GE Appliances Privacy Policy
Last Updated August 30, 2017
RECENT UPDATES
Revision for compliance with the EU General Data Protection Regulation (GDPR) that will come into effect on May 25, 2018 across the EU/EEA. Additional changes will, however, likely be necessary when further relevant regulatory guidance is issued.
INTRODUCTION
We want you to be familiar with how we collect, use and disclose your personal information. This Privacy Policy describes our practices in connection with information that we collect through web sites operated by us from which you are accessing this Privacy Policy, through the software applications made available by us for use on or through computers and mobile devices, through our social media pages that we control from which you are accessing this Privacy Policy, as well as through HTML-formatted email messages that we send to you that link to this Privacy Policy. We may also collect personal information from you offline, such as when you visit our stores, attend one of our trade shows, place an order over the phone, or contact customer service (collectively referred to as the "services"). By using the services, you agree to this Privacy Policy.
Haier US Appliance Solutions, Inc. DBA GE Appliances is responsible for collection, use and disclosure of your personal information. Contact details can be found in the section 'How to Contact Us' below.
INFORMATION WE COLLECT AND HOW WE USE IT
We may ask you to provide various personal information when using the services, as described below. If you use GE Appliances' WiFi Connect platform, we will collect and store data from your connected appliances and/or devices in accordance with our Connected Data Privacy Policy.
We may need to collect and use some of the information listed below because we are either legally required to do so or because we need it to provide the requested services to you. If you do not provide the information that we ask for, we may not be able to provide you with the requested services.
PRODUCT AND ACCOUNT REGISTRATION
When you register a product or an account with GE Appliances, we ask you to provide your name, address, phone number, email address, and your product's model number, serial number and purchase date. You are required to provide this information so that we can register your product or account.
CUSTOMER SERVICE
If you schedule a service call or delivery, make a consumer inquiry, or email us, we may collect your name, telephone number, and email address so we can respond to your questions and comments. You may choose to provide additional information as well, such as the model and/or serial number of your product, the date your product was purchased and/or installed, or the nature of your issue or question.
GE APPLIANCES STORE/GE PARTS STORE
To provide access to members of the GE Appliances Store and GE Appliance Parts Store, we may ask you to furnish your authorization code, name, address, phone number and email address. When making a purchase, we may ask for your contact information, including your name, postal address, phone number, email address and your payment information, including your credit card number and billing information.
PROMOTIONAL ACTIVITIES
If you choose to participate in our promotional activities, such as rebates, contests and other similar promotions, we may collect your name, email address, and your telephone number to administer your participation. We may also collect additional information, such as the model and/or serial number of your product, and the date your product was purchased and/or installed, so that we can confirm that you qualify to take part in a specific promotional activity (e.g., when a promotional activity is available only for users of certain products or services). Some of these activities have additional rules containing information about how we use and disclose your personal information.
THROUGH APPLICATIONS & OTHER ONLINE ACTIVITIES
We may collect information through software applications made available or used by us (e.g., when we provide you with maintenance or repair services), or when you otherwise use our online services or platforms. We may collect information typically collected through web sites and applications, such as browser and device information, application usage data, information collected through cookies, pixel tags and other technologies, and IP addresses. See the section titled 'Use of Cookies and Similar Technologies' below.
QUESTIONNAIRES AND SURVEYS
We occasionally may ask visitors to our web site and consumers to complete online surveys and opinion polls about their activities, attitudes and interests. These surveys help us serve you better and improve the usefulness of our site. In conducting these surveys, we may ask you for your name and email address. We do not keep any personal information about you in connection with your participation in a GE Appliances survey unless you specifically agree to provide that information.
SEND CONTENT TO A FRIEND
You can send certain content to your friends. To do so, we ask you to provide your name and your friend's email address. We use this information to send the content to your friend.
LOCATION INFORMATION
If you use any location-enabled products, you may be sending us location information. GE Appliances does not store or use this information other than to provide the service you requested. For example, a mobile product may use GPS data to find a nearby dealer and/or service provider of our products. Location-enabled features for GE Appliances websites are opt-in and you have control over your participation and can turn these services off at any time.
OFFLINE COLLECTION
We may collect personal information from you offline, such as when you visit our stores, interact with us or our distribution networks (including dealers and their related entities), or attend one of our trade shows/events. In this case, we will collect such personal information as you choose to provide to us. For example, if you want to receive additional information on one of our products or services via postal mail, we will collect your name and address so that we can send you the requested information.
INFORMATION FROM THIRD-PARTY SOURCES
We may receive information about you from publicly and commercially available sources, such as such as public databases, joint marketing partners, social media platforms (including from people with whom you are friends or otherwise connected) and from other third parties (as permitted by law), which we may combine with other information we receive from or about you. In addition, if you elect to connect your social media account to your web site account, certain personal information from your social media account will be shared with us, which may include personal information that is part of your profile or your friends' profiles.
SENSITIVE INFORMATION
We ask that you not send us, and you not disclose, any sensitive personal information (e.g., social security numbers, information related to racial or ethnic origin, political opinions, religion or other beliefs, health, biometrics or genetic characteristics, criminal background or trade union membership) on or through the services or otherwise to us.
USE OF PERSONAL INFORMATION
We may use the personal information collected about you for the following purposes:
- To provide, administer and communicate with you about products, services, events, surveys and promotions (including by sending you marketing communications);
- To contact you in the event of a service notification for your registered appliance or to provide other notices concerning the safety of your appliance regardless of your stated privacy preferences;
- To process, evaluate and respond to your requests, inquiries and applications;
- To provide you access to the GE Appliances Store and GE Appliance Parts Store websites;
- To confirm and process your order, provide you with updates regarding your order, process returns and contact you concerning your order;
- To create, administer and communicate with you about your account (including any purchases and payments);
- To personalize your experience on the services by presenting products and offers tailored to you, and to facilitate social sharing functionality;
- To verify your identity to ensure security for the other purposes listed here;
- To operate, evaluate and improve our business (including developing new products and services; managing our communications; performing market research; determining and managing the effectiveness of our advertising and marketing; analyzing our products, services and websites; administering our websites; and performing accounting, auditing, billing, reconciliation and collection activities);
- To protect against and prevent fraud, unauthorized transactions, claims and other liabilities, and manage risk exposure and quality;
- To conduct investigations and comply with and enforce applicable legal requirements, industry standards and our policies and terms, such as this and other Haier sites' terms of use;
- To ensure the safety of GE Appliances network services, information resources and employees.
We also may use personal information for other additional purposes, which we identify at the time of collection. You may choose not to provide us with certain types of information, but doing so may affect your ability to use some services.
We may need to collect and use some of the abovementioned information because we are either legally required to do so, or because we need it to provide the requested services to you (legitimate interest), or we have acquired your consent.
USE OF COOKIES AND SIMILAR TECHNOLOGIES
Like most companies, we use cookies on our websites. For more information on how to manage cookies and similar technologies, please visit our Cookie Notice & Disclosure page.
INFORMATION WE SHARE/DISCLOSE
Your personal information may be shared with:
- Third party service providers we have retained to perform services on our behalf. These service providers are contractually restricted from using or disclosing the information, except as necessary to perform services on our behalf or to comply with legal requirements;
- The Haier family of companies;
- Third parties that may offer you products or services for purposes related to your purchase and use of a GE Appliances product, such as extended service plans;
- Third Party sponsors of events, contests, surveys and similar promotions;
- Your friends associated with your social media account, to other website users and to your social media account provider, in connection with your social sharing activity. By connecting your GE Appliances services account and your social media account, you authorize us to share information with your social media account provider, and you understand that the use of the information we share will be governed by the social media provider's privacy policy.
We may also disclose information about you (i) if we are required to do so by law or legal process (which may include laws outside your country of residence), (ii) to law enforcement authorities or other government officials (which may include authorities outside your country of residence), or (iii) when we believe disclosure is necessary or appropriate to prevent physical harm or financial loss or in connection with an investigation of suspected or actual illegal activity.
We may furthermore use, disclose or transfer your personal information to a third party in the event of any reorganization, merger, sale, joint venture, assignment, transfer or other disposition of all or any portion of our business, assets or stock (including in connection with any bankruptcy or similar proceedings).
We may also use and disclose your personal information in other ways, with your consent.
INFORMATION WE TRANSFER
The services are controlled and operated by us from the United States of America. Your personal information may be stored and processed in any country where we have facilities or in which we engage service providers, and by using the services you consent to the transfer of information to countries outside of your country of residence, including the United States of America, which may have data protection rules that are different from those of your country. In certain circumstances, courts, law enforcement agencies, regulatory agencies or security authorities in those other countries may be entitled to access your personal information.
If you are located in the European Economic Area: Some of the non-EEA countries are recognized by the European Commission as providing an adequate level of protection according to EEA standards (the full list of these countries is available here).
With regard to transfers to other countries, we have put in place adequate measures, such as standard contractual clauses adopted by the European Commission to protect your personal information. You may obtain a copy of these measures by contacting us as outlined in the section titled 'How to Contact Us'.
THIRD PARTY ADVERTISING
We may use third-party advertising companies to serve advertisements regarding products and services that may be of interest to you when you access and use the services and other web sites or online services, based on information relating to your access to and use of the services and other websites or online services on any of your devices, as well as on information received from third parties. To do so, these companies may place or recognize a unique cookie on your browser (including through the use of pixel tags). They may also use these technologies, along with information they collect about your online use, to recognize you across the devices you use, such as a mobile phone and a laptop.
If you would like more information about this practice, and to learn how to opt out of it in desktop and mobile browsers on the particular device on which you are accessing this Privacy Policy, please visit www.aboutads.info and optout.networkadvertising.org. You may download the AppChoices app at youradchoices.com/appchoices to opt out in mobile apps.
LINKS TO OTHER SITES
We provide links to other web sites for your convenience and information. These sites may have their own privacy statements in place, which we recommend you review if you visit any linked web sites. We are not responsible for the content of linked sites or any use of the sites.
CHILDREN'S PRIVACY
This web site is not directed to children under the age of sixteen and we do not knowingly collect personal information from children under the age of sixteen on GE Appliances web sites. If we become aware that we have inadvertently received personal information from a visitor under the age of sixteen on a GE Appliances web site, we will delete the information from our records. Some links on GE Appliances web sites may take web site visitors to sites that are directed to children. These web sites have their own privacy policies that address children's privacy. We encourage you to read these privacy policies if you visit any linked sites directed to children.
CHOICES AND ACCESS
We give you choices regarding our use and disclosure of your personal information for marketing purposes. You may opt-out from:
- Receiving electronic communications from us: If you no longer want to receive marketing-related emails from us on a going-forward basis, you may update your email preferences at any time by clicking the "Manage Subscriptions" link in the footer of any email we send you. You can also request to opt-out of the use of your personal information by GE Appliances, as outlined in the section titled 'How to Contact Us'.
- Receiving telephone or direct mail communications: If you no longer want to receive marketing-related telephone or direct mail communications from us on a going-forward basis, you may reach us as outlined in the section titled 'How to Contact Us'.
- Our sharing of your personal information with affiliates for their direct marketing purposes: If you would prefer that we not share your personal information on a going-forward basis with our affiliates for their direct marketing purposes, you may opt-out of this sharing by contacting us as outlined in the section titled 'How to Contact Us'.
- Our sharing of your personal information with unaffiliated third parties for their direct marketing purposes related to your purchase and use of a GE Appliances product: If you would prefer that we not share your personal information on a going-forward basis with unaffiliated third parties for their direct marketing purposes related to your purchase and use of a GE Appliances product, you may opt-out of this sharing by contacting us as outlined in the section titled 'How to Contact Us'.
We will try to comply with your request(s) as soon as reasonably practicable. Please note that if you opt-out of receiving marketing-related emails from us, we may still send you important administrative messages that you cannot opt-out from.
For information about our mobile SMS Terms and Conditions, including how to opt-in or opt-out of receiving mobile alert updates or notices, please consult our SMS Terms and Conditions page.
HOW YOU CAN ACCESS, CHANGE OR SUPPRESS YOUR PERSONAL INFORMATION
If you would like to request to review, correct, update, suppress/restrict or delete personal information that you have previously provided to us, or if you would like to request that we transfer your personal information to another company (to the extent this right to data portability is provided to you by applicable law), you may contact us as outlined in the section titled 'How to Contact Us'.
In your request, please make clear what personal information you would like to have changed, whether you would like to have your personal information suppressed from our database or otherwise let us know what limitations you would like to put on our use of your personal information. For your protection, we may only implement requests with respect to the personal information associated with the particular email address that you use to send us your request, and we may need to verify your identity before implementing your request. We will try to comply with your request as soon as reasonably practicable.
Please note that we may need to retain certain information for recordkeeping purposes and/or to complete any transactions that you began prior to requesting a change or deletion (e.g., when you make a purchase or enter a promotion, you may not be able to change or delete the personal information provided until after the completion of such purchase or promotion). There may also be residual information that will remain within our databases and other records, which will not be removed.
RETENTION PERIOD
We keep your personal information for as long as needed or permitted in light of the purpose(s) for which it was obtained. The criteria used to determine our retention periods include (i) for as long as we have an ongoing relationship with you (such as delivery of products or services, an online account, receiving our newsletter); as required by a legal obligation to which we are subject to; or as advisable in light of our legal position (such as in regard of applicable statutes of limitations, litigation, or regulatory investigations).
HOW WE PROTECT PERSONAL INFORMATION
We maintain administrative, technical and physical safeguards to protect against unauthorized disclosure, use, alteration or destruction of the personal information you provide on this web site. We use secure socket layer (SSL) technology and other technologies to help keep the personal information you provide on this site secure. Unfortunately, no data transmission or storage system can be guaranteed to be 100% secure. If you have reason to believe that your interaction with us is no longer secure, please immediately notify us in accordance with the 'How to Contact Us' section below.
COMPLAINTS
You have the right at all times to lodge a complaint with a supervisory authority competent for your country or region.
UPDATES TO OUR PRIVACY POLICY
This Privacy Policy may be updated periodically and without prior notice to you to reflect changes in our online information practices. We will post a prominent notice on this web site to notify you of any significant changes to our Privacy Policy and indicate at the top of the Privacy Policy when it was most recently updated.
HOW TO CONTACT US
If you have any questions or comments about this Privacy Policy, or if you would like us to update information we have about you or your preferences, including requests to opt out of the use of your personal information by GE Appliances as outlined in this Privacy Policy, please contact us by completing this online form.
Please note that GE Appliances reserves the right to contact you in the event of a safety or quality-related issue with your registered appliance regardless of your stated privacy preferences.
NOTICE TO CALIFORNIA RESIDENTS
In accordance with California Civil Code Section 1798.83 (also known as the 'Shine The Light' law), GE Appliances makes the following disclosure:
In the previous calendar year, GE Appliances has disclosed the personal information of its consumers to the following third party for direct marketing purposes:
Federal Warranty Service Corporation,
an Assurant Solutions company
260 Interstate N Circle SE
Atlanta, GA 30339-2228Information Provided: Full Name, Address, Telephone, E-mail, Product Ownership/Registration Details, Opt-Out Preferences.
Federal Warranty Service Corporation markets and sells extended service contracts for GE Appliances products under the Assurant Solutions name.


Staff
Former
Assistant Secretary
of Commerce for
International Trade
Born: Unknown
Hometown: Unknown
Education: University of Texas
Texas A&M University
Staff
23rd White House
Press Secretary
Born: 10-13-1960
Hometown: Pound Ridge, New York
Education: Middlebury College
Staff
16th Director
of FEMA
Born: 07-27-1952
Hometown: Blackwell, Oklahoma
Education: Oklahoma State
University
Staff
72nd Secretary of
the Treasury
Born: 12-04-1935
Hometown: St. Louis, Missouri
Education: California State
University Fresno, Claremont
University, Indiana University
Staff
33rd Director of
Office Management
and Budget
Born: 04-07-1949
Hometown: Monongahela,
Pennsylvania
Education: Princeton University,
Georgetown University
Staff
16th CIA Director
Born: 01-05-1953
Hometown: New York, New York
Education: State University of
New York, Georgetown Univeristy,
Colombia University
Staff
17th Director
of FEMA
Born: 11-09-1954
Hometown: Guymon, Oklahoma
Education: University of
Central Oklahoma, Oklahoma
City University
Staff
27th Secretary
of Agriculture
Born: 06-29-1949
Hometown: Modesto, California
Education: UC Davis, UC Berkeley,
UC Hastings
Staff
80th Attorney General
Born: 08-04-1955
Hometown: San Antonio, Texas
Education: Rice University,
Harvard University
Staff
66th Secretary
of State
Born: 11-14-1954
Hometown: Birmingham, Alabama
Education: University of Denver,
University of Notre Dame
Staff
21st White House
Director of
Communication
Born: 12-27-1956
Hometown: Paris, France
Education: Southern Methodist
University
Staff
Former White House
Speech Writer
Born: 02-03-1982
Hometown: Unknown
Education: Yale Univeristy
Staff
Former Director of
the National Energy
Policy Development
Group
Born: 1961
Hometown: Unknown
Education: University of Alaska,
Catholic University of America
Staff
8th Secretary
of Education
Born: 11-30-1957
Hometown: Ann Arbor, Michigan
Education: University of Houston
Staff
Former Counselor
to Dick Cheney
Born: 08-19-1953
Hometown: Burnham, Illinois
Education: Western Illinois
University, Hofstra University
Staff
21st Secretary
of Defense
Born: 06-09-1932
Hometown: Chicago, Illinois
Education: Princeton University,
Georgetown University
Staff
13th Deputy
Secretary of State
Born: 04-26-1945
Hometown: Boston, Massachusetts
Education: United States
Naval Academy
Staff
46th Vice President
Born: 01-30-1941
Hometown: Lincoln, Nebraska
Education: University of Wyoming
Staff
65th Secretary
of State
Born: 04-05-1937
Hometown: New York, New York
Education: City of New York City
College, George Washington
University
Colin Powell was a four-star general in the U.S. Army, and has had major involvement in the government. He is a liberal Republican who contested many actions of the Bush administration. Although he was politcially untouchable he recieved scorn from many in Washington for his efforts to communicate the situation in Iraq to the U.N. Bush's nickname displays the feelings of admiration, as well as resentment within his administration for Powell.


Create new download job
Back to the main pageChoose VOTABLE source
VOTABLE input
Resource URL:
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getData
This example illustrates how to get the underlying data for a viz (view) that's loaded using the JavaScript API.
After the viz has finished loading, click the Get Data button to see the data for the viz. Get Data


Mario Kart Tour heading to London in next week’s update
The next Mario Kart Tour update is coming next week and will include a new London-themed track and two new characters.
While Mario Kart Tour players continue to enjoy the current Christmas-themed event and wonder why there is still no multiplayer, developer DeNA is already preparing for the game’s next tour.
Set to begin on Wednesday, 4 December at 6am, the new tour will be London-themed and come with a brand new race course set in the city itself, complete with familiar iconography like red double-decker buses and Big Ben.
While this does mean an end to the Christmas tour and, with it, a chance for you to acquire the exclusive characters, karts and gliders, DeNA has also confirmed that Santa Mario will still be available until 31 December, probably because it would be weird for the Christmas character to be unavailable that month.
We can safely assume that the London tour will come with new unlockable karts and gliders as well, but DeNA has already teased the two new characters that will be included for the tour’s duration.
Advertisement Advertisement
We only have silhouettes to go off of, but they are clearly meant to be new versions of Waluigi, Luigi’s purple-clad rival, and Daisy – Peach’s fellow princess pal.
As for their new costumes, Daisy is likely wearing a fur winter coat, and the present she’s holding and holly in her hair suggest it’s Christmas-themed too. Waluigi’s is harder to discern, though. Maybe a bus driver’s outfit?
This follows the recent 1.2.0 update, which added a ticket screen so you can keep track of what tickets you have, a new control scheme that has a drift button, and a new type of bonus where players can earn extra points by finishing a race while in Frenzy Mode.
As for the lack of multiplayer, DeNA will be holding a beta test for it in the future, but it will be limited to those subscribed to the game’s Gold Pass.
Mario Kart Tour is available now on iOS and Android devices.
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Project: DeathNote
DeathNote is a desktop address book application used for keeping track of the people you hate. The user interacts with it using a CLI, and it has a GUI created with JavaFX. It is written in Java, and has about 6 kLoC.
Code contributed:
Enhancement Added: added Remark Command
Allows the adding of remarks using the `remark ` command.
External behavior
Start of Extract from: User Guide
Adds or edits remarks to the person identified by the INDEX
Format: remark INDEX r/[REMARK]
End of Extract
Enhancement Added: Birthday Reminder Window
Allows a quick and easy view of contacts’s corresponding birthdays.
View birthday reminder : reminders
/ rem
[Since v1.4]
Opens the birthday Reminders Window. The same can be done by clicking Reminders -→ Birthdays
Format: reminders
Shorthand: rem
End of Extract
Justification
This features lets users to see upcoming birthdays for all the contacts at once glance.
Other Contributions
-
Added various tests and documentation updates
-
Added Alias to some commands for themeing purposes


GPU Types (gpu.types)¶
-
class
gpu.types.
GPUBatch
(type, buf, elem=None)¶ Reusable container for drawable geometry.
Parameters: - type (str) – One of these primitive types: { POINTS, LINES, TRIS, LINE_STRIP, LINE_LOOP, TRI_STRIP, TRI_FAN, LINES_ADJ, TRIS_ADJ, LINE_STRIP_ADJ }
- buf (
gpu.types.GPUVertBuf
) – Vertex buffer containing all or some of the attributes required for drawing. - elem (
gpu.types.GPUIndexBuf
) – An optional index buffer.
-
draw
(program=None)¶ Run the drawing program with the parameters assigned to the batch.
Parameters: program ( gpu.types.GPUShader
) – Program that performs the drawing operations. IfNone
is passed, the last program set to this batch will run.
-
program_set
(program)¶ Assign a shader to this batch that will be used for drawing when not overwritten later. Note: This method has to be called in the draw context that the batch will be drawn in. This function does not need to be called when you always set the shader when calling batch.draw.
Parameters: program ( gpu.types.GPUShader
) – The program/shader the batch will use in future draw calls.
-
vertbuf_add
(buf)¶ Add another vertex buffer to the Batch. It is not possible to add more vertices to the batch using this method. Instead it can be used to add more attributes to the existing vertices. A good use case would be when you have a separate vertex buffer for vertex positions and vertex normals. Current a batch can have at most 6 vertex buffers.
Parameters: buf ( gpu.types.GPUVertBuf
) – The vertex buffer that will be added to the batch.
-
class
gpu.types.
GPUIndexBuf
(type, seq)¶ Contains an index buffer.
Parameters: - type (str) – One of these primitive types: { POINTS, LINES, TRIS, LINE_STRIP_ADJ }
- seq (1D or 2D sequence) – Indices this index buffer will contain. Whether a 1D or 2D sequence is required depends on the type. Optionally the sequence can support the buffer protocol.
-
class
gpu.types.
GPUOffScreen
(width, height, samples=0)¶ This object gives access to off screen buffers.
Parameters: - width (int) – Horizontal dimension of the buffer.
- height (int) – Vertical dimension of the buffer.
- samples (int) – OpenGL samples to use for MSAA or zero to disable.
-
bind
(save=True)¶ Bind the offscreen object. To make sure that the offscreen gets unbind whether an exception occurs or not, pack it into a with statement.
Parameters: save (bool) – Save the current OpenGL state, so that it can be restored when unbinding.
-
draw_view3d
(scene, view_layer, view3d, region, view_matrix, projection_matrix)¶ Draw the 3d viewport in the offscreen object.
Parameters: - scene (
bpy.types.Scene
) – Scene to draw. - view_layer (
bpy.types.ViewLayer
) – View layer to draw. - view3d (
bpy.types.SpaceView3D
) – 3D View to get the drawing settings from. - region (
bpy.types.Region
) – Region of the 3D View (required as temporary draw target). - view_matrix (
mathutils.Matrix
) – View Matrix (e.g.camera.matrix_world.inverted()
). - projection_matrix (
mathutils.Matrix
) – Projection Matrix (e.g.camera.calc_matrix_camera(...)
).
- scene (
-
free
()¶ Free the offscreen object. The framebuffer, texture and render objects will no longer be accessible.
-
unbind
(restore=True)¶ Unbind the offscreen object.
Parameters: restore (bool) – Restore the OpenGL state, can only be used when the state has been saved before.
-
color_texture
¶ OpenGL bindcode for the color texture.
Type: int
-
height
¶ Height of the texture.
Type: int
-
width
¶ Width of the texture.
Type: int
-
class
gpu.types.
GPUShader
(vertexcode, fragcode, geocode=None, libcode=None, defines=None)¶ GPUShader combines multiple GLSL shaders into a program used for drawing. It must contain a vertex and fragment shaders, with an optional geometry shader.
The GLSL #version directive is automatically included at the top of shaders, and set to 330. Some preprocessor directives are automatically added according to the Operating System or availability:
GPU_ATI
,GPU_NVIDIA
andGPU_INTEL
.The following extensions are enabled by default if supported by the GPU:
GL_ARB_texture_gather
andGL_ARB_texture_query_lod
.To debug shaders, use the –debug-gpu-shaders command line option to see full GLSL shader compilation and linking errors.
Parameters: - vertexcode (str) – Vertex shader code.
- fragcode – Fragment shader code.
- geocode – Geometry shader code.
- libcode – Code with functions and presets to be shared between shaders.
- defines – Preprocessor directives.
-
attr_from_name
(name)¶ Get attribute location by name.
Parameters: name (str) – The name of the attribute variable whose location is to be queried. Returns: The location of an attribute variable. Return type: int
-
bind
()¶ Bind the shader object. Required to be able to change uniforms of this shader.
-
calc_format
()¶ Build a new format based on the attributes of the shader.
Returns: vertex attribute format for the shader Return type: GPUVertFormat
-
uniform_block_from_name
(name)¶ Get uniform block location by name.
Parameters: name (str) – Name of the uniform block variable whose location is to be queried. Returns: The location of the uniform block variable. Return type: int
-
uniform_bool
(name, seq)¶ Specify the value of a uniform variable for the current program object.
Parameters: - name (str) – Name of the uniform variable whose value is to be changed.
- seq (sequence of bools) – Value that will be used to update the specified uniform variable.
-
uniform_float
(name, value)¶ Specify the value of a uniform variable for the current program object.
Parameters: - name (str) – Name of the uniform variable whose value is to be changed.
- value (single number or sequence of numbers) – Value that will be used to update the specified uniform variable.
-
uniform_from_name
(name)¶ Get uniform location by name.
Parameters: name (str) – Name of the uniform variable whose location is to be queried. Returns: Location of the uniform variable. Return type: int
-
uniform_int
(name, seq)¶ Specify the value of a uniform variable for the current program object.
Parameters: - name (str) – name of the uniform variable whose value is to be changed.
- seq (sequence of numbers) – Value that will be used to update the specified uniform variable.
-
uniform_vector_float
(location, buffer, length, count)¶ Set the buffer to fill the uniform.
Parameters: - location (int) – Location of the uniform variable to be modified.
- buffer (sequence of floats) – The data that should be set. Can support the buffer protocol.
- length (int) –
Size of the uniform data type:
- 1: float
- 2: vec2 or float[2]
- 3: vec3 or float[3]
- 4: vec4 or float[4]
- 9: mat3
- 16: mat4
- count (int) – Specifies the number of elements, vector or matrices that are to be modified.
-
uniform_vector_int
(location, buffer, length, count)¶ See GPUShader.uniform_vector_float(…) description.
-
program
¶ The name of the program object for use by the OpenGL API (read-only).
Type: int
-
class
gpu.types.
GPUVertBuf
(len, format)¶ Contains a VBO.
Parameters: - len – Amount of vertices that will fit into this buffer.
- format – Vertex format.
-
attr_fill
(id, data)¶ Insert data into the buffer for a single attribute.
Parameters: - id (int or str) – Either the name or the id of the attribute.
- data (sequence of values or tuples) – Sequence of data that should be stored in the buffer
-
class
gpu.types.
GPUVertFormat
¶ This object contains information about the structure of a vertex buffer.
-
attr_add
(id, comp_type, len, fetch_mode)¶ Add a new attribute to the format.
Parameters: - id (str) – Name the attribute. Often position, normal, …
- comp_type (str) – The data type that will be used store the value in memory. Possible values are I8, U8, I16, U16, I32, U32, F32 and I10.
- len (int) – How many individual values the attribute consists of (e.g. 2 for uv coordinates).
- fetch_mode (str) – How values from memory will be converted when used in the shader. This is mainly useful for memory optimizations when you want to store values with reduced precision. E.g. you can store a float in only 1 byte but it will be converted to a normal 4 byte float when used. Possible values are FLOAT, INT, INT_TO_FLOAT_UNIT and INT_TO_FLOAT.
-


Sample-Team
Karen
Manager
brightness_5
ID: 12345
EMAIL:
<EMAIL_ADDRESS>OFFICE: 123
Andi
Engineer
brightness_3
ID: 123
EMAIL:
<EMAIL_ADDRESS>GITHUB:
AndiS90
Josh
Intern
cloud
ID: 123456
EMAIL:
<EMAIL_ADDRESS>SCHOOL: UTD


Called when user selects and item from the context menu.
onClick = function(event)
You can add event listener during the listview creation:
or after the listview has been created:
The event will only be triggered if you defined the .menu property for the listview. This property
is used for context menu when any of the listview items is clicked.
The event handler is called before the default action of the event is triggered. You can cancel the default action by calling
event.preventDefault(). To perform an action
after the event is fully processed, define event.onComplete function.
See events page in utilities for more details.


|
SimpleITK
|
Computes overlap measures between the set same set of labels of pixels of two images. Background is assumed to be 0. More...
#include <sitkLabelOverlapMeasuresImageFilter.h>
Public Types | |
| using | PixelIDTypeList = IntegerPixelIDTypeList |
| using | Self = LabelOverlapMeasuresImageFilter |
| Public Types inherited from itk::simple::ImageFilter | |
| using | Self = ImageFilter |
| Public Types inherited from itk::simple::ProcessObject | |
| using | Self = ProcessObject |
Public Member Functions | |
| void | Execute (const Image &image1, const Image &image2) |
| double | GetDiceCoefficient () const |
| double | GetDiceCoefficient (int64_t label) const |
| double | GetFalseNegativeError () const |
| double | GetFalseNegativeError (int64_t label) const |
| double | GetFalsePositiveError () const |
| double | GetFalsePositiveError (int64_t label) const |
| double | GetJaccardCoefficient () const |
| double | GetJaccardCoefficient (int64_t label) const |
| double | GetMeanOverlap () const |
| double | GetMeanOverlap (int64_t label) const |
| std::string | GetName () const |
| double | GetUnionOverlap () const |
| double | GetUnionOverlap (int64_t label) const |
| double | GetVolumeSimilarity () const |
| double | GetVolumeSimilarity (int64_t label) const |
| LabelOverlapMeasuresImageFilter () | |
| std::string | ToString () const |
| virtual | ~LabelOverlapMeasuresImageFilter () |
| Public Member Functions inherited from itk::simple::ImageFilter | |
| ImageFilter () | |
| virtual | ~ImageFilter ()=0 |
| Public Member Functions inherited from itk::simple::ProcessObject | |
| virtual void | Abort () |
| virtual int | AddCommand (itk::simple::EventEnum event, const std::function< void()> &func) |
| Directly add a callback to observe an event. More... | |
| virtual int | AddCommand (itk::simple::EventEnum event, itk::simple::Command &cmd) |
| Add a Command Object to observer the event. More... | |
| virtual float | GetProgress () const |
| An Active Measurement of the progress of execution. More... | |
| virtual bool | HasCommand (itk::simple::EventEnum event) const |
| Query of this object has any registered commands for event. More... | |
| ProcessObject () | |
| virtual void | RemoveAllCommands () |
| Remove all registered commands. More... | |
| virtual | ~ProcessObject () |
| virtual void | DebugOn () |
| virtual void | DebugOff () |
| virtual bool | GetDebug () const |
| virtual void | SetDebug (bool debugFlag) |
| virtual void | SetNumberOfThreads (unsigned int n) |
| virtual unsigned int | GetNumberOfThreads () const |
| virtual void | SetNumberOfWorkUnits (unsigned int n) |
| virtual unsigned int | GetNumberOfWorkUnits () const |
Private Types | |
| using | MemberFunctionType = void(Self::*)(const Image &image1, const Image &image2) |
Private Member Functions | |
| template<class TImageType > | |
| void | ExecuteInternal (const Image &image1, const Image &image2) |
Private Attributes | |
| double | m_DiceCoefficient {0.0} |
| double | m_FalseNegativeError {0.0} |
| double | m_FalsePositiveError {0.0} |
| itk::ProcessObject * | m_Filter {nullptr} |
| double | m_JaccardCoefficient {0.0} |
| double | m_MeanOverlap {0.0} |
| std::unique_ptr< detail::MemberFunctionFactory< MemberFunctionType > > | m_MemberFactory |
| std::function< double(int64_t)> | m_pfGetDiceCoefficient |
| std::function< double(int64_t)> | m_pfGetFalseNegativeError |
| std::function< double(int64_t)> | m_pfGetFalsePositiveError |
| std::function< double(int64_t)> | m_pfGetJaccardCoefficient |
| std::function< double(int64_t)> | m_pfGetMeanOverlap |
| std::function< double(int64_t)> | m_pfGetUnionOverlap |
| std::function< double(int64_t)> | m_pfGetVolumeSimilarity |
| double | m_UnionOverlap {0.0} |
| double | m_VolumeSimilarity {0.0} |
Friends | |
| struct | detail::MemberFunctionAddressor< MemberFunctionType > |
Additional Inherited Members | |
| Static Public Member Functions inherited from itk::simple::ProcessObject | |
| static bool | GetGlobalDefaultDebug () |
| static void | GlobalDefaultDebugOff () |
| static void | GlobalDefaultDebugOn () |
| static void | SetGlobalDefaultDebug (bool debugFlag) |
| static void | GlobalWarningDisplayOn () |
| static void | GlobalWarningDisplayOff () |
| static void | SetGlobalWarningDisplay (bool flag) |
| static bool | GetGlobalWarningDisplay () |
| static double | GetGlobalDefaultCoordinateTolerance () |
| Access the global tolerance to determine congruent spaces. More... | |
| static void | SetGlobalDefaultCoordinateTolerance (double) |
| Access the global tolerance to determine congruent spaces. More... | |
| static double | GetGlobalDefaultDirectionTolerance () |
| Access the global tolerance to determine congruent spaces. More... | |
| static void | SetGlobalDefaultDirectionTolerance (double) |
| Access the global tolerance to determine congruent spaces. More... | |
| static bool | SetGlobalDefaultThreader (const std::string &threader) |
| Set/Get the default threader used for process objects. More... | |
| static std::string | GetGlobalDefaultThreader () |
| Set/Get the default threader used for process objects. More... | |
| static void | SetGlobalDefaultNumberOfThreads (unsigned int n) |
| static unsigned int | GetGlobalDefaultNumberOfThreads () |
| Set/Get the default threader used for process objects. More... | |
| Protected Member Functions inherited from itk::simple::ImageFilter | |
| void | CheckImageMatchingDimension (const Image &image1, const Image &image2, const std::string &image2Name) |
| void | CheckImageMatchingPixelType (const Image &image1, const Image &image2, const std::string &image2Name) |
| void | CheckImageMatchingSize (const Image &image1, const Image &image2, const std::string &image2Name) |
| Protected Member Functions inherited from itk::simple::ProcessObject | |
| virtual unsigned long | AddITKObserver (const itk::EventObject &, itk::Command *) |
| virtual itk::ProcessObject * | GetActiveProcess () |
| virtual void | OnActiveProcessDelete () |
| virtual void | onCommandDelete (const itk::simple::Command *cmd) noexcept |
| virtual void | PreUpdate (itk::ProcessObject *p) |
| virtual void | RemoveITKObserver (EventCommand &e) |
| Protected Member Functions inherited from itk::simple::NonCopyable | |
| NonCopyable ()=default | |
| NonCopyable (const NonCopyable &)=delete | |
| NonCopyable & | operator= (const NonCopyable &)=delete |
| Static Protected Member Functions inherited from itk::simple::ImageFilter | |
| template<class TImageType > | |
| static void | FixNonZeroIndex (TImageType *img) |
| Static Protected Member Functions inherited from itk::simple::ProcessObject | |
| template<class TImageType > | |
| static TImageType::ConstPointer | CastImageToITK (const Image &img) |
| template<class TPixelType , unsigned int VImageDimension, unsigned int VLength, template< typename, unsigned int > class TVector> | |
| static Image | CastITKToImage (itk::Image< TVector< TPixelType, VLength >, VImageDimension > *img) |
| template<unsigned int VImageDimension, unsigned int VLength, template< unsigned int > class TVector> | |
| static Image | CastITKToImage (itk::Image< TVector< VLength >, VImageDimension > *img) |
| template<class TImageType > | |
| static Image | CastITKToImage (TImageType *img) |
| static const itk::EventObject & | GetITKEventObject (EventEnum e) |
| template<typename T > | |
| static std::ostream & | ToStringHelper (std::ostream &os, const T &v) |
| static std::ostream & | ToStringHelper (std::ostream &os, const char &v) |
| static std::ostream & | ToStringHelper (std::ostream &os, const signed char &v) |
| static std::ostream & | ToStringHelper (std::ostream &os, const unsigned char &v) |
Computes overlap measures between the set same set of labels of pixels of two images. Background is assumed to be 0.
This code was contributed in the Insight Journal paper: "Introducing Dice, Jaccard, and Other Label Overlap Measures To ITK" by Nicholas J. Tustison, James C. Gee https://www.insight-journal.org/browse/publication/707
Definition at line 47 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Setup for member function dispatching
Definition at line 196 of file sitkLabelOverlapMeasuresImageFilter.h.
Define the pixels types supported by this filter
Definition at line 59 of file sitkLabelOverlapMeasuresImageFilter.h.
Definition at line 49 of file sitkLabelOverlapMeasuresImageFilter.h.
|
virtual |
Destructor
| itk::simple::LabelOverlapMeasuresImageFilter::LabelOverlapMeasuresImageFilter | ( | ) |
Default Constructor that takes no arguments and initializes default parameters
| void itk::simple::LabelOverlapMeasuresImageFilter::Execute | ( | const Image & | image1, |
| const Image & | image2 | ||
| ) |
Execute the filter on the input images
|
private |
|
inline |
Get the mean overlap (Dice coefficient) for the specified individual label.
This is a measurement. Its value is updated in the Execute methods, so the value will only be valid after an execution.
Definition at line 169 of file sitkLabelOverlapMeasuresImageFilter.h.
|
inline |
Get the mean overlap (Dice coefficient) for the specified individual label.
This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.
Definition at line 178 of file sitkLabelOverlapMeasuresImageFilter.h.
|
inline |
Get the false negative error for the specified individual label.
This is a measurement. Its value is updated in the Execute methods, so the value will only be valid after an execution.
Definition at line 67 of file sitkLabelOverlapMeasuresImageFilter.h.
|
inline |
Get the false negative error for the specified individual label.
This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.
Definition at line 76 of file sitkLabelOverlapMeasuresImageFilter.h.
|
inline |
Get the false positive error for the specified individual label.
This is a measurement. Its value is updated in the Execute methods, so the value will only be valid after an execution.
Definition at line 84 of file sitkLabelOverlapMeasuresImageFilter.h.
|
inline |
Get the false positive error for the specified individual label.
This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.
Definition at line 93 of file sitkLabelOverlapMeasuresImageFilter.h.
|
inline |
Get the union overlap (Jaccard coefficient) for the specified individual label.
This is a measurement. Its value is updated in the Execute methods, so the value will only be valid after an execution.
Definition at line 152 of file sitkLabelOverlapMeasuresImageFilter.h.
|
inline |
Get the union overlap (Jaccard coefficient) for the specified individual label.
This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.
Definition at line 161 of file sitkLabelOverlapMeasuresImageFilter.h.
|
inline |
Get the mean overlap (Dice coefficient) for the specified individual label.
This is a measurement. Its value is updated in the Execute methods, so the value will only be valid after an execution.
Definition at line 101 of file sitkLabelOverlapMeasuresImageFilter.h.
|
inline |
Get the mean overlap (Dice coefficient) for the specified individual label.
This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.
Definition at line 110 of file sitkLabelOverlapMeasuresImageFilter.h.
|
inlinevirtual |
Name of this class
Implements itk::simple::ProcessObject.
Definition at line 182 of file sitkLabelOverlapMeasuresImageFilter.h.
|
inline |
Get the union overlap (Jaccard coefficient) for the specified individual label.
This is a measurement. Its value is updated in the Execute methods, so the value will only be valid after an execution.
Definition at line 118 of file sitkLabelOverlapMeasuresImageFilter.h.
|
inline |
Get the union overlap (Jaccard coefficient) for the specified individual label.
This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.
Definition at line 127 of file sitkLabelOverlapMeasuresImageFilter.h.
|
inline |
Get the volume similarity for the specified individual label.
This is a measurement. Its value is updated in the Execute methods, so the value will only be valid after an execution.
Definition at line 135 of file sitkLabelOverlapMeasuresImageFilter.h.
|
inline |
Get the volume similarity for the specified individual label.
This is an active measurement. It may be accessed while the filter is being executing in command call-backs and can be accessed after execution.
Definition at line 144 of file sitkLabelOverlapMeasuresImageFilter.h.
|
virtual |
Print ourselves out
Reimplemented from itk::simple::ProcessObject.
|
friend |
Definition at line 200 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Definition at line 230 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Definition at line 206 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Definition at line 210 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Definition at line 235 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Definition at line 226 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Definition at line 214 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Definition at line 202 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Definition at line 232 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Definition at line 208 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Definition at line 212 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Definition at line 228 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Definition at line 216 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Definition at line 220 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Definition at line 224 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Definition at line 218 of file sitkLabelOverlapMeasuresImageFilter.h.
|
private |
Definition at line 222 of file sitkLabelOverlapMeasuresImageFilter.h.


Lucknow police lodge FIR against Ansals, two others
This comes a day after Chief Minister Yogi Adityanath summoned the minister.
by Express News ServiceTWO days after a controversy erupted over the recording of a purported phone call in which minister Swati Singh allegedly threatened a police officer for registering an FIR against real estate giant Ansal, Lucknow police on Sunday registered an FIR against Ansal API chairman Sushil Ansal, his son and vice-chairman Pranav Ansal and two others.
This comes a day after Chief Minister Yogi Adityanath summoned the minister.
Station House Officer (Lucknow PGI) Ashok Kumar Saroj said the FIR against Sushil Ansal, Pranav and two others — Arun Mishra and Sushil Singh — has been filed under IPC sections 420 (cheating), 406 (criminal breach of trust), 504 (intentional insult with intent to provoke breach of the peace) and 506 (criminal intimidation).


| font_face {bslib} | R Documentation |
bs_theme()
When used with any of the main font settings in bs_theme()
(e.g.,
base_font
, code_font
, heading_font
), these font objects ensure relevant
font file resources are included with the theme. A particular font object should
define an single font family
— if you need multiple families, a list()
of
font objects may be provided to bs_theme()
.
font_face( family, src, weight = NULL, style = NULL, display = c("swap", "auto", "block", "fallback", "optional"), stretch = NULL, variant = NULL, unicode_range = NULL ) font_link(family, href) font_google( family, local = TRUE, cache = sass_file_cache(dir = cache_context_dir(), max_size = 100 * 1024^2), wght = NULL, ital = NULL, display = c("swap", "auto", "block", "fallback", "optional") )
family |
A character string with a single font family name. |
src |
A character vector for the |
weight |
A character (or numeric) vector for the |
style |
A character vector for the |
display |
the |
stretch |
A character vector for the |
variant |
A character vector for the |
unicode_range |
A character vector for |
href |
A URL resource pointing to the font data. |
local |
Whether or not download and bundle local (woff) font files. |
cache |
A |
wght |
One of the following:
|
ital |
One of the following:
|
a list with a special class.
With local (i.e., self-hosted) fonts, clients (i.e., end users) can render
fonts without an internet connection. By default, google_font()
will
automatically download, cache, and serve font files locally. Non-Google fonts
may also be served locally, but you'll have to download and serve local file
using something like shiny::addResourcePath()
(or similar) and provide the
relevant files to a font_face()
definiton.
With remotely hosted fonts, clients (i.e., end users) need an internet
connection to render the fonts. Remote fonts can be implemented using
font_google(..., local = FALSE)
(hosted via Google), font_link()
(hosted
via href
URL), or font_face()
(hosted via src
URL).
https://developer.mozilla.org/en-US/docs/Web/CSS/@font-face
https://developer.mozilla.org/en-US/docs/Learn/CSS/Styling_text/Web_fonts
https://developers.google.com/fonts/docs/css2
# If you have an internet connection, running the following code # will download, cache, and import the relevant Google Font files # for local use theme <- bs_theme( base_font = font_google("Fira Sans"), code_font = font_google("Fira Code"), heading_font = font_google("Fredoka One") ) if (interactive()) { bs_theme_preview(theme) } # Three different yet equivalent ways of importing a remotely-hosted Google Font a <- font_google("Crimson Pro", wght = "200..900", local = FALSE) b <- font_link( "Crimson Pro", href =<EMAIL_ADDRESS>) url <- "https://fonts.gstatic.com/s/crimsonpro/v13/q5uDsoa5M_tv7IihmnkabARboYF6CsKj.woff2" c <- font_face( family = "Crimson Pro", style = "normal", weight = "200 900", src = paste0("url(", url, ") format('woff2')") ) theme <- bs_theme(base_font = c) if (interactive()) { bs_theme_preview(theme) }


Get Topic Attributes Result. More...
Inherits SNSResponse.
Public Member Functions | |
| (id) | - init |
| Default constructor for a new object. | |
| (NSString *) | - description |
| Returns a string representation of this object; useful for testing and debugging. | |
Properties | |
| NSMutableDictionary * | attributes |
| A map of the topic's attributes. |
Get Topic Attributes Result.
| - (NSString * SNSGetTopicAttributesResponse.)description |
Returns a string representation of this object; useful for testing and debugging.
| - (id SNSGetTopicAttributesResponse.)init |
Default constructor for a new object.
Callers should use the property methods to initialize this object after creating it.
- (NSMutableDictionary *) attributes [read, write, retain] |
A map of the topic's attributes.
Attributes in this map include the following:


{% set pagetitle = "How to make
rehydration drink" %}
{% set seq_length = 3 %}
{% set seq_position = 1 %}
{% set seq_llink = "javascript:;" %} ## set rlink equal to next page href
{% set seq_rlink = "How_to_make_rehydration_drink2.html" %} ## set llink equal to previous page href
{% extends "templates.jinja/base.page-with-sequence.html" %}
{% block title %} Hesperian - Pregnancy & Birth{% endblock %}
{% block id %}How_to_make_rehydration_drink1{% endblock %}
{% block content %}
There are 2 ways of making rehydration drink. Both are good to give to any woman in labor, especially if she has a fever or has been in labor for a long time. If you can, add half a cup of fruit juice, coconut water, or mashed ripe banana to either drink.
Give the person sips of this drink every 5 minutes, day and night, until she begins to urinate normally. A large person needs 3 or more liters a day. Keep giving the drink often, and in small sips. Even if she vomits, not all of the drink will be vomited.
{% endblock %} {% block footer %} {% endblock %}


Specifies constraints on the subjects used in classifications.
You use the topicSubjectHeader element to supply a header row for a topic classification table when you want to allow only specific kinds of subjects in each column. To specify a facet classification, each cell in the header row can identify a subject topic that must be the ancestor in some scheme for the subjects in the same column within the classification rows. For instance, if the cell within the header row specifies a User Action subject, the subjects in the column must be kinds of user actions.
( (topicCell) then (subjectCell) (one or more))


THE GLEANERS AND I (Les Glaneurs et la Glaneuse)
Septuagenarian filmmaker Agnes Varda ("Vagabond"), frequently called the grandmother of the French New Wave, caught a bit on television about the amount of money lost by a wheat farmer if his combine wasn't adjusted properly. This made Varda, an art lover, recall the famous Millet painting 'Les Glaneuses' and the idea of taking to the road to investigate this rural activity and its modern counterparts gave birth to her award winning documentary, "The Gleaners and I."
Varda's film is an unusual combination of a diary reflecting on her own aging, a road trip, and the documentation of the economic, societal, cultural and artistic reasons that people have for gathering the refuse of others. While sometimes Varda's digressions indulgently stray too far from her main theme, for the most part she's found a rhythm that can tie rural, post-harvest gleaning to a court case involving homeless youngesters who vandalized a market. When she veers from a family who've discovered an abandoned vineyard to spend a minute on her own camcorder's dangling lens cap, frustration felt by the viewer is quickly assuaged by her good natured spirit.
Of course, Varda makes a point that filmmakers themselves are gleaners, and that dancing lens cap footage may just be proof that one man's wasted videotape is another's art. Varda uses famous paintings of gleaners to segue to stories of artists who recycle trash to create new works. Then, in another aside, Varda ventures into a second store because she's charmed by the sign (''curios' is common, but 'finds' is more inviting,' she says) and fatefully discovers an oil painting of gleaners in the field!
Varda has conversations with the many types of gleaners she comes across. There's a chef who charges $100 a plate for meals he prepares from his gleanings and a financially secure man who only eats from the trash in protest of the waste he sees all around him. A funny sequence gets as many interpretations of the law that governs the gleaning around oyster beds as people providing them. Varda admires a 'Trash is Beautiful' educational program that teaches kids about recycling, then notes that they're only exposed to pretty pieces of plastic and have probably never shook the hand of a garbageman.
At 82 minutes, "The Gleaners and I" covers a lot of territory. Not only does it provoke thoughts about waste in general, it engages us with an impish senior still breaking new ground in the art of filmmaking. As Varda cuts from a shot of her own wrinkled hand to a Rembrandt, she reflects 'It's always the same, a self portrait.'
B+
For more Reeling reviews visit www.reelingreviews.com
<EMAIL_ADDRESS><EMAIL_ADDRESS>========== X-RAMR-ID: 28726 X-RT-AuthorID: 1487 X-RT-TitleID: 1105595 X-RT-RatingText: B+
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Extension require these scopes to be enabled for given token: read_user, read_api.
If for some reason you use some dummy users in groups, here you can exclude them from view.


Pied Piper
your minimal image compressor
Drop your .jpg or .png files here
up to 20 images, max 4 MB each


How to give orders?
EMAIL<EMAIL_ADDRESS>with your order!

- Choose a design from the gallery
- Or choose a design from anywhere :)
- Tell us how you want to customize the design
- Mix and match Pendants and jhumkas as you Wish!
- Tell us how the painting job should be
- we are ready to do whatever you want us to do!
- Just send us an email of your vision (send a pic or the link) to<EMAIL_ADDRESS>- Then, we will reply with the cost and the required procedures
- After the payment is done, we will give you a code which you can use to track your product's status
- Then, leave the rest to us as we will make your vision into a reality


[1]
overall i 'd have no problem staying here again a cheap.
[2]
i stopped for the same block that 's also quite cheap.


ParamSpecString
open class ParamSpecString : ParamSpec, ParamSpecStringProtocol
The ParamSpecString
type acts as a reference-counted owner of an underlying GParamSpecString
instance.
It provides the methods that can operate on this data type through ParamSpecStringProtocol
conformance.
Use ParamSpecString
as a strong reference or owner of a GParamSpecString
instance.
A GParamSpec
derived structure that contains the meta data for string
properties.
-
Designated initialiser from the underlying
C
data type. This creates an instance without performing an unbalanced retain i.e., ownership is transferred to theParamSpecString
instance.Declaration
Swift
public init(_ op: UnsafeMutablePointer<GParamSpecString>)
Parameters
op
pointer to the underlying object
-
Designated initialiser from the underlying
C
data type. Will retainGParamSpecString
. i.e., ownership is transferred to theParamSpecString
instance.Declaration
Swift
public init(retaining op: UnsafeMutablePointer<GParamSpecString>)
Parameters
op
pointer to the underlying object
-
Reference intialiser for a related type that implements
ParamSpecStringProtocol
Will retainGParamSpecString
.Declaration
Swift
public init<T>(paramSpecString other: T) where T : ParamSpecStringProtocol
Parameters
other
an instance of a related type that implements
ParamSpecStringProtocol
-
Unsafe typed initialiser. Do not use unless you know the underlying data type the pointer points to conforms to
ParamSpecStringProtocol
.Declaration
Swift
override public init<T>(cPointer p: UnsafeMutablePointer<T>)
Parameters
cPointer
pointer to the underlying object
-
Unsafe typed, retaining initialiser. Do not use unless you know the underlying data type the pointer points to conforms to
ParamSpecStringProtocol
.Declaration
Swift
override public init<T>(retainingCPointer cPointer: UnsafeMutablePointer<T>)
Parameters
cPointer
pointer to the underlying object
-
Unsafe untyped initialiser. Do not use unless you know the underlying data type the pointer points to conforms to
ParamSpecStringProtocol
.Declaration
Swift
override public init(raw p: UnsafeRawPointer)
Parameters
p
raw pointer to the underlying object
-
Unsafe untyped, retaining initialiser. Do not use unless you know the underlying data type the pointer points to conforms to
ParamSpecStringProtocol
.Declaration
Swift
override public init(retainingRaw raw: UnsafeRawPointer)
-
Unsafe untyped initialiser. Do not use unless you know the underlying data type the pointer points to conforms to
ParamSpecStringProtocol
.Declaration
Swift
override public init(raw p: UnsafeMutableRawPointer)
Parameters
p
mutable raw pointer to the underlying object
-
Unsafe untyped, retaining initialiser. Do not use unless you know the underlying data type the pointer points to conforms to
ParamSpecStringProtocol
.Declaration
Swift
override public init(retainingRaw raw: UnsafeMutableRawPointer)
Parameters
raw
mutable raw pointer to the underlying object
-
Unsafe untyped initialiser. Do not use unless you know the underlying data type the pointer points to conforms to
ParamSpecStringProtocol
.Declaration
Swift
override public init(opaquePointer p: OpaquePointer)
Parameters
p
opaque pointer to the underlying object
-
Unsafe untyped, retaining initialiser. Do not use unless you know the underlying data type the pointer points to conforms to
ParamSpecStringProtocol
.Declaration
Swift
override public init(retainingOpaquePointer p: OpaquePointer)
Parameters
p
opaque pointer to the underlying object


dockerfile 2.2.0 released
Typed interface for constructing Docker container descriptions
Docker is a container manager that can build images
automatically by reading the instructions from a Dockerfile
. A Dockerfile is
a text document that contains all the commands you would normally execute
manually in order to build a Docker image. By calling docker build
from your
terminal, you can have Docker build your image step-by-step, executing the
instructions successively. Read more at http://docker.com
This library provides a typed OCaml interface to generating Dockerfiles programmatically without having to resort to lots of shell scripting and awk/sed-style assembly.
- HTML Documentation: https://avsm.github.io/ocaml-dockerfile
- Source:: https://github.com/avsm/ocaml-dockerfile
- Issues: https://github.com/avsm/ocaml-dockerfile/issues
- Email: mirageos-devel@lists.xenproject.org


We now take a short detour away from mirror descent, and instead examine how a special class of metric spaces called ultrametrics control the competitive ratio of MTS in general metric spaces. Hold onto your seats; we’re about to compress two decades and 10 papers into a few paragraphs. For the sake of continuity, bibliographic remarks are held to the end of the post.
Metric approximations
For a metric space $(X,d)$, let $\alpha_{\mathrm{mts}}(X,d)$ denote the best (randomized) competitive ratio for MTS on $(X,d)$. Suppose $D$ is some other metric on $X$ that satisfies
\begin{equation}\label{eq:distortion} \frac{D(x,y)}{K} \leq d(x,y) \leq D(x,y) \qquad \forall x,y \in X\,. \end{equation}
Then it is straightforward to verify that $\alpha_{\mathrm{mts}}(X,d) \leq K \cdot \alpha_{\mathrm{mts}}(X,D)$.
But there is a weaker form of approximation that still allows for such a conclusion. Suppose that $\mathbf{D}$ is a random metric that satisfies, for every $x,y \in X$:
- With probability one, $\mathbf{D}(x,y) \geq d(x,y)$,
- $\mathbb{E}\left[\mathbf{D}(x,y)\right] \leq K \cdot d(x,y)$.
If $\alpha_{\mathrm{mts}}(X,\mathbf{D}) \leq \alpha$ with probability one, we claim that $\alpha_{\mathrm{mts}}(X,d) \leq K \alpha$.
The algorithm achieving this is as follows: Sample the random metric $\mathbf{D}$. Now given a cost sequence $\left\langle c_t : X \to \mathbb{R}_+ \mid t \geq 1\right\rangle$, let $\left\langle x_0, x_1, x_2, \ldots \right\rangle$ be the random sequence of points produced by an $\alpha$-competitive randomized algorithm for $(X,\mathbf{D})$. Then:
\[ \mathbb{E}\left[\sum_{t=1}^T \left.\vphantom{\bigoplus} \mathbf{D}(x_t, x_{t-1}) \ \right| \mathbf{D}\right] \leq \alpha \sum_{t=1}^T \mathbf{D}\!\left(x_t^{*}, x_{t-1}^{*}\right) + O(1)\,, \]
where $\left\langle x_t^* : t \geq 0\right\rangle$ is an optimal offline sequence for $(X,d)$. (This may not be the optimal sequence for $(X,\mathbf{D})$, but the algorithm is certainly competitive against non-optimal sequences as well.)
Note that the expectation here is taken only with respect to the randomness in the online algorithm. If we take expectation with respect to $\mathbf{D}$ as well, it follows that
\[ \mathbb{E}\left[\sum_{t=1}^T d(x_t, x_{t-1})\right] \leq \alpha \mathbb{E}\left[\sum_{t=1}^T \mathbf{D}\left(x_t^{*}, x_{t-1}^{*}\right)\right] + O(1) \leq K \alpha \sum_{t=1}^T d\!\left(x_t^{*}, x_{t-1}^{*}\right) + O(1)\,, \]
where we have used property (1) of $\mathbf{D}$ for the LHS and property (2) to bound the RHS.
Ultrametrics
Let $T=(V,E)$ be a finite, rooted tree, and let $\mathcal{L}$ denote the leaves of $T$. Suppose $w : V\setminus \mathcal{L} \to \mathbb{R}_+$ is a function that assigns positive weights to the internal vertices of $T$ such that the vertex weights are non-increasing along root-leaf paths. Then one can define a distance on $\mathcal{L}$ by [ d_w\left(\ell,\ell’\right) \mathrel{\vcenter{:}}= w\left(\mathrm{lca}(\ell,\ell’)\right). ] This is an ultrametric on $\mathcal{L}$ (and all finite ultrametrics arise in this way).
It turns out that ultrametrics essentially control the competitive ratio for metrical task systems on finite metric spaces. This follows from the next two facts that hold for an arbitrary $n$-point metric space $(X,d)$.
There is a random ultrametric $\mathbf{D}$ on $(X,d)$ such that (1) and (2) are satisfied with $K \leq O(\log n)$.
By our earlier remarks, this implies that the competitive ratio for MTS on $(X,d)$ is at most $O(\log n)$ times the competitive ratio for $n$-point ultrametrics.
There is a subset $X' \subseteq X$ with $|X'| \geq \sqrt{n}$ and an ultrametric $D$ on $X'$ such that \eqref{eq:distortion} is satisfied with $K \leq O(1)$.
Since $\alpha_{\mathrm{mts}}(X,d) \geq \alpha_{\mathrm{mts}}(X’,d) \geq \Omega(\alpha_{\mathrm{mts}}(X’,D))$, lower bounds on the competitive ratio for ultrametrics yield lower bounds for $(X,d)$ as well. Finally, we remark that MTS on ultrametrics is now well-understood.
If $(X,D)$ is an $n$-point ultrametric, then \[ \Omega\left(\frac{\log n}{\log \log n}\right) \leq \alpha_{\mathrm{mts}}(X,D) \leq O(\log n)\,. \]
There are ultrametrics (e.g., as we have seen already, when $(X,D)$ is the uniform metric) for which the $O(\log n)$ upper bound in Theorem 3 is tight. Whether the LHS can be made $\Omega(\log n)$ is an intriguing open problem; we will address it in the next lecture. In conjunction with Theorem 1 and Theorem 2, this yields:
For any $n$-point metric space $(X,d)$: \[ \Omega\left(\frac{\log n}{\log \log n}\right) \leq \alpha_{\mathrm{mts}}(X,d) \leq O((\log n)^2)\,. \]
Perhaps the central remaining open question for MTS on general metric spaces is whether the upper bound can be improved to $O(\log n)$.
Ultrametrics from partitions
Consider a partition $P$ of $X$. Say that $P$ is $\Delta$-bounded if $S \in P \implies \mathrm{diam}_X(S) \leq \Delta$. For a point $x \in X$, we write $P(x)$ for the unique set in $P$ that contains $x$.
Suppose now that $\mathcal{P} = \{ P_j : j \in \mathbb{Z} \}$ is a sequence of partitions of $X$ such that $P_j$ is $8^j$-bounded for every $j \in \mathbb{Z}$, and define the metric
\[ D_{\mathcal{P}}(x,y) \mathrel{\vcenter{:}}= \max \left\{ 8^{j+1} : P_j(x) \neq P_j(y) \right\}. \]
One can check that $D_{\mathcal{P}}$ is an ultrametric on $X$ (imagine the tree structure induced by the partitions), and moreover
\begin{equation}\label{eq:exp} D_{\mathcal{P}}(x,y) \geq d(x,y) \qquad \forall x,y \in X\,. \end{equation}
This follows from: $D_{\mathcal{P}}(x,y) \leq 8^j \implies P_j(x)=P_j(y) \implies d(x,y) \leq 8^j$.
Define $B(x,r) \mathrel{\vcenter{:}}= \{ y \in X : d(x,y) \leq r \}$ to be the ball of radius $r$ about $x \in X$.
Suppose $(X,d)$ is an $n$-point metric space. Then for every $\Delta > 0$, there is a random $\Delta$-bounded partition $P$ of $X$ such that for every $r \leq \Delta/8$:
\begin{equation}\label{eq:rp} \mathbb{P}\left[\vphantom{\bigoplus} B(x,r) \subseteq P(x)\right] \geq \exp\left(\frac{-8r}{\Delta} \log \frac{|B(x,\Delta)|}{|B(x,\Delta/8)|}\right). \end{equation}
Remarkably, the random partitioning lemma can be used to prove both Theorem 1 and Theorem 2. We will first establish these consequences and then prove the lemma.
Approximation by a random ultrametric
Let’s prove Theorem 1. Let $\mathcal{P} = \{ P_j : j \in \mathbb{Z} \}$ be the random sequence where $P_j$ results from the random partitioning lemma applied with $\Delta = 8^j$ and we take the partitions to be mutually independent. Then from \eqref{eq:exp}, we know $\mathbf{D}_{\mathcal{P}}(x,y) \geq d(x,y)$ for all $x,y \in X$. Now fix $x \neq y \in X$, and let $j_0 \mathrel{\vcenter{:}}= \min \{ j : 8^{j} \geq d(x,y) \}$. Then:
\[ \mathbb{E}\left[\mathbf{D}_{\mathcal{P}}(x,y)\right] \leq 8^{j_0+1} + \sum_{j > j_0} \mathbb{P}[P_j(x) \neq P_j(y)] 8^{j+1}, \]
and using $\mathbb{P}[P_j(x) = P_j(y)] \geq \mathbb{P}[B(x, d(x,y)) \subseteq P_j(x)]$ yields
\begin{align*} \sum_{j > j_0} \mathbb{P}[P_j(x) \neq P_j(y)] 8^{j+1} &\leq \sum_{j \in \mathbb{Z}} 8^{j+2} \frac{d(x,y)}{8^{j}} \log \frac{|B(x, 8^j)|}{|B(x,8^{j-1})|} \\ &\leq 64\, d(x,y) \sum_{j \in \mathbb{Z}} \log \frac{|B(x, 8^j)|}{|B(x,8^{j-1}|} \\ &= 64 \,d(x,y) \log n\,. \end{align*}
where the second inequality follows from \eqref{eq:rp} and the fact that $e^{-x} \geq 1-x$, and in the last inequality we evaluate a telescoping sum.
Finding a large approximate ultrametric inside $X$
Now we prove Theorem 2. Let $\mathcal{P}$ be the same random partition sequence chosen above and fix some $0 < \e < 1/8$. Define the random subset:
\[ \mathbf{S} \mathrel{\vcenter{:}}= \left\{ x \in X : B(x, \e 8^j) \subseteq P_j(x) \ \forall j \in \mathbb{Z}\right\}\,. \]
We claim that
\[ D_{\mathcal{P}}(x,y) \geq d(x,y) \geq \frac{\e}{8} D_{\mathcal{P}}(x,y) \qquad \forall x,y \in \mathbf{S}\,. \]
The LHS is simply from \eqref{eq:exp}. For the RHS, observe that if $D_{\mathcal{P}}(x,y)=8^{j+1}$, then $P_j(x) \neq P_j(y)$, hence $B(x,\e 8^j) \subseteq P_j(x) \implies d(x,y) \geq \e 8^j$.
Now the random partitioning lemma gives, for any $x \in X$,
\[ \mathbb{P}[x \in \mathbf{S}] \geq \prod_{j \in \mathbb{Z}} \exp\left(- 8\e \log \frac{|B(x,8^j)|}{|B(x,8^{j-1})|}\right) = \exp\left(-8 \e \log n\right) = n^{-8\e}\,. \]
By linearity of expectation: $\mathbb{E}[|\mathbf{S}|] \geq n^{1-8\e}$. Taking $\e \mathrel{\vcenter{:}}= 1/16$ completes the proof.
Proof of the random partitioning lemma
Let $\mathbf{R} \in [\Delta/4,\Delta/2]$ be chosen uniformly, and let $X = \{x_1, x_2, \ldots, x_n\}$ be a uniformly random ordering of the points in $X$. Our random partitioning is formed by iteratively carving out balls:
\begin{equation}\label{eq:ckr} P \mathrel{\vcenter{:}}= \left\{ B(x_i, \mathbf{R}) \setminus \bigcup_{j < i} B(x_j, \mathbf{R}) : i=1,2,\ldots,n\right\}. \end{equation}
Clearly $P$ is $\Delta$-bounded by construction.
Fix $r \leq \Delta/8$ and observe first that
\[ \mathbb{P}\left[B(x,r) \subseteq P(x) \mid \mathbf{R}\right] \geq \frac{|B(x,\mathbf{R}-r)|}{|B(x,\mathbf{R}+r)|}. \]
This follows because if we condition on $\mathbf{R}$, then only centers in $B(x,\mathbf{R}+r)$ can decide the fate of $B(x,r)$, and the corresponding cluster will contain all of $B(x,r)$ if the center lies in $B(x,\mathbf{R}-r)$.
Thus we have:
\begin{align*} \mathbb{P}\left[B(x,r) \subseteq P(x)\right] &\geq \mathbb{E}\left[\frac{|B(x,\mathbf{R}-r)|}{|B(x,\mathbf{R}+r)|}\right] \\ &= \mathbb{E}\left[\exp\left(- \log \frac{|B(x,\mathbf{R}+r)|}{|B(x,\mathbf{R}-r)|}\right)\right] \\ &\geq \exp \left(\mathbb{E}\left[- \log \frac{|B(x,\mathbf{R}+r)|}{|B(x,\mathbf{R}-r)|}\right]\right) \\ &\geq \exp\left(\frac{- 8 r}{\Delta} \log \frac{|B(x,\Delta)|}{|B(x,\Delta/8)|}\right)\,, \end{align*}
where the second inequality uses convexity of $e^{-x}$ and the last inequality comes from the calculation
\begin{align*} \mathbb{E}\left[ \log \frac{|B(x,\mathbf{R}+r)|}{|B(x,\mathbf{R}-r)|}\right] &= \frac{4}{\Delta} \int_{\Delta/4}^{\Delta/2} \log \frac{|B(x,R+r)|}{|B(x,R-r)|}\,dR \\ &\leq \frac{8r}{\Delta} \log \frac{|B(x,\Delta/2+r)|}{|B(x,\Delta/4-r)|} \\ &\leq \frac{8r}{\Delta} \log \frac{|B(x,\Delta)|}{|B(x,\Delta/8)|}\,, \end{align*}
using $r \leq \Delta/8$.
Historical remarks
The random embedding theorem (Theorem 1) is due to Fakcharoenphol, Rao, and Talwar. The first such result was proved by Bartal, and he later obtained a near-optimal bound of $O(\log n \log \log n)$ on the distortion. The use of random tree approximations of arbitrary metric spaces for online algorithms arose somewhat earlier in the work of Alon, Karp, Peleg, and West, specifically in relation to the $k$-server problem.
The metric Ramsey theorem (Theorem 2) is a result of Bartal, Linial, Mendel, and Naor, improving over an earlier bound of Bartal, Bollobas, and Mendel who established that one can take $|X’| \geq \exp(c \sqrt{\log n})$ for some $c > 0$.
The upper bound in Theorem 3 is from a forthcoming paper with Bubeck, Cohen, and Y. T. Lee, and improves the $O(\log n \log \log n)$ upper bound of Fiat and Mendel to the optimal value (up to a constant factor). The lower bound in Theorem 3 is from the aforementioned paper of Bartal, Bollobas, and Mendel; we will discuss it in the next lecture.
The random partitioning lemma and the proof of Theorem 2 presented here come from a paper of Mendel and Naor. This proof of the random partitioning lemma is somewhat cleaner than the one presented there. The (now famous) distribution on random partitions described in \eqref{eq:ckr} is from Calinescu, Karloff, and Rabani.


The quick start guide for Knappsack can be found Here
For a list of frequently asked questions and their answers please go to our FAQ page Here
If you want to ask a question, give us an idea, or just post a comment, please visit our support forums Here


JS Framework POC - Static HTML
Student 1
Student 2
Student 3
Add Students
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More to come ...


64
1 "Oh, if you had split open the heavens and come down! The mountains would have shook at your presence,
2 as when fire kindles the brushwood, or the fire makes water boil.

You were angry when we sinned. In your ways we will always be rescued.
6 For we have all become like one who is unclean, and all our righteous deeds are like a menstrual rag.
We have all withered like
leaves; our iniquities, like the wind, carry us away.
7 There are none who call on your name, who makes an effort to take hold of you;
for you have hidden your face from us and have handed us over to our sins.
8 And yet, Yahweh, you are our father;
we are the clay. You are our potter; and we all are the work of your hand.
9 Be not too angry, Yahweh, nor always call to mind against us our sins.
Please look at us all, your people.
10 Your holy cities have become a wilderness;
Zion has become a wilderness, Jerusalem a desolation.
11 Our holy and beautiful temple, where our fathers praised you,
has been destroyed by fire, and all that was so dear is in ruins.
12 How can you still hold back, Yahweh? How can you remain silent and continue to humiliate us?"


|
Filename$ - Name of the file containing the model to load.
Parent (optional) - Specify an entity to act as a Parent to the loaded mesh. |
|
LoadAnimMesh, similar to LoadMesh, Loads a mesh from an .X, .3DS or .B3D file and returns a mesh handle.
The difference between LoadMesh and LoadAnimMesh is that any hierarchy and animation information present in the file is retained. You can then either activate the animation by using the Animate command or find child entities within the hierarchy by using the FindChild(), GetChild() functions. The optional parent parameter allows you to specify a parent entity for the mesh so that when the parent is moved the child mesh will move with it. However, this relationship is one way; applying movement commands to the child will not affect the parent. Specifying a parent entity will still result in the mesh being created at position 0,0,0 rather than at the parent entity's position. |
|
; LoadAnimMesh Example
; -------------------- ; In this example we will demonstrate the use of the LoadAnimMesh command. ; Quite simply, we will load an anim mesh from file, animate it, and then view it. Graphics3D 640,480 SetBuffer BackBuffer() camera=CreateCamera() PositionEntity camera,0,20,-100 ; position camera so that robot will be in view when loaded light=CreateLight() RotateEntity light,90,0,0 ; Load anim mesh robot=LoadAnimMesh("media/makbot/mak_robotic.3ds") ; Animate mesh - this will begin an animation sequence which is updated when UpdateWorld is called Animate robot,2 While Not KeyDown(1) UpdateWorld ; Update anim - without this our anim mesh will freeze RenderWorld ; Render everything Flip ; Show everything Wend End |


This class is used to read cpu data for the widget. More...
#include <cpudataquery.h>
Public Member Functions | |
| CpuDataQuery () | |
| The constructor. | |
| ~CpuDataQuery () | |
| The destructor. | |
| void | getData () |
| int | getNumberOfCores () |
| This procedure returns the number of cores. More... | |
| Public Member Functions inherited from DataQuery | |
| DataQuery () | |
| The constructor. | |
| virtual | ~DataQuery () |
| The destructor. | |
| void | setIndex (int index) |
| void | setMulti (bool value) |
Additional Inherited Members | |
| Public Attributes inherited from DataQuery | |
| int | m_index |
| int | m_multi |
| std::vector< std::vector< float > > | m_cache |
| The cache used to store all the data. | |
This class is used to read cpu data for the widget.
This class subclass DataQuery absatract class, it specialize it in order to read the cpu data. This class performs different queryies based on two values sets in the class which are L
|
virtual |
This function gather all the data needed and stores it internally in the cache attribute
Reimplemented from DataQuery.
| int CpuDataQuery::getNumberOfCores | ( | ) |
This procedure returns the number of cores.


{% extends "base.html" %} {% block title %}Editing "{{ original.title }}"{% endblock %} {% block content_title %}
Please correct the errors below:
{% endif %} {% endblock %} {% block sidebar %}All fields are required; tags should be separated with spaces, and you can use Markdown in the description for your snippet, but raw HTML will be removed.
Remember: by posting a snippet, you agree to let anyone make use of the code.
`code`


--- layout: post title: October 2012 Meeting categories: - nextmeeting tags: [] status: publish type: post published: true meta: _edit_last: '2' dsq_thread_id: '887870885' --- The October meeting is tomorrow! There are currently no scheduled presentations. If you would like to present something email the organizers or let us know on the mailing list. If there are no presentations for the meeting, it will be hosted like a droidhack where people can hack on stuff and ask questions. Presentations


| Hero | Player | Kills | Deaths | Assists | GPM | XPM | LH | DN | Net Worth | HD | HH | TD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| {{player.kills}} | {{player.deaths}} | {{player.assists}} | {{player.gold_per_min}} | {{player.xp_per_min}} | {{player.last_hits}} | {{player.denies}} | {{player.gold_spent+player.gold}} | {{player.hero_damage}} | {{player.hero_healing}} | {{player.tower_damage}} |


- PADDING_BORDER - Static variable in class graphics.rooms.controlsMenu.Controls
-
- PADDING_BORDER - Static variable in class graphics.rooms.credits.Credits
-
- PADDING_BORDER - Static variable in class graphics.rooms.mainMenu.MainMenu
-
- PADDING_BORDER - Static variable in class graphics.rooms.optionsMenu.OptionsMenu
-
- PADDING_BORDER - Static variable in class graphics.rooms.pauseMenu.PauseMenu
-
- PADDING_BORDER - Static variable in class graphics.rooms.rankMenu.RankMenu
-
- paintDigits(String, Point2D, Graphics) - Static method in class utils.PaintService
-
Method to paint digits, records and ranking
- paintDigitsColor(String, Point2D, Graphics, int) - Static method in class utils.PaintService
-
Method to paint colored digits on screen
- paintDigitsColor(String, Point2D, Graphics, int, int, int) - Static method in class utils.PaintService
-
Method for painting colored text on the screen at initial_position
position
- PaintService - Class in utils
-
- PaintService() - Constructor for class utils.PaintService
-
- PaintService.TYPE - Enum in utils
-
- paintText(String, Point2D, Graphics) - Static method in class utils.PaintService
-
Method for painting white text on the screen at initial_position position
- paintTextColor(String, Point2D, Graphics, int) - Static method in class utils.PaintService
-
Method for painting colored text on the screen at initial_position
position
- paintTextColor(String, Point2D, Graphics, int, int, int) - Static method in class utils.PaintService
-
Method for painting colored text on the screen at initial_position
position
- PATH - Static variable in class utils.SaveSystemService
-
- pause - Static variable in class graphics.rooms.controlsMenu.ControlsRepository
-
- pause() - Method in class graphics.rooms.game.Game
-
- pause() - Method in class graphics.rooms.Room
-
Pause the room
- pause - Variable in class logic.Input
-
- pause(Input.KEY, Input.KEY) - Static method in class logic.StatesMachine
-
Pause mode
- pause - Static variable in class sound.MusicRepository
-
- PAUSE_MUSIC - Static variable in class sound.SoundTrack
-
- PauseMenu - Class in graphics.rooms.pauseMenu
-
- PauseMenu(int, int, String) - Constructor for class graphics.rooms.pauseMenu.PauseMenu
-
- PauseMenu.selection - Enum in graphics.rooms.pauseMenu
-
- PauseMenuRepository - Class in graphics.rooms.pauseMenu
-
- PauseMenuRepository() - Constructor for class graphics.rooms.pauseMenu.PauseMenuRepository
-
- pauseScreen - Static variable in class logic.StatesMachine
-
- persistent() - Static method in class logic.StatesMachine
-
Pause the game
- PerspectiveBoundingBox - Class in logic.collisions
-
- PerspectiveBoundingBox(Point2D, Point2D) - Constructor for class logic.collisions.PerspectiveBoundingBox
-
Creates a perspective bounding box from two points
- pickedup - Variable in class logic.characters.Item
-
- pickedupSpriteStarted - Variable in class logic.characters.Item
-
- pickUp() - Method in class logic.characters.Item
-
Pick up the item
- pickupBomb - Static variable in class graphics.rooms.game.GameRepository
-
- pickupPower - Static variable in class graphics.rooms.game.GameRepository
-
- pickupSpeed - Static variable in class graphics.rooms.game.GameRepository
-
- PintableButton - Class in graphics.effects
-
- PintableButton(int, int, Room, String) - Constructor for class graphics.effects.PintableButton
-
- plane - Variable in class graphics.d3.SuperBomberman3D
-
- planeModel - Variable in class graphics.d3.SuperBomberman3D
-
- player - Static variable in class graphics.rooms.game.GameRepository
-
- player - Variable in class logic.characters.Bomb
-
- Player - Class in logic.characters
-
- Player(int, int, int, Room) - Constructor for class logic.characters.Player
-
- Point2D - Class in logic.collisions
-
- Point2D() - Constructor for class logic.collisions.Point2D
-
Creates a point in (0,0)
- Point2D(int, int) - Constructor for class logic.collisions.Point2D
-
Creates a point in (x,y)
- powerup - Static variable in class sound.MusicRepository
-
- POWERUP_SND - Static variable in class sound.SoundTrack
-
- prev_sprite_index - Variable in class logic.Objeto
-
- previous() - Method in class graphics.rooms.controlsMenu.Controls
-
Previous button
- previous() - Method in class graphics.rooms.mainMenu.MainMenu
-
Previous button
- previous() - Method in class graphics.rooms.pauseMenu.PauseMenu
-
Select previous button
- previous_image_index - Variable in class logic.Objeto
-
- previousColumn() - Method in class graphics.rooms.mainMenu.MainMenu
-
Previous column button
- processKey(Input.KEY, Input.KEY) - Method in class graphics.effects.slider.Slider
-
- processKey(Input.KEY, Input.KEY) - Method in class logic.characters.Enemy
-
- processKey(Input.KEY, Input.KEY) - Method in class logic.characters.Player
-
- processKey(Input.KEY, Input.KEY) - Method in class logic.Objeto
-
- putBomb() - Method in class logic.characters.Player
-
Puts a bomb on the tile the player is currently standing on top of
- putBomb - Static variable in class sound.MusicRepository
-
- PUTBOMB_SND - Static variable in class sound.SoundTrack
-


Models were ranked based on differences in AIC corrected for small sample size (ΔAIC c), weights and evidence ratios ( ER). Climate variable abbreviations can be found in the text or S1 Table.
Climate variable significance is indicated by
*( P < 0.05)
** ( P <0.01), and
*** ( P<0.001).


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NEW
YORK
BOTANICAL
GARUEN
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xi
15036
Dominican
Repub!
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YO/:
BOTANICAL
GARDEN
New
York
Botanical
Garden
1^05105
Panicum
spp.
Herbaceous,
forning
a
rosettej
fruiting
stea
about
20
cn
high,
flowers
green.
omaon
in
open
places.
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Ŕli.
16CC-1700
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I96S
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by
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the
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1605105
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


My Name is Wesley Grantham. I am from Bolivar TN, and I go to Jackson Christian School.
Things I Like
Movies
Drawing
Youtube
My Favorite Movies
Avengers Endgame: This movie is and always will be my favorite movie of all time. It's perfect in every way. The characters that you've watched from all these movies perfectly tie in to the epic conclusion that is this movie. It was something truly special that had never been done before.
Avengers Infinity War: I can't include Avengers Endgame without Infinity War. It wasn't as good of a movie as Endgame, but It was still fantastic.
Star Wars Return of the Jedi: This movie is my third favorite movie mainly because I find the characters slightly less compelling than that of the Avengers movies.
Doctor Strange: This movie is unlike any other movie I've ever seen. It has great characters, an even better story, and some of the best visual effects i've ever seen in a movie.
 I find it to be very fun and relaxing. My favorite things to draw are characters from movies or tv shows.
 I like to see the way certain people react to things whether that be games or movies. My favortie channel to watch on youtube is Mr. Beast.
Extra Things
I go to school at Jackson Christian.
I'm going to study to be a Forensic Medical Examiner when I go to college. My favorite school subject is science. I'm taking coding because I think it would be a good skill to learn. I also want to have knowledge in a lot of different areas and coding seemed like the next thing to learn.


Vishal is one of the members of our marketing team.Implementing the strategies in the best possible manner is his motive and he does it day in day out. Above all he is a very good manager and keeps every member in line respective of other's work.


Often network traffic can become corrupted in transfer. Holodeck allows you to simulate these errors through network corruption faults. Using this wizard you can simulate random corruption or find and replace interesting string to test network stream parsing.
Please see the following pages for more information on the network corruption fault wizard.
Creating a fault using Random Corruption


| Name | Age | Job |
Status
|
Actions |
|---|---|---|---|---|
United Resource - Area of focusUnited Resource - Area of focusCourse Name: Course progress in mobile Creator: Kumar Content Creator |
24 | Engineer | Review/Upcoming |
|
United CourseCourse |
26 | Engineer | Live |
|
United CourseCourse |
24 | Designer | Draft/Expired |
|
United CourseCourse |
24 | Designer | Unlisted |
|
United CourseCourse |
24 | Designer | Live/On going |
|
| Id | First Name | Last Name |
|---|---|---|
| {{c.id}} | {{c.firstname}} | {{c.lastname}} |


One of the advanced features of the DigitalEdge suite of tools is the notion of 'domain'. Domains provide a set of interpretations that may be applied to fields in schemas. An interpretation provides semantic meaning for a field.
As an example, an initial analysis of values for a single field would provide syntactic meaning. Differentiation between string and numeric values is realized. With further analysis a numeric value may be recognized to fit the pattern of a longitude or a latitude. Statistical analysis of a sufficient number of samples could narrow the finding down to either a longitude or latitude. With the discovery of both a longitude and latitude in a single record an interpretation of 'coordinate' can be applied. Further interpretation could lead to determining a country, state, or region code. This progressive analysis provides an interpretation that has significant semantic meaning that far exceeds simple syntactic recognition.
This process of refining the interpretation of a field or group of fields can be guided when considering a specific domain. A field "procedure code" in the 'Health' domain could have certain semantic meaning. The same field in the 'Aerospace' domain may be recognized as a published "waypoint".
Each domain in the Schema Wizard has a collection of pluggable, interpretation descriptors. The Interpretation Engine loads the appropriate collection as set by the data engineer for each Schema Wizard session. Thus interpretations can be refined to an appropriate semantic meaning for that domain. The Schema Wizard provides a Domain Manager for maintaining these descriptors.
Copyright © 2016 Leidos, Inc. All rights reserved.


At least 700 shacks destroyed by floods, people trapped in Mamelodi
Communities across the city are in dire need of help after being affected by the flooding.
by News24 WireFlooding in Mamelodi, Tshwane, 9 December 2019. Picture: Jacques Nellis
Residents of the Eerste Fabriek informal settlement in Mamelodi are pleading for help after at least 700 shacks were destroyed by the major floods that hit parts of Gauteng on Monday.
The informal settlement, which is situated along the banks of a river that flows through Mamelodi, felt the full brunt of the floods that have left many people homeless.
A resident of the settlement, Prince Mavhungu, said the flooding started on Sunday but got much worse during the early hours of the morning.
Likening it to a flash flood, Mavhungu said they tried to move people to a safer place on higher ground but failed to move everyone.
He added the Eerste Fabriek informal settlement had fallen victim to flooding in the past.
“These people placed themselves near the river where people are not supposed to live. This is about the third time it’s happened. They need accommodation and now they are flooded.
“We are pleading with the government to help us find an alternative safe place to move to. We live here because we have nowhere else to stay.”
By Monday afternoon, there were still people trapped in the informal settlement.
The head of communications in the City of Tshwane, Hilgard Matthews, said its rescue teams were on the scene and would be going into the informal settlement to assist those who are stranded.
He added communities across the city were in dire need of help after being affected by the flooding.
“So far no one has been reported as missing and we hope it remains that way. We don’t want anyone to drown during this flooding,” Matthews said.
Acting Gauteng Social Development MEC Panyaza Lesufi, who visited Eerste Fabriek on Monday afternoon, said all resources at the disposal of the province have been released to help deal with the aftermath of the floods.
This included emergency food, blankets and all other related material for families who are in distress.
“We can carry them for the next 48 hours until the situation is under control. We are also working with local authorities; I know the emergency team is here,” Lesufi told reporters.
He said the department had been inundated with calls from around Tshwane, and it had spread its resources to provide the necessary support.
“What is happening here is [a] very serious disaster and we need to find a way of assisting. I’m glad the local authorities are here, and the emergency services are here to rescue and assist us together in this situation.”


Please bear with us, this website is very much a work-in-progress. You're welcome to poke around and check back every now and then. We'd love to hear from you on the "Contact Us" page as well.
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More than 16,000 students are enrolled in Associate degree or certificate programs and another 10,000 students attend continuing education programs at Queensborough Community College.
Queensborough prepares students for an exciting new career or for transfer to a four-year program. In fact, more than half of Queensborough students transfer to a four-year CUNY institution after earning their Associate degrees.
Queensborough offers transfer programs, including dual-joint degree programs, as well as career and certificate programs, and your choice of program automatically enrolls you in one of five Queensborough Academies.
Let's go!Building Directory:
The Mathematics Learning Center is a tutoring and self-study facility accessible to all students. Open year round providing assistance for all mathematics and computer science courses, from the developmental to the advanced level.
Learn MoreThe Campus Writing Center (CWC) serves as a college-wide resource providing QCC students with FREE tutoring assistance for all English (EN) coursework, as well as any writing-related or WI assignment across the curriculum.
Learn MoreThe Student Learning Center provides a welcoming environment for students and faculty for teaching and learning. Offering a variety of research and educational resources, including technology, as well as support services.
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