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Undergraduate Directing 2 (FP 338)
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Visual Storytelling (FTV 130)
Undergraduate Intermediate Production (FP 280)
Undergraduate Advanced Production (FP 331)
Undergraduate Senior Thesis (FP 497-498)
Undergraduate Byte-sized Television (TWP 313)
Undergraduate Television Pilots (TWP 398)
Undergraduate Digital Arts Project
Undergraduate Independent Study
Graduate Fundamentals of Directing 1 (FP 538)
Graduate Fundamentals of Directing 2 (FP 539)
Graduate Intermediate Directing (FP 664)
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Master class in Directing (FP 638)
Graduate Production Workshop 1 (FP 531)
Graduate Production Workshop 2 (FP 532)
Graduate Production Workshop 3 (FP 577)
Graduate Production Workshop 4 (FP 631)
Graduate Thesis (FP 698)
Graduate Filmmakers and Actors Workshop (FP 507)
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medialAxisConvex
PURPOSE
MEDIALAXISCONVEX compute medial axis of a convex polygon
SYNOPSIS
function [nodes, edges] = medialAxisConvex(points)
DESCRIPTION
CROSS-REFERENCE INFORMATION
This function calls:
- bisector BISECTOR return the bisector of two lines, or 3 points
- createLine CREATELINE create a line with various inputs.
- distancePointLine DISTANCEPOINTLINE compute distance between a point and a line
- intersectLines INTERSECTLINES return all intersection points of N lines in 2D
This function is called by:
Generated on Fri 05-Feb-2010 11:20:41 by m2html © 2003


2020 Lincoln Corsair Wins A Major Award
The capable Corsair is a safe bet.
by Karl FurlongThe Insurance Institute for Highway Safety doesn't give out Top Safety Pick awards lightly, with only the very safest vehicles - and sometimes, only those specified with the right equipment - earning this distinction. The 2020 Lincoln Corsair SUV has now achieved this honor for its vehicle-to-vehicle front crash prevention ability. Both the Corsair's standard and optional safety systems were highly rated. According to the IIHS, the closely related Ford Escape achieved identical ratings to the Corsair.
In order to qualify for a current Top Safety Pick award, the relevant vehicle will have to achieve Good ratings in several crash parameters: the driver-side small overlap front, the moderate overlap front, side, roof strength, and the effectiveness of the head restraints. In addition, Good or Acceptable ratings must be earned in the passenger-side small overlap front test, along with an Advanced or Superior rating for vehicle-to-vehicle front crash prevention and a headlight rating of Good or Acceptable.
The Corsair's available safety equipment includes curve-adaptive LED projector headlights. There's also a camera-based dynamic bending lighting system whereby a camera at the front of the SUV can predict where light is needed if a corner is being approached, allowing the headlamps to immediately adjust. Speed-dependent lighting, meanwhile, changes the intensity of the beam depending on vehicle speed - higher speeds will illuminate more of the road ahead, and lower speeds will see the illumination of areas immediately around the Corsair.
It all bodes well for the 2020 Lincoln Corsair as it takes the fight to premium-badged competition like the BMW X3, itself a Top Safety Pick+ for superior crash safety. The Mercedes-Benz GLC is another luxury SUV with a strong safety record. While the upscale and comfortable Lincoln is by no means the default offering in this segment, its superb safety results display Lincoln's commitment to compete with the best but at a more palatable price.


This is a description for the first slide.
The first word in entertainment
Last week we put liquid paper on a bee, and it died.
To join and get updates when there are events, just email ______ at _______


The default location of the debian/ directory, relative to workspace root.
By default, this is 'source'(this should be the subdirectory that you have the project checked out to). This may be set either globally, or on a per-project basis


accept
option for the jQueryUI droppable overlay when using drag&drop.
Active style class for the droppable overlay when using drag&drop.
A map with all behaviors that were defined for this widget. The key is the name of the behavior, the value is the callback function that is invoked when the behavior is called.
The currently shown time.
The data for the vis-timeline data set.
An extender function that may be used modify the settings of this configuration object. The opts are passed directly to vis-timeline.
Optional groups for the events.
Hover style class for the droppable overlay when using drag&drop.
The client-side ID of the widget, with all parent naming containers, such as
myForm:myWidget
. This is also the ID of the container HTML element for this widget. In case the widget needs
multiple container elements (such as Paginator), this may also be an array if IDs.
Whether a menu should be present for the timeline.
The options for the vis timeline.
Preload factor is a positive float value or 0 which can be used for lazy loading of
events. When the lazy loading feature is active, the calculated time range for preloading will be multiplied by the
preload factor. The result of this multiplication specifies the additional time range which will be considered for
the preloading during moving / zooming too. For example, if the calculated time range for preloading is 5 days and
the preload factor is 0.2
, the result is 5 * 0.2 = 1
day. That means, 1 day backwards and 1 day onwards will be
added to the original calculated time range. The event's area to be preloaded is wider then. This helps to avoid
frequently, time-consuming fetching of events. Default value is 0
.
scope
option for the jQuery UI droppable overlay when using drag&drop.
The name of the widget variables of this widget. The widget variable can be used to
access a widget instance by calling PF("myWidgetVar")
.
Generated using TypeDoc
The configuration for the Timeline widget. You can access this configuration via BaseWidget.cfg. Please note that this configuration is usually meant to be read-only and should not be modified.


Class: Redstruct::ConnectionProxy
- Inherits:
-
Object
- Object
- Redstruct::ConnectionProxy
- Includes:
- Utils::Inspectable
- Defined in:
- lib/redstruct/connection_proxy.rb
Overview
Connection proxy class for the ConnectionPool
Constant Summary
- NON_COMMAND_METHODS =
Returns List of methods from the Redis class that we don't want to proxy
[] []= _eval _scan method_missing call dup inspect to_s].freeze
redis-rb polyfills collapse
-
#zlexcount(key, min, max) ⇒ Object
see: redis.io/commands/zlexcount zlexcount is not supported as of redis-rb 3.3.2.
Instance Method Summary collapse
-
#initialize(pool_or_conn) ⇒ ConnectionProxy
constructor
A new instance of ConnectionProxy.
-
#method_missing(method, *args, &block) ⇒ Object
Fallback when calling methods we may not have dynamically created above.
-
#with {|Redis| ... } ⇒ Object
Executes the given block by first fixing a thread local connection from the pool, such that all redis commands executed within the block are on the same connection.
Constructor Details
#initialize(pool_or_conn) ⇒ ConnectionProxy
Returns a new instance of ConnectionProxy
18 19 20 21 22 23 24 25 26 27 |
# File 'lib/redstruct/connection_proxy.rb', line 18 def initialize(pool_or_conn) case pool_or_conn when ConnectionPool @pool = pool_or_conn when Redis @redis = pool_or_conn else raise(ArgumentError, 'requires an instance of ConnectionPool or Redis to proxy to') end end |
Dynamic Method Handling
This class handles dynamic methods through the method_missing method
#method_missing(method, *args, &block) ⇒ Object
Fallback when calling methods we may not have dynamically created above
100 101 102 103 104 105 106 107 108 |
# File 'lib/redstruct/connection_proxy.rb', line 100 def method_missing(method, *args, &block) with do |c| if c.respond_to?(method) c.public_send(method, *args, &block) else super end end end |
Instance Method Details
#with {|Redis| ... } ⇒ Object
Executes the given block by first fixing a thread local connection from the pool, such that all redis commands executed within the block are on the same connection. This is necessary when doing pipelining, or multi/exec stuff
34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 |
# File 'lib/redstruct/connection_proxy.rb', line 34 def with(&_block) unless block_given? Redstruct.logger.warn('do not Redstruct::ConnectionProxy#with with no block') return end connection = @redis || Thread.current[:__redstruct_connection] result = if connection.nil? @pool.with do |c| begin Thread.current[:__redstruct_connection] = c yield(c) ensure Thread.current[:__redstruct_connection] = nil end end else yield(connection) end return result end |
#zlexcount(key, min, max) ⇒ Object
see: redis.io/commands/zlexcount zlexcount is not supported as of redis-rb 3.3.2
76 77 78 79 80 81 82 |
# File 'lib/redstruct/connection_proxy.rb', line 76 def zlexcount(key, min, max) with do |c| c.synchronize do |client| client.call([:zlexcount, key, min, max]) end end end |


Have a great idea for a product, but need help making it a reality? We're here to help. Startup Matchmaker is the best place for designers and developers to find each other.
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class documentation
class Rotation(object):
implement an orthogonal linear transformation for each dimension.
By default each Rotation
instance provides a different "random"
but fixed rotation. This class is used to implement non-separable
test functions, most conveniently via Rotated
.
Example:
>>> import cma, numpy as np >>> R = cma.transformations.Rotation() >>> R2 = cma.transformations.Rotation() # another rotation >>> x = np.array((1,2,3)) >>> list(np.round(R(R(x), inverse=1), 9)) [1.0, 2.0, 3.0]
| See Also | |
Rotated |
| Method | __call__ |
Rotates the input array x with a fixed rotation matrix (self.dicMatrices[len(x)]) |
| Method | __init__ |
same seed means same rotation, by default a random but fixed once and for all rotation, different for each instance |
| Instance Variable | dic |
Undocumented |
| Instance Variable | seed |
Undocumented |
| Instance Variable | state |
Undocumented |


About
Contact
Portfolio
Budget Bucket
Deployed Link
--
GitHub Link
Daily Planner
Deployed Link
--
GitHub Link
Weather Dashboard
Deployed Link
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GitHub Link
Mar's Vacation Home
Deployed Link
--
GitHub Link


Menu box |
By default, the menu box contains 8 items. Some or all of these items may be
missing if they were specifically excluded by using the 'Options'
argument in the calling sequence. See pltquiv.m for an example of
how you can add a new menu box function. Clicking on the menu box items has the following
effect:
On Windows systems when you left or right click on the the Help tag, plt will display the file plt.chm. On Unix and other systems the browser will be opened to display the file plt.htm (since these systems don't support the chm file format). The left click behavior may be modified by including the 'HelpFile' parameter on the command line and the right click behavior may be modified by including the 'HelpFileR' parameter. Those parameters are described here.
Left clicking this tag changes the x-axis scale from linear to logarithmic. The name of the tag itself also toggles between LinX and LogX so that it the tag name always matches the current x-axis scaling type. Left clicking again toggles it back to LinX.
Right clicking this tag swaps the x and y data for all the traces which has the effect of displaying the inverse function of the original display. This swapping is not possible when a right hand axes is being used, and in that case the right click is simply ignored.The y-axis scale changes from linear to logarithmic. This tag also changes to LogY so that it always matches the current scaling of the y-axis. Clicking again toggles it back to LinY. The print dialog box is accessed by clicking on the Print tag (see below), but since this is not often used, by default the print tag does not appear in the menu box. However, although it is less obvious you can also bring up the print dialog box by right clicking on this LinY/LogY tag.
Left clicking on the Grid tag alternates between no grids (tick marks only) and full grids on both x and y axes. By default, the grids are solid dim grey lines. (This may be modified by the GRIDc and GridStyle parameters.) Grid lines with high contrast colors and brightness (such as what you get with the native Matlab plot command) makes it more difficult to observe the main data traces. Assuming the grid style has not been modified with the GRIDc or GridStyle parameters, then right clicking on the Grid tag will alternate between the following two grid modes:
Each left click of the Zout (Zoom out) tag expands the x and y axes by 40% (20% at each end). This approximately doubles the area of the cartesian plane displayed within the axis limits. (1.42 = 1.96). Right clicking on the Zout reverses the effect of a left click (i.e. zooms in).
Each click on the XY↔ (XYrotate) tag cycles the x and y axis limits to the next display expansion stored in a history list. (The axis limits from the last four zooms or pans are saved in this list). After all the display limits in the history list are used, the next click autoscales both axes so that all the data is displayed. The next click again uses the first display expansion in the history list.
Note that the Print tag does not appear in the menu box by default. It will only appear if enabled by an 'Options' argument in the calling sequence.
Assuming you did enable it, when you click on this Print tag this "HardCopy" dialog box will appear. The primary use of this dialog box is to create BMP images of the plt window. (You will see from the popup menu, that you can select other graphics formats as well, although not all of them are well tested). For all file types except BMP, the colors are inverted if the background is dark. On most printers this makes the copy far more readable and saves large amounts of toner.
The reason that this tag is off by default is that it can also be reached from the "HardCopy" submenu of the File menu in the menu bar, and that is the preferred way to access it. If you don't see the menu bar, click on the Menu tag in the menu box to make the menu bar visible.
You can also print directly to the default windows printing device from the HardCopy menu, however an easier (and prossibly more reliable) way of doing this is to select "print" from the File menu). And finally, often the windows screen capture facility (via the PrintScreen key) is often the most appropriate method. To enhance the screen capture method, before pressing PrintScreen you can right click on the y-axis label. This hides the menu box and cursor objects so these objects won't distract from the basic plot data. Right clicking on the y-axis label a second time re-enables the cursor objects.
When you left click on the Mark tag, a circular mark is placed at the current
cursor location and a text string is added to the plot containing the x and y
coordinates of the cursor location. The text string will be the same color as the active trace. If the text label is not positioned where you
want it, click on the label and drag it to the desired location.
If you right click on the text label, a new dialog box will appear which allows you to change any or all of the properties of both the trace marker and the text string. The two pictures below show the Marker and String properties respectively that you can edit. Note that both the Marker and the String popups have delete as one of the options. This is useful if you want to put a marker without a string or a string without a marker. You may delete all the markers you have added this way by selecting delete and then typing all into the edit box below the popup. The same trick works for deleting all the strings added to the figure via the Mark tag. Note that you can have many of these Edit Marker dialog boxes open at same time - as many as one per text string (or even more, although there is probably little benefit to that). All these dialog boxes will be deleted automatically if the main plot window is deleted.
Once you select one of the 8 marker properties, or one of the 10 string properties, the current value of the property appears in the respective edit box. To change the property value, click in the edit box, and type in a new value.
Note that when you select the color property, the
property value is a set of three numbers corresponding to red, green, and blue
respectively. Each number is an intensity value and must range from zero (off)
to 1.0 (full intensity). You may change the color by entering the desired rgb
values. When you press <Enter> the new value will be accepted and you will see
the marker or string change to the new color. However since it is often
difficult to predict exactly what these colors look like, plt provides an easier
way to select new colors. Instead of left clicking on the rgb triple, use a
right click. A new color section box will appear. The use of the color selection
box appears below, since the same dialog box is used to adjust figure and line
colors.
The menu bar is not visible by default (unless
'options','m' appears in the argument list) but may be enabled by
left clicking on the Menu tag. For a description of the options available
from the menu bar, see the section below (Menu Bar).
If plt is compiled into an .exe application, only the first and last menus (File and Color/Lines) will appear. (The other menu items depend on the MatLab application, so it must be installed and running.)
The most useful function of the menu bar for most plt applications is Print, the last item under the File menu. This is probably the easiest and most reliable way to make a hardcopy of the plt window. As you can see is this picture, plt adds the following three items to the File menu:
The last menu item (plt) is unique to plt. When you click on this menu item you will see these eight submenus.
To change the color or other property of a trace or of its associated cursor, first click on the trace that you want to modify (i.e. make the trace active) and then click on the Edit line submenu. You will see a new figure similar to the one below. Note that the three property editing windows shown below may also be opened from the "Properties" selection that appears when you right click on the Yedit cursor. (See Data editing.)
As you can see from the submenu, you can also bring up the edit line figure by pressing the <Control E> hot key. (Right clicking on the Mark tag in the menu box is yet a third way to bring up the edit line dialog box. That might be quicker if the menu bar is hidden.)
The left side of the Edit Line dialog box controls the properties of the active trace and the right side controls the properties of the cursor attached to that trace. The properties that appear in both these popups are the same as those under "Marker properties" in the Edit Marker dialog box shown above. Note that one can edit the data plotted by selecting and editing the Xdata or Ydata line properties. This works well for simple traces with less than a few dozen data elements. For longer sequences you will be better off using the data editing technique described in the data editing section. Note that (for example) if you modify the Ydata property by removing or adding data elements that the line will dissappear until you also modify the Xdata property by removing or adding the same number of points. This is because the line object can't be rendered unless the lengths of the Xdata and Ydata properties are the same.
If you want to edit the properties of the line associated with a right hand axis (if one has been enabled) you must:
If you
want to edit all the lines at once, click on the Edit all
lines submenu. A dialog box such as this will appear. (An alternate way
to bring up ths dialog box is to first click on the Δ button to put the
cursor in delta mode and then right
click on the Mark tag.) When you change the popup
menu to select a new property, the edit box will be updated to show the current
value of that property for the active trace just as before. However if you then
change the property value in the edit box, this property will get changed for
all the traces on the plot, not just the active trace. This is probably not
appropriate for the color property, but it may be useful for some of the other
trace properties, such as linewidth. You can also use this dialog box to make
all the cursors larger or a different shape for instance.
The next submenu is Edit figure colors which
brings up this dialog box. From this dialog box you can change all of the figure
colors which are not accessible from the edit lines dialog boxes described
above.
These are the eight items that you can modify from the
Edit figure colors dialog box.
After selecting one of these items, the current
color of that item appears in the edit box below the popup as a set of three
intensity numbers corresponding to red, green, and blue respectively. You may
change the color by left clicking the edit box and entering the desired rgb
values or by right clicking the edit box which will bring up the color selection
box shown below:
When using the "Edit Marker", "Edit line", "Edit all lines", or "Edit figure colors" dialog boxes described above, if you right click on an edit box containing an rgb triple, the color selection box will appear.
As with the rgb triples, the three sliders represent the intensity values (except in percent) and will initially be set to the same values that were in the edit box. You can move the sliders (or type in new values) to give the proportion of each color that you want. Only integer values between 0 and 100 are accepted giving you more than a million different colors (101 cubed). As you move the sliders, the color of the marker, line, or figure element selected is continually adjusted to reflect the slider settings. The color of the large rectangular patch to the right of the red slider (called the "current color patch") is also adjusted at the same time which makes it easier especially for the smaller screen elements.
To make it easier to find the most pleasing color, the 11 by 11 grid of colors is also updated every time a slider is moved. What this grid shows you are the colors that result when the intensity value of the active slider is mixed with 1 of 11 different intensity values of the two inactive sliders. The active slider (i.e. the slider that was last moved) is shown highlighted in yellow.
So for example, in the figure above, the bottom slider (blue) is active and happens to be set to 0%. This means that all 121 squares of the grid are made up of colors containing no blue. Each row of the grid contains a different intensity percentage of red (0% for the bottom row, 10% for the next row, and 100% for the top row). Likewise each column of the grid contains a different intensity percentage of green (0% for the left column and 100% for the right column). Thus, the upper right square in this example then would be yellow (rgb = [1 1 0]).
When you see a color in the grid that you like, just click on it. The screen element selected as well as the current color patch will instantly change to be the same as the color you clicked on. Of course the two inactive sliders move to show the intensity values of the color you just selected. If you can't find a better color, you can revert to the color in effect when you right clicked on the rgb triple by clicking on the current color patch.
All this may sound somewhat complicated, however it is far easier to do than to explain. Generally you can pick any of the three sliders, move it around a bit, and you will quickly see the color you want in the grid. By the way, clicking on the slider trough area moves the slider by 10%, so if you want to limit yourself to the 1,331 colors formed with the intensities 0,10,20,30,...100%, then you can see all such colors after just 10 clicks of the mouse.
Changing colors inside the plt figure using the color selection box is not permanent (i.e. those colors will be forgotten once the application is closed). However you can make the changes permanent by selecting the last choice in the color menu (Save figure colors). Selecting that submenu will save the current colors to the color file. You will find the rules that plt uses to determine the color file name in the description of the 'ColorFile' parameter here.
When plt starts, the color for each screen element is determined as follows:
These color files are in a consistent format so a color file generated in one application can be used in another application by renaming the color file, or by using the name of the desired color file explicitly with the 'ColorFile' parameter. It's possible to edit the color files in the MatLab command window (load, edit save), however it is usually easier to edit them in the same application that created them.


This is an example of lazy loading data. There are about 100 customer and the page initially loads 10 customer. When you scroll to bottom it loads another 10, till it loads all the 100 customer


I'm baby tumeric cardigan fanny pack scenester yuccie shoreditch. Gochujang pabst stumptown, hashtag marfa mumblecore pok pok pickled selvage scenester bitters echo park banjo bushwick tbh. Drinking vinegar next level authentic, tumblr you probably haven't heard of them polaroid cardigan four dollar toast artisan taiyaki paleo. Celiac authentic yr, succulents austin bushwick pop-up raclette fam iPhone direct trade cold-pressed occupy intelligentsia ramps. Sartorial selvage kitsch man braid kale chips raw denim truffaut bitters lo-fi four loko shoreditch YOLO adaptogen tbh pitchfork.
I'm baby tumeric cardigan fanny pack scenester yuccie shoreditch. Gochujang pabst stumptown, hashtag marfa mumblecore pok pok pickled selvage scenester bitters echo park banjo bushwick tbh. Drinking vinegar next level authentic, tumblr you probably haven't heard of them polaroid cardigan four dollar toast artisan taiyaki paleo. Celiac authentic yr, succulents austin bushwick pop-up raclette fam iPhone direct trade cold-pressed occupy intelligentsia ramps. Sartorial selvage kitsch man braid kale chips raw denim truffaut bitters lo-fi four loko shoreditch YOLO adaptogen tbh pitchfork.
I'm baby tumeric cardigan fanny pack scenester yuccie shoreditch. Gochujang pabst stumptown, hashtag marfa mumblecore pok pok pickled selvage scenester bitters echo park banjo bushwick tbh. Drinking vinegar next level authentic, tumblr you probably haven't heard of them polaroid cardigan four dollar toast artisan taiyaki paleo. Celiac authentic yr, succulents austin bushwick pop-up raclette fam iPhone direct trade cold-pressed occupy intelligentsia ramps. Sartorial selvage kitsch man braid kale chips raw denim truffaut bitters lo-fi four loko shoreditch YOLO adaptogen tbh pitchfork.
I'm baby tumeric cardigan fanny pack scenester yuccie shoreditch. Gochujang pabst stumptown, hashtag marfa mumblecore pok pok pickled selvage scenester bitters echo park banjo bushwick tbh. Drinking vinegar next level authentic, tumblr you probably haven't heard of them polaroid cardigan four dollar toast artisan taiyaki paleo. Celiac authentic yr, succulents austin bushwick pop-up raclette fam iPhone direct trade cold-pressed occupy intelligentsia ramps. Sartorial selvage kitsch man braid kale chips raw denim truffaut bitters lo-fi four loko shoreditch YOLO adaptogen tbh pitchfork.


Welcome to the Home Page of the Panacea universal EHR application! Panacea is available to all physicians and practicing medical staff to access. It's also the easiest place for patients to retrieve their own personal records and be a part of the new age of "Personal Medicine."
Think that you may be allergic to a prescription medication? The U.S. National Library of Medicine has composed a summary of common prescription allergies and their side effects for your consultation.
| Drug | Reaction Symptoms |
|---|---|
| Penicillin | Breathing difficulties, wheezing, and dizziness |
| Amoxicillin | Skin rash & hives |
| Aspirin | Anaphylaxis & weak cough |
Have questions about a certain food you want to eat? The Food Allergy Research & Education team has put together some handy resources located below.
| Food Item | Reaction Symptoms |
|---|---|
| Peanuts | Anaphylaxis |
| Shellfish | Abdominal pain, nausea & indigestion |
| Soy | Hives, itchy skin & swollen tongue |
Not sure of when to be immunized? The CDC has provided helpful recommended Vaccine Schedule Guides for all ages:
If you come across any questions about your prescriptions, do not hestitate to call your primary care physician.
For refills, contact your local pharmacy.
CVS Refill Request Rite Aid Refill Request| Medications | Prescription Reason | Side Effects |
|---|---|---|
| Hydrocodone | Reduce back pain near L3 | Tinnitus |
| Lisinopril | Regulate blood pressure | Drowsiness, mild rash on left arm |
| Prilosec | Reduce heart burn | Mild nausea |
| Medications | Prescription Reason | Reason for Consumption Termination |
|---|---|---|
| Oxycodone | Reduce back pain near L3 | Sever somnolence & reduced nociceptor function |
| Fioricet oral | Mild weekly migraines | Improved lifestyle, migraines are managed |
| Micardis | Regulate high blood pressure | Intense back pain flares |
| Prevacid | Reduce heart burn | Severe headaches & dizziness |
Looking for a new doctor? Browse the local options below to choose a specialty that addresses your needs!


This Project was developed by Aman Singh and Raghav Vasudeva as a project which was a part of curiculum of institutional summer training. This project is based on video streaming service which we decided to call as streamflix. streamflix basically is an online platform to view various movies and TV show at one place so that user may find accessing all facilites and contents very easy.
in simple words:
Streamflix is an online streaming service that allows our customers to watch a wide variety of award winning TV shows, movies, documentaries on thousands of internet connected devices. With Streamflix, you can enjoy unlimited viewing of our content without having to watch a single commercial. There’s always something new to discover, and more TV shows and movies will be added time to time as they Release.
Our project is inspired from online streaming services like:
1. Netflix
2. Amazon Prime
3. Hd Popcorn
4. Popcorn Time
Aman singhStudent Chandigarh University |
Raghav VasudevaStudent Chandigarh University |


Package planning.actions
-
Class Summary Class Description ActionParserHelper This class is made to identify the type of action easily.AttackAction Planning action meaning that the bot should send some or all of it's army to fight somewhere.AttackActionType Description: This class implements the ActionType abstract class from burlap and is used to tell the planner what actions are possible to take at a givens state Why This Exists: To provide the ai planer with possible attacking actions.BuildAction An Action that involves building a structure for the bot to take.BuildActionType Description: This class implements the ActionType abstract class from burlap and is used to tell the planner what actions are possible to take at a givens state Why This Exists: To provide the ai planer with possible attacking actions.ExpandActionType A class for the expand action for AI Planning.ScoutActionType A class for the Scout action for AI Planning.TrainAction An Action that involves training a new unit.TrainActionType Description: This class implements the ActionType abstract class from burlap and is used to tell the planner what actions are possible to take at a givens state How to incorperate new options: Probably would have to restructure the AllApplicableActions function to construct all reasonable possible option combinations How to allow training of new units: copy the second if statement, swap in the new unit's name and you should be good How the training capacaty array is structures: [ workers[used, avail] , ground[used, avail], combat air[used, avail], support air[used, avail]] So, currentCapacity[0][1] is the current capacaity to train new workers (the [0]) that is currently available (the [1]).UpgradeAction This class is meant to work similar to the Train and Build Actions.UpgradeActionType Currently does nothing as UpgradeAction needs to be better definied to be useful. -
Enum Summary Enum Description ActionParserHelper.ActionEnum Enum for what type of action a given action is Why this exists: So that the concrete Action class can be parsed easily.


Engigyan College Bangalore, is an autonomous Private Institution dedicated to maintain excellent academic performance. Since its establishment in 2011, Engigyan College Bangalore has been actively working as a regular franchisee of Engigyan Education Limited, Bangalore. Engigyan College Bangalore has an established track record of Academic excellence, within the Networks of Engigyan – Globally. We are supported by a team of dedicated Professors, Lecturers, Counselors, meticulous management with a caring H.R. support service.Engigyan College Bangalore is today producing competitive Gra duates, creating an enviable position among employers and Universities both Nationally and Internationally.
Informatics College Pokhara, today can proudly boast of having produced sustainable and marketable graduates in various IT and Business & Management programs.
We plan for quality higher education programmes with complete progression pathway for you – from Foundation program up to Postgraduate degree level by the universities in Australia and United Kingdom.
Our distinguished Academic and Examination Board also sets the academic and examination standards of Engigyan Academy’s programmes.
We make learning exclusive for you.
We know everyone has different learning needs and lifestyles. We have learning modes ranging from traditional classroom learning, to e-learning and a combination of both to accommodate to different learning patterns.
Our holistic education programme places equal emphasis on both academic and non-academic, co-curricular activities. We strive to provide learning and support services, as well as a conducive environment for you to learn, live and develop into global thought leaders of tomorrow.
We focus in giving you the best.


| Steps for Femoral Derotation Osteotomy | |
|---|---|
| Mark osteotomy level | |
| Measure maximum Antero-posterior width (minor axis) | |
| Etch longitudinal line over anterior point of AP measurement | |
| Measure medio-lateral width (major axis), perpendicular to AP width | |
| Enter both measurements and desired angle of correction in the input fields below | |
| Click on Calculate arc length and get the calculated arc length | |
| Rotationally displace bony fragments by the arc length, medially or laterally | |
| Fix osteotomy with implant | |
| (In all cases, the shorter measure should be entered as minor axis) |


Layers¶
Layers are how you build Pipelines. They’re the transformations you’re applying to your data.
Image Layers¶
These Layers are for transformations geared towards image data.
-
class
megatron.layers.image.
Downsample
(new_shape)¶ Bases:
megatron.layers.core.StatelessLayer
Shrink an image to a given size proportionally.
Parameters: new_shape (tuple of int) – the target shape for the new image. -
transform
(X)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
-
class
megatron.layers.image.
RGBtoBinary
(n_outputs=1, **kwargs)¶ Bases:
megatron.layers.core.StatelessLayer
Convert image to binary mask where a 1 indicates a non-black cell.
-
transform
(X)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
-
class
megatron.layers.image.
RGBtoGrey
(method='luminosity', keep_dim=False)¶ Bases:
megatron.layers.core.StatelessLayer
Convert an RGB array representation of an image to greyscale.
Parameters: method ({'luminosity', 'lightness', 'average'}) – -
transform
(X)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
-
class
megatron.layers.image.
Upsample
(new_shape)¶ Bases:
megatron.layers.core.StatelessLayer
Expand an image to a given size proportionally.
Parameters: new_shape (tuple of int) – the target shape for the new image. -
transform
(X)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
Missing Data Layers¶
These Layers are for dealing with missing data.
-
class
megatron.layers.missing.
Impute
(imputation_dict)¶ Bases:
megatron.layers.core.StatelessLayer
Replace instances of one data item with another, such as missing or NaN with zero.
Parameters: imputation_dict (dict) – keys of the dictionary are targets to be replaced; values are corresponding replacements. -
transform
(X)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
Numeric Layers¶
These Layers are for mathematical operations on your data, such as arithmetic.
-
class
megatron.layers.numeric.
Add
(n_outputs=1, **kwargs)¶ Bases:
megatron.layers.core.StatelessLayer
Add up arrays element-wise.
-
transform
(*arrays)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
-
class
megatron.layers.numeric.
Divide
(impute=0)¶ Bases:
megatron.layers.core.StatelessLayer
Divide given array by another given array element-wise.
Parameters: impute (int/float or None) – the value to impute when encountering a divide by zero. -
transform
(X1, X2)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
-
class
megatron.layers.numeric.
Dot
(W)¶ Bases:
megatron.layers.core.StatelessLayer
Multiply array by a given matrix, as matrix mulitplication.
Parameters: W (np.array) – matrix by which to multiply. -
transform
(X)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
-
class
megatron.layers.numeric.
Multiply
(factor)¶ Bases:
megatron.layers.core.StatelessLayer
Multiply array by a given scalar.
Parameters: factor (float) – multiplier. -
transform
(X)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
-
class
megatron.layers.numeric.
Subtract
(n_outputs=1, **kwargs)¶ Bases:
megatron.layers.core.StatelessLayer
Subtract one array from another.
-
transform
(X1, X2)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
Shaping Layers¶
These Layers are for manipulating the shape of your data, from adding axes to creating time series windows.
-
class
megatron.layers.shaping.
AddDim
(axis)¶ Bases:
megatron.layers.core.StatelessLayer
Add a dimension to an array.
Parameters: axis (int) – the axis along which to place the new dimension. -
transform
(X)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
-
class
megatron.layers.shaping.
Cast
(new_type)¶ Bases:
megatron.layers.core.StatelessLayer
Re-defines the data type for a Numpy array’s contents.
Parameters: new_type (type) – the new type for the array to be cast to. -
transform
(X)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
-
class
megatron.layers.shaping.
Concatenate
(n_outputs=1, **kwargs)¶ Bases:
megatron.layers.core.StatelessLayer
Combine Nodes, creating n-length array for each observation.
-
transform
(*arrays)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
-
class
megatron.layers.shaping.
OneHotLabels
(n_outputs=1, **kwargs)¶ Bases:
megatron.layers.core.StatefulLayer
One-hot encode an array of categorical values, or non-consecutive numeric values.
-
partial_fit
(X)¶ Update metadata based on given batch of data or full dataset.
Contains the main logic of fitting. This is what should be overwritten by all child classes.
Parameters: inputs (numpy.ndarray(s)) – the input data to be fit to; could be one array or a list of arrays.
-
transform
(X)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
-
class
megatron.layers.shaping.
OneHotRange
(n_outputs=1, **kwargs)¶ Bases:
megatron.layers.core.StatefulLayer
One-hot encode a numeric array where the values are a sequence.
-
partial_fit
(X)¶ Update metadata based on given batch of data or full dataset.
Contains the main logic of fitting. This is what should be overwritten by all child classes.
Parameters: inputs (numpy.ndarray(s)) – the input data to be fit to; could be one array or a list of arrays.
-
transform
(X)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
-
class
megatron.layers.shaping.
Reshape
(new_shape)¶ Bases:
megatron.layers.core.StatelessLayer
Reshape an array to a given new shape.
Parameters: new_shape (tuple of int) – desired new shape for array. -
transform
(X)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
-
class
megatron.layers.shaping.
SplitDict
(fields)¶ Bases:
megatron.layers.core.StatelessLayer
-
transform
(dicts)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
-
-
class
megatron.layers.shaping.
TimeSeries
(window_size, time_axis=1, reverse=False)¶ Bases:
megatron.layers.core.StatelessLayer
Adds a time dimension to a dataset by rolling a window over the data.
Parameters: - window_size (int) – length of the window; number of timesteps in the time series.
- time_axis (int) – on which axis in the array to place the time dimension.
- reverse (bool (default: False)) – if True, oldest data is first; if False, newest data is first.
-
transform
(X)¶ Apply transformation to given input data.
Parameters: inputs (np.ndarray(s)) – input data to be transformed; could be one array or a list of arrays.
Text Layers¶
These Layers are for manipulating text data.
-
class
megatron.layers.text.
RemoveStopwords
(language='english')¶ Bases:
megatron.layers.core.StatelessLayer
Remove common, low-information words from all elements of text array.
Parameters: language (str (default: english)) – the language in which the text is written.


http://duprey.dynip.com archived
--- layout: post title: The Internet Archived Forever - aka The "Wayback" Machine categories: [] tags: [] status: publish type: post published: true meta: _original_post_id: '' _original_import_author: John Duprey author: ---


Knowledge is understanding of facts , information, descriptions and skills. So increase your knowledge with Education acquired with experience.
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Plot No. 138, Udyog Vihar, Phase-1 Gurgaon - 122001 Haryana India


NSLayoutConstraint
Undocumented
-
Convenience function to chain a priority change.
Declaration
Swift
public func clk_withPriority(priority: UILayoutPriority) -> NSLayoutConstraint
-
Activates the constraint or updates an existing constraint to achieve the same effect. Disables
translatesAutoresizingMaskIntoConstraints
on views as needed. Uses the.UpdateExisting
constraint activation policy, so when possible, an existing will be reused.Declaration
Swift
public func clk_activate() -> NSLayoutConstraint
Return Value
The newly activated or updated constraints.
-
Deactivates the constraint plus any other identical ones.
Declaration
Swift
public func clk_deactivate() -> [NSLayoutConstraint]
-
Activates the constraint. Disables
translatesAutoresizingMaskIntoConstraints
on views as needed. With the.UpdateExisting
constraint activation policy, existing constraints will be used with updated constants and/or priorities whenever possible. With the.IgnoreExisting
constraint activation policy, no attempt will be made to reuse existing constraints and the constraint instance will be used. Use this for installing multiple similar constraints with different layout priorities. - returns: The newly activated or updated constraint.Declaration
Swift
public func clk_activate(policy: CLKEquivalentConstraintPolicy) -> NSLayoutConstraint
Return Value
The newly activated or updated constraint.


Teams: S.A.S. vs. Spetsnaz
Place: Altai Mountains, Russia
Terrain: A missile launch range with hangers on both sides of the map which leaves the rest of the map to be somewhat wide open
Type of Combat: Long to medium range combat
The design of the map features missile silos, small hangars (2 on each side of the map, rather close to each other), blast shields that offer some cover, and tank trucks to climb. Intense battles usually occur on this map. This is evident on gametypes such as Headquarters, Sabotage and Domination. LMGs and Assault Rifles seem to be preferred on this map, with Digital camouflage as well. In spite of the largely flat layout, the Goodbye challenge (killing yourself by falling 30 feet to your death) can be easily achieved by falling down into one of the uncovered missile silos that previously held an ICBM. Players that enjoy more confined, enclosed combat tend to dislike this map due to its large flat layout.
Sniping is a good strategy but do not plan on "setting up camp", as the shifts between sides of the field occur very often and the numerous visual obstacles (smoke, silo covers, etc) allow opponents with cover - making ambush a high possibility. Find the fight, get one or two kills, then move on.
Stuns and Frags are very useful on this map, as all 4 warehouses are favorite hiding places for campers, behind crates or missile racks, in most game modes. Throwing grenades before entering the warehouse will often result in easy kills. Many sniper spots are available, spots to be noted are the top of missile and the tops of trucks.Other sniper spots to be considered are the containers north of the downed helicopter and between the warehouses.
With both sides of the map, an opposing team member could easily flank.
Climbing onto silo covers, missiles, and trucks provides advantageous vantage points. Though, be aware you become an easy target.
In Domination, try to hold A and B and maintain pressure up the open left side of the map as it's easier to spot people approaching than it is on the covered area near C and the fallen chopper
The short metal dumpsters make excellent cover as most people will stop in their tracks and try to line up a headshot while you mow them down. To counter the player in this position, use deep impact and shoot at their body through the dumpster. This is easier than aiming for the head and allows you to move and deke while shooting.
This is another map where smokes are a huge help in crossing the open areas.


#include <xqilla/framework/XQillaExport.hpp>
#include <xercesc/dom/DOMNode.hpp>
#include <xercesc/dom/DOMTypeInfo.hpp>
#include <xercesc/dom/DOMException.hpp>
#include <xercesc/dom/DOMXPathException.hpp>
Go to the source code of this file.
Classes | |
| class | XPath2Result |
| The XPathResult2 interface represents the result of the evaluation of an XPath 2.0 expression within the context of a particular node. More... |


I graduated from The University of Texas - Dallas in May 2020 with my masters degree in Information Technology and Management. I believe that it is very important to know the business as well as the technical side of projects for an organization to be successful. In the age of big data, manipulating data and gaining insights by visualiations is really what gets me going!
•Compile and analyze daily and monthly call center performance reports to perform call flow analysis and ensure Service Levels are met
•Maintain and track accurate records of PTO accruals, agent attendance and time off usage of 32 workforce groups via Calabrio, the workforce management system and analyze intraday call forecasts to ensure KPIs are met achieving customer satisfaction and operational efficiency
•Managing up to 600 agents in real time queues, including offline work, voluntary time off, overtime adherence and shift bids and performing scheduling and optimization of team meetings, one on ones, training, and various other off phone activities to achieve 90% agent adherence
•Automating reporting processes for quicker ad hoc reporting to upper level management and building schedule efficiency models.
•Conducted data preprocessing on 80,000+ records of customer data by identifying and removing noisy data and outliers through data imputation and tuple removal using R for telecommunication clients
•Extracted, interpreted and analyzed data to identify key metrics and transform the data into meaningful information to increase data quality by 20% by developing ETL pipelines in JSonar and generated Tableau dashboards(including maps, bar and line charts, box plots, pie charts) and data stories narrating customer profile metrics like mode of payment, purchase channel, user complaints, demographics
•Increased customer retention by 12% for a major mobile network provider through identification and analysis of factors affecting the churn rate by building a regression model using R and engendered detailed reports using SSRS to present insightful results to Analytics and Insights Head.
•Achieved 5% increase in SQL query performance using query optimization techniques like monitoring query execution plan using MS SQL Server
•Increased operation efficiency by 8% through MS Excel process automation and database data extraction and imputation process automation using Python programming
•Assisted in planning, organizing and performing operational and compliance audits for Parkland Health and Hospital System and Documented detailed reports to provide sufficient evidence of work completed in the execution of audit program such as testing of results
•Evaluated effectiveness of existing controls that are in place, performed risk assessments, tested ITGCs for Change Management and Logical Access and provided recommendations to improve policies, procedures and efficiency of controls
•Designed and developed a system using Python, to help Lastline employees determine if customer appliances are in a healthy state and automatically report any appliances that are in faulty state
•Created a user-friendly web interface using HTML, CSS, Php and Javascript to visualize the status of an appliance, automatically find appliances that are in error condition and notify Lastline employees of such error conditions
•Collaborated with the team of TeamViewer to provide them with data and insights needed and reviewing the current performance to optimize tasks by analyzing seller performance data, created and maintained customer records of over 1000 entries in the company’s database
•Assisted in maximizing sales and profits to increase the order efficiency by researching relevant markets, reporting and sharing results of each activity within the business, and interacted with a database of 500+ potential clients
• Pre-processed approx. 40,000+ Facebook posts with 23 feature variables available in the dataset to build models in R that predicted the number of comments based on these features
• Applied various Regression models, Random forests and Neural nets to perform the prediction with 90% accuracy
• Cleaned the US wildfire dataset consisting of 188 million records and normalized it to 3 NF generating 15 tables with primary-key and not-null constraints
• Designed an ER model based on the derived tables and joined them accordingly using SQL join operations
• Performed queries in SQL and MongoDB to identify states with most incidents and the fire sizes.
• Studied the effect of 1979 Oil recession of USA on GSP using Statewide capital productivity data (Panel data) of 48 states over 17 years(1970-1986) with a goal to quantify the impact of GSP before and after the oil recession
• Used the Difference-in-Differences model to identify the control state by spotting for the state with lowest variation in % difference of GSP across years
• Fitted the regression with GSP as the dependent variable and treatment indicator and pre-post indicator as independent variables
• The results suggested that the GSP in South Dakota reduced by 967.25 units because of the oil recession that happened
• Analyzed Zara's website as a part of the Marketing Web Analytics course.
• Identified the Business objectives and the corressponding KPIs.
• Performed analysis of the KPIs using Google Analytics over the years 2018-2019
• Generated the Channel performance and Funnel report and provided recommendations based on it.
• Performed preprocessing on the dataset with TensorFlow, Pandas and Numpy libraries using Jupyter notebook
• Applied regression models such as KNN, Lasso, Ridge, Linear and Kernelized SV regressor and Polynomial Regression with 92% accuracy of the best model
• Classiﬁed the data using KNN classification, Logistic Regression, Linear Support Vector Machine, Kernelized Support Vector Machine, Decision Tree with 99% accuracy
• Applied various ensemble techniques such as Voting Classiﬁers, Bagging, Pasting, AdaBoost Boosting, Gradient boosting and Deep learning models to list all the fraudulent firms
• Analyzed booking dataset consisting of 395,054 sampled records from Expedia using Machine Learning algorithms like logistic regression, LDA and Naive Bayes classiﬁer with the help of ggplot2, dplyr and other tidyverse libraries.
• Predicted which customers are likely to book a hotel based on the variables in the dataset.
• Proposed a new Internet of Things (IoT) based system to track the level of garbage in bins by providing
real-time notifications through a web application using Arduino Uno and ultrasonic sensor.
• Demonstrated the working of the project on a bin.
• Examined a pre-existing large data set of 208 tuples and 1 special attribute and 60 other attributes.
• Performed classification and clustering operations on the dataset and 72% of the objects were correctly classified as rock category and the remaining as mine category.


1 Chronicles 11:25
Behold, he was honorable among the thirty, but attained not to the first three: and David set him over his guard.


Building fast and building to last
At the beginning of the new millennium, Google and Yahoo started down very different paths to attain the enormous scale that the growing size and demands of the Internet economy required. For Yahoo, the solution came in the form of NetApp filers, which has allowed the company to add more server space at a dizzying rate. Almost every service that Yahoo offered ultimately ran on NetApp’s purpose-built storage appliances, which were very quick to set up and easy to use, giving Yahoo a fast track to meet market demand.
But, Google began work on engineering its own software-defined infrastructure, known as the Google File System, which would function as a platform that could serve a large range of use cases for all the services Google would offer as a part of its future ecosystem. Instead of using the storage appliances as a foundation, the Google File System used commodity servers from others to support a flexible and resilient architecture that could solve scalability issues once and for all, simplifying and accelerating the future rollout of a wide range of web-scale applications, from maps to cloud storage.
Scaling complexity
- It took almost four years of ongoing development, and enormous amounts of engineering resources, before the Google File System reached a point where the company could use it for mission-critical operations. Meanwhile, Yahoo added NetApp filers almost immediately to keep up with growing demands for its services. In this race, it appeared Yahoo had pulled far ahead.
- Yahoo’s rapid approach also began to show some downsides. As demand increased and diversified, downsides to the appliance-based infrastructure emerged in the form of redundant engineering work, increasingly complex and inefficient environments and finally, mounting vendor costs. When Yahoo added a new service, it needed to re-engineer the NetApp platform for that specific use case.
- As a result, identical challenges for separate services, such as Yahoo Search and Yahoo Mail, had to be solved multiple times on different infrastructures. The infrastructure also exposed greater resource inefficiencies, as each use case required separate server space and compute power that couldn’t be shared across the platform. On top of that, the cost to run NetApp appliances grew as fast as Yahoo did, taking a significant amount out of the company’s revenue.
- Google built its file system in anticipation of these challenges, so that adding new use cases or fixing underlying architecture challenges could be done efficiently. After the purchase of YouTube, for example, Google could simply say, “throw away your back-end and we’ll put you on our platform.” Engineers could make upgrades to the underlying architecture once, and the solution would apply across all of Google’s services.


ISPELLAFF2MYSPELL(1) User Contributed Perl Documentation ISPELLAFF2MYSPELL(1) NAME ispellaff2myspell - A program to convert ispell affix tables to myspell format. SYNOPSIS ispellaff2myspell [options] <affixfile> --myheader your_header Options: --affixfile=s Affix file --bylocale Use current locale setup for upper/lowercase conversion --charset=s Use specified charset for upper/lowercase conversion (defaults to latin1) --debug Print debugging info --extraflags=s Allow some non alphabetic flags --lowercase=s Lowercase string --myheader=s Header file --printcomments Print commented lines in output --replacements=s Replacements file --split=i Split flags with more that i entries --uppercase=s Uppercase string DESCRIPTION ispellaff2myspell is a script that will convert ispell affix tables to myspell format in a more or less successful way. This script does not create the dict file. Something like ( echo `cat mydict.words+ | wc -l`; cat mydict.words+ ) > mydict.dict should do the work, with mydict.words+ being the munched wordlist OPTIONS --affixfile=s Affix file. You can put it directly in the command line. --bylocale Use current locale setup for upper/lowercase conversion. Make sure that the selected locale match the dictionary one, or you might get into trouble. --charset=s Use specified charset for upper/lowercase conversion (defaults to latin1). Currently allowed values for charset are: latin0, latin1, latin2, latin3. --debug Print some debugging info. --extraflags:s Allows some non alphabetic flags. When invoked with no value the supported flags are currently those corresponding to chars represented with the escape char \ as first char. \ will be stripped. When given with the flag prefix will allow that flag and strip the given prefix. Be careful when giving the prefix to properly escape chars, e.g. you will need -e "\\\\" or -e '\\' for flags like \[ to be stripped to [. Otherwise you might even get errors. Use -e "^" to allow all flags and pass them unmodified. You will need a call to -e for each flag type, e.g., -e "\\\\" -e "~\\\\" (or -e '\\' -e '~\\'). When a prefix is explicitely set, the default value (anything starting by \) is disabled and you need to enable it explicitely as in previous example. --lowercase=s Lowercase string. Manually set the string of lowercase chars. This requires --uppercase having exactly that string but uppercase. --myheader=s Header file. The myspell aff header. You need to write it manually. This can contain everything you want to be before the affix table --printcomments Print commented lines in output. --replacements=file Add a pre-defined replacements table taken from 'file' to the .aff file. Will skip lines not beginning with REP, and set the replacements number appropriately. --split=i Split flags with more that i entries. This can be of interest for flags having a lot of entries. Will split the flag in chunks containing i entries. --uppercase=s Uppercase string. Manually set the sring of uppercase chars. This requires --lowercase having exactly that string but lowercase. If your encoding is currently unsupported you can send me a file with the two strings of lower and uppercase chars. Note that they must match exactly but case changed. It will look something like $lowercase='a-zaaaa~aeaaaeceeeeeiiiie`n~oooo~oeouuuueyp'; $uppercase='A-ZAAAA~AeAaCEEEEeIIIIe‐N~OOOO~OeOUUUUeYP'; SEE ALSO The OpenOffice.org Lingucomponent Project home page <http://lingucomponent.openoffice.org/index.html> and the document <http://lingucomponent.openoffice.org/affix.readme> that provides information about the basics of the myspell affix file format. You can also take a look at /usr/share/doc/libmyspell-dev/affix.readme.gz /usr/share/doc/libmyspell-dev/README.compoundwords /usr/share/doc/libmyspell-dev/README.replacetable in your Debian system. AUTHORS Agustin Martin<EMAIL_ADDRESS>perl v5.10.1 2010-08-24 ISPELLAFF2MYSPELL(1)


Mesa/Boogie launch CabClone IR and IR+ cabinet simulators
by Rob LaingMesa/Boogie launch CabClone IR and IR+ cabinet simulators
If the Strymon Iridium has piqued your interest in trading up or starting to use cab simulations to play direct live or recording, Mesa/Boogie has more good news for you with it new CabClone IR and IR+ Cabinet Simulators.
The caveat of course is that you're a fan of Mesa cabs as the unit offers 16 of them, along with a Built-In Reactive Load. The IR+ model also provides a power attenuator.
This expansion of the CabClone series is primarily designed for tube amp players who need or prefer to go direct for recording or stage use.
Like the feature offered by last year's Suhr's Reactive Load IR, the on-board Reactive Speaker Load is an especially useful feature to simulate the effect of mic'ing a real cab in your signal chain.
The CabClone IR PLUS's built-in power attenuator offers the added flexibility for guitarists to dial in their favoured amp power level for their chosen volume in any venue they're in – whether that's a gig, home or studio.
Both CabClone IRs come pre-loaded with Mesa cabs that have been captured in two ways using a combination of ribbon, dynamic and condenser mics. They are:
• 4x12 Recto Standard
• 4x12 Recto Traditional
• 2x12 Recto Horizontal
• 1x12 Recto
• 1x12 Thiele
• 2x12 Lone Star
• 1x12 Lone Star 23
For more info visit Mesa/Boogie


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| The green bar at the bottom of a story card represents the calculation of the to-dos on tasks for each story when subtracted from the estimates. | |
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Accepted Stories |
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Stories in Current Iteration |
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Stories Not Scheduled or Scheduled in the Future |
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Stories Marked as Blocked or Not Accepted from Past Iterations |


THANK YOU!
We received your submission.
You will receive an email with more information within 24 hours.


Last Updated: August 3, 2019
Welcome to www.thekidstoyhive.com.(hereafter referred to as "The Kids Toy Hive", "we", "us", or "our") The Toy Hive provides a rental service and a marketplace for users, which services are accessible at www.thekidstoyhive.com (collectively, the "Site"), and as an application for mobile devices ("Application").
 THE KIDS TOY HIVE RESERVES THE RIGHT TO REFUSE SERVICES TO UNDERAGE USERS.THE KIDS TOY HIVE RESERVES THE RIGHT TO AMEND, REMOVE, OR ADD TO THESE TERMS AND CONDITIONS OF USE AT ANY TIME WITHOUT NOTICE. SUCH MODIFICATIONS SHALL BE EFFECTIVE IMMEDIATELY. PLEASE CONTINUE TO REVIEW THESE TERMS OF USE WHENEVER ACCESSING OR USING THIS SITE. IF YOU DO NOT AGREE WITH ALL OF THE TERMS OF THIS AGREEMENT, DO NOT CREATE AN ACCOUNT OR PAY FOR THE SERVICE.
The Kids Toy Hive does not sell, rent or exploit the information provided by you for marketing purposes or to any third party vendors. The personal information you provide to us will be stored on secured computers and/or servers.
By providing or designating a payment method, you authorize us to charge you for your rental as well as any damage fees, restocking fees and any deposits required. In addition to applicable delivery charges and any applicable taxes, commencing on the date you reserve your rental. We reserve the right to adjust pricing for our rental services at any time as we may determine in our sole discretion. Any price changes to your rental will take effect following email notice to you providing you an opportunity to cancel the service if you wish that the price change would not be suitable to you.
The Kids Toy Hive shall use good faith efforts to deliver the products to the designated address specified by you. Liability to the toys passes from The Kids to Hive to you upon delivery. Our delivery service does not include the redirecting or forwarding to an updated address.You must provide us and keep us up to date with accurate contact information. This includes name and delivery address, any address changes must be made before the toys are delivered to you.
Once a payment is successfully submitted, it may not be refunded within 7 days of the rental date. We require a minimum of 7 days to cancel your rental request for a full refund. A partial refund of 50% will be given if cancellation is within 7 days.
All missing or damaged toys must be reported via email or by contacting the number provided within the rental period. A damage or restocking fee may apply if the toy is no longer rentable and/or needs to be replaced. The customer shall be charged a restocking fee equal to 95% of the market value of the toy. The restocking fee does not represent a purchase of the toy by the customer as the damaged toy is being salvaged and need to be replenished.
As a user of the site, you agree:
Last Updated: August 3, 2019
We are the sole owners of the information collected on this site and we only have access to the information that you the user voluntarily provides to us. We will not sell or rent this information to anyone. We will only use your information to contact you regarding your interest in our services. We will not share your information with any third party other than to fulfill your request if applicable, e.g. to deliver an order. Our primary goal in collecting information is to provide excellent service, improve the site, features and content, to administer your use of the site and application and to enhance your experience with our service. We may use your information to contact you in the future regarding any new toys, promotions, giveaways, changes to our terms and conditions and/or privacy policy. You may opt out of receiving any future contact emails from The Kids Toy Hive at any time.
We take precautions to protect your information. When you submit sensitive information via the website, your information is protected both online and offline. Whenever we collect sensitive information (such as credit card data), that information is encrypted and transmitted to us in a secure way.
The Kids Toy Hive may ask you to provide information on your experiences with our service to improve the quality of our service. You are at no time obligated to provide such information. We reserve the right to use information that does not identify you personally for marketing purposes, like displaying comments without a user's identity on the Site, or in communications to the The Kids Toy Hive team.
If you have any questions about this Privacy Policy or our Site, Application and Service in general, please contact us at thekidstoyhive@gmail.com.


Latest Posts
We Have a New Website!
Trail Building Progress
Opening Day!
Announcement!! Upcoming Events!!!
This is One Really, Really, Really, Really Long Story
Welcome friends and family and strangers alike to our new website! Real Canadian Recreation will be opening in 2020 and this little piece of electronic land is where we will be all of our updates as we progress and prepare for opening! We are growing evermore excited to open our doors next year! Here is a small glimpse as to what’s in store without giving too much away:
- On site in Pictou we will have 500 acres of land all carved into beautiful trails and camping sites, event grounds and more!
- There will be regularly occurring recreational events for a variety of fun. This includes four wheeler games, target practice, and other things we cannot yet reveal!
- We have four wheelers and bikes available to rent so you can journey without your own equipment.
- And even more that we will announce at a later date!
Now that we’ve explained those few things, we will wait until next time to reveal more! Sorry to keep you waiting! Bye!!
- The Guy


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2008-2009 - 2nd Quarter
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HTML is a programming tool that describes the structure and contents of a web page. It lists all elements (components) that the web page contains and labels each element using standardised tags with angle brackets. Some elements such as images and user input introduce content into the page. Other tags surround content and provide information abou the document object.
HTML tags enable the element to be referenced elsewhere in the document object so that functionality and styling can be added. Styling of elements is prescribed in a CSS document which contains styles specific to each HTML tag. This interactivity between HTML and CSS enables all elements with the same tag to be consistently styled and the code for the styling is only required to be written and recorded once in the document object.
An analogy to describe the relationship between HTML and CSS would be an architects plan of a house to be built - denoting the proposed structures (stairway, hall, rooms) and an interior designers plan of the same house, detailing the appearance of these structures (wall colour, flooring type, window frame design and colour).
Control flow describes a series of steps and evaluations taken in a specific sequence. It is the order that function calls, instructions, and statements are executed or evaluated when a program is running. Control flow is a way of standardising processes by determining what section of code is run in a program at a given time. An everday example of Control Flow is the making of school lunches in my house:
DOM stands for Document Object Model and is an object-oriented representation of the HTML structure of a webpage. The HTML elements are represented as objects and nodes. The document object is the interface with the websites content and allows functionality to be added (via scripting languages) and styling (with CSS). Some elements are viewed in the browser and can be interacted with by the user. Other elements are not visible in the browser but are still interacted with as the website functions. For example, a database that stores user input and returns certain pieces of this data to the browser when a particular function is called. Dev Tools is an intuitive and flexible tool that allows you to maintain a high level "view" of the document object and its components while also allowing you to "drill down" on a section of code to determine how the code is interacting with other components of the website.
Accessing data from an array of objects is done via bracket notation. This allows a specific item (index) in the array to be selected or the contents of the entire array to be selected. Accessing data from objects is done via dot notation where the object is specified, followed a dot, then the property to be retrieved from that object:
Functions are reusable pieces of code that have been standardised to accommodate all variations of user input. They can be thought of as a set of instructions that performs a task or calculates a value. Functions take input from the user and provide output that is relative to the input (fosr example adding two numbers together (input) to provide the sum (output)). When processes need to be performed repeatedly it is ideal to standardise them so the output after each iteration is the same (or as similar as possible). This means that variability of input is minimised, smaller amounts of code can achieve the same objective and less decision making is required. To use the function it must be defined in the scope from where it is called.


{% extends "layout.html" %} {% block body %}
Authorized users can visually clean manually collected (grab) data here. This step is important for assuring data quality.
Note: if you suspect that you're seeing an old version of this app, delete cookies and clear your web cache. Here's how to do that for a specific website using Chrome or Firefox. Reload this page when you're done.
Also note: Points you've just flagged may revert to default blue if you switch back and forth between time ranges. Don't worry. The flag information is still in the system. The points will appear as flagged the next time you load the page.
Jump to date range:


--- layout: post title: 'Brit Bennett' date: 2017-06-15 15:24:07.000000000 -05:00 type: post published: true status: publish image: /img/brit-bennett.jpg excerpt_separator: categories: - Website tags: [] ---
Brit Bennett needed a new website for the launch of her award-winning novel, The Mothers. We wanted a website that was bold, exciting and easy to edit.


text
image
audio
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Chuck
Chuck
Joke
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Cat Facts
Dog Facts
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Panda
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meme
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(｡•̀ᴗ-)✧
koala
Panda
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BIRB
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doge
Meow
BSB
90
Shot Stars
LD
RA RA
RR
yes
Unusualn't


Bubiko is a 3D model made by Novaby based on ideas by Stephen Black and Sayuri Okayama. Bubiko is a screen test of sorts, a way of documenting the possibilities and challenges of AR cinematography.
I worked with Stephen Black (check him out here!) on a last minute project to prepare Bubiko for the Mascot Hall of Fame and Perogi Festival. He wrote an amazing article (see here!) about the differences between displaying Facebook Spark and Facebook Camera. Stephen aims to be the Pixar of AR.
I had never worked with AR prior to this project. When Stephen contacted me, he had less than 24 hours before he had to leave for his flight and needed to be able to display the 3D model of Bubiko on his ipad. From his experience, I needed access to a Mac computer to work with Facebook Spark.
Unfortunately, I do not own a Mac. We learned that Facebook Spark will work on Windows for editting purposes. Exporting the project to the Spark Studio Player on the ipad proved to be a challenge; in the short time I had, I was only able to export it to Facebook Camera. I had a lot of fun learning to play with AR.
I had Bubiko attached to the camera, so you could not move around her. In the last 30 minutes before Stephen had to leave, I tried to detach the model in order to allow Stephen to move the camera around while Bubiko stayed still. However given the short time, we were not able to get it working.
Facebook Spark
Delivered to Stephen Black
1 Day


A new strategy simulation game Nexon is developing has the following rules:
1. The location of the battle is on an N x N grid. The leftmost bottom is labelled as (1, 1) and the topright is (N, N).
2. Each player can have K cannons placed.
3. You cannot move the cannon.
4. The shooting range of the cannon is determined the following way:
- If the current location of my cannon is (a, b), and the opponent's is (a', b'), the distance the cannon flew is |a - a'| + |b - b'|.
5. All cannon's range is the same.
6.
With the above rules, you would obviously want to win the game. Since we don't know whic hcannon the opponent will hit first, we would like to use our cannons to destroy all of the cannons the opponent owns. Upgrading the range of our cannons cost money, and we would like to minimise the cost. Let's look at the following scenario. The opponent's cannons are lablled as B, and the ones we own are labelled A.
Currently, our cannons are placed in (1, 2), (2, 3), (3, 1) and the opponent's cannons are placed at (3, 5), (4, 5), and (5, 4).
- To hit the furthest cannon at (5, 4) from (1, 2), we need to have a shooting range of 6. (|1 - 5| + |2 - 4| = 6)
- To hit the furthest cannon at (5, 4) from (2, 3), we need to have a shooting range of 4. (|2 - 5| + |3 - 4| = 4)
- To hit the furthest cannon at (5, 4) from (3, 1), we need to have a shooting range of 5. (|3 - 5| + |1 - 4| = 5)
By looking at the cases aboce, the minimum shooting range of the cannon should be 6 in order to attack all of the opponent's cannons. Given the size of the grid, the number of cannons, and the locations of the cannons, write a program that returns the minimum shooting range needed to attack all of the opponent's cannons.
The first line of input has N, the value that tells us the size of the grid. N is greater than or equal to 1 and less than or equal to 1,000,000,000. We are also given k (1 ≤ k ≤ 1,000,000), which is the number of cannons on each side. The following k lines have two values a, b and they represent our cannons' locations in the form of (a, b). a and b are both greater than or equal to 1 and less than or equal to N. The next k lines have two values a', b' which are the locations of the opponent's cannons. Once again, they have the same range as a and b.
Output the minimum range needed to hit all the opponent's cannons.
5 3 1 2 2 3 3 1 3 5 4 5 5 4
6
The input cases have 3 types: To get points, you need to have correct outputs for all test cases for one type of input test cases.
- Type 1 (40 marks): k ≤ 1,000.
- Type 2 (80 marks): All cannons are in a line. In other words, either all the x-coordinates or the y-coordinates of the cannons are the same.
- Type 3 (280 marks): No other restrictions other than the ones listed in the problem.


fun splitEvenly(partitions: Int): List<Amount<T>>
This method provides a token conserving divide mechanism.
partitions
- the number of amounts to divide the current quantity into.
Return
'partitions' separate Amount objects which sum to the same quantity as this Amount
and differ by no more than a single token in size.


Adidas websites one of the most updated projects we have.
Munene Super a fake super market website.
have'nt found the link.


Problem 2. Reverse number
Write a function that reverses the digits of given decimal number.
Print
Push F12


The MIT License (MIT)
Copyright (c) 2016 Cole Schaefer & the Mojo Dev Team
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


I enjoyed the expansive nature of this book. The fact that it spanned many millenia in Earth's (future) history gave it the gravitas of a written historical account.


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There’s finally a rechargeable e-cig that can keep pace with your on-the-go lifestyle.
Loop features two battery sticks and a sleek charging case that provides 24 hours of continuous power.
The two sticks allow you to easily switch between flavors, doubling your vaping pleasure.
Loop’s Advanced Nicotine Delivery System gives you a consistently strong hit all day and all night.
NJOY Loop.
Like an endless pack of smokes in your pocket.
Click for special pricing.
Weight
32.00 Ounces
Materials
Zinc, Polycarbonate & Steel
Finish
Metallic paint w/ soft touch coating
Dimensions
W: 2.34 in.
L: 4.86 in.
D: 0.6 in.
Charging Requirements / Instructions:
USBc charger included
Bottom light flashing GREEN = Fully Charged
Bottom light flashing BLUE = Medium battery life
Bottom light flashing RED = Low battery, please plug unit in.
As part of our special introductory Loop offer, we’re offering special VIP pricing:
*Orders will be shipped in late August, your credit card will be charged upon order
**All Loop orders come with our 30 day satisfaction guaranteed promise. If you aren't completely satisfied with your Loop, return it within 30 days to get full refund.


Department of Advanced Science and Technology
University of Computer Studies
B.C.Sc/B.C.Tech. ( Third Year)
Computer Organization
Mid Tearm Examination
Computer Application Techique(CS-305)
Zone III
Answer ALL Questions
Time allowed 3hours.
| Jan | Feb | Mar | Apr | May | Jue |
| 160 | 180 | 200 | 180 | 160 | 200 |
| Nov | Dec | Jan | Feb | Mar | Apr |
| 100 | 140 | 90 | 140 | 120 | 150 |
| Sales | 10,000units |
| Revenues | $200,000 |
| Materials | $35,000 |
| Labour | $40,000 |
| Variable Overheads | $17,500 |
| Fixed Overheads | $60,000 |
| Net profit | $47,500 |
| $,000 | cost of capital | |
|---|---|---|
| Ordinary share | 300 | 17% |
| Loans | 200 | 12% |
| Year | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| Additional subscription Income: | 180,000 | 250,000 | 300,000 | 250,000 | 150,000 |
| Additional membership expenses: | 40,000 | 25,000 | 10,000 |
| PV=1/r * (1-1/(1+r)n) | PV=1/(1 + r)n |
| Year 10% 15% 20% | Year 10% 15% 20% |
| 1 0.909 0.870 0.833 | 1 0.909 0.870 0.833 |
| 2 1.736 1.626 1.528 | 2 0.826 0.756 0.964 |
| 3 2.487 2.283 2.106 | 3 0.751 0.658 0.579 |
| 4 3.170 2.855 2.589 | 4 0.683 0.572 0.482 |


--- layout: post image: /assets/images/about/Isometric.png header: plain title: Isometric Voxel Heightmap subtitle: Demo Effect permalink: /demo/isometric/ date: 2017-10-21T03:00:00.000Z tags: HTML5 Javascript Canvas 2.5D Isometric Heightmap category: [ Demo ] comments: true ---
| Controls | Keys |
|---|---|
| move | w, a, s, d |
| rotate | q, e |
| zoom | z, x |
2.5D Isometric projected heightmap effect. Code shows how to load a heightmap image and convert to an imageData object, keyboard handling, viewport scrolling and scaling, 2.5D rotation, and zero pixel overdraw.
Adapted from original post created on .