orionsensor.gui.sensors package¶
Submodules¶
orionsensor.gui.sensors.gyroscope module¶
-
class
orionsensor.gui.sensors.gyroscope.
Gyroscope
(*args, **kwargs)[source]¶ Bases:
gui.sensors.sensor.Sensor
Gyroscope sensor view
-
colors
¶ Property that represents a list.
Parameters: - defaultvalue: list, defaults to []
Specifies the default value of the property.
Warning
When assigning a list to a
ListProperty
, the list stored in the property is a shallow copy of the list and not the original list. This can be demonstrated with the following example:>>> class MyWidget(Widget): >>> my_list = ListProperty([]) >>> widget = MyWidget() >>> my_list = [1, 5, {'hi': 'hello'}] >>> widget.my_list = my_list >>> print(my_list is widget.my_list) False >>> my_list.append(10) >>> print(my_list, widget.my_list) [1, 5, {'hi': 'hello'}, 10] [1, 5, {'hi': 'hello'}]
However, changes to nested levels will affect the property as well, since the property uses a shallow copy of my_list.
>>> my_list[2]['hi'] = 'bye' >>> print(my_list, widget.my_list) [1, 5, {'hi': 'bye'}, 10] [1, 5, {'hi': 'bye'}]
-
line_width
¶ Property that represents a numeric value.
Parameters: - defaultvalue: int or float, defaults to 0
Specifies the default value of the property.
>>> wid = Widget() >>> wid.x = 42 >>> print(wid.x) 42 >>> wid.x = "plop" Traceback (most recent call last): File "<stdin>", line 1, in <module> File "properties.pyx", line 93, in kivy.properties.Property.__set__ File "properties.pyx", line 111, in kivy.properties.Property.set File "properties.pyx", line 159, in kivy.properties.NumericProperty.check ValueError: NumericProperty accept only int/float
Changed in version 1.4.1: NumericProperty can now accept custom text and tuple value to indicate a type, like “in”, “pt”, “px”, “cm”, “mm”, in the format: ‘10pt’ or (10, ‘pt’).
-
max
¶ Property that represents a numeric value.
Parameters: - defaultvalue: int or float, defaults to 0
Specifies the default value of the property.
>>> wid = Widget() >>> wid.x = 42 >>> print(wid.x) 42 >>> wid.x = "plop" Traceback (most recent call last): File "<stdin>", line 1, in <module> File "properties.pyx", line 93, in kivy.properties.Property.__set__ File "properties.pyx", line 111, in kivy.properties.Property.set File "properties.pyx", line 159, in kivy.properties.NumericProperty.check ValueError: NumericProperty accept only int/float
Changed in version 1.4.1: NumericProperty can now accept custom text and tuple value to indicate a type, like “in”, “pt”, “px”, “cm”, “mm”, in the format: ‘10pt’ or (10, ‘pt’).
-
min
¶ Property that represents a numeric value.
Parameters: - defaultvalue: int or float, defaults to 0
Specifies the default value of the property.
>>> wid = Widget() >>> wid.x = 42 >>> print(wid.x) 42 >>> wid.x = "plop" Traceback (most recent call last): File "<stdin>", line 1, in <module> File "properties.pyx", line 93, in kivy.properties.Property.__set__ File "properties.pyx", line 111, in kivy.properties.Property.set File "properties.pyx", line 159, in kivy.properties.NumericProperty.check ValueError: NumericProperty accept only int/float
Changed in version 1.4.1: NumericProperty can now accept custom text and tuple value to indicate a type, like “in”, “pt”, “px”, “cm”, “mm”, in the format: ‘10pt’ or (10, ‘pt’).
-
points
¶ Property that represents a list.
Parameters: - defaultvalue: list, defaults to []
Specifies the default value of the property.
Warning
When assigning a list to a
ListProperty
, the list stored in the property is a shallow copy of the list and not the original list. This can be demonstrated with the following example:>>> class MyWidget(Widget): >>> my_list = ListProperty([]) >>> widget = MyWidget() >>> my_list = [1, 5, {'hi': 'hello'}] >>> widget.my_list = my_list >>> print(my_list is widget.my_list) False >>> my_list.append(10) >>> print(my_list, widget.my_list) [1, 5, {'hi': 'hello'}, 10] [1, 5, {'hi': 'hello'}]
However, changes to nested levels will affect the property as well, since the property uses a shallow copy of my_list.
>>> my_list[2]['hi'] = 'bye' >>> print(my_list, widget.my_list) [1, 5, {'hi': 'bye'}, 10] [1, 5, {'hi': 'bye'}]
-
reading
¶ Property that represents a list.
Parameters: - defaultvalue: list, defaults to []
Specifies the default value of the property.
Warning
When assigning a list to a
ListProperty
, the list stored in the property is a shallow copy of the list and not the original list. This can be demonstrated with the following example:>>> class MyWidget(Widget): >>> my_list = ListProperty([]) >>> widget = MyWidget() >>> my_list = [1, 5, {'hi': 'hello'}] >>> widget.my_list = my_list >>> print(my_list is widget.my_list) False >>> my_list.append(10) >>> print(my_list, widget.my_list) [1, 5, {'hi': 'hello'}, 10] [1, 5, {'hi': 'hello'}]
However, changes to nested levels will affect the property as well, since the property uses a shallow copy of my_list.
>>> my_list[2]['hi'] = 'bye' >>> print(my_list, widget.my_list) [1, 5, {'hi': 'bye'}, 10] [1, 5, {'hi': 'bye'}]
-
reading_real
¶ Property that represents a list.
Parameters: - defaultvalue: list, defaults to []
Specifies the default value of the property.
Warning
When assigning a list to a
ListProperty
, the list stored in the property is a shallow copy of the list and not the original list. This can be demonstrated with the following example:>>> class MyWidget(Widget): >>> my_list = ListProperty([]) >>> widget = MyWidget() >>> my_list = [1, 5, {'hi': 'hello'}] >>> widget.my_list = my_list >>> print(my_list is widget.my_list) False >>> my_list.append(10) >>> print(my_list, widget.my_list) [1, 5, {'hi': 'hello'}, 10] [1, 5, {'hi': 'hello'}]
However, changes to nested levels will affect the property as well, since the property uses a shallow copy of my_list.
>>> my_list[2]['hi'] = 'bye' >>> print(my_list, widget.my_list) [1, 5, {'hi': 'bye'}, 10] [1, 5, {'hi': 'bye'}]
-
orionsensor.gui.sensors.potentiometer module¶
-
class
orionsensor.gui.sensors.potentiometer.
Potentiometer
(*args, **kwargs)[source]¶ Bases:
gui.sensors.sensor.Sensor
Potentiometer sensor view
-
max
¶ Property that represents a numeric value.
Parameters: - defaultvalue: int or float, defaults to 0
Specifies the default value of the property.
>>> wid = Widget() >>> wid.x = 42 >>> print(wid.x) 42 >>> wid.x = "plop" Traceback (most recent call last): File "<stdin>", line 1, in <module> File "properties.pyx", line 93, in kivy.properties.Property.__set__ File "properties.pyx", line 111, in kivy.properties.Property.set File "properties.pyx", line 159, in kivy.properties.NumericProperty.check ValueError: NumericProperty accept only int/float
Changed in version 1.4.1: NumericProperty can now accept custom text and tuple value to indicate a type, like “in”, “pt”, “px”, “cm”, “mm”, in the format: ‘10pt’ or (10, ‘pt’).
-
min
¶ Property that represents a numeric value.
Parameters: - defaultvalue: int or float, defaults to 0
Specifies the default value of the property.
>>> wid = Widget() >>> wid.x = 42 >>> print(wid.x) 42 >>> wid.x = "plop" Traceback (most recent call last): File "<stdin>", line 1, in <module> File "properties.pyx", line 93, in kivy.properties.Property.__set__ File "properties.pyx", line 111, in kivy.properties.Property.set File "properties.pyx", line 159, in kivy.properties.NumericProperty.check ValueError: NumericProperty accept only int/float
Changed in version 1.4.1: NumericProperty can now accept custom text and tuple value to indicate a type, like “in”, “pt”, “px”, “cm”, “mm”, in the format: ‘10pt’ or (10, ‘pt’).
-
orionsensor.gui.sensors.proximitysensor module¶
-
class
orionsensor.gui.sensors.proximitysensor.
ProximitySensor
(*args, **kwargs)[source]¶ Bases:
gui.sensors.sensor.Sensor
Proximity sensor view
-
max
¶ Property that represents a numeric value.
Parameters: - defaultvalue: int or float, defaults to 0
Specifies the default value of the property.
>>> wid = Widget() >>> wid.x = 42 >>> print(wid.x) 42 >>> wid.x = "plop" Traceback (most recent call last): File "<stdin>", line 1, in <module> File "properties.pyx", line 93, in kivy.properties.Property.__set__ File "properties.pyx", line 111, in kivy.properties.Property.set File "properties.pyx", line 159, in kivy.properties.NumericProperty.check ValueError: NumericProperty accept only int/float
Changed in version 1.4.1: NumericProperty can now accept custom text and tuple value to indicate a type, like “in”, “pt”, “px”, “cm”, “mm”, in the format: ‘10pt’ or (10, ‘pt’).
-
min
¶ Property that represents a numeric value.
Parameters: - defaultvalue: int or float, defaults to 0
Specifies the default value of the property.
>>> wid = Widget() >>> wid.x = 42 >>> print(wid.x) 42 >>> wid.x = "plop" Traceback (most recent call last): File "<stdin>", line 1, in <module> File "properties.pyx", line 93, in kivy.properties.Property.__set__ File "properties.pyx", line 111, in kivy.properties.Property.set File "properties.pyx", line 159, in kivy.properties.NumericProperty.check ValueError: NumericProperty accept only int/float
Changed in version 1.4.1: NumericProperty can now accept custom text and tuple value to indicate a type, like “in”, “pt”, “px”, “cm”, “mm”, in the format: ‘10pt’ or (10, ‘pt’).
-
orionsensor.gui.sensors.sensor module¶
-
class
orionsensor.gui.sensors.sensor.
Sensor
(*args, **kwargs)[source]¶ Bases:
kivy.uix.floatlayout.FloatLayout
Base class for sensor views
-
color
¶ Property that represents a list.
Parameters: - defaultvalue: list, defaults to []
Specifies the default value of the property.
Warning
When assigning a list to a
ListProperty
, the list stored in the property is a shallow copy of the list and not the original list. This can be demonstrated with the following example:>>> class MyWidget(Widget): >>> my_list = ListProperty([]) >>> widget = MyWidget() >>> my_list = [1, 5, {'hi': 'hello'}] >>> widget.my_list = my_list >>> print(my_list is widget.my_list) False >>> my_list.append(10) >>> print(my_list, widget.my_list) [1, 5, {'hi': 'hello'}, 10] [1, 5, {'hi': 'hello'}]
However, changes to nested levels will affect the property as well, since the property uses a shallow copy of my_list.
>>> my_list[2]['hi'] = 'bye' >>> print(my_list, widget.my_list) [1, 5, {'hi': 'bye'}, 10] [1, 5, {'hi': 'bye'}]
-
reading
¶ Create a property with a custom getter and setter.
If you don’t find a Property class that fits to your needs, you can make your own by creating custom Python getter and setter methods.
Example from kivy/uix/widget.py:
def get_right(self): return self.x + self.width def set_right(self, value): self.x = value - self.width right = AliasProperty(get_right, set_right, bind=['x', 'width'])
Parameters: - getter: function
Function to use as a property getter
- setter: function
Function to use as a property setter. Properties listening to the alias property won’t be updated when the property is set (e.g. right = 10), unless the setter returns True.
- bind: list/tuple
Properties to observe for changes, as property name strings
- cache: boolean
If True, the value will be cached, until one of the binded elements will changes
- rebind: bool, defaults to False
See
ObjectProperty
for details.
Changed in version 1.9.0: rebind has been introduced.
Changed in version 1.4.0: Parameter cache added.
-
reading_real
¶ Create a property with a custom getter and setter.
If you don’t find a Property class that fits to your needs, you can make your own by creating custom Python getter and setter methods.
Example from kivy/uix/widget.py:
def get_right(self): return self.x + self.width def set_right(self, value): self.x = value - self.width right = AliasProperty(get_right, set_right, bind=['x', 'width'])
Parameters: - getter: function
Function to use as a property getter
- setter: function
Function to use as a property setter. Properties listening to the alias property won’t be updated when the property is set (e.g. right = 10), unless the setter returns True.
- bind: list/tuple
Properties to observe for changes, as property name strings
- cache: boolean
If True, the value will be cached, until one of the binded elements will changes
- rebind: bool, defaults to False
See
ObjectProperty
for details.
Changed in version 1.9.0: rebind has been introduced.
Changed in version 1.4.0: Parameter cache added.
-
set_provider
(*args)[source]¶ Uses reflection to get correct Provider class for a Sensor, then schedules reading update
-
text
¶ Property that represents a string value.
Parameters: - defaultvalue: string, defaults to ‘’
Specifies the default value of the property.
-


A programming language for API design and enforcement.
Above all, working software needs code to function properly. Rhovas is designed with correctness in mind to minimize issues, ensure edge cases and errors are properly handled, and finally provide reasonable guarantees of correctness.
Most languages (and even development processes) rarely consider how software evolves over time. On top of verifying correctness, Rhovas also helps maintain compatibility and encourages the use of good software design practices.
The majority of development is reading code, not writing code - especially when debugging. By ensuring consistency with code style and API design, Rhovas makes it easier to read, share, and use code in projects which aids maintainability.


Figure 1. User guide for application of Express to investigation eye gene expression. 1. User selects parameters, 2. Enters query gene or chromosomal region, 3. Selects view options, 3a. with heatmap view can visualize gene expression in various developmental stages, 3b. with Browser view can visualizes different transcripts, 4. Uses magnification slider to controls chromosomal range, 5. Can use the Export dropdown menu to download heatmap view, raw or normalized gene expression data or browser view.
Figure 2. Express-based analysis of gene expression for transcription factors functional in lens development. Express re-captures the general expression trends in developing lens tissue for various transcription factors. For example, Pax6, Sox2, Mab21l1, Foxe3, Pitx3 and Mafg exhibit high expression in early (embryonic) lens development stages compared to late (postnatal) stages. In contrast, Maf, Prox1, and Sox1 expression is lower in early lens developmental stages and higher in later stages.
Figure 3. Express-based analysis of gene expression for Crystallin genes in lens development. Express shows increased expression of Crystallin genes in postnatal stages compared to embryonic stages in developing lens tissue.
Figure 4. Express-based analysis of gene expression for non-crystallin cataract-linked genes in lens development. Express shows high expression of various non-crystallin genes that are linked to human congenital/pediatric cataract. For example, Chmp4b, Gemin4, Pxdn, Vim, Agk, Fyco1 and Wfs1 are expressed highly in early embryonic stages, while Epha2, Gja3, Gja8, Lim2, Mip, Bfsp1 and Bfsp2 exhibit high expression in late embryonic and postnatal stages.
Please cite Express in your publications as:
Budak, G., Dash, S., Srivastava, R., Lachke, S. A., & Janga, S. C. (2018). Express: a database of transcriptome profiles encompassing known and novel transcripts across multiple development stages in eye tissues. Experimental eye research, 168, 57-68.


Blueprint Seller Luka:
Ah, you again. I have decoded the password on the metal plate you gave me. I wrote it down here...somewhere...ah, here it is! Do you want it?
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--- title: Papersweep keywords: fastai sidebar: home_sidebar summary: "Combining papermill and wandb sweeps for frictionless experiments with notebooks." description: "Combining papermill and wandb sweeps for frictionless experiments with notebooks." nb_path: "index.ipynb" ---
I often find myself coding a machine learning experiment in a Jupyter Notebook, using wandb to visualize and track the results of the runs. When the experiment is drafted, I always have questions such as: How will the performance be affected by the parameter a
? What if I change the number of items of the dataset, or change the dataset completely?
wandb sweeps are a great tool to solve these questions. However, sweeping requires that you define a specific training function for the sweep, which I find redundant, specially when the code for training is already in the Jupyter Notebook. Furthermore, if I make some changes in the original notebook, I have to be sure that I change the sweep function too.
This library just provides a single command, papersweep
, which uses the library papermill to execute a notebook as the function of a wandb sweep. The only thing that has to be changed in the notebook is the way the config parameters are declared in wandb.config
.
As an example, if a
is a parameter in your notebook declared as:
wandb.config.a = 3
Just changing that line to:
wandb.config.a = ifnone(wandb.config.get('a'), 3)
will use the default value 3
in case the notebook is executed as a standalone run (i.e, without a sweep), and in case the notebook is executed as a sweep function, it will use the value injected from the sweep configuration. This provides a frictionless way of using your Jupyter Notebooks both for single runs and sweep functions.
pip install papersweep
--help
provides command help:
input_nb
contains a path to the notebook with the experiment you want to use as function of the sweep.
sweep_config
is a path to a YAML file with the configuration of the sweep. An example is given in examples/sweep_config.yaml
. More information aboyt sweep configurations in the official docs.
pm_params
is a YAML file with extra configuration for the notebook execution aside from the sweep parameters. Those parameters will be injected in the notebook by papermill
, so they need to be placed in one cell tagged as parameters
(See the documentation of papermill
to see how to tag a cell in a Jupyter Notebook).
sweep_id
allows to reuse an already existing sweep instead of creating a new one.
The notebook _example_tsai.ipynb
trains a time series classifier using deep learning with the library tsai
(https://github.com/timeseriesAI/tsai). The dataset (dsid
) and the deep learning architecture (arch
) are part of the wandb.config
configuration parameters.
The file examples/sweep_config.yaml
gives grid-like experiment in which multiple datasets and architectures are tried, looking for the combination that achieves better accuracy
Running the following commandin a terminal:
papersweep --input_nb ./_example_tsai.ipynb --sweep_config ./examples/sweep_config.yaml ---entity vrodriguezf --project papersweep
will run the notebook ./example_tsai.ipynb
once for every iteration of the sweep, and log the results in a dashboard that you can interact and play with.


array sqlite_array_query ( resource $dbhandle , string $query [, int $result_type = SQLITE_BOTH [, bool $decode_binary = true ]] )
array sqlite_array_query ( string $query , resource $dbhandle [, int $result_type = SQLITE_BOTH [, bool $decode_binary = true ]] )
Object oriented style (method): array SQLiteDatabase::arrayQuery ( string $query [, int $result_type = SQLITE_BOTH [, bool $decode_binary = true ]] )
sqlite_array_query() executes the given query and returns an array of the entire result set. It is similar to calling sqlite_query() and then sqlite_fetch_array() for each row in the result set. sqlite_array_query() is significantly faster than the aforementioned. Tip sqlite_array_query() is best suited to queries returning 45 rows or less. If you have more data than that, it is recommended that you write your scripts to use sqlite_unbuffered_query() instead for more optimal performance.
Returns an array of the entire result set; FALSE otherwise. The column names returned by SQLITE_ASSOC and SQLITE_BOTH will be case-folded according to the value of the sqlite.assoc_case configuration option.


Coupon associated with this cart
List of modifiable database fields
List of products in this cart
Database table to use
User associated with this cart
Inherited from Model
Model::$data
Model::$db
Model::$filter
Model::$id
Add product to this cart
Delete an item from this cart
Prepare field values for insert queries
Converts linux timestamps to MySQL time value
Prepare field names for select queries
Converts MySQL time values to linux timestamp
Test if a product exists in this cart
Apply coupon discount if coupon exists
Load all products in this cart
Load user data of cart owner
Set updated time to now before saving
Set the value of the named field, reloading coupon if necessary
Set the quantity of a cart item
Inherited From Model
Model::__construct()
Model::delete()
Model::filterInsert()
Model::filterSelect()
Model::filterUpdate()
Model::get()
Model::getAll()
Model::getCollection()
Model::getCount()
Model::id()
Model::load()
Model::parseFilters()
Model::save()
Model::set()
Model::setFilter()
Model::setMultiple()
Documentation generated on Mon, 14 Nov 2011 11:54:45 -0800 by phpDocumentor 1.4.3


Carry on Camping Written by Graeme Huggan Copyright 1998
Carry on Camping is probably the most memorable Carry on film due to some unforgettable scenes and some classic double-entendres. Sid Boggle and his mate Bernie (Sid James and Bernard Bresslaw) lure their girlfriends Joan Fussey and her friend Anthea (Joan Sims and Dilys Laye) to what they believe to be a nudist camp. When they get there, they find a half-empty campsite, a campsite owner Mr. Fiddler (Peter Butterworth) who is only interested in making money and looking after his chickens, and Joan and Anthea insist they sleep in separate tents. Meanwhile, Dr.Soaper (Kenneth Williams) and the girls from Chayste Finishing School are on a school trip via Stonehenge to the campsite. When they arrive at the campsite, Sid and Bernie take a fancy to two of the girls, Barbara (Barbara Windsor) and Fanny, but are thwarted in their attempts to get to know them by Joan and Anthea, Dr. Soaper and his companion, the Matron (Hattie Jacques). Other holiday-makers include a businessman Peter Potter (Terry Scott) and his 'laughing like a hyena' wife Harriet Potter, and their new-found companion, the impossible Charlie Muggins (Charles Hawtrey). The main storyline is about Sid and Bernie's attempts to arrange a rendezvous with Barbara and Fanny, but other story threads include the undeliberate attempt by Charlie Muggins to split up Peter and Harriet, the example of Mr.Fiddler living up to his name, and the continuation of the long-running on/off romance between Kenneth Williams' character and Hattie Jacques' 'Matron'. There are many memorable scenes, such as, of course, the famous scene where Babs "loses" her bra, the opening scene with Charlie Muggins in a tent with the shop assistant, and the various scenes between Matron and Dr.Soaper. Memorable quotes include:- Dr.Soaper- "No, no, Barbara. Tent up first, bunk up later!" "Its getting it to stay up, that's what counts!"  The major parts played by Sid, Bernie, Joan and Dilys are well-performed but are undistinguished, as is Terry Scott's portayal of Peter. The minor part of Mr.Fiddler is a 'tour-de-force' for Peter Butterworth. Even though the film suffers from a wafer-thin plot and seems to have no ending, it is still a great piece of British comedy entertainment. The actors are in very high spirits (even though it was filmed in November on a green-painted muddy field), the double-entendres come thick and fast, and the numerous memorable scenes make this movie a classic of the Carry On's. Well-worth watching.
My rating:- 5 out of 5 stars.
Written by Graeme Huggan.
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


Public Member Functions | |
| TestTopologyPortsConstruction (String linksText) | |
| OutputPort | getPort (int from, int to) |
Private Attributes | |
| Map< Pair< Integer, Integer >, OutputPort > | ports |
| ch.ethz.systems.netbench.testutility.TestTopologyPortsConstruction.TestTopologyPortsConstruction | ( | String | linksText | ) |
| OutputPort ch.ethz.systems.netbench.testutility.TestTopologyPortsConstruction.getPort | ( | int | from, |
| int | to | ||
| ) |
|
private |


Also Try: Best Thrill Spots in Dubai (Some are SCARY!)
This is Dubai’s world-renowned water destination. The names says it all! You stand up on a paddleboard and paddle to your destination. It’s quite an exercise and it offers some great views of Dubai as you paddle off the beaches or around the Burj al Arab. Guides and coaches are always available. Also Try: Top 10 Free Beaches in Dubai (Yes, FREE!)
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Dubai is studded with spots that support snorkeling into clear-blue waters. You can enjoy swimming deep in the water with all sorts of fish across the city. The most impressive experience, though, is at Atlantis the Palm. You get to take a dive into a Ambassador Lagoon and swim with 65,000 sea creatures, including a hammerhead sharkthat’s a true Dubai experience! It’s all completely safe. Guides and coaches are always available. Also Try: Best Water Parks in Dubai (6 is Shocking!)
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Of course, diving was going to be a part of this guide. Dubai has many amazing opportunities for diving and you can get up close with eels, squids, octopuses, puffer fish, and even a (completely safe) whale shark! There are great opportunities to explore waters in Musandam and Fujairah. Guides and coaches are always available.
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Get ready to fly! This is one of the most enjoyable things to do in Dubai and it brings on some spectacular views. You are connected to a sail which is attached to a speedboat. As the boat moves, you fly up in the air. This is a mix of relaxation and thrill; the boat speeds and you sail through the air, but quickly you are put at ease and begin to enjoy the amazing views of Dubai skyline. Guides and coaches are always available. Also Try: Dubai’s World Famous Car Exhibits (FREE!)
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Fly! Boarding! Dubai has welcomed this amazing phenomenon with open arms as this is an experience available at beaches across the emirate. Suit up into a water-jet propelled machine. Your feet are strapped to a board and your wrist are locked into the controls. After that you are in command of your flight! It’s easy to see why flyboarding is such a sensation in Dubai. Based on how much water you press out and how you direct yourself, you can fly in any direction at the speed you want.
Guides and coaches are always available.
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A globally popular spot, but spectacularly fun in Dubai! Kitesurfing involves you being settled on a surf board and massive kite is attached to you. The kite flows around with the wind and drives you at rapid motion. Things quickly get fast and furious with this sport! Guides and coaches are always available.
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Dubaing Score: 5/5
Dubai is a multicultural destination. The tradition of dragon boats is celebrated here each April in Dubai Festival City.  To participate, you’ll need to be part of a team, but everyone is welcome to spectate. If you’re travelling to Dubai in April, do give this a shot; it could be an awesome Dubai memory!
Wet Rating: 1/5
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Dubaing Score: 5/5
You don’t need to be a good diver for this; in fact you don’t even need to know how to swimyou walk through this underwater safari! Dubai’s Atlantis at the Palm offers you an amazing opportunity to walk at the bottom of massive water tank that contains sharks, rays, and thousands of colorful fish. It’s all extremely safe and you’re given a special helmet to wear as you stroll at the bottom of the tank. Guides and coaches are always available.
Wet Rating: 10/5
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Average Price: AED 275 for entry
Dubaing Score: 5/5
This is perhaps the most enjoyable water sport and it is also the easiest! Jet skis are the iconic symbol for water-filled, sunny, and fun vacation. Dubai is studded with spots that offer jet ski rentals so you can speed through the water and perhaps even race with your friends and/or family. Guides and coaches are always available. Also Try: Top Beach Clubs in Dubai
Wet Rating: 3/5
Wild Rating: 5/5
Average Price: AED 300 for 30 minutes
Dubaing Score: 4.5/5
A milder version of surfing, kneeboarding has gained popularity in recent years. The best part is that you don’t need to acquire the skills of balancing on a board, you can be seated upon your knees; hence the name kneeboarding. Speed through water on hydro-dynamic boards designed to give you an awesome time. Guides and coaches are always available.
Wet Rating: 5/5
Wild Rating: 4/5
Average Price: AED 150 per 15 mins
Dubaing Score: 4/5
The wind, a sailboard, and youit’s that simple! Jump on to a sailboard and tackle the wind and water on a thrilling experience as you and your sailboard challenge nature in Dubai. These aren’t motorized so winds command your pace; if you are new to this, you can stay closer to the shore and face light winds and a mild pace. Guides and coaches are always available.
Wet Rating: 5/5
Wild Rating: 5/5
Average Price: AED 150 per 30 mins
Dubaing Score: 4/5
This is a challenging water sport in Dubai. Your feet are strapped to a board and you hold on to a handle that is tied to a speedboat at a distance. The speedboat takes off and so do you! Get ready for a fast, wild, and fun ride as you spear through the water on your wakeboard. This is a global sensation that is only more fun at Dubai’s sandy and sunny beaches. Be ready for a lot of plunges into the water. Guides and coaches are always available.
Wet Rating: 5/5
Wild Rating: 5/5
Average Price: AED 150 per 15 mins
Dubaing Score: 4/5
This is a unique mix of surfing and wakeboarding in Dubai. You stand on a surfboard (your feet are not tied down) and you hold on to a handle attached to speedboat. The speedboat races on and you get a thrilling ride as you pierce through the water, twirling left and right as you desire. This truly lets you command the thrill and freedom of your movement. Guides and coaches are always available.
Wet Rating: 5/5
Wild Rating: 4/5
Average Price: AED 140 for 15 mins
Dubaing Score: 4/5
Waterskiing is one of the world’s most popular water leisure; Dubai’s tourism is no exception to this popularity. Your feet on a ski board and your hands on a handle attached to a speedboat. This thrill-ride will give you some awesome Dubai memories. Guides and coaches are always available.
Wet Rating: 4/5
Wild Rating: 5/5
Average Price: AED 140 for 15 minutes
Dubaing Score: 4/5
This is one of Dubai’s most novel water sports.  The inflatable bounces often and that only adds to the thrill and fun! Guides and coaches are always available.
Wet Rating: 2/5
Wild Rating: 6/5
Average Price: AED 300 for 20 minutes (rather expensive)
Dubaing Score: 3.5/5
This is an intensive exercise and extremely fun. Dubai offers many opportunities to kayak on its shores. The most impressive time is kayaking around he curves of the Palm Jumeirah. You can kayak away from the shore and settle for a beautiful dawn view of the Dubai skyline with friends, family, or that one special person. Guides and coaches are always available.
Wet Rating: 3/5
Wild Rating: 1/5
Average Price: AED 100 per hour; full day rentals start at AED 350
Dubaing Score: 3.5/5
Another novel water activity in Dubai! These resemble inflatable beds (or couches) with grips and can accompany up to 4 people at a time. Despite the name, most of them do not have a hole in the center. The fun begins when a speedboat propels the attached inflatables, giving you a fast-paced blast through the water dotted with sharp turns. Guides and coaches are always available.
Wet Rating: 4/5
Wild Rating: 3/5 (5 if you compete)
Average Price: AED 150 for 15 minutes
Dubaing Score: 3.5/5
Some of Dubai’s water thrills come up with unexpected names. This is great for large groups but parties of any number are welcome. You are seated on one of two banana-shaped inflatable tube, and both are attached to each other, forming a form of a raft. You grip on to the inflatable as a speedboat propels you through a sprint trough the water. Many Dubai beaches offer this activity. Guides and coaches are always available.
Wet Rating: 5/5
Wild Rating: 3/5
Average Price: AED 150 for 15 minutes
Dubaing Score: 3.5/5
There’s little wetness involved but things could get wild depending on what sort of fish bites your bait. Fishing can be dry, but your luck can make it quite a fascinating and memorable trip. As the Gulf is heavy in fish and is conveniently close, fishing trips are easy to make in Dubai. Guides are always available. Also Try: Best Souks in Dubai
Wet Rating: 0/5
Wild Rating: 3/5
Average Price: AED 300/3-hour trip
Dubaing Score: 3.5/5
Dubai has plenty to offer, but it doesn’t exactly hold a renowned name for a surfing destination. But the water parks here try to fill up the gap. Wild Wadi, Wadi Adventure, and Yas Waterpark have created surfing arenas with cutting edge technology. Though, you can take a go at surfing in nature’s creation too since Dubai has plenty of open-water. Though, the waves may not be too thrilling. Guides and coaches are always available.
Wet Rating: 5/5
Wild Rating: 3/5
Average Price: Varies too broadly
Dubaing Score: 3/5
Sailing has paved itself into one of the most prominent water sports, and water all around, Dubai is one of the prime locations to delve into this sport! Plenty of beach spots and resorts offer visitors an opportunity to rent a sailboat and speed in to the fun. Guides and coaches are always available.
Wet Rating: 4/5
Wild Rating: 2/5
Average Price: AED 200 per hour (Many locations will only lend for 10 hours; starting at AED 1000)
Dubaing Score: 3/5
There may not be much wildness or wetness with this, but this is a great opportunity to see Dubai’s skyline from a distance in the water. This is also an opportunity to take on a Bond villain’s lifestyle as you speed across in your speedboat across the Palm Jumeirah, Atlantis, or any other Dubai location as per your will. Guides and coaches are always available.
Wet Rating: 1/5
Wild Rating: 3/5
Average Price: AED 500 for 60 minutes
Dubaing Score: 2.5/5
There’s not much wetness or wildness with this, but this is a popular water activity in Dubai: rent a yacht and then head down into Gulf with friends or family for a private party. This is another opportunity to take on a Bond villain’s lifestyle. Also Try: Best Shopping Malls in Dubai
Wet Rating: 0/5
Wild Rating: 1/5
Average Price: AED 1500 for day rental
Dubaing Score: 2.5/5
As the name hints, aqua bikes are tricycles designed to allow you to paddle your way through the water. These are quite large and you’ll be comfortable seated high up couch-like chair. While these may not be thrilling and can be silly to look at, they are certainly exotic and fun; they are also a means to pleasantly roam around the beach-side waters and just have a calm time. Guides and coaches are always available.
Wet Rating: 1/5
Wild Rating: 1/5
Average Price: AED 250 for day-access; weekend costs may rise to AED 350
Dubaing Score: 2.5/5
If you are the owner or manager of a relevant business/institution and feel your business/institution has been overlooked, please contact us at Enquiry@Dubaing.ae


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7-2-2013 They claimed to be looking for the Boko Haram insurgents .
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7-2-2013 This was even as a middle aged woman suspected to be a member of the Boko Haram had one of her legs shattered while trying to plant an Improvised Explosive Device , IED , on a Baga Road market square in Maiduguri .
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7-2-2013 The ' Civilian JTF ' also arrested two women with AK47 rifles at the Monday Market yesterday .
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7-2-2013 The woman said to be carrying the improvised bomb to the area where it would have been planted , but it detonated before she reached her destination , last Sunday .
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7-2-2013 The youths whose efforts had earlier been commended by Governor Kashim Shettima and other concerned individuals for helping in the arrests of several Boko Haram sect members in Maiduguri and Damaturu , the Yobe State capital in the last couple of weeks have vowed that they would arrest both Othman and former Governor Sheriff and hand them over to security agencies for appropriate action .
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7-6-2013 Gunmen , believed to be from Islamist sect , Boko Haram , stormed the premises of Government Secondary School in the town of Mamudo in Yobe State at around 3am , setting fire to parts of the complex .
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7-6-2013 Suspected Islamic gunmen have killed at least 29 students and a teacher at a Nigerian boarding school , setting buildings on fire and then shooting pupils as they tried to escape .
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7-7-2013 According to agency reports , the insurgents set parts of the school complex on fire .
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7-8-2013 Photo : http://www.vanguardngr.com/ Vanguard Boko Haram sect splits President Goodluck Jonathan yesterday described the killings of over 40 students and a teacher of Government Secondary School in Yobe State by suspected Boko Haram members as wicked , horrific and barbaric , saying any person who targets innocent children as a result of emotional dysfunction will certainly burn in hell .
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8-7-2013 My suitcase containing my mini lap top , tape recorder , ATM cards , cheque books , shoes , clothes , documents and other valuables , were gone .
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8-7-2013 On reaching Asaba , my immediate reaction was to get across to my family but this became a difficult task getting to recall telephone numbers in a confused and traumatised state of mind .
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8-9-2013 Dozens of district and village heads performed the traditional horse riding in front of the Shehu 's palace which was watched by thousands of people from within and outside Maiduguri .
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8-11-2013 Men dressed in military camouflage arrived in Konduga town on Sunday Morning August 11 and shot or hacked to death dozens of people returning from morning Muslim prayers , two residents said . ''
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8-13-2013 A source told journalists in Maiduguri yesterday that not less that 52 villagers were killed between Saturday and Sunday in Mafa and Konduga Local Government Areas .
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8-12-2013 The Borno State government says it planning to reconstruct 823 classrooms destroyed by the Boko Haram insurgents following the gradual return of peace in the state .
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8-12-2013 Shettima said the plans was part of government 's agenda of '' ; reconstruction , rehabilitation and reintegration '' ; , to consolidate the return of peace after a prolonged Boko Haram crisis .
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8-13-2013 Maiduguri -- Gunmen suspected to be members of the Boko Haram sect have between last Saturday and Sunday killed at least 52 people in Mafa and Konduga local government areas of Borno State , locals and hospital sources said .
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8-24-2013 Sources told our reporter yesterday that about 50 gunmen stormed Dumba village which is some kilometers away from Baga and slaughtered 44 people .
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8-27-2013 Alhaji Baba Shehu Gulumba , chairman of Bama local government area told journalists in the nearest main city of Maiduguri , that insurgents disguised as soldiers and lured the youths into a trap .
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8-27-2013 This was just as suspected members of Boko Haram killed 14 pro-government youth vigilantes in an attack on Bama village in Borno State , a local official who attended the mass funeral for the victims told Reuters reports yesterday .
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8-31-2013 He said since the beginning of Boko Haram crises , there have never been any incidents of such within the community and its adjourning villages . ''
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9-10-2013 Last Tuesday , gunmen suspected to be Boko Haram had sacked Benisheik town in neighboring Borno state , killing scores of people and burning hundreds of houses .
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9-16-2013 Maiduguri -- Angry youths , members of a vigilante group , lynched a policeman and threatened others , Saturday , in retaliation for the killing of one of their members in Borno State , causing further friction in an area tense with violence from Islamist militants .
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9-17-2013 Maiduguri -- Over 50 people including military operatives , locals and travelers were on Tuesday evening killed by suspected Boko Haram insurgents who dressed in military fatigues .
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9-19-2013 The 7 Division of the Nigerian Army in Maiduguri was silent on the matter yesterday .
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9-24-2013 Sources said one of the policemen died on the spot while the remaining who sustained injuries were taken to a hospital by a police rescue team . ''
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11-4-2013 Suspected members of Boko Haram at the weekend attacked a wedding convoy in Borno State and killed more than 30 people , including the groom .
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10-1-2013 Photo : http://www.capitalfm.co.ke/ Capital FM Police The death toll in Sunday 's gunmen attack on students of the College of Agriculture , Gujba in Yobe State has risen to 62 , Amnesty International said yesterday .
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10-1-2013 The group also frowned at the escalating number of attacks on schools and students in the north-east , and called on the authorities to take drastic measures of protecting schools . ''
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10-10-2013 Our correspondent reports that the attack which took place at about 10pm caused a stampede around the area as residents scampered for safety .
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10-21-2013 Photo : http://premiumtimesng.com/ Premium Times Unknown gunmen No fewer than 10 people have been killed in Kawuri and Fori Local Government Areas of Borno State by suspected members of the Boko Haram .
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11-4-2013 A statement by the 7 Division of the Nigerian Army , based in Maiduguri , said yesterday that the death toll was five .
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11-23-2013 Few days after the National Assembly approved the extension of the emergency rule in three states including Adamawa , Yola the Adamawa State capital has come under attack by unknown gunmen which results in the death of three people .
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11-23-2013 The attack , which was the first launched on the state capital since the emergency rule was imposed on the state , came to many as a rude shock since there is high presence of the military personnel manning strategic positions in the town .
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12-1-2013 The attack came about two days after the killing of 17 villagers in Sabon Gari village in Damboa Local Government area of the state .
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12-3-2013 LEADERSHIP went round the areas affected by the attack , which started about 2:45 am and continued until 8am yesterday morning .
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12-24-2013 Boko Haram is believed to be fighting for an Islamic state in northern Nigeria , and is blamed for thousands of deaths since it began its uprising in 2009 .
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12-30-2013 According to a report by Reuters , the gunmen stormed a venue of a bachelor party and started shooting sporadically , killing eight persons on the spot .
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12-30-2013 Photo : Makanyane % 20Lodge.html http://www.makanyane.com/lodge_weddings.php Wedding flower arrangement Maiduguri -- Gunmen suspected to be members of the Boko Haram on Saturday stormed a wedding reception venue in Hawul local government area of Borno State where they killed eight celebrants and injured 12 others .
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1-14-2014 On January 14 , 2014 , in the heart of Maiduguri , the capital of Borno State , no less than 50 innocent Nigerians were slaughtered by Boko Haram in a suicide bomb attack .
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1-28-2014 The Borno attack , which was carried out at about 5pm on a market day led to many traders and residents sustaining injuries .
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2-16-2014 Suspected Islamist militants have killed dozens of Christian villagers in an attack in northeastern Nigeria .
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2-16-2014 Photo : http://premiumtimesng.com/ Premium Times Unknown gunmen Abuja -- MORE than 90 people have reportedly been killed after alleged members of the outlawed Boko Haram sect attack Izge Village in Gwoza , Borno State .
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2-16-2014 A resident of the area told journalists in Maiduguri that the gunmen were dressed in military camouflage invaded the town at about midnight on Saturday killing 93 people .
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2-20-2014 Dozens of villagers were on Thursday killed along Gulumba-Dikwa road in Dikwa local government area of Borno State when gunmen suspected to be members of the Boko Haram attacked .
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2-25-2014 Damaturu -- Gunmen suspected to be members of Boko Haram have killed dozens of students of Federal Government College , Yadi in Yobe in an early morning attack .
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3-3-2014 Photo : Vanguard.html NAN Arms recovered from gunmen in Borno At least 39 villagers were buried yesterday in Mainok village of Borno State after gunmen dressed in army camouflage attacked them yesterday evening , eyewitnesses and security sources said .
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3-3-2014 The Mainok attack came in the wake of stepped up violence by suspected Boko Haram fighters in Borno , Yobe and Adamawa states , which are all under a state of emergency .
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3-11-2014 Sources from the area indicated that , the gunmen struck from several directions in the village , shooting indiscriminately .
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3-16-2014 Nigerian officials say gunmen have killed more than 100 people in attacks on three villages in central Kaduna state , an area where disputes over land , religion and ethnicity often erupt into violence .
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3-23-2014 These areas have become blood spots arising from violent attacks that usually leave hundreds of people dead , thousands homeless and scores of houses destroyed .
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3-23-2014 Incidences of such attacks by gunmen have often assumed different strategies , while the gunmen would sometimes appear in military uniforms to deceive the people in the area .
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4-6-2014 Nigerian security forces have upped the ante in their ongoing offensive against insurgents with the deployment of advanced surveillance devices to help track the movement of key leaders and members of the Boko Haram sect that have been waging a campaign of terror in the North-east .
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4-11-2014 Rufa'i did not directly blame Boko Haram for the attack but the hardline group has been known for preaching against football as part of its agenda to impose strict Islamic law in northern Nigeria .
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5-8-2014 The Gamboru attack comes at a period world leaders have pledged to assist Nigeria find the over 200 teenage girls kidnapped by the Boko Haram in Chibok , Borno State .
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4-16-2014 Kogi speaker 's children kidnapped The criminal intent of kidnappers knows no bounds .
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4-24-2014 The attack came few hours to the National Security Council meeting convened by President Goodluck Jonathan following intensification of terrorists ' attacks in the country .
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5-7-2014 Survivors and rescue workers said on Wednesday that they had pulled out charred remains of people burnt en mass in various shops within the main Gamboru market in Borno State after Boko Haram gunmen had attacked the border town on Monday .
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5-15-2014 Understandably , residents of Gamboru Ngala , headquarters of the local government of the same name in Borno State have been deserting the town in droves .
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5-20-2014 After a decade of growth averaging 7 % annually , Nigeria has been promoted into the select ranks of the MINTs , a newer , edgier club of emerging markets that have caught the attention of investors disappointed by the lacklustre performance of the BRICs in recent years .
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5-20-2014 Global economic engagement with Nigeria 's vast labour force and consumer markets promise to replace poverty and terrorism with job creation and consumer satisfaction .
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5-20-2014 While investors focus on expanding markets for champagne and luxury cars among Nigerian elites , little of this exuberant growth is trickling down .
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5-20-2014 With a young population still growing at 2.8 % per year , Nigeria is confronting a demographic tsunami that puts 1.8 million new entrants into the job market every year .
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5-20-2014 Despite robust growth performance , poverty has actually increased from 52 % of the population living on less than US$ 1 per day in 2004 to 61 % in 2010 .
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7-17-2014 Gunmen riding on motorcycles yesterday kidnapped a German national in Adamawa State . ''
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7-17-2014 A German foreign ministry spokesman told AFP that he was aware of the case '' ; but declined to comment further .
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10-23-2014 Established designer brands to look forward to this year are Yanai by Tapiwa Mudekunye , Moi Amara by Jenika Shah , #NDNM by Gwi Mabika , Kun ' anda by Fatsani Kulera , Haus of Stone by Danayi Chapfika , Gilded Sands by Aobakwe Molosiwa from Botswana and William Bobongo from France .
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11-4-2014 As such the threat to the status quo implied by mass action is viewed as a dangerous precedent by charismatic preachers because it could result in the elimination of the poverty which happens to be the bait that the very preachers rely on to lure congregants .


ChoiceRule.Rd
Factory class for creating a choice rule.
StringEquals()
Creates a rule with the `StringEquals` operator.
ChoiceRule$StringEquals(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Constant value to compare `variable` against.
Rule: Rule with `StringEquals` operator.
StringEqualsPath()
Creates a rule with the `StringEqualsPath` operator.
ChoiceRule$StringEqualsPath(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Path to the value to compare `variable` against.
Rule: Rule with `StringEqualsPath` operator.
StringLessThan()
Creates a rule with the `StringLessThan` operator.
ChoiceRule$StringLessThan(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Constant value to compare `variable` against.
Rule: Rule with `StringLessThan` operator.
StringLessThanPath()
Creates a rule with the `StringLessThanPath` operator.
ChoiceRule$StringLessThanPath(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Path to the value to compare `variable` against.
Rule: Rule with `StringLessThanPath` operator.
StringGreaterThan()
Creates a rule with the `StringGreaterThan` operator.
ChoiceRule$StringGreaterThan(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Constant value to compare `variable` against.
Rule: Rule with `StringGreaterThan` operator.
StringGreaterThanPath()
Creates a rule with the `StringGreaterThanPath` operator.
ChoiceRule$StringGreaterThanPath(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Path to the value to compare `variable` against.
Rule: Rule with `StringGreaterThanPath` operator
StringLessThanEquals()
Creates a rule with the `StringLessThanEquals` operator.
ChoiceRule$StringLessThanEquals(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Constant value to compare `variable` against.
Rule: Rule with `StringLessThanEquals` operator.
StringLessThanEqualsPath()
Creates a rule with the `StringLessThanEqualsPath` operator.
ChoiceRule$StringLessThanEqualsPath(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Path to the value to compare `variable` against.
Rule: Rule with `StringLessThanEqualsPath` operator.
StringGreaterThanEquals()
Creates a rule with the `StringGreaterThanEquals` operator.
ChoiceRule$StringGreaterThanEquals(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Constant value to compare `variable` against.
Rule: Rule with `StringGreaterThanEquals` operator.
StringGreaterThanEqualsPath()
Creates a rule with the `StringGreaterThanEqualsPath` operator.
ChoiceRule$StringGreaterThanEqualsPath(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Path to the value to compare `variable` against.
Rule: Rule with `StringGreaterThanEqualsPath` operator.
NumericEquals()
Creates a rule with the `NumericEquals` operator.
ChoiceRule$NumericEquals(variable, value)
variable
(str): Path to the variable to compare.
value
(int): Constant value to compare `variable` against.
Rule: Rule with `NumericEquals` operator.
NumericEqualsPath()
Creates a rule with the `NumericEqualsPath` operator.
ChoiceRule$NumericEqualsPath(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Path to the value to compare `variable` against.
Rule: Rule with `NumericEqualsPath` operator.
NumericLessThan()
Creates a rule with the `NumericLessThan` operator.
ChoiceRule$NumericLessThan(variable, value)
variable
(str): Path to the variable to compare.
value
(int): Constant value to compare `variable` against.
Rule: Rule with `NumericLessThan` operator.
NumericLessThanPath()
Creates a rule with the `NumericLessThanPath` operator.
ChoiceRule$NumericLessThanPath(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Path to the value to compare `variable` against.
Rule: Rule with `NumericLessThanPath` operator.
NumericGreaterThan()
Creates a rule with the `NumericGreaterThan` operator.
ChoiceRule$NumericGreaterThan(variable, value)
variable
(str): Path to the variable to compare.
value
(int): Constant value to compare `variable` against.
Rule: Rule with `NumericGreaterThan` operator.
NumericGreaterThanPath()
Creates a rule with the `NumericGreaterThanPath` operator.
ChoiceRule$NumericGreaterThanPath(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Path to the value to compare `variable` against.
Rule: Rule with `NumericGreaterThanPath` operator.
NumericLessThanEquals()
Creates a rule with the `NumericLessThanEquals` operator.
ChoiceRule$NumericLessThanEquals(variable, value)
variable
(str): Path to the variable to compare.
value
(int): Constant value to compare `variable` against.
Rule: Rule with `NumericLessThanEquals` operator.
NumericLessThanEqualsPath()
Creates a rule with the `NumericLessThanEqualsPath` operator.
ChoiceRule$NumericLessThanEqualsPath(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Path to the value to compare `variable` against.
Rule: Rule with `NumericLessThanEqualsPath` operator
NumericGreaterThanEquals()
Creates a rule with the `NumericGreaterThanEquals` operator.
ChoiceRule$NumericGreaterThanEquals(variable, value)
variable
(str): Path to the variable to compare.
value
(int): Constant value to compare `variable` against.
Rule: Rule with `NumericGreaterThanEquals` operator.
NumericGreaterThanEqualsPath()
Creates a rule with the `NumericGreaterThanEqualsPath` operator.
ChoiceRule$NumericGreaterThanEqualsPath(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Path to the value to compare `variable` against.
Rule: Rule with `NumericGreaterThanEqualsPath` operator.
BooleanEquals()
Creates a rule with the `BooleanEquals` operator.
ChoiceRule$BooleanEquals(variable, value)
variable
(str): Path to the variable to compare.
value
(bool): Constant value to compare `variable` against.
Rule: Rule with `BooleanEquals` operator.
BooleanEqualsPath()
Creates a rule with the `BooleanEqualsPath` operator.
ChoiceRule$BooleanEqualsPath(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Path to the value to compare `variable` against.
Rule: Rule with `BooleanEqualsPath` operator.
TimestampEquals()
Creates a rule with the `TimestampEquals` operator.
ChoiceRule$TimestampEquals(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Constant value to compare `variable` against.
Rule: Rule with `TimestampEquals` operator.
TimestampEqualsPath()
Creates a rule with the `TimestampEqualsPath` operator.
ChoiceRule$TimestampEqualsPath(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Path to the value to compare `variable` against.
Rule: Rule with `TimestampEqualsPath` operator.
TimestampLessThan()
Creates a rule with the `TimestampLessThan` operator.
ChoiceRule$TimestampLessThan(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Constant value to compare `variable` against.
Rule: Rule with `TimestampLessThan` operator.
TimestampLessThanPath()
Creates a rule with the `TimestampLessThanPath` operator.
ChoiceRule$TimestampLessThanPath(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Path to the value to compare `variable` against.
Rule: Rule with `TimestampLessThanPath` operator.
TimestampGreaterThan()
Creates a rule with the `TimestampGreaterThan` operator.
ChoiceRule$TimestampGreaterThan(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Constant value to compare `variable` against.
Rule: Rule with `TimestampGreaterThan` operator.
TimestampGreaterThanPath()
Creates a rule with the `TimestampGreaterThanPath` operator.
ChoiceRule$TimestampGreaterThanPath(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Path to the value to compare `variable` against.
Rule: Rule with `TimestampGreaterThanPath` operator.
TimestampLessThanEquals()
Creates a rule with the `TimestampLessThanEquals` operator.
ChoiceRule$TimestampLessThanEquals(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Constant value to compare `variable` against.
Rule: Rule with `TimestampLessThanEquals` operator.
TimestampLessThanEqualsPath()
Creates a rule with the `TimestampLessThanEqualsPath` operator.
ChoiceRule$TimestampLessThanEqualsPath(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Path to the value to compare `variable` against.
Rule: Rule with `TimestampLessThanEqualsPath` operator.
TimestampGreaterThanEquals()
Creates a rule with the `TimestampGreaterThanEquals` operator.
ChoiceRule$TimestampGreaterThanEquals(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Constant value to compare `variable` against.
Rule: Rule with `TimestampGreaterThanEquals` operator.
TimestampGreaterThanEqualsPath()
Creates a rule with the `TimestampGreaterThanEqualsPath` operator.
ChoiceRule$TimestampGreaterThanEqualsPath(variable, value)
variable
(str): Path to the variable to compare.
value
(str): Path to the value to compare `variable` against.
Rule: Rule with `TimestampGreaterThanEqualsPath` operator.
IsNull()
Creates a rule with the `IsNull` operator.
ChoiceRule$IsNull(variable, value)
variable
(str): Path to the variable to compare.
value
(bool): Whether the value at `variable` is equal to the JSON literal null or not.
Rule: Rule with `IsNull` operator.
IsPresent()
Creates a rule with the `IsPresent` operator.
ChoiceRule$IsPresent(variable, value)
variable
(str): Path to the variable to compare.
value
(bool): Whether a field at `variable` exists in the input or not.
Rule: Rule with `IsPresent` operator.
IsString()
Creates a rule with the `IsString` operator.
ChoiceRule$IsString(variable, value)
variable
(str): Path to the variable to compare.
value
(bool): Whether the value at `variable` is a string or not.
Rule: Rule with `IsString` operator.
IsNumeric()
Creates a rule with the `IsNumeric` operator.
ChoiceRule$IsNumeric(variable, value)
variable
(str): Path to the variable to compare.
value
(bool): Whether the value at `variable` is a number or not.
Rule: Rule with `IsNumeric` operator.
IsTimestamp()
Creates a rule with the `IsTimestamp` operator.
ChoiceRule$IsTimestamp(variable, value)
variable
(str): Path to the variable to compare.
value
(bool): Whether the value at `variable` is a timestamp or not.
Rule: Rule with `IsTimestamp` operator.
IsBoolean()
Creates a rule with the `IsBoolean` operator.
ChoiceRule$IsBoolean(variable, value)
variable
(str): Path to the variable to compare.
value
(bool): Whether the value at `variable` is a boolean or not.
Rule: Rule with `IsBoolean` operator.
StringMatches()
Creates a rule with the `StringMatches` operator.
ChoiceRule$StringMatches(variable, value)
variable
(str): Path to the variable to compare.
value
(str): A string pattern that may contain one or more `*` characters to compare the value at `variable` to. The `*` character can be escaped using two backslashes. The comparison yields true if the variable matches the pattern, where `*` is a wildcard that matches zero or more characters.
Rule: Rule with `StringMatches` operator.
And()
Creates a compound rule with the `And` operator.
ChoiceRule$And(rules)
rules
(list(BaseRule)): List of rules to compound together.
CompoundRule: Compound rule with `And` operator.
Or()
Creates a compound rule with the `Or` operator.
ChoiceRule$Or(rules)
rules
(list(BaseRule)): List of rules to compound together.
CompoundRule: Compound rule with `Or` operator.
Not()
Creates a negation for a rule.
ChoiceRule$Not(rule)
rule
(BaseRule): Rule to Negate.
NotRule: Rule with `Not` operator.
clone()
The objects of this class are cloneable with this method.
ChoiceRule$clone(deep = FALSE)
deep
Whether to make a deep clone.


| GTK+ 2.0 Tutorial using Ocaml | ||
|---|---|---|
| <<< Previous | Next >>> |
These all require authors! :) Please consider contributing to our tutorial.
If you must use one of these widgets that are undocumented, I strongly suggest you take a look at their respective header files in the GTK distribution. GTK's function names are very descriptive. Once you have an understanding of how things work, it's not difficult to figure out how to use a widget simply by looking at its function declarations. This, along with a few examples from others' code, and it should be no problem.
When you do come to understand all the functions of a new undocumented widget, please consider writing a tutorial on it so others may benefit from your time.
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Bookstaan is a portal to sell your old books and also buy books being sold by others. It is specially made for college students and their needs.
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Optimization¶
statsmodels uses three types of algorithms for the estimation of the parameters of a model.
Basic linear models such as WLS and OLS are directly estimated using appropriate linear algebra.
RLM and GLM, use iteratively re-weighted least squares. However, you can optionally select one of the scipy optimizers discussed below.
For all other models, we use optimizers from scipy.
Where practical, certain models allow for the optional selection of a scipy optimizer. A particular scipy optimizer might be default or an option. Depending on the model and the data, choosing an appropriate scipy optimizer enables avoidance of a local minima, fitting models in less time, or fitting a model with less memory.
statsmodels supports the following optimizers along with keyword arguments associated with that specific optimizer:
newton
- Newton-Raphson iteration. While not directly from scipy, we consider it an optimizer because only the score and hessian are required.- tolfloat
Relative error in params acceptable for convergence.
nm
- scipy’sfmin_nm
- xtolfloat
Relative error in params acceptable for convergence
- ftolfloat
Relative error in loglike(params) acceptable for convergence
- maxfunint
Maximum number of function evaluations to make.
bfgs
- Broyden–Fletcher–Goldfarb–Shanno optimization, scipy’sfmin_bfgs
.- gtolfloat
Stop when norm of gradient is less than gtol.
- normfloat
Order of norm (np.Inf is max, -np.Inf is min)
- epsilon
If fprime is approximated, use this value for the step size. Only relevant if LikelihoodModel.score is None.
lbfgs
- A more memory-efficient (limited memory) implementation ofbfgs
. Scipy’sfmin_l_bfgs_b
.- mint
The maximum number of variable metric corrections used to define the limited memory matrix. (The limited memory BFGS method does not store the full hessian but uses this many terms in an approximation to it.)
- pgtolfloat
The iteration will stop when
max{|proj g_i | i = 1, ..., n} <= pgtol
where pg_i is the i-th component of the projected gradient.- factrfloat
The iteration stops when
(f^k - f^{k+1})/max{|f^k|,|f^{k+1}|,1} <= factr * eps
, where eps is the machine precision, which is automatically generated by the code. Typical values for factr are: 1e12 for low accuracy; 1e7 for moderate accuracy; 10.0 for extremely high accuracy. See Notes for relationship to ftol, which is exposed (instead of factr) by the scipy.optimize.minimize interface to L-BFGS-B.- maxfunint
Maximum number of iterations.
- epsilonfloat
Step size used when approx_grad is True, for numerically calculating the gradient
- approx_gradbool
Whether to approximate the gradient numerically (in which case func returns only the function value).
cg
- Conjugate gradient optimization. Scipy’sfmin_cg
.- gtolfloat
Stop when norm of gradient is less than gtol.
- normfloat
Order of norm (np.Inf is max, -np.Inf is min)
- epsilonfloat
If fprime is approximated, use this value for the step size. Can be scalar or vector. Only relevant if Likelihoodmodel.score is None.
ncg
- Newton conjugate gradient. Scipy’sfmin_ncg
.- fhess_pcallable f’(x, *args)
Function which computes the Hessian of f times an arbitrary vector, p. Should only be supplied if LikelihoodModel.hessian is None.
- avextolfloat
Stop when the average relative error in the minimizer falls below this amount.
- epsilonfloat or ndarray
If fhess is approximated, use this value for the step size. Only relevant if Likelihoodmodel.hessian is None.
powell
- Powell’s method. Scipy’sfmin_powell
.- xtolfloat
Line-search error tolerance
- ftolfloat
Relative error in loglike(params) for acceptable for convergence.
- maxfunint
Maximum number of function evaluations to make.
- start_direcndarray
Initial direction set.
basinhopping
- Basin hopping. This is part of scipy’sbasinhopping
tools.- niterinteger
The number of basin hopping iterations.
- niter_successinteger
Stop the run if the global minimum candidate remains the same for this number of iterations.
- Tfloat
The “temperature” parameter for the accept or reject criterion. Higher “temperatures” mean that larger jumps in function value will be accepted. For best results T should be comparable to the separation (in function value) between local minima.
- stepsizefloat
Initial step size for use in the random displacement.
- intervalinteger
The interval for how often to update the stepsize.
- minimizerdict
Extra keyword arguments to be passed to the minimizer scipy.optimize.minimize(), for example ‘method’ - the minimization method (e.g. ‘L-BFGS-B’), or ‘tol’ - the tolerance for termination. Other arguments are mapped from explicit argument of fit: - args <- fargs - jac <- score - hess <- hess
minimize
- Allows the use of any scipy optimizer.- min_methodstr, optional
Name of minimization method to use. Any method specific arguments can be passed directly. For a list of methods and their arguments, see documentation of scipy.optimize.minimize. If no method is specified, then BFGS is used.
Model Class¶
Generally, there is no need for an end-user to directly call these functions and classes. However, we provide the class because the different optimization techniques have unique keyword arguments that may be useful to the user.
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Fit model using L-BFGS algorithm |
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CodeMirror is a JavaScript program that can be used to create a relatively pleasant editor interface for code-like content ― computer programs, HTML markup, and similar. If a parser has been written for the language you are editing (we currently have JavaScript, XML, CSS, and SPARQL covered), the code will be prettily coloured, and indentation will be taken care of for you, meaning the cursor will be placed at the right position when you press enter, and it is possible to re-indent blocks of code automatically.
To get a look at CodeMirror, see the test pages for the various parsers...
Or take a look at some real-world uses of the system...
29-12-2008: Version
0.60: This release makes lots of internal changes, so test before
you upgrade. More robust selection-preservation on IE, allowing styles
with different font sizes. New activeTokens
and
cursorActivity
callbacks, and a more powerful, line-based
interface for inspecting and manipulating the content of the editor
(see manual). Fixes the
replaceSelection
problem in IE, and a lot of other,
smaller issues.
28-09-2008: Version
0.58: Add parsers for SPARQL and HTML-mixed-mode (nests CSS and JS
parsers). Also: bracket highlighting, a 'dumb tabs' mode, an
onChange
callback, and heaps of bugfixes. See the manual
for details on the new features.
04-07-2008: Version 0.57: A CSS parser and a nice tokenizer framework, bugfixes in the XML parser, a few browser-issue workarounds, one of which should fix the age-old Firefox cursor-showing-on-wrong line bug.
25-04-2008: Version 0.56: Fixes for some minor bugs, no new features.
30-03-2008: Version
0.55: Fixes a bug that broke redo, adds readOnly
option.
10-03-2008: Version
0.54: Some new utility functions and options (see
fromTextArea
, saveFunction
,
initCallback
, textWrapping
,
disableSpellcheck
, jumpToLine
, and
reindent
in the manual), many
bugfixes, and some cleaning up and shrinking of the codebase (MochiKit is no longer used).
26-01-2008: Version 0.53: Adds support for continuous scanning, search/replace, undo/redo, jump-to-line, selection getting and setting. See the manual for details. Also fixes a bucket of bugs.
At this time, the following browsers are supported:
Making it work on other browsers that have decent support for the W3C DOM model should not be too hard, but I am not actively testing against those.
All of CodeMirror is released under a BSD-style license. To get it, you can download the latest release or the current development snapshot as zip files, or use the darcs version control system to get the repository:
darcs get http://marijn.haverbeke.nl/codemirror
This second method is recommended if you are planning to hack on CodeMirror ― it makes it easy to record your patches and share them with me. To see the repository online, visit the CodeMirror darcsweb.
There is a Google group (a sort of mailing list/newsgroup thingy) for discussion and news related to CodeMirror. You can also e-mail me directly: Marijn Haverbeke.


About
- Fishing Polling is made for polls related to fishing. It allows users to create polls about
fishing,
and gauge interest from other users on similar interests.
Account Types
- Administrator - Administrators have the ability to add and delete polls, delete responses to polls and add and delete users.
- Registered User - Registered users can view polls and current standings, and submit responses to polls.
- Unregistered User - Unregistered users can view polls, and can also view current standings if the poll owner allows it.
Poll Types
- Completed - Completed Polls refer to polls marked as completed. Votes can no longer be casted.
- Active - Active Polls refer to current polls that are still in progress.
- Inactive - Inactive Polls refer to polls that have been deleted by an Administrator. They are stored as a form of history.


--- title: "Publications" description: "A list of my publications including links to pdfs, code and talks." permalink: /publications/ author_profile: true years: [2022, 2021, 2020, 2019] ---
Efficient Bounded Exhaustive Input Generation from Program APIs by Mariano Politano, Valeria Bengolea, Facundo Molina, Nazareno Aguirre, Marcelo Frias, and Pablo Ponzio. To appear in Fundamental Approaches to Software Engineering - 26th International Conference, FASE 2023, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023, Paris, France, April 22-27, 2023.
Learning to prune infeasible paths in generalized symbolic execution by Facundo Molina, Pablo Ponzio, Nazareno Aguirre, and Marcelo F. Frias. In 33rd IEEE International Symposium on Software Reliability Engineering, ISSRE 2022, Charlotte, NC, USA, October 31-November 3, 2022, 2022. [ code | .pdf ]
Fuzzing class specifications by Facundo Molina, Marcelo d'Amorim, and Nazareno Aguirre. In 44th IEEE/ACM 44th International Conference on Software Engineering, ICSE 2022, Pittsburgh, PA, USA, May 25-27, 2022, pages 1008–1020. ACM, 2022. [ code | media | https | .pdf ]
Evospex: An evolutionary algorithm for learning postconditions by Facundo Molina, Pablo Ponzio, Nazareno Aguirre, and Marcelo F. Frias. In 43rd IEEE/ACM International Conference on Software Engineering, ICSE 2021, Madrid, Spain, 22-30 May 2021, pages 1223–1235. IEEE, 2021. [ code | media | https | .pdf ]
Applying learning techniques to oracle synthesis by Facundo Molina. In 35th IEEE/ACM International Conference on Automated Software Engineering, ASE 2020, Melbourne, Australia, September 21-25, 2020, pages 1153–1157. IEEE, 2020. [ media | https | .pdf ]
Training binary classifiers as data structure invariants by Facundo Molina, Renzo Degiovanni, Pablo Ponzio, Germán Regis, Nazareno Aguirre, and Marcelo F. Frias. In Proceedings of the 41st International Conference on Software Engineering, ICSE 2019, Montreal, QC, Canada, May 25-31, 2019, pages 759–770. IEEE / ACM, 2019. [ code | https | .pdf ]
An evolutionary approach to translating operational specifications into declarative specifications by Facundo Molina, César Cornejo, Renzo Degiovanni, Germán Regis, Pablo F. Castro, Nazareno Aguirre, and Marcelo F. Frias. Sci. Comput. Program., 181:47–63, 2019. [ code | https | .pdf ]
A genetic algorithm for goal-conflict identification by Renzo Degiovanni, Facundo Molina, Germán Regis, and Nazareno Aguirre. In Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, ASE 2018, Montpellier, France, September 3-7, 2018, pages 520–531. ACM, 2018. [ code | https | .pdf ]
From operational to declarative specifications using a genetic algorithm by Facundo Molina, Renzo Degiovanni, Germán Regis, Pablo F. Castro, Nazareno Aguirre, and Marcelo F. Frias. In Proceedings of the 11th International Workshop on Search-Based Software Testing, ICSE 2018, Gothenburg, Sweden, May 28-29, 2018, pages 39–42. ACM, 2018. [ https | .pdf ]
An evolutionary approach to translate operational specifications into declarative specifications by Facundo Molina, César Cornejo, Renzo Degiovanni, Germán Regis, Pablo F. Castro, Nazareno Aguirre, and Marcelo F. Frias. In Formal Methods: Foundations and Applications - 19th Brazilian Symposium, SBMF 2016, Natal, Brazil, November 23-25, 2016, Proceedings, volume 10090 of Lecture Notes in Computer Science, pages 145–160, 2016. [ https | .pdf ]
This webpage was generated by bibtex2html 1.99.


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Here's some Basic Terminology to get you Started
Moneyline - is simply a bet on a team to win a given game, regardless of the winning margin or points scored.
Spread - a bet where you select for a team to either win by more than a set number of points, or for a team to not lose by more than that set number of points.
Totals (Over/Under) - a bet on the total amount of points scored by both teams in a game.


Within the /system/expressionengine/third_party/ directory, copy the importer folder into your sites ./system/expressionengine/third_party/ directory.
Within the /themes/third_party/ directory, copy the importer folder into your sites ./themes/third_party/ directory.
Go to the Modules area in the ExpressionEngine control panel, find Importer in the list, and click Install.
Setup and configuring:
To start creating Import profiles, go to the Importer Control Panel area and follow the step-by-step instructions.
Updating
Within your sites ./system/expressionengine/third_party/ directory, delete the importer folder and upload the new one from the /system/expressionengine/third_party/ directory in your download package.
Within your sites ./themes/third_party/ directory, delete the importer folder and upload the new one from the /themes/third_party/ directory in your download package.
Go to the Modules area in the ExpressionEngine control panel and click the Run Module Updates button.


Hit Media
Hit Media Inc was incorporated in November 1994 by Derek Sivers to include his booking agency and recording studio business.
When he started CD Baby in March 1998, a bank teller suggested he just make it a DBA of Hit Media Inc instead of spending the $100 to set up a new company.
Alas, that horrible decision cost $3.3 million later, but that's a different story, and that's how we learn.
When CD Baby was sold to Disc Makers in August 2008, it was done as an “asset sale”, which means Hit Media Inc now owns nothing, even though the corporation still exists.
And so here we are with an empty website, and not much to say.


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Paisley Centre roof collapses as emergency services rush to scene
Scottish Fire and Rescue confirmed eight appliances are at the scene of the incident which took place just after 3pm on Monday November 4.
by Nicholas Keyden, https://www.dailyrecord.co.uk/authors/nicholas-keyden/Emergency services have raced to a shopping centre in Paisley after its roof caved in.
Scottish Fire and Rescue were called to the scene of the collapse just after 3pm on Monday November 4.
Images shared on social media show the ground of the Renfrewshire shopping centre, at its High Street entrance, completely covered in large pieces of debris.
The fire service confirmed eight appliances are currently in attendance, with police helping to close the centre.
Reports online say there are no injuries, however this is yet to be confirmed.
@bycharlitteann_ said online: “Jesus Christ the roof of the Paisley centre collapsed!!”
A Scottish Fire and Rescue spokesperson said: "We are currently in attendance at the Paisley Centre having receiving a call at 1509 on Monday November 4.
"Eight appliances are currently in attendance."
A Police Scotland spokesperson said: "Around 3.15pm police were made aware of structural damage at the Paisley Centre High Street entrance.
"There are no injuries with officers in attendance to assist with closing the centre."


Description
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A foveated rendering pipeline that is the first one to utilize geometry information for reconstructing diffuse global illumination from a low-resolution approximation.
Recently, while applications of Virtual Reality and Augmented Reality (VR/AR) are getting popular, foveated rendering, a rendering schema for reducing rendering cost by utilizing properties of the human visual system, is also getting more attention especially for high-resolution and high-refresh-rate VR/AR systems. It reduced rendering time by allocating primary of computational resources to the fovea for fidelity preservation and decreasing image quality of the periphery.
Many methods have focused on subsampling geometry and run fragment shading at a relatively low rate. However, they cannot reduce the shading rate more aggressively since those following screen-space upsampling processes would bring a blurred result at the peripheral region. This artifact would usually make rendering result distinguishable from the original for users. Moreover, a large portion of state-of-the-art real-time rendering systems involves real-time global illumination, which is not fully considered in existing foveated rendering algorithms.
In this thesis, we draw an analogy between foveated rendering and global illumination and propose the first foveated rendering algorithm base on a geometry-aware reconstructing strategy to approximate illumination. We put our emphasis on the computation of global illumination which usually dominates rendering performance. Our key component is a pyramid of buffers storing geometry information which is sampled according to the gaze position of users. With this pyramid, we can reconstruct diffuse global illumination from a low-resolution shaded image while keeping fidelity at the fovea. In the end, direct illumination is blended with indirect illumination to form an entire frame. Our experiments show that we can get 6x-8x speedup in rendering time with a minimal perceptual loss-of-detail.
We proposed a foveated rendering pipeline to approximate global illumination. The indirect illumination is first separated from the direct illumination and proceeded to the foveated rendering algorithm. In the end, the result is multiplied with the full-resolution diffuse texture color and blended with direct illumination to compose the final frame.
We store the gaze-contingent geometry information into a point-based hierarchy by a pyramid of buffers. The illuminance is estimated at the smallest layer and then propagated to the child nodes. The final frame is eventually projected back to a screen-space buffer. Note that the coverage of one sampling point is getting bigger while the eccentricity is larger.
After we execute fragment shading on the coarsest level of the pyramid, we reconstruct the illumination up to the finest detail level by level with a geometry-aware reconstructing strategy. For every pixel at the higher level, we compare the similarity of geometry with the four closest pixels around the corresponding texel position at the lower level. The similarity of geometry can be calculated from normal and depth diversity.


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After 13 yeas of working in IT, starting as a Operations Engineer and System Administrator to becoming a CIO. I made the move to freelance in 2017. Since then I have been learning and working as a web developer. First of all I was starting to study English. With my knowledge and understanding of English I began to learn base of html, css and javascript. Now I can use in my projects modern technologies like React/Redux, GraphQL/Prisma, Apollo, NodeJs, Express.js, MongoDB, Javascript ES6 and later, Gulp, Webpack, Babel, Sass and so on. I can create application from the very beginning to the finished project. Moreover I can deploy, support, test products on my own servers.
Operations Engineer
Mar 2005 - Apr 2008
PO "START"
System administrator
Apr 2008 - May 2012
PO "START"
Engineering Group Manager
May 2012 - May 2013
PO "START"
Chief Information Officer
May 2013 - Sep 2016
"Center of information technologies"
Full Stack Web Developer
Jan 2017 - Now
"Creating web application Front-end, Back-end, Api"
Graduated from the university
Jun 2004
Design and Production Engineering
of Radio Electronic Devices
Penza State University
Linux, Network
2005 - 2008
LinuxCBT, Specialist
Linux, Windows, Cisco(routing and switching)
2008 - 2012
Cisco, Specialist
Voip, Asterisk, ITIL
2012 - 2016
Specialist, free courses
Web development
2017 - Now


Actions define what can be performed over an object, character or active area.
"Examine" "Take" (only objects and active areas) "Use" "Custom" (both with one element and with two) "Use with" (only objects) "Give to" (only objects) "Talk to..." (only characters)
The conditions of the actions indicate when it can be performed. If the conditions of the actions are not active, the action button will not be drawn (unless it is an action with a default behaviour, see below).
The effect of the actions are the consequence of it being chosen by the player.
When an action has "Not effects" defined, it will always be available to the player (even when its conditions are not met). This are the effects of the action when the conditions aren't met.
All elements have the "Examine" action by default, which leads the main character to "speak" the "Detailed description" of the element. In objects, the "Grab/Use" action also appears by default, and results on the main character indicating that such an action cannot be performed if the player choses it. The same is true for the "Talk to..." action with NPCs. The behavior of the default actions is overwriten if any of these actions is defined by the creator.


Son Chu Hoang
I love building things, whether it’s SaaS, eCommerce brands or simply businesses that leave an impact on people.
If you love these things, let’s be friends. 👇
Twitter (Building side-SaaS in public)
About me
- 🇻🇳 Home town: Hanoi, Vietnam
- 🇫🇮 Living in Finland
- 🚼 Born in 1996 (26 years old)
- 👨💻 Used to be a software developer
- 👟 Currently a Cofounder, CMO & CTO @ rensoriginal.com, the world’s first coffee sneaker brand.
Public Recognition
Side Creations
spent 4 hours today building this alfred todoist workflow (cuz i hate the current available ones out there) instead of doing actual todos. #buildinginpublic pic.twitter.com/Uk8yYAn4ZZ
— Chu Hoang Son (@chuhoangson) May 8, 2022
I just published: How I absolutely kill it at Productivity https://t.co/KTM9AXzqZy (with the help of @raycastapp )
— Chu Hoang Son (@chuhoangson) May 19, 2022


Arbitrary code execution in the Marvin Minsky 1967 implementation of the universal Turing machine
Phases i: Locating current quintuple ii: Copying next quintuple id and remembering symbol to write iii: Writing the symbol and housekeeping iv: Move head
0000M000000Y001X0000001X0010110X0100011X0110100Y00
For details, see the paper Johnson, Pontus, Intrinsic Propensity for Vulnerability in Computers? Arbitrary Code Execution in the Universal Turing Machine, 2021. and the Python implementation.


In April 1980 Scoil Rince Ui Chiardha was born, brought together by principle Roseleen Carey. Roseleen taught dancing for many years in Galway before coming to England in 1997 and started a class in Waterlooville and Brighton following requests by local Irish parents. Soon after, more classes in Worthing and Haywards Heath were started and so, the system for travelling around from group to group, area to area became the norm.
Nowadays the classes are in East Preston, Haywards Heath, and Patcham with the desire to grow into more local areas. During the last 17 years, the dancers have taken part in many feiseanna winning awards, reaching the highest level by competing in the World Championships including Belfast, Killarney and Glasgow. The school is also very keen on attending dancing displays around the South East from school fetes to St Patrick day and charity events.
The school believes there is no greater joy than to see a dancer progress from a nervous beginning to a confident well balanced performer, and the teachers Sinead and Sally have grown with the school over the past 15 years of more. They are very experienced dancers and have been teaching alongside Roseleen for many years gaining valuable experience.
One of the schools greatest strength is genuine friendship and throughout the school lifetime the support of the parents has been invaluable. Free trial classes are offered to all new dancers so why not come along and see what you think; we look forward to seeing you soon.


nlpru
— Reference of all methods¶
This page contains an overview of all methods in nlpru
Cleaner¶
To clean tweet (or general text) objects to prepare them for other Natural Language Processing methods
-
class
Cleaner
([language="ru"])¶ The Cleaner object works by cleaning a specified piece of text for natural language analysis
- Parameters
language – default for Russian text, no other languages are yet availible
-
Clean_document
([input_document][, remove_RTs=True][, remove_hashtags=True][, remove_mentions=True][, remove_urls=True][, remove_emoji=True][, remove_swears=False][, remove_special_chars=True])¶ Clean_tweet - cleans the tweet, removing all mentions, urls, hashtags, and emojis
- Parameters
input_document – the document (or tweet) as a string
remove_RTs – remove the ‘RT (****) ‘ from the front of the tweet text. Nothing is put in its place. (Ex: “RT @johnsmith hey there!” => “hey there!”)
remove_hashtags – remove hashtags present from the input_document. Works by simply replacing the whole hashtag with nothing.
remove_mentions – remove a mentioned user. Works by simply replacing the mentioned user handle with nothing.
remove_urls – remove any urls present in the input_document. Works on http and https, including tiny urls. Simply replaces the url present with nothing.
remove_emoji – remove any emojis found in the input_document with nothing.
remove_swears – remove russian swear words from the input_documents with nothing.
remove_special_chars – remove special characters, such as symbols, ampersands, arrows, etc. (Full list: “[→©ђ°ѓ¡||=/▶►‼?~é̄̃«»;џ�_●▪™“„#ї*&%¿$-”<>’|/?~`+：«»;_“„&^№€…)(—]”`)
- Return type
clean formatted string
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Check_word
([word][, lemmatize=True][, remove_proper_nouns=True][, allow_acronyms=False][, exclude_english_words=True])¶ Check_word - checks if the word is good to be included for natural language analysis. It takes the specified word, and returns the a result dictionary.
- Parameters
word – input the word to check
lemmatize – lemmatize the word to get the root
remove_proper_nouns – check to see if the words is a noun, in which case do not return it in the response object and return a status of status: ‘empty’
allow_acronyms – check if the word is an acronym, if so, do not return in.
exclude_english_words – exclude english words from the Russian text.
- Return type
response dictionary of the word and the status, conditional on the cleaning done, and based on the specified parameters
{ "status": "", #'ok' or 'empty' possible "word": "" #'word' or '' possible }
Similarity¶
Calculate semantic similarity between two documents
-
class
Semantics
([clean=None])¶ Semantics is an objects that supports the extraction of one capability - calculating semantic similarity between two documents.
- Parameters
clean –
clean the document to extract social media type content that will negatively impact analysis, such as hashtags, mentions urls, emoji, etc. Attribute_types (specify what you want):
None - do not clean document
’All’ - remove everything (full list below)
[‘RT’,’hashtags’,’mentions’,’urls’,’emoji’,’swears’,’special_chars’] - if you want to remove specific things, specify any from the above as strings in a list, such as [‘RT’,’mentions’] and only the specified ones will be cleaned.
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Get_similarity
([docs_list][, use_normal_form=False][, clean_documents=True][, stop_words=None][, use_ngrams=True])¶ Return the cosine similarity betweet two documents. Behind the scenes, sklearn’s tf-idf approach (TfidfVectorizer()) is used.
- Parameters
docs_list – a list of documents for which to get semantic similarity
use_normal_form – lemmatization of all words present in the documents
clean_documents – if True, utilize the nlpru.Cleaner.Clean_documents() method.
stop_words – if you want to use a specific set of stop words, specify them as a list.
use_ngrams – if you want to use 2-3 n-grams for the semantic similarity specify True. Otherwize, unigrams (i.e. single words) will be used.
- Return type
depending on ‘similarity_to’ param, either similarity row vector of the first document to all others docs is returned, or (if ‘All’ is specified) matrix of of all docs against all others
FindTopics¶
Categorize tweets (or documents) by topic
-
class
FindTopics
([**kwargs])¶ Detect topics in documents/tweets.
- Parameters
kwargs – under the hood, FindTopics._init_() can convert the inputs into tweet_dict (that is required for the method to work with). Henc all of the possible kwargs reference the Convert_to_tweet_dictionary() inputs
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Keyword_Match
([topic_dict])¶ Categorize the tweet/document depending on whether specific words are present
- Parameters
topic_dict – a dictionary of topics is required as an input
- Return type
dictionary of documents/tweets with the key as the uniqueid, and the text/topic as sub-dicts
Conversations¶
Categorize tweets/documents by topic by also taking conversation threat concepts into account
-
class
Conversations
([**kwargs])¶ The Cleaner object works by cleaning a specified piece of text for natural language analysis
- Parameters
kwargs –
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Recategorize_topics
([topic_for_which_to_check][, no_topic_label="none detected"][, **kwargs])¶ Check_word - checks if the word is good to be included for natural language analysis. It takes the specified word, and returns the a result dictionary.
- Parameters
topic_for_which_to_check –
no_topic_label –
kwargs –
- Return type
dictionary of documents/tweets with the key as the uniqueid, and the text/topic as sub-dicts


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