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  • Managing timezone in php with ics date/time format

    - by John
    Ok, I'm using an ICS parser utility to parse google calendar ICS files. It works great, except google is feeding me the times of the events at UCT.. so I need to subtract 5 hours now, and 6 hours when daylight savings happens. To get the start time I'm using: $timestart = date("g:iA",strtotime(substr($event['DTSTART'], 9, -3))); //$event['DTSTART'] feeds me back the date in ICS format: 20100406T200000Z So any suggestions how to handle timezone and daylight savings time? Thanks in advance

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  • IE6 and fieldset background color?

    - by codemonkey613
    Hey, I'm having some difficulty with CSS and IE6 compatibility. URL: http://bit.ly/dlX7cS Problem #1: I put a background image on the fieldset around Canada and United States. In IE6 and IE7, the background bleeds above the border-top of the fieldset. So, I found a fix. It is applied only to IE browsers, and moves the legend up a few pixels, aligning the background correctly. <!-- Fix: IE6/IE7, Legends --> <!--[if lte IE 7]> <style type="text/css"> fieldset { position: relative; } fieldset legend { position: absolute; top: -0.5em; left: 0; } </style> <![endif]--> This fixes IE7. But in IE6, it seems to make my legend for Canada vanish completely. Does anyone have a copy of IE6 they can open my site and tell me if you see Canada label. (I am testing with a multi-IE program, and it keeps crashing. My copy might not be accurate). If it's not there, any suggestions on how to fix it? Also, any suggestion on where I can download working copy of IE6? Problem #2: I have a Google Map embedded using iframe. The width of that iframe is 515px. In Firefox, Chrome, IE7 -- that is the correct alignment. But in IE6, it gets <br/> underneath the Just Energy paragraph beside it. It doesn't fit. I have to change width to 513px for it to fit. Uhm, anyone know where those 2px of difference happen? I removed border, padding, margin from the iframe, but still something is happening. <!-- Google Maps --> <iframe class="gmap" src="http://maps.google.com/maps/ms?hl=en&amp;ie=UTF8&amp;msa=0&amp;msid=100146512697135839835.000481e2a2779e8865863&amp;ll=42,-100&amp;spn=20,80&amp;output=embed" frameborder="0" marginheight="0" marginwidth="0" scrolling="no"></iframe> <!-- / Google Maps --> Er, big headache. lol

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  • IECore - installation in maya python

    - by knishua
    I have downloaded IECore from this link http://code.google.com/p/cortex-vfx/ Following page suggests how to run it. http://code.google.com/p/cortex-vfx/wiki/DomeBuilderExample At this point error occurs saying No module named _IECore No module named _IECoreMaya import IECore < --------------- import IECoreMaya import maya.cmds How is it possible to get a positive output when running it. Brgds, kNish , Ashok

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  • GWT Dynamic loading using GWT.create() with String literals instead of Class literals

    - by Sathish
    GWT.create() is the reflection equivalent in GWT, But it take only class literals, not fully qualified String for the Class name. How do i dynamically create classes with Strings using GWT.create()? Its not possible according to many GWT forum posts but how is it being done in frameworks like Rocket-GWT (http://code.google.com/p/rocket-gwt/wiki/Ioc) and Gwittir (http://code.google.com/p/gwittir/wiki/Introspection)

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  • Which OAuth library do you find works best for Objective-C/iPhone?

    - by Brennan
    I have been looking to switch to OAuth for my Twitter integration code and now that there is a deadline in less than 7 weeks (see countdown link) it is even more important to make the jump to OAuth. I have been doing Basic Authentication which is extremely easy. Unfortunately OAuth does not appear to be something that I would whip together in a couple of hours. http://www.countdowntooauth.com/ So I am looking to use a library. I have put together the following list. MPOAuth MGTwitterEngine OAuthConsumer I see that MPOAuth has some great features with a good deal of testing code in place but there is one big problem. It does not work. The sample iPhone project that is supposed to authenticate with Twitter causes an error which others have identified and logged as a bug. http://code.google.com/p/mpoauthconnection/issues/detail?id=29 The last code change was March 11 and this bug was filed on March 30. It has been over a month and this critical bug has not been fixed yet. So I have moved on to MGTwitterEngine. I pulled down the source code and loaded it up in Xcode. Immediately I find that there are a few dependencies and the README file does not have a clear list of steps to fetch those dependencies and integrate them with the project so that it builds successfully. I see this as a sign that the project is not mature enough for prime time. I see also that the project references 2 libraries for JSON when one should be enough. One is TouchJSON which has worked well for me so I am again discouraged from relying on this project for my applications. I did find that MGTwitterEngine makes use of OAuthConsumer which is one of many OAuth projects hosted by an OAuth project on Google Code. http://code.google.com/p/oauth/ http://code.google.com/p/oauthconsumer/wiki/UsingOAuthConsumer It looks like OAuthConsumer is a good choice at first glance. It is hosted with other OAuth libraries and has some nice documentation with it. I pulled down the code and it builds without errors but it does have many warnings. And when I run the new Build and Analyze feature in Xcode 3.2 I see 50 analyzer results. Many are marked as potential memory leaks which would likely lead to instability in any app which uses this library. It seems there is no clear winner and I have to go with something before the big Twitter OAuth deadline. Any suggestions?

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  • Example usage of AX in PHP OpenID

    - by Supercharged
    I'm using JanRain's PHP OpenID library. It comes with example script which is using SReg extension. But I want it to work with Google (and it works for auth actually), but Google uses AX (attribute exchange) instead of SReg for additional data. For some reason, JanRain's library is missing AX support in example script, and code comments in AX script are out of my understanding, though comments in SReg script are clear as 1-2-3. Does anyone know how to implement AX without too much pain?

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  • current_user and Comments on Posts - Create another association or loop posts? - Ruby on Rails

    - by bgadoci
    I have created a blog application using Ruby on Rails and have just added an authentication piece and it is working nicely. I am now trying to go back through my application to adjust the code such that it only shows information that is associated with a certain user. Currently, Users has_many :posts and Posts has_many :comments. When a post is created I am successfully inserting the user_id into the post table. Additionally I am successfully only displaying the posts that belong to a certain user upon their login in the /views/posts/index.html.erb view. My problem is with the comments. For instance on the home page, when logged in, a user will see only posts that they have written, but comments from all users on all posts. Which is not what I want and need some direction in correcting. I want only to display the comments written on all of the logged in users posts. Do I need to create associations such that comments also belong to user? Or is there a way to adjust my code to simply loop through post to display this data. I have put the code for the PostsController, CommentsController, and /posts/index.html.erb below and also my view code but will post more if needed. class PostsController < ApplicationController before_filter :authenticate auto_complete_for :tag, :tag_name auto_complete_for :ugtag, :ugctag_name def index @tag_counts = Tag.count(:group => :tag_name, :order => 'count_all DESC', :limit => 20) conditions, joins = {}, :votes @ugtag_counts = Ugtag.count(:group => :ugctag_name, :order => 'count_all DESC', :limit => 20) conditions, joins = {}, :votes @vote_counts = Vote.count(:group => :post_title, :order => 'count_all DESC', :limit => 20) conditions, joins = {}, :votes unless(params[:tag_name] || "").empty? conditions = ["tags.tag_name = ? ", params[:tag_name]] joins = [:tags, :votes] end @posts= current_user.posts.paginate( :select => "posts.*, count(*) as vote_total", :joins => joins, :conditions=> conditions, :group => "votes.post_id, posts.id ", :order => "created_at DESC", :page => params[:page], :per_page => 5) @popular_posts=Post.paginate( :select => "posts.*, count(*) as vote_total", :joins => joins, :conditions=> conditions, :group => "votes.post_id, posts.id", :order => "vote_total DESC", :page => params[:page], :per_page => 3) respond_to do |format| format.html # index.html.erb format.xml { render :xml => @posts } format.json { render :json => @posts } format.atom end end def show @post = Post.find(params[:id]) respond_to do |format| format.html # show.html.erb format.xml { render :xml => @post } end end def new @post = Post.new respond_to do |format| format.html # new.html.erb format.xml { render :xml => @post } end end def edit @post = Post.find(params[:id]) end def create @post = current_user.posts.create(params[:post]) respond_to do |format| if @post.save flash[:notice] = 'Post was successfully created.' format.html { redirect_to(@post) } format.xml { render :xml => @post, :status => :created, :location => @post } else format.html { render :action => "new" } format.xml { render :xml => @post.errors, :status => :unprocessable_entity } end end end def update @post = Post.find(params[:id]) respond_to do |format| if @post.update_attributes(params[:post]) flash[:notice] = 'Post was successfully updated.' format.html { redirect_to(@post) } format.xml { head :ok } else format.html { render :action => "edit" } format.xml { render :xml => @post.errors, :status => :unprocessable_entity } end end end def destroy @post = Post.find(params[:id]) @post.destroy respond_to do |format| format.html { redirect_to(posts_url) } format.xml { head :ok } end end end CommentsController class CommentsController < ApplicationController before_filter :authenticate, :except => [:show, :create] def index @comments = Comment.find(:all, :include => :post, :order => "created_at DESC").paginate :page => params[:page], :per_page => 5 respond_to do |format| format.html # index.html.erb format.xml { render :xml => @comments } format.json { render :json => @comments } format.atom end end def show @comment = Comment.find(params[:id]) respond_to do |format| format.html # show.html.erb format.xml { render :xml => @comment } end end # GET /posts/new # GET /posts/new.xml # GET /posts/1/edit def edit @comment = Comment.find(params[:id]) end def update @comment = Comment.find(params[:id]) respond_to do |format| if @comment.update_attributes(params[:comment]) flash[:notice] = 'Comment was successfully updated.' format.html { redirect_to(@comment) } format.xml { head :ok } else format.html { render :action => "edit" } format.xml { render :xml => @comment.errors, :status => :unprocessable_entity } end end end def create @post = Post.find(params[:post_id]) @comment = @post.comments.build(params[:comment]) respond_to do |format| if @comment.save flash[:notice] = "Thanks for adding this comment" format.html { redirect_to @post } format.js else flash[:notice] = "Make sure you include your name and a valid email address" format.html { redirect_to @post } end end end def destroy @comment = Comment.find(params[:id]) @comment.destroy respond_to do |format| format.html { redirect_to Post.find(params[:post_id]) } format.js end end end View Code for Comments <% Comment.find(:all, :order => 'created_at DESC', :limit => 3).each do |comment| -%> <div id="side-bar-comments"> <p> <div class="small"><%=h comment.name %> commented on:</div> <div class="dark-grey"><%= link_to h(comment.post.title), comment.post %><br/></div> <i><%=h truncate(comment.body, :length => 100) %></i><br/> <div class="small"><i> <%= time_ago_in_words(comment.created_at) %> ago</i></div> </p> </div> <% end -%>

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  • What's your take on the programming language Go?

    - by fbrereto
    I've just been told about a new programming language, Go, developed at Google by such notables as Ken Thompson and Rob Pike. Does anyone have any experience with it so far? What are your thoughts about how viable small- and large-scale applications could be developed with it? Relevant links (thanks to Lance Roberts; feel free to update these as necessary): Ars-Technica PC World Google Open Source Blog Tech Talk Video Go Mailing List

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  • PlayFramework with Scala and Morphia

    - by AKRamkumar
    I keep getting this exception: Oops: CannotCompileException An unexpected error occured caused by exception CannotCompileException: [source error] ds() not found in models.dc What is wrong with my code? Here is models.ds package models import com.google.code.morphia.annotations._ @Embedded class ds{ @Indexed var xs : Double=0 @Indexed var xc : Double=0 @Indexed var ys : Double=0 @Indexed var yc : Double=0 @Indexed var zs : Double=0 @Indexed var zc : Double=0 } Here is models.dc package models import com.google.code.morphia.annotations.{Embedded, Entity, Indexed} @Entity class dc{ @Indexed var name : String = null @Embedded var summary : ds = new ds() }

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  • What is the best IDE to develop Android apps in?

    - by Jamey McElveen
    I am about to start developing an android app and need to get an IDE. Eclipse and the android eclipse plugin appears to be the natural choice. However I am familiar with intelliJ and re-sharper so I would prefer use intelliJ. Has anyone used http://code.google.com/p/idea-android/"http://code.google.com/p/idea-android/? Is this any good? Should I just bite the bullet and learn Eclipse?

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  • Map GEO API Services

    - by Lee
    Does anyone know of a good even paid API for mapping to get GEO stuff. I am really frustrated with google map giving poor results even though it beats all others. I have tried so far. Google Yahoo BING Mapquest Multimap Can anyone suggest other good services ? Hope ya CAN !

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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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  • Secure online registration form to capture credit card info

    - by baraider
    We have used Google form, Wufoo form to try to securely capture the info for IN-HOUSE processing. Google form is unreliable and often blocked behind firm's firewall. Wufoo does not allow storing CC info in their database What is service or other alternative for us to securely store the cc info. The purpose is to have people manually process the registration. Once the payment goes through, we notify the customer and remove the CC info from our database.

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  • CFHTTP and IIS 7 Connection Failture (NOT SSL)

    - by Dave Quested
    I'm trying to do a very simple CFHTTP GET call to a local website running on IIS7, however it throws a 408 Connection Failure. I've done all the obvious things: The site is listed in the hosts file locally I've added the CFHTTPPARAM tags for IIS compression issues (deflate;q=0) Surfing to the URL in the browser works fine Doing a CFHTTP to google.com works fine, no local sites work at all. When searching on Google there are others that have had this, but no solutions. Anyone successfully got through this issue?

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  • What does it call in GWT to make 2 UI consistent?

    - by DucDigital
    I saw a video of Google I/O and found an example of GWT UI being very consistent between clients. Which you can save, add, drag and drop in almost real time between clients. I currently don't understand the basic of this (In GWT, i think it implement Comet), so is there anyone can give me a term or definition for this? so I can get it on Google for more information? Thank you very much

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  • Install webapp to homescreen on iPhone?

    - by Stefan Kendall
    How do I go about allowing my webapp to be installed as an icon on a user's homescreen? Is the data cached locally, so that the webapp can be run when the user is outside of 3G? I did a quick google, but my search terms were lacking. I noticed that Google Buzz allowed me to install locally, and I'm wondering what the process is for creating web apps, and if they get special treatment (full caching/running offline).

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  • how to get domain name from URL

    - by Chinmay
    How can I fetch a domain name from a URL String? Examples: +----------------------+------------+ | input | output | +----------------------+------------+ | www.google.com | google | | www.mail.yahoo.com | mail.yahoo | | www.mail.yahoo.co.in | mail.yahoo | | www.abc.au.uk | abc | +----------------------+------------+ Related: Matching a web address through regex

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  • Looking for efficient scaling patterns for Silverlight application with distributed text-file data s

    - by Edward Tanguay
    I'm designing a Silverlight software solution for students and teachers to record flashcards, e.g. words and phrases that students find while reading and errors that teachers notice while teaching. Requirements are: each person publishes his own flashcards in a file on a web server, e.g. http://:www.mywebserver.com/flashcards.txt other people subscribe to that person's flashcards by using a Silverlight flashcard reader that I have developed and entering the URLs of flashcard files they want to subscribe to, URLs and imported flashcards being saved in IsolatedStorage the flashcards.txt file has the following simple format: title, then blocks of question/answers: Jim Smith's flashcards from English class 53-222, winter semester 2009 ==fla Das kann nicht sein. That can't be. ==fla Es sei denn, er kommt nicht. Unless he doesn't come. The user then makes public the URL to his flashcard file and other readers begin reading in his flashcards. In order to lower the bar for non-technical users to contribute, it will even be possible for them to save this text in a Google Document, which they publish and distribute the URL. The flashcard readers will then recognize it is a google document and perform the necessary screen scraping to get at the raw text. I have two technical questions about this approach: What is a best way to plan now for scalability issues: e.g. if your reader is subscribed to 10 flashcard files that are each 200K, it will have to download 2MB of text just to find out if any new flashcards are available. Or can I somehow accurately and consistently get at the last update date/time of text files on servers and published google docs? Each reader will have the ability to allow the person to test himself on imported flashcards and add meta information to them, e.g. categorize them, edit them, etc. This information will be stored in IsolatedStorage along with the important flashcards themselves. What is a good pattern to allow these readers to share and synchronize this meta data, e.g. so when you are looking at a flashcard you can see that 5 other people have made corrections to it. The best solution I can think of now is that the Silverlight readers will have to republish their data to a central database, but then there is the problem of uniquely identifying each flashcard, the best approach seems to be URL + position-in-file, or even better URL + original text of both question and answer fields, but both of these have their obvious drawbacks. The main requirement is that the bar for participation is kept as low as possible, i.e. type text in a google document, publish it, distribute the URL, and you're publishing within the flashcard community. So I want to come up with the most efficient technical solutions in order to compensate for the lack of database, lack of unique ids, etc. For those who have designed or developed similar non-traditional, distributed database projects like this, what advice, experience or best-practice tips you can share on the above two points?

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  • Zend_PDF - different layout in adobe reader

    - by terrani
    Hi, I modified Magento pdf invoice with Zend_PDF. Output PDF looks fine on google doc and my local pdf reader (PDF+), but not on adobe reader 9. PDF on google and my local pdf reader http://babostory.com/local_google.gif PDF on Adobe Reader 9 http://babostory.com/adobe_reader.gif is this a bug or am I missing something?

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  • ORDER BY job failed in the Pig script while running EmbeddedPig using Java

    - by C.c. Huang
    I have this following pig script, which works perfectly using grunt shell (stored the results to HDFS without any issues); however, the last job (ORDER BY) failed if I ran the same script using Java EmbeddedPig. If I replace the ORDER BY job by others, such as GROUP or FOREACH GENERATE, the whole script then succeeded in Java EmbeddedPig. So I think it's the ORDER BY which causes the issue. Anyone has any experience with this? Any help would be appreciated! The Pig script: REGISTER pig-udf-0.0.1-SNAPSHOT.jar; user_similarity = LOAD '/tmp/sample-sim-score-results-31/part-r-00000' USING PigStorage('\t') AS (user_id: chararray, sim_user_id: chararray, basic_sim_score: float, alt_sim_score: float); simplified_user_similarity = FOREACH user_similarity GENERATE $0 AS user_id, $1 AS sim_user_id, $2 AS sim_score; grouped_user_similarity = GROUP simplified_user_similarity BY user_id; ordered_user_similarity = FOREACH grouped_user_similarity { sorted = ORDER simplified_user_similarity BY sim_score DESC; top = LIMIT sorted 10; GENERATE group, top; }; top_influencers = FOREACH ordered_user_similarity GENERATE com.aol.grapevine.similarity.pig.udf.AssignPointsToTopInfluencer($1, 10); all_influence_scores = FOREACH top_influencers GENERATE FLATTEN($0); grouped_influence_scores = GROUP all_influence_scores BY bag_of_topSimUserTuples::user_id; influence_scores = FOREACH grouped_influence_scores GENERATE group AS user_id, SUM(all_influence_scores.bag_of_topSimUserTuples::points) AS influence_score; ordered_influence_scores = ORDER influence_scores BY influence_score DESC; STORE ordered_influence_scores INTO '/tmp/cc-test-results-1' USING PigStorage(); The error log from Pig: 12/04/05 10:00:56 INFO pigstats.ScriptState: Pig script settings are added to the job 12/04/05 10:00:56 INFO mapReduceLayer.JobControlCompiler: mapred.job.reduce.markreset.buffer.percent is not set, set to default 0.3 12/04/05 10:00:58 INFO mapReduceLayer.JobControlCompiler: Setting up single store job 12/04/05 10:00:58 INFO jvm.JvmMetrics: Cannot initialize JVM Metrics with processName=JobTracker, sessionId= - already initialized 12/04/05 10:00:58 INFO mapReduceLayer.MapReduceLauncher: 1 map-reduce job(s) waiting for submission. 12/04/05 10:00:58 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same. 12/04/05 10:00:58 INFO input.FileInputFormat: Total input paths to process : 1 12/04/05 10:00:58 INFO util.MapRedUtil: Total input paths to process : 1 12/04/05 10:00:58 INFO util.MapRedUtil: Total input paths (combined) to process : 1 12/04/05 10:00:58 INFO filecache.TrackerDistributedCacheManager: Creating tmp-1546565755 in /var/lib/hadoop-0.20/cache/cchuang/mapred/local/archive/4334795313006396107_361978491_57907159/localhost/tmp/temp1725960134-work-6955502337234509704 with rwxr-xr-x 12/04/05 10:00:58 INFO filecache.TrackerDistributedCacheManager: Cached hdfs://localhost/tmp/temp1725960134/tmp-1546565755#pigsample_854728855_1333645258470 as /var/lib/hadoop-0.20/cache/cchuang/mapred/local/archive/4334795313006396107_361978491_57907159/localhost/tmp/temp1725960134/tmp-1546565755 12/04/05 10:00:58 INFO filecache.TrackerDistributedCacheManager: Cached hdfs://localhost/tmp/temp1725960134/tmp-1546565755#pigsample_854728855_1333645258470 as /var/lib/hadoop-0.20/cache/cchuang/mapred/local/archive/4334795313006396107_361978491_57907159/localhost/tmp/temp1725960134/tmp-1546565755 12/04/05 10:00:58 WARN mapred.LocalJobRunner: LocalJobRunner does not support symlinking into current working dir. 12/04/05 10:00:58 INFO mapred.TaskRunner: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/local/archive/4334795313006396107_361978491_57907159/localhost/tmp/temp1725960134/tmp-1546565755 <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/pigsample_854728855_1333645258470 12/04/05 10:00:58 INFO filecache.TrackerDistributedCacheManager: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/staging/cchuang402164468/.staging/job_local_0004/.job.jar.crc <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/.job.jar.crc 12/04/05 10:00:58 INFO filecache.TrackerDistributedCacheManager: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/staging/cchuang402164468/.staging/job_local_0004/.job.split.crc <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/.job.split.crc 12/04/05 10:00:59 INFO filecache.TrackerDistributedCacheManager: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/staging/cchuang402164468/.staging/job_local_0004/.job.splitmetainfo.crc <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/.job.splitmetainfo.crc 12/04/05 10:00:59 INFO filecache.TrackerDistributedCacheManager: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/staging/cchuang402164468/.staging/job_local_0004/.job.xml.crc <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/.job.xml.crc 12/04/05 10:00:59 INFO filecache.TrackerDistributedCacheManager: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/staging/cchuang402164468/.staging/job_local_0004/job.jar <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/job.jar 12/04/05 10:00:59 INFO filecache.TrackerDistributedCacheManager: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/staging/cchuang402164468/.staging/job_local_0004/job.split <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/job.split 12/04/05 10:00:59 INFO filecache.TrackerDistributedCacheManager: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/staging/cchuang402164468/.staging/job_local_0004/job.splitmetainfo <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/job.splitmetainfo 12/04/05 10:00:59 INFO filecache.TrackerDistributedCacheManager: Creating symlink: /var/lib/hadoop-0.20/cache/cchuang/mapred/staging/cchuang402164468/.staging/job_local_0004/job.xml <- /var/lib/hadoop-0.20/cache/cchuang/mapred/local/localRunner/job.xml 12/04/05 10:00:59 INFO mapred.Task: Using ResourceCalculatorPlugin : null 12/04/05 10:00:59 INFO mapred.MapTask: io.sort.mb = 100 12/04/05 10:00:59 INFO mapred.MapTask: data buffer = 79691776/99614720 12/04/05 10:00:59 INFO mapred.MapTask: record buffer = 262144/327680 12/04/05 10:00:59 WARN mapred.LocalJobRunner: job_local_0004 java.lang.RuntimeException: org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: file:/Users/cchuang/workspace/grapevine-rec/pigsample_854728855_1333645258470 at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.partitioners.WeightedRangePartitioner.setConf(WeightedRangePartitioner.java:139) at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:62) at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:117) at org.apache.hadoop.mapred.MapTask$NewOutputCollector.<init>(MapTask.java:560) at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:639) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:323) at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:210) Caused by: org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: file:/Users/cchuang/workspace/grapevine-rec/pigsample_854728855_1333645258470 at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:231) at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigFileInputFormat.listStatus(PigFileInputFormat.java:37) at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:248) at org.apache.pig.impl.io.ReadToEndLoader.init(ReadToEndLoader.java:153) at org.apache.pig.impl.io.ReadToEndLoader.<init>(ReadToEndLoader.java:115) at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.partitioners.WeightedRangePartitioner.setConf(WeightedRangePartitioner.java:112) ... 6 more 12/04/05 10:00:59 INFO filecache.TrackerDistributedCacheManager: Deleted path /var/lib/hadoop-0.20/cache/cchuang/mapred/local/archive/4334795313006396107_361978491_57907159/localhost/tmp/temp1725960134/tmp-1546565755 12/04/05 10:00:59 INFO mapReduceLayer.MapReduceLauncher: HadoopJobId: job_local_0004 12/04/05 10:01:04 INFO mapReduceLayer.MapReduceLauncher: job job_local_0004 has failed! Stop running all dependent jobs 12/04/05 10:01:04 INFO mapReduceLayer.MapReduceLauncher: 100% complete 12/04/05 10:01:04 ERROR pigstats.PigStatsUtil: 1 map reduce job(s) failed! 12/04/05 10:01:04 INFO pigstats.PigStats: Script Statistics: HadoopVersion PigVersion UserId StartedAt FinishedAt Features 0.20.2-cdh3u3 0.8.1-cdh3u3 cchuang 2012-04-05 10:00:34 2012-04-05 10:01:04 GROUP_BY,ORDER_BY Some jobs have failed! Stop running all dependent jobs Job Stats (time in seconds): JobId Maps Reduces MaxMapTime MinMapTIme AvgMapTime MaxReduceTime MinReduceTime AvgReduceTime Alias Feature Outputs job_local_0001 0 0 0 0 0 0 0 0 all_influence_scores,grouped_user_similarity,simplified_user_similarity,user_similarity GROUP_BY job_local_0002 0 0 0 0 0 0 0 0 grouped_influence_scores,influence_scores GROUP_BY,COMBINER job_local_0003 0 0 0 0 0 0 0 0 ordered_influence_scores SAMPLER Failed Jobs: JobId Alias Feature Message Outputs job_local_0004 ordered_influence_scores ORDER_BY Message: Job failed! Error - NA /tmp/cc-test-results-1, Input(s): Successfully read 0 records from: "/tmp/sample-sim-score-results-31/part-r-00000" Output(s): Failed to produce result in "/tmp/cc-test-results-1" Counters: Total records written : 0 Total bytes written : 0 Spillable Memory Manager spill count : 0 Total bags proactively spilled: 0 Total records proactively spilled: 0 Job DAG: job_local_0001 -> job_local_0002, job_local_0002 -> job_local_0003, job_local_0003 -> job_local_0004, job_local_0004 12/04/05 10:01:04 INFO mapReduceLayer.MapReduceLauncher: Some jobs have failed! Stop running all dependent jobs

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  • Any Open Source Pregel like framework for distributed processing of large Graphs?

    - by Akshay Bhat
    Google has described a novel framework for distributed processing on Massive Graphs. http://portal.acm.org/citation.cfm?id=1582716.1582723 I wanted to know if similar to Hadoop (Map-Reduce) are there any open source implementations of this framework? I am actually in process of writing a Pseudo distributed one using python and multiprocessing module and thus wanted to know if someone else has also tried implementing it. Since public information about this framework is extremely scarce. (A link above and a blog post at Google Research)

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  • Wikipedia API: list=alllinks confusion

    - by Chris Salij
    I'm doing a research project for the summer and I've got to use get some data from Wikipedia, store it and then do some analysis on it. I'm using the Wikipedia API to gather the data and I've got that down pretty well. What my questions is in regards to the links-alllinks option in the API doc here After reading the description, both there and in the API itself (it's down and bit and I can't link directly to the section), I think I understand what it's supposed to return. However when I ran a query it gave me back something I didn't expect. Here's the query I ran: http://en.wikipedia.org/w/api.php?action=query&prop=revisions&titles=google&rvprop=ids|timestamp|user|comment|content&rvlimit=1&list=alllinks&alunique&allimit=40&format=xml Which in essence says: Get the last revision of the Google page, include the id, timestamp, user, comment and content of each revision, and return it in XML format. The allinks (I thought) should give me back a list of wikipedia pages which point to the google page (In this case the first 40 unique ones). I'm not sure what the policy is on swears, but this is the result I got back exactly: <?xml version="1.0"?> <api> <query><normalized> <n from="google" to="Google" /> </normalized> <pages> <page pageid="1092923" ns="0" title="Google"> <revisions> <rev revid="366826294" parentid="366673948" user="Citation bot" timestamp="2010-06-08T17:18:31Z" comment="Citations: [161]Tweaked: url. [[User:Mono|Mono]]" xml:space="preserve"> <!-- The page content, I've replaced this cos its not of interest --> </rev> </revisions> </page> </pages> <alllinks> <l ns="0" title="!" /> <l ns="0" title="!!" /> <l ns="0" title="!!!" /> <l ns="0" title="!!!!" /> <l ns="0" title="!!!!!!!!!!!!!!!!!!!!!" /> <l ns="0" title="!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!" /> <l ns="0" title="!!!!!!!!!!!!!!!!!!!!*was up all u hater just stopingby to show u some love*!!!!!!!!!!!!!!!!!!!!!!!!!!!" /> <l ns="0" title="!!!!!!!!!!!!&amp;&amp;&amp;&amp;&amp;&amp;&amp;&amp;&amp;&amp;&amp;********(( )))))F/W///CHRYSLER/FUCKING/FUCKING/FUCKING/I HATE THE QUEEN!!!/I AM HORRID HENRY/Chrysler Cirrus/php" /> <l ns="0" title="!!!!!Hephaestos IS A FUCKING WHINY GUY!!!!!!" /> <l ns="0" title="!!!!Do you really want to see this article on your default search?" /> <l ns="0" title="!!!!Legal!!!!" /> <l ns="0" title="!!!!YOU ARE A COCKSUCKING WHINY GREASER!!!!" /> <l ns="0" title="!!!BESQUERKAN!!!" /> <l ns="0" title="!!!Fuck You!!!" /> <l ns="0" title="!!!Fuck You!!! And Then Some" /> <l ns="0" title="!!!Fuck You!!! And Then some" /> <l ns="0" title="!!!Fuck You!!! And then Some" /> <l ns="0" title="!!!Fuck You!!! and Then Some" /> <l ns="0" title="!!!Three !!! Amigos!!!" /> <l ns="0" title="!!! (album)" /> <l ns="0" title="!!! (band)" /> <l ns="0" title="!!1" /> <l ns="0" title="!!BOSS!!" /> <l ns="0" title="!!Destroy-Oh-Boy!!" /> <l ns="0" title="!!Fuck you!!" /> <l ns="0" title="!!M" /> <l ns="0" title="!!Que Corra La Voz!!" /> <l ns="0" title="!! (chess)" /> <l ns="0" title="!! (disambiguation)" /> <l ns="0" title="!! 6- -.4rtist.com" /> <l ns="0" title="!!m" /> <l ns="0" title="!!suck my balls!!" /> <l ns="0" title="!!~~YOU WIN~~!!" /> <l ns="0" title="!&#039;O-!khung language" /> <l ns="0" title="!(1)Full Name:(2)Age:(3)Sex:(4)Occupation:(5)Phone Number: (6)Delivery Address:(7)Country of Residence:. Dr.John Aboh" /> <l ns="0" title="!-" /> <l ns="0" title="!-My Degrassi Top 10 Episodes" /> <l ns="0" title="!10 Show" /> <l ns="0" title="!2005" /> <l ns="0" title="!2006" /> </alllinks> </query> <query-continue> <revisions rvstartid="366673948" /> <alllinks alfrom="!2009" /> </query-continue> </api> As you can see if you look at the <alllinks> part, its just a load of random gobbledy-gook. No nearly what I thought I'd get. I've done a fair bit of searching but I can't seem to find a direct answer to my question. What should the list=alllinks option return? Why am I getting this crap in there? Thanks for your help

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