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  • How do I combine data from multiple rows in excel to one cell?

    - by Steve
    I have a list of product skus in one column in excel. I have thousands of these skus that need to be combined in one cell separated by commas with no spaces. There are too many rows of data to use the concatenate function. Not sure how to get this done. Here's an example of what I'm working with but with 6,000+ more rows. I'm using Excel 2003. A 140-12 1074-156 903-78 876-65 349-09 986-43 237-12 342-11 450-187 677-133

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  • iphone keyboard won't appear

    - by d_CFO
    I can click on the field, and it momentarily turns blue, but those events plus makeFirstResponder together do not cause the keyboard to show on a UITextField. Plain vanilla code follows; I include it so others can discern what is NOT there and therefore what, presumably, with solve the problem. I put in leading spaces to format this question more like code, but the parser seems to have stripped them, thus leaving left-justified code. Sorry! UITextFieldDelete, check: @interface RevenueViewController : UIViewController <UITableViewDelegate, UITableViewDataSource, UITextFieldDelegate> { UILabel *sgmntdControlLabel; UISegmentedControl *sgmntdControl; UITableView *theTableView; } @property(nonatomic,retain) UISegmentedControl *sgmntdControl; @property(nonatomic,retain) UILabel *sgmntdControlLabel; Delegate and source, check. -(void)loadView; // code CGRect frameTable = CGRectMake(10,0,300,260); theTableView = [[UITableView alloc] initWithFrame:frameTable style:UITableViewStyleGrouped]; [theTableView setDelegate:self]; [theTableView setDataSource:self]; // code [self.view addSubview:theTableView]; [super viewDidLoad]; } Insert UITextField to cell, check. - (UITableViewCell *)tableView:(UITableView *)tableView cellForRowAtIndexPath:(NSIndexPath *)indexPath { NSInteger sectionNmbr = [indexPath section]; NSInteger rowNmbr = [indexPath row]; NSLog(@"cellForRowAtIndexPath=%d, %d",sectionNmbr,rowNmbr); static NSString *CellIdentifier = @"Cell"; UITableViewCell *cell = [tableView dequeueReusableCellWithIdentifier:CellIdentifier]; if (cell == nil) { cell = [[[UITableViewCell alloc] initWithStyle:UITableViewCellStyleDefault reuseIdentifier:CellIdentifier] autorelease]; } // Configure the cell. switch (sectionNmbr) { case 0: if (rowNmbr == 0) { cell.tag = 1; cell.textLabel.text = @"Label for sctn 0, row 0"; UITextField *tf = [[UITextField alloc] init]; tf.keyboardType = UIKeyboardTypeNumberPad; tf.returnKeyType = UIReturnKeyDone; tf.delegate = self; [cell.contentView addSubview:tf]; } if (rowNmbr == 1) { cell.tag = 2; cell.textLabel.text = @"Label for sctn 0, row 1"; cell.accessoryType = UITableViewCellAccessoryDetailDisclosureButton; } break; } } Successfully end up where we want to be (?), no check, (and no keyboard!): - (void)tableView:(UITableView *)tableView didSelectRowAtIndexPath:(NSIndexPath *)indexPath { NSLog(@"didSelectRowAtIndexPath"); switch (indexPath.section) { case 0: NSLog(@" section=0, rowNmbr=%d",indexPath.row); switch (indexPath.row) { case 0: UITableViewCell *cellSelected = [tableView cellForRowAtIndexPath: indexPath]; UITextField *textField = [[cellSelected.contentView subviews] objectAtIndex: 0]; [ textField setEnabled: YES ]; [textField becomeFirstResponder]; // here is where keyboard will appear? [tableView deselectRowAtIndexPath: indexPath animated: NO]; break; case 1: // code break; default: break; } break; case 1: // code break; default: // handle otherwise un-handled exception break; } } Thank you for your insights!

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  • Copy Excel Formatting the Easy Way with Format Painter

    - by DigitalGeekery
    The Format Painter in Excel makes it easy to copy the formatting of a cell and apply it to another. With just a few clicks you can reproduce formatting such as fonts, alignment, text size, border, and background color. On any Excel worksheet, click on the cell with the formatting you’d like to copy.  You will see dashed lines around the selected cell. Then select the Home tab and click on the Format Painter.   You’ll see your cursor now includes a paintbrush graphic. Move to the cell where you’d like to apply the formatting and click on it. Your target cell will now have the new formatting.   If you double-clicking on Format Painter you can then click on multiple individual files to which to apply the format. Or, you can click and drag across a group of cells. When you are finished applying formats, click on Format Painter again, or on the Esc key, to turn it off. The Format Painter is a very simple, but extremely useful and time saving tool when creating complex worksheets. Similar Articles Productive Geek Tips Use Conditional Formatting to Find Duplicate Data in Excel 2007Remove Text Formatting in Firefox the Easy WayMake Excel 2007 Always Save in Excel 2003 FormatUsing Conditional Cell Formatting in Excel 2007Make Word 2007 Always Save in Word 2003 Format TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 New Firefox release 3.6.3 fixes 1 Critical bug Dark Side of the Moon (8-bit) Norwegian Life If Web Browsers Were Modes of Transportation Google Translate (for animals) Roadkill’s Scan Port scans for open ports

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  • Why can't I connect to a Cisco wireless access point?

    - by spinlock
    I'm running a Lucid Netbook Remix on my Dell Inspiron 600m and I was not able to connect to the wireless network at the Hacker Dojo in Mountain View yesterday. There were plenty of other people on the network - MS, Mac, and Linux boxes - but my laptop would never get an ip address. I can connect to my home network, which is open, and I've never had a problem connecting at the coffee shop, which uses WPA. The Hacker Dojo is running WPA and we checked the password a number of times but got no love. Any ideas would be greatly appreciated. Additional Info: $iwlist eth1 scan eth1 Scan completed : Cell 01 - Address: EC:C8:82:FA:63:92 ESSID:"HackerDojo-gwifi" Protocol:IEEE 802.11g Mode:Master Frequency:2.412 GHz (Channel 1) Encryption key:on Bit Rates:1 Mb/s; 2 Mb/s; 5.5 Mb/s; 6 Mb/s; 9 Mb/s 11 Mb/s; 12 Mb/s; 18 Mb/s; 24 Mb/s; 36 Mb/s 48 Mb/s; 54 Mb/s Quality:62 Signal level:0 Noise level:0 IE: WPA Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : TKIP Authentication Suites (1) : PSK IE: IEEE 802.11i/WPA2 Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : CCMP Authentication Suites (1) : PSK Extra: Last beacon: 280ms ago Cell 02 - Address: 00:18:4D:24:08:61 ESSID:"Green Zone" Protocol:IEEE 802.11bg Mode:Master Frequency:2.417 GHz (Channel 2) Encryption key:on Bit Rates:1 Mb/s; 2 Mb/s; 5.5 Mb/s; 11 Mb/s; 6 Mb/s 9 Mb/s; 12 Mb/s; 18 Mb/s; 24 Mb/s; 36 Mb/s 48 Mb/s; 54 Mb/s Quality:23 Signal level:0 Noise level:0 IE: WPA Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : TKIP Authentication Suites (1) : PSK IE: IEEE 802.11i/WPA2 Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : CCMP Authentication Suites (1) : PSK Extra: Last beacon: 11516ms ago Cell 03 - Address: 08:17:35:32:6E:13 ESSID:"\x00" Protocol:IEEE 802.11g Mode:Master Frequency:2.437 GHz (Channel 6) Encryption key:on Bit Rates:1 Mb/s; 2 Mb/s; 5.5 Mb/s; 6 Mb/s; 9 Mb/s 11 Mb/s; 12 Mb/s; 18 Mb/s; 24 Mb/s; 36 Mb/s 48 Mb/s; 54 Mb/s Quality:71 Signal level:0 Noise level:0 IE: WPA Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : TKIP Authentication Suites (1) : PSK IE: IEEE 802.11i/WPA2 Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : CCMP Authentication Suites (1) : PSK Extra: Last beacon: 2760ms ago Cell 04 - Address: EC:C8:82:FA:63:90 ESSID:"HackerDojo" Protocol:IEEE 802.11g Mode:Master Frequency:2.412 GHz (Channel 1) Encryption key:on Bit Rates:1 Mb/s; 2 Mb/s; 5.5 Mb/s; 6 Mb/s; 9 Mb/s 11 Mb/s; 12 Mb/s; 18 Mb/s; 24 Mb/s; 36 Mb/s 48 Mb/s; 54 Mb/s Quality:61 Signal level:0 Noise level:0 IE: WPA Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : TKIP Authentication Suites (1) : PSK IE: IEEE 802.11i/WPA2 Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : CCMP Authentication Suites (1) : PSK Extra: Last beacon: 772ms ago Cell 05 - Address: 08:17:35:32:6E:11 ESSID:"HackerDojo-Presenter" Protocol:IEEE 802.11g Mode:Master Frequency:2.437 GHz (Channel 6) Encryption key:on Bit Rates:1 Mb/s; 2 Mb/s; 5.5 Mb/s; 6 Mb/s; 9 Mb/s 11 Mb/s; 12 Mb/s; 18 Mb/s; 24 Mb/s; 36 Mb/s 48 Mb/s; 54 Mb/s Quality:65 Signal level:0 Noise level:0 IE: WPA Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : TKIP Authentication Suites (1) : PSK IE: IEEE 802.11i/WPA2 Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : CCMP Authentication Suites (1) : PSK Extra: Last beacon: 3308ms ago Cell 06 - Address: 08:17:35:32:7E:31 ESSID:"HackerDojo-Presenter" Protocol:IEEE 802.11g Mode:Master Frequency:2.462 GHz (Channel 11) Encryption key:on Bit Rates:1 Mb/s; 2 Mb/s; 5.5 Mb/s; 6 Mb/s; 9 Mb/s 11 Mb/s; 12 Mb/s; 18 Mb/s; 24 Mb/s; 36 Mb/s 48 Mb/s; 54 Mb/s Quality:88 Signal level:0 Noise level:0 IE: WPA Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : TKIP Authentication Suites (1) : PSK IE: IEEE 802.11i/WPA2 Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : CCMP Authentication Suites (1) : PSK Extra: Last beacon: 1668ms ago Cell 07 - Address: 38:E7:D8:01:46:1E ESSID:"JWS_Incredible" Protocol:IEEE 802.11bg Mode:Master Frequency:2.412 GHz (Channel 1) Encryption key:on Bit Rates:1 Mb/s; 2 Mb/s; 5.5 Mb/s; 6 Mb/s; 9 Mb/s 11 Mb/s; 12 Mb/s; 18 Mb/s; 24 Mb/s; 36 Mb/s 48 Mb/s; 500 kb/s; 54 Mb/s Quality:31 Signal level:0 Noise level:0 IE: WPA Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : TKIP Authentication Suites (1) : PSK Extra: Last beacon: 2848ms ago Cell 08 - Address: 08:17:35:32:6E:10 ESSID:"HackerDojo" Protocol:IEEE 802.11g Mode:Master Frequency:2.437 GHz (Channel 6) Encryption key:on Bit Rates:1 Mb/s; 2 Mb/s; 5.5 Mb/s; 6 Mb/s; 9 Mb/s 11 Mb/s; 12 Mb/s; 18 Mb/s; 24 Mb/s; 36 Mb/s 48 Mb/s; 54 Mb/s Quality:67 Signal level:0 Noise level:0 IE: WPA Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : TKIP Authentication Suites (1) : PSK IE: IEEE 802.11i/WPA2 Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : CCMP Authentication Suites (1) : PSK Extra: Last beacon: 7848ms ago Cell 09 - Address: 08:17:35:32:7E:30 ESSID:"HackerDojo" Protocol:IEEE 802.11g Mode:Master Frequency:2.462 GHz (Channel 11) Encryption key:on Bit Rates:1 Mb/s; 2 Mb/s; 5.5 Mb/s; 6 Mb/s; 9 Mb/s 11 Mb/s; 12 Mb/s; 18 Mb/s; 24 Mb/s; 36 Mb/s 48 Mb/s; 54 Mb/s Quality:85 Signal level:0 Noise level:0 IE: WPA Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : TKIP Authentication Suites (1) : PSK IE: IEEE 802.11i/WPA2 Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : CCMP Authentication Suites (1) : PSK Extra: Last beacon: 8300ms ago Cell 10 - Address: 08:17:35:32:6E:12 ESSID:"HackerDojo-gwifi" Protocol:IEEE 802.11g Mode:Master Frequency:2.437 GHz (Channel 6) Encryption key:on Bit Rates:1 Mb/s; 2 Mb/s; 5.5 Mb/s; 6 Mb/s; 9 Mb/s 11 Mb/s; 12 Mb/s; 18 Mb/s; 24 Mb/s; 36 Mb/s 48 Mb/s; 54 Mb/s Quality:68 Signal level:0 Noise level:0 IE: WPA Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : TKIP Authentication Suites (1) : PSK IE: IEEE 802.11i/WPA2 Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : CCMP Authentication Suites (1) : PSK Extra: Last beacon: 232ms ago Cell 11 - Address: 08:17:35:32:7E:32 ESSID:"HackerDojo-gwifi" Protocol:IEEE 802.11g Mode:Master Frequency:2.462 GHz (Channel 11) Encryption key:on Bit Rates:1 Mb/s; 2 Mb/s; 5.5 Mb/s; 6 Mb/s; 9 Mb/s 11 Mb/s; 12 Mb/s; 18 Mb/s; 24 Mb/s; 36 Mb/s 48 Mb/s; 54 Mb/s Quality:86 Signal level:0 Noise level:0 IE: WPA Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : TKIP Authentication Suites (1) : PSK IE: IEEE 802.11i/WPA2 Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : CCMP Authentication Suites (1) : PSK Extra: Last beacon: 168ms ago Cell 12 - Address: EC:C8:82:FA:63:91 ESSID:"HackerDojo-Presenter" Protocol:IEEE 802.11g Mode:Master Frequency:2.412 GHz (Channel 1) Encryption key:on Bit Rates:1 Mb/s; 2 Mb/s; 5.5 Mb/s; 6 Mb/s; 9 Mb/s 11 Mb/s; 12 Mb/s; 18 Mb/s; 24 Mb/s; 36 Mb/s 48 Mb/s; 54 Mb/s Quality:62 Signal level:0 Noise level:0 IE: WPA Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : TKIP Authentication Suites (1) : PSK IE: IEEE 802.11i/WPA2 Version 1 Group Cipher : TKIP Pairwise Ciphers (1) : CCMP Authentication Suites (1) : PSK Extra: Last beacon: 7408ms ago $iwconfig eth1 eth1 unassociated ESSID:"HackerDojo-gwifi" Nickname:"ipw2100" Mode:Managed Channel=0 Access Point: Not-Associated Bit Rate:0 kb/s Tx-Power:16 dBm Retry short limit:7 RTS thr:off Fragment thr:off Encryption key:off Power Management:off Link Quality:0 Signal level:0 Noise level:0 Rx invalid nwid:0 Rx invalid crypt:0 Rx invalid frag:0 Tx excessive retries:0 Invalid misc:0 Missed beacon:0

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  • Partial recalculation of visibility on a 2D uniform grid

    - by Martin Källman
    Problem Imagine that we have a 2D uniform grid of dimensions N x N. For this grid we have also pre-computed a visibility look-up table, e.g. with DDA, which answers the boolean query is cell X visible from cell Y? The look-up table is a complete graph KN of the cells V in the grid, with each edge E being a binary value denoting the visibility between its vertices. Question If any given cell has its visibility modified, is it possible to extract the subset Edelta of edges which must have their visibility recomputed due to the change, so as to avoid a full-on recomputation for the entire grid? (Which is N(N-1) / 2 or N2 depending on the implementation) Update If is not possible to solve thi in closed form, then maintaining a separate mapping of each cell and every cell pair who's line intersects said cell might also be an option. This obviously consumes more memory, but the data is static. The increased memory requirement could be reduced by introducing a hierarchy, subdividing the grid into smaller parts, and by doing so the above mapping can be reused for each sub-grid. This would come at a cost in terms of increased computation relative to the number of subdivisions; also requiring a resumable ray-casting algorithm.

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  • How do I improve terrain rendering batch counts using DirectX?

    - by gamer747
    We have determined that our terrain rendering system needs some work to minimize the number of batches being transferred to the GPU in order to improve performance. I'm looking for suggestions on how best to improve what we're trying to accomplish. We logically split our terrain mesh into smaller grid cells which are 32x32 world units. Each cell has meta data that dictates the four 256x256 textures that are used for spatting along with the alpha blend data, shadow, and light mappings. Each cell contains 81 vertices in a 9x9 grid. Presently, we examine each cell and determine the four textures that are being used to spat the cell. We combine that geometry with any other cell that perhaps uses the same four textures regardless of spat order. If the spat order for a cell differs, the blend map is adjusted so that the spat order is maintained the same as other like cells and blending happens in the right order too. But even with this batching approach, it isn't uncommon when looking out across an area of open terrain to have between 1200-1700 batch count depending upon how frequently textures differ or have different texture blends are between cells. We are only doing frustum culling presently. So using texture spatting, are there other alternatives that can reduce the batch count and allow rendering to be extremely performance-friendly even under DirectX9c? We considered using texture atlases since we're targeting DirectX 9c & older OpenGL platforms but trying to repeat textures using atlases and shaders result in seam artifacts which we haven't been able to eliminate with the exception of disabling mipmapping. Disabling mipmapping results in poor quality textures from a distance. How have others batched together terrain geometry such that one could spat terrain using various textures, minimizing batch count and texture state switches so that rendering performance isn't negatively impacted?

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  • Exadata???DiskGroup

    - by Liu Maclean(???)
    Exadata???Asm Diskgroup ???????: 1.??dcli -g /home/oracle/cell_group -l root cellcli -e list griddisk ????active?griddisk [root@dm01db01 ~]# dcli -g /home/oracle/cell_group -l root cellcli -e list griddisk dm01cel01: DATA_DM01_CD_00_dm01cel01 active dm01cel01: DATA_DM01_CD_01_dm01cel01 active dm01cel01: DATA_DM01_CD_02_dm01cel01 active dm01cel01: DATA_DM01_CD_03_dm01cel01 active dm01cel01: DATA_DM01_CD_04_dm01cel01 active dm01cel01: DATA_DM01_CD_05_dm01cel01 active dm01cel01: DATA_DM01_CD_06_dm01cel01 active dm01cel01: DATA_DM01_CD_07_dm01cel01 active dm01cel01: DATA_DM01_CD_08_dm01cel01 active dm01cel01: DATA_DM01_CD_09_dm01cel01 active dm01cel01: DATA_DM01_CD_10_dm01cel01 active dm01cel01: DATA_DM01_CD_11_dm01cel01 active dm01cel01: DBFS_DG_CD_02_dm01cel01 active dm01cel01: DBFS_DG_CD_03_dm01cel01 active dm01cel01: DBFS_DG_CD_04_dm01cel01 active dm01cel01: DBFS_DG_CD_05_dm01cel01 active dm01cel01: DBFS_DG_CD_06_dm01cel01 active dm01cel01: DBFS_DG_CD_07_dm01cel01 active dm01cel01: DBFS_DG_CD_08_dm01cel01 active dm01cel01: DBFS_DG_CD_09_dm01cel01 active dm01cel01: DBFS_DG_CD_10_dm01cel01 active dm01cel01: DBFS_DG_CD_11_dm01cel01 active dm01cel01: RECO_DM01_CD_00_dm01cel01 active dm01cel01: RECO_DM01_CD_01_dm01cel01 active dm01cel01: RECO_DM01_CD_02_dm01cel01 active dm01cel01: RECO_DM01_CD_03_dm01cel01 active dm01cel01: RECO_DM01_CD_04_dm01cel01 active dm01cel01: RECO_DM01_CD_05_dm01cel01 active dm01cel01: RECO_DM01_CD_06_dm01cel01 active dm01cel01: RECO_DM01_CD_07_dm01cel01 active dm01cel01: RECO_DM01_CD_08_dm01cel01 active dm01cel01: RECO_DM01_CD_09_dm01cel01 active dm01cel01: RECO_DM01_CD_10_dm01cel01 active dm01cel01: RECO_DM01_CD_11_dm01cel01 active dm01cel02: DATA_DM01_CD_00_dm01cel02 active dm01cel02: DATA_DM01_CD_01_dm01cel02 active dm01cel02: DATA_DM01_CD_02_dm01cel02 active dm01cel02: DATA_DM01_CD_03_dm01cel02 active dm01cel02: DATA_DM01_CD_04_dm01cel02 active dm01cel02: DATA_DM01_CD_05_dm01cel02 active dm01cel02: DATA_DM01_CD_06_dm01cel02 active dm01cel02: DATA_DM01_CD_07_dm01cel02 active dm01cel02: DATA_DM01_CD_08_dm01cel02 active dm01cel02: DATA_DM01_CD_09_dm01cel02 active dm01cel02: DATA_DM01_CD_10_dm01cel02 active dm01cel02: DATA_DM01_CD_11_dm01cel02 active dm01cel02: DBFS_DG_CD_02_dm01cel02 active dm01cel02: DBFS_DG_CD_03_dm01cel02 active dm01cel02: DBFS_DG_CD_04_dm01cel02 active dm01cel02: DBFS_DG_CD_05_dm01cel02 active dm01cel02: DBFS_DG_CD_06_dm01cel02 active dm01cel02: DBFS_DG_CD_07_dm01cel02 active dm01cel02: DBFS_DG_CD_08_dm01cel02 active dm01cel02: DBFS_DG_CD_09_dm01cel02 active dm01cel02: DBFS_DG_CD_10_dm01cel02 active dm01cel02: DBFS_DG_CD_11_dm01cel02 active dm01cel02: RECO_DM01_CD_00_dm01cel02 active dm01cel02: RECO_DM01_CD_01_dm01cel02 active dm01cel02: RECO_DM01_CD_02_dm01cel02 active dm01cel02: RECO_DM01_CD_03_dm01cel02 active dm01cel02: RECO_DM01_CD_04_dm01cel02 active dm01cel02: RECO_DM01_CD_05_dm01cel02 active dm01cel02: RECO_DM01_CD_06_dm01cel02 active dm01cel02: RECO_DM01_CD_07_dm01cel02 active dm01cel02: RECO_DM01_CD_08_dm01cel02 active dm01cel02: RECO_DM01_CD_09_dm01cel02 active dm01cel02: RECO_DM01_CD_10_dm01cel02 active dm01cel02: RECO_DM01_CD_11_dm01cel02 active dm01cel03: DATA_DM01_CD_00_dm01cel03 active dm01cel03: DATA_DM01_CD_01_dm01cel03 active dm01cel03: DATA_DM01_CD_02_dm01cel03 active dm01cel03: DATA_DM01_CD_03_dm01cel03 active dm01cel03: DATA_DM01_CD_04_dm01cel03 active dm01cel03: DATA_DM01_CD_05_dm01cel03 active dm01cel03: DATA_DM01_CD_06_dm01cel03 active dm01cel03: DATA_DM01_CD_07_dm01cel03 active dm01cel03: DATA_DM01_CD_08_dm01cel03 active dm01cel03: DATA_DM01_CD_09_dm01cel03 active dm01cel03: DATA_DM01_CD_10_dm01cel03 active dm01cel03: DATA_DM01_CD_11_dm01cel03 active dm01cel03: DBFS_DG_CD_02_dm01cel03 active dm01cel03: DBFS_DG_CD_03_dm01cel03 active dm01cel03: DBFS_DG_CD_04_dm01cel03 active dm01cel03: DBFS_DG_CD_05_dm01cel03 active dm01cel03: DBFS_DG_CD_06_dm01cel03 active dm01cel03: DBFS_DG_CD_07_dm01cel03 active dm01cel03: DBFS_DG_CD_08_dm01cel03 active dm01cel03: DBFS_DG_CD_09_dm01cel03 active dm01cel03: DBFS_DG_CD_10_dm01cel03 active dm01cel03: DBFS_DG_CD_11_dm01cel03 active dm01cel03: RECO_DM01_CD_00_dm01cel03 active dm01cel03: RECO_DM01_CD_01_dm01cel03 active dm01cel03: RECO_DM01_CD_02_dm01cel03 active dm01cel03: RECO_DM01_CD_03_dm01cel03 active dm01cel03: RECO_DM01_CD_04_dm01cel03 active dm01cel03: RECO_DM01_CD_05_dm01cel03 active dm01cel03: RECO_DM01_CD_06_dm01cel03 active dm01cel03: RECO_DM01_CD_07_dm01cel03 active dm01cel03: RECO_DM01_CD_08_dm01cel03 active dm01cel03: RECO_DM01_CD_09_dm01cel03 active dm01cel03: RECO_DM01_CD_10_dm01cel03 active dm01cel03: RECO_DM01_CD_11_dm01cel03 active ??????????griddisk, ?????’cellcli -e drop griddisk’ ?’cellcli -e create griddisk’????griddisk ,??????drop DBFS_DG???griddisk 2.??ASM???create disk group ?????CELL?IP,????????????? [root@dm01db02 ~]# cat /etc/oracle/cell/network-config/cellip.ora cell="192.168.64.131" cell="192.168.64.132" cell="192.168.64.133" SQL> create diskgroup DATA_MAC normal redundancy 2 DISK 3 'o/192.168.64.131/RECO_DM01_CD_*_dm01cel01' 4 ,'o/192.168.64.132/RECO_DM01_CD_*_dm01cel02' 5 ,'o/192.168.64.133/RECO_DM01_CD_*_dm01cel03' 6 attribute 7 'AU_SIZE'='4M', 8 'CELL.SMART_SCAN_CAPABLE'='TRUE', 9 'compatible.rdbms'='11.2.0.2', 10 'compatible.asm'='11.2.0.2' 11 / 3. MOUNT ???DISKGROUP ALTER DISKGROUP DATA_MAC mount ; 4.???crsctl start/stop resource ora.DATA_MAC.dg ?????

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  • Efficient method of getting all plist arrays into one array?

    - by cannyboy
    If I have a plist which is structured like this: Root Array Item 0 Dictionary City String New York People Array Item 0 String Steve Item 1 String Paul Item 2 String Fabio Item 3 String David Item 4 String Penny Item 1 Dictionary City String London People Array Item 0 String Linda Item 1 String Rachel Item 2 String Jessica Item 3 String Lou Item 2 Dictionary City String Barcelona People Array Item 0 String Edward Item 1 String Juan Item 2 String Maria Then what is the most efficient way of getting all the names of the people into one big NSArray?

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  • How to Declare an Array of Generic Dictionaries in C#?

    - by Nave
    I want to create an array of Dictionaries. But the array size is unknown. For integer, i used List to obtain the integer array of unknown size. But in the case of Dictionary, am not able to create a list of Dictionary. Is thr any wayz by which this can be done? Dictionary(int, String) paramList=null;I am want to create the array of paramList(above). I am using C Sharp.

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  • PHP output of foreach loop into a new array.

    - by RobHardgood
    I know I'm probably missing something easy, but I have a foreach loop and I'm trying to modify the values of the first array, and output a new array with the modifications as the new values. Basically I'm starting with an array: 0 = A:B 1 = B:C 2 = C:D And I'm using explode() to strip out the :'s and second letters, so I want to be left with an array: 0 = A 1 = B 2 = C The explode() part of my function works fine, but I only seem to get single string outputs. A, B, and C.

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  • How to store array in session in asp.net mvc?

    - by mary
    Can you please tell me how to store an array in session and how to retrieve that array from session? I am trying to store one array of type Double and assigning values of the same type but it is showing me an error so please can anyone tell me how to assign values to the array which is in session? Thank You

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  • How can I pass an array of floats to the fragment shader using textures?

    - by James
    I want to map out a 2D array of depth elements for the fragment shader to use to check depth against to create shadows. I want to be able to copy a float array into the GPU, but using large uniform arrays causes segfaults in openGL so that is not an option. I tried texturing but the best i got was to use GL_DEPTH_COMPONENT glTexImage2D(GL_TEXTURE_2D, 0, GL_DEPTH_COMPONENT, 512, 512, 0, GL_DEPTH_COMPONENT, GL_FLOAT, smap); Which doesn't work because that stores depth components (0.0 - 1.0) which I don't want because I have no idea how to calculate them using the depth value produced by the light sources MVP matrix multiplied by the coordinate of each vertex. Is there any way to store and access large 2D arrays of floats in openGL?

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  • Why does my code dividing a 2D array into chunks fail?

    - by Borog
    I have a 2D-Array representing my world. I want to divide this huge thing into smaller chunks to make collision detection easier. I have a Chunk class that consists only of another 2D Array with a specific width and height and I want to iterate through the world, create new Chunks and add them to a list (or maybe a Map with Coordinates as the key; we'll see about that). world = new World(8192, 1024); Integer[][] chunkArray; for(int a = 0; a < map.getHeight() / Chunk.chunkHeight; a++) { for(int b = 0; b < map.getWidth() / Chunk.chunkWidth; b++) { Chunk chunk = new Chunk(); chunkArray = new Integer[Chunk.chunkWidth][Chunk.chunkHeight]; for(int x = Chunk.chunkHeight*a; x < Chunk.chunkHeight*(a+1); x++) { for(int y = Chunk.chunkWidth*b; y < Chunk.chunkWidth*(b+1); y++) { // Yes, the tileMap actually is [height][width] I'll have // to fix that somewhere down the line -.- chunkArray[y][x] = map.getTileMap()[x*a][y*b]; // TODO:Attach to chunk } } chunkList.add(chunk); } } System.out.println(chunkList.size()); The two outer loops get a new chunk in a specific row and column. I do that by dividing the overall size of the map by the chunkSize. The inner loops then fill a new chunkArray and attach it to the chunk. But somehow my maths is broken here. Let's assume the chunkHeight = chunkWidth = 64. For the first Array I want to start at [0][0] and go until [63][63]. For the next I want to start at [64][64] and go until [127][127] and so on. But I get an out of bounds exception and can't figure out why. Any help appreciated! Actually I think I know where the problem lies: chunkArray[y][x] can't work, because y goes from 0-63 just in the first iteration. Afterwards it goes from 64-127, so sure it is out of bounds. Still no nice solution though :/ EDIT: if(y < Chunk.chunkWidth && x < Chunk.chunkHeight) chunkArray[y][x] = map.getTileMap()[y][x]; This works for the first iteration... now I need to get the commonly accepted formula.

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  • Handy Javascript array Extensions &ndash; contains(&hellip;)

    - by Liam McLennan
    This javascript adds a method to javascript arrays that returns a boolean indicating if the supplied object is an element of the array Array.prototype.contains = function(item) { for (var i = 0; i < this.length; i += 1) { if (this[i] === item) { return true; } } return false; }; To test alert([1,1,1,2,2,22,3,4,5,6,7,5,4].contains(2)); // true alert([1,1,1,2,2,22,3,4,5,6,7,5,4].contains(99)); // false

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  • When to use an Array vs When to use a Vector, when dealing with GameObjects?

    - by user32465
    I understand that from other answers, Arrays and Vectors are the best choices. Many on SE claim that Linked Lists and Maps are bad for video game programming. I understand that for the most part, I can use Arrays. However, I don't really understand exactly when to use Vectors over Arrays. Why even use Vectors? Wouldn't it be best if I simply always used an Array, that way I know how much memory my game needs? Specifically my game would only ever load a single "Map" area of tiles, such as Map[100][100], so I could very easily have an array of GameObjectContainer GameObjects[100][100], which would reserve an entire map's worth of possible gameobjects, correct? So why use a Vector instead? Memory is quite large on modern hardware.

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  • Initialize array in O(1) -- how is this trick called?

    - by user946850
    There is this pattern that trades performance of array access against the need to iterate it when clearing it. You keep a generation counter with each entry, and also a global generation counter. The "clear" operation increases the generation counter. On each access, you compare local vs. global generation counters; if they differ, the array has been reset. This has come up in StackOverflow recently, but I don't remember if this trick has an official name. Does it? One use case is Dijkstra's algorithm if only a tiny subset of the nodes has to be relaxed, and if this has to be done repeatedly.

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  • Multiple errors while adding searching to app

    - by Thijs
    Hi, I'm fairly new at iOS programming, but I managed to make a (in my opinion quite nice) app for the app store. The main function for my next update will be a search option for the app. I followed a tutorial I found on the internet and adapted it to fit my app. I got back quite some errors, most of which I managed to fix. But now I'm completely stuck and don't know what to do next. I know it's a lot to ask, but if anyone could take a look at the code underneath, it would be greatly appreciated. Thanks! // // RootViewController.m // GGZ info // // Created by Thijs Beckers on 29-12-10. // Copyright 2010 __MyCompanyName__. All rights reserved. // #import "RootViewController.h" // Always import the next level view controller header(s) #import "CourseCodes.h" @implementation RootViewController @synthesize dataForCurrentLevel, tableViewData; #pragma mark - #pragma mark View lifecycle // OVERRIDE METHOD - (void)viewDidLoad { [super viewDidLoad]; // Go get the data for the app... // Create a custom string that points to the right location in the app bundle NSString *pathToPlist = [[NSBundle mainBundle] pathForResource:@"SCSCurriculum" ofType:@"plist"]; // Now, place the result into the dictionary property // Note that we must retain it to keep it around dataForCurrentLevel = [[NSDictionary dictionaryWithContentsOfFile:pathToPlist] retain]; // Place the top level keys (the program codes) in an array for the table view // Note that we must retain it to keep it around // NSDictionary has a really useful instance method - allKeys // The allKeys method returns an array with all of the keys found in (this level of) a dictionary tableViewData = [[[dataForCurrentLevel allKeys] sortedArrayUsingSelector:@selector(caseInsensitiveCompare:)] retain]; //Initialize the copy array. copyListOfItems = [[NSMutableArray alloc] init]; // Set the nav bar title self.title = @"GGZ info"; //Add the search bar self.tableView.tableHeaderView = searchBar; searchBar.autocorrectionType = UITextAutocorrectionTypeNo; searching = NO; letUserSelectRow = YES; } /* - (void)viewWillAppear:(BOOL)animated { [super viewWillAppear:animated]; } */ /* - (void)viewDidAppear:(BOOL)animated { [super viewDidAppear:animated]; } */ /* - (void)viewWillDisappear:(BOOL)animated { [super viewWillDisappear:animated]; } */ /* - (void)viewDidDisappear:(BOOL)animated { [super viewDidDisappear:animated]; } */ //RootViewController.m - (void) searchBarTextDidBeginEditing:(UISearchBar *)theSearchBar { searching = YES; letUserSelectRow = NO; self.tableView.scrollEnabled = NO; //Add the done button. self.navigationItem.rightBarButtonItem = [[[UIBarButtonItem alloc] initWithBarButtonSystemItem:UIBarButtonSystemItemDone target:self action:@selector(doneSearching_Clicked:)] autorelease]; } - (NSIndexPath *)tableView :(UITableView *)theTableView willSelectRowAtIndexPath:(NSIndexPath *)indexPath { if(letUserSelectRow) return indexPath; else return nil; } //RootViewController.m - (void)searchBar:(UISearchBar *)theSearchBar textDidChange:(NSString *)searchText { //Remove all objects first. [copyListOfItems removeAllObjects]; if([searchText length] &gt; 0) { searching = YES; letUserSelectRow = YES; self.tableView.scrollEnabled = YES; [self searchTableView]; } else { searching = NO; letUserSelectRow = NO; self.tableView.scrollEnabled = NO; } [self.tableView reloadData]; } //RootViewController.m - (void) searchBarSearchButtonClicked:(UISearchBar *)theSearchBar { [self searchTableView]; } - (void) searchTableView { NSString *searchText = searchBar.text; NSMutableArray *searchArray = [[NSMutableArray alloc] init]; for (NSDictionary *dictionary in listOfItems) { NSArray *array = [dictionary objectForKey:@"Countries"]; [searchArray addObjectsFromArray:array]; } for (NSString *sTemp in searchArray) { NSRange titleResultsRange = [sTemp rangeOfString:searchText options:NSCaseInsensitiveSearch]; if (titleResultsRange.length &gt; 0) [copyListOfItems addObject:sTemp]; } [searchArray release]; searchArray = nil; } //RootViewController.m - (void) doneSearching_Clicked:(id)sender { searchBar.text = @""; [searchBar resignFirstResponder]; letUserSelectRow = YES; searching = NO; self.navigationItem.rightBarButtonItem = nil; self.tableView.scrollEnabled = YES; [self.tableView reloadData]; } //RootViewController.m - (NSInteger)numberOfSectionsInTableView:(UITableView *)tableView { if (searching) return 1; else return [listOfItems count]; } // Customize the number of rows in the table view. - (NSInteger)tableView:(UITableView *)tableView numberOfRowsInSection:(NSInteger)section { if (searching) return [copyListOfItems count]; else { //Number of rows it should expect should be based on the section NSDictionary *dictionary = [listOfItems objectAtIndex:section]; NSArray *array = [dictionary objectForKey:@"Countries"]; return [array count]; } } - (NSString *)tableView:(UITableView *)tableView titleForHeaderInSection:(NSInteger)section { if(searching) return @""; if(section == 0) return @"Countries to visit"; else return @"Countries visited"; } // Customize the appearance of table view cells. - (UITableViewCell *)tableView:(UITableView *)tableView cellForRowAtIndexPath:(NSIndexPath *)indexPath { static NSString *CellIdentifier = @"Cell"; UITableViewCell *cell = [tableView dequeueReusableCellWithIdentifier:CellIdentifier]; if (cell == nil) { cell = [[[UITableViewCell alloc] initWithFrame:CGRectZero reuseIdentifier:CellIdentifier] autorelease]; } // Set up the cell... if(searching) cell.text = [copyListOfItems objectAtIndex:indexPath.row]; else { //First get the dictionary object NSDictionary *dictionary = [listOfItems objectAtIndex:indexPath.section]; NSArray *array = [dictionary objectForKey:@"Countries"]; NSString *cellValue = [array objectAtIndex:indexPath.row]; cell.text = cellValue; } return cell; } - (void)tableView:(UITableView *)tableView didSelectRowAtIndexPath:(NSIndexPath *)indexPath { //Get the selected country NSString *selectedCountry = nil; if(searching) selectedCountry = [copyListOfItems objectAtIndex:indexPath.row]; else { NSDictionary *dictionary = [listOfItems objectAtIndex:indexPath.section]; NSArray *array = [dictionary objectForKey:@"Countries"]; selectedCountry = [array objectAtIndex:indexPath.row]; } //Initialize the detail view controller and display it. DetailViewController *dvController = [[DetailViewController alloc] initWithNibName:@"DetailView" bundle:[NSBundle mainBundle]]; dvController.selectedCountry = selectedCountry; [self.navigationController pushViewController:dvController animated:YES]; [dvController release]; dvController = nil; } //RootViewController.m - (void) searchBarTextDidBeginEditing:(UISearchBar *)theSearchBar { //Add the overlay view. if(ovController == nil) ovController = [[OverlayViewController alloc] initWithNibName:@"OverlayView" bundle:[NSBundle mainBundle]]; CGFloat yaxis = self.navigationController.navigationBar.frame.size.height; CGFloat width = self.view.frame.size.width; CGFloat height = self.view.frame.size.height; //Parameters x = origion on x-axis, y = origon on y-axis. CGRect frame = CGRectMake(0, yaxis, width, height); ovController.view.frame = frame; ovController.view.backgroundColor = [UIColor grayColor]; ovController.view.alpha = 0.5; ovController.rvController = self; [self.tableView insertSubview:ovController.view aboveSubview:self.parentViewController.view]; searching = YES; letUserSelectRow = NO; self.tableView.scrollEnabled = NO; //Add the done button. self.navigationItem.rightBarButtonItem = [[[UIBarButtonItem alloc] initWithBarButtonSystemItem:UIBarButtonSystemItemDone target:self action:@selector(doneSearching_Clicked:)] autorelease]; } // Override to allow orientations other than the default portrait orientation. - (BOOL)shouldAutorotateToInterfaceOrientation:(UIInterfaceOrientation)interfaceOrientation { // Return YES for supported orientations. return YES; } - (void)didReceiveMemoryWarning { // Releases the view if it doesn't have a superview. [super didReceiveMemoryWarning]; // Relinquish ownership any cached data, images, etc that aren't in use. } - (void)viewDidUnload { // Relinquish ownership of anything that can be recreated in viewDidLoad or on demand. // For example: self.myOutlet = nil; } - (void)dealloc { [dataForCurrentLevel release]; [tableViewData release]; [super dealloc]; } #pragma mark - #pragma mark Table view methods // DATA SOURCE METHOD - (NSInteger)numberOfSectionsInTableView:(UITableView *)tableView { return 1; } // DATA SOURCE METHOD - (NSInteger)tableView:(UITableView *)tableView numberOfRowsInSection:(NSInteger)section { // How many rows should be displayed? return [tableViewData count]; } // DELEGATE METHOD - (UITableViewCell *)tableView:(UITableView *)tableView cellForRowAtIndexPath:(NSIndexPath *)indexPath { // Cell reuse block static NSString *CellIdentifier = @"Cell"; UITableViewCell *cell = [tableView dequeueReusableCellWithIdentifier:CellIdentifier]; if (cell == nil) { cell = [[[UITableViewCell alloc] initWithStyle:UITableViewCellStyleDefault reuseIdentifier:CellIdentifier] autorelease]; } // Configure the cell's contents - we want the program code, and a disclosure indicator cell.textLabel.text = [tableViewData objectAtIndex:indexPath.row]; cell.accessoryType = UITableViewCellAccessoryDisclosureIndicator; return cell; } //RootViewController.m - (void)searchBar:(UISearchBar *)theSearchBar textDidChange:(NSString *)searchText { //Remove all objects first. [copyListOfItems removeAllObjects]; if([searchText length] &gt; 0) { [ovController.view removeFromSuperview]; searching = YES; letUserSelectRow = YES; self.tableView.scrollEnabled = YES; [self searchTableView]; } else { [self.tableView insertSubview:ovController.view aboveSubview:self.parentViewController.view]; searching = NO; letUserSelectRow = NO; self.tableView.scrollEnabled = NO; } [self.tableView reloadData]; } //RootViewController.m - (void) doneSearching_Clicked:(id)sender { searchBar.text = @""; [searchBar resignFirstResponder]; letUserSelectRow = YES; searching = NO; self.navigationItem.rightBarButtonItem = nil; self.tableView.scrollEnabled = YES; [ovController.view removeFromSuperview]; [ovController release]; ovController = nil; [self.tableView reloadData]; } // DELEGATE METHOD - (void)tableView:(UITableView *)tableView didSelectRowAtIndexPath:(NSIndexPath *)indexPath { // In any navigation-based application, you follow the same pattern: // 1. Create an instance of the next-level view controller // 2. Configure that instance, with settings and data if necessary // 3. Push it on to the navigation stack // In this situation, the next level view controller is another table view // Therefore, we really don't need a nib file (do you see a CourseCodes.xib? no, there isn't one) // So, a UITableViewController offers an initializer that programmatically creates a view // 1. Create the next level view controller // ======================================== CourseCodes *nextVC = [[CourseCodes alloc] initWithStyle:UITableViewStylePlain]; // 2. Configure it... // ================== // It needs data from the dictionary - the "value" for the current "key" (that was tapped) NSDictionary *nextLevelDictionary = [dataForCurrentLevel objectForKey:[tableViewData objectAtIndex:indexPath.row]]; nextVC.dataForCurrentLevel = nextLevelDictionary; // Set the view title nextVC.title = [tableViewData objectAtIndex:indexPath.row]; // 3. Push it on to the navigation stack // ===================================== [self.navigationController pushViewController:nextVC animated:YES]; // Memory manage it [nextVC release]; } /* // Override to support conditional editing of the table view. - (BOOL)tableView:(UITableView *)tableView canEditRowAtIndexPath:(NSIndexPath *)indexPath { // Return NO if you do not want the specified item to be editable. return YES; } */ /* // Override to support editing the table view. - (void)tableView:(UITableView *)tableView commitEditingStyle:(UITableViewCellEditingStyle)editingStyle forRowAtIndexPath:(NSIndexPath *)indexPath { if (editingStyle == UITableViewCellEditingStyleDelete) { // Delete the row from the data source. [tableView deleteRowsAtIndexPaths:[NSArray arrayWithObject:indexPath] withRowAnimation:UITableViewRowAnimationFade]; } else if (editingStyle == UITableViewCellEditingStyleInsert) { // Create a new instance of the appropriate class, insert it into the array, and add a new row to the table view. } } */ /* // Override to support rearranging the table view. - (void)tableView:(UITableView *)tableView moveRowAtIndexPath:(NSIndexPath *)fromIndexPath toIndexPath:(NSIndexPath *)toIndexPath { } */ /* // Override to support conditional rearranging of the table view. - (BOOL)tableView:(UITableView *)tableView canMoveRowAtIndexPath:(NSIndexPath *)indexPath { // Return NO if you do not want the item to be re-orderable. return YES; } */ @end

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  • How to implement dynamic binary search for search and insert operations of n element (C or C++)

    - by iecut
    The idea is to use multiple arrays, each of length 2^k, to store n elements, according to binary representation of n.Each array is sorted and different arrays are not ordered in any way. In the above mentioned data structure, SEARCH is carried out by a sequence of binary search on each array. INSERT is carried out by a sequence of merge of arrays of the same length until an empty array is reached. More Detail: Lets suppose we have a vertical array of length 2^k and to each node of that array there attached horizontal array of length 2^k. That is, to the first node of vertical array, a horizontal array of length 2^0=1 is connected,to the second node of vertical array, a horizontal array of length 2^1= 2 is connected and so on. So the insert is first carried out in the first horizontal array, for the second insert the first array becomes empty and second horizontal array is full with 2 elements, for the third insert 1st and 2nd array horiz. array are filled and so on. I implemented the normal binary search for search and insert as follows: int main() { int a[20]= {0}; int n, i, j, temp; int *beg, *end, *mid, target; printf(" enter the total integers you want to enter (make it less then 20):\n"); scanf("%d", &n); if (n = 20) return 0; printf(" enter the integer array elements:\n" ); for(i = 0; i < n; i++) { scanf("%d", &a[i]); } // sort the loaded array, binary search! for(i = 0; i < n-1; i++) { for(j = 0; j < n-i-1; j++) { if (a[j+1] < a[j]) { temp = a[j]; a[j] = a[j+1]; a[j+1] = temp; } } } printf(" the sorted numbers are:"); for(i = 0; i < n; i++) { printf("%d ", a[i]); } // point to beginning and end of the array beg = &a[0]; end = &a[n]; // use n = one element past the loaded array! // mid should point somewhere in the middle of these addresses mid = beg += n/2; printf("\n enter the number to be searched:"); scanf("%d",&target); // binary search, there is an AND in the middle of while()!!! while((beg <= end) && (*mid != target)) { // is the target in lower or upper half? if (target < *mid) { end = mid - 1; // new end n = n/2; mid = beg += n/2; // new middle } else { beg = mid + 1; // new beginning n = n/2; mid = beg += n/2; // new middle } } // find the target? if (*mid == target) { printf("\n %d found!", target); } else { printf("\n %d not found!", target); } getchar(); // trap enter getchar(); // wait return 0; } Could anyone please suggest how to modify this program or a new program to implement dynamic binary search that works as explained above!!

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  • Help with refactoring PHP code

    - by Richard Knop
    I had some troubles implementing Lawler's algorithm but thanks to SO and a bounty of 200 reputation I finally managed to write a working implementation: http://stackoverflow.com/questions/2466928/lawlers-algorithm-implementation-assistance I feel like I'm using too many variables and loops there though so I am trying to refactor the code. It should be simpler and shorter yet remain readable. Does it make sense to make a class for this? Any advice or even help with refactoring this piece of code is welcomed: <?php /* * @name Lawler's algorithm PHP implementation * @desc This algorithm calculates an optimal schedule of jobs to be * processed on a single machine (in reversed order) while taking * into consideration any precedence constraints. * @author Richard Knop * */ $jobs = array(1 => array('processingTime' => 2, 'dueDate' => 3), 2 => array('processingTime' => 3, 'dueDate' => 15), 3 => array('processingTime' => 4, 'dueDate' => 9), 4 => array('processingTime' => 3, 'dueDate' => 16), 5 => array('processingTime' => 5, 'dueDate' => 12), 6 => array('processingTime' => 7, 'dueDate' => 20), 7 => array('processingTime' => 5, 'dueDate' => 27), 8 => array('processingTime' => 6, 'dueDate' => 40), 9 => array('processingTime' => 3, 'dueDate' => 10)); // precedence constrainst, i.e job 2 must be completed before job 5 etc $successors = array(2=>5, 7=>9); $n = count($jobs); $optimalSchedule = array(); for ($i = $n; $i >= 1; $i--) { // jobs not required to precede any other job $arr = array(); foreach ($jobs as $k => $v) { if (false === array_key_exists($k, $successors)) { $arr[] = $k; } } // calculate total processing time $totalProcessingTime = 0; foreach ($jobs as $k => $v) { if (true === array_key_exists($k, $arr)) { $totalProcessingTime += $v['processingTime']; } } // find the job that will go to the end of the optimal schedule array $min = null; $x = 0; $lastKey = null; foreach($arr as $k) { $x = $totalProcessingTime - $jobs[$k]['dueDate']; if (null === $min || $x < $min) { $min = $x; $lastKey = $k; } } // add the job to the optimal schedule array $optimalSchedule[$lastKey] = $jobs[$lastKey]; // remove job from the jobs array unset($jobs[$lastKey]); // remove precedence constraint from the successors array if needed if (true === in_array($lastKey, $successors)) { foreach ($successors as $k => $v) { if ($lastKey === $v) { unset($successors[$k]); } } } } // reverse the optimal schedule array and preserve keys $optimalSchedule = array_reverse($optimalSchedule, true); // add tardiness to the array $i = 0; foreach ($optimalSchedule as $k => $v) { $optimalSchedule[$k]['tardiness'] = 0; $j = 0; foreach ($optimalSchedule as $k2 => $v2) { if ($j <= $i) { $optimalSchedule[$k]['tardiness'] += $v2['processingTime']; } $j++; } $i++; } echo '<pre>'; print_r($optimalSchedule); echo '</pre>';

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  • Delphi: EInvalidOp in neural network class (TD-lambda)

    - by user89818
    I have the following draft for a neural network class. This neural network should learn with TD-lambda. It is started by calling the getRating() function. But unfortunately, there is an EInvalidOp (invalid floading point operation) error after about 1000 iterations in the following lines: neuronsHidden[j] := neuronsHidden[j]+neuronsInput[t][i]*weightsInput[i][j]; // input -> hidden weightsHidden[j][k] := weightsHidden[j][k]+LEARNING_RATE_HIDDEN*tdError[k]*eligibilityTraceOutput[j][k]; // adjust hidden->output weights according to TD-lambda Why is this error? I can't find the mistake in my code :( Can you help me? Thank you very much in advance! unit uNeuronalesNetz; interface uses Windows, Messages, SysUtils, Variants, Classes, Graphics, Controls, Forms, Dialogs, ExtCtrls, StdCtrls, Grids, Menus, Math; const NEURONS_INPUT = 43; // number of neurons in the input layer NEURONS_HIDDEN = 60; // number of neurons in the hidden layer NEURONS_OUTPUT = 1; // number of neurons in the output layer NEURONS_TOTAL = NEURONS_INPUT+NEURONS_HIDDEN+NEURONS_OUTPUT; // total number of neurons in the network MAX_TIMESTEPS = 42; // maximum number of timesteps possible (after 42 moves: board is full) LEARNING_RATE_INPUT = 0.25; // in ideal case: decrease gradually in course of training LEARNING_RATE_HIDDEN = 0.15; // in ideal case: decrease gradually in course of training GAMMA = 0.9; LAMBDA = 0.7; // decay parameter for eligibility traces type TFeatureVector = Array[1..43] of SmallInt; // definition of the array type TFeatureVector TArtificialNeuralNetwork = class // definition of the class TArtificialNeuralNetwork private // GENERAL SETTINGS START learningMode: Boolean; // does the network learn and change its weights? // GENERAL SETTINGS END // NETWORK CONFIGURATION START neuronsInput: Array[1..MAX_TIMESTEPS] of Array[1..NEURONS_INPUT] of Extended; // array of all input neurons (their values) for every timestep neuronsHidden: Array[1..NEURONS_HIDDEN] of Extended; // array of all hidden neurons (their values) neuronsOutput: Array[1..NEURONS_OUTPUT] of Extended; // array of output neurons (their values) weightsInput: Array[1..NEURONS_INPUT] of Array[1..NEURONS_HIDDEN] of Extended; // array of weights: input->hidden weightsHidden: Array[1..NEURONS_HIDDEN] of Array[1..NEURONS_OUTPUT] of Extended; // array of weights: hidden->output // NETWORK CONFIGURATION END // LEARNING SETTINGS START outputBefore: Array[1..NEURONS_OUTPUT] of Extended; // the network's output value in the last timestep (the one before) eligibilityTraceHidden: Array[1..NEURONS_INPUT] of Array[1..NEURONS_HIDDEN] of Array[1..NEURONS_OUTPUT] of Extended; // array of eligibility traces: hidden layer eligibilityTraceOutput: Array[1..NEURONS_TOTAL] of Array[1..NEURONS_TOTAL] of Extended; // array of eligibility traces: output layer reward: Array[1..MAX_TIMESTEPS] of Array[1..NEURONS_OUTPUT] of Extended; // the reward value for all output neurons in every timestep tdError: Array[1..NEURONS_OUTPUT] of Extended; // the network's error value for every single output neuron t: Byte; // current timestep cyclesTrained: Integer; // number of cycles trained so far (learning rates could be decreased accordingly) last50errors: Array[1..50] of Extended; // LEARNING SETTINGS END public constructor Create; // create the network object and do the initialization procedure UpdateEligibilityTraces; // update the eligibility traces for the hidden and output layer procedure tdLearning; // learning algorithm: adjust the network's weights procedure ForwardPropagation; // propagate the input values through the network to the output layer function getRating(state: TFeatureVector; explorative: Boolean): Extended; // get the rating for a given state (feature vector) function HyperbolicTangent(x: Extended): Extended; // calculate the hyperbolic tangent [-1;1] procedure StartNewCycle; // start a new cycle with everything set to default except for the weights procedure setLearningMode(activated: Boolean=TRUE); // switch the learning mode on/off procedure setInputs(state: TFeatureVector); // transfer the given feature vector to the input layer (set input neurons' values) procedure setReward(currentReward: SmallInt); // set the reward for the current timestep (with learning then or without) procedure nextTimeStep; // increase timestep t function getCyclesTrained(): Integer; // get the number of cycles trained so far procedure Visualize(imgHidden: Pointer); // visualize the neural network's hidden layer end; implementation procedure TArtificialNeuralNetwork.UpdateEligibilityTraces; var i, j, k: Integer; begin // how worthy is a weight to be adjusted? for j := 1 to NEURONS_HIDDEN do begin for k := 1 to NEURONS_OUTPUT do begin eligibilityTraceOutput[j][k] := LAMBDA*eligibilityTraceOutput[j][k]+(neuronsOutput[k]*(1-neuronsOutput[k]))*neuronsHidden[j]; for i := 1 to NEURONS_INPUT do begin eligibilityTraceHidden[i][j][k] := LAMBDA*eligibilityTraceHidden[i][j][k]+(neuronsOutput[k]*(1-neuronsOutput[k]))*weightsHidden[j][k]*neuronsHidden[j]*(1-neuronsHidden[j])*neuronsInput[t][i]; end; end; end; end; procedure TArtificialNeuralNetwork.setReward; VAR i: Integer; begin for i := 1 to NEURONS_OUTPUT do begin // +1 = player A wins // 0 = draw // -1 = player B wins reward[t][i] := currentReward; end; end; procedure TArtificialNeuralNetwork.tdLearning; var i, j, k: Integer; begin if learningMode then begin for k := 1 to NEURONS_OUTPUT do begin if reward[t][k] = 0 then begin tdError[k] := GAMMA*neuronsOutput[k]-outputBefore[k]; // network's error value when reward is 0 end else begin tdError[k] := reward[t][k]-outputBefore[k]; // network's error value in the final state (reward received) end; for j := 1 to NEURONS_HIDDEN do begin weightsHidden[j][k] := weightsHidden[j][k]+LEARNING_RATE_HIDDEN*tdError[k]*eligibilityTraceOutput[j][k]; // adjust hidden->output weights according to TD-lambda for i := 1 to NEURONS_INPUT do begin weightsInput[i][j] := weightsInput[i][j]+LEARNING_RATE_INPUT*tdError[k]*eligibilityTraceHidden[i][j][k]; // adjust input->hidden weights according to TD-lambda end; end; end; end; end; procedure TArtificialNeuralNetwork.ForwardPropagation; var i, j, k: Integer; begin for j := 1 to NEURONS_HIDDEN do begin neuronsHidden[j] := 0; for i := 1 to NEURONS_INPUT do begin neuronsHidden[j] := neuronsHidden[j]+neuronsInput[t][i]*weightsInput[i][j]; // input -> hidden end; neuronsHidden[j] := HyperbolicTangent(neuronsHidden[j]); // activation of hidden neuron j end; for k := 1 to NEURONS_OUTPUT do begin neuronsOutput[k] := 0; for j := 1 to NEURONS_HIDDEN do begin neuronsOutput[k] := neuronsOutput[k]+neuronsHidden[j]*weightsHidden[j][k]; // hidden -> output end; neuronsOutput[k] := HyperbolicTangent(neuronsOutput[k]); // activation of output neuron k end; end; procedure TArtificialNeuralNetwork.setLearningMode; begin learningMode := activated; end; constructor TArtificialNeuralNetwork.Create; var i, j, k: Integer; begin inherited Create; Randomize; // initialize random numbers generator learningMode := TRUE; cyclesTrained := -2; // only set to -2 because it will be increased twice in the beginning StartNewCycle; for j := 1 to NEURONS_HIDDEN do begin for k := 1 to NEURONS_OUTPUT do begin weightsHidden[j][k] := abs(Random-0.5); // initialize weights: 0 <= random < 0.5 end; for i := 1 to NEURONS_INPUT do begin weightsInput[i][j] := abs(Random-0.5); // initialize weights: 0 <= random < 0.5 end; end; for i := 1 to 50 do begin last50errors[i] := 0; end; end; procedure TArtificialNeuralNetwork.nextTimeStep; begin t := t+1; end; procedure TArtificialNeuralNetwork.StartNewCycle; var i, j, k, m: Integer; begin t := 1; // start in timestep 1 cyclesTrained := cyclesTrained+1; // increase the number of cycles trained so far for j := 1 to NEURONS_HIDDEN do begin neuronsHidden[j] := 0; for k := 1 to NEURONS_OUTPUT do begin eligibilityTraceOutput[j][k] := 0; outputBefore[k] := 0; neuronsOutput[k] := 0; for m := 1 to MAX_TIMESTEPS do begin reward[m][k] := 0; end; end; for i := 1 to NEURONS_INPUT do begin for k := 1 to NEURONS_OUTPUT do begin eligibilityTraceHidden[i][j][k] := 0; end; end; end; end; function TArtificialNeuralNetwork.getCyclesTrained; begin result := cyclesTrained; end; procedure TArtificialNeuralNetwork.setInputs; var k: Integer; begin for k := 1 to NEURONS_INPUT do begin neuronsInput[t][k] := state[k]; end; end; function TArtificialNeuralNetwork.getRating; begin setInputs(state); ForwardPropagation; result := neuronsOutput[1]; if not explorative then begin tdLearning; // adjust the weights according to TD-lambda ForwardPropagation; // calculate the network's output again outputBefore[1] := neuronsOutput[1]; // set outputBefore which will then be used in the next timestep UpdateEligibilityTraces; // update the eligibility traces for the next timestep nextTimeStep; // go to the next timestep end; end; function TArtificialNeuralNetwork.HyperbolicTangent; begin if x > 5500 then // prevent overflow result := 1 else result := (Exp(2*x)-1)/(Exp(2*x)+1); end; end.

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