| Package | Description |
|---|---|
| org.apache.fop.afp |
Contains an AFP library.
|
| org.apache.fop.afp.fonts |
Contains a collection of AFP Graphics Object Content Architecture (GOCA) structured objects.
|
| org.apache.fop.afp.svg |
Contains a collection of AFP specific Batik bridges.
|
| org.apache.fop.apps |
Application classes used for running FOP embedded in other applications.
|
| org.apache.fop.area |
FOP's area tree.
|
| org.apache.fop.area.inline |
FOP's area tree: inline-level areas
|
| org.apache.fop.complexscripts.fonts | |
| org.apache.fop.complexscripts.scripts | |
| org.apache.fop.fo |
Classes, constants and basic infrastructure for the FO tree.
|
| org.apache.fop.fo.properties |
Classes representing the various property types as well as supporting data structures for the FO tree.
|
| org.apache.fop.fonts |
Classes for font handling.
|
| org.apache.fop.fonts.autodetect |
A collection of classes that aid in the autodetection of installed system fonts.
|
| org.apache.fop.fonts.base14 |
Base 14 fonts used for PDF and PostScript.
|
| org.apache.fop.fonts.substitute |
Font substitution facilities.
|
| org.apache.fop.fonts.truetype |
Classes for TrueType fonts.
|
| org.apache.fop.fonts.type1 |
Classes for Adobe Type 1 fonts.
|
| org.apache.fop.layoutmgr |
FOP's layout engine.
|
| org.apache.fop.layoutmgr.inline |
Layout managers for inline formatting objects and line building.
|
| org.apache.fop.pdf |
Classes for handling the low-level creation of PDF documents.
|
| org.apache.fop.render |
Generic renderer interface.
|
| org.apache.fop.render.afp |
An AFP Renderer implementation and supporting classes.
|
| org.apache.fop.render.bitmap |
Bitmap Renderer which creates TIFF and PNG images from rendered pages.
|
| org.apache.fop.render.intermediate | |
| org.apache.fop.render.intermediate.util | |
| org.apache.fop.render.java2d |
Java2D Renderer which paints rendered pages on Graphics2D instances.
|
| org.apache.fop.render.pcl |
PCL Renderer (Supports PCL5 and HP GL/2)
|
| org.apache.fop.render.pcl.fonts | |
| org.apache.fop.render.pcl.fonts.truetype | |
| org.apache.fop.render.pdf |
PDF Renderer
|
| org.apache.fop.render.ps |
PostScript Renderer
|
| org.apache.fop.render.txt |
Plain Text Renderer
|
| org.apache.fop.render.xml |
Area Tree XML Renderer.
|
| org.apache.fop.svg |
Classes that add SVG support to FOP and SVG->PDF conversion for Batik.
|
| org.apache.fop.svg.font | |
| org.apache.fop.tools.fontlist | |
| org.apache.fop.traits |
Trait classes and other supporting data structures.
|
| Class and Description |
|---|
| Font
This class holds font state information and provides access to the font
metrics.
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| Class and Description |
|---|
| FontCollection
Sets up a set of fonts
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| FontMetrics
Main interface for access to font metrics.
|
| FontTriplet
FontTriplet contains information on name, style and weight of one font
|
| FontType
This class enumerates all supported font types.
|
| Typeface
Base class for font classes
|
| Class and Description |
|---|
| Font
This class holds font state information and provides access to the font
metrics.
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| Class and Description |
|---|
| FontManager
The manager of fonts.
|
| Class and Description |
|---|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| Class and Description |
|---|
| Font
This class holds font state information and provides access to the font
metrics.
|
| Class and Description |
|---|
| MultiByteFont
Generic MultiByte (CID) font
|
| Class and Description |
|---|
| MultiByteFont
Generic MultiByte (CID) font
|
| Class and Description |
|---|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| TextFragment
Encapsulates a sub-sequence (fragement) of a text iterator (or other text source),
where begin index and end index are indices into larger text iterator that denote
[begin,end) of sub-sequence range.
|
| Class and Description |
|---|
| Font
This class holds font state information and provides access to the font
metrics.
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| FontTriplet
FontTriplet contains information on name, style and weight of one font
|
| Class and Description |
|---|
| AbstractCodePointMapping
Abstract base class for code point mapping classes (1-byte character encodings).
|
| CIDFont
Abstract base class for CID fonts.
|
| CIDFontType
This class enumerates all supported CID font types.
|
| CIDSet
Declares methods to retrieve font information (glyph indices, widths, unicode values) from a CID font.
|
| CMapSegment
A segment in a cmap table of format 4.
|
| CodePointMapping |
| CustomFont
Abstract base class for custom fonts loaded from files, for example.
|
| DefaultFontConfig
The font configuration data for the more generic fonts such as TTF and Type1, that are used by
most the renderers.
|
| DefaultFontConfig.Directory
The directory to find fonts within.
|
| DefaultFontConfig.Font
Represents a font object within the FOP conf.
|
| EmbeddingMode
This enumerates the embedding mode of fonts; full; subset; auto (auto defaults to full for
Type 1 fonts and subset for TrueType fonts.
|
| EmbedFontInfo
FontInfo contains meta information on fonts (where is the metrics file etc.)
TODO: We need to remove this class and think about more intelligent design patterns
(Data classes => Procedural code)
|
| EncodingMode
This class enumerates all supported encoding modes for fonts: auto, single-byte and CID.
|
| Font
This class holds font state information and provides access to the font
metrics.
|
| FontAdder
Adds a list of fonts to a given font info list
|
| FontCache
Fop cache (currently only used for font info caching)
|
| FontCacheManager
Fop cache (currently only used for font info caching)
|
| FontCollection
Sets up a set of fonts
|
| FontConfig
An interface for font configuration information.
|
| FontConfig.FontConfigParser
An interface for parsing font configuration information.
|
| FontConfigurator
An abstract FontInfo configurator
|
| FontDescriptor
This interface enhances the font metrics interface with access methods to
value needed to register fonts in various target formats like PDF or
PostScript.
|
| FontDetector
An interface for the font detecting mechanism.
|
| FontEventAdapter
Event listener interface for font-related events.
|
| FontEventListener
Event listener interface for font-related events.
|
| FontEventProducer
Event producer for fonts-related events.
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| FontManager
The manager of fonts.
|
| FontMetrics
Main interface for access to font metrics.
|
| FontTriplet
FontTriplet contains information on name, style and weight of one font
|
| FontTriplet.Matcher
Matcher interface for
FontTriplet . |
| FontType
This class enumerates all supported font types.
|
| FontUris |
| GlyphMapping
Stores the mapping of a text fragment to glyphs, along with various information.
|
| MultiByteFont
Generic MultiByte (CID) font
|
| MutableFont
This interface is used to set the values of a font during configuration time.
|
| NamedCharacter
Represents an named character with character name (from the Adobe glyph list) and a Unicode
sequence that this character represents.
|
| SimpleSingleByteEncoding
A simple implementation of the OneByteEncoding mostly used for encodings that are constructed
on-the-fly.
|
| SingleByteEncoding
The interface defines a 1-byte character encoding (with 256 characters).
|
| SingleByteFont.UnencodedCharacter |
| TextFragment
Encapsulates a sub-sequence (fragement) of a text iterator (or other text source),
where begin index and end index are indices into larger text iterator that denote
[begin,end) of sub-sequence range.
|
| Typeface
Base class for font classes
|
| Class and Description |
|---|
| EmbedFontInfo
FontInfo contains meta information on fonts (where is the metrics file etc.)
TODO: We need to remove this class and think about more intelligent design patterns
(Data classes => Procedural code)
|
| FontCache
Fop cache (currently only used for font info caching)
|
| FontEventListener
Event listener interface for font-related events.
|
| Class and Description |
|---|
| Base14Font
Base class for all Base 14 fonts.
|
| FontCollection
Sets up a set of fonts
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| FontMetrics
Main interface for access to font metrics.
|
| FontType
This class enumerates all supported font types.
|
| Typeface
Base class for font classes
|
| Class and Description |
|---|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| FontTriplet
FontTriplet contains information on name, style and weight of one font
|
| Class and Description |
|---|
| CMapSegment
A segment in a cmap table of format 4.
|
| EmbeddingMode
This enumerates the embedding mode of fonts; full; subset; auto (auto defaults to full for
Type 1 fonts and subset for TrueType fonts.
|
| EncodingMode
This class enumerates all supported encoding modes for fonts: auto, single-byte and CID.
|
| FontLoader
Base class for font loaders.
|
| MultiByteFont
Generic MultiByte (CID) font
|
| Class and Description |
|---|
| EmbeddingMode
This enumerates the embedding mode of fonts; full; subset; auto (auto defaults to full for
Type 1 fonts and subset for TrueType fonts.
|
| FontLoader
Base class for font loaders.
|
| FontUris |
| NamedCharacter
Represents an named character with character name (from the Adobe glyph list) and a Unicode
sequence that this character represents.
|
| SingleByteEncoding
The interface defines a 1-byte character encoding (with 256 characters).
|
| SingleByteFont
Generic SingleByte font
|
| Class and Description |
|---|
| Font
This class holds font state information and provides access to the font
metrics.
|
| Class and Description |
|---|
| Font
This class holds font state information and provides access to the font
metrics.
|
| Class and Description |
|---|
| CIDFontType
This class enumerates all supported CID font types.
|
| CustomFont
Abstract base class for custom fonts loaded from files, for example.
|
| FontDescriptor
This interface enhances the font metrics interface with access methods to
value needed to register fonts in various target formats like PDF or
PostScript.
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| FontMetrics
Main interface for access to font metrics.
|
| FontType
This class enumerates all supported font types.
|
| SingleByteEncoding
The interface defines a 1-byte character encoding (with 256 characters).
|
| Class and Description |
|---|
| EmbedFontInfo
FontInfo contains meta information on fonts (where is the metrics file etc.)
TODO: We need to remove this class and think about more intelligent design patterns
(Data classes => Procedural code)
|
| Font
This class holds font state information and provides access to the font
metrics.
|
| FontCollection
Sets up a set of fonts
|
| FontConfig
An interface for font configuration information.
|
| FontConfigurator
An abstract FontInfo configurator
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| FontMetrics
Main interface for access to font metrics.
|
| Class and Description |
|---|
| FontCollection
Sets up a set of fonts
|
| FontConfig
An interface for font configuration information.
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| FontMetrics
Main interface for access to font metrics.
|
| FontTriplet
FontTriplet contains information on name, style and weight of one font
|
| FontType
This class enumerates all supported font types.
|
| Typeface
Base class for font classes
|
| Class and Description |
|---|
| DefaultFontConfig
The font configuration data for the more generic fonts such as TTF and Type1, that are used by
most the renderers.
|
| EmbedFontInfo
FontInfo contains meta information on fonts (where is the metrics file etc.)
TODO: We need to remove this class and think about more intelligent design patterns
(Data classes => Procedural code)
|
| FontCollection
Sets up a set of fonts
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| Class and Description |
|---|
| FontConfig
An interface for font configuration information.
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| FontTriplet
FontTriplet contains information on name, style and weight of one font
|
| Class and Description |
|---|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| Class and Description |
|---|
| CustomFont
Abstract base class for custom fonts loaded from files, for example.
|
| DefaultFontConfig
The font configuration data for the more generic fonts such as TTF and Type1, that are used by
most the renderers.
|
| EmbedFontInfo
FontInfo contains meta information on fonts (where is the metrics file etc.)
TODO: We need to remove this class and think about more intelligent design patterns
(Data classes => Procedural code)
|
| Font
This class holds font state information and provides access to the font
metrics.
|
| FontCollection
Sets up a set of fonts
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| FontMetrics
Main interface for access to font metrics.
|
| FontType
This class enumerates all supported font types.
|
| LazyFont
This class is used to defer the loading of a font until it is really used.
|
| Typeface
Base class for font classes
|
| Class and Description |
|---|
| DefaultFontConfig
The font configuration data for the more generic fonts such as TTF and Type1, that are used by
most the renderers.
|
| EmbedFontInfo
FontInfo contains meta information on fonts (where is the metrics file etc.)
TODO: We need to remove this class and think about more intelligent design patterns
(Data classes => Procedural code)
|
| FontCollection
Sets up a set of fonts
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| Typeface
Base class for font classes
|
| Class and Description |
|---|
| CustomFont
Abstract base class for custom fonts loaded from files, for example.
|
| Typeface
Base class for font classes
|
| Class and Description |
|---|
| Typeface
Base class for font classes
|
| Class and Description |
|---|
| DefaultFontConfig
The font configuration data for the more generic fonts such as TTF and Type1, that are used by
most the renderers.
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| Class and Description |
|---|
| DefaultFontConfig
The font configuration data for the more generic fonts such as TTF and Type1, that are used by
most the renderers.
|
| Font
This class holds font state information and provides access to the font
metrics.
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| SingleByteEncoding
The interface defines a 1-byte character encoding (with 256 characters).
|
| Typeface
Base class for font classes
|
| Class and Description |
|---|
| DefaultFontConfig
The font configuration data for the more generic fonts such as TTF and Type1, that are used by
most the renderers.
|
| Class and Description |
|---|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| Class and Description |
|---|
| Font
This class holds font state information and provides access to the font
metrics.
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| Class and Description |
|---|
| Font
This class holds font state information and provides access to the font
metrics.
|
| FontInfo
The FontInfo holds font information for the layout and rendering of a fo document.
|
| FontTriplet
FontTriplet contains information on name, style and weight of one font
|
| TextFragment
Encapsulates a sub-sequence (fragement) of a text iterator (or other text source),
where begin index and end index are indices into larger text iterator that denote
[begin,end) of sub-sequence range.
|
| Class and Description |
|---|
| FontEventListener
Event listener interface for font-related events.
|
| FontMetrics
Main interface for access to font metrics.
|
| FontTriplet
FontTriplet contains information on name, style and weight of one font
|
| Class and Description |
|---|
| Font
This class holds font state information and provides access to the font
metrics.
|
Copyright 1999-2020 The Apache Software Foundation. All Rights Reserved.


About
Who are we?
AzeContent is an online platform created for the gathering of the necessary content in the Azerbaijani language in a single space for the development of young people and for foreigners to learn our language more easily and practically. As the youth of Azerbaijan, we are aware of the importance of adapting our language not to the requirements of the century or the year, but to the requirements of the day. That's why we are with you from now on!
Our Mission
Our mission is to provide people, especially young people, with contents in our language, to remove the language barrier that hinders their development, to make our language more well-known among young people. it is to make the Azerbaijani language accessible not only for local youth, but also for foreigners. In short, it is to develop our own language and to develop in our own language.
Our Vision
- To cross borders in our own language,
- Recognition among local youth,
- To implement unrealized projects,
- To become the most leading platform,
- Finally, to build our country in our own language.


The DLR SpaceBot Cup 2013
In 2013, ten teams from German universities and research institutes participated in a national robot competition called SpaceBot Cup, organized by the DLR Space Administration. The robots had one hour to autonomously explore and map a challenging Mars-like environment, find, transport, and manipulate two objects, and navigate back to the landing site. Localization without GPS in an unstructured environment was a major issue as was mobile manipulation and very restricted communication. We entered the competition with a multi-robot system of two rovers operating on the ground plus a quadrotor UAV simulating an observing orbiting satellite. We relied on ROS as the software infrastructure. Despite (or because of) faults, communication loss and break-downs, it was a valuable experience with many lessons learned.
Our iSAIRAS14 paper describes the robot and aspects of our strategy in more detail:
-
Phobos and Deimos on Mars – Two Autonomous Robots for the DLR SpaceBot Cup In Proceedings of International Symposium on Artificial Intelligence, Robotics and Automation in Space (iSAIRAS), 2014. In 2013, ten teams from German universities and research institutes participated in a national robot competition called SpaceBot Cup organized by the DLR Space Administration. The robots had one hour to autonomously explore and map a challenging Mars-like environment, find, transport, and manipulate two objects, and navigate back to the landing site. Localization without GPS in an unstructured environment was a major issue as was mobile manipulation and very restricted communication. This paper describes our system of two rovers operating on the ground plus a quadrotor UAV simulating an observing orbiting satellite. We relied on ROS (robot operating system) as the software infrastructure and describe the main ROS components utilized in performing the tasks. Despite (or because of) faults, communication loss and breakdowns, it was a valuable experience with many lessons learned.
Outcome
Due to the extremely ambitious task, none of the ten participating teams was able to fulfill all aspects of the competition. This reminded us of the first DARPA Grand Challenge where results were a bit disappointing at first, but largely improved during the second contest two years later.
The press dubbed our team the „most lively“ of all, but the jury refused to decide on a final ranking or even publish how many points each team gained. We felt our performance was comparably good and we would have finished among the best teams – had there been a final ranking. We had three working autonomous systems in the simulated Mars environment. Check out this cool video, showing the event from the perspective of the robot. The DLR also produced a pretty cool trailer video showing our team and the the robots.
The faulty and unreliable communication between the simulated ground control station and the robots was a more severe issue than the participants anticipated. All teams experienced massive problems when trying to send commands to their robot or receive data from it. This lead to the very unpleasant situation that some the participating teams could not even send a start command to their robot. This situation will surely be fixed for the next SpaceBot Cup 2015, so the researchers and robots can demonstrate their capabilities.
Our Conclusions
We have seen our systems working well in principle. They worked (mostly) in the lab and (sometimes) in the competition. The problem is robustness. The hardware of the rovers was fine for this purpose, sensors can be improved with current technology (better cameras, laser scanners), ROS has some major software engineering issues, but is not the bottleneck.
One of the main hurdles in achieving more robust autonomy is poor exception handling. Handling exceptions on all levels of the control architecture via recovery behaviors and contingency modes is the key to a robust and truly autonomous long-term operation of any robot. While the actual mission plan is often rather straight forward, designing and implementing these exception handling routines in the control architecture is very tedious. SMACH in its current form (even with our extensions) is not well suited to control the behavior of a robot in a complex environment with many possible error sources.
Another way to increase overall robustness is to use multiple robots that cooperate in good times but are able to work independently if other robots or communications fail. Here too, the key is exception handling and improved situational awareness, and we will concentrate on these issues in future work.
The SpaceBot Cup – as all competitions with a firm deadline – boosted our productivity and we hope to present some new ideas at a possible SpaceBot Cup 2015.
The team of Chemnitz University of Technology competes again in the SpaceBot Cup 2015. Best wishes for that exciting endeavor!


--- title: Vision utils keywords: fastai sidebar: home_sidebar summary: "Some utils function to quickly download a bunch of images, check them and pre-resize them" description: "Some utils function to quickly download a bunch of images, check them and pre-resize them" ---
path = untar_data(URLs.IMAGENETTE)
path
with tempfile.TemporaryDirectory() as d:
d = Path(d)
url = "https://www.fast.ai/images/jh-head"
_download_image_inner(d, (125,url))
assert (d/'00000125.jpg').is_file()
with tempfile.TemporaryDirectory() as d:
d = Path(d)
url_file = d/'urls.txt'
url_file.write("\n".join([f"https://www.fast.ai/images/{n}" for n in "jh-head thomas.JPG sg-head".split()]))
download_images(d, url_file)
for i in [0,2]: assert (d/f'0000000{i}.jpg').is_file()
assert (d/f'00000001.JPG').is_file()
class _FakeImg():
def __init__(self, size): self.size=size
img = _FakeImg((200,500))
test_eq(resize_to(img, 400), [160,400])
test_eq(resize_to(img, 400, use_min=True), [400,1000])


Permanently deletes a module instance and all referenced instances or soft-deletes a module on a specific page. This will not uninstall modules or affect module definitions.
| Flag | Value | Required | Default Value | Description |
|---|---|---|---|---|
| --id | integer | Yes | Explicitly specifies the Module ID of the module to retrieve. Use of the flag is not required. You can simply provide the ID value as the first argument. | |
| --pageid | integer | No | Specifies the Page ID of the page on which the module to delete resides. When you specify the pageid in addition to the required id, the module will be sent to the DNN Recycle Bin as opposed to being permanently deleted. |
This will permanently delete the module with a Module ID of 345. If you have referenced this module from any other pages, they will also be deleted. NOTE: If you used the DNN user interface to "Add existing module" and checked the "Make a Copy", those module instances will not be deleted.
This is a permanent action and cannot be reversed.
delete-module 345
The following version is a more explicit version of the code above, but does the same thing.
delete-module --id 345
This will delete a module instance on a specific page and send it to the DNN Recycle Bin
delete-module 345 --pageid 42


To show tool bar in data grid, set showToolBar to "true" in grid defination.
To show show Column Chooser in tool bar, set showColumnChooser to "true".
Column chooser will help to show/hide columns in data grid.
If any column has filterEnable set to "true", then toggle filter row button will be visible in tool bar.
To show export to CSV button in tool bar, set allowExportToCSV to "true".
In export to CSV in client side, it will download file with all data.
In server side it will make an extra call to onLoadData(option:LoadOptions) method.
In this method's option parameter, isAllPages is passed as true, which needs to be pass in "next()" method of dataSource as "isAllPages = true".


{% extends 'templates/nhs_transaction_layout.html' %} {% block content %} 213 found Filter by: Organisations Remove filters Department for Education (69) HM Revenue & Customs (27) HM Revenue & Customs (27) {% endblock %}
Filter by:


This is the final optimised cage, did you guess it right?
If you are interested in seeing the internal void of the cage,
click the Fill Space button on the right. The pore is defined
by a green sphere, and that is where guest molecules or atoms can
be stored.
Feel free to Try Again and build a new cage!


MONTAG SHORT FICTION #007
MONTAG publishes curious short fiction, exploring our strange future and what it will feel like when we get there. They take the technology you're interested in as a starting point and show where it might take us. The stories are outré, evocative, and atypical; they're also closer to today than you think.
When our laptops are hacked, we feel violated. In Ransomwear, we find out that when our wearables are hacked, we might feel something closer to terror...
Bounding up to her apartment building after a sweaty several-kilometer run in the early evening, Victoria stopped and tapped her WristLit. The tiny LED screen lit up, displaying the number of calories she just burned. Not bad, she thought, entering the lobby of her building. She swiped her wrist to get on the elevator and into her apartment on the ninth floor.
The lights came on as she entered and sat down on the floor of the apartment, stretching her hamstrings and swiping through some evening news headlines.
She marked the dog video “watch later.”
She took her running shoes off and walked to the kitchen to heat up a microwave meal for dinner. Her WristLit buzzed to remind her that she had a meeting tomorrow at 9 AM, and suggested an optimized bedtime. It would wake her up after the appropriate number of REM cycles for maximum refreshment, based on what time she managed to get to sleep.
After showering and eating quickly, and chuckling at the little dog wearing human pants, she got into bed. Checking the time on her wrist, she noticed the WristLit needed a software update, so she tapped “Update overnight” and fell asleep.
The next morning, her arm felt warm when the WristLit woke her up. The band, a woven metal mesh made of tiny plates that rearranged themselves to accommodate wrist movement, was definitely at its tightest setting. I must have been really tossing and turning, she thought, ...but I slept fine.
Turning off the alarm, an alert popped up to remind her of the morning’s meeting. She got out of bed to get ready. Dressed and armed with a smoothie for the road, she grabbed her purse and headed for the door.
But it wouldn’t open.  That’s strange, she thought. She inspected the door frame, nothing seemed to be blocking the sensor. She inspected her wrist.
There was a bright red screen overlaid on the main display.
“OOOPS, UR WRISTLIT HAS BEEN ENCRYPTED! NOTHING WORKS UNTIL U PAY. U HAVE 2 DAYS AND 16 HOURS LEFT. TO PAY, CLICK ‘PAY NOW.’”
The message scrolled across, followed by a big green button marked “PAY NOW” and a countdown marked 02:16:58:28, ticking off seconds.
This has to be some kind of joke, she thought, stunned. Then, I can’t miss this meeting! She panicked, putting down her smoothie to rummage through her purse for her smartphone. I have to call them and let them know I’m running late.
Shit, she thought. I can’t unlock it, it’s paired with the WristLit.
She wouldn’t be able to communicate with anyone or leave her house until she paid to get all of the functions of the WristLit back. She put the phone down and looked back at the glaring red screen on her wrist.
She tapped “PAY NOW.”
The next screen already had all of her banking information, which was also conveniently stored on the WristLit for mobile payments. Next to it was the bitcoin equivalent of what they wanted her to pay, and another button that said “PAY NOW.”
The number made her eyes feel like they were going to bug out of her head.
That’s more than my college tuition and I’m still going to be paying that loan back for the rest of my life! This can’t be real. There’s no way people are paying that.
She could feel blood rushing to her face, and her pulse quickening as she started to really freak out. She could feel her heartbeat against the wrist band, which was becoming increasingly irritating. She tried scratching underneath it to lessen the pressure a little, but could barely fit a fingernail beneath it. And it seemed like the more she tried to pry it up, the tighter it got.
A red mark was already forming where it dug into her flesh.
There’s no way this is happening.
She tapped the WristLit’s screen to decline the payment and swiped to go back to the first message. But a different message appeared on the screen next to the countdown timer.


1. A new generation of portable all-round test frame, modular design, providing 2 slots, supporting any combination of test modules from 10M to 10G.
2. A portable platform that provides 2-7 layers of Ethernet testing to meet the professional testing requirements of communication protocols in research and development, experimentation, network monitoring, quality control, and production.
3. It can realize 2-7 layer mixed flow test and protocol simulation, and it can be used together with V series test module.
4, support IPv4 and IPv6 protocol stack, a single port can simulate thousands of interfaces, simulate thousands of real user connections, provide test, simulation and conformance test solutions for 2-7 layers of complex protocols.
Support 2-7 layer protocol simulation to meet high-end R&D testing needs
Support network sharing remote operations to improve efficiency
Support multi-chassis cascading, all port synchronization test
Graphical operation software platform
Automate configuration of TCL scripts
Standard RFC2544/2889/3918 test kit
| model | TestStorm200 |
| Number of slots | 2 |
| power input | AC 110~240V |
| CPU | Intel Multicore High Frequency CPU |
| System control | Provide reset button, power switch |
| Status prompt | Power supply, fan, temperature status, power status of each slot |
| Operating temperature | 0℃-50℃ |
| Working humidity | Relative humidity 0-95% |
| Support module | X6000 series; X8000 series |
| size | 489mm × 393.5mm × 110mm |
| weight | 13kg |
| model | Total number of ports | Maximum port rate | details |
|---|---|---|---|
| X6004D | 8 | 1G | 4-port RJ4510/100/1000M or 4-port SFP 100/1000M test module (COMBO) |
| X6008D | 16 | 1G | 8-port RJ4510/100/1000M or 8-port SFP 100/1000M test module (COMBO) |
| X6016D | 32 | 1G | 16-port RJ4510/100/1000M or 16-port SFP 100/1000M test module (COMBO) |
| X8002F | 2 | 10G | 2-port SFP+ 10G test module |
| X8004F | 4 | 10G | 4-port SFP+ 10G test module |


{% extends "registration/registration_base.html" %} {% block title %}Login{% endblock %} {% block body %}
The best open-source security option out there (probably)
Login in. To see it in action
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Secured Pi © 2016


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Promising treatment for premenstrual dysphoric disorder, PMDD
Noel Bairey Merz: The single biggest health threat women face
Why this entrepreneur founded a startup for women’s health amid COVID-19?
Why living in a matriarchal society is better for women's health
Reduced allocation for nutritional schemes to impact health of women, children: Experts
Working with Women’s Groups to Improve Nutrition in India
8 Best Diets For Women That Go Beyond Weight Loss
5 biggest myths around working out and fitness for women, debunked by experts
Health benefits of exercise for women


Issue / PR Label
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Lecture 3 Facets, Bubbles, and Transparency
3.1 Data
For this session, we’ll explore the Hawaii Tourism Authority (HTA) monthly visitor statistics. I’ll be working with the [April 2017 Table(http://www.hawaiitourismauthority.org/default/assets/File/research/monthly-visitors/Apr17%20(rev).xlsx). Feel free to download the latest available.
3.1.1 Importing non-standard Excel files
The first steps in preparing a non-standard Excel file are (1) identify how many rows to skip and (2) provide column names if the column names are not neatly contained in a single row. You may also want to set the range
if there is metadata at the end of the table you are importing. range
overrides any skip
setting, so we wont have to specify the number of rows to skip.
library(readxl)
seats <- read_excel("data/2017 Air Seat Forecast rev 0617.xls", col_names = c(
"dep_city",
"seats2017Q1", "seats2017Q2", "seats2017Q3", "seats2017Q4", "seats2017",
"seats2016Q1", "seats2016Q2", "seats2016Q3", "seats2016Q4", "seats2016",
"seatschangeQ1", "seatschangeQ2", "seatschangeQ3", "seatschangeQ4", "seatschange"
), range = "A5:P78")
seats
## # A tibble: 74 x 16
## dep_city seats2017Q1 seats2017Q2 seats2017Q3 seats2017Q4 seats2017
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 TOTAL 2987920 3016376 3168233 3050112 12222641
## 2 SCHEDULED 2966915 2996155 3140998 3029794 12133862
## 3 CHARTERS 21005 20221 27235 20318 88779
## 4 <NA> NA NA NA NA NA
## 5 US TOTAL 1996549 2108969 2215424 2071513 8392455
## 6 SCHEDULED 1978616 2091981 2200195 2055171 8325963
## 7 CHARTERS 17933 16988 15229 16342 66492
## 8 <NA> NA NA NA NA NA
## 9 US WEST 1717254 1837080 1943653 1817441 7315428
## 10 Anchorage 25758 15105 13674 17013 71550
## # ... with 64 more rows, and 10 more variables: seats2016Q1 <dbl>,
## # seats2016Q2 <dbl>, seats2016Q3 <dbl>, seats2016Q4 <dbl>,
## # seats2016 <dbl>, seatschangeQ1 <dbl>, seatschangeQ2 <chr>,
## # seatschangeQ3 <chr>, seatschangeQ4 <dbl>, seatschange <dbl>
Let’s add a region identifier
library(dplyr)
us_west_range <- 10:23
us_east_range <- 26:33
japan_range <- 40:45
canada_range <- 48:52
other_asia_range <-55:58
oceania_range <- 61:64
other_range <- 67:74
seats$region <- NA
seats[us_west_range,]$region <- "US West"
seats[us_east_range,]$region <- "US East"
seats[japan_range,]$region <- "Japan"
seats[canada_range,]$region <- "Canada"
seats[other_asia_range,]$region <- "Other Asia"
seats[oceania_range,]$region <- "Oceania"
seats[other_range,]$region <- "Other"
seats <- seats %>%
filter(!is.na(region))
seats
## # A tibble: 49 x 17
## dep_city seats2017Q1 seats2017Q2 seats2017Q3 seats2017Q4
## <chr> <dbl> <dbl> <dbl> <dbl>
## 1 Anchorage 25758 15105 13674 17013
## 2 Bellingham 10198 318 NA 6519
## 3 Denver 55803 51654 52585 43290
## 4 Las Vegas 70514 74322 75839 75415
## 5 Los Angeles<PHONE_NUMBER>98<PHONE_NUMBER>03
## 6 Oakland 84571<PHONE_NUMBER>15 90703
## 7 Phoenix<PHONE_NUMBER>25<PHONE_NUMBER>63
## 8 Portland 90207 71068 65997 81673
## 9 Sacramento 37620 38318 38456 38456
## 10 Salt Lake City 26370 23751 22968 28322
## # ... with 39 more rows, and 12 more variables: seats2017 <dbl>,
## # seats2016Q1 <dbl>, seats2016Q2 <dbl>, seats2016Q3 <dbl>,
## # seats2016Q4 <dbl>, seats2016 <dbl>, seatschangeQ1 <dbl>,
## # seatschangeQ2 <chr>, seatschangeQ3 <chr>, seatschangeQ4 <dbl>,
## # seatschange <dbl>, region <chr>
3.2 Facets
Let’s do a simple plot comparing 2017 seats outlook to the 2016 seats outlook.
library(ggplot2)
seats %>%
ggplot(aes(seats2016, seats2017)) +
geom_point()
The distribution of this data looks like a good candidate for using the log scale (high concentration in lower values and lower concentration in higher values).
seats %>%
ggplot(aes(seats2016, seats2017)) +
geom_point() +
scale_x_log10() +
scale_y_log10() +
geom_abline(lty = 2) # dashed line type (lty)
## Warning: Transformation introduced infinite values in continuous y-axis
Since we have region identifiers it would be nice to divide our data and see charts of each region side-by-side. Facets allow us to make multiple charts based on a variable or set of variables.
seats %>%
ggplot(aes(seats2016, seats2017)) +
geom_point() +
scale_x_log10() +
scale_y_log10() +
geom_abline(lty = 2) +
facet_wrap(~ region) +
coord_fixed()
## Warning: Transformation introduced infinite values in continuous y-axis
An alternative representation is to present each region using color:
seats %>%
ggplot(aes(seats2016, seats2017, color = region, label = dep_city)) +
geom_point() +
scale_x_log10() +
scale_y_log10() +
geom_abline(lty = 2) +
geom_text(check_overlap = TRUE, nudge_y = 0.1)
## Warning: Transformation introduced infinite values in continuous y-axis
## Warning: Transformation introduced infinite values in continuous y-axis
3.3 Bubbles
Bubble charts are scatter plots (geom_point) with points that vary in size corresponding to the value of a given variable. Let’s create a measure of the size of a city’s seats relative to its regional total.
seats <- seats %>%
group_by(region) %>%
mutate(proportion_of_region = seats2017/sum(seats2017))
Now we can modify the chart to show the importance of each city in the context of its region.
seats %>%
filter(region %in% c("US West", "US East")) %>%
ggplot(aes(seats2016, seats2017, color = region, label = dep_city)) +
geom_abline(lty = 2) +
geom_point(aes(size = proportion_of_region)) +
scale_x_log10(labels = scales::comma) +
scale_y_log10(labels = scales::comma) +
geom_text(check_overlap = TRUE, nudge_y = 0.1)
3.4 Transparency
We can also use transparency (or alpha) to make less important points less visible. We do this by setting the alpha
aesthetic. Let’s try adding the alpha setting to the geom_point()
call first.
seats %>%
filter(region %in% c("US West", "US East")) %>%
ggplot(aes(seats2016, seats2017, color = region, label = dep_city)) +
geom_abline(lty = 2) +
geom_point(aes(size = proportion_of_region, alpha = proportion_of_region)) +
scale_x_log10(labels = scales::comma) +
scale_y_log10(labels = scales::comma) +
geom_text(check_overlap = TRUE, nudge_y = 0.1)
Let’s add the alpha to the ggplot-level aesthetic instead, so that it also affects the text labels.
seats %>%
filter(region %in% c("US West", "US East")) %>%
ggplot(aes(seats2016, seats2017, color = region, label = dep_city, alpha = proportion_of_region)) +
geom_abline(lty = 2) +
geom_point(aes(size = proportion_of_region)) +
scale_x_log10(labels = scales::comma) +
scale_y_log10(labels = scales::comma) +
geom_text(nudge_y = 0.1)
We can combine all the regions now and use transparency to help us see how many cities are in the same area on the plot by how dark a region is.
seats %>%
ggplot(aes(seats2016, seats2017, label = dep_city, alpha = proportion_of_region)) +
geom_abline(lty = 2) +
geom_point(aes(size = proportion_of_region)) +
scale_x_log10(labels = scales::comma) +
scale_y_log10(labels = scales::comma) +
geom_text(aes(color = region), hjust = "right", vjust = "center")
## Warning: Transformation introduced infinite values in continuous y-axis
## Warning: Transformation introduced infinite values in continuous y-axis
Let’s use facets so we can combine everything we’ve done so far.
seats %>%
ggplot(aes(seats2016, seats2017, label = dep_city, alpha = proportion_of_region)) +
geom_abline(lty = 2) +
geom_point(aes(size = proportion_of_region), color = "darkblue") +
scale_x_log10(labels = scales::comma) +
scale_y_log10(labels = scales::comma) +
geom_text(hjust = "right", vjust = "center", nudge_x = -0.3) +
facet_wrap(~ region)
## Warning: Transformation introduced infinite values in continuous y-axis
## Warning: Transformation introduced infinite values in continuous y-axis


Class PendingAuthorisationEventArgs
Arguments for the PendingAuthorisation event.
Inherited Members
Namespace: Yort.Humm.InStore
Assembly: Yort.Humm.InStore.dll
Syntax
public sealed class PendingAuthorisationEventArgs : EventArgs
Constructors
| Improve this Doc View SourcePendingAuthorisationEventArgs(String, Int32, Dictionary<String, String>)
Initializes a new instance of the PendingAuthorisationEventArgs class.
Declaration
public PendingAuthorisationEventArgs(string clientReference, int retryDuration, Dictionary<string, string> trackingData)
Parameters
| Type | Name | Description |
|---|---|---|
| String | clientReference | The client reference of the request associated with this event. |
| Int32 | retryDuration | The minimum amount of time, in seconds, to wait before re-checking the request status. |
| Dictionary<String, String> | trackingData | The tracking data associated with the original request, if any (may be null). |
Properties
| Improve this Doc View SourceClientReference
Returns the client reference of the request that caused this event.
Declaration
public string ClientReference { get; }
Property Value
| Type | Description |
|---|---|
| String | The client reference of the ProcessAuthorisationRequest that is pending. |
RetryDuration
Returns the minimum number of seconds to wait until re-checking the request status.
Declaration
public int RetryDuration { get; }
Property Value
| Type | Description |
|---|---|
| Int32 | The duration of the retry interval (in seconds). |
TrackingData
Returns the tracking data associated with the original request, if any (may be null).
Declaration
public Dictionary<string, string> TrackingData { get; }
Property Value
| Type | Description |
|---|---|
| Dictionary<String, String> | The tracking data from the original ProcessAuthorisationRequest. |


{{plant.plDesc}}
Located at {{plant.decimalLatitude}}, {{plant.decimalLongitude}}
These are all the plant locations saved to the plant map. Feel free to edit a plant's data (by clicking on the 'Edit' button) to better describe a plant!
{{plant.plDesc}}
Located at {{plant.decimalLatitude}}, {{plant.decimalLongitude}}


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--- layout: components title: Form controls ---
A simple button file input to put in forms for simple uploads. File name displaying is handle via Javascript. If your requirements are heavier, head to the File uploader section.
You may need to diplay a file input as an input field. Check the example below.
Basic checkboxes have a light markup and work well in all browsers.
Radio groups can have their size and colors customized individually. Available color classes are
.is-primary
, .is-secondary
and .is-accent
.
Square checkboxes are handy when you need multiple checkboxes at once. 8 colors are available:
default, .is-info
, .is-success
, .is-warning
,
.is-danger
, .is-primary
, .is-secondary
and
.is-accent
Colored checkboxes can be circular. Add the .is-circular
class to a
.b-checkbox
element to make it rounded.
Switch toggles are available in 4 sizes. No javasccript required.
Switches can be outlined. Add the .is-outlined
class to a .switch
element
to make it outlined.
Switches can be thin. Add the .is-thin
class to a .switch
element to make
it thinner.
Switches can be thin and outlined. Add the .is-outlined
and .is-thin
classes to a .switch
element to make it both thin and outlined.
Add the color modifier to the .switch
element. Available classes are default,
.is-info
, .is-success
, .is-warning
, .is-danger
,
.is-primary
, .is-secondary
and .is-accent
Add the color modifier to the .switch.is-outlined
element. Available classes are
default, .is-info
, .is-success
, .is-warning
,
.is-danger
, .is-primary
, .is-secondary
and
.is-accent
Add the color modifier to the .switch.is-thin
element. Available classes are default,
.is-info
, .is-success
, .is-warning
, .is-danger
,
.is-primary
, .is-secondary
and .is-accent
Add the color modifier to the .switch.is-thin.is-outlined
element. Available classes are
default, .is-info
, .is-success
, .is-warning
,
.is-danger
, .is-primary
, .is-secondary
and
.is-accent


Hello
We have received a request to change your password. Follow the below link to complete the process. {{ link }}
Thanks, Vbettrader


This package contains the Kowalski Engine Java bindings. The API is very similar to that defined in the Kowalski Engine C header kowalski.h. One slight difference to be aware of is that the typedefs kwlEventHandle and friends do not exist in the Java version, but are instead represented by whatever primitive type the typedefs resolve to. The Kowalski Engine API is exposed through the static class Kowalski, so a call to a method kwlXXX in the C api translates to the Java call Kowalski.kwlXXX.
Loading library. Bla bla...
line 1
line2
line 3
line 4;


@* * Copyright 2021 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.traderservices.models.EntryDetails @this( govukLayout2: uk.gov.hmrc.traderservices.views.html.templates.GovukLayoutWrapper2, forms: uk.gov.hmrc.traderservices.views.components.forms, html: uk.gov.hmrc.traderservices.views.components.html ) @(form: Form[String], postAction: Call, backLink: Call)(implicit request: Request[_], messages: Messages) @govukLayout2( pageTitle("view.write-response-text.title",form), backLink = Some(backLink.url), mainContentClasses = "") {


delegating
Frequently one wishes to define a class with a collection of member functions whose implementations are borrowed from an existing class. The most straightforward way to achieve this implementation reuse in C++ is through public inheritance:
class PreExisting { public: void foo() { ... } void bar() { ... } void baz() { ... } }; class NewClass : public PreExisting { // Implementation of foo, bar and baz inherited from PreExisting ... };
Sometimes, however, public inheritance may not be adequate, for several reasons:
public
or protected
constructors.
For example:
class PreExisting2 { public: void foo() { ... } void bar() { ... } void baz() { ... } static PreExisting2* NewPreExisting2() { return new PreExisting; } private: PreExisting2() { ... } }; class NewClass : public PreExisting2 // Oops { ... };
An early version of C++ contained a delegation facility which addressed this problem. The following example is adapted from [Stroustrup], p. 272:
class PreExisting2 { /* As above */ }; class NewClass : *p { public: NewClass() : p(PreExisting2::NewPreExisting2()) { } private: PreExisting2* p; }; void f(NewClass* q) { q->bar(); // meaning q->p->bar() }
Here, calls of member functions of B
through an instance of C
are automatically forwarded to p
, which is known as the delegate. Unfortunately, this language construct was found to be a source of bugs and confusion an was removed. See [Stroustrup], pp 272-73.
In the current language, the usual solution is to redeclare the desired functions in the new class and to implement them by forwarding to an instance of the pre-existing class. For example:
class PreExisting2 { /* As above */ }; class NewClass { public: NewClass() : p(PreExisting2::NewPreExisting2()) { } void foo() { p->foo(); } void bar() { p->bar(); } void baz() { p->baz(); } private: PreExisting* p; };
delegating
Boost.Interfaces provides an alternative solution: the class template delegating
can be used to automatically forward interface function calls to an object specified at runtime.
For example, using delegating
, we can write:
class PreExisting2 { /* As above */ }; // Pseudocode interface IPreExisting { void foo(); void bar(); void baz(); }; class NewClass : public delegating<IPreExisting> { public: NewClass() : p(PreExisting::NewPreExisting2()) { delegating<IPreExisting>::set(p); } PreExisting2* p; };
Note that this example is very similar to the example from Stroustrup. The differences are:
set
rather than in the base class list.
Furthermore, the delegate is not restricted to having a predetermined type. In the above example, we could add member pointers to various types implementing IPreExisting
and switch between them at runtime. The template delegating
therefore provides a form of dynamic inheritance.
If the interface consisting of the functions to be forwarded is not needed for any other purpose, the solution using delegating
may involve the same amount of work as the immediately preceding solution. But if the interface already exists, or if we need to use objects of unrelated types as delegates, using delegating
can be much simpler.
In the future, Boost.Interfaces may provide support for COM-style aggregation, a form of delegation in which the delegate has direct access to the delegating object. See Future Directions: Aggregation.
Revised 13 Jan, 2005
© Copyright Jonathan Turkanis, 2005. Distributed under the Boost Software License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)


--- layout: post title: '336km: A New Monthly Record' date: 2012-07-02 14:08:32.000000000 +01:00 tags: - training - MAF type: post published: true ---
Last month was a bumper month for running for me. Check it out...
If you add up all those numbers on the right, and subtract the 3 days' running from May, you get a nice round total of 336.30km. Now how's that for a lot of running in a single month.
Unlike my previous month, this month was pretty much exclusively running. I didn't do any dedicated weights sessions or swimming as I find both of these impact my running more than I'd like. I might bring those back during the winter months when I don't always want to head outside.
So not only did I run over 100km in a single week last month, I also set a new record for the highest mileage in a single month. Great stuff and best of all I felt pretty good all month with the exception of the end of last week when I was feeling a little tired from a couple of late nights and some tough racing. This MAF training is really working for me.
July won't be a bumper month as I've got a week's holiday booked, but I think it'll still be a big month as I plan to start squeezing in more of those 100+ kilometre weeks when I get back.


Swansea is on the southern coast of Wales. It lies on the northern side of the Bristol Channel at the eastern end of the attractive Gower Peninsular..


Waveform.js makes drawing SoundCloud waveforms simple and lets you style and color them the way you want it.


function ColorExclusion(C1, C2: TColor32): TColor32;
The resulting color components are formed from the formula
S = C1 + C2 - 2 * C1 * C2.
[See Also] ColorDifference


{% extends 'base.html' %} {% block content %}
If you need an invoice for your payment, please write us an email to<EMAIL_ADDRESS>with the following details:
{{ doc.doc.name }}


The PANEL Project
Hello!
Have you heard? The new programming language, PANEL, has just been released!
It was created by CookiePanda inside Python 2.7. This language uses lots of
functions of the command prompt such as window color, clearing the screen, etc.
Download!


Basic custom controls
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link to the video
instead.
Play
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Uh, oh! {{ error }}.
For best results make sure target stands out from background and all four corners are visible.


In live trading mode we allow sending Email, SMS and Web-Hook notifications to notify you of significant events. You can send up to 20 notifications per hour. These are only sent during live trading.
| Method | Code Snippet |
|---|---|
| SMS |
Notify.Sms(string phoneNumber, string message);
|
Notify.Email(string address, string subject, string message, string data = "");
|
|
| Web Hook |
Notify.Web(string address, object data = null);
|
//Send yourself an email on live trade executions<EMAIL_ADDRESS>"Live Trade Executed", "Bought 100 Shares of AAPL"); Notify.Sms("+1 1234 5678", "SPY Trade at " + data.Bars["SPY"].Close);
#Send yourself an email on live trade executions<EMAIL_ADDRESS>"Live Trade Executed", "Bought 100 Shares of AAPL") # Example sending notification with price with slice obect from inside OnData # Try not to do this; it'll send hundreds of sms! def OnData(self, slice): self.Notify.Sms("+1234567890", "BTCUSD Price at " + str(slice["BTCUSD"].Close))


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 When you do this, you'll incur a 10% Dividend Fee, paid out to existing B1VS holders. The more B1VS shares you hold, the larger percentage of the dividends you are paid.
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Hong Kong leader says violence has far exceeded calls for democracy
HONG KONG, Nov 11 — Hong Kong's embattled leader Carrie Lam said today the violence that is roiling the former British colony has exceeded protesters' demands for democracy and demonstrators are now the people's enemy.
Lam was speaking hours after police shot a protester, a man was set alight and volleys of tear gas were fired at lunch time in the heart of the financial centre in some of the most dramatic scenes to grip the city during months of unrest. — Reuters


KONSYL 100 PERCENT NATURAL PSYLLIUM FIBER
- psyllium husk capsule
Konsyl Pharmaceuticals, Inc.
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
KONSYL 100% Natural Psyllium Fiber Capsules
Active ingredient (in each capsule)
Psyllium husk approx. 20 mg
Uses
- for relief of occasional constipation and to induce regularity. This product generally produces bowel movement within 12 to 72 hours
Warnings
Choking Taking this product without
adequate fluid may cause it to swell and block your throat or esophagus and may
cause choking. Do not take this product if you have difficulty in swallowing. If
you experience chest pain, vomiting or difficulty in swallowing or breathing
after taking this product, seek immediate medical attention.
Do not use
- when abdominal pain, nausea or vomiting are present unless directed by a
doctor
- If constipation lasts more than seven days
- if you have difficulty swallowing
Ask a doctor before use if you have
- noticed a sudden change in bowel habits that persists over a period of 2
weeks
Stop use and ask a doctor if- you experience rectal bleeding or fail to have a bowel movement, as these
may be signs of a serious condition
Keep out of reach of children.
In case of overdose, get medical help or contact a Poison Control Center right away.
Directions
adults and children 12 years and over
|
5 capsules one to three times daily
|
children under 12 years
|
consult a doctor
|
- Take this product (child or adult dose) with at least 8 ounces (a full glass0 of water or other fluid. Taking this product without enough liquid may cause choking. See choking warning.
- follow dosage above or use as directed by a doctor
Other information
- laxatives, including bulk fibers, may affect how other medicines work, wait
1-2 hours before or after taking other medicines
- tamper-evident bottle mouth sealed for your protection
- do not use if imprinted inner seal is broken or missing
- store below 86 degrees F (30 degrees C)
- can be taken before or after meals, mornings or evenings
Inactive ingredients
FDandC yellow 6, gelatin. polyethylene glycol, polysorbate 80
Konsyl Pharmaceuticals, Inc.


Sarfaraz must focus on domestic cricket: Pak PM Khan
by PTIPrime Minister Imran Khan has advised sacked Pakistan captain Sarfaraz Ahmed to focus on domestic cricket to get back to the national team.
Khan, the patron-in-chief of Pakistan Cricket Board and a former captain, also backed the appointment of Misbah-ul-Haq as head coach and chief selector.
"I don't think the performance and form of a player should be judged by T20 cricket but through Test and One-day cricket. He can come back to the national team, he should focus on domestic cricket," Khan said when asked about Sarfaraz.
The wicketkeeper-batsman was removed as captain and dropped from the team in all three formats by the PCB last month after Pakistan were whitewashed 0-3 in a T20 series at home by a weak Sri Lankan team.
Regarding the appointment of Misbah as head coach and chief selector, Khan said, "It is a constructive move to appoint Misbah as he is an honest and unbiased personality who has loads of experience behind him.
"I think Misbah will turn out to be a good choice and Pakistan will improve and do well in Test and ODI cricket under him. He has this talent in him that he can groom the players and also improve their performance," he added.
Khan also supported the new domestic first-class season in which only six provincial teams are competing on home and away basis and said eventually this will lead to a better cricket system in the country.
He noted that there was already some improvement in domestic cricket and hoped it will get better.
"If our domestic cricket improves, then Pakistan cricket will also move forward."


People
On the basis of his Halstedian training, Bell was recruited to UCSF as head of the Division of General Surgery by Howard C. Naffziger who encouraged him to build a formal training program. Dr. Bell was chairman of the Department of Surgery from 1946 to 1956. From 1930 until his retirement in 1960 he worked with and trained hundreds of students, interns, and residents in surgery and many of these moved into the California community to practice excellent technical surgery. His students long remembered him as "the doctor's doctor," a man of "warmth, frankness, honesty and sincerity ....who felt it was a privilege to operate upon a patient." In 1961, he was awarded an honorary doctor of law degree from the University of California and an honorary doctor of science degree from the University of Cincinnati. He continued his private practice in San Francisco until 1969.
References:


BY EDWIN JAHIEL
MALENA (Italy, 2000) *** Directed and written by Giuseppe Tornatore from a story by Luciano Vincenzoni. Photography, Lajos Koltai. Editing, Massimo Quaglia. Art direction, Francesco Frigeri. Sets, Bruno Cesari. Costumes, Maurizio Millenotti. Music, Ennio Morricone. Cast: Monica Belluci (Malena), Giuseppe Sulfaro (Renato Amoroso), Luciano Federico (Renato's father), Matilde Piana (Renato's mother), Pietro Notarianni (Professor Bonsignore), et al. A Miramax co-production and release. In Italian with subtitles. 94 minutes. R (sex, language) . Malena is the hypocoristic form of Madalena, but there is nothing diminutive about supermodel-actress Monica Belluci. She has appeared in two dozen films, Italian and French, all unknown to me save for "Under Suspicion" (USA, with Gene Hackman and Morgan Freeman) which I tried to watch but gave up. They were mostly minor items, not imported in the USA. The few that were had minimal distribution.
A bit of history. Italy's Fascist leader (Il Duce) Benito Mussolini, has embroiled the country in World War II. In June 1940, as France was about to surrender to Germany, Mussolini, kicking France when she was down, joined World War II with a ridiculous attack on the South of France. Earlier, Italy had swallowed tiny Albania. From it, in October 1940 it attacked Greece which was less than half the size of Italy, had about one seventh of its population, and a non-mechanized army. But David drubbed Goliath so spectacularly that Hitler, to rescue its ally Italy and save face, had to send his juggernaut to Greece, which it occupied in April 1941.
It is 1940 and the Italian civilians may remind you of the WWII song sung by Bette Davis, "They're either too young or too old." That's most of the male population of the Sicilian seaside town of Castelcuto. But all, from pubescent to elderly lust after gorgeous, 27-year old Malena.
Whether or not "statuesque" applies to her, she is emphatically a sight to remember. Her husband is away in the army.  But whenever she walks in town (which is often), we recall those Vittorio de Sica movies in which Sophia Loren, in Naples and elsewhere, marches in provocative, camera-detailed fashion that makes all heads turn. Men compensate for their frustrated libido with nasty remarks. Jealous local women are ready with catty comments.
Malena, while more ambiguously and less obviously inflammatory than Loren, is conscious of the stir she causes, keeps a deadpan face, and hardly ever speaks.
The teen-age schoolboys under her thrall make me wonder whether Tornatore remembered Truffaut's short film "Les Mistons," in which the sap rises within mischievous pre-teen boys. Unconscious of their desire for a local beauty, they take out their confusion on her and her boyfriend, stalk them, and play silly pranks on the couple.
The kids in the movie already wear long pants--a symbol of manhood-- except for the younger Renato who is twelve-and-a-half and barely manages to join the fan club.
The youths fantasize about Malena with graphic, coarse comments--except, again, for lovestruck Renato who stalks her, even makes a peephole in her house, spies on her but never speaks to this divine creature. His reveries include parodies of classic movie scenes, from romance to gladiatorial, "starring" himself and Malena. Other amusing sections include his pursuit of long pants and a "grown-up" chair at the barbershop; stealing his idol's panties; his mother trying to cure him by exorcism but Dad opting to take Renato to a bordello in which the boy selects a Malena look-alike.
The movie portrays the Sicilians as loud and excitable, in a post-neorealist way. Then comes a change of modes and moods. The comical-sexual satire shifts gears into near-tragedy. Malena's husband is reported dead at the front. Widows are acceptable prey. The old tabu is lifted for some of the lusting males. To subsist, now indigent Malena turns into a reluctant prostitute--and a pariah.
In July 1943 Liberation from the Germans comes as G.Is enter the town. Jealous wives attack Malena for having consorted with the enemy. They cut off her hair --a punishment common in many countries, and shown in films such as "Hiroshima, Mon Amour."
Malena goes away, joining hordes of refugees. But later her husband reappears, and finally both return to Castelcuto where both Malena and her former accusers reach a cautiously redemptive, hesitantly open-ended ending.
Tornatore continues his string of first-rate movies. Fame and prizes (at Cannes, at the Oscars, etc.) came with "Cinema Paradiso," his second film. Before this was a solid first feature "Il Camorrista," not distributed in the US in spite of an American actor, Ben Gazzara. Before that, Tornatore had made several fine TV films, imaginative, cultural documentaries. Post-"Cinema Paradiso" came a string of features that were mostly excellent but still suffered from US lack (or spottiness) of distribution: the marvelously touching "Everybody's Fine," "Especially on Sunday," "A Pure Formality," "The Star Maker," "The Legend of 1900."
From lyrical scenes to a bombing raid "Malena" is splendidly shot by the great, Hungarian-born Lajos Koltai. The loving views of Sicily compete for splendor with Malena's. All production values are superior, from period costumes to Ennio Morricone's music (he is Tornatores's constant collaborator). The subtitling is exceptionally good and rich.
Shooting was in the southeastern towns of Siracusa (pop. 32,000) and Noto (pop. 22,000), then in Morocco, where there was sunshine while winter was coming to Sicily.
On the iffy side: It is confusing that the invented Castelcuto is supposedly "a sleepy village" yet looks like a town.
Also confusing is the Professor, Malena's father (or father-in-law, it is unclear), who teaches Latin, is constantly the butt of the pupils' loud, vulgar remarks about Malena. But he seems not to notice them, yet there's no proof that he is deaf.
An explanation may be that the film's American copies are 94 minutes long while in Italy they run 105 minutes.
As in most foreign movies, or for that matter American pictures that deal with the past, there's a dimension here that fleshes out matters for Italians, though perhaps not some younger ones. The references to the popular song "Ma l'Amore No" and to Alida Valli. The fascist anthem "Giovinezza." The mocking of Mussolini and his regime. The allusions to Italy's rout in North Africa. The post-Liberation former Fascists who are cynical, well-dressed and perhaps still in positions of privilege. And so on. But cuts and references notwithstanding, this is a most satisfying and original work.
-- "le mauvais gout mene au crime" (Stendhal)
Movie reviews by Edwin Jahiel are at : http://www.prairienet.org/ejahiel
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


pysal.explore.spaghetti.
Network
(in_data=None, vertex_sig=11, unique_arcs=True, extractgraph=True, w_components=True, weightings=False)[source]¶Spatially-constrained network representation and analytical functionality. Naming conventions are as follows, (1) arcs and vertices for the full network object, and (2) edges and nodes for the simplified graph-theoretic object. The term ‘link’ is used to refer to a network arc or a graph edge.
The input geographic data. Either (1) a path to a shapefile (str); or (2) a geopandas.GeoDataFrame.
Round the x and y coordinates of all vertices to vertex_sig
significant digits (combined significant digits on the left and
right of the decimal place). Default is 11. Set to None
for
no rounding.
If True
(default), keep only unique arcs (i.e., prune
out any duplicated arcs). If False
keep all segments.
If True
, extract a graph-theoretic object with no degree 2
nodes. Default is True
.
Set to False
to not record connected components from a
pysal.lib.weights.weights.W
object. Default is True.
If dict
, lists of weightings for each arc. If bool
,
True
flags self.arc_lengths
as the weightings,
False
sets to no weightings. Default is False
.
Examples
Instantiate an instance of a network.
>>> import pysal.explore.spaghetti as spgh
>>> streets_file = examples.get_path('streets.shp')
>>> ntw = spgh.Network(in_data=streets_file)
Snap point observations to the network with attribute information.
>>> crimes_file = examples.get_path('crimes.shp')
>>> ntw.snapobservations(crimes_file, 'crimes', attribute=True)
And without attribute information.
>>> schools_file = examples.get_path('schools.shp')
>>> ntw.snapobservations(schools_file, 'schools', attribute=False)
List of lists storing vertex adjacency.
Keys are the vertex ID and values are the (x,y) coordinates inverse to vertices.
List of vertex IDs.
Keys are tuples of vertex coords and values are the vertex ID.
List of arcs, where each arc is a sorted tuple of vertex IDs.
Keys are tuples of sorted vertex IDs representing an arc and values are the length.
Keys are a string name of the pattern and values are
PointPattern
class instances.
Keys are the vertex IDs (int
). Values are tuples with two
elements as follows (1) a list of the shortest path distances;
(2) a dict with the key being the id of the destination vertex
and the value being a list of the shortest path.
all network vertices (non-observations) distance matrix.
tuples of graph edge ids.
Keys are the graph edge ids (tuple). Values are the graph edge
length (float
).
All vertices with degree 2 that are not in an isolated island ring (loop) component
Weights object created from the network arcs
Count of connected components in the network.
Component labels for networks arc
Lookup {int: list}
for arcs comprising network
connected components keyed by component labels with arcs in
a list
as values.
Lookup {int: bool}
keyed by component labels with values
as True
if the component is a closed ring, otherwise
False
.
Weights object created from the graph edges
Count of connected components in the network.
Component labels for graph edges
Lookup {int: list}
for edges comprising graph connected
components keyed by component labels with edges in a list
as values.
Lookup {int: bool}
keyed by component labels with values as
True
if the component is a closed ring, otherwise False
.
Methods
|
Computes a network constrained F-Function |
|
Computes a network constrained G-Function |
|
Computes a network constrained K-Function |
|
Compute either all distances between |
|
Given an observation on a network arc, return the distance to the two vertices that bound that end. |
|
Given an observation snapped to a network arc, calculate the distance from the original location to the snapped location. |
|
Create a contiguity-based pysal.lib W object. |
|
Compute the counts per arc or edge (link). |
|
Create distance based weights. |
|
Returns the arcs (links) around vertices. |
|
Extract connected component information from a |
|
Using the existing network representation, create a graph-theoretic representation by removing all vertices with a neighbor incidence of two (non-articulation points). |
|
All vertex-to-vertex distances on a network. |
|
Load a network from a binary file saved on disk. |
|
Compute the interpattern nearest neighbor distances or the intrapattern nearest neighbor distances between a source pattern and a destination pattern. |
|
Save a network to disk as a binary file. |
|
Generate a simulated point pattern on the network. |
|
Snap a point pattern shapefile to network object. |
|
Split all of the arcs in the network at either a |
__init__
(self, in_data=None, vertex_sig=11, unique_arcs=True, extractgraph=True, w_components=True, weightings=False)[source]¶Initialize self. See help(type(self)) for accurate signature.
Methods
|
Computes a network constrained F-Function |
|
Computes a network constrained G-Function |
|
Computes a network constrained K-Function |
|
Initialize self. |
|
Compute either all distances between |
|
|
|
Given an observation snapped to a network arc, calculate the distance from the original location to the snapped location. |
|
Create a contiguity-based pysal.lib W object. |
|
|
|
Create distance based weights. |
|
|
|
Using the existing network representation, create a graph-theoretic representation by removing all vertices with a neighbor incidence of two (non-articulation points). |
|
Load a network from a binary file saved on disk. |
|
Compute the interpattern nearest neighbor distances or the intrapattern nearest neighbor distances between a source pattern and a destination pattern. |
|
|
|
Save a network to disk as a binary file. |
|
|
|
Generate a simulated point pattern on the network. |
|
Snap a point pattern shapefile to network object. |


Two men killed during shoot-out at St Andrew cemetery
Two men are dead following a running gun battle with cops through the Chinese Cemetery in St Andrew this morning.
A third man reportedly escaped and is on the run.
Police personnel on scene told The Gleaner that the men, armed with high-powered weapons, were spotted by cops along Waltham Park Road who chased them into the cemetery, where there was a fire fight.
At the end of the exchange, two men were found suffering from gunshot wounds.
The police reported that firearms, including one Mac 11 submachine gun, were recovered.


#include <ILoader.hpp>
Inherits err::framework_exception.
User which develop a new class inherrited from iloader, must use this class to throwing errors and indicate unexpected situations. Everybody use this class to catching exceptions from loaders.


vignettes/upbm-classes.Rmd
upbm-classes.Rmd
For an introduction to the upbm package, please see the quick start vignette (vignette("upbm-quickstart")
). Here, we provide details on the two classes introduced in the package, PBMDesign and PBMExperiment. The PBMDesign class acts as a container for protein binding microarray (PBM) design information, while the PBMExperiment class serves as the container for PBM experimental data.
suppressPackageStartupMessages(library("upbm"))
PBMDesign objects for standard universial PBM (uPBM) designs are included in the upbmAux package. Additionally, example PBMExperiment objects are included in the upbmData package containing data from uPBM experiments performed using the HOXC9 transcription factor. We use these objects to help illustrate the simple structure of each class.
suppressPackageStartupMessages(library("upbmAux"))
suppressPackageStartupMessages(library("upbmData"))
The PBMDesign class is used to organize the probe information for PBM experiments. PBMDesign objects are composed of 3 components (slots):
design
: a data.frame of probe IDs, sequences, and other metadata,probeFilter
: an optional list of filtering rules to distinguish signal probes from control spots,probeTrim
: an optional pair of integers specifying the start and end of the probe sequences to use for analysis.We can take a look at the pbm_8x60k_v1
design object from the upbmAux package to get a better sense of these components.
data(pbm_8x60k_v1, package = "upbmAux")
pbm_8x60k_v1
## class: PBMDesign
## design dim: 62976 4
## design colnames(4): Column Row probeID Sequence
## probeFilter names(1): probeID
## probeTrim: 1 36
From the object description, we can see that the design contains 62976 rows and 4 columns. Each row is a probe in the PBM array. Two columns, "probeID"
and "Sequence"
must be defined for the object to be a valid PBMDesign. The other two columns, "Row"
and "Column"
are optional information which are needed to perform spatial adjustment with upbm::spatiallyAdjust
.
head(design(pbm_8x60k_v1))
## Column Row probeID
## 1 1 1 GE_BrightCorner
## 2 2 1 GE_BrightCorner
## 3 3 1 DarkCorner
## 4 4 1 DarkCorner
## 5 5 1 Cbf_5b_Hi_n359_o2_r1
## 6 6 1 dBr_14334_Jan07
## Sequence
## 1 #N/A
## 2 #N/A
## 3 #N/A
## 4 #N/A
## 5 GAAGCTATTCAGATCGACGTGACATGTATATAGTAGGTCTGTGTTCCGTTGTCCGTGCTG
## 6 GGTGTGAGTCCATTTCGTCAAACCAACGCAACAGGTGTCTGTGTTCCGTTGTCCGTGCTG
In addition to dsDNA probes which measure protein binding, PBMs typically include control probes designed by Agilent or the user. These probes should be excluded for certain normalization and downstream analysis steps (e.g. Cy3 normalization and spatial adjustment).
The probeFilter
slot is a list of functions which are used to distinguish target probes from control probes. The list must be named with names matching columns in the design shown above. We can get and set the probeFilter
slot by calling upbm::probeFilter
.
names(probeFilter(pbm_8x60k_v1))
## [1] "probeID"
Here, the PBMDesign object includes a single probe filtering rule associated with the "probeID"
column.
probeFilter(pbm_8x60k_v1)$probeID
## function(x) { grepl("^dBr", x) }
## <bytecode: 0x7fc402f1a898>
The rule must be a function that takes the specified column ("probeID"
) as input and returns a logical vector of the same length. Only rows which return TRUE
for all rules are kept for downstream analysis. In the pbm_8x60k_v1
design, the single filter checks the probe IDs and returns TRUE
for the subset prefixed with dBr_
, corresponding to the subset of de Bruijn sequence probes on the array. Filtering can be performed using upbm::pbmFilterProbes
.
pbm_8x60k_filtered <- pbmFilterProbes(pbm_8x60k_v1)
pbm_8x60k_filtered
## class: PBMDesign
## design dim: 41944 4
## design colnames(4): Column Row probeID Sequence
## probeFilter names(0):
## probeTrim: 1 36
Notice that the returned PBMDesign has fewer probes than the original design. We can explicitly verify that this smaller number of probes matches the number of probes containing the dBr
prefix in the "probeID"
column.
##
## FALSE TRUE
## 21032 41944
After filtering has been performed, the probeFilter
slot of the returned PBMDesign is cleared to prevent iterative application of the filtering critera.
Finally, the probeTrim
slot is an optional numeric vector of length 2. Again, this can be accessed and set using the upbm::probeTrim
function.
probeTrim(pbm_8x60k_filtered)
## [1] 1 36
Revisiting the design of the probes, notice that the probe sequences all end in a common 24nt primer sequence.
head(design(pbm_8x60k_filtered)$Sequence)
## [1] "GGTGTGAGTCCATTTCGTCAAACCAACGCAACAGGTGTCTGTGTTCCGTTGTCCGTGCTG"
## [2] "CAGTCTAAGTTTTCGGATTACCATTAGAAATTGATGGTCTGTGTTCCGTTGTCCGTGCTG"
## [3] "CTTTTTAAAGACCTAGGAATCATTGCATTCTTATTGGTCTGTGTTCCGTTGTCCGTGCTG"
## [4] "CAGCTACGGAAGAGTAAAGGTTGTCGAAGCCGTGCAGTCTGTGTTCCGTTGTCCGTGCTG"
## [5] "GCTTCGAACGTGGGCGATGGAACAAGTCGCAGTCATGTCTGTGTTCCGTTGTCCGTGCTG"
## [6] "CGCCCGTGGTAACAGTTACGAAAATTACATGCGAAAGTCTGTGTTCCGTTGTCCGTGCTG"
The probeTrim
slot specifies the start and end positions in the sequences that should be kept to map K-mers to probes. By default, this is set to (1, 36)
in the uPBM designs in upbmAux to exclude the common 24nt primer sequence at the end of all probes. While the values may be modified to include some or all of the primer sequence, this has not been extensively evaluated. Probe trimming can be performed using upbm::pbmTrimProbes
.
pbm_8x60k_trimmed <- pbmTrimProbes(pbm_8x60k_filtered)
head(design(pbm_8x60k_trimmed))
## Column Row probeID Sequence
## 6 6 1 dBr_14334_Jan07 GGTGTGAGTCCATTTCGTCAAACCAACGCAACAGGT
## 7 7 1 dBr_06208_Jan07 CAGTCTAAGTTTTCGGATTACCATTAGAAATTGATG
## 8 8 1 dBr_39317_Jan07 CTTTTTAAAGACCTAGGAATCATTGCATTCTTATTG
## 9 9 1 dBr_06987_Jan07 CAGCTACGGAAGAGTAAAGGTTGTCGAAGCCGTGCA
## 10 10 1 dBr_05074_Jan07 GCTTCGAACGTGGGCGATGGAACAAGTCGCAGTCAT
## 15 15 1 dBr_16182_Jan07 CGCCCGTGGTAACAGTTACGAAAATTACATGCGAAA
All of the slots described above can be modified or updated. For example, we can add an additional (redundant) rule to the probeFilter
list of the example PBMDesign.
probeFilter(pbm_8x60k_v1) <- c(probeFilter(pbm_8x60k_v1),
Sequence = function(x) { x != "#N/A" })
We can also easily change the trimming boundaries.
## class: PBMDesign
## design dim: 41944 4
## design colnames(4): Column Row probeID Sequence
## probeFilter names(0):
## probeTrim: 1 50
A new PBMDesign object can be created by passing a data.frame of probe designs to the upbm::PBMDesign
constructor. As stated above, at minimum, the data.frame must contain two columns, "probeID"
and "Sequence"
.
new_design <- data.frame(probeID = LETTERS[1:3],
Sequence = rep("AAA", 3))
pbmDesign <- PBMDesign(new_design)
pbmDesign
## class: PBMDesign
## design dim: 3 2
## design colnames(2): probeID Sequence
## probeFilter names(0):
## probeTrim:
The probeFilter
and probeTrim
slots can also be specified directly to the upbm::PBMDesign
constructor or modified after constructing the PBMDesign object, as shown above.
Probe-level PBM data is stored using the PBMExperiment class, an extension of the SummarizedExperiment class with additional slots to support working with PBMDesign objects.
An example PBMExperiment object containing data from a series of HOXC9 experiments is included in the upbmData package. We will only look at the PBMExperiment containing Alexa488 scans. However, the probe-level data from Cy3 scans are similarly stored and included as a separate PBMExperiment object in the package.
data(hoxc9alexa, package = "upbmData")
hoxc9alexa
## class: PBMExperiment
## dim: 62976 30
## metadata(0):
## assays(2): fore back
## rownames: NULL
## rowData names(4): Column Row probeID Sequence
## colnames(30): s1 s2 ... s35 s36
## colData names(10): date version ... condition id_idx
## probeCols(4): Column Row probeID Sequence
## probeFilter names(1): probeID
## probeTrim: 1 36
A SummarizedExperiment object is made up of three parts: 1. assays (primary data, e.g. probe intensities), 2. column metadata, and 3. row metadata. Here, rows correspond to probes and columns correspond to scans. For more details on the SummarizedExperiment class, see the corresponding package vignette.
In addition to these three components, PBMExperiment objects also include probeFilter
, probeTrim
and probeCols
slots. The probeFilter
and probeTrim
slots of the PBMExperiment class are identical to the slots described above as part of the PBMDesign class. The final probeCols
slot is a character vector specifying the columns in the row metadata corresponding to the design
of a PBMDesign object. Rather than storing the design
as a separate slot in PBMExperiment objects, the design is kept in the row metadata and the corresponding columns are recorded in probeCols
.
As with PBMDesign objects, these slots can be both accessed and modified. The hoxc9alexa
object was constructed with the pbm_8x60k_v1
probe design introduced above. We can see that the probeTrim
and probeFilter
values match what we saw above.
probeFilter(hoxc9alexa)
## $probeID
## function(x) { grepl("^dBr", x) }
## <bytecode: 0x7fc3f0784878>
probeTrim(hoxc9alexa)
## [1] 1 36
Additionally, we can see that the probeCols
columns of the row metadata match the design
slot of pbm_8x60k_v1
.
probeCols(hoxc9alexa)
## [1] "Column" "Row" "probeID" "Sequence"
## DataFrame with 6 rows and 4 columns
## Column Row probeID
## <integer> <integer> <character>
## 1 1 1 GE_BrightCorner
## 2 2 1 GE_BrightCorner
## 3 3 1 DarkCorner
## 4 4 1 DarkCorner
## 5 5 1 Cbf_5b_Hi_n359_o2_r1
## 6 6 1 dBr_14334_Jan07
## Sequence
## <character>
## 1 #N/A
## 2 #N/A
## 3 #N/A
## 4 #N/A
## 5 GAAGCTATTCAGATCGACGTGACATGTATATAGTAGGTCTGTGTTCCGTTGTCCGTGCTG
## 6 GGTGTGAGTCCATTTCGTCAAACCAACGCAACAGGTGTCTGTGTTCCGTTGTCCGTGCTG
Finally, the corresponding PBMDesign object of a PBMExperiment can be extracted by passing the PBMExperiment object to upbm::PBMDesign
.
PBMDesign(hoxc9alexa)
## class: PBMDesign
## design dim: 62976 4
## design colnames(4): Column Row probeID Sequence
## probeFilter names(1): probeID
## probeTrim: 1 36
We can check that this is identical to the PBMDesign from above.
## [1] FALSE
The PBMDesign associated values can be quickly modified or added using the associated setter function.
PBMDesign(hoxc9alexa) <- pbm_8x60k_v1
This can be useful when the design information needs to be added after the PBMExperiment object has been created. However, this should be performed with caution as all prior design associated values will be overwritten.
As with PBMDesign, calls to upbm::pbmFilterProbes
and upbm::pbmTrimProbes
can be used to filter and trim probes in the PBMExperiment object.
pbmFilterProbes(hoxc9alexa)
## class: PBMExperiment
## dim: 41944 30
## metadata(0):
## assays(2): fore back
## rownames: NULL
## rowData names(4): Column Row probeID Sequence
## colnames(30): s1 s2 ... s35 s36
## colData names(10): date version ... condition id_idx
## probeCols(4): Column Row probeID Sequence
## probeFilter names(0):
## probeTrim: 1 36
It is also important to note that whenever broom::tidy
is called to convert assay data to a tidy format, upbm::pbmFilterProbes
and upbm::pbmTrimProbes
run unless process = FALSE
is specified.
## [1] 41944
## [1] 62976
The easiest way to create a new PBMExperiment object is by reading scan data from GPR files using upbm::gpr2PBMExperiment
. Given a table of GPR file metadata, including paths to the files, the function will return the parsed GPR data as a PBMExperiment object.
In the case of the example dataset, the table used to read the GPR files is also included in the upbmData package.
## # A tibble: 5 x 11
## gpr date version id reuse type pmt idx target condition
## <chr> <dbl> <chr> <dbl> <dbl> <chr> <dbl> <dbl> <chr> <chr>
## 1 ./PB… 170606 v14 226 1 Alexa 400 2 HOXC9 HOXC9-REF
## 2 ./PB… 170606 v14 226 1 Alexa 400 3 HOXC9 HOXC9-R1…
## 3 ./PB… 170606 v14 226 1 Alexa 400 6 HOXC9 HOXC9-K1…
## 4 ./PB… 170606 v14 226 1 Alexa 450 2 HOXC9 HOXC9-REF
## 5 ./PB… 170606 v14 226 1 Alexa 450 3 HOXC9 HOXC9-R1…
## # … with 1 more variable: id_idx <chr>
At a minimum, the full path to each GPR file must be specified in a column named gpr
. The data.frame should also include any relevant metadata about the scan and sample (e.g. scan parameters or properties of the assayed protein).
Both Alexa488 and Cy3 scans for the example dataset in the upbmData package are provided in hoxc9table
. We will subset to just the Alexa488 scans.
hoxc9table_alexa <- dplyr::filter(hoxc9table, type == "Alexa")
In addition to the sample table the corresponding PBMDesign should also be specified when calling upbm::gpr2PBMExperiment
. While not run here (since raw GPR files are not included with the package), the following call was made to generate the PBMExperiment object included in the upbmData package.
hoxc9alexa <- gpr2PBMExperiment(scans = hoxc9table_alexa,
probes = pbm_8x60k_v1)
We can see that metadata included in the sample table are stored in the column metadata of the returned PBMExperiment object.
## DataFrame with 5 rows and 10 columns
## date version id reuse type pmt
## <numeric> <character> <numeric> <numeric> <character> <numeric>
## s1 170606 v14 226 1 Alexa 400
## s2 170606 v14 226 1 Alexa 400
## s3 170606 v14 226 1 Alexa 400
## s4 170606 v14 226 1 Alexa 450
## s5 170606 v14 226 1 Alexa 450
## idx target condition id_idx
## <numeric> <character> <character> <character>
## s1 2 HOXC9 HOXC9-REF 226_i2
## s2 3 HOXC9 HOXC9-R193K 226_i3
## s3 6 HOXC9 HOXC9-K195R 226_i6
## s4 2 HOXC9 HOXC9-REF 226_i2
## s5 3 HOXC9 HOXC9-R193K 226_i3
For PBMExperiment objects created from GPR files, probe-level foreground intensities are stored in the "fore"
assay. By default, (but optionally) a second assay, "back"
(background) is also read in from the GPRs with the background intensities for each probe and sample.
## DataFrame with 5 rows and 5 columns
## s1 s2 s3 s4 s5
## <numeric> <numeric> <numeric> <numeric> <numeric>
## 1 4446 2191 2209 9780 4681
## 2 4057 1978 2041 8967 4297
## 3 5326 3443 4059 11924 7476
## 4 5686 3410 4012 12573 7458
## 5 4401 3444 2353 9943 7499
## DataFrame with 5 rows and 5 columns
## s1 s2 s3 s4 s5
## <numeric> <numeric> <numeric> <numeric> <numeric>
## 1 197 76 65 405 132
## 2 169 76 58 324 134
## 3 161 76 63 324 136
## 4 172 83 85 354 141
## 5 210 100 92 430 177
Alternatively, a new PBMExperiment object can be constructed from existing SummarizedExperiment and PBMDesign objects. To demonstrate this, we can coerce hoxc9alexa
to a SummarizedExperiment object, stripping away all PBMExperiment-specific information.
## class: SummarizedExperiment
## dim: 62976 30
## metadata(0):
## assays(2): fore back
## rownames: NULL
## rowData names(4): Column Row probeID Sequence
## colnames(30): s1 s2 ... s35 s36
## colData names(10): date version ... condition id_idx
Notice that the probe annotations are still kept in the row metadata. We can additionally remove this if we would like.
## class: SummarizedExperiment
## dim: 62976 30
## metadata(0):
## assays(2): fore back
## rownames: NULL
## rowData names(0):
## colnames(30): s1 s2 ... s35 s36
## colData names(10): date version ... condition id_idx
With the SummarizedExperiment object, we can now create a new PBMExperiment object using the PBMExperiment(..)
constructor. As with gpr2PBMExperiment(..)
, a PBMDesign can be specified as an optional parameter.
PBMExperiment(se)
## class: PBMExperiment
## dim: 62976 30
## metadata(0):
## assays(2): fore back
## rownames: NULL
## rowData names(2): Sequence probeID
## colnames(30): s1 s2 ... s35 s36
## colData names(10): date version ... condition id_idx
## probeCols(2): Sequence probeID
## probeFilter names(0):
## probeTrim:
PBMExperiment(se, pbmDesign = pbm_8x60k_v1)
## class: PBMExperiment
## dim: 62976 30
## metadata(0):
## assays(2): fore back
## rownames: NULL
## rowData names(4): Column Row probeID Sequence
## colnames(30): s1 s2 ... s35 s36
## colData names(10): date version ... condition id_idx
## probeCols(4): Column Row probeID Sequence
## probeFilter names(2): probeID Sequence
## probeTrim: 1 36


2 days ago, I read a report here on Erowid titled something like '
Alternate Thujone Ingestion' by LiHouLong. Having 4 oz. of 'premium' wormwood leaves sitting around (that I ordered from a reputable internet supplier for the purposes of making some home-distilled absinthe), I decided that I could spare an ounce for the sake of science. I pretty much used the same preparation that LiHouLong used in his report but mine was simpler, I think. Here's what I did:
1. I blended 1 oz. dry wormwood leaves until totally powdered.
2. I added just enough reagent-grade ethanol to the powder to cover it completely. I continued blending the powder and alcohol for about 3 min.
3. I poured the mushy mess through a cheese cloth (I had to keep adding minute quantities of ethanol to the gunk stuck to the blender in order to get it all out). After filtering the funky-gunk through the cheese cloth, I folded the cheese cloth a few times (as to create more layers and better filtration) and filtered again.
4. After this filtering process, I was left with a VERY DARK green and murky liquid. Even though there were some extremely small plant particles suspended in the liquid, I decided that this was good enough.
5. I poured the liquid into a flat pan and evaporated the liquid over the period of 2 hours on an electric hot plate in a somewhat well ventilated area.
6. When the alcohol evaporated, I was left with some nasty-looking stuff! I tried to use a razor-blade to scrape it up but DAMN--it was too thick! I used a putty-knife and, believe it or not, it worked great! I had about two grams of this stuff. I did my best and rolled the greenish-black 'tar' into 2 equal balls, weighing approximately 1 gram each.
That was last night.
First thing this morning, my curiousity got the best of me so I put one of the 1 gram balls of 'the Thuje' into my handy *heh heh* 'tobacco' pipe and blazed away, surprised at how pleasant and easy to handle the smoke actually was. After smoking the ENTIRE ball, I said 'screw this' and went about my morning chores, thinking that I had wasted my time. No buzz, no nothing.
Then about 20 minutes later *BAM* I was high as hell. Now, when I say 'high', I don't mean like 'reefer high' or anything like that. It was totally different and totally cool. First of all, I felt energized--and believe me--I don't usually feel so energized that early in the morning. At the time, I didn't think that I was very cognitively impaired/altered but looking back, I think that I must've been because I kept thinking over and over the phrase 'HOLY CRAP'.
I realize that this sounds totally crazy but I think that I was just surprised that the Thuje actually worked. About one hour into the experience, I had to start geting ready for work although I was still seriously messed up. In fact, I think that I still might have been getting even higher at that point. I went into my bathroom, filled the sink with water, covered my face with shave gel and proceded to shave as I do on most mornings. However, as I looked in the mirror, the image staring back at me would look more and more artificial the longer that I stared at it. It was weird because my reflection seemed to get clearer and clearer with each passing second until it was ULTRA-CLEAR. The concept is difficult to describe but soon I started laughing and I literally could not stop. I just kept looking at my reflection and continued laughing and trying to shave at the same time (cutting myself more than once in the process, of course).
 Anyway, the effects continued, even after I had gone to work. Playing it cool at work was no big deal for the most part (except when I thought about looking in the mirror which generated some chuckles that were difficult to hold back at times).
All in all, the experience lasted about 6 hours from approximately 1 gram of the Thuje. There was no harsh comedown or any after-effects that I could perceive. Right now, it is close to midnight on the day of this experience and I am totally baseline. Will I try the Thuje again? Hell yeah! I've still got about 1 gram left and can't wait to let a few friends in on this secret. Then again, smoking the Thuje may be totally dangerous for all I know so try it at your own risk. Thanks for reading this long report and a BIG thanks goes out to LiHouLong for reporting his experiment! By the way, VOTE LIBERTARIAN--if you value freedom, that is!
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Education
Ph.D. in Computer Science and Engineering
The Ohio State University
Columbus, OH, USA
M.E. in Computer Science and Engineering
Chung-Ang University
Seoul, South Korea
B.E. in Computer Science and Engineering
Chung-Ang University
Seoul, South Korea