A portion of the disclosure of this patent document may contain material that is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all copyright rights whatsoever. The following notice shall apply to this document: Copyright© 2004, Microsoft Corp.
This invention relates to computing, and further relates to the positioning of items in tabular layouts for display on a Graphical User Interface (GUI).
A Graphical User Interface (GUI) is an area of an electronic display surface, such as 129 in
In the case of table 150, the layout of items 131-144 is determined by supporting processes that are accessed via an Application Programming Interface (API). A creator of a GUI can write code that is recognized by the API, and can thereby control the features of the resulting GUI. To facilitate the creation of such code, programmers may make use of a GUI development environment. A GUI development environment is an application that provides useful functions to assist in the creation of the code behind GUIs. Such a development environment is available in a variety of different products, such as the MICROSOFT® .NET framework. A GUI development environment may be an aspect of a larger integrated development environment (IDE), such as MICROSOFT'S VISUAL STUDIO®, BORLAND'S C++ BUILDER®, METROWERK'S CODE WARRIOR®, and IBM'S WEBSPHERE STUDIO®.
Almost all modern GUI development environments provide assistance in generating table layouts, sometimes also called grid layouts. An exemplary table layout in addition to 151 in
While HTML provides a convenient way to create tables in some settings, the typical application GUI, such as 130, is not defined in HTML. Instead, an application GUI 130 may be defined in code. The creation of the code for a GUI is not as simple as the HTML scenario. Consider, for example, the table with one row and two buttons from the HTML example above. In code, the creation of the same table with the same layout is more verbose and difficult to follow:
As pointed out by the comments in the above example—comments are on lines preceded by two forward slashes—the creation of the GUI with two buttons in code involves a sequence of steps. These steps are illustrated in
Using a variety of APIs available in the art, the code for the creation of a particular tabular layout may take a wide variety of forms. One popular API is the Grid Bag Layout API, also called the Grid Bag Layout Engine, provided by SUN MICROSYSTEMS®. Using the Grid Bag Layout API, the following code can be used to generate the layout shown in
Using the Grid Bag Layout Engine, items can be associated with a plurality of constraints that operate to determine the positions and sizes of the items. For example, the GridBagConstraints.REMAINDER constraint operates to specify that an item be the last one in its row (for gridwidth) or column (for gridheight). The GridBagConstraints.RELATIVE constraint operates to specify that an item be the next to last one in its row (for gridwidth) or column (for gridheight). While the system of associating items with constraints to determine their positions useful in many respects, it ultimately leads to more complicated coding than is necessary for many GUIs, while at the same time burdening a system with extra computational costs and leading to less flexibility in adding items to a GUI at a later time.
In light of the aforementioned shortcomings in the art, a new API is desired that allows for simpler coding of tabular layouts. In addition, the API should maximize performance while minimizing the computational resources needed to generate tabular layouts.
In consideration of the above-identified shortcomings of the art, the present invention provides improved systems and methods for positioning items in a tabular layout. An API is provided for positioning items in a table. The API allows a number of columns or a number of rows, or both, to be specified for a table. Any items to be placed in the table may be passed to the API. Items may be “moveable,” or not associated with fixed positions in the table. The moveable items may be placed adjacently in the table to fill a first row, in the case where a number of columns is specified, or to fill a first column, in the case where a number of rows is specified. New rows or columns may be generated to accommodate additional items. Items may also be “fixed,” or associated with fixed positions in the table. Fixed items may be placed at their fixed location, while moveable items are positioned to fill in around the fixed items. A novel algorithm is provided to efficiently place both moveable and fixed items in a table. A dynamic reservation grid may be used in conjunction with the algorithm to reserve positions in the table, thereby accommodating items that span multiple columns and/or rows. Other advantages and features of the invention are described below.
The systems and methods for efficiently generating table layouts using moveable items in accordance with the present invention are further described with reference to the accompanying drawings in which:
a illustrates a prior art Graphical User Interface (GUI) 130 on a visual surface 129 that displays a tabular layout 150 for items 131-144.
b illustrates a prior art detailed view of an exemplary tabular layout 115 with items 100-110 arranged in various positions within the tabular layout 115.
c illustrates a prior art process for creating code to generate a tabular layout.
a is a block diagram broadly representing the basic features of an exemplary computing device suitable for use in conjunction with various aspects of the invention;
b is a block diagram representing a more detailed exemplary computing device suitable for use in conjunction with various aspects of the invention;
c illustrates an exemplary networked computing environment in which may computerized processes, including those of the invention, may be implemented;
a provides a graphical representation of a table definition in code that may be passed to the API of the invention. The exemplary table definition has three columns.
b provides a graphical representation of a table definition in code that may be passed to the API of the invention. The exemplary table definition has two rows.
c provides a graphical representation of a plurality of moveable item identifications in code that may be passed to the API of the invention.
d illustrates a table that can be generated by the API of the invention through combining the moveable items in
e illustrates a table that can be generated by the API of the invention through combining the moveable items in
a illustrates the head items of two lists that are generated in connection with
b illustrates another view of
c illustrates yet another view of
Certain specific details are set forth in the following description and figures to provide a thorough understanding of various embodiments of the invention. Certain well-known details often associated with computing and software technology are not set forth in the following disclosure, however, to avoid unnecessarily obscuring the various embodiments of the invention. Further, those of ordinary skill in the relevant art will understand that they can practice other embodiments of the invention without one or more of the details described below. Finally, while various methods are described with reference to steps and sequences in the following disclosure, the description as such is for providing a clear implementation of embodiments of the invention, and the steps and sequences of steps should not be taken as required to practice this invention.
The following detailed description will generally follow the summary of the invention, as set forth above, further explaining and expanding the definitions of the various aspects and embodiments of the invention as necessary. First, the operation of the novel API and exemplary code to access the functions thereof are set forth. Second, the algorithm for placing moveable and fixed items in a table is further explained.
Various embodiments of the contemplated API allow for a streamlined specification of a table property—either a number of rows or a number of columns, and an identification of items to include. The API can then use this information to generate a table layout. Various aspects of the invention may be understood with reference to
Embodiments of the API can take the simple code above and create the table layout of
The example above may be altered slightly to work with a specified number of rows instead of a specified number of columns.
Various embodiments of the API may be advantageously configured to allow each cell to contain no more than one item. To put multiple items in a cell, a nested a container, such as another table, may be identified as a single item and placed in the cell.
The items 301-306 used in the example above will be referred to as “moveable items.” They are items which are inserted in column-wise or row-wise order, and can be moved as necessary to be placed adjacent to other items in a table.
Note also that in the above scenario, where all items are moveable items, the order of placement of the items in the table impacts the layout of the table. For example, if item 302 were placed first, the table in
Note that embodiments of the invention can place moveable items in a row-major, column-minor sequence, i.e., from left to right and from top to bottom. However, any other sequence is also considered suitable, e.g., a right to left sequence, or a sequence that is right to left and bottom to top, which would generate new rows above the filled rows, and so on.
The layout of the items in a table such as
The effect of adding this label is depicted in
The label item with a fixed position in the table, referred to as Label1 above, is an example of what will be referred to as a “fixed item”. This is an item which has a fixed row and column position. As can be understood with reference to
It will be appreciated that the techniques described above may be used to create a more complicated table layout as well. Turning now to an exemplary use of the placement of items—here, moveable items as described generally above, compare the exemplary code below to the code needed to create the layout in
The above code introduces ColumnSpan and RowSpan. These are exemplary properties of items that may be used to define a size of items. In other words, these properties may set on an item to cause it to span more than one row or column. For example, Button5's ColumnSpan=4. Button8's RowSpan=2. Various embodiments of the invention may be configured to default items sizes to a size of one column width and one row height, or to any other column or row width and height. Thus, the size of items need not be specified, such as with Buttons 1-4 above, and the default size can be applied.
The simplicity of the coding effort in creating tables using an API with the features set forth here can be understood with reference to
With reference to
Various embodiments of the invention may be configured to allow a specification of both a number of rows and a number of columns, while other embodiments may not allow a specification of both. This choice is reflected in
In general, when both a number of columns and a number of rows are specified, a declaration such as the following may be used:
Then you can add 4 new “movable” elements to fill the table. For example:
Which may fill the created table above like so:
A question arises as to what should occur when a 5th movable element is added to the table. Three options are available:
Similar logic may be used for placing a fixed element outside a current number of rows and columns. For example, consider the 2×2 table again:
In this case, if GrowStyle is set to AddRows, the number of rows in the table can grow to accommodate the fixed element:
The above embodiment, namely wherein a row, rather than a column is added where a fixed element demands an extra column but the grow style has been set to add rows, is considered a preferred arrangement. The converse can be implemented when a fixed element has demanded an extra row but the grow style is set to add columns. One reason for using this implementation is it allows users to specify a number of rows and columns that is greater than the number of items that they may have, and thereby leave blank space in a table.
If the API does honor the specification of both row numbers and column numbers, then a decision must be made as to which will trump in the event of a conflict. If there are too many items for the available positions in a table, additional rows or columns can be added, deviating from the specified numbers, or an error can be generated. This process is reflected in
The operation of the novel API and exemplary code to access the functions thereof are set forth above. A complimentary aspect of the invention is an algorithm developed for placing the identified items in a table. The API discussed above may be used in conjunction with a wide variety of algorithms to accomplish the placement of moveable items in tables in accordance with the techniques of the invention, and the invention is not limited to the use of the particular algorithm set forth here.
In the above code, “flow” is used to identify moveable items Flow11101 and Flow21102, while “control” is used to identify items generally, and “fixed” is used to identify fixed item 1100 at coordinates (0,0). One goal of an exemplary algorithm for positioning the above identified elements is that of mixing moveable and fixed elements and assigning row and column positions to the moveable elements so they “flow around” the fixed elements. Another goal is to remain aware of the sizes of items as indicated by the exemplary column span and row span properties specified in the code, while at the same time using minimal minimum memory resources to do so.
As a first part of initiating the steps of the algorithm illustrated in
The moveable item list may be sorted by an order of insertion into the table, understanding that the order may be modified if a moveable item cannot fit into an available position in the table while another moveable item can fit in the available position. The fixed item list may be sorted by the specified locations of the controls in a row-major, column-minor order. In configurations of the invention where items are placed in an order other than row-major, column minor, the fixed item list may be sorted according to the new order. Assume for the purposes of the following discussion that the code defining the table and identifying items for placement therein specified a number of columns (not rows) and that the order of positioning is row-major, column-minor.
The algorithm can progress by placing a cursor at positions in a target table, investigating the status of the position identified by the cursor, and determining an appropriate action, such as placing a fixed item, placing a moveable item, or passing over the position.
Referring back to
Upon determining that fixed item 1100 is to be placed in position 1210a, the algorithm can reserve space for the fixed item 1100 and advance the cursor 1200 column-wise to 1220a, or coordinates (1,0). This step is illustrated in
In various other embodiments, items may be truncated if their size is larger than a specified size for the table. For example, if Flow21400 happened to have a ColumnSpan of 4 or greater, it could be moved to the beginning of its own row and then its horizontal size could be truncated to three columns, since the number of columns specified for the table may be considered a hard limit set for the table. In such embodiments of the invention, the result when Flow2144 has a size of four or more columns could be the same as when it had a three column size, as illustrated in
Column positions can be easily reserved using one bit per cell in a given row, and no bit array is necessary. Thus, when Flow11101 is placed, a single bit may be used to mark table position 1230a as reserved, and the algorithm can pass over this location. Row reservations are somewhat less straightforward, and can be accomplished using a sliding window approach.
To explain the sliding window approach, refer back to
In
Exemplary Computing and Network Environment
With reference to
b illustrates a somewhat more detailed example of a suitable computing device from
The invention is operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known computing systems, environments, and/or configurations that may be suitable for use with the invention include, but are not limited to, personal computers, server computers, hand-held or laptop devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
The invention may be implemented in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
With reference to
Computer 241 typically includes a variety of computer readable media. Computer readable media can be any available media that can be accessed by computer 241 and includes both volatile and nonvolatile media, removable and non-removable media. By way of example, and not limitation, computer readable media may comprise computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by computer 241. Communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media. The term “modulated data signal” means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, RF, infrared and other wireless media. Combinations of the any of the above should also be included within the scope of computer readable media.
The system memory 222 includes computer storage media in the form of volatile and/or nonvolatile memory such as read only memory (ROM) 223 and random access memory (RAM) 260. A basic input/output system 224 (BIOS), containing the basic routines that help to transfer information between elements within computer 241, such as during start-up, is typically stored in ROM 223. RAM 260 typically contains data and/or program modules that are immediately accessible to and/or presently being operated on by processing unit 259. By way of example, and not limitation,
The computer 241 may also include other removable/non-removable, volatile/nonvolatile computer storage media. By way of example only,
The drives and their associated computer storage media discussed above and illustrated in
The computer 241 may operate in a networked environment using logical connections to one or more remote computers, such as a remote computer 246. The remote computer 246 may be a personal computer, a server, a router, a network PC, a peer device or other common network node, and typically includes many or all of the elements described above relative to the computer 241, although only a memory storage device 247 has been illustrated in
When used in a LAN networking environment, the computer 241 is connected to the LAN 245 through a network interface or adapter 237. When used in a WAN networking environment, the computer 241 typically includes a modem 250 or other means for establishing communications over the WAN 249, such as the Internet. The modem 250, which may be internal or external, may be connected to the system bus 221 via the user input interface 236, or other appropriate mechanism. In a networked environment, program modules depicted relative to the computer 241, or portions thereof, may be stored in the remote memory storage device. By way of example, and not limitation,
It should be understood that the various techniques described herein may be implemented in connection with hardware or software or, where appropriate, with a combination of both. Thus, the methods and apparatus of the present invention, or certain aspects or portions thereof, may take the form of program code (i.e., instructions) embodied in tangible media, such as floppy diskettes, CD-ROMs, hard drives, or any other machine-readable storage medium wherein, when the program code is loaded into and executed by a machine, such as a computer, the machine becomes an apparatus for practicing the invention. In the case of program code execution on programmable computers, the computing device generally includes a processor, a storage medium readable by the processor (including volatile and non-volatile memory and/or storage elements), at least one input device, and at least one output device. One or more programs that may implement or utilize the processes described in connection with the invention, e.g., through the use of an API, reusable controls, or the like. Such programs are preferably implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language, and combined with hardware implementations.
Although exemplary embodiments refer to utilizing the present invention in the context of one or more stand-alone computer systems, the invention is not so limited, but rather may be implemented in connection with any computing environment, such as a network or distributed computing environment. Still further, the present invention may be implemented in or across a plurality of processing chips or devices, and storage may similarly be effected across a plurality of devices. Such devices might include personal computers, network servers, handheld devices, supercomputers, or computers integrated into other systems such as automobiles and airplanes.
An exemplary networked computing environment is provided in
Distributed computing provides sharing of computer resources and services by exchange between computing devices and systems. These resources and services include the exchange of information, cache storage and disk storage for files. Distributed computing takes advantage of network connectivity, allowing clients to leverage their collective power to benefit the entire enterprise. In this regard, a variety of devices may have applications, objects or resources that may implicate the processes described herein.
c provides a schematic diagram of an exemplary networked or distributed computing environment. The environment comprises computing devices 271, 272, 276, and 277 as well as objects 273, 274, and 275, and database 278. Each of these entities 271, 272, 273, 274, 275, 276, 277 and 278 may comprise or make use of programs, methods, data stores, programmable logic, etc. The entities 271, 272, 273, 274, 275, 276, 277 and 278 may span portions of the same or different devices such as PDAs, audio/video devices, MP3 players, personal computers, etc. Each entity 271, 272, 273, 274, 275, 276, 277 and 278 can communicate with another entity 271, 272, 273, 274, 275, 276, 277 and 278 by way of the communications network 270. In this regard, any entity may be responsible for the maintenance and updating of a database 278 or other storage element.
This network 270 may itself comprise other computing entities that provide services to the system of
It can also be appreciated that an object, such as 275, may be hosted on another computing device 276. Thus, although the physical environment depicted may show the connected devices as computers, such illustration is merely exemplary and the physical environment may alternatively be depicted or described comprising various digital devices such as PDAs, televisions, MP3 players, etc., software objects such as interfaces, COM objects and the like.
There are a variety of systems, components, and network configurations that support distributed computing environments. For example, computing systems may be connected together by wired or wireless systems, by local networks or widely distributed networks. Currently, many networks are coupled to the Internet, which provides an infrastructure for widely distributed computing and encompasses many different networks. Any such infrastructures, whether coupled to the Internet or not, may be used in conjunction with the systems and methods provided.
A network infrastructure may enable a host of network topologies such as client/server, peer-to-peer, or hybrid architectures. The “client” is a member of a class or group that uses the services of another class or group to which it is not related. In computing, a client is a process, i.e., roughly a set of instructions or tasks, that requests a service provided by another program. The client process utilizes the requested service without having to “know” any working details about the other program or the service itself. In a client/server architecture, particularly a networked system, a client is usually a computer that accesses shared network resources provided by another computer, e.g., a server. In the example of
A server is typically, though not necessarily, a remote computer system accessible over a remote or local network, such as the Internet. The client process may be active in a first computer system, and the server process may be active in a second computer system, communicating with one another over a communications medium, thus providing distributed functionality and allowing multiple clients to take advantage of the information-gathering capabilities of the server. Any software objects may be distributed across multiple computing devices or objects.
Client(s) and server(s) communicate with one another utilizing the functionality provided by protocol layer(s). For example, HyperText Transfer Protocol (HTTP) is a common protocol that is used in conjunction with the World Wide Web (WWW), or “the Web.” Typically, a computer network address such as an Internet Protocol (IP) address or other reference such as a Universal Resource Locator (URL) can be used to identify the server or client computers to each other. The network address can be referred to as a URL address. Communication can be provided over a communications medium, e.g., client(s) and server(s) may be coupled to one another via TCP/IP connection(s) for high-capacity communication.
In light of the diverse computing environments that may be built according to the general framework of provided in
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