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  • Python regex to parse text file, get the items in list and count the list

    - by Nemo
    I have a text file which contains some data. I m particularly interested in finding the count of the number of items in v_dims v_dims pattern in my text file looks like this : v_dims={ "Sales", "Product Family", "Sales Organization", "Region", "Sales Area", "Sales office", "Sales Division", "Sales Person", "Sales Channel", "Sales Order Type", "Sales Number", "Sales Person", "Sales Quantity", "Sales Amount" } So I m thinking of getting all the elements in v_dims and dumping them out in a Python list. Then compute the len(mylist) to get the count of the items. The challenge is in getting all the elements of v_dims from my text file and putting them in an empty list. I m particularly interested in items in v_dims in my text file. The text file has data in the form of v_dims pattern i showed in my original post. Some data has nested patterns of v_dims. Thanks. Here's what I have tried and failed. Any help is appreciated. TIA. import re fname = "C:\Users\XXXX\Test.mrk" with open(fname, "r") as fo: content_as_string = fo.read() match = re.findall(r'v_dims={\"(.+?)\"}',content_as_string) Though I have a big text file, Here's a snippet of what's the structure of my text file version "1"; // Computer generated object language file object 'MRKR' "Main" { Data_Type=2, HeaderBlock={ Version_String="6.3 (25)" }, Printer_Info={ Orientation=0, Page_Width=8.50000000, Page_Height=11.00000000, Page_Header="", Page_Footer="", Margin_type=0, Top_Margin=0.50000000, Left_Margin=0.50000000, Bottom_Margin=0.50000000, Right_Margin=0.50000000 }, Marker_Options={ Close_All="TRUE", Hide_Console="FALSE", Console_Left="FALSE", Console_Width=217, Main_Style="Maximized", MDI_Rect={ 0, 0, 892, 1063 } }, Dives={ { Dive="A", Windows={ { View_Index=0, Window_Info={ Window_Rect={ 0, -288, 400, 1008 }, Window_Style="Maximized Front", Window_Name="Theater [Previous Qtr Diveplan-Dive A]" }, Dependent_bool="FALSE", Colset={ Dive_Type="Normal", Dimension_Name="Theater", Action_List={ Actions={ { Action_Type="Select", select_type=5 }, { Action_Type="Select", select_type=0, Key_Names={ "Theater" }, Key_Indexes={ { "AMERICAS" } } }, { Action_Type="Focus", Focus_Rows="True" }, { Action_Type="Dimensions", v_dims={ "Theater", "Product Family", "Division", "Region", "Install at Country Name", "Connect Home Type", "Connect In Type", "SymmConnect Enabled", "Connect Home Refusal Reason", "Sales Order Channel Type", "Maintained By Group", "PS Flag", "Avalanche Flag", "Product Item Family" }, Xtab_Bool="False", Xtab_Flip="False" }, { Action_Type="Select", select_type=5 }, { Action_Type="Select", select_type=0, Key_Names={ "Theater", "Product Family", "Division", "Region", "Install at Country Name", "Connect Home Type", "Connect In Type", "SymmConnect Enabled", "Connect Home Refusal Reason", "Sales Order Channel Type", "Maintained By Group", "PS Flag", "Avalanche Flag" }, Key_Indexes={ { "AMERICAS", "ATMOS", "Latin America CS Division", "37000 CS Region", "Mexico", "", "", "", "", "DIRECT", "EMC", "N", "0" } } } } }, Num_Palette_cols=0, Num_Palette_rows=0 }, Format={ Window_Type="Tabular", Tabular={ Num_row_labels=8 } } } } } }, Widget_Set={ Widget_Layout="Vertical", Go_Button=1, Picklist_Width=0, Sort_Subset_Dimensions="TRUE", Order={ } }, Views={ { Data_Type=1, dbname="Previous Qtr Diveplan", diveline_dbname="Current Qtr Diveplan", logical_name="Current Qtr Diveplan", cols={ { name="Total TSS installs", column_type="Calc[Total TSS installs]", output_type="Number", format_string="." }, { name="TSS Valid Connectivity Records", column_type="Calc[TSS Valid Connectivity Records]", output_type="Number", format_string="." }, { name="% TSS Connectivity Record", column_type="Calc[% TSS Connectivity Record]", output_type="Number" }, { name="TSS Not Applicable", column_type="Calc[TSS Not Applicable]", output_type="Number", format_string="." }, { name="TSS Customer Refusals", column_type="Calc[TSS Customer Refusals]", output_type="Number", format_string="." }, { name="% TSS Refusals", column_type="Calc[% TSS Refusals]", output_type="Number" }, { name="TSS Eligible for Physical Connectivity", column_type="Calc[TSS Eligible for Physical Connectivity]", output_type="Number", format_string="." }, { name="TSS Boxes with Physical Connectivty", column_type="Calc[TSS Boxes with Physical Connectivty]", output_type="Number", format_string="." }, { name="% TSS Physical Connectivity", column_type="Calc[% TSS Physical Connectivity]", output_type="Number" } }, dim_cols={ { name="Model", column_type="Dimension[Model]", output_type="None" }, { name="Model", column_type="Dimension[Model]", output_type="None" }, { name="Connect In Type", column_type="Dimension[Connect In Type]", output_type="None" }, { name="Connect Home Type", column_type="Dimension[Connect Home Type]", output_type="None" }, { name="SymmConnect Enabled", column_type="Dimension[SymmConnect Enabled]", output_type="None" }, { name="Theater", column_type="Dimension[Theater]", output_type="None" }, { name="Division", column_type="Dimension[Division]", output_type="None" }, { name="Region", column_type="Dimension[Region]", output_type="None" }, { name="Sales Order Number", column_type="Dimension[Sales Order Number]", output_type="None" }, { name="Product Item Family", column_type="Dimension[Product Item Family]", output_type="None" }, { name="Item Serial Number", column_type="Dimension[Item Serial Number]", output_type="None" }, { name="Sales Order Deal Number", column_type="Dimension[Sales Order Deal Number]", output_type="None" }, { name="Item Install Date", column_type="Dimension[Item Install Date]", output_type="None" }, { name="SYR Last Dial Home Date", column_type="Dimension[SYR Last Dial Home Date]", output_type="None" }, { name="Maintained By Group", column_type="Dimension[Maintained By Group]", output_type="None" }, { name="PS Flag", column_type="Dimension[PS Flag]", output_type="None" }, { name="Connect Home Refusal Reason", column_type="Dimension[Connect Home Refusal Reason]", output_type="None", col_width=177 }, { name="Cust Name", column_type="Dimension[Cust Name]", output_type="None" }, { name="Sales Order Channel Type", column_type="Dimension[Sales Order Channel Type]", output_type="None" }, { name="Sales Order Type", column_type="Dimension[Sales Order Type]", output_type="None" }, { name="Part Model Key", column_type="Dimension[Part Model Key]", output_type="None" }, { name="Ship Date", column_type="Dimension[Ship Date]", output_type="None" }, { name="Model Number", column_type="Dimension[Model Number]", output_type="None" }, { name="Item Description", column_type="Dimension[Item Description]", output_type="None" }, { name="Customer Classification", column_type="Dimension[Customer Classification]", output_type="None" }, { name="CS Customer Name", column_type="Dimension[CS Customer Name]", output_type="None" }, { name="Install At Customer Number", column_type="Dimension[Install At Customer Number]", output_type="None" }, { name="Install at Country Name", column_type="Dimension[Install at Country Name]", output_type="None" }, { name="TLA Serial Number", column_type="Dimension[TLA Serial Number]", output_type="None" }, { name="Product Version", column_type="Dimension[Product Version]", output_type="None" }, { name="Avalanche Flag", column_type="Dimension[Avalanche Flag]", output_type="None" }, { name="Product Family", column_type="Dimension[Product Family]", output_type="None" }, { name="Project Number", column_type="Dimension[Project Number]", output_type="None" }, { name="PROJECT_STATUS", column_type="Dimension[PROJECT_STATUS]", output_type="None" } }, Available_Columns={ "Total TSS installs", "TSS Valid Connectivity Records", "% TSS Connectivity Record", "TSS Not Applicable", "TSS Customer Refusals", "% TSS Refusals", "TSS Eligible for Physical Connectivity", "TSS Boxes with Physical Connectivty", "% TSS Physical Connectivity", "Total Installs", "All Boxes with Valid Connectivty Record", "% All Connectivity Record", "Overall Refusals", "Overall Refusals %", "All Eligible for Physical Connectivty", "Boxes with Physical Connectivity", "% All with Physical Conectivity" }, Remaining_columns={ { name="Total Installs", column_type="Calc[Total Installs]", output_type="Number", format_string="." }, { name="All Boxes with Valid Connectivty Record", column_type="Calc[All Boxes with Valid Connectivty Record]", output_type="Number", format_string="." }, { name="% All Connectivity Record", column_type="Calc[% All Connectivity Record]", output_type="Number" }, { name="Overall Refusals", column_type="Calc[Overall Refusals]", output_type="Number", format_string="." }, { name="Overall Refusals %", column_type="Calc[Overall Refusals %]", output_type="Number" }, { name="All Eligible for Physical Connectivty", column_type="Calc[All Eligible for Physical Connectivty]", output_type="Number" }, { name="Boxes with Physical Connectivity", column_type="Calc[Boxes with Physical Connectivity]", output_type="Number" }, { name="% All with Physical Conectivity", column_type="Calc[% All with Physical Conectivity]", output_type="Number" } }, calcs={ { name="Total TSS installs", definition="Total[Total TSS installs]", ts_flag="Not TS Calc" }, { name="TSS Valid Connectivity Records", definition="Total[PS Boxes w/ valid connectivity record (1=yes)]", ts_flag="Not TS Calc" }, { name="% TSS Connectivity Record", definition="Total[PS Boxes w/ valid connectivity record (1=yes)] /Total[Total TSS installs]", ts_flag="Not TS Calc" }, { name="TSS Not Applicable", definition="Total[Bozes w/ valid connectivity record (1=yes)]-Total[Boxes Eligible (1=yes)]-Total[TSS Refusals]", ts_flag="Not TS Calc" }, { name="TSS Customer Refusals", definition="Total[TSS Refusals]", ts_flag="Not TS Calc" }, { name="% TSS Refusals", definition="Total[TSS Refusals]/Total[PS Boxes w/ valid connectivity record (1=yes)]", ts_flag="Not TS Calc" }, { name="TSS Eligible for Physical Connectivity", definition="Total[TSS Eligible]-Total[Exception]", ts_flag="Not TS Calc" }, { name="TSS Boxes with Physical Connectivty", definition="Total[PS Physical Connectivity] - Total[PS Physical Connectivity, SymmConnect Enabled=\"Capable not enabled\"]", ts_flag="Not TS Calc" }, { name="% TSS Physical Connectivity", definition="Total[Boxes w/ phys conn]/Total[Boxes Eligible (1=yes)]", ts_flag="Not TS Calc" }, { name="Total Installs", definition="Total[Total Installs]", ts_flag="Not TS Calc" }, { name="All Boxes with Valid Connectivty Record", definition="Total[Bozes w/ valid connectivity record (1=yes)]", ts_flag="Not TS Calc" }, { name="% All Connectivity Record", definition="Total[Bozes w/ valid connectivity record (1=yes)]/Total[Total Installs]", ts_flag="Not TS Calc" }, { name="Overall Refusals", definition="Total[Overall Refusals]", ts_flag="Not TS Calc" }, { name="Overall Refusals %", definition="Total[Overall Refusals]/Total[Bozes w/ valid connectivity record (1=yes)]", ts_flag="Not TS Calc" }, { name="All Eligible for Physical Connectivty", definition="Total[Boxes Eligible (1=yes)]-Total[Exception]", ts_flag="Not TS Calc" }, { name="Boxes with Physical Connectivity", definition="Total[Boxes w/ phys conn]-Total[Boxes w/ phys conn,SymmConnect Enabled=\"Capable not enabled\"]", ts_flag="Not TS Calc" }, { name="% All with Physical Conectivity", definition="Total[Boxes w/ phys conn]/Total[Boxes Eligible (1=yes)]", ts_flag="Not TS Calc" } }, merge_type="consolidate", merge_dbs={ { dbname="connectivityallproducts.mdl", diveline_dbname="/DI_PSREPORTING/connectivityallproducts.mdl" } }, skip_constant_columns="FALSE", categories={ { name="Geography", dimensions={ "Theater", "Division", "Region", "Install at Country Name" } }, { name="Mappings and Flags", dimensions={ "Connect Home Type", "Connect In Type", "SymmConnect Enabled", "Connect Home Refusal Reason", "Sales Order Channel Type", "Maintained By Group", "Customer Installable", "PS Flag", "Top Level Flag", "Avalanche Flag" } }, { name="Product Information", dimensions={ "Product Family", "Product Item Family", "Product Version", "Item Description" } }, { name="Sales Order Info", dimensions={ "Sales Order Deal Number", "Sales Order Number", "Sales Order Type" } }, { name="Dates", dimensions={ "Item Install Date", "Ship Date", "SYR Last Dial Home Date" } }, { name="Details", dimensions={ "Item Serial Number", "TLA Serial Number", "Part Model Key", "Model Number" } }, { name="Customer Infor", dimensions={ "CS Customer Name", "Install At Customer Number", "Customer Classification", "Cust Name" } }, { name="Other Dimensions", dimensions={ "Model" } } }, Maintain_Category_Order="FALSE", popup_info="false" } } };

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  • Oracle Remarketer Level expansion in China

    - by martin.morganti(at)oracle.com
    Remarketer Level continues to expand and develop in Oracle's Asia Pacific region. Following the launch of Remarketer level in Korea and Taiwan earlier in FY11, it is great news to see the number of Remarketer VAD partners in China continue to increase. Recent weeks have seen Beijing Futong Dongfang Technology Co.,Ltd. and Digital China (China) Limited both execute the Remarketer VAD addendum. We are delighted that this takes the total of our Remarketer VADs in China to four. This means that we now have even broader coverage to address the opportunity that Remarketer level presents Oracle and our VAD remarketer partners. So welcome to our two latest additions. To find out who are the Remarketer VAD partners in your country, the latest list is posted at here.

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  • RGB values from image into a one dimension array in c#

    - by velocityxyz
    I was wondering if there is a was a way to read rgb values from an image into a one dimensional array in C#. If it doesnt make sense, in java I would do something like this. int[] pixels; BufferedImage image = getClass().getResourceAsStream("asdfghjkl.png"); int w = image.getWidth(); int h = image.getHeight(); pixels = new int[w * h]; image.getRGB(0, 0, w, h, pixels, 0, w) ; So any help would be great, or if you can point me in the right direction, that'd be great

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  • Changing DisplayMode seems not to update Input&Graphic Dimension

    - by coding.mof
    I'm writing a small game using Slick and Nifty-GUI. At the program startup I set the DisplayMode using the following lines: AppGameContainer app = new ... app.setDisplayMode( 800, 600, false ); app.start(); I wrote a Nifty-ScreenController for my settings dialog in which the user can select the desired DisplayMode. When I try to set the new DisplayMode within this controller class the game window gets resized correctly but the Graphics and Input objects aren't updated accordingly. Therefore my rendering code just uses a part of the new window. I tried to set different DisplayModes in the main method to test if it's generally possible to invoke this method multiple times. It seems that changing the DisplayMode only works before I call app.start(). Furthermore I tried to update the Graphics & Input object manually but the init and setDimensions methods are package private. :( Does someone know what I'm doing wrong and how to change the DisplayMode correctly?

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  • T-SQL (SCD) Slowly Changing Dimension Type 2 using a merge statement

    - by AtulThakor
    Working on stored procedure recently which loads records into a data warehouse I found that the existing record was being expired using an update statement followed by an insert to add the new active record. Playing around with the merge statement you can actually expire the current record and insert a new record within one clean statement. This is how the statement works, we do the normal merge statement to insert a record when there is no match, if we match the record we update the existing record by expiring it and deactivating. At the end of the merge statement we use the output statement to output the staging values for the update,  we wrap the whole merge statement within an insert statement and add new rows for the records which we inserted. I’ve added the full script at the bottom so you can paste it and play around.   1: INSERT INTO ExampleFactUpdate 2: (PolicyID, 3: Status) 4: SELECT -- these columns are returned from the output statement 5: PolicyID, 6: Status 7: FROM 8: ( 9: -- merge statement on unique id in this case Policy_ID 10: MERGE dbo.ExampleFactUpdate dp 11: USING dbo.ExampleStag s 12: ON dp.PolicyID = s.PolicyID 13: WHEN NOT MATCHED THEN -- when we cant match the record we insert a new record record and this is all that happens 14: INSERT (PolicyID,Status) 15: VALUES (s.PolicyID, s.Status) 16: WHEN MATCHED --if it already exists 17: AND ExpiryDate IS NULL -- and the Expiry Date is null 18: THEN 19: UPDATE 20: SET 21: dp.ExpiryDate = getdate(), --we set the expiry on the existing record 22: dp.Active = 0 -- and deactivate the existing record 23: OUTPUT $Action MergeAction, s.PolicyID, s.Status -- the output statement returns a merge action which can 24: ) MergeOutput -- be insert/update/delete, on our example where a record has been updated (or expired in our case 25: WHERE -- we'll filter using a where clause 26: MergeAction = 'Update'; -- here   Complete source for example 1: if OBJECT_ID('ExampleFactUpdate') > 0 2: drop table ExampleFactUpdate 3:  4: Create Table ExampleFactUpdate( 5: ID int identity(1,1), 3: go 6: PolicyID varchar(100), 7: Status varchar(100), 8: EffectiveDate datetime default getdate(), 9: ExpiryDate datetime, 10: Active bit default 1 11: ) 12:  13:  14: insert into ExampleFactUpdate( 15: PolicyID, 16: Status) 17: select 18: 1, 19: 'Live' 20:  21: /*Create Staging Table*/ 22: if OBJECT_ID('ExampleStag') > 0 23: drop table ExampleStag 24: go 25:  26: /*Create example fact table */ 27: Create Table ExampleStag( 28: PolicyID varchar(100), 29: Status varchar(100)) 30:  31: --add some data 32: insert into ExampleStag( 33: PolicyID, 34: Status) 35: select 36: 1, 37: 'Lapsed' 38: union all 39: select 40: 2, 41: 'Quote' 42:  43: select * 44: from ExampleFactUpdate 45:  46: select * 47: from ExampleStag 48:  49:  50: INSERT INTO ExampleFactUpdate 51: (PolicyID, 52: Status) 53: SELECT -- these columns are returned from the output statement 54: PolicyID, 55: Status 56: FROM 57: ( 58: -- merge statement on unique id in this case Policy_ID 59: MERGE dbo.ExampleFactUpdate dp 60: USING dbo.ExampleStag s 61: ON dp.PolicyID = s.PolicyID 62: WHEN NOT MATCHED THEN -- when we cant match the record we insert a new record record and this is all that happens 63: INSERT (PolicyID,Status) 64: VALUES (s.PolicyID, s.Status) 65: WHEN MATCHED --if it already exists 66: AND ExpiryDate IS NULL -- and the Expiry Date is null 67: THEN 68: UPDATE 69: SET 70: dp.ExpiryDate = getdate(), --we set the expiry on the existing record 71: dp.Active = 0 -- and deactivate the existing record 72: OUTPUT $Action MergeAction, s.PolicyID, s.Status -- the output statement returns a merge action which can 73: ) MergeOutput -- be insert/update/delete, on our example where a record has been updated (or expired in our case 74: WHERE -- we'll filter using a where clause 75: MergeAction = 'Update'; -- here 76:  77:  78: select * 79: from ExampleFactUpdate 80: 

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  • How does the "Fourth Dimension" work with arrays?

    - by Questionmark
    Abstract: So, as I understand it (although I have a very limited understanding), there are three dimensions that we (usually) work with physically: The 1st would be represented by a line. The 2nd would be represented by a square. The 3rd would be represented by a cube. Simple enough until we get to the 4th -- It is kinda hard to draw in a 3D space, if you know what I mean... Some people say that it has something to do with time. The Question: Now, that is all great with me. My question isn't about this, or I'd be asking it on MathSO or PhysicsSO. My question is: How does the computer handle this with arrays? I know that you can create 4D, 5D, 6D, etc... arrays in many different programming languages, but I want to know how that works.

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  • Installing 12.04 on a Dell Dimension 2200

    - by Corn
    I'm attempting to install Ubuntu from a 12.04 live CD. A few boots have gotten me (initframs) in BusyBox. During one attempt, it actually said it had loaded Ubuntu and gave me a command prompt, before quickly taking it away. After the working attempt, the HDD was removed from the BIOS menu for some reason, but was auto-detected on a boot into Windows. I haven't got a clue what I'm doing wrong. I don't get the little Ubuntu graphical splash while it boots either, but F6 (or rather spamming many keys) will display a list of the various [starting]/[stopping] it's doing.

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  • C++ MTL Library dimension.h bug?

    - by avanwieringen
    I've installed MTL on my Fedora Core 12 x64 system, but when building an application I get the following error: In file included from /usr/local/include/mtl/matrix.h:41, from /usr/local/include/mtl/mtl.h:40, from ltiSystem.hxx:4, from strTools.hxx:4, from ff.cxx:3: /usr/local/include/mtl/envelope2D.h:72: error: declaration of ‘typedef struct mtl::twod_tag mtl::envelope2D<T>::dimension’ /usr/local/include/mtl/dimension.h:19: error: changes meaning of ‘dimension’ from ‘class mtl::dimension<typename mtl::dense1D<T, 0>::size_type, 0, 0>’ make[1]: *** [ff.o] Error 1 Which would imply an error in MTL. I have changed to different MTL versions and the problem persists, but on Google there is no proper answer. I use the g++ compiler. Does anyone have a clye?

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  • Highest populated dimension of an array vba

    - by Ommit
    Say i have an single dimension array (to keep it simple). Is there a simple way to tell how many entries are populated, or the highest dimension of populated entries, other than to loop through and count them? I know Ubound finds the highest dimension of the array but that's not what I need. Is there something like Ubound but it only find populated entries, or the highest dimension populated? Also, what if the array is multidimensional. I'm working in excel vba.

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  • Upgrade the Graphics Card for a Dell Dimension 3100

    - by Pat Foran
    Hi, I have a Dell Dimension 3100 Desktop with a 128MB Graphics Card Integrated into the Mother Board. I need to upgrade this 128MB to at least 256MB or 512MB if the system will support same. I am told by Dell that all I have is a PCIx1 slot and that they do not stock a Graphics Card for this. I was told to shop around at Amazon and ebay etc and I would find one there. I have shopped around for some time now and do not know exactly what I am looking for. There are several PCI Graphics Card out there but which one would be the correct one for a Dell Dimension 3100. Can you help me resolve this problem. If you know of a PCIx1 card that will sort out my problem you might please let me have all the details for to purchase it. Regards, Pat,

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  • Star schema [fact 1:n dimension]...how?

    - by Mike Gates
    I am a newcomer to data warehouses and have what I hope is an easy question about building a star schema: If I have a fact table where a fact record naturally has a one-to-many relationship with a single dimension, how can a star schema be modeled to support this? For example: Fact Table: Point of Sale entry (the measurement is DollarAmount) Dimension Table: Promotions (these are sales promotions in effect when a sale was made) The situation is that I want a single Point Of Sale entry to be associated with multiple different Promotions. These Promotions cannot be their own dimensions as there are many many many promotions. How do I do this?

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  • Dell Dimension 2350 with a Pentium IV processor and integrated video and network chips running Fedor

    - by Jim Dobbs
    Dell Dimension 2350 with a Pentium IV processor and integrated video and network chips running Fedora12 does a "Sleeping Beauty" and I, apparently, am not am not a "handsome prince"! The system puts video and network to sleep and it will not wakeup. I have heard of this problem on laptops, but this is a tower. Any ideas or help is appreciated. I tried to ping the network card from another system and ping fails. The logs indicate that the system continues to be active. Pressing keyboard short-cut keys makes the disk light blink but neither the video or network card comes alive. Failing all else, are there any Linux commands that I could schedule in cron to pulse video and network adapters hourly that will keep them awake? Or, should I wait on Fedora13? Before this machine, I built a Dimension 2400 with Pentium IV and it had the same problem. Fedora9 on the same hardware is fine.

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  • Scaling an image in a scroller resizes the scroller when relative dimension are set to the scroller

    - by tit
    Hi, I would like to position relatively a scroller in my application like below. When I scale the image, I resize the scroller... <s:Scroller width="50%" height="50%" > <s:Group> <mx:Image id="img" source="media/paxRomana005_150dpi.jpg" /> </s:Group> </s:Scroller> If I set absolute dimension to the scroller like below, it does not resize (behaviour I want) <s:Scroller width="400" height="400" > <s:Group> <mx:Image id="img" source="media/paxRomana005_150dpi.jpg" /> </s:Group> </s:Scroller> .. but my intention is to position the scroller relatively to other components. Any explanations/solutions? Thanks

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  • Controlling shell command line wildcard expansion in C or C++

    - by Adrian McCarthy
    I'm writing a program, foo, in C++. It's typically invoked on the command line like this: foo *.txt My main() receives the arguments in the normal way. On many systems, argv[1] is literally *.txt, and I have to call system routines to do the wildcard expansion. On Unix systems, however, the shell expands the wildcard before invoking my program, and all of the matching filenames will be in argv. Suppose I wanted to add a switch to foo that causes it to recurse into subdirectories. foo -a *.txt would process all text files in the current directory and all of its subdirectories. I don't see how this is done, since, by the time my program gets a chance to see the -a, then shell has already done the expansion and the user's *.txt input is lost. Yet there are common Unix programs that work this way. How do they do it? In Unix land, how can I control the wildcard expansion? (Recursing through subdirectories is just one example. Ideally, I'm trying to understand the general solution to controlling the wildcard expansion.)

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  • Dimension Reduction in Categorical Data with missing values

    - by user227290
    I have a regression model in which the dependent variable is continuous but ninety percent of the independent variables are categorical(both ordered and unordered) and around thirty percent of the records have missing values(to make matters worse they are missing randomly without any pattern, that is, more that forty five percent of the data hava at least one missing value). There is no a priori theory to choose the specification of the model so one of the key tasks is dimension reduction before running the regression. While I am aware of several methods for dimension reduction for continuous variables I am not aware of a similar statical literature for categorical data (except, perhaps, as a part of correspondence analysis which is basically a variation of principal component analysis on frequency table). Let me also add that the dataset is of moderate size 500000 observations with 200 variables. I have two questions. Is there a good statistical reference out there for dimension reduction for categorical data along with robust imputation (I think the first issue is imputation and then dimension reduction)? This is linked to implementation of above problem. I have used R extensively earlier and tend to use transcan and impute function heavily for continuous variables and use a variation of tree method to impute categorical values. I have a working knowledge of Python so if something is nice out there for this purpose then I will use it. Any implementation pointers in python or R will be of great help. Thank you.

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  • Automatic acronym and jargon expansion tool

    - by Ivo Bosticky
    Are there any tools that would help with comprehension of technical documents that contain a mix of domain specific and company specific acronyms and jargon? A tool that is functionally similar to the automatic acronym expansion done by Wikileaks in their Afgan War Diary (as seen at http://213.251.145.96/id/310B4FC4-2F89-4653-A546-1AD5D55BD9F7/) but ideally supports PDF or Microsoft Word documents. The list of acronyms and jargon and their expanded text could be provided in a separate file.

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  • Time and date dimension in data warehouse

    - by peperg
    I'm buildind an data warehouse. Each fact has it's timestamp. I need to create reports by day, month, quater but by hours too. Loking at the examples I see that dates tend to be saved in dimension tabels. But I think, that it makes no sense for time. The dimension table would grow and grow. On the other hand JOIN with date dimension table is more efficent than using date/time functions in SQL. What are your opinions/solutions ? (I'm using Infobright)

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  • Surrogate key for date dimension?

    - by Navin
    There are 2 school of thoughts : Use surrogate key preferbly in the format of YYYYMMDD as this will always be sequential. Eliminate Date dimension surrogate key and use actual date instead. My Questions to experts on dimension modeling are : 1> Which design would you prefer and why ? 2> How should we handle unknown values in each of the cases, Can we simply place NULL in Fact table for unknown dates as Foreign Key can be NULL (if no why)? 3> If we need to partition fact table on date column ,how would we achieve that in case 1. I am inclined towards using actual date and using NULL to represent UNKNOWN dates in fact table , as date related validation on fact can be done without need to look in to dimension table.

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  • C++ boost ublas + units dimension constraints

    - by aaa
    hello. I am seeking advice on design/general idea on how to force matrix dimension constraints on ublas matrix/vector possibly using boost units. For example, let matrix A have dimensions of time x force (for example) // does not have dimensions, time x force and force x time are not distinguished. matrix<double> A; //something like? dimension<time, force, matrix<double> > A; dimension<force, time, matrix<double> > B = trans(A); have you done something like this or do you have some good idea about how to organize such constraints? Thank you

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  • Primefaces TreeView node expansion

    - by Boiler Bill
    Being new to primefaces, I have been researching a way to have TreeView in dynamic mode update a separate tab pane given the id on Node expansion. This works great for node selection with the "update" attribute. Can it work the same way on Node Expansion was well? Here is my code that works when a node is selected: <p:tree id="tree" dynamic="true" var="node" cache="true" update="details" value="#{treeBean.root}" rendered="#{treeBean.root != null}" styleClass="inventoryTree" nodeExpandListener="#{treeBean.onNodeExpand}" nodeSelectListener="#{treeBean.onNodeSelect}">

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  • Volume size doesn't match Disk size after gparted expansion

    - by Cybersylum
    I just expanded a basic disk on a Windows XP VM from 15gb to 40 gb using GPARTED LiveCD (0.5.2-11). I didn't notice anything unusual during the expansion; but after I rebooted back into Windows, the disk capacity doesn't match the disk size as it should (only 1 volume on the disk). The disk shows as 40gb; but the C: volume still shows the original size. I've tried expanding the disk again with GPARTED (no change), and using VMware converter and have it adjust the size of the volume during the process (complains about a lack of space of snapshot error inside the os). The volume has 27% free space so I don't think it is a space issue. Chkdsk doesn't seem to find anything wrong either. The OS seems to run just fine, it doesn't see the additional space however. Any ideas?

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