Infomaster TutorialLesson 1: Overview |
Infomaster is an information integration system. It provides integrated access to distributed, heterogeneous information sources, thus giving its users the illusion of a centralized, homogeneous information system. Information consumers can ask questions, confident that the system will provide information from all relevant information sources. Authorized information suppliers can add information updates, confident that the system will distribute those updates appropriately.
Unlike many Web search engines, Infomaster is concerned exclusively with structured information. All of Infomaster's data comes from structured data sources, such as databases, structured files (using standards like XML), and application programs with data interfaces (using protocols like LDAP and X.500).
Second, Infomaster automatically integrates information from multiple information sources, providing a single answer to each question rather than a long list of potentially irrelevant or redundant documents. In handling updates, Infomaster automatically disseminates the new information to appropriate information consumers.
Third, Infomaster performs these functions in the face of differences in the structure and vocabulary (i.e. schemas) of the sources and providers. Dealing with heterogeneity of this sort requires some additional effort. However, once the initial effort is expended and without any further effort, it is possible for multiple parties to manage information using their own schemas yet automatically share that information with parties using other schemas.
All digital documents possess structure of one form or another. Meta-information about the "type" of a document dictates how the constituent bits are to be interpreted. This structure makes it possible for computers to interpret those documents and process them in useful ways.
As an example of this, consider an ordinary text file coded in ASCII. In such a file, the bits are interpreted as characters. This structure allows computers to display such files, format them, check for misspellings, and so forth. However, ASCII coding alone does not provide a way of interpreting the meaning of the text within such files. It says nothing about the concepts being discussed or their interrelationships.
As another example, consider image files. In this case, the bits are interpreted as pixels, and these pixels can be used to paint images on computer screens. However, an image file by itself does not directly reveal what kinds of objects are in the picture or what is going on in the scene.
The problem is that most documents in use today are only partially structured. Many documents contain information that humans can discern but that is not expressed in the document's explicit structure. Since this information is not explicit, it lies beyond the processing power of machines.
In an attempt to address this problem, information specialists have begun to shift their emphasis from relatively "unstructured" documents to semantically structured documents (those in which content is expressed explicitly), thus making that content accessible to the computer for processing.
As an example, consider a company database in which personnel and offices and phone numbers are explicitly represented, along with their relationships to each other. In this case, it is possible for a computer to find all personnel who share the same office or all personnel who share the same office but do not share the same phone number or all personnel who share an office with their managers, and so forth.
Without structured information, finding information on the World Wide Web can be time-consuming and error-prone. The user can search for relevant documents using a subject hierarchy (as in Yahoo) or by specifying one or more keywords to find in the body of the document (as in Google). In either case, the result is a potentially large list of sometimes relevant but sometimes irrelevant documents. The user must then peruse these documents himself in the hope of finding the desired information.
Furthermore, the interaction is almost invariably "pull" rather than "push". There is little support for notification of changes. The next day, the user must do his search again, to see whether anything has changed.
Finally, in such systems, there is no support for update. It is not possible for an authorized user to specify information and have it distributed to appropriate sources.
One important advantage of structured information is that it enables a solution to these shortcomings.
In Infomaster, the user can ask sophisticated questions and get answers instead of long and often incomplete lists of sometimes irrelevant documents. Information from multiple sources is automatically aggregated into a single document.
He can post a request to be notified if additional relevant information becomes available and be sure of receiving only relevant notifications and receiving them only once.
Infomaster also provides support for updates. In addition to local updates to individual information sources, it supports global updates -- it accepts new information from users and, provided the users are suitably authorized, ensures that that information is automatically disseminated to the appropriate information sources for automatic or manual update. Along the way, it is capable of sending notifications to users who have expressed interest in such changes.
One of the key features of Infomaster is its ability to deal with heterogeneity among the various suppliers and consumers of information. The problem of heterogeneity can be broken into two parts.
The first problem concerns the format of the data (e.g. XML, TDT, etc.) and/or the communication protocol (e.g. LDAP, ODBC, and so forth). There are a few dozen of these, and it is easy to deal with their differences by hand coding access modules. Also, we are seeing a move toward standardization on common formats, such as XML, that will diminish this problem in the future.
The second and more serious problem is conceptual heterogeneity, i.e. mismatches in the data structure and vocabulary used by different clients and sources, i.e. different words, different shapes and sizes of data tables. In technical terms, each organization is using its own schema for its data. While there are only a few dozen different formats, there can be thousands of different schemas. Integrated product information management requires mapping between these various schemas and keeping those mappings up-to-date.
The solution to the mapping problem is the use of relational logic. Relational logic provides the conceptual framework for data integration in much the same way that, twenty years ago, relational algebra provided the conceptual framework for relational databases.
Like relational algebra, relational logic allows one to write rules to express relationships between different schemas. However, relational algebra is restricted in that the underlying database is assumed to be complete. While this is possible within the confines of a single corporation, it is a bad assumption when dealing with the Internet. The primary advantage of relational logic is that it allows one to write partial mappings, i.e. constraints expressing partial information rather than complete definitions.
In Infomaster, all mapping information is encoded in rules. One can also write business rules for an individual company e.g. the fact that a company never uses non-corrosive metals in its products; and one can express industry knowledge as well, e.g. the fact that no-one puts Teflon on glass.
Capturing mapping information and business rules and industry knowledge in the form of rules has multiple benefits. Rules are modular; each source or client described by rules that do not interfere with those for other clients and suppliers. Rules are mechanically analyzeable to detect inconsistencies or incompleteness. Most importantly, rules are the basis for a simple graphical user interface that allows nonprogrammers encode mapping information, thus putting that job in the hands domain experts rather than programmers.
Standing behind Infomaster's use of relational logic is its data transformation technology. Using the rules supplied to the system, Infomaster ensures that queries or updates in any one known schema are translated accurately and completely to other schemas as appropriate.
Mapping data directly between end user schemas works well when there are just a few schemas involved. However, as the number of schemas grows, this approach becomes unwieldy. With 1000 clients and 1000 sources, there can be 1,000,000 mappings needed.
The solution to this problem is the use of Infomaster's master schema. In this approach, each end user schema is mapped to the master schema rather than to other end user schemas. This is a much more scalable approach. With 1000 consumers and 1000 suppliers, this approach requires only 2000 mappings.
Note that using a master schema does not mean that data must actually be written in the master schema. The master schema is used only as a reference in writing mapping rules. In handling a transaction, Infomaster uses these rules to synthesize the mapping necessary to transform the suppliers' data directly into the consumer's schema.
A major challenge in creating an Infomaster system is coming up with a suitable Master Schema. Inventing a schema for any application area is difficult. Inventing one for the entire WWW is a major challenge. The solution is to break the problem down into pieces, with responsibility for different parts falling on different organizations.
In this section, we look at a demonstration of Infomaster in action. The example is a system built in 1996 at the behest of the National Housewares Manufacturers Association. The goal was to create a virtual catalog for cookware, drawing information from the catalogs of manufacturers (in this case, Corning, Mirro, and Regal) and making the information available in integrated form to retailers (here Costco, Payless, and Sears).
Architecture. The system consists of databases of product information for each of the three suppliers and interfaces for each of the three buyers. Infomaster connects these various databases and interfaces together, ensuring integrated but customized access to each of the buyers.
Illustration 1. The opening page provides the user with two types of search. The high-level categories allow the user to search by category. The type-in box allows the user to search to search by keyword.
Illustration 2. Clicking on a category, such as Product, brings up a parameteric search page for products in that category. The lee Clicking on the triangle next to a category name expands that category to show its subcategories. This process can be repeated until one finds a sufficiently narrow category. In this case, we have expanded the Product category three times to get Domestic cookware.
Illustration 3. Clicking on a category name brings up a parametric search page. The left pane shows the category hierarchy. The middle pane shows attributes appropriate to the selected category, each with appropriate values. The right pane shows entries that match the search criteria specified. In this case, no attribute values are specified; and the system shows all 260 entries in the Cookware category.
Illustration 4. By selecting values for attributes, the set of possible answers is pared down. As each choice is made, the answers in the right pane are automatically refreshed. For example, selecting skillet decreases the possibilities to 60.
Illustration 5. Selecting Teflon for interior decreases the list to 49 items.
Illustration 6. Entering 15 inches for diameter narrows the set of solutions to just 5 products.
Illustration 7. Pressing the Display button brings up a table showing further information about the selected products.
Illustration 8. Clicking any link bring up an "Inspect" page containing of information about the associated concept. These pages are constructed on the fly from the databases available at the time. Each page contains information about a single concept and contains all information about that concept.
For example, clicking on Aluminum shows information about the material aluminum, such as its type (metallic), its possible uses (on the stove top and in the oven but not in the microwave), and the various products that contain aluminum.Illustration 9. Similarly, clicking on the name of a company brings up information about that company. For example, here we see that Corning is a US company. There is also a place for suppliers, but none are known.
Illustration 10. Clicking on Regal brings up analogous information. In this case, we see that Regal is a company in the UK. (This is not actually true, but this is just a demo.)
Illustration 11. Browsing works well when there are just a few entries, as in this case. However, when there are thousands of entries, it can be tedious. Parametric search works well when the features of interest are attributes of the type of item being sought. In some cases, the features are indirect, i.e. they are attributes of the values of attributes. Since the search in such cases involves items of multiple categories, it is often called "cross-category" search. In order to do cross-category searches in Infomaster, the user clicks on the small icon beside the Attribute name. This opens up a sub-search that allows the user to enter features of the value of that attribute. In this case, we have opened up the Manufacturer attribute to allow us to specify properties of companies.
Illustration 12. Here, we have gone further and opened up the Nationality attribute of companies to allow us to specify properties on countries. Clicking on North America here causes the system to display products with the specified features made by companies incorporated in countries on the North American continent. Note that there are only 4 answers. The Regal product is no longer an answer, as its manufacturer is incorporated in the UK.
Illustration 13. In order to illustrate Infomaster's support for conceptual heterogeneity, let's compare the source data for a product from one of the suppliers with the view available to one of the buyers. Here we have the supplier's view in the window on the left and the buyer's view in the window on the right. In the Regal catalog, the product is listed as a frying pan, whereas, in the Payless catalog, it is a skillet. In the Regal catalog, the interior and exterior are arc-sprayed, whereas in the Payless catalog, the surface is listed as Teflon. The Regal catalog contains diameter and height, both in inches, whereas the Payless catalog has capacity in quarts and diameter in inches. The Regal catalog lists Price in Pounds Sterling, whereas the Payless catalog lists the price in US dollars.
Illustration 14. Now, let's change some of the information about this product. We click on the Change button to convert the Inspect page into a Change page. Then we can make modifications, e.g. switching the product to be a steamer insert, changing the exterior to be Duracote, changing the price to 100 pounds.
Illustration 15. We then click on Change to send these changes to Infomaster. The Inspect page shows that the changes have been accepted. Of course, the Payless page is the same, since it has not been refreshed.
Illustration 16. However, clicking the Refresh button causes the new values to be displayed. The product is now listed as an accessory in the Payless terminology. Its exterior is still Teflon. However, the color, computed from the actual exterior material, is listed as black. Finally, the price has changed proportionally.
Illustration 17. Finally, let's take a look at Infomaster's ability to deal with incomplete information. One thing we know about Regal is that it makes its products out of just two materials, aluminum and stainless. Unfortunately, the Regal catalog does list any material for its products. Consequently, Infomaster cannot fill in this field. On the other hand, things are not so bleak. Let's consider what happens when we search for Regal products. Here we see the Payless search page. Selecting Regal as manufacturer gives 33 products.
Illustration 18. Naturally, clicking on Aluminum as material leads to zero hits, as none of the Regal products are known for sure to be made of aluminum.
Illustration 19. Similarly, clicking on stainless leads to zero hits.
Illustration 20. However, when we click both aluminum and stainless, all of the products reappear. Although Infomaster does not know exactly which material is in a product, it knows that in either case it satisfies the user's request.
Note that this is a very different answer than one would get from a traditional database system, where a disjunctive query like this one is handled by forming the union of the answers to queries formed from each disjunct. In this case, the result would be zero hits in a traditional database, despite the fact that all Regal products satisfy the user's request. Why is it that database systems do not provide the correct answer in this case? The fact is that most database systems were designed for use in corporate settings, where the data schema could be designed to ensure that no information is missing. Sadly, in the Internet setting, there is no overarching authority requiring that all fields be present. Yet we want to get as much information from the available databases as possible. The logical reasoning in Infomaster ensures that this criterion is met.


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Global Assessment of Functioning (GAF)
Reproduction of this task/scale is not permitted. This CamCOPS task is
a data collection tool only, with no scale text; use it only in conjunction
with a licensed copy of the original task.
Intellectual property rights to the GAF
- Copyright to the GAF held by the American Psychiatric Association
(confirmed in personal communication, APA to Rudolf Cardinal,
2013-03-21).
- Permission to reproduce the scale refused (personal communication, APA
to Rudolf Cardinal, 2013-03-21).
History
- Health-Sickness Rating Scale (HSRS), Luborsky 1962 Arch Gen Psych;
- then Global Assessment Scale (GAS): Endicott et al. (1976), PMID
938196, Arch Gen Psych (= American Medical Association);
- then GAS modified to become GAF as Axis V of DSM-III-R (APA,
1987);
- remains part of DSM-IV-TR (APA, 2000);
- also modified GAF (mGAF), Hall (1995), Psychosomatics (=
Elsevier).


Ouwen Zha's Homepage
Home
Introduce
My name is Ouwen Zha. I am Chinese.
History
University of Alberta
Computing Science Major Business Minor
What I can offer
Language: c++, python, java, php
3D Animation: 3D MAX, Blender
Important
This is Assignment 3 of CS410


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The MathJax Hub, MathJax.Hub, is the main control structure for MathJax. It is where input and output jax are tied together, and it is what handles processing of the MathJax <script> tags. Processing of the mathematics on the page may require external files to be loaded (when the mathematics includes less common functionality, for example, that is defined in an extension file), and since file loading is asynchronous, a number of the methods below may return before their actions are completed. For this reason, they include callback functions that are called when the action completes. These can be used to synchronize actions that require the mathematics to be completed before those actions occur. See the Using Callbacks documentation for more details.
This holds the configuration parameters for MathJax. Set these values using MathJax.Hub.Config() described below. The options and their default values are given in the Core Options reference page.
The minimum time (in milliseconds) between updates of the “Processing Math” message.
The hub processing signal (tied to the MathJax.Hub.Register.MessageHook() method).
MathJax’s main processing queue. Use MathJax.Hub.Queue() to push callbacks onto this queue.
The name of the browser as determined by MathJax. It will be one of Firefox, Safari, Chrome, Opera, MSIE, Konqueror, or unkown. This is actually an object with additional properties and methods concerning the browser:
The browser version number, e.g., "4.0"
These are boolean values that indicate whether the browser is running on a Macintosh computer or a Windows computer. They will both be false for a Linux computer.
These are true when the browser is the indicated one, and false otherwise.
This tests whether the browser version is at least that given in the version string. Note that you can not simply do a numeric comparison, as version 4.10 should be considered later than 4.9, for example. Similarly, 4.10 is different from 4.1, for instance.
This lets you perform browser-specific functions. Here, choices is an object whose properties are the names of the browsers and whose values are the functions to be performed. Each function is passed one parameter, which is the MathJax.Hub.Browser object. You do not need to include every browser as one of your choices — only those for which you need to do special processing. For example:
MathJax.Hub.Browser.Select(
MSIE: function (browser) {
if (browser.versionAtLeast("8.0")) {... do version 8 stuff ... }
... do general MSIE stuff ...
},
Firefox: function (browser) {
if (browser.isMac) {... do Mac stuff ... }
... do general Firefox stuff
}
);
Sets the configuration options (stored in MathJax.Hub.config) to the values stored in the options object. See Configuring MathJax for details on how this is used and the options that you can set.
| Parameters : |
|
|---|---|
| Returns : | null |
When delayStartupUntil is specified in the configuration file or in the script that loads MathJax.js, MathJax’s startup sequence is delayed until this routine is called. See Configuring MathJax for details on how this is used.
| Returns : | null |
|---|
Used by preprocessors to register themselves with MathJax so that they will be called during the MathJax.Hub.PreProcess() action.
| Parameters : |
|
|---|---|
| Returns : | null |
Registers a listener for a particular message being sent to the hub processing signal (where PreProcessing, Processing, and New Math messages are sent). When the message equals the type, the callback will be called with the message as its parameter.
| Parameters : |
|
|---|---|
| Returns : | null |
Registers a listener for a particular message being sent to the startup signal (where initialization and component startup messages are sent). When the message equals the type, the callback will be called with the message as its parameter. See the Using Signals documentation for more details.
| Parameters : |
|
|---|---|
| Returns : | null |
Registers a callback to be called when a particular file is completely loaded and processed. (The callback is called when the file makes its MathJax.Ajax.loadComplete() call.) The file should be the complete file name, e.g., "[MathJax]/config/default.js".
| Parameters : |
|
|---|---|
| Returns : | the callback object |
Pushes the given callbacks onto the main MathJax command queue. This synchronizes the commands with MathJax so that they will be performed in the proper order even when some run asynchronously. See Using Queues for more details about how to use queues, and the MathJax queue in particular. You may supply as many callback specifications in one call to the Queue() method as you wish.
| Parameters : |
|
|---|---|
| Returns : | the callback object for the last callback added to the queue |
Calls the preprocessors on the given element (or elements if it is an array of elements), and then typesets any math elements within the element. If no element is provided, the whole document is processed. The element is either the DOM id of the element, a reference to the DOM element itself, or an array of id’s or refereneces. The callback is called when the process is complete. See the Modifying Math section for details of how to use this method properly.
| Parameters : |
|
|---|---|
| Returns : | the callback object |
Calls the loaded preprocessors on the entire document, or on the given DOM element (or elements, if it is an array of elements). The element is either the DOM id of the element, a reference to the DOM element itself, or an array of id’s or references. The callback is called when the processing is complete.
| Parameters : |
|
|---|---|
| Returns : | the callback object |
Scans either the entire document or a given DOM element (or array of elements) for MathJax <script> tags and processes the math those tags contain. The element is either the DOM id of the element to scan, a reference to the DOM element itself, or an array of id’s or references. The callback is called when the processing is complete.
| Parameters : |
|
|---|---|
| Returns : | the callback object |
Scans either the entire document or a given DOM element (or elements if it is an array of elements) for mathematics that has changed since the last time it was processed, or is new, and typesets the mathematics they contain. The element is either the DOM id of the element to scan, a reference to the DOM element itself, or an array of id’s or references. The callback is called when the processing is complete.
| Parameters : |
|
|---|---|
| Returns : | the callback object |
Removes any typeset mathematics from the document or DOM element (or elements if it is an array of elements), and then processes the mathematics again, re-typesetting everything. This may be necessary, for example, if the CSS styles have changed and those changes would affect the mathematics. The element is either the DOM id of the element to scan, a reference to the DOM element itself, or an array of id’s or references. The callback is called when the processing is complete.
| Parameters : |
|
|---|---|
| Returns : | the callback object |
Returns a list of all the element jax in the document or a specific DOM element. The element is either the DOM id of the element, or a reference to the DOM element itself.
| Parameters : |
|
|---|---|
| Returns : | array of element jax objects |
Returns a list of all the element jax of a given MIME-type in the document or a specific DOM element. The element is either the DOM id of the element to search, or a reference to the DOM element itself.
| Parameters : |
|
|---|---|
| Returns : | array of element jax objects |
Returns a list of all the element jax associated with input <script> tags with the given MIME-type within the given DOM element or the whole document. The element is either the DOM id of the element to search, or a reference to the DOM element itself.
| Parameters : |
|
|---|---|
| Returns : | array of element jax objects |
Returns the element jax associated with a given DOM element. If the element does not have an associated element jax, null is returned. The element is either the DOM id of the element, or a reference to the DOM element itself.
| Parameters : |
|
|---|---|
| Returns : | element jax object or null |
Returns 0 if the element is not a <script> that can be processed by MathJax or the result of an output jax, returns -1 if the element is an unprocessed <script> tag that could be handled by MathJax, and returns 1 if the element is a processed <script> tag or an element that is the result of an output jax.
| Parameters : |
|
|---|---|
| Returns : | integer (-1, 0, 1) |
Inserts data from the src object into the dst object. The key:value pairs in src are (recursively) copied into dst, so that if value is itself an object, its content is copied into the corresponding object in dst. That is, objects within src are merged into the corresponding objects in dst (they don’t replace them).
| Parameters : |
|
|---|---|
| Returns : | the modified destination object |
This is called when an internal error occurs during the processing of a math element (i.e., an error in the MathJax code itself). The script is a reference to the <script> tag where the error occurred, and error is the Error object for the error. The default action is to insert an HTML snippet at the location of the script, but this routine can be overriden during MathJax configuration in order to perform some other action. MathJax.Hub.lastError holds the error value of the last error on the page.
| Parameters : |
|
|---|---|
| Returns : | null |


The body mass index (BMI) is a number calculated from a person's weight and height. BMI is a reliable indicator of body fatness for people. BMI does not measure body fat directly, but research han shwon that BMI correlates to direct measures of body fat. BMI is used as a screening tool to identify possible weight problems of adults.
| BMI | Result |
|---|---|
| < 15 | Very severely underweight |
| 15 - 16 | Severely underweight |
| 16 - 18.5 | Underweight |
| 18.5 - 25 | Normal (healthy weight) |
| 25 - 30 | Overweight |
| 30 - 35 | Obese Class I (Moderately obese) |
| 35 - 40 | Obese Class II (Severely obese) |
| > 40 | Obese Class III (Very Severely obese) |


Inscription B014
Index
Area Plan
MI Plan B
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Gothic top headstone with cross in shield shape at top. Headstone inscription
In Remembrance of
EDWARD DRUCE.
WHO DIED JANUARY 28
TH
1916
AGED 61 YEARS
Also of his wife,
MARLINE DRUCE,
WHO DIED DECEMBER 10
TH
1924
IN HER 67
TH
YEAR
Mason's mark on north side of headstone
BILES
WITNEY
Burial Register: B504 B601
The Parish Church of St. Mary, Cogges, Oxfordshire.
Copyright © St. Mary's Church Cogges Parochial Church Council, 2005
Updated 10th February 2005
Feedback


|
Finch C API
1
Documentation for the Finch's C Library
|
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
#include "Finch.h"
#include <windows.h>
#include "hidapi.h"
Macros | |
| #define | SEND 0 |
| #define | SEND_RECV 1 |
Functions | |
| void | Fin_Thread (void *arg) |
| int | Fin_Cmnd (int flag, char cmnd, unsigned char *buffer) |
| int | Fin_Init (void) |
| Fin_init(void). | |
| int | Fin_Exit (void) |
| Fin_Exit(void). | |
| int | Fin_Motor (int tenth, int left, int right) |
| Fin_Motor(tenth, left, right). | |
| int | Fin_Move (int tenth, int left, int right) |
| Fin_Move(tenth, left, right). | |
| int | Fin_Speed (int *left, int *right) |
| Fin_Speed(*left, *right). | |
| int | Fin_LED (int red, int green, int blue) |
| Fin_LED(red, green, blue). | |
| int | Fin_Buzzer (int msec, int freq) |
| Fin_Buzzer(msec, freq). | |
| int | Fin_Lights (int *left, int *right) |
| Fin_Lights(*left, *right). | |
| int | Fin_Obstacle (int *left, int *right) |
| Fin_Obstacle(*left, *right). | |
| int | Fin_Temp (float *temp) |
| Fin_Temp(*temp). | |
| int | Fin_Accel (float *x, float *y, float *z, int *tap, int *shake) |
| Fin_Accel(*x, *y, *z, *tap, *shake). | |
| char * | CheckForInput (void) |
| #define SEND 0 |
| #define SEND_RECV 1 |
| char* CheckForInput | ( | void | ) |
| int Fin_Accel | ( | float * | x, |
| float * | y, | ||
| float * | z, | ||
| int * | tap, | ||
| int * | shake | ||
| ) |
Fin_Accel(*x, *y, *z, *tap, *shake).
get acceleration values and tap/shaken flags
input: float *x/*y/*z = pointer where to return the acceleration for each axis returned value is in 'g' (in 1/1000 units) can be positive or negative int *tap/*shake = pointer where to return the tap/shaken flags returned value is 1 or 0 (0=not tap, not shaken) returns -1 if failure
| int Fin_Buzzer | ( | int | msec, |
| int | freq | ||
| ) |
Fin_Buzzer(msec, freq).
turn on the buzzer
input: int msec = duration in msecs int freq = frequency in hz use 0,0 to turn the buzzer off returns -1 if failure
| int Fin_Cmnd | ( | int | flag, |
| char | cmnd, | ||
| unsigned char * | buffer | ||
| ) |
| int Fin_Exit | ( | void | ) |
| int Fin_Init | ( | void | ) |
Fin_init(void).
initializes the interface to the finch robot launches a background thread to prevent the finch from timing out *Must be called prior to all other finch functions
input: none returns: -1 if failure
| int Fin_LED | ( | int | red, |
| int | green, | ||
| int | blue | ||
| ) |
Fin_LED(red, green, blue).
set the color and intensity of the beak LED
input: int red/green/blue = intensity of each color must be between +255 and 0 (0=off) returns -1 if failure
| int Fin_Lights | ( | int * | left, |
| int * | right | ||
| ) |
Fin_Lights(*left, *right).
get light sensor data
input: int *left/*right = pointer where to return the light sensor data returned values range 255 to 0 (0=dark) returns -1 if failure
| int Fin_Motor | ( | int | tenth, |
| int | left, | ||
| int | right | ||
| ) |
Fin_Motor(tenth, left, right).
set the speed (and duration) of the wheels
input: int tenth = motor on time (in tenths of a second) int left/right = speed of each wheel must be between +255 and -255 positive values are forward, negative is reverse use 0,0 to stop use -1 for time if you want to sets the wheels to a certain speed without turning them off at a predetermined time (example: Fin_Motor(-1, 200, -200)) returns -1 if failure
| int Fin_Move | ( | int | tenth, |
| int | left, | ||
| int | right | ||
| ) |
Fin_Move(tenth, left, right).
set the speed (and duration) of the wheels, and block the program from further execution until time is up
input: int tenth = motor on time (in tenths of a second), and block time int left/right = speed of each wheel must be between +255 and -255 positive values are forward, negative is reverse returns -1 if failure
| int Fin_Obstacle | ( | int * | left, |
| int * | right | ||
| ) |
Fin_Obstacle(*left, *right).
get obstacle sensor data
input: int *left/*right = pointer where to return the obstacle flags returned value is 1 or 0 (0=no obstacle) returns -1 if failure
| int Fin_Speed | ( | int * | left, |
| int * | right | ||
| ) |
Fin_Speed(*left, *right).
get the current speed of the wheels
input: int *left/*right = pointer where to return the speed of each wheel returns -1 if failure
| int Fin_Temp | ( | float * | temp | ) |
Fin_Temp(*temp).
get temperature sensor data
input: float *temp = pointer where to return the temperature returned value is in celsius (in 1/1000 units) returns -1 if failure
| void Fin_Thread | ( | void * | arg | ) |


I went to Paris for a 4 day weekend over Thanksgiving in 2016. I travelled alone, which I enjoyed and found very relaxing. I would love to return for a longer stay.
I went to Paris for a 4 day weekend over Thanksgiving in 2016. I travelled alone, which I enjoyed and found very relaxing. I would love to return for a longer stay.


Private island casino, resort, and spa!
Your business is important to us and we want to hear from you. If you have any questions or need any further information feel free to contact us at:


The Amazing Mouse Maze!
Move your mouse over the "S" to begin.
The object of this game is to guide the mouse cursor through the start area and get to the end area. Be sure to avoid the walls:
Good luck!


model
Constructor Summary
| Public Constructor | ||
| public |
|
Member Summary
| Public Members | ||
| public get |
attrs: *: * alias for data getter |
|
| public set |
attrs(d: *): * alias for data setter |
|
| public get |
data: * returns data from RxVO Document |
|
| public set |
data(d: *) sets data to RxVO Document |
|
| public get |
|
|
| public get |
modelCreatedOn: *: * returns creation time of Model in Application |
|
| public get |
modelUpdatedOn: null | *: * returns last updated time of Model in Application |
|
| public get |
|
Method Summary
| Public Methods | ||
| public |
destroy() |
|
| public |
fetch() |
|
| public |
get(key: *): * retrieves data at key |
|
| public |
reset() |
|
| public |
save() |
|
| public |
set(key: *, val: *): * sets value upon key |
|
| public |
subscribe(handler: *) |
|
| public |
sync() |
|
| public |
|
|
| public |
|
|
| public |
|
|
| public |
|
Public Constructors
public constructor() source
Public Members
Public Methods
public destroy() source
public fetch() source
public get(key: *): * source
retrieves data at key
Params:
| Name | Type | Attribute | Description |
| key | * |
Return:
| * |
public reset() source
public save() source
public set(key: *, val: *): * source
sets value upon key
Params:
| Name | Type | Attribute | Description |
| key | * | ||
| val | * |
Return:
| * |
public subscribe(handler: *) source
Params:
| Name | Type | Attribute | Description |
| handler | * |


Local authority nir
List of all local authorities in Northern Ireland.
What are Registers?
Registers are reliable lists of information managed by one custodian from the government organisation responsible for maintaining the Register’s data.
You can easily combine data from some Registers with data from another Register to build your service. For example, this Register can be combined with other registers to create the Local authorities in the UK register.
How do I use this Register in my service?
There are 2 ways to use Registers. You can either:
- use an application programming interface (API) to automatically pull data from a register into your service
- download the data for this Register and keep your own copy up-to-date
Find out more
36 records
Get a copy of this data
What are the column headings?
- Local-authority-nir:
- A local authority in Northern Ireland.
- Local-authority-type:
- The type of a local government organisation in the United Kingdom.
- Name:
- The commonly-used name of a record.
- Official-name:
- The official or technical name of a record.
- Website:
- Website for register entry.
- Start-date:
- The date a record first became relevant to a register.
- End-date:
- The date a record stopped being applicable.
| local-authority-nir | local-authority-type | name | official-name | website | start-date | end-date |
|---|---|---|---|---|---|---|
| NIR-Y | No data found | Castlereagh | Castlereagh Borough Council | No data found | No data found | 2015-03-31 |
| NIR-X | No data found | Ards | Ards Borough Council | No data found | No data found | 2015-03-31 |
| NIR-W | No data found | North Down | North Down Borough Council | No data found | No data found | 2015-03-31 |
| NIR-V | No data found | Carrickfergus | Carrickfergus Borough Council | No data found | No data found | 2015-03-31 |
| NIR-U | No data found | Newtownabbey | Newtownabbey Borough Council | No data found | No data found | 2015-03-31 |
| NIR-T | No data found | Antrim | Antrim Borough Council | No data found | No data found | 2015-03-31 |
| NIR-S | No data found | Lisburn | Lisburn City Council | No data found | No data found | 2015-03-31 |
| NIR-R | No data found | Down | Down District Council | No data found | No data found | 2015-03-31 |
| NIR-Q | No data found | Banbridge | Banbridge District Council | No data found | No data found | 2015-03-31 |
| NIR-P | No data found | Newry and Mourne | Newry and Mourne District Council | No data found | No data found | 2015-03-31 |
| NIR-O | No data found | Armagh City | Armagh City and District Council | No data found | No data found | 2015-03-31 |
| NIR-N | No data found | Craigavon | Craigavon Borough Council | No data found | No data found | 2015-03-31 |
| NIR-M | No data found | Dungannon and South Tyrone | Dungannon and South Tyrone Borough Council | No data found | No data found | 2015-03-31 |
| NIR-L | No data found | Fermanagh | Fermanagh District Council | No data found | No data found | 2015-03-31 |
| NIR-K | No data found | Omagh | Omagh District Council | No data found | No data found | 2015-03-31 |
| NIR-J | No data found | Strabane | Strabane District Council | No data found | No data found | 2015-03-31 |
| NIR-I | No data found | Cookstown | Cookstown District Council | No data found | No data found | 2015-03-31 |
| NIR-H | No data found | Magherafelt | Magherafelt District Council | No data found | No data found | 2015-03-31 |
| NIR-G | No data found | Ballymena | Ballymena Borough Council | No data found | No data found | 2015-03-31 |
| NIR-F | No data found | Larne | Larne Borough Council | No data found | No data found | 2015-03-31 |
| NIR-E | No data found | Moyle | Moyle District Council | No data found | No data found | 2015-03-31 |
| NIR-D | No data found | Ballymoney | Ballymoney Borough Council | No data found | No data found | 2015-03-31 |
| NIR-C | No data found | Coleraine | Coleraine Borough Council | No data found | No data found | 2015-03-31 |
| NIR-B | No data found | Limavady | Limavady Borough Council | No data found | No data found | 2015-03-31 |
| NIR-A | No data found | Derry | Derry City Council | No data found | No data found | 2015-03-31 |
| NMD | No data found | Newry, Mourne and Down | Newry, Mourne and Down District Council | No data found | 2015-04-01 | No data found |
| MUL | No data found | Mid Ulster | Mid Ulster District Council | No data found | 2015-04-01 | No data found |
| MEA | No data found | Mid and East Antrim | Mid and East Antrim Borough Council | No data found | 2015-04-01 | No data found |
| LBC | No data found | Lisburn and Castlereagh | Lisburn and Castlereagh City Council | No data found | 2015-04-01 | No data found |
| FMO | No data found | Fermanagh and Omagh | Fermanagh and Omagh District Council | No data found | 2015-04-01 | No data found |
| DRS | No data found | Derry City and Strabane | Derry City and Strabane District Council | No data found | 2015-04-01 | No data found |
| CCG | No data found | Causeway Coast and Glens | Causeway Coast and Glens Borough Council | No data found | 2015-04-01 | No data found |
| BFS | No data found | Belfast | Belfast City Council | No data found | 2015-04-01 | No data found |
| ANN | No data found | Antrim and Newtownabbey | Antrim and Newtownabbey Borough Council | No data found | 2015-04-01 | No data found |
| AND | No data found | Ards and North Down | Ards and North Down Borough Council | No data found | 2015-04-01 | No data found |
| ABC | No data found | Armagh City, Banbridge and Craigavon | Armagh City, Banbridge and Craigavon Borough Council | No data found | 2015-04-01 | No data found |


Symbol Index for "Activity Type Offered"
Symbol Index for diagram
"Activity Type Offered"
AAT/essential type (Generalization Node)
Activity Type Offered (Class)
Agent's Activity Type (Class)
Authorised Agent Activity (Class)


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Dela677.github.io
Terminal Y-adapter Block - Adept Technology. 16 Adept Quattro s650H Robot User’s Guide, Rev B Ball Joints, Outer Arms The inner arm motion is transmitted to the platform through the outer arms, which.
High Speed Adept Quattro Robot Populating Adept Technology SmartController CX Manuals. Adept s SmartController CX and V+ programming language allow the management of the specific motions: speeds, accelerations and accel profiles, end-of-motion tolerances and behavior Adept technology SmartController CX Pdf User Manuals. View online or download Adept technology SmartController CX User Manual.
Adept SmartController CX Handbücher. Omron Adept Quattro s650H Robot User s Guide.
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This demo shows dual conveyor tracking capabilities using an Adept Cobra SCARA robot, vision guidances, and dual conveyor tracking, all done on one controller, Adept Smartcontroller. The Adept Technology SmartController CX Robot Motion Controller is an ultra-compact and high-performance motion controller for robotics. It features distributed architecture, embedded software, integrated belt tracking, and high-speed communication to integrate your automation system with PC-based software. Adept Cobra robot in a dual conveyor tracking demo - YouTube.
Adept SmartController User’s Guide Covers the SmartController CS, SmartController CX, and sDIO Module 1 2 3 RS-422/485 Benutzerhandbuch Adept Viper s1300 manualzz.com. Search among more than 1.000.000 user manuals and view them online Adept SmartServo unterstutzt zur Zeit alle Adept Roboter der Serien Adept Cobra, Adept Viper, Adept Python Linearachsen, Adept Quattro sowie die Adept SmartServo Kits. Der Adept SmartController CX ist flexibel skalier-bar und wird in der leistungsfdhigen Programmier䴭sprache V+ programmiert. Adept SmartController User’s Guide. Adept SmartController CX - Omron Electronics
Adept Peripherals Connection Guide Common connections to SmartController CX and SmartVision EX P/N: 09672-000, Rev. A January, 2010 SmartVision.


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new ImageCollection(name, firstgid, width, height, margin, spacing, properties) An Image Collection is a special tileset containing mulitple images, with no slicing into each image. Image Collections are normally created automatically when Tiled data is loaded. Parameters: Name Type Argument Default Description name string The name of the image collection in the map data. firstgid integer The first image index this image collection contains. width integer <optional> 32 Width of widest image (in pixels). height integer <optional> 32 Height of tallest image (in pixels). margin integer <optional> 0 The margin around all images in the collection (in pixels). spacing integer <optional> 0 The spacing between each image in the collection (in pixels). properties object <optional> {} Custom Image Collection properties. Source - tilemap/ImageCollection.js, line 22 Members firstgid :integer The Tiled firstgid value. This is the starting index of the first image index this Image Collection contains. Source - tilemap/ImageCollection.js, line 40 <readonly> imageHeight :integer The height of the tallest image (in pixels). Source - tilemap/ImageCollection.js, line 54 <readonly> imageMargin The margin around the images in the collection (in pixels). Use setSpacing to change. Properties: Name Type Description imageMarge integer Source - tilemap/ImageCollection.js, line 63 <readonly> images :array The cached images that are a part of this collection. Source - tilemap/ImageCollection.js, line 85 <readonly> imageSpacing :integer The spacing between each image in the collection (in pixels). Use setSpacing to change. Source - tilemap/ImageCollection.js, line 71 <readonly> imageWidth :integer The width of the widest image (in pixels). Source - tilemap/ImageCollection.js, line 47 name :string The name of the Image Collection. Source - tilemap/ImageCollection.js, line 33 properties :object Image Collection-specific properties that are typically defined in the Tiled editor. Source - tilemap/ImageCollection.js, line 77 <readonly> total :integer The total number of images in the image collection. Source - tilemap/ImageCollection.js, line 93 Methods addImage(gid, image) Add an image to this Image Collection. Parameters: Name Type Description gid integer The gid of the image in the Image Collection. image string The the key of the image in the Image Collection and in the cache. Source - tilemap/ImageCollection.js, line 114 containsImageIndex(imageIndex) ? {boolean} Returns true if and only if this image collection contains the given image index. Parameters: Name Type Description imageIndex integer The image index to search for. Returns: boolean - True if this Image Collection contains the given index. Source - tilemap/ImageCollection.js, line 98


| I l@ve RuBoard |
Let's recap: we wrote a CGI program (feedback.py) that takes the input from a web form and stores the information on disk on our server. We then wrote a program (formletter.py) that takes some of those files and generates apologies to those deserving them. The next task is to construct a program to allow a human to look at the comments and complaints, using the Tkinter toolkit to build a GUI browser for these files.
The Tkinter toolkit is a Python-specific interface to a non-Python GUI library called Tk. Tk is the de facto choice for most Python users because it provides professional-looking GUIs within a fairly easy-to-use system. The interfaces it generates don't look exactly like Windows, the Mac, or any Unix toolkit, but they look very close to each of them, and the same Python program works on all those platforms, which is basically impossible with any platform-specific toolkit. Another portable toolkit worth considering is wxPython (http://www.alldunn.com/wxPython).
Tk, then, is what we'll use in this example. It's a toolkit developed by John Ousterhout, originally as a companion to Tcl, another scripting language. Since then, Tk has been adopted by many other scripting languages including Python and Perl. For more information on Perl and Tk, see O'Reilly's Learning Perl/Tk by Nancy Walsh.
The goals of this program are simple: to display in a window a listing of all of the feedback data items, allowing the user to select one to examine in greater detail (e.g., seeing the contents of the text widget). Furthermore, Joe wants to be able to discard items that are dealt with, to avoid having an always increasing list of items. A screenshot of the finished program in action is shown in Figure 10.4.
We'll work through one possible way of coding it. Our entire program, called feedbackeditor.py, is:
from FormEditor import FormEditor from feedback import FeedbackData, FormData from Tkinter import mainloop FormEditor("Feedback Editor", FeedbackData, r"c:\Complaintdir") mainloop()
This is cheating only if we don't tell you what's in FormEditor, but we will. The point of breaking these four lines out into a separate file is that we've broken out all that is specific to our form. As we'll see, the FormEditor program is completely independent of the specific CGI form. A further point made explicit by this microprogram is that it shows how to interact with Tkinter; you create widgets and windows, and then call the mainloop function, which sets the GUI running. Every change in the program that follows happens as a result of GUI actions. As for formletter.py, this program imports the class objects from the feedback module, for the same reason (unpickling). Then, an instance of the FormEditor class is created, passing to its initialization function the name of the editor, the class of the objects being unpickled, and the location of the pickled instances.
The code for FormEditor is just a class definition, which we'll describe in parts, one method at a time. First, the import statements and the initialization method:
from Tkinter import * import string, os, pickle class FormEditor: def __init__(self, name, dataclass, storagedir): self.storagedir = storagedir # stash away some references self.dataclass = dataclass self.row = 0 self.current = None self.root = root = Tk() # create window and size it root.minsize(300,200) root.rowconfigure(0, weight=1) # define how columns and rows scale root.columnconfigure(0, weight=1) # when the window is resized root.columnconfigure(1, weight=2) # create the title Label Label(root, text=name, font='bold').grid(columnspan=2) self.row = self.row + 1 # create the main listbox and configure it self.listbox = Listbox(root, selectmode=SINGLE) self.listbox.grid(columnspan=2,sticky=E+W+N+S) self.listbox.bind('<ButtonRelease-1>', self.select) self.row = self.row + 1 # call self.add_variable once per variable in the class's fieldnames var for fieldname in dataclass.fieldnames: setattr(self, fieldname, self.add_variable(root, fieldname)) # create a couple of buttons, with assigned commands self.add_button(self.root, self.row, 0, 'Delete Entry', self.delentry) self.add_button(self.root, self.row, 1, 'Reload', self.load_data) self.load_data()
We use the sometimes dangerous from ... import * construct we warned you about earlier. In Tkinter programs, it's usually fairly safe, because Tkinter only exports variables that are fairly obviously GUI-related (Label, Widget, etc.), and they all start with uppercase letters.
Understanding the __init__ method is best done by comparing the structure of the code to the structure of the window screen dump. As you move down the _ _init__ method lines, you should be able to match many statements with their graphical consequences.
The first few lines simply stash away a few things in instance variables and assign default values to variables. The next set of lines access a so-called Toplevel widget (basically, a window; the Tk() call returns the currently defined top-level widget), sets its minimum size, and sets a few properties. The row and column configuration options allow the widgets inside the window to scale if the user enlarges the window and determines the relative width of the two columns of internal widgets.
The next call creates a Label widget, which is defined in the Tkinter module, and which, as you can see in the screen dump, is just a text label. It spans both columns of widgets, meaning that it extends from the leftmost edge of the window to the rightmost edge. Specifying the locations of graphical elements is responsible for the majority of GUI calls, due to the wide array of possible arrangements.
The Listbox widget is created next; it's a list of text lines, which can be selected by the user using arrow keys and the mouse button. This specific listbox allows only one line to be selected at a time (selectmode=SINGLE) and fills all the space available to it (the sticky option).
The for loop block is the most interesting bit of code in the method; by iterating over the fieldnames attribute of the dataclass variable (in our example, the fieldnames class of the FeedbackData class), it finds out which variables are in the instance data, and for each, calls the add_variable method of the FormEditor class and takes the returned value and stuffs it in an instance variable. This is equivalent in our case to:
... self.name = self.add_variable(root, 'name') self.email = self.add_variable(root, 'email') self.address = self.add_variable(root, 'address') self.type = self.add_variable(root, 'type') self.text = self.add_variable(root, 'text')
The version in the code sample, however, is better, because the list of field names is already available to the program and retyping anything is usually an indicator of bad design. Furthermore, there is nothing about FormData that is specific to our specific forms. It can be used to browse any instance of a class that defines a variable fieldnames. Making the program generic like this makes it more likely to be reused in other contexts for other tasks.
Finishing off with the __init__ method, we see that two buttons finish the graphical layout of the window, each associated with a command that's executed when it's clicked. One is the delentry method, which deletes the current entry, and the other is a reloading function that rereads the data in the storage directory.
Finally, the data is loaded by a call to the load_data method. We'll describe it as soon as we're done with the calls that set up widgets, namely add_variable and add_button.
add_variable creates a Label widget, which displays the name of the field, and on the same row, places a Label widget, which will contain the value of the corresponding field in the entry selected in the listbox:
def add_variable(self, root, varname): Label(root, text=varname).grid(row=self.row, column=0, sticky=E) value = Label(root, text='', background='gray90', relief=SUNKEN, anchor=W, justify=LEFT) value.grid(row=self.row, column=1, sticky=E+W) self.row = self.row + 1 return value
add_button is simpler, as it needs to create only one widget:
def add_button(self, root, row, column, text, command): button = Button(root, text=text, command=command) button.grid(row=row, column=column, sticky=E+W, padx=5, pady=5)
The load_data function cleans up any contents in the listbox (the graphical list of items) and resets the items attribute (which is a Python list that will contain references to the actual data instances). The loop is quite similar to that used for printcomplaints.py, except that:
The name of the file in which an instance is stored is attached as an attribute to that instance (we'll see why shortly)
The instance is added to the items instance attribute
The string representation of the item (note the use of the backtick `) is added to the listbox
Finally, the first item in the listbox is selected:
def load_data(self): self.listbox.delete(0,END) self.items = [] for filename in os.listdir(self.storagedir): item = pickle.load(open(os.path.join(self.storagedir, filename))) item._filename = filename self.items.append(item) self.listbox.insert('end', `item`) self.listbox.select_set(0) self.select(None)
We now get to the select method we mentioned previously. It's called in one of two circumstances. The first, as we just showed, is the last thing to happen when the data is loaded. The second is a consequence of the binding operation in the __init__ method, which we reprint here:
self.listbox.bind('<ButtonRelease-1>', self.select)
This call binds the occurrence of a specific event ('<ButtonRelease-1>') in a specific widget (self.listbox) to an action calling self.select. In other words, whenever you let go of the left mouse button on an item in the listbox, the select method of your editor is called. It's called with an argument of type Event, which can let us know such things as when the button click occurred, but since we don't need to know anything about the event except that it occurred, we'll ignore it. What must happen on selection? First, the instance corresponding to the item being selected in the GUI element must be identified, and then the fields corresponding to the values of that instance must be updated. This is performed by iterating over each field name (looking back to the fieldnames class variable again), finding the value of the field in the selected instance, and configuring the appropriate label widget to display the right text:[6]
[6] The replace operation is needed because Tk treats the \r\n sequence that occurs on Windows machines as two carriage returns instead of one.
def select(self, event): selection = self.listbox.curselection() self.selection = self.items[int(selection[0])] for fieldname in self.dataclass.fieldnames: label = getattr(self, fieldname) # GUI field labelstr = getattr(self.selection, fieldname) # instance attribute labelstr = string.replace(labelstr,'\r', '') label.config(text=labelstr)
The reload functionality we need is exactly that of the load_data method, which is why that's what was passed as the command to be called when the reload button is clicked. The deletion of an entry, however, is a tad more difficult. As we mentioned, the first thing to do when loading an instance from disk is to give it an attribute that corresponds to the filename whence it came. We use this information to delete the file before asking for a reload; the listbox is automatically updated:
def delentry(self): os.remove(os.path.join(self.storagedir,self.selection._filename)) self.load_data()
This program is probably the hardest to understand of any in this book, simply because it uses the complex and powerful Tkinter library extensively. There is documentation for Tkinter, as well as for Tk itself (see Tkinter Documentation).
Tkinter DocumentationThe documentation for Tkinter is as elusive as it is needed; it's getting better all the time, however. Tkinter was originally written by someone (Steen Lumholdt) who needed a GUI for his work with Python. He didn't write much documentation, alas. Tkinter has since been upgraded many times over, mostly by Guido van Rossum. The documentation for Tkinter is still incomplete; however, there are a few pieces of documentation currently available, and by the time you read this, much more may be available.
|
| I l@ve RuBoard |


Spiceworld Review by Eric Lurio (C)1998
Directed by Bob Spiers
If I didn't know better I would say that the first couple of drafts of the `Spiceworld' script was written while Jamie Curtis and Kim Fuller were intoxicated.
This may or may not be the case, but anything this cheerfully dumb could not be the product of a healthy mind.
For better or worse, Melanie Brown, Emma Bunton, Melanie Chisholm, Geri Haliwell and Victoria Addams are the Spice Girls. They go around in a bus [driven by Meat Loaf] who's interior is about twice the size of the exterior.
They pretty much do nothing but hang out, sing and show off their thier mammary glands while the likes of Roger Moore, Barry Humphries, George Wendt, Stephen Fry, Bob Geldof, Bob Hoskins, Elton John, Jennifer Saunders and Elvis Costello briefly step in front of the camera to ham it up for old times sake.
There is some slight semblance of a plot concerning the sixth Spice Girl, played by Pete Bes..er...Naoko Mori, who is ten months pregnant and about to give birth just before the show at the Albert hall begins, but that doesn't really help or hurt whatever this thing is at all.
People have compared `Spiceworld' to `A Hard Day's Night,' but it's in fact something close to a remake of the Monkees' `Head' which came out in 1968. Except that actually stands the test of time.
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rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


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|
I.T. is a thriller film directed by John Moore and written by Dan Kay and William Wisher.
It stars Pierce Brosnan, James Frecheville, Anna Friel, Stefanie Scott and Michael Nyqvist, and is produced by David T. Friendly and Beau St. Clair,
who was Brosnan's producing partner at the Irish DreamTime production company before she died.
The film came out on September 23, 2016 with a limited release and video on demand.
|
|
| Genres: | Mystery,Crime |
| Director: | John Moore |
| Writer: | Dan Kay, William Wisher |
Cast: | Pierce Brosnan,James Frecheville,Anna Friel,Stefanie Scott,Michael Nyqvist |


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Sure. Either or both methods could be iterative or recursive.
Here, for reference, are the two (recursive) methods:
public int Triangle( int N ) { if ( N == 1 ) return 1; else return N + Triangle( N-1 ); } public int Pyramid( int N ) { if ( N == 1 ) return 1; else return Pyramid ( N-1 ) + Triangle ( N ); }
The diagram (at right) shows the activation chain when
the main()
method has called Pyramid(3)
.
This results in three activations of the Pyramid()
method.
Click on the diagram to see these activations.
When the base case Pyramid(1)
is reached, it immediately
returns a value of 1.
Now the second activation, Pyramid(2)
, calls
Triangle(2)
which results in activations of Triangle()
added to the chain.
After two activations, Triangle(2)
, returns a 3 to its caller.
Pyramid(2)
Pyramid(3)
now calls Triangle(3)
main()
It is equally valid to write Pyramid()
with the
methods in the last line reversed:
public int Pyramid( int N ) { if ( N == 1 ) return 1; else return Triangle ( N ) + Pyramid ( N-1 ) ; // Reversed Order }
Will the sequence of activations in the activation chain be the same for this method?


Minutes from our recent committee meetings and AGM:
Below are the rules and other documents to help on game day
SWMJCC Guides and Policies
Law summary for U12s-17s
Junior umpire forms
No-go zones of the field
JLT Game Day Checklist
Safeguarding Kids in Cricket Commitment Statement
Good Sports Junior Club policy
Good Sports Smoking Management policy
Good Sports Accreditation Certificate - Level 1
Good Sports Accreditation Certificate - Level 2
Good Sports Accreditation Certificate - Level 3
Good Sports Accreditation Certificate - Junior
We are governed by our Club Constitution, last updated in February 2017.
Had an issue, on or off the field? Our Disputes and Protests policy will help you.
Your behaviour as a representative of Jankakot Lakes Junior Cricket Club is very important, please read the Code of Conduct


Energy cuts and Horace integration
This example shows how to calculate the spin wave spectrum of the square lattice Heisenberg antiferromagnet and to produce a constant energy cut of the spectrum.
Contents
Crystal & magnetic structure
Using sw_model, the crystal and magnetic structure are readily available. Using the 'squareAF' option, a square lattice Heisenberg Antiferromagnet with S = 1 and J = 1 is created.
sq = sw_model('squareAF',1,0); % We add magnetic form factor after the model is defined. Using the same % atom label and position as an existing atom in the model, the atom % properties will be updated, no new atom is created using the % spinw.addatom method. We will use the form factor of Ni2+ that has S=1. sq.addatom('label','atom_1','r',[0 0 0],'formfact','MNi2+','S',1) plot(sq) swplot.zoom(2)
Warning: The x-ray scattering form factor for atom_1+ is undefined, constant 1 will be used instead! If you don't want to see this message add a line to xrayion.dat (use the 'edit xrayion.dat' command) for the corresponding ion! Warning: The neutron scattering length for atom_1 is undefined, constant 1 will be used instead!
Spin wave
We need to define a grid in reciprocal space, here we use the (Qh, Qk, 0) square lattice plane by calling ndgrid() function.
nQ = 201;
nE = 501;
Qhv = linspace(0,2,nQ);
Qkv = linspace(0,2,nQ);
Qlv = 0;
[Qh, Qk, Ql] = ndgrid(Qhv,Qkv,Qlv);
% Create a list of Q point, with dimensions of [3 nQ^2].
Q = [Qh(:) Qk(:) Ql(:)]';
Spin wave spectrum
We calculates the spin wave spectrum at the list of Q points, bin the diagonal of the spin-spin correlation function (Sxx+Syy+Szz) in energy and convolute with a finite instrumental resolution.
spec = sq.spinwave(Q); Ev = linspace(0,5,nE); spec = sw_egrid(spec,'component','Sxx+Syy+Szz','Evect',Ev); spec = sw_instrument(spec,'dE',0.1);
Creat the Q map
The calculated intensity map is stored in spec.swConv, we reshape it into a 3D matrix using Matlab commands.
spec3D = reshape(spec.swConv,nE-1,nQ,nQ);
Plotting E=const cut
A constant energy cut takes the (Eidx,:,:) elements of the matrix and plots it using the Matlab function imagesc(). We also integrate in energy the same way Horace does by taking the average of the points and rescaling with the energy bin size.
Ecut = [3.5 4.0]; %meV Eidx = find(Ev>Ecut(1) & Ev<Ecut(2)); figure; cut1 = squeeze(sum(spec3D(Eidx,:,:),1))/numel(Eidx)/(Ev(2)-Ev(1)); imagesc(Qhv,Qkv,cut1); set(gca,'YDir','normal') xlabel('(H 0 0) (r.l.u.)') ylabel('(0 K 0) (r.l.u.)') title('Spin wave spectrum at E = 3 meV, square lattice Heisenberg AF') caxis([0 3]) colorbar
Constant energy cut using Horace
We can do the same cut much easyer using Horace (http://horace.isis.rl.ac.uk). Assuming that Horace is installed and initialized we can do the same constant energy cut with just three steps. First we create an empty d3d object that defines the (h,k,0) plane with ranges in momentum and energy. Second we call Horace to fill up the empty d3d object with the simulated spin wave data and finally we plot a constant energy cut.
if ~exist('sqw','file') fprintf('Horace is not installed. Exiting....\n'); return end Ebin = [0,0.01,5]; fwhm0 = 0.1; d3dobj = d3d(sq.abc,[1 0 0 0],[0,0.01,2],[0 1 0 0],[0,0.01,2],[0 0 0 1],Ebin); d3dobj = disp2sqw_eval(d3dobj,@sq.horace,{'component','Sxx+Syy+Szz'},fwhm0); plot(cut(d3dobj,[],[],[3.5 4])); colorslider('delete') title('') caxis([0 3]) colorbar
Horace is not installed. Exiting....
Spaghetti plot using Horace
Horace can be also used to generate cuts along certain line in the Brillouin zone. The advantage of this approach is that it can be better combined with data treatment in Horace. Where the sample plot can be calculated on real pixel data using the spaghetti_plot function.
Qlist = [0 0 0;0 1/2 0;1/2 1/2 0;0 0 0]; Qlabel = {'\Gamma' 'X' 'M' '\Gamma'}; Ebin = [0 0.01 5]; fwhm0 = 0.1; disp2sqw_plot(Qlist,@sq.horace,{},Ebin,fwhm0,'labels',Qlabel) colorslider('delete') caxis([0 3]) colormap(flipud(cm_inferno)) colorbar
Written by Sandor Toth 06-Jun-2014, 08-Feb-2017


--- tags: - cadastre - parcel fabric author: display_name: Mike Heagin email<EMAIL_ADDRESS>date: 2014-04-30 12:46:28 -0600 categories: [] ParcelFabric: downloads: - url: https://drive.google.com/a/utah.gov/uc?id=1g8O9ohO4Odf9XMm6ZkXZZ9c6iyGmkREX&export=download label: PLSS Fabric Version 2.3 updates: - December 15, 2020 - October 15, 2019 - January 15, 2019 - January 1, 2018 - November 1, 2016 - May 2, 2016 CadNSDI: downloads: - url: https://drive.google.com/uc?id=13DUod-JnR2W7JLbRM1wjS-bCDrRs93Ij&export=download label: BLM CadNSDI GIS Version 2.3 updates: - December 15, 2020 - October 15, 2019 - January 15, 2019 - January 1, 2018 - November 1, 2016 - August 28, 2015 PLSSPointsGCDB: hub: name: Utah PLSS Point GCDB item_id: ef75c3c063ac4b9b996b70e21ce248fe updates: - December 15, 2020 - October 15, 2019 - January 15, 2019 - January 1, 2018 - November 1, 2016 - August 28, 2015 Townships: hub: name: Utah PLSS Townships GCDB item_id: 5f801b03df2644dd99dcbaa5840bf12d updates: - December 15, 2020 - October 15, 2019 - January 15, 2019 - January 1, 2018 - November 1, 2016 - August 28, 2015 Sections: hub: name: Utah PLSS Sections GCDB item_id: 471c7281c52849b2860d36135e751c83 updates: - December 15, 2020 - October 15, 2019 - January 15, 2019 - January 1, 2018 - November 1, 2016 - August 28, 2014 QuarterSection: hub: name: Utah PLSS Quarter Sections GCDB item_id: 58b655046e2f4a258dbbf6a6aeaa7b23 updates: - April 8, 2022 - December 15, 2020 - October 15, 2019 - May 15, 2019 - January 15, 2019 - February 14, 2018 - January 1, 2018 - November 1, 2016 - August 28, 2015 QuarterQuarterSection: hub: name: Utah PLSS Quarter Quarter Sections GCDB item_id: f3454ae613034039b63830c78105bec8 updates: - December 15, 2020 - October 15, 2019 - May 15, 2019 - January 15, 2019 - January 1, 2018 - November 1, 2016 - August 28, 2015 --- {% include abstract.html name="PLSS/GCDB Cadastre Data" stewards="UGRC, BLM, and SITLA" webapp="https://plss.utah.gov" abstract="This dataset contains GIS mapping data representing the statewide Public Land Survey System (PLSS) and the Geographic Coordinate System Database (GCDB) for Utah. The GCDB Data was created to provide the BLM and the public with a set of geographic foundation data that accurately portrays the locations of PLSS corners. The GCDB data is based on the best and most current survey records available and uses known geographic positions of control stations within the PLSS network. This data is a key component of geographic data upon which all cadastral information will be assembled.
UGRC is working together with Counties and the BLM to continually enhance the Geographic Coordinate Data Base (GCDB). The GCDB map layers in the State Geographic Information Database (SGID) are a collection of geographic information representing the Public Land Survey System (PLSS) for the State of Utah.
Public Land Survey System Master Plan
All data users of PLSS data should be aware that UGRC is continually updating data available from the SGID. This data is Utah PLSS Fabric Version 2.3 2020 of the Utah GCDB. This data set represents the GIS version of the Public Land Survey System. Updates are expected annually as horizontal control positions from published sources and global positioning system (GPS) observations are added. The GCDB grid is adjusted using various method of adjustment to determine the best geographic position of the survey points." %}
The State of Utah Public Land Survey System (PLSS) Fabric version 1.0 was generated from the Cadastral National Spatial Data Infrastructure (CadNSDI) version 2.0 which are the core or essential elements of cadastral information that provide the framework for building and using cadastral (land records) information nationwide.
The PLSS data within the CadNSDI is typically survey data, control observations and other supplemental measurements, but in some cases survey information has not been completely abstracted or is not available and in these cases non Geographic Coordinate Database (GCDB) information has been used such as digitized maps or data from other sources. In all cases the data steward is identified in the data sets and the metadata records.
The PLSS Fabric is created and maintained through a collaborative partnership between the State of Utah Department of Technology Services, Utah Geospatial Resource Center (UGRC); the State of Utah School and Institutional Trust Lands Administration (SITLA), and the United States Department of the Interior, Bureau of Land Management (BLM) and BLM contractor Premier Data Solutions (Premier) with contributions from the Utah Mapping and Information Partnership (UMIP) through the Department of Environmental Quality (DEQ).
Survey Control added to the PLSS Fabric is provided by the BLM Surveyors, County Surveyors, County Contract Surveyors and Private Surveyors throughout the State. Survey Control can be added or viewed using the UGRC PLSS Web Application.
{% include contact.html subject=page.title contact=site.data.contacts.plss %}
The Bureau of Land Management (BLM) Geographic Coordinate Data Base (GCDB) is a collection of geographic information representing the United States Public Land Survey System (PLSS) and other official surveys. This version of the GCDB data is published from the Utah PLSS Fabric V2.2; which uses BLM’s official survey records including Cadastral survey plats and field notes supplemented with local survey records and geodetic control information.
ConflictedAreas
, MeanderedWater
, MetadataGlance
,
PLSSFirstDivision
, PLSSIntersected
, PLSSPoint
,
PLSSSecondDivision
, PLSSSpecialSurvey
, PLSSTownship
,
SurveySystem
.
CadNSDI_GIS_v2.3
, dataset was released December 2020There are no constraints or warranties with regard to the use of this dataset. This state-wide dataset is maintained by all partners of Utah PLSS Fabric Group.
The geographic coordinates and their associated products are NOT legal land survey records. The coordinates can NOT be used as a substitute for a legal land survey. They can be used for record keeping, mapping, graphics and planning purposes only. No warranty is made by the Bureau of Land Management for use of the data for purposes not intended by BLM.
Questions can be directed to The local BLM office Bureau of Land Management Utah Contacts
PLSSPoint_GCDB is a point dataset that depicts the Public Land Survey System (PLSS) for the State of Utah and are based on Geographic Coordinate Data Base (GCDB) coordinate data. This dataset was created to provide continuous data for the state of Utah. This data is Utah PLSS Fabric Version 2.3 2020 of the Utah GCDB. This data set represents the GIS Version of the Public Land Survey System. Updates are expected annually as horizontal control positions from published sources and global positioning system (GPS) observations are added. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The CADNSDI or the Cadastral Publication Data Standard is the cadastral data component of the NSDI. This is the publication guideline for cadastral data that is intended to provide a common format and structure and content for cadastral information that can be made available across jurisdictional boundaries, providing a consistent and uniform cadastral data to meet business needs that includes connections to the source information from the data stewards. The data stewards determine which data are published and should be contacted for any questions on data content or for additional information. The cadastral publication data is data provided by cadastral data producers in a standard form on a regular basis. Cadastral publication data has two primary components, land parcel data and cadastral reference data. It is important to recognize that the publication data are not the same as the operation and maintenance or production data. The production data is structured to optimize maintenance processes, is integrated with internal agency operations and contains much more detail than the publication data. The publication data is a subset of the more complete production data and is reformatted to meet a national standard so data can be integrated across jurisdictional boundaries and be presented in a consistent and standard form nationally.
The native spatial reference for this dataset is UTM Zone 12N, NAD83 (0.01 meter x,y coordinate precision; 0.001
mile m coordinate precision). There are no constraints or warranties with regard to the use of this dataset. Users
are encouraged to attribute content to: UDOT.
This statewide dataset is maintained by UGRC in partnership
with the BLM and SITLA. The geographic coordinates and their associated products are NOT legal land survey
records. The coordinates can NOT be used as a substitute for a legal land survey. They can be used for record
keeping, mapping, graphics and planning purposes only. No warranty is made by the Bureau of Land Management for
use of the data for purposes not intended by BLM.
{% include contact.html subject=page.title contact=site.data.contacts.plss %}
plss_township_gcdb is a polygon dataset. In the Public Land Survey System, a township refers to a unit of land, nominally 6 miles per side, usually containing 36 sections.This layer is based on Geographic Coordinate Data Base (GCDB) coordinate data. The locations of Public Land Survey System (PLSS) corners, as represented in geographic coordinate pairs, were derived from a variety of source documents, which include U.S. General Land Office and BLM survey plats/notes, as well as survey data obtained from other U.S. Government agencies, private sector survey firms, and local governments. The attributes assigned to PLSS polygons were taken from the BLM's Legal Land Description (LLD) data set, contained within the Legacy Rehost for the year 2000 (LR2000) automated records system. The coordinate data was produced by using control stations of known location, with varying degrees of accuracy, from various sources which include but are not limited to; U.S. Geological Survey (USGS) topological quadrangles and other sources, National Geodetic Survey (NGS) and US Coast & Geodetic Survey (USC&GS) Cooperative Base Network (CBN) control, Federal Base Network control (FBN), and Continuous Operating Reference Stations (CORS), and Global Positioning System (GPS) data, which is then analyzed and adjusted in concert with official survey data for any given geographic area. This data is a useful representation of the geometry and topology of parcels contained within the PLSS, but its application is intended for mapping purposes only. The GCDB data is not a substitute for a legal land survey.
The native spatial reference for this dataset is UTM Zone 12N, NAD83 (0.01 meter x,y coordinate precision; 0.001 mile m coordinate precision). There are no constraints or warranties with regard to the use of this dataset. Users are encouraged to attribute content to UGRC. This statewide dataset is maintained by UGRC in partnership with the BLM and SITLA. The geographic coordinates and their associated products are NOT legal land survey records. The coordinates can NOT be used as a substitute for a legal land survey. They can be used for record keeping, mapping, graphics and planning purposes only. No warranty is made by the Bureau of Land Management for use of the data for purposes not intended by BLM.
{% include contact.html subject=page.title contact=site.data.contacts.plss %}
plss_sections_gcdb is a polygon dataset. Public Land Survey System Townships first divisions (Sections) are normally Public Land Survey System Tracts or Public Land Survey System Sections. This entity is the primary or first subdivisions of a Public Land Survey System Township commonly 1 mile square approximately 640 acres.This layer is based on Geographic Coordinate Data Base (GCDB) coordinate data. The locations of Public Land Survey System (PLSS) corners, as represented in geographic coordinate pairs, were derived from a variety of source documents, which include U.S. General Land Office and BLM survey plats/notes, as well as survey data obtained from other U.S. Government agencies, private sector survey firms, and local governments. The attributes assigned to PLSS polygons were taken from the BLM's Legal Land Description (LLD) data set, contained within the Legacy Rehost for the year 2000 (LR2000) automated records system. The coordinate data was produced by using control stations of known location, with varying degrees of accuracy, from various sources which include but are not limited to; U.S. Geological Survey (USGS) topological quadrangles and other sources, National Geodetic Survey (NGS) and US Coast & Geodetic Survey (USC&GS) Cooperative Base Network (CBN) control, Federal Base Network control (FBN), and Continuous Operating Reference Stations (CORS), and Global Positioning System (GPS) data, which is then analyzed and adjusted in concert with official survey data for any given geographic area. This data is a useful representation of the geometry and topology of parcels contained within the PLSS, but its application is intended for mapping purposes only. The GCDB data is not a substitute for a legal land survey.
The native spatial reference for this dataset is UTM Zone 12N, NAD83 (0.01 meter x,y coordinate precision; 0.001 mile m coordinate precision).< There are no constraints or warranties with regard to the use of this dataset. Users are encouraged to attribute content to UGRC. This statewide dataset is maintained by UGRC in partnership with the BLM and SITLA. The geographic coordinates and their associated products are NOT legal land survey records. The coordinates can NOT be used as a substitute for a legal land survey. They can be used for record keeping, mapping, graphics and planning purposes only. No warranty is made by the Bureau of Land Management for use of the data for purposes not intended by BLM.
{% include contact.html subject=page.title contact=site.data.contacts.plss %}
plss_quarter_sections_gcdb is a polygon dataset. Quarter section data is commonly an aliquot part of a section 160 acres in size. Sections are divided by running straight lines from the fixed quarter section corners to the opposite corresponding quarter section corners, thus creating quarters of a section and defining the center of the section. This data is derived from the PLSSIntersected feature class of the Utah PLSS Fabric GISv2.3 2020. This layer is based on Geographic Coordinate Data Base (GCDB) coordinate data. The locations of Public Land Survey System (PLSS) corners, as represented in geographic coordinate pairs, were derived from a variety of source documents, which include U.S. General Land Office and BLM survey plats/notes, as well as survey data obtained from other U.S. Government agencies, private sector survey firms, and local governments. The attributes assigned to PLSS polygons were taken from the BLM's Legal Land Description (LLD) data set, contained within the Legacy Rehost for the year 2000 (LR2000) automated records system. The coordinate data was produced by using control stations of known location, with varying degrees of accuracy, from various sources which include but are not limited to; U.S. Geological Survey (USGS) topological quadrangles and other sources, National Geodetic Survey (NGS) and US Coast & Geodetic Survey (USC&GS) Cooperative Base Network (CBN) control, Federal Base Network control (FBN), and Continuous Operating Reference Stations (CORS), and Global Positioning System (GPS) data, which is then analyzed and adjusted in concert with official survey data for any given geographic area. This data is a useful representation of the geometry and topology of parcels contained within the PLSS, but its application is intended for mapping purposes only. The GCDB data is not a substitute for a legal land survey.
The native spatial reference for this dataset is UTM Zone 12N, NAD83 (0.01 meter x,y coordinate precision; 0.001 mile m coordinate precision). There are no constraints or warranties with regard to the use of this dataset. Users are encouraged to attribute content to UGRC. This statewide dataset is maintained by UGRC for navigation purposes and because of user's request. The geographic coordinates and their associated products are NOT legal land survey records. The coordinates can NOT be used as a substitute for a legal land survey. They can be used for record keeping, mapping, graphics and planning purposes only. No warranty is made by the Bureau of Land Management for use of the data for purposes not intended by BLM.
The Quarter Sections are no longer a standard and is now published as a Reference layer by the UGRC. This data is derived from the Intersected layer of the CadNSDI published version of the PLSS, which includes quarter-quarter, sixteenth or government lot division, mineral surveys, and many Unsurveyed areas of the PLSS. Many areas will not have a designated location (NE, NW, SW, SE) in the original data so will not be classified in the Quarter Sections layer. This data is from the Utah PLSS Fabric Version 2.3 2020 of the Utah GCDB.
Quarter Sections were consolidated from the Quarter Quarter Sections to better represent the four quarters in all Aliquot Part areas. Areas with Lots or Special Surveys remain as is. Updated 4/8/2022
{% include contact.html subject=page.title contact=site.data.contacts.plss %}
plss_quarter_quarter_sections_gcdb is a polygon dataset. Second division (QuarterQuarter) data is commonly an
aliquot part of quarter sections but could be a lot or other division. GCDB base attribute data was used to create
the second division feature class. Lots were dissolved to the section level. Survey_type
:
B
(aliquot parts less than 40 acres) for geopolitical splits were attributed as
Survey_type
: A
. This data is derived from the PLSS Intersected feature class of the Utah
PLSS Fabric GISv2.3 2020. This layer is based on Geographic Coordinate Data Base (GCDB) coordinate data. The
locations of Public Land Survey System (PLSS) corners, as represented in geographic coordinate pairs, were derived
from a variety of source documents, which include U.S. General Land Office and BLM survey plats/notes, as well as
survey data obtained from other U.S. Government agencies, private sector survey firms, and local governments. The
attributes assigned to PLSS polygons were taken from the BLM's Legal Land Description (LLD) data set, contained
within the Legacy Rehost for the year 2000 (LR2000) automated records system. The coordinate data was produced by
using control stations of known location, with varying degrees of accuracy, from various sources which include but
are not limited to; U.S. Geological Survey (USGS) topological quadrangles and other sources, National Geodetic
Survey (NGS) and US Coast & Geodetic Survey (USC&GS) Cooperative Base Network (CBN) control, Federal Base
Network control (FBN), and Continuous Operating Reference Stations (CORS), and Global Positioning System (GPS)
data, which is then analyzed and adjusted in concert with official survey data for any given geographic area. This
data is a useful representation of the geometry and topology of parcels contained within the PLSS, but its
application is intended for mapping purposes only. The GCDB data is not a substitute for a legal land survey.
The native spatial reference for this dataset is UTM Zone 12N, NAD83 (0.01 meter x,y coordinate precision; 0.001 mile m coordinate precision). There are no constraints or warranties with regard to the use of this dataset. Users are encouraged to attribute content to UGRC. This statewide dataset is maintained by UGRC in partnership with the BLM and local government. The geographic coordinates and their associated products are NOT legal land survey records. The coordinates can NOT be used as a substitute for a legal land survey. They can be used for record keeping, mapping, graphics and planning purposes only. No warranty is made by the Bureau of Land Management for use of the data for purposes not intended by BLM.
Updates were made to Quarter Quarter Sections in Utah County to add quarter-quarter sections to areas that were not broken down less than the Section level. These are labeled as SECDIVTYP = Z and SECDIVTXT = Unsurveyed Unprotracted. They were added, using information from points collected by county surveyors, that is in the data and extrapolating information from adjoining sections wherever possible. They are still areas that could not be interpreted well enough and they were left empty, beyond the section level. In the future this data will continue to be carried in this feature class but not incorporated into the official PLSS Fabric.
{% include contact.html subject=page.title contact=site.data.contacts.plss %}


Test that 3rd party Javascript event bindings can continue to work as expected, even when a <bolt-button> element instance is moved around the page every couple of seconds.
<bolt-button>