kalmanfilter package¶
Submodules¶
scripts.clean_KF module¶
-
tests.cleann_KF.
create_kf_and_assign_predict_update
(dim_z, X, P, A, Q, dt, R, H, B, U)¶ Parameters: tuple (configs) – all the values to define the kalman filter Returns: Kalman Filter
-
tests.cleann_KF.
preprocess
(num_measured, measured_var, covar, process_model, white_noise_var, dt, sensor_covar, measurement_function, B=0, U=0)¶ Parameters: - num_measured – size of measurement vector. For example: if there is only one sensor that measures position x then num_measured = 1 # noqa: E501, W291
- measured_var – Mean state variables vector For example: State variables can be either observed (directly measured by a sensor) or # noqa: E501 hidden variables (inferred from observed variables). For a sensor that measures the x (position - e.x 10) # noqa: E501 of a car, we can infer the velocity (dx - e.x 4.5) Therefore mean state variable vector is [10, 4.5].T for a 2d case measured_var = (10,4.5) # noqa: W291
- covar – Covariance matrix of all state variables For example: if the variance of x = 500 and dx = 49 and the correlation is unknown # noqa: E501 covar = ((500,0),(0,49))
- process_model –
Transition matrix for process For example: The relationship between x and dx is: x’ = 1* x + (dt) dx where dt = 0.1 # noqa: E501
dx’ = 0* x + (1) dx (for our purposes)Then process_model= ((1, 0.1), (0, 1))
- white_noise_var – Variance of noise in process (float)
- dt – time step (in seconds)
- sensor_covar – Variance in sensor measurement (noise) For example: If only one sensor is used to measure x sensor_covar = (5) If two sensors are used to measure x and dx sensor_covar = (5,0),(0,2) etc
- measurement_function – Converts state to measurement For example: if the measurement is x from the sensor but the state variable is x and dx then in matrix form : x - [1 0] [x, dx] = x - x Measurement_function = (1,0)
- B – Control input matrix
- U – Control input
Returns: all the variables above in np.array form
-
tests.cleann_KF.
run_kf
(data, dim_of_measurements, measured_var, covar, process_model, white_noise_var, dt, sensor_covar, measurement_function)¶ This runs the kalman filter on noisy data entered :return: Filtered data, covariances and kalman filter used
-
tests.cleann_KF.
run_smoother
(kf, xs, ps)¶ Parameters: - kf – Kalman filter used in filter step
- xs – filtered data
- ps – covariances
Returns: x = smoothed data, P = covariances
-
tests.cleann_KF.
visualise
(x, y, x_messy, x_real=None)¶ Parameters: - x – filterd/smoothed data
- y – covariances
- x_real – real data
- x_messy – raw measurements from sensors
Returns: plot comparing raw data and smooth/filtered data
Module contents¶
-
tests.cleann_KF.
create_kf_and_assign_predict_update
(dim_z, X, P, A, Q, dt, R, H, B, U) Parameters: tuple (configs) – all the values to define the kalman filter Returns: Kalman Filter
-
tests.cleann_KF.
preprocess
(num_measured, measured_var, covar, process_model, white_noise_var, dt, sensor_covar, measurement_function, B=0, U=0) Parameters: - num_measured – size of measurement vector. For example: if there is only one sensor that measures position x then num_measured = 1 # noqa: E501, W291
- measured_var – Mean state variables vector For example: State variables can be either observed (directly measured by a sensor) or # noqa: E501 hidden variables (inferred from observed variables). For a sensor that measures the x (position - e.x 10) # noqa: E501 of a car, we can infer the velocity (dx - e.x 4.5) Therefore mean state variable vector is [10, 4.5].T for a 2d case measured_var = (10,4.5) # noqa: W291
- covar – Covariance matrix of all state variables For example: if the variance of x = 500 and dx = 49 and the correlation is unknown # noqa: E501 covar = ((500,0),(0,49))
- process_model –
Transition matrix for process For example: The relationship between x and dx is: x’ = 1* x + (dt) dx where dt = 0.1 # noqa: E501
dx’ = 0* x + (1) dx (for our purposes)Then process_model= ((1, 0.1), (0, 1))
- white_noise_var – Variance of noise in process (float)
- dt – time step (in seconds)
- sensor_covar – Variance in sensor measurement (noise) For example: If only one sensor is used to measure x sensor_covar = (5) If two sensors are used to measure x and dx sensor_covar = (5,0),(0,2) etc
- measurement_function – Converts state to measurement For example: if the measurement is x from the sensor but the state variable is x and dx then in matrix form : x - [1 0] [x, dx] = x - x Measurement_function = (1,0)
- B – Control input matrix
- U – Control input
Returns: all the variables above in np.array form
-
tests.cleann_KF.
run_kf
(data, dim_of_measurements, measured_var, covar, process_model, white_noise_var, dt, sensor_covar, measurement_function) This runs the kalman filter on noisy data entered :return: Filtered data, covariances and kalman filter used
-
tests.cleann_KF.
run_smoother
(kf, xs, ps) Parameters: - kf – Kalman filter used in filter step
- xs – filtered data
- ps – covariances
Returns: x = smoothed data, P = covariances
-
tests.cleann_KF.
visualise
(x, y, x_messy, x_real=None) Parameters: - x – filterd/smoothed data
- y – covariances
- x_real – real data
- x_messy – raw measurements from sensors
Returns: plot comparing raw data and smooth/filtered data


{% load cog_utils %}
|
Earth System CoG Sponsors and Partners
CoG was developed under grants from the National Science Foundation
and the National Oceanic and Atmospheric Administration, and in
partnership with the Department of Energy Office of Science, the
National Aeronautics and Space Administration, and the Infrastructure
for the European Network for Earth System Modeling project, which
is supported by the European Union. Data archive and search is provided
by the Earth System Grid Federation.
|


Email Spam Detection using Pre-Trained BERT Model : Part 2 - Model Fine Tuning
Recently I have been looking into Transformer based machine learning models for natural language tasks. The field of NLP has changed tremendously in the last few years and I have been fascinated by the new architectures and tools that come out at the same time. Transformer models are one such architecture.
As the frameworks and tools to build transformer models keep evolving, the documentation often becomes stale and blog posts are often confusing. So for any one topic, you may find multiple approaches which can confuse beginners.
So as I am learning these models, I am planning to document the steps to do a few of the essential tasks in the simplest way possible. This should help any beginner like me to pick up transformer models.
In this two-part series, I will be discussing how to train a simple model for email spam classification using a pre-trained transformer BERT model. This is the second post in the series where I will be discussing fine-tuning the model for spam detection. You can read all the posts in the series here.
Data Preparation and Tokenization
Please make sure you have gone through the first part of the series where we discussed about how to prepare our data using bert tokenization. You can find the same in the below link.
Email Spam Detection using Pre-Trained BERT Model: Part 1 - Introduction and Tokenization.
Model Fine Tuning
Once the tokenization is done, we are now ready to fine-tune the model.
A pre-trained model comes with a body and head. In most of the use cases, we only retrain the head part of the model. So that’s why we call it fine-tuning rather than retraining. You can read more about the head and body of a transformer model at the below link.
https://huggingface.co/course/chapter1/4.
1.Download Model
As we did with the tokenizer, we will download the model using hugging face library.
The above downloads a dummy sequence classification model head which needs to be tuned with data.
2. Training Arguments
Training arguments are where you set various options for given model training. For simplicity, we are going to use default ones.
3. Evaluation Metrics
For our training, we are going to use accuracy as an evaluation metric. The below code sets up a method to calculate the same from the model.
In the above code, np.argmax line converts logits returned from model prediction to labels so that, they can be compared with actual labels.
4. Trainer
Let’s create trainer with below code.
Trainer API of hugging face handles all the batching and looping needed for fine-tuning the model.
5. Run the Train
Once trainer object is created, we can run the train the model using train method call.
Find Accuracy on Testing Dataset
Once the model is trained, we can find how well our model is doing using accuracy on test dataset.
In above code, we are using trainer.predict method to predict on our test dataset.
Then we find the accuracy score using same function we defined at the time of train. The output will be
As you can see we are getting 97% accuracy which is really good.
Code
Complete code for the post is in below google colab notebook.
https://colab.research.google.com/drive/1d3-22HNkuLCqP1ctemMaMw1ETaWL48ET?usp=sharing.
You can also access python notebook on github.
https://github.com/phatak-dev/transformer-models/blob/main/Spam_Detection_using_BERT_Model.ipynb.
Conclusion
In this post, we saw how to fine-tune a pre-trained model using hugging face API. These two posts give you end to end flow of fine-tuning a transformer model.


Monitoring Identity Management
Prerequisites
Note
The Mobile Metrics service and Identity Management service must be provisioned in the same OpenShift project to access data.
Overview
After the Metrics service (includes Grafana tool and Prometheus monitoring system) and Keycloak service are provisioned, you should be able to see the "Keycloak Metrics" in the list of available dashboards (navigate to Grafana’s exposed URL → Log in → Home → Select Keycloak Metrics)
Dashboard’s panels description
Keycloak dashboard consists of several panels which give you overview of the specific events, such as number of registered users, memory usage etc.
See below for the detailed description of each panel and its values


|
appbase-search-widget
v0.1.6
A multi-purpose search widget which works both with offline and online databases(Appbase or ElasticSearch cluster). The search widget contains multiple functionalities like Voice Search, Smart Search, Analytics, etc.
|
Classes | |
| interface | ItemClickListener |
| interface | OnSearchActionListener |
| interface | TextChangeListener |
Public Member Functions | |
| SearchBar (Context context, AttributeSet attributeSet) | |
| SearchBar (Context context, AttributeSet attributeSet, int defStyleAttr) | |
| SearchBar (Context context, AttributeSet attributeSet, int defStyleAttr, int defStyleRes) | |
| void | inflateMenu (int menuResource) |
| void | inflateMenu (int menuResource, int icon) |
| PopupMenu | getMenu () |
| void | setOnSearchActionListener (OnSearchActionListener onSearchActionListener) |
| void | disableSearch () |
| void | enableSearch () |
| void | showSuggestionsList () |
| void | hideSuggestionsList () |
| void | clearSuggestions () |
| boolean | areSuggestionsVisible () |
| boolean | areSuggestionsEnabled () |
| void | setSuggestionsEnabled (boolean suggestionsEnabled) |
| void | setMenuIcon (int menuIconResId) |
| void | setSearchIcon (int searchIconResId) |
| void | setArrowIcon (int arrowIconResId) |
| void | setClearIcon (int clearIconResId) |
| void | setNavIconTint (int navIconTint) |
| void | setMenuIconTint (int menuIconTint) |
| void | setSearchIconTint (int searchIconTint) |
| void | setArrowIconTint (int arrowIconTint) |
| void | setClearIconTint (int clearIconTint) |
| void | setIconRippleStyle (boolean borderlessRippleEnabled) |
| void | setHint (CharSequence hintText) |
| void | setPlaceHolderText (CharSequence placeHolderText) |
| CharSequence | getPlaceHolderText () |
| void | setMenuDividerEnabled (boolean menuDividerEnabled) |
| void | setSpeechMode (boolean speechMode) |
| boolean | isVoicePermissionGranted () |
| void | setVoicePermissionGranted (boolean state) |
| boolean | isSpeechModeEnabled () |
| boolean | isSearchEnabled () |
| void | setMaxSuggestionCount (int maxSuggestionsCount) |
| void | setCustomSuggestionAdapter (SuggestionsAdapter suggestionAdapter) |
| List | getLastSuggestions () |
| void | setLastSuggestions (List suggestions) |
| void | updateLastSuggestions (List suggestions) |
| void | setSuggestionsClickListener (SuggestionsAdapter.OnItemViewClickListener listener) |
| void | setTextColor (int textColor) |
| void | setTextHintColor (int hintColor) |
| void | setPlaceHolderColor (int placeholderColor) |
| void | setTextHighlightColor (int highlightedTextColor) |
| void | setDividerColor (int dividerColor) |
| void | setNavButtonEnabled (boolean navButtonEnabled) |
| void | setRoundedSearchBarEnabled (boolean roundedSearchBarEnabled) |
| void | setCardViewElevation (int elevation) |
| String | getText () |
| void | setText (String text) |
| void | addTextChangeListener (TextWatcher textWatcher) |
| EditText | getSearchEditText () |
| TextView | getPlaceHolderView () |
| void | onClick (View v) |
| void | onAnimationStart (Animation animation) |
| void | onAnimationEnd (Animation animation) |
| void | onAnimationRepeat (Animation animation) |
| void | onFocusChange (View v, boolean hasFocus) |
| boolean | onEditorAction (TextView v, int actionId, KeyEvent event) |
| void | OnItemClickListener (int position, View v) |
| void | OnItemDeleteListener (int position, View v) |
| boolean | dispatchKeyEvent (KeyEvent event) |
| void | setAppbaseClient (String url, String appName, String username, String password, String type) |
| void | setAppbaseClient (String url, String appName, String username, String password) |
| String | search (SearchPropModel searchPropModel, String query) throws ExecutionException, InterruptedException |
| SearchProp | setSearchProp (String componentId, ArrayList< String > dataFields) |
| String | getRequestedQuery (SearchPropModel searchPropModel) |
| void | setLoggingQuery (boolean state) |
| void | setOnTextChangeListener (TextChangeListener textChangeListener) |
| void | startSearch (final SearchPropModel searchPropModel, final ItemClickListener itemClickListener) |
| void | startVoiceSearch (final SearchPropModel searchPropModel, final ItemClickListener itemClickListener) |
| DefaultClientSuggestions | buildCustomSuggestions (SearchPropModel searchPropModel, ArrayList< String > suggestions) |
| Analytics | setAnalyticsProps () |
| String | getAnalytics (AnalyticsModel analyticsModel) |
Protected Member Functions | |
| Parcelable | onSaveInstanceState () |
| void | onRestoreInstanceState (Parcelable state) |
| void com.harsh.searchwidget.SearchBar.addTextChangeListener | ( | TextWatcher | textWatcher | ) |
Add text watcher to searchbar's EditText
| textWatcher | textWatcher to add |
| boolean com.harsh.searchwidget.SearchBar.areSuggestionsEnabled | ( | ) |
Check if suggestions are enabled
| boolean com.harsh.searchwidget.SearchBar.areSuggestionsVisible | ( | ) |
Check if suggestions are shown
| DefaultClientSuggestions com.harsh.searchwidget.SearchBar.buildCustomSuggestions | ( | SearchPropModel | searchPropModel, |
| ArrayList< String > | suggestions | ||
| ) |
Returns object of DefaultClientSuggestions model to modify the search results as required before setting the DefaultClientSuggestionsAdapter
| searchPropModel | Model which is returned on building the search prop |
| suggestions | List of suggestions |
| void com.harsh.searchwidget.SearchBar.clearSuggestions | ( | ) |
Clears the suggestions list
| void com.harsh.searchwidget.SearchBar.disableSearch | ( | ) |
Hides search input and close arrow
| void com.harsh.searchwidget.SearchBar.enableSearch | ( | ) |
Shows search input and close arrow
| String com.harsh.searchwidget.SearchBar.getAnalytics | ( | AnalyticsModel | analyticsModel | ) |
Provides analytics for the given search id (previous search id by default)
| analyticsModel | Analytics Model with all the necessary properties |
| List com.harsh.searchwidget.SearchBar.getLastSuggestions | ( | ) |
Returns the last search queries. The queries are stored only for the duration of one activity session. When the activity is destroyed, the queries will be deleted. To save queries, use the method getLastSuggestions(). To recover the queries use the method setLastSuggestions().
List< String > will be returned if You don't use custom adapter.
| PopupMenu com.harsh.searchwidget.SearchBar.getMenu | ( | ) |
Get popup menu
| CharSequence com.harsh.searchwidget.SearchBar.getPlaceHolderText | ( | ) |
Returns the place holder text
| String com.harsh.searchwidget.SearchBar.getRequestedQuery | ( | SearchPropModel | searchPropModel | ) |
The query built using search prop parameters and which can be directly passed into Appbase search client
| searchPropModel | Model which is returned on building the search prop |
| String com.harsh.searchwidget.SearchBar.getText | ( | ) |
Get search text
| void com.harsh.searchwidget.SearchBar.inflateMenu | ( | int | menuResource | ) |
Inflate menu for searchBar
| menuResource | - menu resource |
| void com.harsh.searchwidget.SearchBar.inflateMenu | ( | int | menuResource, |
| int | icon | ||
| ) |
Inflate menu for searchBar with custom Icon
| menuResource | - menu resource |
| icon | - icon resource id |
| boolean com.harsh.searchwidget.SearchBar.isSearchEnabled | ( | ) |
Check if search bar is in edit mode
| boolean com.harsh.searchwidget.SearchBar.isSpeechModeEnabled | ( | ) |
True if MaterialSearchBar is in speech mode
| boolean com.harsh.searchwidget.SearchBar.isVoicePermissionGranted | ( | ) |
Checks if the voice recording permission is granted for the device Also sets the state of speechPermissionGranted variable
| String com.harsh.searchwidget.SearchBar.search | ( | SearchPropModel | searchPropModel, |
| String | query | ||
| ) | throws ExecutionException, InterruptedException |
Gives response for the requested query using Appbase client
| query | JSON structured body |
| ExecutionException | |
| InterruptedException |
| Analytics com.harsh.searchwidget.SearchBar.setAnalyticsProps | ( | ) |
Initiates Analytics Prop
| void com.harsh.searchwidget.SearchBar.setAppbaseClient | ( | String | url, |
| String | appName, | ||
| String | username, | ||
| String | password, | ||
| String | type | ||
| ) |
Initiates the Appbase client for giving additional functionality to search bar
| url | URL of the ElasticSearch host server (If application is hosted on appbase.io, url should be https://scalr.api.appbase.io) |
| appName | Name of the app (aka search index) |
| username | Username for basic auth (String before ':' in credentials string) |
| password | Password for given username (String after ':' in credentials string) |
| type | Type to be queried |
| void com.harsh.searchwidget.SearchBar.setAppbaseClient | ( | String | url, |
| String | appName, | ||
| String | username, | ||
| String | password | ||
| ) |
Initiates the Appbase client for giving additional functionality to search bar - with default type
| url | URL of the ElasticSearch host server (If application is hosted on appbase.io, url should be https://scalr.api.appbase.io) |
| appName | Name of the app (aka search index) |
| username | Username for basic auth (String before ':' in credentials string) |
| password | Password for given username (String after ':' in credentials string) |
| void com.harsh.searchwidget.SearchBar.setArrowIcon | ( | int | arrowIconResId | ) |
Set back arrow icon drawable
| arrowIconResId | icon resource id |
| void com.harsh.searchwidget.SearchBar.setArrowIconTint | ( | int | arrowIconTint | ) |
Set the tint color of the back arrow icon
| arrowIconTint | arrow icon color |
| void com.harsh.searchwidget.SearchBar.setCardViewElevation | ( | int | elevation | ) |
Set CardView elevation
| elevation | desired elevation |
| void com.harsh.searchwidget.SearchBar.setClearIcon | ( | int | clearIconResId | ) |
Set clear icon drawable
| clearIconResId | icon resource id |
| void com.harsh.searchwidget.SearchBar.setClearIconTint | ( | int | clearIconTint | ) |
Set the tint color of the clear icon
| clearIconTint | clear icon tint |
| void com.harsh.searchwidget.SearchBar.setCustomSuggestionAdapter | ( | SuggestionsAdapter | suggestionAdapter | ) |
Sets a custom adapter for suggestions list view.
| suggestionAdapter | customized adapter |
| void com.harsh.searchwidget.SearchBar.setHint | ( | CharSequence | hintText | ) |
Sets search bar hintText
| hintText | hintText text |
| void com.harsh.searchwidget.SearchBar.setIconRippleStyle | ( | boolean | borderlessRippleEnabled | ) |
Show a borderless ripple(circular) when icon is pressed Borderless only available on SDK V21+
| borderlessRippleEnabled | true for borderless, false for default |
| void com.harsh.searchwidget.SearchBar.setLastSuggestions | ( | List | suggestions | ) |
Sets the array of recent search queries. It is advisable to save the queries when the activity is destroyed and call this method when creating the activity.
Pass a List< String > if You don't use custom adapter.
| suggestions | an array of queries |
| void com.harsh.searchwidget.SearchBar.setLoggingQuery | ( | boolean | state | ) |
Sets the value of parameter used for checking whether to log requested query for debugging
| state | Boolean state of the logging parameter |
| void com.harsh.searchwidget.SearchBar.setMaxSuggestionCount | ( | int | maxSuggestionsCount | ) |
Specifies the maximum number of search queries stored until the activity is destroyed
| maxSuggestionsCount | maximum queries |
| void com.harsh.searchwidget.SearchBar.setMenuIcon | ( | int | menuIconResId | ) |
Set Menu Icon Drawable
| menuIconResId | icon resource id |
| void com.harsh.searchwidget.SearchBar.setMenuIconTint | ( | int | menuIconTint | ) |
Set the tint color of the menu icon
| menuIconTint | menu icon color |
| void com.harsh.searchwidget.SearchBar.setNavButtonEnabled | ( | boolean | navButtonEnabled | ) |
Set navigation drawer menu icon enabled
| navButtonEnabled | icon enabled |
| void com.harsh.searchwidget.SearchBar.setNavIconTint | ( | int | navIconTint | ) |
Set the tint color of the navigation icon
| navIconTint | nav icon color |
| void com.harsh.searchwidget.SearchBar.setOnSearchActionListener | ( | OnSearchActionListener | onSearchActionListener | ) |
Register listener for search bar callbacks.
| onSearchActionListener | the callback listener |
| void com.harsh.searchwidget.SearchBar.setOnTextChangeListener | ( | TextChangeListener | textChangeListener | ) |
Registers listener for text change callbacks
| textChangeListener | Text change callbacks |
| void com.harsh.searchwidget.SearchBar.setPlaceHolderColor | ( | int | placeholderColor | ) |
Set placeholder text color
| placeholderColor | placeholder color |
| void com.harsh.searchwidget.SearchBar.setPlaceHolderText | ( | CharSequence | placeHolderText | ) |
Sets search bar placeholder text
| placeHolderText | Text to be shown while search bar is disabled |
| void com.harsh.searchwidget.SearchBar.setRoundedSearchBarEnabled | ( | boolean | roundedSearchBarEnabled | ) |
Enable capsule shaped SearchBar (API 21+)
| roundedSearchBarEnabled | capsule shape enabled @ |
| void com.harsh.searchwidget.SearchBar.setSearchIcon | ( | int | searchIconResId | ) |
Set search icon drawable
| searchIconResId | icon resource id |
| void com.harsh.searchwidget.SearchBar.setSearchIconTint | ( | int | searchIconTint | ) |
Set the tint color of the search/speech icon
| searchIconTint | search icon color |
| SearchProp com.harsh.searchwidget.SearchBar.setSearchProp | ( | String | componentId, |
| ArrayList< String > | dataFields | ||
| ) |
Initiates Search prop
| componentId | Unique identifier of the component |
| dataFields | Data field(s) on which search query is to be applied to |
| void com.harsh.searchwidget.SearchBar.setSpeechMode | ( | boolean | speechMode | ) |
sets the speechMode for the search bar. If set to true, microphone icon will display instead of the search icon. Also clicking on this icon will trigger the callback method onButtonClicked()
| speechMode | enable speech |
| void com.harsh.searchwidget.SearchBar.setSuggestionsClickListener | ( | SuggestionsAdapter.OnItemViewClickListener | listener | ) |
Allows you to intercept the suggestions click event
This method will not work with custom Suggestion Adapter
| listener | click listener |
| void com.harsh.searchwidget.SearchBar.setSuggestionsEnabled | ( | boolean | suggestionsEnabled | ) |
Set suggestions enabled
| void com.harsh.searchwidget.SearchBar.setText | ( | String | text | ) |
Set search text
| text | text |
| void com.harsh.searchwidget.SearchBar.setTextColor | ( | int | textColor | ) |
Set search input text color
| textColor | text color |
| void com.harsh.searchwidget.SearchBar.setTextHighlightColor | ( | int | highlightedTextColor | ) |
Set the color of the highlight when text is selected
| highlightedTextColor | selected text highlight color |
| void com.harsh.searchwidget.SearchBar.setTextHintColor | ( | int | hintColor | ) |
Set text input hintText color
| hintColor | text hintText color |
| void com.harsh.searchwidget.SearchBar.setVoicePermissionGranted | ( | boolean | state | ) |
Sets the state of speechPermissionGranted variable
| state | Whether voice recording permission is granted or not |
| void com.harsh.searchwidget.SearchBar.startSearch | ( | final SearchPropModel | searchPropModel, |
| final ItemClickListener | itemClickListener | ||
| ) |
Starts on text change callbacks to be handled by the listener. Call this method after setting TextChangeListener to start its functionality
| searchPropModel | Model which is returned on building the search prop |
| itemClickListener | Listener to handle callbacks from click and long click events |
| void com.harsh.searchwidget.SearchBar.startVoiceSearch | ( | final SearchPropModel | searchPropModel, |
| final ItemClickListener | itemClickListener | ||
| ) |
Starts voice search functionality The method first checks whether voice recording permission is given for the device
| searchPropModel | Model which is returned on building the search prop |
| itemClickListener | Listener to handle callbacks from click and long click events |
| void com.harsh.searchwidget.SearchBar.updateLastSuggestions | ( | List | suggestions | ) |
Changes the array of recent search queries with animation.
Pass a List< String > if You don't use custom adapter.
| suggestions | an array of queries |


4.9. Unsupported Types
Before we explore each standard type, we conclude this chapter by giving a list of types that are not supported by Python.
char or byte
Python does not have a char or byte type to hold either single character or 8-bit integers. Use strings of length one for characters and integers for 8-bit numbers.
pointer
Since Python manages memory for you, there is no need to access pointer addresses. The closest to an address that you can get in Python is by looking at an object's identity using the id() BIF. Since you have no control over this value, it's a moot point. However, under Python's covers, everything is a pointer.
int versus short versus long
Python's plain integers are the universal "standard" integer type, obviating the need for three different integer types, e.g., C's int, short, and long. For the record, Python's integers are implemented as C longs. Also, since there is a close relationship between Python's int and long types, users have even fewer things to worry about. You only need to use a single type, the Python integer. Even when the size of an integer is exceed, for example, multiplying two very large numbers, Python automatically gives you a long back instead of overflowing with an error.
float versus double
C has both a single precision float type and double-precision double type. Python's float type is actually a C double. Python does not support a single-precision floating point type because its benefits are outweighed by the overhead required to support two types of floating point types. For those wanting more accuracy and willing to give up a wider range of numbers, Python has a decimal floating point number too, but you have to import the decimal module to use the Decimal type. Floats are always estimations. Decimals are exact and arbitrary precision. Decimals make sense concerning things like money where the values are exact. Floats make sense for things that are estimates anyway, such as weights, lengths, and other measurements.
|


Came to bring change, not to save my seat: PM Imran
by https://www.facebook.com/dunyanewsMIANWALI (Dunya News) – Prime Minister Imran Khan on Friday said that he has not come to power to protect his seat but to protect the country against the corrupt mafia and he will not give any deal or relaxation to this mafia as it will amount to treason.
Addressing a public gathering in Mianwali on Friday after performing groundbreaking of a number of welfare projects, in health, education, water and communications sectors, he said that this mafia is a threat to the country.
Also Read: Nawaz Sharif s health recovered with just a glance of London-bound airplane: PM Imran
The prime minister went on to say that those who were standing on the containers are actually scared of the success of the government on the economic front, adding that they are also scared that we will recover the plundered amount from them.
Imran Khan said that the provincial governments of Punjab and Khyber Pakhtunkhwa are going to introduce new municipal system which Pakistan always lacked.
He stressed that foreign countries made progress owing to effective municipal system, whereas, power has still not been transferred at the municipal level in Pakistan. He vowed to grant funds to villages under the new system as local body elections are scheduled after a few months.
The PM told that his government inherited historic financial loss worth 19.5 billion. Exports were less than imports which resulted in the rupee devaluation, he added.
The price of UD dollar, which is now Rs155, could have gone to Rs250 but our government did not let that happen, Imran Khan told.
Alluding to the economic challenges inherited by present government, PM Imran Khan said the economic indicators have now been put on the positive trajectory as a result of the policies of his economic team. He said rupee has stabilized and the current account deficit has been reduced for the first time in four years. He said the country has been put on the right direction.


Women in Computing and Technology at Miami Univeristy in Oxford, Ohio
Learn MoreACM-W supports and advocates for women in technology to promote advancement in the computing industry. We fight for a world where women are confident in their skills and motivated to broaden their horizons in STEM.
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The world needs automation and I am here to help!
As part of UC San Diego’s “Designing Human-Data Interactions” course, I was tasked in a team of three to extend or redesign a feature that helps a specific type of user to save for a major upcoming high-cost purchase.
Within the ten-week time frame of the course, our team learned about the
UX/product design process that included need finding, competitive audits, and
high-fidelity prototyping.
My main roles in this project were:
I view these three roles as very important especially the one with the competitive analysis and auditing because change within the design process happens very often; it tends to cover up our old decisions and the reasons why the decisions were essential in the first place.
By extending the Mint app, our team hopes to further motivate young students to be more active in saving money.
Our team has decided to use young students as our target user. We believe the younger generation of students are an ideal target user because students should learn at a younger age to start saving money whether it would be for big or small purchases; this would allow saving money to grow into a beneficial habit.
By using our feature, our users should be able to:
“Young students especially those who are interested in personal finance need to be more motivated when using personal finance apps to promote a more active effort towards saving money.”
At some point in their life, everyone experienced having a flow of income for their first time. For many, it can be overwhelming. But as time goes on, we all realize that a little effort done periodically can go a long way. Setting money aside to gradually accumulate for certain purchases would ensure a more active/flexible way of saving money. It can be extremely effective, fun, and simple. It is easy to become demotivated from constantly checking bank applications or money management apps like Mint. Such applications are very general and stationary in financial planning, and do little besides just listing numbers. With a lighthearted money saving app focused on achievements and user satisfaction, the biggest issue in money management will be tackled: motivation. Since Mint is one of the most popular apps for young adults to be managing their personal wealth, we chose to extend this feature onto it. Therefore, our project aims to help youths via Mint learn to manage their money and to keep them motivated consistently to save up for a high-cost purchase.
Before we started to design our feature, we conducted a survey on the local
student population through a Google Form that was sent out to popular UCSD
Facebook pages. We figured a survey would preserve anonymity so people would
not
have to associate their financial habits with their identities. Our survey process also allowed us to gain an understanding of not just students, but also teens
and young adults with their first jobs.
The major findings of our survey are summarized below:
1.) Students have good control over their money, yet they often do not commit to saving periodically for large purchases
2.) Students are discouraged when trying to save up.
3.) Students do not have a structured way of saving their money for specific purchases.
“It is a process, not something dreamt overnight!”
The key principle of motivation in money management was inspired by the innovative features offered by Mint’s competitors [Digit, Qapital Banking, and Acorns(formerly)] and by Mint’s pre-existing integrations (Acorns). However, the most important feature for motivation that was absent in all of these apps was an achievement system which was mainly inspired by the language-learning app, Duolingo.
Thus, to gauge how we should improve Mint, we performed a competitive audit and concluded that Mint (along with its integration with Acorns) needed to include an achievement system along with more user-defined goals.
When it came to prototyping, our group created UX flows, UI sketches, low-fidelity paper prototypes, high-fidelity prototypes. This gradual process of prototyping allowed us to evolve our designs while receiving much needed feedback at each stage.
UX Flows
Before we design our feature onto Mint, we had to create UX flows that envisioned how our user was to navigate within the app to either create their goals or to manage their achievements.
Flow 1: Managing User Goals (Click to View)
Flow 2: Managing User Achievements (Click to View)
UX Sketches
After the creation of UX flows, we created UI sketches to either conform to
our UX flows or redefine our thought process.
UI Sketches (Click to View)
Low Fidelity Paper Prototypes
Once the UI sketches were completed, it was time to craft our low-fidelity
paper prototpyes, these were very crucial for understanding how the user
initially went through the app and how certain features were anticipated or
hindered their experience. For example, our users were annoyed in the goal
details page that the graph did not provide much detail / statistics and that
they would have to navigate through two more screens to view that info.
High Fidelity Prototypes
After valuable feedback from users testing our low-fidelity prototpyes, we
went on to develop digital high-fidelity prototypes. These high-fidelity
prototypes started to show a slight divergence from our UX flows but that is
expected as the design process progresses.
After about 10 weeks of this course, I have come to appreciate how the design
process is important to the life cycle of every project. I have felt that
this case study has allowed me to have a hands-on experience in a project’s
design lifecycle which in many ways greatly differed from my traditional
background in software devlopment and its own lifecycle, SDLC (software
development lifecycle). For example, the greatest difference I have felt
was the user-testing in this case study. The user-testing was a
lot more frequent and had large sweeping changes on our decisions, sometimes more so
than I was used to in my experience with software development. As we were
developing our design we wanted to give users
more control over the features but this presented too much information to
them; it took us a while until it finally dawned on us that we have lost
sight of the main principle of our feature, motivation. How could an app
be motivating if the user is expected to be very specific and if they
would treat using the app like a chore? Our A/B testing using the
original Mint app and our design exposed our users’
frustrations on our design and showed for far we truly departed
from Mint’s innate minimalist design. Our latter prototypes were then
changed (somewhat reluctantly) to make our app more minimalist while
retaining the features that truly matter. The end result was fulfilling to
our users and we have appreciated what we have been able to
accomplish. Therefore, this challenge and difficulty we faced is
something truly unique to me that sets the design process as a
different principle that should be carefully conducted and considered in
every project.
In the end, we hoped what we have designed would be a potential and
enjoyable solution to the problems described in
our project statement and we believe most if not all of our objectives were
reached. I look forward for any opportunity to improve this project and
more opportunities to test this project.


Hank:
Our Buddy
The very best boy:
He's got all the best stuff!
Floppy Ears
Big Feet
All the drool
Hank's favorite things:
Chew toy
Blanket
Barking at squirrels
Toggle Day Mode
Toggle Night Mode


Train Schedule
Add Train
Train Name:
Destination:
First Train Time (HH:mm - military time)
Frequency (min):
Submit
Current Train Schedule
Train Name
Destination
Frequency (min)
Next Arrival
Minutes Away


RELIEF CREME- pramoxine hydrochloride rinse
Bayer HealthCare LLC
Disclaimer: This drug has not been found by FDA to be safe and effective, and this labeling has not been approved by FDA. For further information about unapproved drugs, click here.
NDC 0859-2379-01
NDC 0859-2379-02
NDC 0859-2379-03
ReliefⓇ
Creme Rinse
1% Pramoxine HCl
Pramoxine and Colloidal Oatmeal for Temporary Relief of Itching and Flaking on Dogs, Cats and Horses
WARNING: Keep out of reach of children.
Antipruritic
Net Contents: 237 mL (8 fl oz)
Net Contents: 355 mL (12 fl oz)
Net Contents: 1.89 L (.5 Gallon)
Relief® Creme Rinse combines Pramoxine and micronized colloidal oatmeal in a soothing formulation containing moisturizers and emollients. Contains Omega-6 fatty acids for replenishment of the epidermal barrier.
For use as an after bath creme rinse for temporary relief of itching, flaking and irritation.
Shake well before use. After routine or medicated shampooing, apply Relief ® Creme Rinse evenly and thoroughly into hair coat. Rub in well. May be used as a leave-on conditioner or lightly rinse the hair coat after 5 to 10 minutes of contact time. May be used as often as necessary or as directed by your veterinarian.
For topical use on animals only. If redness or irritation persists or increases, discontinue use and contact your veterinarian. Avoid contact with eyes. If eye contact occurs, rinse thoroughly with water. Available through licensed veterinarians only.
|
RELIEF CREME
relief creme rinse | |||||||||||||||||||||||||
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| |||||||||||||||||||||||||
|
| Labeler - Bayer HealthCare LLC (152266193) |


Elon Musk: Brexit uncertainty made it ‘too risky’ to put Tesla plant in UK
Billionaire picked Berlin for his first European base.
by Paul DallisonElon Musk chose Germany ahead of the U.K. for his first European Tesla factory because Brexit made it "too risky."
The billionaire announced Tuesday that he was opening a Tesla research and development base in Berlin, saying at an awards ceremony: "Everyone knows that German engineering is outstanding and that's part of the reason we are locating our gigafactory Europe in Germany."
After the announcement, Musk told Auto Express that “Brexit [uncertainty] made it too risky to put a gigafactory in the UK.”
In 2014, Musk told the same trade publication that he wanted to build a plant in the U.K. and in November 2016 said Brexit was not likely to have "a significant impact" on Tesla's plans.


GET https://motorbot.io/api/oauth2/authorize HTTP/1.1
Receive a temporary authorization_code
to be used to retrieve an access_token
which is issued on behalf of the signed in user.
| Query Parameter | Value |
| response_type REQUIRED |
This should always be set to code , this is the only supported method |
| redirect_uri REQUIRED |
The callback url we will use to send the authorization_code towards |
| client_id REQUIRED |
The client_id for your registered app as defined in your account developer settings |
| state OPTIONAL |
A value that can be supplied by the client to maintain a state between the request and callback.
The state value will be returned along with the authorization_code .
This parameter helps prevent cross-site request forgery and hence it is highly recommended to use this when possible
|
Once the user has signed in they will be redirected back towards your application as specified by the redirect_uri
and will contain the following parameters as part of the request:
HTTP/1.1 302 Found
redirect_uri?code={authorization_code}&state={state}
| Query Parameter | Value |
| code | This parameter will contain the authorization_code which is valid for 10 minutes |
| state |
Contains the supplied state from the original request. This parameter will not be present if no state parameter is supplied as part of the original request
|


{% extends "_base.html" %} {% load i18n %} {% block title %}{% trans "django-two-factor-auth – Demo Application" %}{% endblock %} {% block nav_home %}active{% endblock %} {% block content %}
{% blocktrans %}Welcome to the example app of
django-two-factor-auth
. Use this example to get an
understanding of what the app can do for you.{% endblocktrans %}
{% blocktrans %}Have you provided your Twilio settings in the
settings_private.py
file? By doing so, the example app will
be able to call and text you to verify your authentication tokens.
Otherwise, the tokens will be shown on the screen.{% endblocktrans %}


Hi, I'm Reinaldo (a.k.a. Rei)
software developer
science enthusiast
astronomy lover
beer drinker
casual gamer
based in Porto Alegre, Brazil.
software developer
science enthusiast
astronomy lover
beer drinker
casual gamer
This is my personal space, you're very welcome.
I’m tweeting, taking photos and pushing my codes for the world.


Shoelace.css is a lightweight, forward-thinking CSS library built with future CSS syntax. It’s easy to use and highly customizable. Bootstrap users will find it familiar, yet refreshing.
You can use Shoelace with just about any browser. The CDN version is great for prototyping, but to take advantage of all its features you should build Shoelace from source.
Here is the CSS you could be writing:
:root {
/* CSS variables */
--state-primary: #09d;
/* Color functions */
--alert-bg-color: color(var(--state-primary) tint(75%));
--alert-color: color(var(--state-primary) lightness(25%));
}
/* Nested selectors */
.alert {
background-color: var(--alert-bg-color);
color: var(--alert-color);
&.alert-lg {
font-size: 2rem;
}
}
CSS has a really bright future, and you can use most of its upcoming features today with Shoelace + cssnext. You no longer need Less or Sass to do amazing things with CSS.
Shoelace was created by @claviska for Surreal CMS. You can use it for free under the terms of the MIT license.
Fork Download Report a Bug Star
Accelerated by KeyCDN · © A Beautiful Site, LLC


Overview
Our tutoring process begins with an assessment test in the area in which you wish to be tutored.
The test assists in assessing your skills and understanding level to allow us to better cater our
tutoring at a pace and with a focus on the area in which you need to build your knowledge.
We then offer progress tests to evaluate your progress and better prepare you for the exam. We also
offer mock examinations, which are timed to the actual examination to better prepare you for
success on your examination day.


|
ReactPhysics3D
0.7.1
Physics engine library
|
This class represents a simple generic set. More...
#include <Set.h>
Classes | |
| class | Iterator |
| Class Iterator. More... | |
Public Member Functions | |
| Set (MemoryAllocator &allocator, size_t capacity=0) | |
| Constructor. | |
| Set (const Set< V > &set) | |
| Copy constructor. | |
| ~Set () | |
| Destructor. | |
| void | reserve (int capacity) |
| Allocate memory for a given number of elements. | |
| bool | contains (const V &value) const |
| Return true if the set contains a given value. | |
| void | add (const V &value) |
| Add a value into the set. | |
| Iterator | remove (const Iterator &it) |
| Remove the element pointed by some iterator This method returns an iterator pointing to the element after the one that has been removed. | |
| Iterator | remove (const V &value) |
| Remove the element from the set with a given value This method returns an iterator pointing to the element after the one that has been removed. | |
| void | clear () |
| Clear the set. | |
| int | size () const |
| Return the number of elements in the set. | |
| int | capacity () const |
| Return the capacity of the set. | |
| Iterator | find (const V &value) const |
| Try to find an item of the set given a key. More... | |
| bool | operator== (const Set< V > &set) const |
| Overloaded equality operator. | |
| bool | operator!= (const Set< V > &set) const |
| Overloaded not equal operator. | |
| Set< V > & | operator= (const Set< V > &set) |
| Overloaded assignment operator. | |
| Iterator | begin () const |
| Return a begin iterator. | |
| Iterator | end () const |
| Return a end iterator. | |
This class represents a simple generic set.
This set is implemented with a hash table.
|
inline |
Try to find an item of the set given a key.
The method returns an iterator to the found item or an iterator pointing to the end if not found


import numpy as np
from cached_property import cached_property
from frozendict import frozendict
from devito.ir.equations import ClusterizedEq
from devito.ir.clusters.graph import FlowGraph
from devito.ir.support import DataSpace, IterationSpace, detect_io
from devito.symbolics import estimate_cost
from devito.tools import as_tuple
__all__ = ["Cluster", "ClusterGroup"]
class PartialCluster(object):
"""
A PartialCluster is an ordered sequence of scalar expressions that contribute
to the computation of a tensor, plus the tensor expression itself.
A PartialCluster is mutable.
:param exprs: The ordered sequence of expressions computing a tensor.
:param ispace: An object of type :class:`IterationSpace`, which represents the
iteration space of the cluster.
:param dspace: An object of type :class:`DataSpace`, which represents the
data space (i.e., data items accessed) of the cluster.
:param atomics: (Optional) non-sharable :class:`Dimension`s in ``ispace``.
:param guards: (Optional) iterable of conditions, provided as SymPy expressions,
under which ``exprs`` are evaluated.
"""
def __init__(self, exprs, ispace, dspace, atomics=None, guards=None):
self._exprs = list(ClusterizedEq(i, ispace=ispace, dspace=dspace)
for i in as_tuple(exprs))
self._ispace = ispace
self._dspace = dspace
self._atomics = set(atomics or [])
self._guards = guards or {}
@property
def exprs(self):
return self._exprs
@property
def ispace(self):
return self._ispace
@property
def dimensions(self):
return self._ispace.dimensions
@property
def itintervals(self):
return self._ispace.itintervals
@property
def extent(self):
return self.ispace.extent
@property
def shape(self):
return self.ispace.shape
@property
def dspace(self):
return self._dspace
@property
def atomics(self):
return self._atomics
@property
def guards(self):
return self._guards
@property
def args(self):
return (self.exprs, self.ispace, self.dspace, self.atomics, self.guards)
@property
def trace(self):
return FlowGraph(self.exprs)
@property
def unknown(self):
return self.trace.unknown
@property
def tensors(self):
return self.trace.tensors
@property
def dtype(self):
"""Return the arithmetic data type of this Cluster. If the Cluster is
performing floating point arithmetic, then any equation performing
integer arithmetic is ignored, assuming that they are only carrying
out array index calculations. If two equations are performing floating
point calculations with mixed precision, return the data type with
highest precision."""
dtypes = {i.dtype for i in self.exprs}
fdtypes = {i for i in dtypes if np.issubdtype(i, np.floating)}
if len(fdtypes) > 1:
raise NotImplementedError("Unsupported Cluster with mixed floating "
"point arithmetic %s" % str(fdtypes))
elif len(fdtypes) == 1:
return fdtypes.pop()
elif len(dtypes) == 1:
return dtypes.pop()
else:
raise ValueError("Unsupported Cluster [mixed integer arithmetic ?]")
@property
def ops(self):
"""
Return the floating point operations performed by this Cluster.
"""
return self.extent*sum(estimate_cost(i) for i in self.exprs)
@property
def traffic(self):
"""
Return the compulsary traffic (number of reads/writes) generated
by this Cluster, as a mapper from tensor objects to :class:`IntervalGroup`s.
.. note::
If a tensor object is both read and written, then it is counted twice.
"""
reads, writes = detect_io(self.exprs, relax=True)
accesses = [(i, 'r') for i in reads] + [(i, 'w') for i in writes]
ret = {}
for i, mode in accesses:
if not i.is_Tensor:
continue
elif i in self.dspace.parts:
# Stencils extend the data spaces beyond the iteration spaces
intervals = self.dspace.parts[i]
# Assume that invariant dimensions always cause new loads/stores
invariants = self.ispace.intervals.drop(intervals.dimensions)
intervals = intervals.generate('union', invariants, intervals)
ret[(i, mode)] = intervals
else:
ret[(i, mode)] = self.ispace.intervals
return ret
@exprs.setter
def exprs(self, val):
self._exprs = val
@ispace.setter
def ispace(self, val):
self._ispace = val
@dspace.setter
def dspace(self, val):
self._dspace = val
def squash(self, other):
"""Concatenate the expressions in ``other`` to those in ``self``.
``self`` and ``other`` must have same ``ispace``. Duplicate
expressions are dropped. The :class:`DataSpace` is updated
accordingly."""
assert self.ispace.is_compatible(other.ispace)
self.exprs.extend([i for i in other.exprs if i not in self.exprs])
self.dspace = DataSpace.merge(self.dspace, other.dspace)
self.ispace = IterationSpace.merge(self.ispace, other.ispace)
[docs]class Cluster(PartialCluster):
"""A Cluster is an immutable :class:`PartialCluster`."""
def __init__(self, exprs, ispace, dspace, atomics=None, guards=None):
self._exprs = exprs
# Keep expressions ordered based on information flow
self._exprs = tuple(ClusterizedEq(v, ispace=ispace, dspace=dspace)
for v in self.trace.values())
self._ispace = ispace
self._dspace = dspace
self._atomics = frozenset(atomics or ())
self._guards = frozendict(guards or {})
@cached_property
def trace(self):
return FlowGraph(self.exprs)
@cached_property
def functions(self):
return set.union(*[set(i.dspace.parts) for i in self.exprs])
@cached_property
def is_sparse(self):
return any(f.is_SparseFunction for f in self.functions)
@cached_property
def is_dense(self):
return not self.is_sparse
[docs] def rebuild(self, exprs):
"""
Build a new cluster with expressions ``exprs`` having same iteration
space and atomics as ``self``.
"""
return Cluster(exprs, self.ispace, self.dspace, self.atomics, self.guards)
@PartialCluster.exprs.setter
def exprs(self, val):
raise AttributeError
@PartialCluster.ispace.setter
def ispace(self, val):
raise AttributeError
@PartialCluster.dspace.setter
def dspace(self, val):
raise AttributeError
[docs] def squash(self, other):
raise AttributeError
[docs]class ClusterGroup(list):
"""An iterable of :class:`PartialCluster`s."""
[docs] def unfreeze(self):
"""
Return a new ClusterGroup in which all of ``self``'s Clusters have
been promoted to PartialClusters. Any metadata attached to self is lost.
"""
return ClusterGroup([PartialCluster(*i.args) if isinstance(i, Cluster) else i
for i in self])
[docs] def finalize(self):
"""
Return a new ClusterGroup in which all of ``self``'s PartialClusters
have been turned into actual Clusters.
"""
clusters = ClusterGroup()
for i in self:
if isinstance(i, PartialCluster):
cluster = Cluster(*i.args)
clusters.append(cluster)
else:
clusters.append(i)
return clusters
@property
def dspace(self):
"""Return the cumulative :class:`DataSpace` of this ClusterGroup."""
return DataSpace.merge(*[i.dspace for i in self])
@property
def dtype(self):
"""Return the arithmetic data type of this ClusterGroup. If at least one
Cluster is performing floating point arithmetic, then any Cluster performing
integer arithmetic is ignored. If two Clusters are performing floating
point calculations with different precision, return the data type with
highest precision."""
dtypes = {i.dtype for i in self}
fdtypes = {i for i in dtypes if np.issubdtype(i, np.floating)}
if len(fdtypes) > 1:
raise NotImplementedError("Unsupported ClusterGroup with mixed floating "
"point arithmetic %s" % str(fdtypes))
elif len(fdtypes) == 1:
return fdtypes.pop()
elif len(dtypes) == 1:
return dtypes.pop()
else:
raise ValueError("Unsupported ClusterGroup [mixed integer arithmetic ?]")
@property
def meta(self):
"""Return the metadata carried by this ClusterGroup, a 2-tuple consisting
of data type and data space."""
return (self.dtype, self.dspace)


USEFUL CODE WILL SHOW UP HERE (I promise).
You can alternatively click on a command like this: (..+...-...) to watch the animation.
Even though vii by itself allows you to save time when writing css animations, it also includes a subset of commands that create animations even faster.
Because of the odd looking commands this subset is called GIviiRISH.
GIviiRISH can describe animations by visualizing a timeline.
A timeline is represented by square brackets: [ ].
Time is represented by dots: [......]. Each dot represents 0.06 seconds (60fps/1000ms). The preceeding animation will last for 0.36 seconds (or 360 milliseconds) since it has 6 frames.
A timeline might have as many dots as you want. The more dots the longer the duration of the animation.
The output for [......] is:
/* n:randomName e:linear d:0.36s loop:1 to:cc kf:class */ @keyframes myTween-89 { to { animation-timing-function: linear; transform-origin: center center; } } @-webkit-keyframes myTween-89 { to { -webkit-animation-timing-function: linear; -webkit-transform-origin: center center; } } .myTween-89 { transform-origin: center center; -webkit-transform-origin: center center; animation-name: myTween-89; animation-duration: 0.36s; animation-timing-function: linear; animation-delay: 0s; animation-iteration-count: 1; animation-direction: normal; animation-fill-mode: forwards; animation-play-state: running; -webkit-animation-name: myTween-89; -webkit-animation-duration: 0.36s; -webkit-animation-timing-function: linear; -webkit-animation-delay: 0s; -webkit-animation-iteration-count: 1; -webkit-animation-direction: normal; -webkit-animation-fill-mode: forwards; -webkit-animation-play-state: running; }
Notes:
Keyframes are defined by the * character.
This timeline contains 1 keyframe [.....*.....] at aproximate 50% into the animation.
This other timeline contains 3 keyframes [*.....*.....*]. Since it has * characters at the beginning and end of the timeline it will output with a 0% and a 100% keyframes like so:
/* n:randomName e:linear d:0.78s loop:1 to:cc kf:class|kf:0|kf:53.85|kf:100 */ @keyframes myTween-12 { 0% { } 53.85% { } 100% { } } @-webkit-keyframes myTween-12 { 0% { } 53.85% { } 100% { } } .myTween-12 { transform-origin: center center; -webkit-transform-origin: center center; animation-name: myTween-12; animation-duration: 0.78s; animation-timing-function: linear; animation-delay: 0s; animation-iteration-count: 1; animation-direction: normal; animation-fill-mode: forwards; animation-play-state: running; -webkit-animation-name: myTween-12; -webkit-animation-duration: 0.78s; -webkit-animation-timing-function: linear; -webkit-animation-delay: 0s; -webkit-animation-iteration-count: 1; -webkit-animation-direction: normal; -webkit-animation-fill-mode: forwards; -webkit-animation-play-state: running; }
GIviiRISH timelines allows you to easily sketch timing charts visually:
Half
[*.....*.....*]
Slow-in
[*......*...*...*]
Slow-out
[*...*...*......*]
Thirds
[*...*...*...*]
Cushon
[*.........*.*]
Halves
[*..*..*..*..*]
Slow-in and slow-out
[*.*.*..*....*....*..*.*.*]
The * character returns an empty keyframe. GIviiRISH timelines allow to use other characters with special meaning and it will return keyframes with prefilled info that makes animating so much easier!
| Character | Meaning | Returned value |
|---|---|---|
| u | Move up by 10 pixels | transform: translateY(-10px) ; |
| U | Move up by 100% | transform: translateY(-100%) ; |
| d | Move down by 10 pixels | transform: translateY(10px) ; |
| D | Moves down by 100% | transform: translateY(100%) ; |
| r | Move right by 10 pixels | transform: translateX(10px) ; |
| R | Move right by 100% | transform: translateX(100%) ; |
| l | Move left by 10 pixels | transform: translateX(-10px) ; |
| L | Move left by 100% | transform: translateX(-100%) ; |
| w | Change width to 0 pixels | width : 0px; |
| W | Change width to 'auto' | width : auto; |
| h | Change height to 0 pixels | width : 0px; |
| H | Change height to 'auto' | width : auto; |
| s | Shrink element to half size | transform: scale(0.5) ; |
| S | Scale element to double size | transform: scale(2) ; |
| k | Skew the element by -20 degrees | transform: skew(-20deg) ; |
| K | Skew the element by 20 degrees | transform: skew(20deg) ; |
| t | Squash the element | transform: scale(1.5,0.5) ; |
| T | Stretch the element | transform: scale(0.5,1.5) ; |
| z | Move the element in the z axis to -800 pixels (far) | transform: translateZ(-800px) ; |
| Z | Move the element in the z axis to 300 pixels (close) | transform: translateZ(300px) ; |
| f | Flip horizontal | transform: scale(-1,1) ; |
| F | Flip vertical | transform: scale(1,-1) ; |
| - | Rotate -45 degrees | transform: rotate(-45deg) ; |
| + | Rotate 45 degrees | transform: rotate(45deg) ; |
| < | Rotate -90 degrees | transform: rotate(-90deg) ; |
| > | Rotate 90 degrees | transform: rotate(90deg) ; |
| ^ | Rotate to 0 degrees | transform: rotate(0deg) ; |
| i | Rotate -180 degrees | transform: rotate(-180deg) ; |
| I | Rotate 180 degrees | transform: rotate(180deg) ; |
| @ | Spin 1 turn | transform: rotate(1turn) ; |
| x | Rotate -90 degrees in the horizontal axis | transform: rotateX(-90deg) ; |
| X | Rotate 90 degrees in the horizontal axis | transform: rotateX(90deg) ; |
| y | Rotate -90 degrees in the vertical axis | transform: rotateY(-90deg) ; |
| Y | Rotate 90 degrees in the vertical axis | transform: rotateY(90deg) ; |
| / | Rotate -60 degrees in the vertical axis | transform: rotateY(-60deg) ; |
| \ | Rotate 60 degrees in the vertical axis | transform: rotateY(60deg) ; |
| , | Change the transform origin to the bottom | transform-origin: center bottom; |
| ' | Change the transform origin to the top | transform-origin: center top; |
| " | Change the transform origin to the top (for hanging) | transform-origin: 50% -150%; |
| ; | Change the transform origin to the left | transform-origin: left center; |
| : | Change the transform origin to the right | transform-origin: right center; |
| _ | Change the transform origin to the center | transform-origin: center center; |
| # | Change the background color to a random color | background-color : #f695eb; |
| v | Hide element | visibility : hidden; |
| V | Show element | visibility : visible; |
| 0 | Make element transparent | opacity : 0; |
| 5 | Set element to semi-transparent | opacity : 0.5; |
| 1 | Set element to opaque | opacity : 1; |
| b | Set blur filter to 0 | -webkit-filter: blur(0px) ; |
| B | Set blur filter to 10 pixels | -webkit-filter: blur(10px) ; |
| c | Set corners to 0 border radius | border-radius : 0px; |
| C | Set corners to 50 pixels border radius | border-radius : 50px; |
| e | Set easing to ease-in (for GIviiRISH the default easing is linear) | animation-timing-function: ease-in; |
| E | Set easing to ease-out | animation-timing-function: ease-out; |
Some characters represent special positions that pack several options at once.
These characters are specially useful when creating animations that end and begin in a specific position. Think of them as animation templates.
| Character | Meaning | Returned value |
|---|---|---|
| = | Reset the transform and opacity to 1 | opacity : 1; |
| o | Scale is minimum and opacity is 0 | opacity : 0; |
| O | Scale is 3 (very big) and opacity is 0 | opacity : 0; |
| j | Element is rotated -90 degrees, translated to the left and opacity is 0 | opacity : 0; |
| J | Element is rotated 90 degrees, translated to the right and opacity is 0 | opacity : 0; |
| 9 | Start or end from top right corner (following the keyboard numpad positioning) | opacity : 0; |
| 8 | Start or end from top (following the keyboard numpad positioning) | opacity : 0; |
| 7 | Start or end from top left corner (following the keyboard numpad positioning) | opacity : 0; |
| 6 | Start or end from right (following the keyboard numpad positioning) | opacity : 0; |
| | | Start or end from center (5 is used for semi-transparency) | opacity : 0; |
| 4 | Start or end from left (following the keyboard numpad positioning) | opacity : 0; |
| 3 | Start or end from bottom right corner (following the keyboard numpad positioning) | opacity : 0; |
| 2 | Start or end from bottom (following the keyboard numpad positioning) | opacity : 0; |
| ! | Start or end from bottom left corner (1 is used for opcity=1) | opacity : 0; |
GIviiRISH also allows you to do little 3D transformations with a set of commands that are expected to be used toguether.
| Character | Meaning | Returned value |
|---|---|---|
| n | Object is hidden into 3D space, comes in from top. | opacity : 0; |
| N | Object is hidden into 3D space, rolls in from top. | opacity : 0; |
| m | Object is hidden into 3D space, comes in from bottom. | opacity : 0; |
| M | Object is hidden into 3D space, rolls in from bottom. | opacity : 0; |
| p | Object is hidden into 3D space, comes in from right. | opacity : 0; |
| P | Object is hidden into 3D space, rolls in from right. | opacity : 0; |
| q | Object is hidden into 3D space, comes in from left. | opacity : 0; |
| Q | Object is hidden into 3D space, rolls in from left. | opacity : 0; |
| a | Object is visible into 3D space with rotation. | opacity : 1; |
| A | Object is visible into 3D space with no rotation. | opacity : 1; |
Creating an animation requires that you think what is going to happen on each keyframe and how fast or slow you want the animation.
Let's say you want an element to move from its initial position to the right. GIviiRISH timelines are read like normal text from left to right:
[........]
Now let's use the r character to identify a movement to the left:
[........r]
The previous code will output this css animation code:
/* n:randomName e:linear d:0.54s loop:1 to:cc kf:class|kf:100 x:10 */ @keyframes myTween-233 { to { transform: translateX(10px) ; } } @-webkit-keyframes myTween-233 { to { -webkit-transform: translateX(10px) ; } } .myTween-233 { transform-origin: center center; -webkit-transform-origin: center center; animation-name: myTween-233; animation-duration: 0.54s; animation-timing-function: linear; animation-delay: 0s; animation-iteration-count: 1; animation-direction: normal; animation-fill-mode: forwards; animation-play-state: running; -webkit-animation-name: myTween-233; -webkit-animation-duration: 0.54s; -webkit-animation-timing-function: linear; -webkit-animation-delay: 0s; -webkit-animation-iteration-count: 1; -webkit-animation-direction: normal; -webkit-animation-fill-mode: forwards; -webkit-animation-play-state: running; }
Test your animation. Want to make a bigger move? Change your r to R:
[........R]
If you want to move your animation to the left change your R to a L:
[........L]
You can also combine characters to create a bigger movement:
[R........L]
Now let's make the animation loop, to achieve this you only need to change your brackets to parentheses:
(R........L)
Wouldn't be nice if you could make the looping seamless? Right now it does present a "jump" when the animation reaches the end. This is because it goes to the original center position and then it restarts. A way to fix this is to move the keyframes so there is no start and end positions:
(...R...L...)
If you want the animation to be slower, then add spacing to the keyframes:
(........R........L........)
Repeating keyframes also allows to "pause" the keyframe so a particular state has longer exposition, in this case the animation will stay in the right position for a couple of beats before continuing:
(......R............R......L......)
The most effective way to create a loop animation is to have the beginning and ending keyframes be the same:
(s....u...S...u....s)
(U....>....R....I....D....<....L....I....U)
Another way to loop animations is by using the animation-direction property. In GIviiRISH you can define them by changing the brackets [] or the parentheses () with curly brackets {}
So for instance this looping animation:
(R........L)
can become smoother by changing the parentheses to curly brackets, which will give it an animation-direction of 'alternate':
{R........L}
Or animation-direction of 'alternate-reverse' if the brackets are inversed (this will not inverse the animation though):
}R........L{
When the animation is not a looping animation you might not want to start the animation too abruptly. You want to give the viewer the time to assimilate what has happened. Entrance and exit animations allow for an element to come in and leave a scene in an elegant manner.
That is why fading elements has proven so popular in many web apps.
Most entrance and exit animations will use the opacity either at the beginning or at the end.
An entrance animation just need to start from 0 and then do something else:
[0.........S...s]
[0s.....0..........s....R]
An exit animation will always end in 0:
[L.....l.........0]
Alternatively you can take an entrance animation and turn it into an exit animation by inversing the order of the brackets:
]0s.....0..........s....R[
By using a combination of !234|6789oOjJ and = you can make easier entrance and exit animations:
[4..........=]
[o......S....=]
[j......D..u..d..=]
[...d......=.....D...=......8]
You can also benefit from the 3D transforms that many modern browser support.
GIviiRISH has the following initial positions nNmMpPqQ that can be reset with either a or A (depending on the effect you are after):
[m...........a]
[a...........n]
Be aware that: [m...........a] is not equal to [m...........A] or [M...........a] or [M...........A]
The following examples will teach you how to combine characters .
GIviiRISH is just a way to easily sketch css animations but by no means let it be your only way to create then. Remember you can always take the commented vii command that comes at the top of the animation and improve it. Happy Coding!


Testing video youtube dialog jquery UI
-
Katy Perry - Roar
This is katy perry's music video
-
Gangnam Style
This is the popular gangnam style video
This is katy perry's music video
This is the popular gangnam style video


ASTR 288P: UNIX and Scientific Programming (Fall 2016)
Class Structure
Instructor will guide students in their learning, with problems and
assignments being somewhat self-paced. Formal lectures will occur in some
sessions, but most time will be taken up by students working on programming
assigments. Instructor will be present for guidance and trouble-shooting.
Student will have access to the computer lab (CSS 0224)
when it is otherwise not in use. Contact instructor if access is needed.
Class Schedule:
- Week 1: Jan 30
- Week 2: Feb 6
- Week 3: Feb 13
- Week 4: Feb 20
- Week 5: Feb 27 [BIG DATA meeting] -> feb 3 makeup?
- Week 6: Mar 6
- Week 7: Mar 13
- Week 8: Mar 20 (spring break / Haiti)
- Week 9: Mar 27
- Week 10: Apr 3
- Week 11: Apr 10
- Week 12: Apr 17
- Week 13: Apr 24
- Week 14: May 1
- Week 15: May 8 [Python for Astronomy ; Leiden]
This page was last modified on
by teuben@astro.umd.edu.


Sending keystrokes
Simple inputs
This is 'demo'
This is 'another'
This is 'enabler'
This is 'textMe'
Select
Choose a pet:
--Please choose an option--
Dog
Cat
Hamster
Parrot
Spider
Goldfish
Multi select
Choose a plant:
--Please choose an option--
Oak
Cactus
Pine
Carrot


Jad Dalay of American Forests on forests' potential to mitigate climate change
Jad Dalay says using forests to act on climate change and advance social equity is at the center of American Forests' mission. Using forests as a climate change solution offers the opportunity to capture carbon and create more green jobs. Dalay noted a growing interest from city governments to join the reforest movement and plant more trees in their communities.


{% extends "sysadmin/base.html" %} {% load seahub_tags i18n %} {% block cur_settings %}tab-cur{% endblock %} {% block right_panel %}
{% trans "Note: Settings via web interface are saved in database table (seahub-db/constance_config). They have a higher priority over the settings in config files." %}


-
https://code.bcstudios.us/accr_cert_metro
https://code.bcstudios.us/accr_cert_ep
https://code.bcstudios.us/eiq_reg_metro
https://code.bcstudios.us/image1
https://code.bcstudios.us/map
https://code.bcstudios.us/listing
https://code.bcstudios.us/boeufchain
https://code.bcstudios.us/mbswipe
https://code.bcstudios.us/tedflix
https://code.bcstudios.us/voting_booth
https://code.bcstudios.us/voting_booth_register
https://code.bcstudios.us/voting_booth_results
https://code.bcstudios.us/tflix_elpat


This is the output integration test file.
Parameterless tests are the simplest supported form of tests.
Passing parameterless tests are written in a simple form: T1.
Failing tests will always T2 T2_ACTUAL show the expected and real results.
Single parameter tests support text input declaration like links.
Assigning a variable is done like so: V1
This will assign the value V1 to the parameter named var1 in the background map.
Reassigning a variable is done by reusing the statement: V2. Parameter var1 now has a value of V2.
This variable can now be passed to a test, either passing or failing.
T3
T4 T4_ACTUAL
Multi parameter tests function in the same way as single parameter tests.
First assign variables: V1, V2
T5
T6 T6_ACTUAL


This is a simple demo app based on:
1) Tinder (swipe left/right)
2) Tensorflow (calculate weights based on datapoints)


Trackmania Track of the Day Medal Distribution
This shows how many people have obtained each medal on every track of the day. This can help you find easy author times to get or answer the question of whether you are not good or the map is hard!
Sort by: Date , Author Time , Gold , Silver , Bronze , Author Name .
Interesting Facts
The hardest map to get Author Time on is April 29 2021 - MIXTA VIA by Erizel with only 12 people having gotten it!
If you want easy Author Times, the maps from the first month of the release, July 2020, are significantly easier to get than in more recent history!
The hardest map to get any medal on is February 18 2021 - Speedfun Coast by priez with only 3893 people having bronze or better on it!
priez is the mapper with the most maps selected for Track of the Day with 11 of them!
You basically just need to finish May 6 2021 - Vortioxetin by DriftingDagmar to get the Author Time on it, as only 13% of people got another medal.
Data was collected between August 2nd and August 6th 2021. Data is capped at 10,000 by the Trackmania API.
Made by vjeux with data from Trackmania.io with help from codecat


Isar735.github.io
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Cover Letter for Resume with Sample Cover Letter Format.
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A Collection of Free Sample Letters of all departments of life such as Accounting Sample Letters, Business Sample Letters, Job Cover Sample Letters etc. All these. An open letter to my beloved church - The Mennonite. Three excellent cover letter examples Guardian Careers. This guide will help you to write the best letter possible. Build My Free Cover To write these cover letters, all you have to do is fill Resume Genius. Business Writing: With Best Wishes.
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Aegisub / Automation / Lua / Subtitle file interface
This page describes the subtitle file interface use in Automation 4 Lua scripts to manipulate subtitle files.
There is one special object (the subtitles user data object) which has a number of functions, and a number of table formats defined.
The subtitles object
Most Automation 4 Lua feature functions are passed a subtitles object when called. This object is used to obtain data from and manipulate the subtitles the feature is being applied on.
A subtitles object can have two special properties depending on the context it is created for:
- Read-only
- Some feature functions must not be allowed to modify the subtitle file at all. This includes for example macro validation functions and export filter configuration panel providers, because this would be outside user expectations.
- Allow undo points
- Only macro processing functions can set undo points, as it makes no sense to do so at any other time.
To allow the most flexibility, the subtitles object represents a complete ASS format file, line by line, including all meta-lines such as section headers and semicolon comments.
The subtitles object supports the following operations:
- Retrieve number of lines
- Read line
- Append line (to end of file)
- Insert line (at arbitrary position in file)
- Replace line
- Delete line
- Create undo point
These operations are described in detail below. In all operation synopses and
examples, subtitles
is used for name of the subtitles object being operated
on.
Retrieve number of lines
Synopsis:
num_lines = #subtitles
num_lines = subtitles.n
This operation retrieves the total number of lines in the subtitle file currently. This number only changes by using the other operations on the subtitle object. It cannot change spontaneously during the execution of a script.
num_lines
(number
)- Number of lines in the subtitle file.
The first syntax is the preferred one, per normal Lua 5.1 coding style.
Read line
Synopsis: line = subtitles[i]
This retrieves the indexed line and creates a new table object with data about it.
line
(table
)- Table with data about the retrieved line.
i
(number
)- Index into the subtitles file of the line number to retrieve. This is one-based, i.e. the first line in the file has index 1.
Aegisub internally stores the subtitle file as a linked list, which means that random access is slow, but sequential access is fast. While Automation 4 Lua presents the subtitles as if it was an array, it internally maintains a cursor used to optimise for sequential access. It is faster to access a line with an index close to the one you last accessed than to access one further away. It is always fast to access lines near the beginning or end of the file.
Append line
Synopsis:
subtitles[0] = line
subtitles.append(line)
subtitles.append(line1, line2, ...)
Append one or more lines to the end of the subtitles file. In the first syntax, it is the number 0 (zero) used for index. (Setting index 0 causes an append operation.)
The third syntax supports appending multiple lines with one single operation.
line
(table
)- The line object table to append to the subtitles file.
The latter function-call syntax is preferred for readability. The table index setting syntax is slightly faster.
Appending a line always runs in constant time, and does not move the cursor otherwise used to optimise sequential access.
Insert line
Synopsis:
* subtitles[-i] = line
* subtitles.insert(i, line)
* subtitles.insert(i, line1, line2, ...)
Inserts one or more lines into the subtitles file before the numbered line. In the first syntax, you supply a negative index. E.g. to insert a line before line 5 you supply index -5 (negative 5.)
Inserting lines will move lines after the inserted lines to move down in index, such that old indexes will no longer be valid.
i
(number
)- Index to insert before.
line
(table
)- The line object table to insert into the subtitles file.
The latter function-call syntax is preferred for readability. The table index setting syntax is slightly faster.
Inserting lines uses the list cursor and will move it.
Replace line
Synopsis: subtitles[i] = line
Delete the indexed line and insert the given line in its stead.
i
(number
)- The line index to replace at.
line
(table
)- The line object table to replace with.
Replacing lines uses the list cursor and will move it.
Delete line
Synopsis:
subtitles[i] = nil
subtitles.delete(i)
subtitles.delete(i1, i2, ...)
subtitles.deleterange(first, last)
Remove one or more from the subtitles file. All lines after the deleted line(s) will move up to fill the deleted indexes, so old indexes will no longer be valid.
The third syntax supports deleting multiple indexed lines in one call. The indexes given must all be correct for the subtitle file's state before any lines are deleted.
The fourth syntax deletes a range of lines, both indexed lines inclusive.
i
(number
)- Index of the line to delete.
first
(number
)- Index of the first line of the range to delete.
last
(number
)- Index of the last line of the range to delete.
Deleting lines uses the list cursor and will move it.
Creating an undo point
Synopsis: aegisub.set_undo_point(description)
You should always create an undo point at the end of any macro which made changes to the subtitles object. If you do not, one will automatically be set for you, but in future versions of Aegisub this may change to rolling back any changes made instead.
You can set multiple undo points in a single macro, but it is rarely a good idea to.
Only available in macro processing functions, as it doesn't make sense anywhere else either.
description
(string
)- Text to appear in the Edit menu for the Undo and Redo items to describe the action that can be undone.
This is not really a function in the subtitles object, but it is still closely tied to it.
Line data tables
When you read lines from the subtitle file object they will always be one of a few classes of lines, and when you write lines back to the subtitle file they must also follow the format of one of those classes.
The line data objects are regular Lua tables with some specific fields defined.
Here's a list of the different classes of lines:
clear
- A blank line. These are normally stripped by Aegisub's ASS parser, but they can potentially show up when importing non-ASS files, or if you add them via a macro.
comment
- A line starting with a semicolon. Usually ignored and only useful for storing unimportant metadata, as they're often stripped.
head
- A section heading in the file, such as
[Script Info]
info
- A key/value pair in the Script Info section of the file
format
- A Format line in the file. Ignored by nearly everything as VSFilter never implemented support for them.
style
- a regular style definition line
dialogue
- A dialogue line, which may or may not be a comment. These are the lines you see in the grid in Aegisub.
unknown
- An unknown kind of line.
There's three fields that always exist in all line data tables:
class
(string
)- The name of the class of line this is, see the list above.
raw
(string
)- The raw text of the line, from first to last character on the physical line.
section
(string
)- Which section of the file the line belongs to. If the line is placed before
the first section heading, this field is
nil
.
clear
class
This class doesn't define any additional fields.
comment
class
This class defines one additional field:
text
(string
)- The text that follows the semicolon. Basically the same as the
raw
field with the first character chopped off.
head
class
The head
class doesn't define any additional fields, but the section
field
contains the name of the new section started.
info
class
This class defines two additional fields:
key
(string
)- The part of the line before the first colon, with leading and trailing spaces removed.
value
(string
)- Everything after the first colon on the line, also with leading and trailing spaces removed.
format
class
This class doesn't define any additional fields.
style
class
This class defines a large number of additional fields. It's usually processed by the karaskel and modified a bit by that. See the karaskel.lua section on style tables for more information about this class.
dialogue
class
This class defines a large number of additional fields. It's usually processed by the karaskel and has many calculated fields added by that. See the karaskel.lua section on dialogue line tables for more information on this class.
unknown
class
No additional fields are defined by this class, due to its nature. This might
be things like files embedded into the subtitles. You shouldn't try to work
with these lines unless you really know what you're doing. Deleting, modifying
and inserting unknown
lines has undefined consequences. (That means, even if
it works today it might not work tomorrow or in the next version of Aegisub.)


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Kevin Lunney attack was 'cold and calculated', Leo Varadkar says
by CLAIRE SIMPSONKEVIN Lunney was "tortured" in a "cold, calculated attack" which had echoes of paramilitary assaults, the taoiseach has said.
Leo Varadkar told last night's BBC Spotlight programme that he was "horrified" by the kidnapping and torture of Quinn Industrial Holdings (QIH) director Mr Lunney in September.
The 50-year-old was abducted from his home near Derrylin in Co Fermanagh by a gang of four masked men.
During the sadistic attack, the father-of-six had his leg broken in two places, his skin was sliced with a Stanley knife and he was doused in bleach. The letters QIH were also carved on his chest before he was dumped across the border in Co Cavan.
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Speaking for the first time about his ordeal, Mr Lunney told last week's Spotlight programme that he feared he was going to die by the roadside.
"I thought are they going to shoot me. I thought that I wouldn't see the children," he said.
Read More: Fear of retribution lifted following death of Cyril McGuinness
In the second part of the programme, broadcast last night, the taoiseach said the attack was reminiscent of paramilitary beatings.
"I was horrified by it quite frankly," he said.
"I obviously heard some media reports but I think it's only when somebody recounts their own story that you can really get a full insight and understanding of what they went through.
"This was a planned, cold, calculated attack.
"He was essentially tortured and for me it brought back memories of the kind of attacks that paramilitaries used to carry out and maybe, on some occasions, still do."
Read More: Roots to fallout which saw Sean Quinn leave role at Quinn Industrial Holdings
Police on both sides of the border are still investigating the attack on Mr Lunney. However, a fresh threat was issued against the QIH directors earlier this month.
The attack was part of a campaign of intimidation directed at QIH, its management and employees.
The man believed to be responsible for putting together the gang who kidnapped and tortured Mr Lunney died suddenly last week when police raided a house in Derbyshire.
Cyril McGuinness (54), also known as 'Dublin Jimmy', collapsed and died on Friday.
A career criminal from Derrylin in Co Fermanagh, McGuinness is believed to be the "boss" rung by Kevin Lunney's attackers during his abduction.
Mr Lunney revealed last week that during his ordeal one of his abductors made a phone call and said "Boss, this man is resisting".


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Posted on August 26, 2016, Pageviews : - | Chinese Input, Ubuntu Input Setup,
I have been struggling with Chinese input method in Ubuntu OS for such a looong time. Every time I configure a new Ubuntu desktop, I kinda face the same problem that no matter what I do, I just CANNOT susccessfully install Chinese input method.
After all these strugglings, I finally figure out a way to set the Chinese input method up, which I call it the Ultimate way. The steps are as followed. The version of Ubuntu I am using is 14.04, which is a popular version.
Step 1: Install fcitx correctly
Fcitx is a input framework that provides language support for Linux, find out more on wiki. Some Ubuntu desktops set the system input method to IBus defaultly. Therefore, the first thing we need to do is to install fcitx pakages and change the system from IBus to fcitx.
Open your Terminal and type
sudo apt-get install fcitx fcitx-pinyin
You can also do this by downloading the fcitx packages and install it through Ubuntu Software Center.
Step 2: Set fcitx system-wide
Then set the system to fcitx by typing the following line into your Terminal. Remember to type sudo
, otherwise it won't be a system-wide setting.
sudo im-config
Keep click OK and Yes on the popped dialog until the Input Method Configuration page is reached. Select fcitx as system configuration. See the following figure.
Now, open System Settings and select Language Support, you shall see fcitx on the bottom, as shown in the follwing figure.
Step 3: Install Chinese/Japanese input
Now your fcitx is working, it's time to install some input methods of your favorite.
For Chinese inputs, I would recommand Sogou Pinyin Input. You will need to download the packages from here. Then double click the file (ends with .deb
) which you just downloaded and install it via Software Center. This can also be down by typing the following lines in Terminal.
sudo dpkg -i /path/to/deb/file/filename
sudo apt-get install -f
For Japanese inputs, I heard that mozc is a popular input method, which could be installed by the following commands.
sudo apt-get install fcitx-mozc
Step 4: Make it work
Now type the following line in your Terminal. Then log out and re-login.
fcitx-autostart
Step 5: Configure the current input method
After re-login, click the little keyboard icon on the upper righ corner of your screen. Select Configure current input method from the list. You shall see the following figure.
Click the plus button + on the bottom. In the popped dialog, uncheck the Only Show Current Language option, and type in your desired input method in the searching entry as shown in the following figure. Remember to type in the Input method name instead of the language name, (e.g. sogou instead of Chinese, moz instead of Japanese).
Step 6: Keep Calm and TYPE WHAT YOU WANT
Now check the little keyboard icon on the upper right corner of your screen, you shall be able to select the desired input method as shown in the following figure. You are now good to go!
This is all I know so far. If you have any questions, please feel free to email me.


I've been doing a lot of work on my website for the past year, but I managed to keep track of how it looks. Here's a nice image slider of my site's timeline.
If you want to take a look at the source code, you can find it on Github. It is generated through Jekyll whenever I push to Github.


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Well done!
${h1} has about ${eq} equity versus ${h2}.
Oh snap!
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Things I did in this wonderful state
- Hiking
- Snowboarding (check out shreddit!)
- Hanging out with chill dogs
Some of my MANY pictures of the high country of Colorado
Rocky (yes, that is his name) is a lil tired.
Things I did in this wonderful state
Some of my MANY pictures of the high country of Colorado
Rocky (yes, that is his name) is a lil tired.