{% extends "base.html" %} {% load humanize static hc_extras %} {% block title %}Add Matrix - {% site_name %}{% endblock %} {% block content %}
If your team uses Matrix, you can set up {% site_name %} to post notifications to an appropriate Matrix room.


|
Steam Audio API
2.0-beta.18
|
This page describes the ways in which audio data can flow through your audio engine when integrated with Steam Audio.
Understanding the various possible sequences of Steam Audio operations that can be applied to audio data will help you decide how best to implement the integration with your audio engine. In the following discussion, the sound source is assumed to be a mono (single-channel) point source; Steam Audio automatically downmixes multi-channel source audio to mono before proceeding.
This section discusses the typical audio pipeline when using Steam Audio to apply 3D audio and sound propagation effects to individual sources. This is the most feature-rich and flexible way of using Steam Audio, but it involves a CPU overhead that depends on the number of sources that use Steam Audio.
The simplest uses of Steam Audio involve adding effects to the direct sound path: recreating how sound travels from the source to the listener, without accounting for reflected or diffracted sound. The following effects can be applied to the direct sound path, in order:
This models how the amplitude of a sound source is attenuated over distance, as it travels from the source to the listener. Steam Audio uses a physics-based attenuation model, with the amplitude decaying proportionally to \( 1/r \), where \(r\) is the distance between the source and the listener. See Direct Sound for details.
This models how sound is occluded by solid objects. Steam Audio supports multiple occlusion algorithms, see Direct Sound for details. Modeling occlusion requires that the game engine send scene information to the audio engine; see Game Engine Integration for details.
This spatializes the sound based on the direction from the listener to the source. The spatialization is performed using HRTFs; the output of this step is a 2-channel (stereo) buffer that is best listened to using headphones. See Object-Based Binaural Effect for details.
Steam Audio can simulate how sounds reflect off of solid objects, leading to effects like echoes and reverberation. These effects are collectively termed indirect sound. The following is the typical flow of audio data when indirect sound effects are applied:
This is the main processing stage where sound propagation effects are applied. This involves applying a source-dependent convolution reverb to the sound emitted by the source, which accounts for all the interactions between the sound and the environment as the sound flows from the source to the listener. The output of this step is a multi-channel Ambisonics buffer that must be decoded in software or hardware. See Convolution Effect for details.
Some audio engines may be able to process Ambisonics audio as-is, using a built-in software decoder or an external hardware decoder. Others will require that you decode the Ambisonics data using the software decoders included with Steam Audio. The output of this step is a multichannel (stereo, quadraphonic, 5.1, or 7.1) audio buffer that can be used with most typical audio engines. See Ambisonics Panning Effect and Ambisonics Binaural Effect for details.
You can adjust the relative levels of direct and indirect sound in the final mix. If your audio engine supports auxiliary buses, submix voices, or something similar, you should be able to instantiate the Convolution Effect object on the auxiliary bus, and adjust the send level to the auxiliary bus for each source. If this feature is not supported by your audio engine, you may have to implement it yourself.
You can use Steam Audio to apply listener-dependent reverb to the audio flowing through any part of your audio engine's signal graph.
From the point of view of Steam Audio, applying reverb to a (sub-)mixed buffer of audio is more or less the same as applying sound propagation effects to a source. The only difference is that for sound propagation, the source and listener are in general at different positions; for reverb they must be at the same position. The signal flow is otherwise identical, see Convolution Effect for details.
As with sound propagation effects, the output of the physics-based reverb step is a multi-channel Ambisonics buffer. It may be decoded in software or hardware by your audio engine; if this functionality is not available, you can use Steam Audio's software decoders. See Ambisonics Panning Effect and Ambisonics Binaural Effect for details.
If your audio engine supports auxiliary buses or submix voices, you can use them to create a dedicated signal path for sounds that have reverb applied to them, and adjust a send level (or wet/dry mix level) to balance the relative level of reverb in the mix. If your audio engine does not support this functionality, you may have to implement it yourself.
You can use Steam Audio to spatialize any Ambisonics or surround (quadraphonic, 5.1, or 7.1) audio signal to a binaural (2-channel) signal. This can help keep CPU overheads low when you want to spatialize lots of sources. It is also useful for quickly adding HRTF-based binaural rendering to an existing project, without making extensive changes to individual sources.
Any Ambisonics audio data can be spatialized using HRTFs. See Ambisonics Binaural Effect for details.
You can also apply HRTF-based binaural rendering to any surround-format buffer. For example, with a 5.1 audio buffer, Steam Audio can place virtual sources around the listener corresponding to the speaker positions in a standard 5.1 layout, and render each channel as a mono point source at its corresponding position. See Virtual Surround Effect for details.


Click on a window's name to rename it.
Middle click on an icon to open just that tab.
Drag an icon to re-arrange tabs.
Hover on an icon to view the title for that tab.
Click on an icon to jump to that tab.
Drag a tab to the trashcan icon to remove it.
Dragging saved windows lets you reorder them.
Please rate and comment - TabCloud.
Looking for more features? Try OxyChrome.
Options / Help -
Logout


Want to learn one of the most beginner friendly languages, that also has a lot of job opportunities?
Rated by staff
Learn one of the most convenient languages when it comes to web developing!
Rated by staff
Learn how to make websites from HTML, CSS, and Javascript!
Rated by staff


Birds
Sathvik Photography
Abstract
Landscapes
Macro
Nandi hills
Butterfly
Photo essays
Portraiture
Follow me on :
HDR
Flowers
Kerala
About me
ALL
(slide show)
‹
›
×
×


For example, use md:font-bold
to apply the font-bold
utility at only medium screen sizes and above.
For more information about Tailwind's responsive design features, check out the Responsive Design documentation.
The quick brown fox jumped over the lazy dog.
The quick brown fox jumped over the lazy dog.
The quick brown fox jumped over the lazy dog.
The quick brown fox jumped over the lazy dog.
The quick brown fox jumped over the lazy dog.
Hover
To control the font weight of an element on hover, add the hover:
prefix to any existing style and decoration utility. For example, use hover:font-bold
to apply the font-bold
utility on hover.

Hover over this link

Hover utilities can also be combined with responsive utilities by adding the responsive {screen}:
prefix before the hover:
prefix.
Link
Focus
To control the font weight of an element on focus, add the focus:
prefix to any existing style and decoration utility. For example, use focus:font-bold
to apply the font-bold
utility on focus.
<input class="font-normal focus:font-bold ..." value="Focus me">
Focus utilities can also be combined with responsive utilities by adding the responsive {screen}:
prefix before the focus:
prefix.
<input class="... md:font-normal md:focus:font-bold ..." value="Focus me">
Customizing
Responsive and State Variants
By default, only responsive, hover and focus variants are generated for font weight utilities.
You can control which variants are generated for the font weight utilities by modifying the fontWeights
property in the modules
section of your Tailwind config file.
For example, this config will also generate variants:
Disabling
If you don't plan to use the font weight utilities in your project, you can disable them entirely by setting the fontWeights
property to false
in the modules
section of your config file:


CyclesCameraSettings(PropertyGroup)¶
base classes — bpy_struct
, PropertyGroup
-
class
bpy.types.
CyclesCameraSettings
(PropertyGroup)¶ -
aperture_blades
¶ Number of blades in aperture for polygonal bokeh (at least 3)
Type: int in [0, 100], default 0
-
aperture_fstop
¶ F-stop ratio (lower numbers give more defocus, higher numbers give a sharper image)
Type: float in [0, inf], default 5.6
-
aperture_ratio
¶ Distortion to simulate anamorphic lens bokeh
Type: float in [0.01, inf], default 1.0
-
aperture_rotation
¶ Rotation of blades in aperture
Type: float in [-inf, inf], default 0.0
-
aperture_size
¶ Radius of the aperture for depth of field (higher values give more defocus)
Type: float in [0, inf], default 0.0
-
aperture_type
¶ Use f-stop number or aperture radius
RADIUS
Radius, Directly change the size of the aperture.FSTOP
F-stop, Change the size of the aperture by f-stop.
Type: enum in [‘RADIUS’, ‘FSTOP’], default ‘RADIUS’
-
fisheye_fov
¶ Field of view for the fisheye lens
Type: float in [0.1745, 31.4159], default 3.14159
-
fisheye_lens
¶ Lens focal length (mm)
Type: float in [0.01, 100], default 10.5
-
latitude_max
¶ Maximum latitude (vertical angle) for the equirectangular lens
Type: float in [-1.5708, 1.5708], default 1.5708
-
latitude_min
¶ Minimum latitude (vertical angle) for the equirectangular lens
Type: float in [-1.5708, 1.5708], default -1.5708
-
longitude_max
¶ Maximum longitude (horizontal angle) for the equirectangular lens
Type: float in [-3.14159, 3.14159], default 3.14159
-
longitude_min
¶ Minimum longitude (horizontal angle) for the equirectangular lens
Type: float in [-3.14159, 3.14159], default -3.14159
-
panorama_type
¶ Distortion to use for the calculation
EQUIRECTANGULAR
Equirectangular, Render the scene with a spherical camera, also known as Lat Long panorama.FISHEYE_EQUIDISTANT
Fisheye Equidistant, Ideal for fulldomes, ignore the sensor dimensions.FISHEYE_EQUISOLID
Fisheye Equisolid, Similar to most fisheye modern lens, takes sensor dimensions into consideration.MIRRORBALL
Mirror Ball, Uses the mirror ball mapping.
Type: enum in [‘EQUIRECTANGULAR’, ‘FISHEYE_EQUIDISTANT’, ‘FISHEYE_EQUISOLID’, ‘MIRRORBALL’], default ‘FISHEYE_EQUISOLID’
-
Inherited Properties
Inherited Functions
References


Acer Swift 5 Malaysia: Everything you need to know
by Nic KerThe Acer Swift 5 was announced during the next@Acer 2019 global press conference recently, and the 14″ notebook—which Acer once touted as the world’s lightest 14″ laptop—has now been launched in Malaysia.
Here’s everything you need know.
Price & availability
The Acer Swift 5 is now available at all Acer Concept Stores and Acer Official Online Stores, as well as authorised retailers now for a starting price of RM3,699. There are 4 variants available in Malaysia, with options of either 8GB (16GB for range-topping variant) of onboard LPDDR4 memory. Meanwhile, graphics options include Intel UHD Graphics (SF514-54T-50GD/SF512-54T-52AS), Nvidia MX250 (SF514-54GT-512N), and Intel Iris Plus Graphics (SF514-54T-70AA) for the top-end variant.
All 4 variants come with a 512GB PCIe SSD for storage, along with Windows 10 Home. There are 2 colour options: Moonstone White and Charcoal Blue.
The various configurations, along with relevant pricing, is as follows:
SF514-54T-50GD (Intel Core i5-1035G1) – RM3,699
SF512-54T-52AS (Intel Core i5-1035G1) – RM3,699
SF514-54GT-512N (Intel Core i5-1035G1) – RM3,999
SF514-54T-70AA (Intel Core i7-1065G7) – RM4,699
The first 5 units of any model purchased at any of the above stores will receive a Mi True Wireless Earbud Basic, while purchasers of models worth between RM3,000 to RM5,299 will be entitled to a Predator waterproof bag, a Predator Cestus 310 gaming mouse, or Acer E300 true harmony earphones (these free gifts can be redeemed here).
Specs
The new Acer Swift 5 runs on the latest 10th Gen Intel Core processors, and comes packed with up to Nvidia GeForce MX250 graphics. At just 990 grams, the Swift 5 has a thickness of 14.95mm—this weight is made possible by a combination of magnesium-lithium and magnesium-aluminium alloys for greater weight reduction.
For its display, the Swift 5 has a 14″ Full HD IPS touch-screen that boasts a screen-to-body ratio of 86.4%, along with narrow bezels measuring at just 3.97mm. Configurations go up to the Intel Core i7-1065G7 (U-Series) and a maximum of 512GB PCIe Gen 3×4 SSD storage.
Sustaining the device is a battery that, according to Acer, gets you up to 12.5 hours on a single chNNarge. Fast charge is supported, and 30 minutes of charging will get you 4.5 hours of usage, according to the manufacturer.
You’re also looking at dual-band WiFi 6 (802.11ax) and Thunderbolt 3 via USB-C. Addressing accessibility and security in one go, the Swift 5 also supports Windows Hello with a built-in fingerprint scanner.


- receiveUpdate(String, Object[]) - Method in class Main.WizardRoyale
-
- recoilTimer - Static variable in class Main.MouseInput
-
- removeNetworkListener(NetworkListener) - Method in class networking.backend.SchoolClient
-
- removeNetworkListener(NetworkListener) - Method in class networking.backend.SchoolServer
-
- removeObject(GameObject) - Method in class Main.Handler
-
removes a game object from the list of game objects
- render(Graphics) - Method in class GameElements.Consumable
-
Continually draws the consumable object onto the game canvas
- render(Graphics) - Method in class GameElements.GameObject
-
Abstract shell for the render method, which will handle drawing the GameObject
- render(Graphics) - Method in class GameElements.Player
-
Constantly updates the graphics of the player
- render(Graphics) - Method in class GameElements.Projectile
-
Continually draws the projectile
- render(Graphics) - Method in class GameElements.Tile
-
Continually draws the walls
- render(Graphics) - Method in class Main.Handler
-
Shifts through every GameObject currently in the game, and calls the render method in order to constantly draw the object in case
changes have been made to it
- render(Graphics) - Method in class Main.InstructionsPanel
-
Method that draws the graphics for the instructions to the game
- render(Graphics) - Method in class Main.MainMenuPanel
-
Draws all the images on the main menu screen
- render(Graphics) - Method in class Main.WinScreenPanel
-
Draws everything on the win screen panel
- repeatMessage(NetworkDataObject) - Method in class networking.backend.SchoolServer
-
- run() - Method in class Main.WizardRoyale
-
Method that is called after the thread for the game has been started.
- run() - Method in class networking.backend.ClientReader
-
- run() - Method in class networking.backend.ClientWriter
-
- rxExceptionHandler - Variable in class networking.backend.PeerDiscovery
-
Redefine this to be notified of exceptions on the listen thread.


Upload successful
An attorney will contact you within {{ num_days }} day{{ num_days|pluralize }}.
If you are not contacted within {{ num_days }} day{{ num_days|pluralize }}, look up your case for more information.
An attorney will contact you within {{ num_days }} day{{ num_days|pluralize }}.
If you are not contacted within {{ num_days }} day{{ num_days|pluralize }}, look up your case for more information.


welcome to our store, here we get to serve you the best.
This is a food store that caters for those who requires instant food delivery which is still fresh and blazing hot.
Our foods are prepared by one of the best chefs in Kenya and are packed with care and without preservatives.im
Food delivery
outside catering
bakery
traditional delicacies
modern delicacies


R is a statistical programming language widely used in the data science field.
R provides a record of your analysis
R uses scripts to record which steps you take during your analysis. Although this might initially take longer to learn than pointing and clicking your way through some other software, it makes it much easier to go back to your analysis in the future and re-do or adjust it, if needed. An added benefit is that it enables you to make comments as to why you’ve done certain steps in your analysis.
Reproducibility
It’s the latest buzz-word in science and for good reason! Using R to record every step of your analysis and linking this to the original raw data that you used to do the analysis allows people to reproduce your work. This may very well be your future self!
This kind of record also enables other people to decide for themselves if the choices you’ve made in the analysis are reasonable and allows them (and yourself) to spot any mistakes.
For those of you who work in academia there is an added advantage. An increasing number of journals and funding bodies now require you to deposit your raw data and the analysis that led to your conclusions. Knowing how to use R can really be a benefit here.
Even news agencies, such as the BBC Shared Data Unit now make the underlying analysis of many of their news items available, many of which are performed in R. With the onset of “fake news”, more and more people are expecting transparency!
When opening RStudio you’re greeted with the following screen (note that this may look different on your computer, depending on your operating system and colour scheme):
There are three panels visible at this stage, clock-wise:
A bit more about the console. Although it can be useful to execute code directly (in the case of one-off actions, such as the installation of packages) you will want to save your code most of the time so you can share it or refer back to it later. In that case it’s good to start a script to write the code in.
To start a new script go to File -> New File -> R Script
. Your new screen will look something like this, with a new panel appearing in the top right corner:
You might have noticed that the bottom right panel contains five different tabs, one of which is called Files
. In our example it shows the current working directory. The concept of a working directory is very important one. When we’re working on a project, it is good practice to keep all the data, scripts, images and any other files contained in a single folder. This single folder we call the working directory and it allows us to use relative paths in scripts as opposed to absolute paths.
Relative path: data/raw/gapminder.csv
Absolute path: C:/Users/Admin/Documents/R/Projects/2020_example/data/raw/gapminder.csv
The beauty of using relative paths is that you can move the working directory folder to any location you like and all the references and links in the scripts will continue to work. Hard coding absolute paths is always a bad idea because it makes it much harder to share your code because it is all linked to a specific directory on your computer.
Apart from using a working directory it also pays off to think about how to organise your files within it. In this example the working directory is called 2020_example
and it contains several other directories to organise our files:
data
folder contains a raw
and processed
sub-folder. This is often a good idea, because you want to make sure you never overwrite your original, raw data. Any analyses can always be repeated (save your script!) and the output of them can go into the processed
data folder.documents
folder contains documents that are relevant to the project.figures
folder can contain sub-folders to separate quick exploratory plots and publication-quaility figures.notebooks
folder can contain your R Markdown files in which you explore your data in detail.scripts
folder contains all the scripts used in the final analyses. It often helps to order them and name them consistently, such as 01-read_data.R
, 02-clean_data.R
, 03-exploratory_analysis.R
etc. It’ll save you a lot of headache when trying to find things back in the future!The working directory also contains a file named 2020_example.Rproj
. This is a file that is created by RStudio and when you open that it automatically opens RStudio in a new session and sets the working directory to where this Rproj
file is located. Useful! To create your own R project, go to File -> New Project
.
Note: You can create new directories by clicking on the
New Folder
button or by creating them directly in your file browser.It is good practice to avoid any spaces in your directory names because these names can create issues when used in code. Instead, you can use the underscore.
R is also case-sensitive, so be consistent in your use of uppercase and lowercase. I personally use lowercase exclusively because it’s one less thing to think about!
Making your data reproducible also involves thinking about where to store your data. We will look more closely into GitHub later, but for now it’s suffice to say that you can use GitHub to easily share your analyses, which can also include the data itself.
Below is an example of a data set that is available on the GitHub repository for this course.
This works well if your data sets are not too large, but depending on your research you might soon find it becomes limiting. There are online repositories for all kinds of data, such as GenBank for genetic sequences, ENA for various sequencing information etc.
These repositories keep your data available and provide a fixed, unique URL to your data that you can use within your scripts.
When publishing your research journals will usually require a link to all the data. If you’re a researcher at Cambridge University you can use Apollo. This is the University’s online repository and takes all kind of types of data, enabling you to keep all your data in one place.
There are plenty more repositories to choose from and the main things to keep in mind are accessibility and stability. Can people access your data freely and are the data likely be in the same place in 10 years time?
Some might have completed the Introduction to R for Biologists course at the University. If so, you will have come across the concept of data exploration workflow.
When you are working on a project that requires data analysis, you will normally need to perform the following steps:
More information on this workflow can be found in the R for Data Science book. Let’s briefly go over each step:
gapminder
data set the country
column specifies the country, using a capital letter at the start. A common problem in data sets is inconsistent capitalisation. For example, here Austria would be different to austria, since R is case-sensitive. During the tidying stage it is important to make the dataset consistent and much as possible so that you can focus on the questions you are trying to solve in your analysis.All these stages in the data exploration workflow can be achieved by programming in R. In this course we will focus on the communicate aspect of the workflow. And for that we need to turn to RMarkdown.


This guide aims to cover some common questions, concerns and pitfalls you may encounter when deploying Horizon in a production environment.
See also
Note
The Service Catalog returned by the Identity Service after a user has successfully authenticated determines the dashboards and panels that will be available within the OpenStack Dashboard. If you are not seeing a particular service you expected (e.g. Object Storage/Swift or Networking/Neutron) make sure your Service Catalog is configured correctly.
Prior to the Essex release of Horizon these features were controlled by individual settings in the local_settings.py file. This code has been long-since removed and those pre-Essex settings have no impact now.
The one thing you must do in order to run Horizon is to specify the host for your OpenStack Identity Service endpoint. To do this, set the value of the OPENSTACK_HOST settings in your local_settings.py file.
Logging is an important concern for production deployments, and the intricacies of good logging configuration go far beyond what can be covered here. However there are a few points worth noting about the logging included with Horizon, how to customize it, and where other components may take over:
Warning
At this time there is a known bug in python-keystoneclient where it will log the complete request body of any request sent to Keystone through it (including logging passwords in plain text) when the log level is set to "DEBUG". If this behavior is not desired, make sure your log level is "INFO" or higher.
Horizon allows users to upload files via their web browser to other OpenStack services such as Glance and Swift. Files uploaded through this mechanism are first stored on the Horizon server before being forwarded on - files are not uploaded directly or streamed as Horizon receives them. As Horizon itself does not impose any restrictions on the size of file uploads, production deployments will want to consider configuring their server hosting the Horizon application to enforce such a limit to prevent large uploads exhausting system resources and disrupting services. Deployments using Apache2 can use the LimitRequestBody directive to achieve this.
Uploads to the Glance image store service tend to be particularly large - in the order of hundreds of megabytes to multiple gigabytes. Deployments are able to disable local image uploads through Horizon by setting HORIZON_IMAGES_ALLOW_UPLOAD to False in your local_settings.py file.
Note
This will not disable image creation altogether, as this setting does not affect images created by specifying an image location (URL) as the image source.
Horizon uses Django’s sessions framework for handling user session data; however that’s not the end of the story. There are numerous session backends available, which are controlled through the SESSION_ENGINE setting in your local_settings.py file. What follows is a quick discussion of the pros and cons of each of the common options as they pertain to deploying Horizon specifically.
Enabled by:
SESSION_ENGINE = 'django.contrib.sessions.backends.cache'
CACHES = {
'BACKEND': 'django.core.cache.backends.locmem.LocMemCache'
}
Local memory storage is the quickest and easiest session backend to set up, as it has no external dependencies whatsoever. However, it has two significant drawbacks:
- No shared storage across processes or workers.
- No persistence after a process terminates.
The local memory backend is enabled as the default for Horizon solely because it has no dependencies. It is not recommended for production use, or even for serious development work. For better options, read on.
Enabled by:
SESSION_ENGINE = 'django.contrib.sessions.backends.cache'
CACHES = {
'BACKEND': 'django.core.cache.backends.memcached.MemcachedCache'
'LOCATION': 'my_memcached_host:11211',
}
External caching using an application such as memcached offers persistence and shared storage, and can be very useful for small-scale deployment and/or development. However, for distributed and high-availability scenarios memcached has inherent problems which are beyond the scope of this documentation.
Memcached is an extremely fast and efficient cache backend for cases where it fits the deployment need. But it’s not appropriate for all scenarios.
Requirements:
- Memcached service running and accessible.
- Python memcached module installed.
Enabled by:
SESSION_ENGINE = 'django.core.cache.backends.db.DatabaseCache'
DATABASES = {
'default': {
# Database configuration here
}
}
Database-backed sessions are scalable (using an appropriate database strategy), persistent, and can be made high-concurrency and highly-available.
The downside to this approach is that database-backed sessions are one of the slower session storages, and incur a high overhead under heavy usage. Proper configuration of your database deployment can also be a substantial undertaking and is far beyond the scope of this documentation.
To mitigate the performance issues of database queries, you can also consider using Django’s cached_db session backend which utilizes both your database and caching infrastructure to perform write-through caching and efficient retrieval. You can enable this hybrid setting by configuring both your database and cache as discussed above and then using:
SESSION_ENGINE = "django.contrib.sessions.backends.cached_db"
signed_cookies is a session backend that is available to you which avoids server load and scaling problems.
This backend stores session data in a cookie which is stored by the user’s browser. The backend uses a cryptographic signing technique to ensure session data is not tampered with during transport (this is not the same as encryption, session data is still readable by an attacker).
The pros of this session engine are that it doesn’t require any additional dependencies or infrastructure overhead, and it scales indefinitely as long as the quantity of session data being stored fits into a normal cookie.
The biggest downside is that it places session data into storage on the user’s machine and transports it over the wire. It also limits the quantity of session data which can be stored.
For a thorough discussion of the security implications of this session backend, please read the Django documentation on cookie-based sessions.
When implementing Horizon for public usage, with the website served through HTTPS, it is recommended that the following settings are applied.
To help protect the session cookies from cross-site scripting, add the following to local_settings.py:
CSRF_COOKIE_HTTPONLY = True
SESSION_COOKIE_HTTPONLY = True
Client-side JavaScript will not be able to access the cookie if this set to True. Note that the HTTPOnly is a flag included in Set-Cookie HTTP response header and is not honored consistently by all browsers.
Additionally, adding the following flags to local_settings.py marks the cookies as secure, which ensures that the cookie is only sent under an HTTPS connection:
CSRF_COOKIE_SECURE = True
SESSION_COOKIE_SECURE = True
You can also disable browser autocompletion for the authentication form by modifying the HORIZON_CONFIG dictionary in local_settings.py by adding the key password_autocomplete with the value off as shown here:
HORIZON_CONFIG = {
...
'password_autocomplete': 'off',
}


My name is Donald
I live in Ducksburg
Note: For this selector to work in IE8, a DOCTYPE must be declared, and you must use the old, single-colon CSS2 syntax (:before instead of ::before).


When a database is first created, it does not contain anything except the system catalog; before it can be used to store data, data objects such as tables, views, and indexes must be defined. And before new data objects can be defined (or anything else can be done with the database, for that matter), a connection to the database must be established. In most cases, a database connection will be established automatically if the Control Center is used to create data objects and work with data. If the Command Line Processor is used instead, a database connection can be established by executing the CONNECT SQL statement. The basic syntax for this statement is:
CONNECT <TO [ServerName]> <IN SHARE MODE | IN EXCLUSIVE MODE> <USER [UserID] USING [Password]> <NEW PASSWORD [NewPassword] CONFIRM [NewPassword]>
or
CONNECT <USER [UserID] USING [Password]> <NEW PASSWORD [NewPassword] CONFIRM [NewPassword]>
where:
|
ServerName |
Identifies the name assigned to the application server a connection is to be established with. (A database alias is often used to identify an application server.) |
|
UserID |
Identifies the authentication ID (or user ID) assigned to the user attempting to establish the database connection. |
|
Password |
Identifies the password assigned to the user trying to establish the database connection. (It is important to note that passwords are case sensitive.) |
|
NewPassword |
Identifies the new password the user trying to establish the database connection wishes to have associated with his/her authentication ID. |
Thus, in order for a user whose authentication ID is DB2USER and whose password is IBMDB2 to establish a connection to a database named SAMPLE, a CONNECT statement that looks something like this would need to be executed:
CONNECT TO sample USER db2user USING ibmdb2
And as soon as the CONNECT statement is successfully executed, you might see a message that looks something like this:
Database Connection Information Database server = DB2/NT 9.1.0 SQL authorization ID = DB2USER Local database alias = SAMPLE
| Tip |
The CONNECT statement can be executed without specifying a user ID and password (since these are optional parameters). When the CONNECT statement is executed without this information, the DB2 Database Manager will either attempt to use the user ID and password you provided to gain access to the system or prompt you for this information. Such a connect operation is called an implicit connect, as it is implied that the credentials of the current user are to be used; on the other hand, when a user ID and password are specified, the connect operation is called an explicit connect, because the required user credentials have been explicitly provided. |
Once a database connection has been established, it will remain in effect until it is explicitly terminated or until the application that established the connection ends. Database connections can be explicitly terminated at any time by executing a special form of the CONNECT statement. The syntax for this form of the CONNECT statement is:
CONNECT RESET


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/rcases.20with.20false.html ---
Can I do rcases
on p \or false
and end up with one state where we know p
?
Well rcases t with t'|⟨⟨⟩⟩
seems to work but I don't know if I would really advise it
would @Mario Carneiro advise it?
That looks like something I would do
I'm sure or_false
is a lemma. Use that.
yes. but this is just a minimal example.
I would advise it; if you search for that (with spaces around the |
) you will find me use it in several places
Last updated: Apr 24 2020 at 19:02 UTC


Affirmations⁺ Daily Motivation & Happy Thoughts
Android, iOS, and web app. Developed in Flutter.
2021 September Get it on Google PlayBrighten up a dark image.
Custom loss function which incorporates feature loss, along with gram loss.
2019 March View ProjectA classifier that learns to classify any image without being explicitly programmed. The project is deployed and publicly accessible.
Testing the Style-Based Generator Architecture for Generative Adversarial Networks by Nvidia
Personalized movie recommendations system on the MovieLens 20M dataset and my IMDb movie ratings.
For example, Estonia has the longest-paid maternity leave in the world.
DummyHacker.com
An easy tool for deploying and hosting python scripts using AWS lambdas and serverless technology.
2018 October
Visit websiteStarship Animal Rescue.
The goal was to build a robot that anonymously drives around, search for specific animals and takes photos of them.
2017 November
View VideoFixed 3D game.
The spaceship is navigated with phone movements. Tilt phone to right and the spaceship tilts and turns to the right.
Made with Unity game engine.
2016 March
Simple and beautiful browser for all the movies with good torrents.
2016 January
View Project


no he means the Navigation -> More -> Battlefield 3 Weapon Comparison list, which was listed long time ago on the battlelog website too...
Post edited 1 x times, last by
BrainFooLong
Administrator
BrainFooLong
Administrator
ORFK wrote:
no he means the Navigation -> More -> Battlefield 3 Weapon Comparison list, which was listed long time ago on the battlelog website too...
Ah, nope that's not correct. It is still there but because of the weapon spread error the whole page is buggy.
There's also missing the sight videos and the fast weapon switch.
Topicstarter
mCarcass-n-MAC
ahh! yes!
So it's still integrated – but because of that bug – "Sights" and "Weapon Comparison" is currently M.I.A.
Well, good luck with fixing it! Really like that feature!


Found -- A LOST CEMETERY, but what is the name
and who is buried there???
You may be able to help
solve a mystery that is now confronting the Monroe County Chapter of the Ohio
Genealogy Society (MCC of OGS)
The other day a neighbor
took me to a cemetery on Pea Vine Ridge in Green Township, Monroe County, Ohio.
The MCC of OGS had no previous record of this cemetery in their extensive list
of cemeteries in Monroe County. So, at the moment, we still do not know the
name of the cemetery of who is buried there. The owners of the land on which
the cemetery is located cut down the overgrowth of trees and cleared the area
last year. But by this year, the weeds and brush have again grown up enough to
make a search for stones extremely difficult. I was able to see a couple of
stones but couldn't get to them.
One stone that I did manage to read was Abraham Matthess died Sep 25, 1858. The
stone had sunken into the ground making the date of death difficult to read but
1858 is what it looked like. Another head-stone read William H. son of -----. I
couldn't get close enough to make out the rest of the inscription. The owner of
the land said that they had found about 20 stones last year. It is not clear
whether that count might have included foot-stone. From my discussion with the
land owner, it did not sound like many of the head-stones are legible.
The cemetery is on land that was formerly known as the Straight property. It is
now owned by the Kerns family.
If you recognize any of
these names or know anything about this cemetery, especially the cemetery name,
would you please pass your information along to Karen Romick, at one of the
following addresses: e-mail at Karen Romick or by letter at postal address MCC of OGS, P.O. Box 641 Woodsfield, OH
43793.
We will post any additional
information that we get about this lost -- but-now-found cemetery. Your help
would be greatly appreciated.
Your help is needed to
solve this mystery!
Click here for the Short-Cut Table of Contents


Anywhere
?
- show this modal
0
- reset zoom
-
- zoom out one level
+
- previous zoom
g
c
- color by gem
g
m
- color by method
f
c
- clear existing filters
f
r
- restore previous filters
Hover Over Graph Frame
a
- animate frames of same method to blink, toggles on/off
z
- zoom to frame
b
- backtrace of frame
p
- copy file path of frame into clipboard
Hover Over Gem or Method Listing
a
- animate the highlighted frames to blink, toggles on/off
z
- zoom to frame with most samples in self
b
- backtrace of frame with most samples in self
p
- copy file path of frame with most samples into clipboard
f
i
- add/remove from include filter
f
e
- add/remove from exclude filter


About Me
I've had many interests over the years… My first experience with programming was with GeoProgrammer (and 8086 Assembly Language) for the Commodore 64 in the late 80s, followed by Visual Basic 3.0 and 4.0 for the PC in the mid-90's.
I had my own website starting back in the mid-90s, when CSS and JavaScript were new-fangled things that nobody really used yet, and everything was styled with HTML tags. Some of the projects listed on my Projects page are things that were once on that website, and hopefully will be on a new website in the future.
For most of this century I've been working in the public sector, as a little piece of a big government (currently at the California Department of Social Services), but I'm open to other opportunities as they come up.


Check that you have Python 2.7 installed. Type
% python
at the terminal. If you get something like this
Python 2.7.5 (default, Aug 1 2013, 01:01:17)
[GCC 4.2.1 Compatible Apple Clang 4.1 ((tags/Apple/clang-421.11.66))] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>>
then you are good to go. Otherwise, install Python 2.7 using these instructions.


pyqual
Tests
Users
Databases
Logs
x
Attention!
You must enable javascript for this app to work.
x
Attention!
Woah, buddy!
Delete
Add
ID
Name
Schedule
Last Run
Database
Delete
Add
Delete
Add
ID
Name
Username
Host
Active
Delete
Add
Delete
Add
ID
Username
E-mail
Delete
Add
RSS
ID
Type
Test
Message
When
Notified
x
Test
x
Attention!
Woah, buddy!
Name
Schedule
Database
Type
Owner
CC
Comma-separated E-mail addresses to notify of test results.
Fail on no query results
SQL
Python
Data returned by the query will be in the
data
variable. For a test to pass, it should set
result
to
True
.
x
User
x
Attention!
Woah, buddy!
Username
E-mail
Password
Confirm
x
Database
x
Attention!
Woah, buddy!
Name
Username
Password
Confirm
Hostname
Port
Version {{ version }} :: Copyright © 2012 Mike Shultz


--- title: "Swimming Pool Light Fixtures, Pool Lights | Swimming and Spa Lighting, LED Par56 Housing, Pulling A Light Fixture Out Of The Swimming Pool" description: "LED PAR56 HOUSING 1.Made of stainless steel, PPT plastic or aluminum die cast lamp body 2.Temperature-resistant silicon sealed ring 3.Toughened safety glass 4.Cable glands, nickel-plated brass 5.IP68 for a water depth up to 1m or 3m differ from different items. Application: Suitable for swimming pool, aquarium, fountains, etc." keywords: - Swimming Pool Light Fixtures - "Pool Lights | Swimming and Spa Lighting" - LED Par56 Housing - Pulling A Light Fixture Out Of The Swimming Pool ---
|
LED PAR56 HOUSING |
|||||||||||
| ITEM MODEL: LPH-C | |||||||||||
|
|||||||||||
|
1.Made of stainless steel, PPT plastic or aluminum die cast lamp body
2.Temperature-resistant silicon sealed ring 3.Toughened safety glass 4.Cable glands, nickel-plated brass 5.IP68 for a water depth up to 1m or 3m differ from different items. Application: Suitable for swimming pool, aquarium, fountains, etc. |


{% load static %}
Instacart is a same-day grocery delivery service that can save yourself that trip to the market.
Search for any products and we will provide the best recommendation for you.
| # | Bundle | Frequency |
|---|---|---|
| {{ i }} | {{ bundle.firstproduct }} + {{ bundle.secondproduct }} | {{ bundle.frequency }} |


Thai Ridgeback
| Thai Ridgeback Picture | |
| Breed Information | |
|---|---|
| Popularity | # |
| Name | Thai Ridgeback |
| Other names | Mah Thai, Thai Dog, Mah Thai Lung Arn |
| Origin | Thailand |
| Breed Group | HoundSighthound & Pariah (UKC) |
| Size | Medium |
| Type | Purebred |
| Life span | 11-13 years |
| Temperament | FamilialIndependentIntelligentLovingLoyalProtective |
| Height | Male: 22-24 inches (56-60 cm)Female: 20-22 inches (51-56 cm) |
| Weight | 51-75 pounds (23-34 kg) |
| Colors | BlackBlueBrindleBrownRedWhite |
| Litter Size | 4-5 puppies |
| Puppy Price | Average $600 - $800 USD |
| Breed Characteristics | |
| Adaptability | 5 stars |
| Apartment Friendly | 3 starsThai Ridgebacks will do okay in an apartment if it sufficiently exercised. These dogs prefer warm climates and cannot withstand the cold. |
| Barking Tendencies | 2 starsOccassional |
| Cat Friendly | 1 stars |
| Child Friendly | 4 starsGood with Kids: This is a suitable breed for kids and is known to be playful, energetic, and affectionate around them. |
| Dog Friendly | 2 stars |
| Exercise Needs | 4 starsThis breed should get plenty of exercise, including a daily, long walk. |
| Grooming | 1 starsLow Maintenance: The Thai Ridgeback has a short coat that is easily cared for with a weekly brushing. Use a rubber curry brush to keep it gleaming. He sheds year-round, but not heavily. Give him a bath when he is dirty, maybe once or twice a year. |
| Health Issues | 2 starsHypoallergenic: No |
| Intelligence | 3 starsRanking: (#). (See All Rankings) |
| Playfulness | 3 stars |
| Shedding Level | 3 starsModerate Shedding: Routine brushing will help. Be prepared to vacuum often! |
| Stranger Friendly | 1 stars |
| Trainability | 2 starsThe intelligence and obedience of the Thai Ridgeback makes training a straightforward task, but it requires a dominant owner due to its independent nature and wild streak. Obedience training when young is highly recommended. |
| Watchdog Ability | 2 stars |
| Thai Ridgeback Puppy Picture | ||
| Puppy Names | ||
|---|---|---|
| Rank | Male | Female |
| 01 | Buddy | Molly |
| 02 | Cooper | Bella |
| 03 | Teddy | Coco |
| 04 | Jack | Ellie |
| 05 | Milo | Abbie |
| 06 | Tucker | Ellie |
| 07 | Dexter | Zoey |
| 08 | Cody | Stella |
| 09 | Henry | Nala |
| 10 | Bailey | Annie |
| See All Names › |
| Overview |
|---|
|
The Thai Ridgeback is a medium-sized pariah-type dog, with a wedge-shaped head, prick ears, and a short, smooth coat. The length of body from point of buttocks to point of sternum is about 10 percent longer than the height measured at the withers. The depth of chest is equal to the length of the foreleg. The tail is carried vertically or curved like a sickle. This breed is characterized by a ridge of hair growing in the opposite direction to the rest of the coat. This ridge starts at the withers and extends down the spine to the top of the pelvis bones. Until recently the Thai Ridgeback was relatively unknown outside of eastern Thailand and is very rare elsewhere. This breed is a good watch, guard and hunting dog, but also makes a nice companion. Tough and active with excellent jumping ability. It is a very active and alert dog but also without socialization can be a bit aloof toward strangers. May be difficult to train. The Thai Ridgeback needs a dominant owner who understands the breed. One who has natural authority, in a firm but calm manner; confident and consistent with the rules placed upon the dog. A Thai’s owner that does not correct the dog at the proper times may find that the dog develops aggressive tendencies. With the right handler it is never too late to curb any unwanted behaviors once the owners learn how to properly treat the dog, along with providing the proper mental and physical exercise. |
| History |
| The origin of the Thai Ridgeback is unknown, but the breed developed in eastern Thailand, where the breed was kept pure by isolation. Descriptions of the breed can be found in written references dating back to the 17th century. The breed’s name comes from a ridge of hair that runs along the dog’s back, a trait found in only three breeds of purebred dogs. The Thai Ridgeback was used for hunting, and as a guard dog. Today the breed is still very rare outside of Thailand. The Thai Ridgeback was recognized by the United Kennel Club on January 20, 1996. |


Psalms 89:39
Thou hast made void the covenant of thy servant: thou hast profaned his crown by casting it to the ground.


{% from "macros.html" import top %} {% from "macros.html" import usual_head %}
Select a zipped archive to add to the database.
Pssst... If you want to update API-related data, that's done here.
{{ status_message }}


Come back soon !
Are you sure you want to say Goodbye?
or would you like to go back home?
Home Page
Home Page
Home Page


Test create Waiver of Liability (WOL) PDF
Begin Date of Service:
End Date of Service:
Enrollee Name:
Provider:
MedicaidId:
Signature:
Signature Date:


Despite difficult times, economy has stabilised, reiterates PM Imran
by https://www.dawn.com/authors/202/dawn-com, Dawn.comPrime Minister Imran Khan on Friday said that Pakistan's economy has stabilised despite the difficult time that the Pakistan Tehreek-i-Insaf (PTI) government went through during its first year in power.
Addressing the signing ceremony of Super-6 310-MW Wind Power Projects in Islamabad, the premier said: "Our first year was very difficult because there was a very large current account deficit."
He added that previously no government has had to face a current account deficit of $20 billion.
"The danger of this is that, at any time, it can put so much pressure on the rupee that the rupee starts to fall. We didn't have the foreign exchange to stop the rupee from falling."
Thanking his economic team, Prime Minister Imran said that today the economy has stabilised.
"Today without any support, instead of falling, our rupee is gaining. The stock market reflects the sentiment of the market, it has become positive."
He said that among the main indicators, current account deficit has fallen, exports are rising and investor confidence is increasing.
"So thank God our direction now is fine," the premier said. "Now we have to go forward from here [...] We have to run our economy."
At the outset of his address, the premier added that the route to China's success was its long term planning.
"When we asked them what their route to success was, there were other things, but the one thing that stood out was long term planning.
"Unfortunately we focus on short term planning," he added.
On Wednesday, the premier had said now that his economic team had "stabilised the economy", the government was focusing on creating job opportunities and facilitating investors.
Speaking at Sino-Pak Tire Manufacturing Joint Venture Signing Ceremony, Prime Minister Imran had said that the government's "next challenge" was to provide jobs to the people and, in order to create employment opportunities, the country needs investors to invest money.


cage package¶
Subpackages¶
- cage.cli package
- cage.scripts package
- Subpackages
- Submodules
- cage.scripts.chainsetup module
- cage.scripts.checkCalc module
- cage.scripts.dockingsetup module
- cage.scripts.edgelandscape module
- cage.scripts.edgesetup module
- cage.scripts.energyAnalysis module
- cage.scripts.facetLandscape module
- cage.scripts.facetsetup module
- cage.scripts.nebprep module
- cage.scripts.pathsetup module
- cage.scripts.process_output module
- cage.scripts.search_and_reboot module
- cage.scripts.testsuite module
- Module contents
- cage.tests package
Submodules¶
cage.core module¶
-
class
cage.core.
Cage
(species, coords, charge=0, spin_multiplicity=None, validate_proximity=False, site_properties=None)[source]¶ Bases:
pymatgen.core.structure.Molecule
A Cage is a pymatgen.Molecule-based object for molecules shaped similar to fullerenes.
-
anion_center
¶
-
append
(species, coords, validate_proximity=True, properties=None)[source]¶ Overwrite the append method of the Molecule class, in order to reset the facets, symmetry operations and point group after the site has been appended.
Note: Running this method will reset the facets and symmetry information to None.
Parameters: - species (pymatgen.Specie) – Species of inserted site.
- coords ((3,) numpy.ndarray) – Coordinates of inserted site.
- validate_proximity (bool) – Whether to check if inserted site is too close to an existing site. Defaults to True.
- properties (dict) – A dictionary of properties for the Site.
-
center
(point=None)[source]¶ Center the Cage around a point by updating the sites, i.e. find the coordinates for the sites so that the geometric center is on the point provided. In case no point is provided, the molecule is centered around the origin.
Note: Running this method will reset the facets and symmetry information to None.
Parameters: point ((3,) numpy.ndarray) – Point around which to center the molecule.
-
copy
()[source]¶ Convenience method to get a copy of the Cage. Overwritten from the Molecule class to conserve the charge of the molecule.
Returns: cage.core.Cage
-
facets
¶ Surface Facets of the Cage. Note that in case the surface facets have not been set up using find.surface.facets(), the property is equal to None.
Returns: - The surface facets of the Cage, as set up using
- find_surface_facets()
Return type: (List of Facets)
-
find_closest_facet
(point)[source]¶ Find the Facet of the Molecule that is the closest to the point provided.
Parameters: point ((3,) numpy.ndarray) – Point provided by user. Returns: (cage.Facet)
-
find_facet_links
(share_edge=False)[source]¶ Find the non-equivalent links between facets of the cage molecule. The facets can be connected by sharing an edge, or a site.
Parameters: - share_edge (bool) – Only return links between facets that
- an edge. (share) –
Returns: - (List of (cage.Facet, cage.Facet) Tuples) - The
non-equivalent facet links of the Cage.
-
find_farthest_facet
(point)[source]¶ Find the Facet of the Molecule that is the farthest away from the point provided.
Parameters: point ((3,) numpy.ndarray) – Point provided by user. Returns: (cage.Facet)
-
find_noneq_chain_links
(facets=<class 'tuple'>, symm_tol=0.01, verbose=False)[source]¶ Find the links between the facets of the chain that connects a set of non equivalent facets.
Parameters: - facets (tuple) – Tuple of Facets which are to be used for the chain. In case no facets are provided, the full list of non-equivalent facets will be used.
- symm_tol (float) – Tolerance for the equivalence condition, i.e. how much the distance between the centers is allowed to be after a symmetry operation.
- verbose (bool) – Print information about the analysis procedure. This is mainly useful when the result is not as expected.
Returns: - (List of (cage.Facet, cage.Facet) Tuples) –
The links between the Facets in the chain of non-equivalent Facets.
-
find_noneq_facet_chain
(start=0, facets=<class 'tuple'>, symm_tol=0.01, verbose=False)[source]¶ Construct a chain of facets, i.e. a collection of facets that are connected by edges. Automatically sorts the facets so they are connected by their neighbours in the list.
Parameters: - start (int) – Determines from which termination facet the chain is constructed. This might be useful if the chain is not constructed as the user would like.
- facets (tuple) – Tuple of Facets which are to be used for the chain. In case no facets are provided, the list of non-equivalent facets will be used.
- symm_tol (float) – Tolerance for the equivalence condition, i.e. how much the distance between the centers is allowed to be after a symmetry operation.
- verbose (bool) – Print information about the analysis procedure. This is mainly useful when the result is not as expected.
Returns: - (List of Facets) – A chain of facets connected by sharing an
edge.
-
find_noneq_facets
(tol=0.01)[source]¶ Find the nonequivalent facets of the Cage.
Parameters: tol (float) – Tolerance for the equivalence condition, i.e. how much the distance between the centers is allowed to be after a symmetry operation. Returns: A set of non-equivalent facets of the Cage. Return type: List of Facets
-
find_surface_facets
(ignore=())[source]¶ Find all the surface facets of the Cage object. A surface facet is defined as a facet for which all atoms of non-ignored species are on one side of the surface defined by the facet.
Currently does not expand the facets to 4 sites in case it finds other sites which are in the plane of the site, as defined by 3 site points.
Parameters: ignore (Tuple of Elements/Species) – The elements to ignore for the surface facet determination.
-
classmethod
from_molecule
(mol)[source]¶ Initializes a Cage from a Molecule.
Parameters: mol (pymatgen.Molecule) – The molecule from which to initialize the cage. Returns: (cage.Cage)
-
classmethod
from_poscar
(filename)[source]¶ Imports a Cage from a VASP POSCAR file.
Parameters: filename (string) – Filename of the POSCAR file. Returns: (cage.Cage)
-
insert
(index, species, coords, validate_proximity=True, properties=None)[source]¶ Overwrite the insert method of the Molecule class, in order to reset the facets, symmetry operations and point group after the site has been inserted.
Note: Running this method will reset the facets and symmetry information to None.
Parameters: - index (int) – Index to insert site.
- species (pymatgen.Specie) – Species of inserted site.
- coords ((3,) numpy.ndarray) – Coordinates of inserted site.
- validate_proximity (bool) – Whether to check if inserted site is too close to an existing site. Defaults to True.
- properties (dict) – A dictionary of properties for the Site.
-
pointgroup
¶ The Schoenflies PointGroup of the Cage molecule.
Returns: (pymatgen.symmetry.analyzer.PointGroup)
-
redefine_origin
(origin)[source]¶ Change the coordinates of the Cage, in order to redefine the origin.
Note: Running this method will reset the facets and symmetry information to None.
Parameters: origin ((3,) numpy.ndarray) – Origin coordinates.
-
set_up_facet_list
(fmt='dict', tol=0.01)[source]¶ Set up a List of the surface facets, and how they relate to the non-equivalent facets, i.e. which non-equivalent facet they can be related to and using which symmetry operation:
noneq_facet = symmop(facet)
Parameters: - fmt (str) –
Format of the Facet List. Can be either:
dict – A dictionary with the facets as keys and the tuple (noneq_facet, symmop) as the values.
- str_array – A structured array of type:
- [(‘surf_facet’, Facet), (‘noneq_facet’, Facet), (‘symmop’, SymmOp)]
- tol (float) – Tolerance for the equivalence condition, i.e. how much the distance between the centers is allowed to be after a symmetry operation.
Returns: - (List of cage.Facets) – The list of facets with their
corresponding non-equivalent facet and symmetry operation. See the fmt argument.
- fmt (str) –
-
symmops
¶ The symmetry operations of the Cage.
Returns: (List of pymatgen.Symmop)
-
visualize_facets
(filename, ignore=(), max_bond_length=1.9)[source]¶ Visualize the facets of the Cage by setting up a VESTA file with the various facets in different colours and with the corresponding index given to the atom, labeled ‘Fa’ placed at the center of the facet.
Parameters: filename (str) – Name of the VESTA file to be written.
-
-
class
cage.core.
Facet
(sites, normal=None)[source]¶ Bases:
pymatgen.core.structure.SiteCollection
,monty.json.MSONable
Facet of a Molecule object, defined by a list of Sites.
-
add_site
(site)[source]¶ Add a site to the facet. Will only work in case the site is in the surface defined by the facet.
Parameters: site (pymatgen.core.sites.Site) – The site that will be added to the facet.
-
angle_to_normal
(point)[source]¶ Find the angle between the vector that connects the center and the point and the normal.
Parameters: point (numpy.ndarray) – Coordinates of the point. Returns: Angle to the normal of the facet. Return type: (float)
-
center
¶ The center of the Facet. :return: Array of the center coordinates
-
classmethod
from_dict
(d)[source]¶ Initialize a Facet from a dictionary.
Parameters: d (dict) – Dictionary of the Facet properties, i.e. ‘sites’ and ‘normal’. Returns: (cage.Facet)
-
classmethod
from_file
(filename)[source]¶ Initialize a Facet from a file.
Currently only supports ‘json’ formats.
Parameters: filename (str) – File in which the Facet is stored. Returns: (cage.Facet)
-
classmethod
from_str
(input_string, fmt='json')[source]¶ Initialize a Facet from a string.
Currently only supports ‘json’ formats.
Parameters: - input_string (str) – String from which the Facet is initialized.
- fmt (str) – Format of the string representation.
Returns: (cage.Facet)
-
get_normal_intersection
(other)[source]¶ Find the intersection of the normal lines of the Facet and another one.
Currently only works on an edge sharing Facet whose normal intersects with the normal of the facet. In case the normals do not intersect, an approximation is given.
Parameters: other (cage.Facet) – Facet which shares an edge with this one. Returns: - (numpy.ndarray) – (3,) Numpy array of the intersection
- coordinates.
-
is_equivalent
(other, symmops, tol=0.01)[source]¶ Check if a Facet is equivalent to another Facet based on a list of symmetry operations.
Parameters: - other (cage.Facet) – Facet with which to compare the Facet.
- symmops (list) – List of pymatgen.Symmop instances which are used to determine equivalency.
- tol (float) – Tolerance for the equivalence condition, i.e. how much the distance between the centers is allowed to be after a symmetry operation.
Returns: - (bool) - Whether or not the facet is equivalent to the other
facet.
-
normal
¶ Surface normal of the Facet :return: Array of the normal vector
-
redefine_origin
(origin)[source]¶ Adjust the coordinates of the Facet, in order to redefine the origin.
Parameters: origin (numpy.ndarray) – (3,) Numpy array of the new origin’s coordinates.
-
sites
¶ The sites that define the Facet. :return: List of Sites
-
-
class
cage.core.
OccupiedCage
(species, coords, charge=0, spin_multiplicity=None, validate_proximity=False, site_properties=None)[source]¶ Bases:
cage.core.Cage
A Cage Molecule that has one or more cations docked on it.
-
CATIONS
= (Element Li, Element Na, Element K, Element Mg)¶
-
add_dock
(dock, cation=None, docking_point=None)[source]¶ Add a docking site to the OccupiedCage. If the chemical symbol of the cation is provided, the cation is appended to the OccupiedCage. In case the cation is equal to None, the cation is assumed to be present and the facet is simply designated as a dock.
Note: If a cation is appended to the molecule. running this method will reset the facets and symmetry information to None.
Parameters: - dock (cage.Facet) – The Facet on which the cation is docked.
- cation (str) – The chemical symbol of the cation element.
- docking_point ((3,) numpy.ndarray) – Docking coordinates of the cation.
-
center
(point=None)[source]¶ Center the OccupiedCage around a point by updating the sites, i.e. find the coordinates for the sites so that the geometric center of the anion is moved to the point provided. In case no point is provided, the anion is centered around the origin.
Note: Running this method will reset the facets and symmetry information to None.
Parameters: point ((3,) numpy.ndarray) – Point around which to center the molecule.
-
docks
¶
-
facets
¶ Surface Facets of the Cage. Note that in case the surface facets have not been set up using find.surface.facets(), the property is equal to None.
Returns: - The surface facets of the Cage, as set up using
- find_surface_facets()
Return type: (List of Facets)
-
find_surface_facets
(ignore=None)[source]¶ Find the surface facets of the OccupiedCage, minus the facets which have a docked cation.
Parameters: ignore (Tuple of Elements/Species) – The elements to ignore for the surface facet determination.
-
classmethod
from_cage_and_facets
(cage, facets, docking_points=(), cation='Li')[source]¶ Initialize an OccupiedCage from a Cage object and a tuple of facets.
Parameters: - cage (cage.Cage) – The anion on which the cations are docked.
- facets (tuple) – Tuple of cage.Facets on which the cations are docked.
- docking_points (tuple) – Tuple of (3,) numpy.ndarray coordinates that define the docking coordinates of the corresponding docking Facets.
- cation (str) – Chemical symbol of the cation. In case None is given, the docking sites are considered to already have a cation present.
Returns: (cage.OccupiedCage)
-
cage.landscape module¶
-
class
cage.landscape.
Landscape
(points)[source]¶ Bases:
monty.json.MSONable
A selection of points representing a line, area or volume.
-
center
¶ //cnn.com>`
Returns: - (3,) shaped array of the coordinates of the mathematical
- center of the points of the landscape.
Return type: numpy.array Type: Center of the points of the Landscape. `CNN <http
-
change_center
(center)[source]¶ Change the center of the landscape. This simply translates all the coordinates so the new mathematical center is the one provided by the user.
Parameters: center (3x1 numpy.array) – New center of the landscape.
-
classmethod
create_sphere
(radius, center=array([0, 0, 0]), axis=array([0, 0, 1]), density=15)[source]¶ Set up a spherical landscape with a specified radius.
Parameters: - radius (float) – Radius of the spherical landscape.
- center (3x1 numpy.array) – Coordinates of the center of the
- landscape. (spherical) –
- axis (3x1 numpy.array) – Rotational axis which is used to
- the landscape. (construct) –
- density (float) – Grid density of the landscape, provided in
- of grid points per radians. (number) –
Returns: Spherical Landscape object as specified by the user.
Return type:
-
extend_by_rotation
(axis, density=10.0, remove_endline=False, distance_tol=0.001)[source]¶ Extends the landscape using an axis vector and turning all the vertices in the landscape around the origin by a value and direction determined by the axis vector.
Parameters: - axis (numpy.ndarray) – Axis around which the landscape is
- The length of the vector determines the total rotation (rotated.) –
- in radians. (angle) –
- density (float) – Density of grid points along the rotation
- Defined in #grid points per radians. (angle.) –
- remove_endline (bool) – Include the final rotation angle grid
- points. –
- distance_tol (float) – Minimum distance between two points in
- landscape. (the) –
Returns: None
-
extend_by_translation
(vector, density=10)[source]¶ Extends the Landscape by translating the points along a certain vector.
Parameters: - vector (3x1 numpy.array) – Translation vector of the extension.
- density (float) – Density of the grid.
Returns:
-
extend_from_point
(point, extension, density=10)[source]¶ Extends the Landscape by scaling the points from a specific point or origin, i.e. by homothetic transformations.
Parameters: - point –
- extension –
- density –
Returns:
-
classmethod
from_file
(filename, fmt='json')[source]¶ Load a Landscape from a file.
Parameters: - filename –
- fmt –
Returns:
-
classmethod
from_vertices
(vertices, num=10)[source]¶ Define a landscape by providing the vertices (end points in the case of a line).
Parameters: - vertices –
- num –
Returns:
-
points
¶ All of the points of the Landscape.
Returns: List of 3x1 numpy.array coordinates of the points in the landscape. Return type: list
-
-
class
cage.landscape.
LandscapeAnalyzer
(data, datapoints=(), software='nwchem')[source]¶ Bases:
monty.json.MSONable
An analyzer class for interpreting data from calculations on a landscape.
-
analyze_cation_energies
(coordinates, reference=None, cation='Li')[source]¶ Extract the total energies for all the calculations, and connect them with the proper coordinates. Currently supports the following landscapes for analysis:
Interfacet wedges: 2D landscapes that connect two Facets via a wedge. Polar coordinates are used to plot this landscape, and the program needs a reference axis to determine an appropriate angle.
Spherical landscapes:
Returns:
-
data
¶
-
datapoints
¶
-
flip_coordinates
(coord_name)[source]¶ Flip the coordinate values for a chosen coordinate. :param coord_name: :return:
-
classmethod
from_data
(data_dir, output_file='result.out', software='nwchem')[source]¶ Looks through all subdirectories of the provided directory and extracts all output.
Parameters: - directory –
- output_file –
- software –
Returns:
-
classmethod
from_dict
(d)[source]¶ Initialize the LandscapeAnalyzer from a dictionary. :param d: :return:
-
classmethod
from_file
(filename, fmt='json')[source]¶ Initialize an instance of LandscapeAnalyzer from a file. :return:
-
plot_energies
(dimension, coordinates='polar', style='trisurf')[source]¶ Plot the energy landscape from the datapoints.
Parameters: - dimension –
- coordinates –
- style –
Returns:
-
software
¶
-
-
cage.landscape.
angle_between
(v1, v2)[source]¶ Returns the angle in radians between vectors ‘v1’ and ‘v2’:
-
cage.landscape.
perpendicular_part
(v1, v2)[source]¶ Returns the projection of v1 on the plane perpendicular to v2.
cage.path module¶
-
class
cage.path.
Path
(site_collections)[source]¶ Bases:
object
A Path is defined by a List of SiteCollections.
-
barrier
¶ Size of the energy barrier along the path. This is defined as the largest energy minus the initial energy. Expressed in eV.
Returns:
-
energies
¶ Type: return
-
classmethod
from_file
(filename, fmt='xyz')[source]¶ Read the path from the NwChem input.neb.xyz file.
Parameters: filename – Returns:
-
site_collections
¶ Type: return
-
cage.study module¶
-
class
cage.study.
Study
(structures, tasks, software='nwchem')[source]¶ Bases:
monty.json.MSONable
A Study is a List of Tasks which need to be performed on a List of Structures.
-
set_up_input
(directory, sort_comp=False, **kwargs)[source]¶ Set up all of the input files for the calculations and systems.
Parameters: directory – The full path to the directory where the calculation should be set up. :return:
-
software
¶
-
structures
¶
-
tasks
¶
-
cage.utils module¶
-
cage.utils.
angle_between
(v1, v2)[source]¶ Returns the angle in radians between vectors ‘v1’ and ‘v2’:
-
cage.utils.
distance
(coord1, coord2)[source]¶ Calculate the distance between two coordinates, defined by arrays. :param coord1: :param coord2: :return:
-
cage.utils.
schoenflies_to_hm
()[source]¶ Function for converting the Schoenflies point group symbol to the Hermann Manguin one. :return:


Gecode::Iter::Ranges::Map< I, M, true > Class Template Reference
Specialized mapping of ranges for strict maps. More...
#include <ranges-map.hpp>
Protected Attributes | |
| I | i |
| Input range iterator. | |
| M | m |
| Map object. | |
Constructors and initialization | |
|
| |
| Map (void) | |
| Default constructor. | |
| Map (I &i) | |
| Initialize with ranges from i. | |
| Map (I &i, const M &m) | |
| Initialize with ranges from i and map m. | |
| void | init (I &i) |
| Initialize with ranges from i. | |
| void | init (I &i, const M &m) |
| Initialize with ranges from i and map m. | |
Iteration control | |
|
| |
| bool | operator() (void) const |
| Test whether iterator is still at a range or done. | |
| void | operator++ (void) |
| Move iterator to next range (if possible). | |
Range access | |
|
| |
| int | min (void) const |
| Return smallest value of range. | |
| int | max (void) const |
| Return largest value of range. | |
| unsigned int | width (void) const |
| Return width of range (distance between minimum and maximum). |
Detailed Description
template<class I, class M>
class Gecode::Iter::Ranges::Map< I, M, true >
Specialized mapping of ranges for strict maps.
Definition at line 114 of file ranges-map.hpp.
Constructor & Destructor Documentation
| Gecode::Iter::Ranges::Map< I, M, true >::Map | ( | void | ) | [inline] |
Default constructor.
Definition at line 206 of file ranges-map.hpp.
| Gecode::Iter::Ranges::Map< I, M, true >::Map | ( | I & | i | ) | [inline] |
Initialize with ranges from i.
Definition at line 221 of file ranges-map.hpp.
| Gecode::Iter::Ranges::Map< I, M, true >::Map | ( | I & | i, | |
| const M & | m | |||
| ) | [inline] |
Initialize with ranges from i and map m.
Definition at line 224 of file ranges-map.hpp.
Member Function Documentation
| void Gecode::Iter::Ranges::Map< I, M, true >::init | ( | I & | i | ) | [inline] |
Initialize with ranges from i.
Definition at line 210 of file ranges-map.hpp.
| void Gecode::Iter::Ranges::Map< I, M, true >::init | ( | I & | i, | |
| const M & | m | |||
| ) | [inline] |
Initialize with ranges from i and map m.
Definition at line 215 of file ranges-map.hpp.
| bool Gecode::Iter::Ranges::Map< I, M, true >::operator() | ( | void | ) | const [inline] |
Test whether iterator is still at a range or done.
Definition at line 228 of file ranges-map.hpp.
| void Gecode::Iter::Ranges::Map< I, M, true >::operator++ | ( | void | ) | [inline] |
Move iterator to next range (if possible).
Definition at line 233 of file ranges-map.hpp.
| int Gecode::Iter::Ranges::Map< I, M, true >::min | ( | void | ) | const [inline] |
Return smallest value of range.
Definition at line 239 of file ranges-map.hpp.
| int Gecode::Iter::Ranges::Map< I, M, true >::max | ( | void | ) | const [inline] |
Return largest value of range.
Definition at line 244 of file ranges-map.hpp.
| unsigned int Gecode::Iter::Ranges::Map< I, M, true >::width | ( | void | ) | const [inline] |
Return width of range (distance between minimum and maximum).
Definition at line 249 of file ranges-map.hpp.
Member Data Documentation
I Gecode::Iter::Ranges::Map< I, M, true >::i [protected] |
Input range iterator.
Definition at line 117 of file ranges-map.hpp.
M Gecode::Iter::Ranges::Map< I, M, true >::m [protected] |
Map object.
Definition at line 119 of file ranges-map.hpp.
The documentation for this class was generated from the following file:
- gecode/iter/ranges-map.hpp


A saved bookmark stores the current model and visualization as part of the project so you can open them again later.


Schedule: Sunday 20.10. - Tuesday 22.10.2013
19:00 - Pre-conference meet-up at Beerhouse Kaisla ( map)
8:30 Registration Opens
9:00 - 10:00 Keynote:Open Source Your Education
10:00 - 10:30 Coffee / mingling
10:30 - 11:30 My First Numba
11:30 - 12:30 Generators and Coroutines for Stream Data Processing, or, Generator Showdown Showcase
12:30 - 13:30 Lunch (om nom)
13:30 - 14:30 Python Bindings to Samba 4
14:30 - 15:30 Python Debugging Techniques
15:30 - 16:00 Coffee / mingling
16:00 - 16:30 The Bugfix Confirmation Loop
16:30 - 17:00 Why PyLadies
17:00 - 17:30 Functional acrobatics in Python
17:30 - 18:00 Lightning talks
19:00 - Dinner at Cantina West (map)
10:30 - 11:00 Coffee
11:00 - 12:00 Python Finland's bi-annual meetup
12:00 - 18:00 Sprints / workshop with lunch somewhere along the way


Location Form
Home
Tracking Sheet
Insert Location Name
Minimum Customers
Maximum Customers
Avarage Cookies Purchased


First Name
Last Name
Email
Country
Choose a Country
USA
Biography
Phone Number
Affiliations
Occupation
Select Occupation
Writer
Cat's Name
Favorite Gadget
Type of Talent
Choose a talent
Super Strength
Favorite Drink
Weapon of Choice
Special Power
Comments


Click on the player you think is better
Click LEADERBOARD to see the King of the Hill
Clicksettings to adjust how you rank


{% extends "base.html" %} {% block main %} Complete Archive: {% if articles %}
This blog is empty. (Someone want to fix that?) {% endif %} {% endblock %}


--- title: Saves Summaries Every N Steps type: docs repo: https://github.com/rstudio/tfestimators menu: main: name: Saves Summaries Every N Steps - tfestimators parent: tfestimators-reference aliases: - /reference/tfestimators/hook_summary_saver.html - /tfestimators/reference/hook_summary_saver.html - /guide/tfestimators/reference/hook_summary_saver.html - /tools/tools/tfestimators/reference/hook_summary_saver.html - /installation/tfestimators/reference/hook_summary_saver.html - /tutorials/tfestimators/reference/hook_summary_saver.html - /guide/tools/tfestimators/reference/hook_summary_saver.html - /deploy/tfestimators/reference/hook_summary_saver.html - /tools/tfestimators/reference/hook_summary_saver.html - /tutorials/tools/tfestimators/reference/hook_summary_saver.html ---
Saves Summaries Every N Steps
hook_summary_saver(save_steps = NULL, save_secs = NULL,
output_dir = NULL, summary_writer = NULL, scaffold = NULL,
summary_op = NULL)
| save_steps | An integer indicating saving summaries every N steps. Exactly one of
|
| save_secs | An integer indicating saving summaries every N seconds. |
| output_dir | The directory to save the summaries to. Only used
if no |
| summary_writer | The summary writer. If |
| scaffold | A scaffold to get summary_op if it's not provided. |
| summary_op | A tensor of type |
Other session_run_hook wrappers: hook_checkpoint_saver
,
hook_global_step_waiter
,
hook_history_saver
,
hook_logging_tensor
,
hook_nan_tensor
,
hook_progress_bar
,
hook_step_counter
,
hook_stop_at_step
,
session_run_hook


This paper explores the consequences of the two most prominent forms of contemporary structural realism for the notion of objecthood. Epistemic structuralists hold that we can know structural aspects of reality, but nothing about the natures of the relata whose relations define structures. Ontic structuralists hold that we can know structural aspects of reality, and that there is nothing else to know - objects are useful heuristic posits, but are ultimately ontologically dispensable. I argue that neither of these forms of structuralism succeed in ridding a structuralist ontology of objects. What structural realism implies is not that objects do not exist, but rather that objects should be understood structurally. The question of how we get from the "nodes" of detected structures to a conception of objecthood may have different answers, depending on the putative objects and problems under investigation. Scientific developments shed light on the ontological natures of particulars, but objects in general comprise a heterogeneous kind.
This paper is divided into two parts. The first part presents one of Bertrand Russell`s lesser-known epistemological views, viz. `structural realism` (SR). In short, this position holds that at most we have knowledge of the structure of the external (i.e. physical) world. This is followed by an exposition of M.H.A. Newman`s allegedly fatal objection that SR is either trivial or false. The second part starts with a brief mention of the current state of SR. Appealing to Quine`s notion of ontological relativity, the author argues that SR is impervious to Newman`s objection for it is neither trivial nor false.
Scientific realists have claimed that the posit that our theories are (approximately) true provides the best or the only explanation for their success . In response, I revive two non-realists explanations. I show that realists, in discarding them, have either misconstrued the phenomena to be explained or mischaracterized the relationship between these explanations and their own. I contend nonetheless that these non-realist competitors, as well as their realist counterparts, should be rejected; for none of them succeed in explaining a significant list of successes. I propose a related non-realist explanation of success that appears to be the most suitable among those considered.
Against Laudan`s "pessimistic induction", a popular and plausible response has been what I call "preservative realism", which argues that there have actually been enough elements of scientific knowledge preserved through processes of major theory-changes, and that those elements can be accepted realistically. This paper argues against preservative realism, in particular through a critical review of Psillos`s argument concerning the case of the caloric theory of heat. The historical record of the caloric theory reveals that beliefs about the properties of material caloric were indeed central to the successes of the caloric theory, contrary to Psillos`s argument. Therefore caloric remains a favorable case for Laudan. Further, I argue that even confirmed cases of preservation do not warrant an inference to truth.
Realists respond to Laudan's Pessimistic Induction with what I call the selective confirmation strategy: arguing that only idle parts of past theories have been rejected, while truly success-generating features have been confirmed by further inquiry. I argue first that this strategy is unconvincing without some prospectively applicable criterion of idleness for theoretical posits, and second, that existing efforts to provide one either convict all theoretical posits of idleness (Kitcher) or stand refuted by detailed consideration of the very examples (optical/electromagnetic ether, caloric fluid) to which they appeal (Psillos). Additionally, available avenues for improving on these proposals are unpromising.


Our Corporate Partners We've made it possible for more than 20 companies to support local causes around the world. We help companies expand their philanthropic footprint with global nonprofit vetting, grant making, charitable gift cards, and digital campaigns to power cause marketing, disaster response, and employee engagement.


Web dev card.
- Project idea #1: Personal porfolio
- Project idea #2: Application website for senior project
Class Name
Class Number
Class Description
Web Development
CST465
ASP.net web Development


COURSES AFTER GRADUATION
M.TECH
DEGREE IN MASTER'S
MASTER IN DOCTORATE
MASTER IN COMMERCE
MASTER IN SCIENCE
MASTER IN ARTS


I moved to San Francisco when I was 25 years old to pursue my bachelor’s degree at San Francisco State University, with a major in Philosophy-emphasis in Law and a minor in Computer Science.
Currently I am finishing my last semester at SFSU and look forward to applying for jobs in the technical field. Since I am not the typical computer science degree holder, I have had to work harder than those who are majored in that field. This does not deter me, only fuels my passion for breaking into the tech field so much more. Because I am a philosophy major, I have gained the ability to think creatively and analytically. I work well under pressure and have amazing leadership skills. I adapt quick in any given environment, whether in a solo project or teamwork. I persevere through anything and never give up, resilient to the very end. Although I may be a newbie in the field, I am determined and enthusiastic to learn and excited to see what else I can do with the knowledge gained.
I have a few projects that I have uploaded to my github account to showcase some of my work. Please see the github icon below for the link to my github account.
I went skydiving on my 20th birthday in Santa Barbara at 18,000 ft high. It was an amazing experience and still remember the feeling of my heart dropping to my stomach.
I am currently learning front-end developement langauges. I am interested in learning web developement and currently enrolled in a software engineering class at SFSU.
I have been helping the homeless since I was a little girl, and have fed the homesless from Los Angeles to San Francisco on Thanksgiving for several years.
Please see PDF version of my resume on the side.


--- layout: personal-default lang: "en" core_page_id: p0016 title: Random Thoughts On description: keywords: image: image_is_local: false image_alt: permalink: /blog/random-thoughts/on/ blog_page_type: list blog_page_category: random-thoughts blog_page_subcategory: "on" random_thoughts_tab: "on" ---


xv6
Main Page
Classes
Files
File List
File Members
Functions
kbd.c File Reference
#include "
types.h
"
#include "
x86.h
"
#include "
defs.h
"
#include "
kbd.h
"
Include dependency graph for kbd.c:
Functions
int
kbdgetc
(void)
void
kbdintr
(void)
Function Documentation
int kbdgetc
(
void
)
Here is the caller graph for this function:
void kbdintr
(
void
)
Here is the call graph for this function:
Here is the caller graph for this function:
Generated by
1.8.11


Location of the outputs JSON file, containing outputs and capabilities of another deployment. The file must be in the following format:
{ "outputs": { "<output_name>": "<output_value>", "<output_name>": "<output_value>", ... }, "capabilities": { "<capability_name>": "<capability_value>", "<capability_name>": "<capability_value>", ... } }


#include <GameObjects.h>
Public Member Functions | |
| GameArena (Real size) | |
| void | addGameArenaListener (GameArenaListener *listener) |
| void | removeGameArenaListener (GameArenaListener *listener) |
| Real | size () const |
| SpaceShip * | setPlayerShip (const SpaceShip &ship) |
| Constraint * | addConstraint (const Constraint &constraint) |
|
std::vector< Constraint * > ::iterator | destroyConstraint (Constraint *constraint) |
| SpaceShip * | addNpcShip (const SpaceShip &ship) |
| Projectile * | addProjectile (const Projectile &projectile) |
| std::vector< Projectile * > ::iterator | destroyProjectile (Projectile *projectile) |
|
std::vector< SpaceShip * > ::iterator | destroyNpcShip (SpaceShip *npcShip) |
| SpaceShip * | playerShip () |
| std::vector< Projectile * > * | projectiles () |
| std::vector< SpaceShip * > * | npcShips () |
| Projectile * | fireProjectileFromShip (SpaceShip *ship, int weaponIndex) |
| void | updatePhysics (Real timeElapsed) |
GameArena represents a cube of space in which ships, projectiles, and other objects should undergo physics simulation. The GameArena is responsible for storing references to all involved PhysicsObjects, and notifying listeners when new objects are created and destroyed.
Definition at line 198 of file GameObjects.h.
| GameArena::GameArena | ( | Real | size | ) |
Constructs a new, empty GameArena with the specified size.
Definition at line 281 of file GameObjects.cpp.
| void GameArena::addGameArenaListener | ( | GameArenaListener * | listener | ) |
Registers a GameArenaListener with the GameArena
Definition at line 326 of file GameObjects.cpp.
| Projectile * GameArena::addProjectile | ( | const Projectile & | projectile | ) |
Adds a projectile to the GameArena. Note: A copy of the passed PhysicsObject is created and stored in dynamic memory.
Definition at line 363 of file GameObjects.cpp.
| std::vector< Projectile * >::iterator GameArena::destroyProjectile | ( | Projectile * | projectile | ) |
Destroys a projectile, erasing it from the vector of stored PhysicsObjects
Definition at line 396 of file GameObjects.cpp.
| Projectile * GameArena::fireProjectileFromShip | ( | SpaceShip * | ship, | |
| int | weaponIndex | |||
| ) |
Definition at line 448 of file GameObjects.cpp.
| std::vector< SpaceShip * > * GameArena::npcShips | ( | ) |
Definition at line 457 of file GameObjects.cpp.
| SpaceShip * GameArena::playerShip | ( | ) |
Definition at line 443 of file GameObjects.cpp.
| std::vector< Projectile * > * GameArena::projectiles | ( | ) |
Definition at line 453 of file GameObjects.cpp.
| void GameArena::removeGameArenaListener | ( | GameArenaListener * | listener | ) |
Unregisters a GameArenaListener from the GameArena
Definition at line 331 of file GameObjects.cpp.
| void GameArena::updatePhysics | ( | Real | timeElapsed | ) |
Updates the physics of all ships and projectiles in the arena
Definition at line 461 of file GameObjects.cpp.


T LaRocca P.A.
Owner of ROC Financial Group
I've had the pleasure of working with Russell for many years. He has been a huge client of my company and we have had a very successful business relationship. Russell is always professional and his company is top notch. I respect Russell's business acumen and I would recommend working with him and his company to anyone..
R Scaglione
Licensed Real Estate Agent at Scaglione Rut miller Real Estate
In my business interactions with Russell, I have always found him to have a motivating and positive energy, maintain focus and organization, and act with integrity. I would highly recommend others to consider forging a working relationship with Russell.
R Cogburn
Owner, Insure US Agency
As a part time Real Estate Investor I have worked with Russ and consider him a knowledgeable professional and would trust his advise and decisions.
M Vargas
Senior Vice President of Client Services
Having worked with Russell in many capacities involving Real Estate acquisitions, property management, sales, investments and web marketing, I have personally seen first hand, his skills in analyzing all situations, maximizing profits with proper time management of a sales cycle, customer outreach, contract negotiations and property evaluation.
J Gruzlewski
US Channel Enterprise Business Development at Bitdefender
Having known and spoken with Russell for past year I can certainly say he is one of the most positive, accurate & creative businessman I've met in some time. Best of luck always!
J Staton
Residential Real Estate Investor and Residential Redeveloper
Russ is an outstanding business professional and leader in his industry. He is creative and passionate about everything he is involved in and I have had the pleasure of working with him in the past and hopefully again in the near future.


Let's play a story making game!
Rules:
- You can make one move per game day.
- When the timer reaches 0 the game day is over.
- A move consists of adding a new story card to continue the story.
- Each card can contain a maximum of 500 characters.
- When a new game day begins you can read the existing game day's stories.
That's it!
To get started, sign in with Google, then hit the plus button to add a new card.


2/12/2015
Concepts: Java Servlets
- Use New Dynamic Web Project
- Create new servlets to
- Listener is designed to do setup (i.e. initializing the sessions)
- Session attributes act like hashMaps
- You can creat
2/3/2015
Concepts: Threading
start
vs.run
:start
will actually fork off a new quesiton butrun
will keep the run method of the child thread running on the main thread itself
*
1/29/2015
Concepts: Databases
- We'll be using MySQL Monitor to interact directly with MySQL
Key characteristics of a database:
- Persistent Storage
- Application Access (applications can acces the data)
- Transaction management (this is not supported by a file system): Database rolls back if either end of the transaction fails
- Efficient Searching (not necessarily supported by traditional file system)
To access the database you need:
- username
- password
- database server
- database name
Java Database Connectivity (JDBC): built-in java library that works with SQL database.
1/27/2015
Concepts: Anonymous Functions, Lambda Functions
- You can sort with an anonymous lamda function, you don't need to create the entire comparable class - just need to create that one function:
Collections.sort(ingredients, (x, y) -> (return(x.getGrams()-y.getGrams()));
Note that this anonymous function has the same context as the surrounding program in JRE 8 (JRE 9 apparently has the concept of closure)
1/22/2015
Concepts: Java Swing
java.awt
abstract window types
JFrame theFrame = new JFrame("Swing Example");
theFrame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
(this way the entire application is still running even when you close a window)
- You can set the "look and feel" of an application
- Use ActionListeners to catch changes to buttons (like a JS callback)
1/8/2015
Concepts: Autoboxing, Templating, Generic Types, JUnit
- Remember you can't create collections of primitive types in Java, (i.e. you have to use Integer objects instead of ints)
- Autoboxing: We can autobox wrapper objects like Integers:
myIntList.add(5)
is equivalent tomyIntList.add(new Integer(5))
- Autounboxing:
int x = myIntList.get(0)
Though this list is made ofInteger
objects, Java will auto-unbox the int value for you- You do need to be explicit to unbox in this case:
a.get(0).intValue() == b.get(0).intValue()
- You do need to be explicit to unbox in this case:
Generic Types
- You can use generic type parameters to template objects in Java:
public class Pair<T> {
private T a;
private T b;
}
...
Pair<Integer> iPair = new Pair<Integer>(1,2);
- Beware! You cannot instantiate new generic types inside a class that uses a type parameter. This is because Java doesn't know what type it is at run-time (due to backwards-compability in the internal implementation of types because only the compiler knows about the type)
JUnit Testing Frameworks
- test stub - sample item returned that can be used to test a program (i.e. a single word returned by the hangman initialization function)
- test harnesses - stands in as a potential user of the program you're writing


class AccessManager
A simple security manager, in charge of checking user
Constants
| VIEW |
|
| CREATE |
|
| UPDATE |
|
| DELETE |
|
Methods
|
__construct($accessValue)
|
||
|
can($type)
|
||
| static |
getMaxAccessValue()
|
|
|
build($accesses)
|
||
|
getAccessValue()
|
Details
at line 43
public
__construct($accessValue)
at line 50
public
can($type)
at line 60
static public
getMaxAccessValue()
at line 65
public
build($accesses)
at line 91
public
getAccessValue()


{% extends "base.html" %} {% load i18n %} {% block nav-profile %}active{% endblock %} {% block content %}
{% trans "There was some problem with your token, authentication server or data service." %}


Table of Contents
The PostgreSQL JDBC Driver supports the use of logging (or tracing) to help resolve issues with the PgJDBC Driver when is used in your application.
The PgJDBC Driver uses the logging APIs of java.util.logging
that is part of Java since JDK 1.4,
which makes it a good choice for the driver since it doesn't add any external dependency for a logging
framework. java.util.logging
is a very rich and powerful tool, it's beyond the scope of these docs
to explain how to use it to it's full potential, for that please refer to
Java Logging Overview.
This logging support was added since version 42.0.0 of the PgJDBC Driver, and previous
versions uses a custom mechanism to enable logging that it is replaced by the use of
java.util.logging
in current versions, the old mechanism is no longer available.
Please note that while most people asked the use of a Logging Framework for a long time, this support is mainly to debug the driver itself and not for general sql query debug.
The Logging APIs offer both static and dynamic configuration control. Static control enables field service staff to set up a particular configuration and then re-launch the application with the new logging settings. Dynamic control allows for updates to the logging configuration within a currently running program.
The root logger used by the PgJDBC driver is org.postgresql
.
The default Java logging framework stores its configuration in a file called logging.properties
.
Settings are stored per line using a dot notation format. Java installs a global configuration file
in the lib
folder of the Java installation directory, although you can use a separate configuration
file by specifying the java.util.logging.config.file
property when starting a Java program.
logging.properties
files can also be created and stored with individual projects.
The following is an example of setting that you can make in the logging.properties
:
# Specify the handler, the handlers will be installed during VM startup.
handlers = java.util.logging.FileHandler
# Default global logging level.
.level = OFF
# Default file output is in user's home directory.
java.util.logging.FileHandler.pattern = %h/pgjdbc%u.log
java.util.logging.FileHandler.limit = 5000000
java.util.logging.FileHandler.count = 20
java.util.logging.FileHandler.formatter = java.util.logging.SimpleFormatter
java.util.logging.FileHandler.level = FINEST
java.util.logging.SimpleFormatter.format = %1$tY-%1$tm-%1$td %1$tH:%1$tM:%1$tS %4$s %2$s %5$s%6$s%n
# Facility specific properties.
org.postgresql.level = FINEST
And when you run your application you pass the system property:
java -jar -Djava.util.logging.config.file=logging.properties run.jar


add# The Longest Common Subsequence
Translator: ABCpril
Author: labuladong
Longest Common Subsequence (LCS) is a classic interview question, because its solution indicates typical two-dimensional dynamic programming. Most of the difficult problems related to string are similar to LCS problem, such as Edit distance. Moreover, LCS algorithm is worth mastering because it can be utilized to solve other relative problems effectively.
Given str1 and str2, find out the length of the longest common subsequence.
Input: str1 = "abcde", str2 = "ace"
Output: 3
Explanation: The longest common subsequence is "ace" whose length is 3
Some readers may wonder why should this problem be solved by dynamic programming. It is difficult to list exhaustively all the possible results when it comes to solving the problem of subsequence types. Thanks to exhausting and pruning, dynamic programming algorithms can be satisfying. In a word, as long as the subsequence is involved, dynamic programming should be considered to solve it.
Let’s analyze how to solve this problem with dynamic programming skills in detail.
The first step is to make sure the meaning of the dp
array . For the dynamic programming problem of two strings, the routine is universal.
For example, for the strings s1
and s2
, a DP table should be constructed like this:
For the sake of understanding this table, we temporarily consider that the index starts from 1. We only need to make a few adjustments in the code block later. Among them, dp [i] [j]
means: For s1 [1..i]
and s2 [1..j]
, their LCS length is dp [i] [j]
.
In the table above, d [2] [4] means: For " ac "
and " babc "
, their LCS length is 2. The final answer is hidden in dp [3] [6]
.
The second step is to define the base case.
What base case needs is that: dp[0][..]
and dp[..][0]
should be initialized to 0 for representing null strings.
According to the definition of the dp array above, dp [0] [3] = 0
means: For the strings ""
and "bab"
, the length of the LCS is 0. Due to one null string, the length of their longest common subsequence should obviously be zero.
The third step is to find the state transition equation。
This is the most difficult step in dynamic programming. Fortunately, the routines for this type of string problem are similar. So let’s take this question as an example to find out ideas for handling such problems.
Making choices is what state transition exactly does. For example, this problem is to find the longest common subsequence of s1
and s2
. This subsequence may be called lcs
. So what options are there for each character in s1
and s2
? Obviously, there are two options, either in lcs
or not.
Both “in” and “absent” are choices. The key is, which should you choose? This requires some brainpower: if a character should be in lcs
, then this character must exist in both s1
and s2
, because lcs
is the longest common subsequence. So consider this:
Use two pointers i
and j
to traverse s1
and s2
from back to front. If s1 [i] == s2 [j]
, then this character must be in lcs
; Otherwise, at least one of s1[i] and s2[j]
is not in lcs
. And it should be discarded. Have a look at the recursive solution which is easier to understand:
def longestCommonSubsequence(str1, str2) -> int:
def dp(i, j):
# base case
if i == -1 or j == -1:
return 0
if str1[i] == str2[j]:
# found a character belongs to lcs, keep finding
return dp(i - 1, j - 1) + 1
else:
# it's up to the character which can make lcs longer
return max(dp(i-1, j), dp(i, j-1))
# i and j became the indexes of the final character in lcs
return dp(len(str1)-1, len(str2)-1)
For the first case, you have found a character in lcs
, i
j
should move forward by one, and the length of lcs
increases by one; for the latter, take greater results from left and up.
In fact, this code is a brute force solution. We can optimize the time complexity through memos or DP tables, such as the DP table described above:
def longestCommonSubsequence(str1, str2) -> int:
m, n = len(str1), len(str2)
# construct DP table and base case
dp = [[0] * (n + 1) for _ in range(m + 1)]
# state transition
for i in range(1, m + 1):
for j in range(1, n + 1):
if str1[i - 1] == str2[j - 1]:
# found a character in lcs
dp[i][j] = 1 + dp[i-1][j-1]
else:
dp[i][j] = max(dp[i-1][j], dp[i][j-1])
return dp[-1][-1]
For the cases where s1 [i]
and s2 [j]
are not equal, it indicates that at least one of the characters are not in lcs
. Will both characters be missing? For example:
So let’s change the code to this considering the situation above:
In fact, you can change it this way and get the correct answer, but it is useless because dp [i-1] [j-1]
is always the smallest of the three, and max will not reach it.
The reason lies in our definition of dp array: for s1 [1..i]
and s2 [1..j]
, their LCS length is dp [i] [j]
.
Through this way, it is clear that the length of the lcs
corresponding to dp [i-1] [j-1]
cannot be larger than the first two cases, so there is no need to add it in the comparison.
For the dynamic programming of two strings, DP tables are generally defined. Because it is easier to write the state transition equation and get the state of dp [i] [j]
by analyzing the previous dp values with DP table:
The key to find out the state transition equation is to think about the “choices” of each state. As long as we can make the right choice with right logic, the algorithm will take effect as planned.


The information on this webapp is obtained from the GoodReads Reviews Dataset, which can be found here , and the Google Books API, which you can learn more about here .