16 A330neo aircraft will be deployed on routes in the Philippines, Asia, Australia and the Middle East, Cebu Air said in a statement.
READ: Planemakers race for wide-body orders in Asia showdown
Reuters first reported that Cebu Air was close to buying A330neo or Boeing 787 aircraft in May.
In June, Cebu Air signed a signed a memorandum of understanding to acquire 16 A330neos, 10 A321XLRs and five A320neos, worth about US$6 billion in total at list prices, during the Paris Air Show.
The new Airbus aircraft will cut fuel emissions and costs per seat, said Cebu Air Chief Executive Lance Gokongwei, adding that it would also help maximise seating capacity and the airline's valuable slots in Manila and other major Asian cities.


echo "# React-Self-Study" >> README.md
git init
git add README.md
git commit -m "first commit"
git branch -M master
git remote add origin https://github.com/bgoonz/React-Self-Study.git
git push -u origin master
git remote add origin https://github.com/bgoonz/React-Self-Study.git
git branch -M master
git push -u origin master
You can initialize this repository with code from a Subversion, Mercurial, or TFS project.


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Shenmue 3 runs with 62-102fps in 4K/Very High settings on the NVIDIA GeForce RTX2080Ti
by John PapadopoulosDeep Silver has finally released Shenmue 3 on the PC. The game uses Unreal Engine 4 and is exclusive on the Epic Games Store. Deep Silver has provided us with a review code so before publishing our PC Performance Analysis, we’ve decided to share some 4K/Very High screenshots from it. Alongside these screenshots, we’ll be also sharing our initial 4K performance impressions.
In order to capture these screenshots, we used an Intel i9 9900K with 16GB of DDR4 at 3600Mhz. Naturally, we’ve paired this machine with an NVIDIA RTX 2080Ti. We also used Windows 10 64-bit and the GeForce 441.20 driver.
Shenmue 3 runs with 62-102fps in 4K/Very High settings on the NVIDIA GeForce RTX2080Ti. Now as you may notice, there are some screenshots from the prologue cut-scene. In that particular cut-scene, our framerate was all over the place and from the looks of it, that area is really unoptimized. As such, we’ll be using the main village for our PC benchmarks.
What’s really funny here is that the game does not come with any graphics settings. YsNet is only offering a preset via which PC gamers can set their graphics quality to Low/Medium/High/Very High.
We’ll talk more about the PC technical aspects of Shenmue 3 in our upcoming PC Performance Analysis. Until then, enjoy the following screenshots!