Tuesday, April 5, 2016

RTL8723AU Realtek driver fails after linux update fix.

After a recent kernel update my wireless stopped working in Fedora 23.

dmesg started showing logs like this:
[    5.508212] usb 1-1.4: Vendor: Realtek
[    5.508218] usb 1-1.4: Product: 802.11n WLAN Adapter
[    5.508222] usb 1-1.4: RTL8723AU rev B (TSMC) 1T1R, TX queues 2, WiFi=1, BT=1, GPS=0, HI PA=0
[    5.508226] usb 1-1.4: RTL8723AU MAC: 20:16:d8:03:97:c1
[    5.508229] usb 1-1.4: rtl8xxxu: Loading firmware rtlwifi/rtl8723aufw_B_NoBT.bin
[    5.517062] usb 1-1.4: Firmware revision 31.0 (signature 0x2302)
[    5.539427] Bluetooth: BNEP (Ethernet Emulation) ver 1.3
[    5.539431] Bluetooth: BNEP filters: protocol multicast
[    5.539435] Bluetooth: BNEP socket layer initialized
[    5.859658] usb 1-1.4: Firmware failed to start
[    5.867382] usbcore: registered new interface driver rtl8xxxu
[    5.891270] r8723au: module is from the staging directory, the quality is unknown, you have been warned.
[    5.892132] usbcore: registered new interface driver rtl8723au
[    5.896855] nf_conntrack version 0.5.0 (65536 buckets, 262144 max)
[    5.948845] ip6_tables: (C) 2000-2006 Netfilter Core Team
[    6.059170] Ebtables v2.0 registered
[    6.064706] 8723au: module verification failed: signature and/or required key missing - tainting kernel
[    9.421736] usb 1-1.4: RTL8723AU rev B (TSMC) 1T1R, TX queues 2, WiFi=1, BT=1, GPS=0, HI PA=0
[    9.421738] usb 1-1.4: RTL8723AU MAC: 20:16:d8:03:97:c1
[    9.421740] usb 1-1.4: rtl8xxxu: Loading firmware rtlwifi/rtl8723aufw_B_NoBT.bin
[    9.426593] usb 1-1.4: Firmware revision 31.0 (signature 0x2302)
[    9.549596] Bluetooth: BNEP (Ethernet Emulation) ver 1.3
[    9.549600] Bluetooth: BNEP filters: protocol multicast
[    9.549605] Bluetooth: BNEP socket layer initialized
[    9.833822] usb 1-1.4: Firmware failed to start

It looks like there is a New Driver added to the kernel so to fix this I just re-installed the working driver from: https://github.com/lwfinger/rtl8723au


Then I ran the following and was good to go:
/usr/sbin/modprobe -r rtl8xxxu
/usr/sbin/modprobe -r 8723au
/usr/sbin/modprobe  8723au

Friday, January 9, 2015

Dojo ComboBox with JsonRest store and loading indicator.

I was using a JsonRest store to populate a dijit ComboBox and FilteringSelect with auto complete and needed to display a spinner or loading message while the JsonRest store was querying.

I googled around for a built in solution and found a couple people asking but no responses.

I am not sure if this is the best approach but a quick and easy enough solution for me was to intercept the functions that are called when a search begins and ends. These functions exist within dijit/form/_SearchMixin.js that the ComboBox and FilteringSelect inherit from:

_SearchMixin._startSearch  -> Called when a search starts
_SearchMixin.onComplete -> Called when a search ends.

Therefore I did something similar to the following to display a loading indicator during store queries. The only down side to this approach is a missing edge case where if the JsonRest store has an error, the loading indicator will continue to display.

<!DOCTYPE html>
<html lang="en">
    <head>
      <link rel="stylesheet" type="text/css" href="https://ajax.googleapis.com/ajax/libs/dojo/1.10.3/dijit/themes/claro/claro.css"/>
      <script src="https://ajax.googleapis.com/ajax/libs/dojo/1.10.3/dojo/dojo.js"></script>
      <script>
          require([
              'dojo/aspect',
              'dojo/store/Memory',
              'dojo/dom-style',
              'dijit/form/ComboBox',
              'dojo/domReady!'
          ], function (aspect, Memory, domStyle, ComboBox) {

             var someData = [
                 { id:1, name:"One" },
                 { id:2, name:"Two" }
             ];

             var combobox = new ComboBox({
                 store: new Memory( {data: someData }),
                 searchAttr: 'name',
                 autocomplete: true
                 }, 'exampleCombobox');

              function showSpinner() {
                  domStyle.set("exampleSpinner", "display", "block");
              }

              function hideSpinner() {
                  domStyle.set("exampleSpinner", "display", "none");
              }

              aspect.after(combobox, '_startSearch', showSpinner);
              aspect.after(combobox, 'onSearch', hideSpinner);
          });
      </script>
    </head>
    <body class="claro">
      <input id="exampleCombobox"/>
      <img src="https://ajax.googleapis.com/ajax/libs/dojo/1.10.3/dijit/themes/claro/images/loadingAnimation.gif"
           style="display:none"
           id="exampleSpinner"/>
    </body>
</html>

Sunday, December 21, 2014

Lenovo Yoga 13 and Screen Brightness On Fedora 21

Just upgraded to Fedora 21 and the screen brightness controls do not work in Gnome.

Before Fedora 21 I had modified the following variable GRUB_CMDLINE_LINUX in the default grub file: /etc/default/grub in order to append `acpi_backlight=vendor`

#emacs /etc/default/grub

GRUB_CMDLINE_LINUX="...existing vars here... acpi_backlight=vendor"

After the upgrade I had to change this from acpi_backlight=vendor to acpi_backlight=intel. Once the file is updated run:

#grub2-mkconfig -o /boot/efi/EFI/fedora/grub.cfg

Once done, reboot and the screen brightness controls should work however the screen brightness range goes from 0 to 4882 (/sys/class/backlight/intel_backlight/max_brightness) instead of around 100 to 4882 so if you dim the brightness all the way down, your screen will be completely black.

Friday, October 3, 2014

Understanding DB2 OLAP By Example

The OLAP features in DB2 are very cool however I don't see a lot of people using them. In addition, sometimes reading the docs on these features are overwhelming so hopefully these examples will make it easy to understand.

We'll look at the following OLAP features in particular. There are more available if you navigate to the IBM website for your DB2 version.
 First we need to create a sample table and data:

CREATE TABLE sales(
     item VARCHAR(20), 
     state CHAR(2),
     store VARCHAR(20),
     amount DECIMAL);

Then lets insert some sample data:

INSERT INTO sales VALUES('Watch', 'IL', 'Buymore', 15);
INSERT INTO sales VALUES('Watch', 'NY', 'Buymore', 15);
INSERT INTO sales VALUES('Watch', 'NY', 'Buymore', 15);
INSERT INTO sales VALUES('Watch', 'NY', 'Buymore', 15);
INSERT INTO sales VALUES('Watch', 'MN', 'Buymore', 15);
INSERT INTO sales VALUES('Watch', 'NY', 'Buymore', 15);
INSERT INTO sales VALUES('Watch', 'NY', 'Buymore', 15);

INSERT INTO sales VALUES('Phone', 'MN', 'Buymore', 150);
INSERT INTO sales VALUES('Phone', 'IL', 'Buymore', 150);
INSERT INTO sales VALUES('Phone', 'NY', 'Buymore', 150);
INSERT INTO sales VALUES('Phone', 'NY', 'Buymore', 150);
INSERT INTO sales VALUES('Phone', 'NY', 'Buymore', 150);
INSERT INTO sales VALUES('Phone', 'MN', 'Buymore', 150);

INSERT INTO sales VALUES('Watch', 'NY', 'Amazing', 15);
INSERT INTO sales VALUES('Watch', 'IL', 'Amazing', 15);
INSERT INTO sales VALUES('Watch', 'NY', 'Amazing', 15);

INSERT INTO sales VALUES('Phone', 'MN', 'Amazing', 150);
INSERT INTO sales VALUES('Phone', 'NY', 'Amazing', 150);
INSERT INTO sales VALUES('Phone', 'MN', 'Amazing', 150);

Now lets look at the result of a common group by clause:
SELECT 
     store,
     SUM(amount)
FROM
     sales
GROUP BY
     store
STORE                                     TOTAL_SALES 
-------------------- --------------------------------- 
Buymore                                           1020 
Amazing                                            495
As we can see the group by clause took the sum of sales by store. Now lets look at the sum of sales by state using a group by store and state.

SELECT 
     store,
     state,
     SUM(amount) AS total_sales
FROM
     sales
GROUP BY
     store,
     state
STORE                ST                       TOTAL_SALES 
-------------------- -- --------------------------------- 
Amazing              MN                               300 
Buymore              NY                               525 
Buymore              IL                               165 
Amazing              IL                                15 
Amazing              NY                               180 
Buymore              MN                               330 

These are some pretty common group by scenarios but what if you needed a grouping by store and state, and also to display the total sales for each store, as well as for all stores. Here is where rollup comes into play.

Rollup

Rollup is similar to a group by clause except that it also outputs running totals for your rollup groups.
SELECT 
     store,
     state,
     SUM(amount) AS total_sales
FROM
     sales
GROUP BY
     ROLLUP(store, state)
STORE                ST           TOTAL_SALES 
-------------------- -- ---------------------- 
Amazing              IL                     15 
Amazing              MN                    300 
Amazing              NY                    180 
Amazing                                    495 <-Total Amazing
Buymore              IL                    165 
Buymore              MN                    330 
Buymore              NY                    525 
Buymore                                    1020 <-Total Buymore
                                           1515 <-Total

You could also swap the rollup fields and rollup on state and then store:

SELECT 
     store,
     state,
     SUM(amount) AS total_sales
FROM
     sales
GROUP BY 
     ROLLUP(state,store)
 STORE               ST                       TOTAL_SALES 
-------------------- -- --------------------------------- 
Amazing              IL                                15 
Buymore              IL                               165 
                     IL                               180
Amazing              MN                               300 
Buymore              MN                               330 
                     MN                               630
Amazing              NY                               180 
Buymore              NY                               525 
                     NY                               705
                                                     1515

Cube

The cube feature is similar to the rollup feature except it aggregates the data into all combinations in your cube clause. For example this will list the total sales by all combinations of store and state:
  • Store per State Total
  • Store Total
  • State Total
SELECT 
     store,
     state,
     SUM(amount) AS total_sales
FROM
     sales
GROUP BY 
     CUBE(store, state)
STORE            ST       TOTAL_SALES 
---------------- -- ----------------- 
Amazing          CT                15 
Amazing          IL                15 
Amazing          MD                 5 
Amazing          MN               300 
Amazing          NY               180 
Amazing                           515 <-Total Amazing
Buymore          IL               165 
Buymore          MN               315 
Buymore          NY               525 
Buymore                          1005 <-Total Buymore  
                                 1520 <-Grand Total    
                 MD                 5 <-Total by states
                 IL               180                  
                 MN               615                  
                 CT                15                  
                 NY               705                       

Grouping Set

You can also do aggregates based off grouping sets. For example this will list the total sales by store and item, as well as state and item.
SELECT 
     store,
     state,
     item,
     SUM(amount) AS total_sales
FROM
     sales
GROUP BY 
     GROUPING SETS((store, item), (state, item));
STORE                ST ITEM                 TOTAL_SALES 
-------------------- -- ----------- -------------------- 
Buymore                 Watch                        105 
Amazing                 Watch                         60 
Buymore                 Phone                        900 
Amazing                 Phone                        450 
Amazing                 Pen                            5 
                     MD Pen                            5 
                     NY Phone                        600 
                     CT Watch                         15 
                     IL Watch                         30 
                     MN Watch                         15 
                     MN Phone                        600 
                     IL Phone                        150 
                     NY Watch                        105 

Rank

Now lets say you want to rank/order the stores by state of most sales. Here is where the rank function comes into play:
SELECT 
     store,
     state,
     SUM(amount) AS total_sales,
     RANK() OVER (PARTITION BY store ORDER BY SUM(amount) DESC) AS rank
FROM
     sales
GROUP BY 
     state,
     store;
STORE        ST TOTAL_SALES    RANK 
------------ -- -------------- ----- 
Amazing      MN 300            1 <-Highest sale state for Amazing
Amazing      NY 180            2 
Amazing      IL  15            3 
Buymore      NY 525            1 <-Highest sale state for Buymore
Buymore      MN 330            2 
Buymore      IL 165            3 
Rank basically gives an ordering to your results based on how you want that ordering to work. "Partition by store" means your ordering is specific to each store. "order by sum(amount) desc" means for each store, order the results by the highest sales in descending order.

Please note that if two rows tie for a ranking, the ranking number will not increment on the tied row.

Dense Rank

There is also a slightly different rank type; dense rank that differs from rank in how subsequent rows after a tie will increment.

To demonstrate, lets add a new state, CT that ties with IL for Amazing sales. Lets also add another state with lower sales than CT and IL.
INSERT INTO sales VALUES('Watch', 'CT', 'Amazing', 15);
INSERT INTO sales VALUES('Pen', 'MD', 'Amazing', 5);
 
SELECT 
     store,
     state,
     SUM(amount) AS total_sales,
     DENSE_RANK() OVER (PARTITION BY store ORDER BY SUM(amount) DESC) AS dense_rank,
     RANK() OVER (PARTITION BY store ORDER BY SUM(amount) DESC) AS rank
FROM
     sales
GROUP BY 
     state,
     store;
STORE                ST      TOTAL_SALES        DENSE_RANK                 RANK 
-------------------- -- ---------------- ----------------- -------------------- 
Amazing              MN              300                 1                    1 
Amazing              NY              180                 2                    2 
Amazing              CT               15                 3                    3
Amazing              IL               15                 3                    3 
Amazing              MD                5                 4                    5
Buymore              NY              525                 1                    1 
Buymore              MN              315                 2                    2 
Buymore              IL              165                 3                    3 
In this example, after a tie ranking (ranking #3), rank skipped over ranking #4 and went straight to 5 while dense rank incremented one count to 4. Rank is nice if you need a total count of items in the rank.

Row Number

Row number is similar to rank however instead of ranking the row, just gives the row a number starting at 1 and incrementing by 1. In the following example, we assign a row number to each row and partition the row number by store. This basically means that each store will have a row number assigned starting at 1.
SELECT 
     store,
     state,
     SUM(amount) AS total_sales,
     ROW_NUMBER() OVER (PARTITION BY store) AS row_number
FROM
     sales
GROUP BY 
     state,
     store;
STORE                ST      TOTAL_SALES       ROW_NUMBER
-------------------- -- ---------------- ----------------- 
Buymore              NY              525                 1 
Buymore              IL              165                 2 
Buymore              MN              315                 3 
Amazing              MN              300                 1 
Amazing              CT               15                 2
Amazing              NY              180                 3 
Amazing              IL               15                 4
Amazing              MD                5                 5

Friday, September 26, 2014

Disabling the Lenovo Yoga Touchpad and Keyboard In Fedora

I can't find an easy way to disable the mouse and keyboard on screen flip of the Yoga in Fedora however an easy enough approach is to disable them by hand using xinput.

Issue an: xinput --list

[richie@localhost ~]$ xinput --list
⎡ Virtual core pointer                          id=2    [master pointer  (3)]
⎜   ↳ Virtual core XTEST pointer                id=4    [slave  pointer  (2)]
⎜   ↳ Logitech Unifying Device. Wireless PID:1028       id=9    [slave  pointer  (2)]
⎜   ↳ ELAN Touchscreen                          id=10   [slave  pointer  (2)]
⎜   ↳ SynPS/2 Synaptics TouchPad                id=14   [slave  pointer  (2)]
⎜   ↳ Microsoft Natural® Ergonomic Keyboard 4000        id=15   [slave  pointer  (2)]
⎣ Virtual core keyboard                         id=3    [master keyboard (2)]
    ↳ Virtual core XTEST keyboard               id=5    [slave  keyboard (3)]
    ↳ Power Button                              id=6    [slave  keyboard (3)]
    ↳ Video Bus                                 id=7    [slave  keyboard (3)]
    ↳ Power Button                              id=8    [slave  keyboard (3)]
    ↳ Lenovo EasyCamera                         id=11   [slave  keyboard (3)]
    ↳ Ideapad extra buttons                     id=12   [slave  keyboard (3)]
    ↳ Microsoft Natural® Ergonomic Keyboard 4000        id=16   [slave  keyboard (3)]
    ↳ AT Translated Set 2 keyboard              id=13   [slave  keyboard (3)]
Then look for the id of the mouse and touchpad. Mine are 13 and 14.

With the id's you can then create a simple bash script. The simplest would be to create a file; disable_keyboard_mouse.sh, with the following contents:
#!/bin/bash
xinput set-int-prop 13 "Device Enabled" 8 $1
xinput set-int-prop 14 "Device Enabled" 8 $1
Then issue 'chmod +x disable_keyboard_mouse.sh' and call it with ./disable_keyboard_mouse 0 or ./disable_keyboard_mouse 1 with 1 turning the keyboard and mouse on and 0 turning it off.

Friday, May 2, 2014

MythTV transcoding user job

For some reason I was having trouble with existing online MythTV transcoding jobs. Specifically this and MythBrake were nice but after many attempts I couldn't get HandbrakeCLI to output a decent quality video and opted to write my own using ffmpeg.

Please be aware this script will automatically cut out commercials even if mythcommflag is inaccurate.

To get started copy the script into a file on your mythbackend box. In the example below it is called transcode.sh. Then `chmod +x` and review the contents of the `./transcode.sh -h` help command like so:

[richie@localhost mythtv]$ chmod +x transcode.sh
[richie@localhost mythtv]$ ./transcode.sh -h
Transcodes a video to .mkv auto cutting commercials.
User job example: /home/richie/mythtv/transcode.sh -c %CHANID% -s %STARTTIMEUTC%

-v         show version
-h         show usage
-l         limit CPU usage
-s [arg]   starttime from mythtv. In user job %STARTTIMEUTC%
-c [arg]   chanid from mythtv. In user job %CHANID%
-u [arg]   MySql username
-p [arg]   MySql password
-o [arg]   output Directory
-t [arg]   temp Directory
-r [arg]   ffmpeg crf. See: https://trac.ffmpeg.org/wiki/Encode/H.264
-z [arg]   ffmpeg preset. See: https://trac.ffmpeg.org/wiki/Encode/H.264

Here is the script:

#!/bin/bash
# ------------------------------------------------------------------                                                      
# [Author] Richard Kanavati                                                                                               
#          A simple MythTV script to transcode video to mkv                                                               
# ------------------------------------------------------------------                                                      

# ---------User Variable Defaults-----------------------------------                                                      
# For simplicity in configuring a MythTV user job, default command                                                        
# line parameters can be specified here.                                                                                  
# These will be overridden if you supply command line parameters.                                                          
db_user="mythtv"
db_password="mythtv"
output_dir="~/"
temp_dir="/tmp"
mythtranscode_options="--mpeg2 --honorcutlist"
ffmpeg_crf=23
ffmpeg_preset="slow"
limit_cpu=1
# ------------------------------------------------------------------                                                      

set -e
trap 'exit_handler' EXIT

exit_handler()
{
    if [ -e "$temp_transcoding_file" ]; then
        rm "$temp_transcoding_file"
    fi

    if [ -e "$temp_transcoding_file.map" ]; then
        rm "$temp_transcoding_file.map"
    fi
}

display_usage() {
    local directory="$(cd "$(dirname "${0}")"; echo $(pwd))"
    local file="${directory}/$(basename "${0}")"

    echo "Transcodes a video to .mkv auto cutting commercials."
    echo "User job example: $file -c %CHANID% -s %STARTTIMEUTC%"
    echo ""
    echo "-v         show version"
    echo "-h         show usage"
    echo "-l         limit CPU usage"
    echo "-s [arg]   starttime from mythtv. In user job %STARTTIMEUTC%"
    echo "-c [arg]   chanid from mythtv. In user job %CHANID%"
    echo "-u [arg]   MySql username"
    echo "-p [arg]   MySql password"
    echo "-o [arg]   output Directory"
    echo "-t [arg]   temp Directory"
    echo "-r [arg]   ffmpeg crf. See: https://trac.ffmpeg.org/wiki/Encode/H.264"
    echo "-z [arg]   ffmpeg preset. See: https://trac.ffmpeg.org/wiki/Encode/H.264"
}

if [ $# == 0 ] ; then
    display_usage
fi

while getopts ":s:c:u:p:o:t:r:z:vhl" optname
  do
    case "$optname" in
     v)
        echo "Version $VERSION"
        exit 0;;
      c)
        chanid=${OPTARG};;
      s)
        starttime=${OPTARG};;    
      l)
        limit_cpu=1;;
      m)
        db_user=${OPTARG};;
      p)
        db_password=${OPTARG};;
      o)
        output_dir=${OPTARG};;
      t)
        temp_dir=${OPTARG};;
      r)
        ffmpeg_crf=${OPTARG};;
      z)
        ffmpeg_preset=${OPTARG};;
      h)
        display_usage;
        exit 0;;
    esac
  done

if [ -z "$chanid" ] || [ -z "$starttime" ]; then
  echo
  echo "Must supply -c and -s parameters!";
  echo
  display_usage
  exit 1
fi

if [ "$limit_cpu" -eq 1 ]; then
    renice 19 $$
    ionice -c 3 -p $$
fi

sql="                                                                                                                     
SELECT                                                                                                                    
    s.dirname as storagegroup,                                                                                            
    r.basename,                                                                                                           
    r.commflagged,                                                                                                        
    CONCAT(r.title,' ', CASE                                                                                              
                         WHEN r.season > 0                                                                                
                         THEN concat('s', lpad(r.season,2,0), 'e', lpad(r.episode,2,0), ' ')                              
                         ELSE ''                                                                                          
                        END, r.subtitle) AS title                                                                         
FROM                                                                                                                      
    recorded r                                                                                                            
    JOIN storagegroup s                                                                                                   
       ON s.groupname = r.storagegroup                                                                                    
WHERE                                                                                                                     
   r.chanid = '$chanid'                                                                                                   
   and r.starttime='$starttime'                                                                                           
LIMIT 1;                                                                                                                  
"

query_results=$(mysql -u"$db_user" -p"$db_password" -Dmythconverg -NBse  "$sql")
if [ ! "$query_results" ]; then
    echo "Could not locate video in the mythtv database."
    exit 1
fi

storage_group=$(echo "$query_results"|cut -f1)
if [ ! "$storage_group" ]; then
    echo "Could not locate storage group in the mythtv database."
    exit 1
fi

basename=$(echo "$query_results"|cut -f2)
commflagged=$(echo "$query_results"|cut -f3)
title=$(echo "$query_results"|cut -f4|sed 's/ *$//'|sed "s/[:?]/ /g"|sed "s/[.]//g")
if [ ! "$title" ]; then
    title="unknown_title_${starttime}"
fi

transcoding_file="$storage_group$basename"
temp_transcoding_file="$temp_dir/${chanid}_$starttime.mpg"
output_file="$output_dir/$title.mkv"
if [ -e "$output_file" ]; then
   output_file="$output_dir/${title}_$starttime.mkv"
fi

if [ $commflagged -eq 0 ]; then
    /usr/bin/mythcommflag --chanid "$chanid" --starttime "$starttime"
fi

/usr/bin/mythutil --chanid "$chanid" --starttime "$starttime" --gencutlist
/usr/bin/mythtranscode --chanid "$chanid" --starttime "$starttime" --allkeys --buildindex --mpeg2 --showprogress
/usr/bin/mythtranscode --chanid "$chanid" --starttime "$starttime" $mythtranscode_options -o "$temp_transcoding_file"
/usr/bin/mythcommflag --file "$temp_transcoding_file" --rebuild
/usr/bin/ffmpeg -i "$temp_transcoding_file" -c:v libx264 -preset "$ffmpeg_preset" -crf "$ffmpeg_crf" -c:a copy "$output_file"

Tuesday, April 29, 2014

.Net Listing Classes or Methods With A Particular Attribute.

Whenever I build a website I always like to build an admin section and expose information such as which actions are cached, which controllers require authorization and which fields are required etc. Luckily in .Net MVC most of these things are implemented as attributes.

Here is an example of scanning an assembly and listing all the classes and methods with a particular attribute on them. I chose two random attributes for this example:

[Obsolete]
public class Program
{
    public static void Main(string[] args)
    {
        var program = new Program();
        var types = program.GetAttributesOnClasses();
        foreach (var t in types)
        {
            Console.WriteLine("Class: {0}  - Attribute: {1}", t.Type.Name, t.Attributes);
        }

        var methods = program.GetAttributesOnMethods();
        foreach (var method in methods)
        {
            Console.WriteLine("Method Name: {0} -  Attribute: {1}", method.MethodInfo.Name, method.Attributes);
        }

        Console.ReadLine();
    }
  
    public IEnumerable GetAttributesOnClasses<T>() where T : Attribute
    {
        return new AttributeScan().GetTypesWith<T>(new[] { Assembly.GetExecutingAssembly() }, false);
    }

    public IEnumerable<methodattributeinfo> GetAttributesOnMethods<T>() where T : Attribute
    {
        return new AttributeScan().GetMethodsWith<T>(new[] { Assembly.GetExecutingAssembly() }, false);
    }

    [STAThread]    
    public void DoNothing()
    {          
    }

    [STAThread]
    private void PrivateDoNothing()
    {
    }

}
Will output:

Class: Program  - Attribute: System.ObsoleteAttribute[]
Method Name: DoNothing -  Attribute: System.STAThreadAttribute[]

Note that the scan did not take into account the private method.