3.1 From the t-test to the linear (mixed) model
We begin with the Grodner and Gibson (2005) self-paced reading data we saw in the previous chapter. Load the data and compute the means for the raw reading times by condition:
gg05e1 <- read.table("data/grodnergibsonE1crit.txt",
header = TRUE)
means <- round(with(gg05e1, tapply(rawRT, IND = condition,
mean)))
means
## objgap subjgap
## 471 369
As predicted by theory (Grodner and Gibson 2005), object relatives (labeled objgap here) are read slower than subject relatives (labeled subjgap).
As discussed in the previous chapter, a paired t-test can be done to evaluate whether we have evidence against the null hypothesis that object relatives and subject relatives have identical reading times. However, we have to aggregate the data by subjects and by items first.
bysubj <- aggregate(rawRT ~ subject + condition, mean,
data = gg05e1)
byitem <- aggregate(rawRT ~ item + condition, mean,
data = gg05e1)
t.test(rawRT ~ condition, paired = TRUE, bysubj)$statistic
## t
## 3.109
## t
## 3.754
What these two t-tests show is that both by subjects and by items, there is strong evidence against the null hypothesis that the object and relatives have identical reading times.
Interestingly, exactly the same t-values can be obtained by running the following commands, which implement a kind of linear model called the linear mixed model:
## Loading required package: Matrix
##
## Attaching package: 'lme4'
## The following object is masked from 'package:SIN':
##
## sdcor2cov
## Estimate Std. Error t value
## (Intercept) 471.4 31.13 15.143
## conditionsubjgap -102.3 32.90 -3.109
## Estimate Std. Error t value
## (Intercept) 471.4 20.20 23.336
## conditionsubjgap -102.3 27.25 -3.754
The signs of the t-values are the opposite to that of the paired t-tests above; the reason for that will presently become clear.
Our goal in this chapter is to understand the above model involving the lmer
function, using the familiar paired t-test as a starting point.
For now, consider only the by-subject analysis. Given the sample means shown above for the two conditions, we can rewrite our best guess about how the object and subject relative clause reading time distributions were generated:
- Object relative: \(Normal(471,\hat\sigma)\)
- Subject relative: \(Normal(369,\hat\sigma)\)
This can also be rewritten with respect to the object relative mean and the difference between the two conditions (the reasons for this will become clear presently):
- Object relative: \(Normal(471-102\times 0,\hat\sigma)\)
- Subject relative: \(Normal(471-102\times 1,\hat\sigma)\)
Note that the two distributions for object and subject relative clauses (RCs) are assumed to be independent. This assumed independence is expressed by the fact that we define two separate Normal distributions, one for object relatives and the other for subject relatives. We saw earlier that this assumption of independence does not hold in our data, because we have one data point for each RC type from the same subject. However, for now we will ignore this detail; we will fix this shortcoming later.
The interesting point to notice here is that the mean for the object and subject relatives’ distributions can be rewritten as a sum of two terms. A completely equivalent way to express the fact that object relatives are coming from a \(Normal(471,\hat\sigma)\) is to say that each object relative data-point can be described by the following equation:
\[\begin{equation} y = 471 + -102 \times 0 + \varepsilon \hfill \hbox{ where } \varepsilon \sim Normal(0,\hat\sigma) \end{equation}\]
Similarly, the subject relative’s distribution can be written as being generated from:
\[\begin{equation} y = 471 - 102 \times 1 + \varepsilon \hbox{ where } \varepsilon \sim Normal(0,\hat\sigma) \end{equation}\]
In these data, the parameter \(\hat\sigma\) is estimated to be \(213\). How do we know what this estimate is? This parameter’s estimate can be derived from the by-subjects t-test output above: The observed t-value is
\[\begin{equation} obs.t= \frac{\bar{x}}{s/\sqrt{n}} \end{equation}\]
Solving for \(s\):
\[\begin{equation} s = \bar{x} \times \sqrt{n}/obs.t = -103 \times \sqrt{42}/-3.109 = 213 \end{equation}\]
So, our model for the relative clause data consists of two equations:
Object relatives:
\[\begin{equation} y = 471 -102\times 0 + \varepsilon \hfill \hbox{ where } \varepsilon \sim Normal(0,213) \end{equation}\]
Subject relatives:
\[\begin{equation} y = 471 - 102\times 1 + \varepsilon \hbox{ where } \varepsilon \sim Normal(0,213) \end{equation}\]
The above statements describe a generative process for the data.
Given such a statement about the generative process, we can express the estimated mean reading times for each RC type as follows. We can ignore the term \(\varepsilon\) because it has mean 0 (we stipulate this when we specify that \(\varepsilon \sim Normal(0,\sigma)\)).
Mean object relative reading times:
\[\begin{equation} \hbox{Mean OR RT}= 471 -102\times 0 \end{equation}\]
Mean subject relative reading times:
\[\begin{equation} \hbox{Mean SR RT} = 471 - 102\times 1 \end{equation}\]
There is a function in R, the lm()
function, which expresses the above statistical model, and prints out exactly the same numerical values that we used above:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 471.4 31.13 15.143 1.795e-25
## conditionsubjgap -102.3 44.02 -2.324 2.263e-02
The linear model function lm()
prints out two coefficients, \(471\) and \(-102\), that help express the mean reading times for object and subject relative data, using a simple coding scheme: object relatives are coded as 0, and subject relatives are coded as 1. This coding scheme is not visible to the user, but is represented internally in R. The user can see the coding for each condition level by typing:
## make sure that the condition column is of type
## factor:
bysubj$condition <- factor(bysubj$condition)
contrasts(bysubj$condition)
## subjgap
## objgap 0
## subjgap 1
We will discuss contrast coding in detail in a later chapter, but right now the simple 0,1 coding above—called treatment contrasts—is enough for our purposes.
Thus, what the linear model above gives us is two numbers: the mean object relative reading time (471), and the difference between object and subject relative (-102). We can extract the two coefficients by typing:
## (Intercept) conditionsubjgap
## 471 -102
In the vocabulary of linear modeling, the first number is called the intercept, and the second one is called the slope. Note that the meaning of the intercept and slope depends on the ordering of the factor levels. We can make the sample mean of the subject relative represent the intercept:
## reverse the factor level ordering:
bysubj$condition <- factor(bysubj$condition, levels = c("subjgap",
"objgap"))
contrasts(bysubj$condition)
## objgap
## subjgap 0
## objgap 1
Now, the intercept is the mean of the subject relatives, and the slope is the difference between object and subject relatives reading times. Note that the sign of the t-value has changed—the sign depends on the contrast coding.
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 369.1 31.13 11.857 1.819e-19
## conditionobjgap 102.3 44.02 2.324 2.263e-02
Let’s switch back to the original factor level ordering:
bysubj$condition <- factor(bysubj$condition, levels = c("objgap",
"subjgap"))
contrasts(bysubj$condition)
## subjgap
## objgap 0
## subjgap 1
In mathematical form, the model can now be stated as a single equation:
\[\begin{equation} rawRT = \beta_0 + \beta_1 condition + \varepsilon \end{equation}\]
where
- condition is a 0,1 coded vector, with object relatives coded as 0, and subject relatives coded as 1.
- \(\beta_0\) is the mean for the object relative (which is coded as 0)
- \(\beta_1\) is the amount by which the object relative mean must be changed to obtain the mean for the subject relative.
- \(\varepsilon\) is the noisy variation from trial to trial around the means for the two conditions, represented by \(Normal(0,213)\).
The null hypothesis of scientific interest here is always with reference to the slope, that the difference in means between the two relative clause types \(\beta_1\) is:
\(H_0: \beta_1 = 0\)
The t-test value printed out in the linear model is simply the familiar t-test formula in action:
\[\begin{equation} obs.t = \frac{\beta_1 - 0}{SE} \end{equation}\]
The intercept also has a null hypothesis associated with it, namely that \(H_0: \beta_0 = 0\). However, this null hypothesis test is of absolutely no interest for us. This hypothesis test is reported by the lm() function only because the intercept is needed for technical reasons, to be discussed later.
The contrast coding mentioned above determines the meaning of the \(\beta\) parameters:
bysubj$condition <- factor(bysubj$condition, levels = c("objgap",
"subjgap"))
contrasts(bysubj$condition)
## subjgap
## objgap 0
## subjgap 1
When discussing linear models, we will make a distinction between the unknown true means \(\beta_0, \beta_1\) and the estimated mean from the data \(\hat\beta_0, \hat\beta_1\). The estimates that we have from the data are:
- Estimated mean object relative processing time: \(\hat\beta_0=471\) .
- Estimated mean subject relative processing time: \(\hat\beta_0+\hat\beta_1=471+-102=369\).
References
Grodner, Daniel, and Edward Gibson. 2005. “Consequences of the Serial Nature of Linguistic Input.” Cognitive Science 29: 261–90.


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MasterScan
Lab_Matlab_control Master Branch
|
Manage state and logical behaviors for the "SquareTag" task.
SquareTagLogic is the logical "back end" of the SquareTag task. It manages things like the number of squares involved in the task and how far along each trial has progressed.
SquareTagLogic keeps track of task geometry, such as where the various squares are and where the subject is currently pointing. But it only represents geometry within unitless square, with location [0 0] and dimensions [1 1]. It doesn't know anything about how to draw graphics on the screen or how to read where the subject is pointing.
SquareTagLogic knows a lot about what to do, but it doesn't know when do anything. It's up to some other function or class to invoke SquareTagLogic behaviors in corrdination with things like graphics and subject inputs.
Properties and Events | |
| Property | name = '' |
| a name to identify a SquareTag session | |
| Property | time = 0 |
| a time to identify a SquareTag session | |
| Property | nTrials = 2 |
| how many trials per session | |
| Property | nSquares = 3 |
| number of squares that the subject must tag | |
| Property | minSide = 0.05 |
| mimimum side length for a square | |
| Property | maxSide = 0.1 |
| maximum side length for a square | |
| Property | tagOutput = 'tagged' |
| string indicating that the user tagged the correct square | |
| Property | missOutput = 'missed' |
| string indicating that the user tagged an incorrect square | |
| Property | nextOutput = 'ready' |
| string indicating that there's another square to be tagged | |
| Property | doneOutput = 'done' |
| string indicating that there are no more squares to tag | |
Protected Properties | |
| Property | squarePositions |
| nx4 matrix of square positions, with rows [x y w h] | |
| Property | currentTrial |
| running count of trials in a session | |
| Property | squareMisses |
| running count of missed squares in a trial | |
| Property | currentSquare |
| index of the current square in a trial | |
| Property | cursorLocation |
| location of the subjcet's cursor [x y] | |
| Property | cursorMap |
| topsClassification maps cursor position to "tagged" or "missed" | |
Methods | |
| self | SquareTagLogic (name, time) |
| Make a new logic object. | |
| startSession (self) | |
| Initialize for a new SquareTag session. | |
| finishSession (self) | |
| Finish up after SquareTag session. | |
| startTrial (self) | |
| Initialize for a new SquareTag trial. | |
| restartTrial (self) | |
| Start a trial over when the subject misses. | |
| finishTrial (self) | |
| Finish up after SquareTag trial. | |
| makeSquares (self) | |
| Choose a new random position for each square. | |
| output | nextSquare (self) |
| Increment the current square in a trial. | |
| updateCursorMapRegions (self) | |
| Update cursorMap to use new squarePositions. | |
| setCursorLocation (self, location, xy) | |
| Set the subject's cursor location in unitless space. | |
| location | getCursorLocation (self, xy) |
| Get the subject's cursor location in unitless space. | |
| status | getStatus (self) |
| Summarize the current status of the session in a struct. | |


title=My talk on Spring Integration At TheServerSide.com '09 date=2009-06-15 type=post tags=blog status=published ~~~~~~
I did a talk waaay back in March on Spring Integration for TheServerSide Symposium. If you're into Spring and want an hours worth of good wholesome ESB fun, may I humbly suggest you check out the talk. I'd love to know what you think so please feel free to leave a comment!


{% else %}
{% endif %}
{% if chatuser %}
Chatify ErlChat is a simple chat server built using the Brubeck messaging framework Chicago Boss web framework. Leveraging the power of Python and Gevent Erlang and OTP make building a scalable chat server simple and fun. Check out the source code here.
{% else %}
{% endif %}
{% endif %}


I wouldn't say Transformers 2 was the dumbest movie I've seen, but, um, like... cool, exploding robots!
7/16/2009, 8:51:37 PM
Favs: 0
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link--- layout: tweet ---
I wouldn't say Transformers 2 was the dumbest movie I've seen, but, um, like... cool, exploding robots!
7/16/2009, 8:51:37 PM
Favs: 0
Retweets: 0
link


Prototype Web monetization Tool for hiding preview of tracks / audio element unless user is Web Monetized.
By Chris Godber


Welcome to Shayne
An app generated by GPT-4
Type your text below, and it will be displayed in Comic Sans:
Submit


The Black Knight concept came about as Arthur and his faithful knights of Camelot began to disagree on matters that were imperative to the survival of the great kingdom of Camelot. Each knight would argue their reasons and often those reasons while seemingly the right course of action, would cause them to stray from the Code of Chivalry that bound them in their brotherhood. Thus, the idea of the Black Knight became more and more popular with Arthur and his advisors.
The concept of the Black Knight was basically very simple. A knight who was bound only by the Code of Chivalry and who would owe allegience to no man nor kingdom. Of course Arthurs knights balked at the idea of a Rogue Knight until to them was explained the true nature of this Black Clad Warrior. In truth, the Black Knight was only a symbol. His armor was worn and shared between the greatest of Arthurs Knights to combat evil and wickedness when royal reason and proclomations could not prevail. Each of the kings knights took a turn, according to his best skills and would appear as the Black Knight to bring justice and law soley according to the Code of Chivalry, reguardless of the laws of kingdom or man. The Black Knight was truly the Champion of Right and Justice. This was his mantra and battle cry.
Black Knight would serve only humanity. No kings nor their armies would be allowed to sway the knight from his duty to his fellow man. According to this method, the Black Knight would immediately be labeled a rogue by many kings and their minions but Arthur persisted. He believed that if his faithful knights would share the role of this black clad warrior in secret that the honor and glory attained by the Black Knight would not only never be forgotten, but the position would never be misused for personal gain. Black was chosen as the knights creed and color because it is a nuetral color with no ties to king or kingdom, and also it led to an air of mystery that surrounds this figure to this very day.
For more information about the Code of Chivalry visit Code of Chivalry


My Team
Sandra
Manager
ID: 1
Email:
<EMAIL_ADDRESS>Office Number: 1111111
Kate
Engineer
ID: 123
Email:
<EMAIL_ADDRESS>Github:
katemilano
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ID: 124
Email:
<EMAIL_ADDRESS>Github:
samathaengineer
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Engineer
ID: 1222
Email:
<EMAIL_ADDRESS>Github:
sallyengineer
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Intern
ID: 12344
Email:
<EMAIL_ADDRESS>School: NC State
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Intern
ID: 12345
Email:
<EMAIL_ADDRESS>School: UNC


|
ovs all
|
Open vSwitch on Linux uses autoconf and automake for generating Makefiles. It will be useful to maintain the same build system while compiling on Windows too. One approach is to compile Open vSwitch in a MinGW environment that contains autoconf and automake utilities and then use Visual C++ as a compiler and linker.
The following explains the steps in some detail.
This should install mingw at C: and msys at C:. Add "C:\MinGW\bin" and "C:\Mingw\msys\1.0\bin" to PATH environment variable of Windows.
You can either use the MinGW installer or the command line utility 'mingw-get' to install both the base packages and additional packages like automake and autoconf(version 2.68).
Also make sure that /mingw mount point exists. If its not, please add/create the following entry in /etc/fstab - 'C:/MinGW /mingw'.
It is important to get the Visual Studio related environment variables and to have the $PATH inside the bash to point to the proper compiler and linker. One easy way to achieve this is to get into the "Developer Command prompt for visual studio" and through it enter into the bash shell available from msys by typing 'bash –login'.
If after the above step, a 'which link' inside MSYS's bash says, "/bin/link.exe", rename /bin/link.exe to something else so that the Visual studio's linker is used. You should also see a 'which sort' report "/bin/sort.exe".
If you pulled the sources directly from an Open vSwitch Git tree, run boot.sh in the top source directory:
% ./boot.sh
In the top source directory, configure the package by running the configure script. You should provide some configure options to choose the right compiler, linker, libraries, Open vSwitch component installation directories, etc. For example,
% ./configure CC=./build-aux/cccl LD="`which link`" \ LIBS="-lws2_32 -liphlpapi" –prefix="C:/openvswitch/usr" \ –localstatedir="C:/openvswitch/var" –sysconfdir="C:/openvswitch/etc" \ –with-pthread="C:/pthread"
By default, the above enables compiler optimization for fast code. For default compiler optimization, pass the "--with-debug" configure option.
Run make for the ported executables in the top source directory, e.g.:
% make
For faster compilation, you can pass the '-j' argument to make. For example, to run 4 jobs simultaneously, run 'make -j4'.
Note: MSYS 1.0.18 has a bug that causes parallel make to hang. You can overcome this by downgrading to MSYS 1.0.17. A simple way to downgrade is to exit all MinGW sessions and then run the command 'mingw-get upgrade msys-core-bin=1.0.17-1' from MSVC developers command prompt.
To run all the unit tests in Open vSwitch, one at a time:
% make check
To run all the unit tests in Open vSwitch, up to 8 in parallel:
% make check TESTSUITEFLAGS="-j8"
To install all the compiled executables on the local machine, run:
% make install
The above command will install the Open vSwitch executables in C:/openvswitch. You can add 'C:' and 'C:' to Windows' PATH environment variable for easy access.
To get SSL support for Open vSwitch on Windows, do the following:
Note down the directory where OpenSSL is installed (e.g.: C:/OpenSSL-Win32).
% ./configure CC=./build-aux/cccl LD="`which link`" \ LIBS="-lws2_32 -liphlpapi" --prefix="C:/openvswitch/usr" \ --localstatedir="C:/openvswitch/var" --sysconfdir="C:/openvswitch/etc" \ --with-pthread="C:/pthread" --enable-ssl --with-openssl="C:/OpenSSL-Win32"
% ./configure CC=./build-aux/cccl LD="`which link`" \ LIBS="-lws2_32 -liphlpapi" --prefix="C:/openvswitch/usr" \ --localstatedir="C:/openvswitch/var" --sysconfdir="C:/openvswitch/etc" \ --with-pthread="C:/pthread" --enable-ssl \ --with-openssl="C:/OpenSSL-Win32" --with-vstudiotarget="<target type>" Possible values for "<target type>" are: "Debug" and "Release"
Once you have built the solution, you can copy the following files to the target Hyper-V machines.
./datapath-windows/x64/Win8.1Debug/package/ovsext.inf ./datapath-windows/x64/Win8.1Debug/package/OVSExt.sys ./datapath-windows/x64/Win8.1Debug/package/ovsext.cat ./datapath-windows/misc/install.cmd ./datapath-windows/misc/uninstall.cmd
The above path assumes that the kernel module has been built using Windows DDK 8.1 in Debug mode. Change the path appropriately, if a different WDK has been used.
01> Run ./uninstall.cmd to remove the old extension.
02> Run ./install.cmd to insert the new one. For this to work you will have to turn on TESTSIGNING boot option or 'Disable Driver Signature Enforcement' during boot. The following commands can be used: % bcdedit /set LOADOPTIONS DISABLE_INTEGRITY_CHECKS % bcdedit /set TESTSIGNING ON % bcdedit /set nointegritychecks ON
Note: you may have to restart the machine for the settings to take effect.
03> In the Virtual Switch Manager configuration you can enable the Open vSwitch Extension on an existing switch or create a new switch. If you are using an existing switch, make sure to enable the "Allow Management OS" option for VXLAN to work (covered later).
The command to create a new switch named 'OVS-Extended-Switch' using a physical NIC named 'Ethernet 1' is: % New-VMSwitch "OVS-Extended-Switch" -AllowManagementOS $true \ -NetAdapterName "Ethernet 1"
Note: you can obtain the list of physical NICs on the host using 'Get-NetAdapter' command.
04> In the properties of any switch, you should should now see "Open vSwitch Extension" under 'Extensions'. Click the check box to enable the extension. An alternative way to do the same is to run the following command: % Enable-VMSwitchExtension "Open vSwitch Extension" OVS-Extended-Switch
Note: If you enabled the extension using the command line, a delay of a few seconds has been observed for the change to be reflected in the UI. This is not a bug in Open vSwitch.
The following steps assume that you have installed the Open vSwitch utilities in the local machine via 'make install'.
01> Create the database. % ovsdb-tool create C:.db \ C:.ovsschema
02> Start the ovsdb-server and initialize the database. % ovsdb-server -vfile:info –remote=punix:db.sock –log-file –pidfile \ –detach % ovs-vsctl –no-wait init
If you would like to terminate the started ovsdb-server, run: % ovs-appctl -t ovsdb-server exit
(Note that the logfile is created at C:/openvswitch/var/log/openvswitch/)
03> Start ovs-vswitchd. % ovs-vswitchd -vfile:info –log-file –pidfile –detach
If you would like to terminate the started ovs-vswitchd, run: % ovs-appctl exit
(Note that the logfile is created at C:/openvswitch/var/log/openvswitch/)
04> Create integration bridge & pif bridge % ovs-vsctl add-br br-int % ovs-vsctl add-br br-pif
NOTE: There's a known bug that running the ovs-vsctl command does not terminate. This is generally solved by having ovs-vswitchd running. If you face the issue despite that, hit Ctrl-C to terminate ovs-vsctl and check the output to see if your command succeeded.
NOTE: There's a known bug that the ports added to OVSDB via ovs-vsctl don't get to the kernel datapath immediately, ie. they don't show up in the output of "ovs-dpctl show" even though they show up in output of "ovs-vsctl show". In order to workaround this issue, restart ovs-vswitchd. (You can terminate ovs-vswitchd by running 'ovs-appctl exit'.)
05> Dump the ports in the kernel datapath % ovs-dpctl show
Sample output is as follows:
% ovs-dpctl show system-system: lookups: hit:0 missed:0 lost:0 flows: 0 port 2: br-pif (internal) <<< internal port on 'br-pif' bridge port 1: br-int (internal) <<< internal port on 'br-int' bridge
06> Dump the ports in the OVSDB % ovs-vsctl show
07> Add the physical NIC and the internal port to br-pif.
In OVS for Hyper-V, we use 'external' as a special name to refer to the physical NICs connected to the Hyper-V switch. An index is added to this special name to refer to the particular physical NIC. Eg. 'external.1' refers to the first physical NIC on the Hyper-V switch.
Note: Currently, we assume that the Hyper-V switch on which OVS extension is enabled has a single physical NIC connected to it.
Interal port is the virtual adapter created on the Hyper-V switch using the 'AllowManagementOS' setting. This has already been setup while creating the switch using the instructions above. In OVS for Hyper-V, we use a 'internal' as a special name to refer to that adapter.
% ovs-vsctl add-port br-pif external.1 % ovs-vsctl add-port br-pif internal
Dumping the ports should show the additional ports that were just added. Sample output shows up as follows:
% ovs-dpctl show system-system: lookups: hit:0 missed:0 lost:0 flows: 0 port 4: internal (internal) <<< 'AllowManagementOS' adapter on Hyper-V switch port 2: br-pif (internal) port 1: br-int (internal port 3: external.1 <<< Physical NIC
% ovs-vsctl show a56ec7b5-5b1f-49ec-a795-79f6eb63228b Bridge br-pif Port internal Interface internal Port br-pif Interface br-pif type: internal Port "external.1" Interface "external.1" Bridge br-int Port br-int Interface br-int type: internal
08> Add the VIFs to br-int
Adding VIFs to openvswitch is a two step procedure. The first step is to assign a 'OVS port name' which is a unique name across all VIFs on this Hyper-V. The next step is to add the VIF to the ovsdb using its 'OVS port name' as key.
08a> Assign a unique 'OVS port name' to the VIF
Note that the VIF needs to have been disconnected from the Hyper-V switch before assigning a 'OVS port name' to it. In the example below, we assign a 'OVS port name' called 'ovs-port-a' to a VIF on a VM by name 'VM1'. By using index 0 for '$vnic', the first VIF of the VM is being addressed. After assigning the name 'ovs-port-a', the VIF is connected back to the Hyper-V switch with name 'OVS-HV-Switch', which is assumed to be the Hyper-V switch with OVS extension enabled.
Eg: % import-module .\datapath-windows\misc\OVS.psm1 % $vnic = Get-VMNetworkAdapter <Name of the VM> % Disconnect-VMNetworkAdapter -VMNetworkAdapter $vnic[0] % $vnic[0] | Set-VMNetworkAdapterOVSPort -OVSPortName ovs-port-a % Connect-VMNetworkAdapter -VMNetworkAdapter $vnic[0] \ -SwitchName OVS-Extended-Switch
08b> Add the VIFs to br-int in ovsdb
Eg: % ovs-vsctl add-port br-int ovs-port-a
09> Verify the status % ovs-dpctl show system-system: lookups: hit:0 missed:0 lost:0 flows: 0 port 4: internal (internal) port 5: ovs-port-a port 2: br-pif (internal) port 1: br-int (internal port 3: external.1
% ovs-vsctl show 4cd86499-74df-48bd-a64d-8d115b12a9f2 Bridge br-pif Port internal Interface internal Port "external.1" Interface "external.1" Port br-pif Interface br-pif type: internal Bridge br-int Port br-int Interface br-int type: internal Port "ovs-port-a" Interface "ovs-port-a"
The Windows Open vSwitch implementation support VLAN tagging in the switch. Switch VLAN tagging along with patch ports between 'br-int' and 'br-pif' is used to configure VLAN tagging functionality between two VMs on different Hyper-Vs. The following examples demonstrate how it can be done:
01> Add a patch port from br-int to br-pif % ovs-vsctl add-port br-int patch-to-pif % ovs-vsctl set interface patch-to-pif type=patch \ options:peer=patch-to-int
02> Add a patch port from br-pif to br-int % ovs-vsctl add-port br-pif patch-to-int % ovs-vsctl set interface patch-to-int type=patch \ options:peer=patch-to-pif
03> Re-Add the VIF ports with the VLAN tag % ovs-vsctl add-port br-int ovs-port-a tag=900 % ovs-vsctl add-port br-int ovs-port-b tag=900
The Windows Open vSwitch implementation support VXLAN and STT tunnels. To add tunnels, the following steps serve as examples.
Note that, any patch ports created between br-int and br-pif MUST be beleted prior to adding tunnels.
01> Add the tunnel port between <IP_ADDRESS> <-> <IP_ADDRESS> % ovs-vsctl add-port br-int tun-1 % ovs-vsctl set Interface tun-1 type=port-type % ovs-vsctl set Interface tun-1 options:local_ip=<IP_ADDRESS> % ovs-vsctl set Interface tun-1 options:remote_ip=<IP_ADDRESS> % ovs-vsctl set Interface tun-1 options:in_key=flow % ovs-vsctl set Interface tun-1 options:out_key=flow
02> Add the tunnel port between <IP_ADDRESS> <-> <IP_ADDRESS> % ovs-vsctl add-port br-int tun-2 % ovs-vsctl set Interface tun-2 type=port-type % ovs-vsctl set Interface tun-2 options:local_ip=<IP_ADDRESS> % ovs-vsctl set Interface tun-2 options:remote_ip=<IP_ADDRESS> % ovs-vsctl set Interface tun-2 options:in_key=flow % ovs-vsctl set Interface tun-2 options:out_key=flow
Where port-type is the string stt or vxlan
Open vSwitch daemons come with support to run as a Windows service. The instructions here assume that you have installed the Open vSwitch utilities and daemons via 'make install'. The commands shown here can be run from MSYS bash or Windows command prompt.
Create the database.
% ovsdb-tool create C:/openvswitch/etc/openvswitch/conf.db \ "C:/openvswitch/usr/share/openvswitch/vswitch.ovsschema"
Create the ovsdb-server service and start it.
% sc create ovsdb-server binpath="C:/openvswitch/usr/sbin/ovsdb-server.exe C:/openvswitch/etc/openvswitch/conf.db -vfile:info --log-file --pidfile --remote=punix:db.sock --service --service-monitor"
One of the common issues with creating a Windows service is with mungled paths. You can make sure that the correct path has been registered with the Windows services manager by running:
% sc qc ovsdb-server
Start the service.
% sc start ovsdb-server
Check that the service is healthy by running:
% sc query ovsdb-server
Initialize the database.
% ovs-vsctl –no-wait init
Create the ovs-vswitchd service and start it.
% sc create ovs-vswitchd binpath="C:/openvswitch/usr/sbin/ovs-vswitchd.exe --pidfile -vfile:info --log-file --service --service-monitor"
% sc start ovs-vswitchd
Check that the service is healthy by running:
% sc query ovs-vswitchd
To stop and delete the services, run:
% sc stop ovs-vswitchd % sc stop ovsdb-server % sc delete ovs-vswitchd % sc delete ovsdb-server
AppVeyor (appveyor.com) provides a free Windows autobuild service for opensource projects. Open vSwitch has integration with AppVeyor for continuous build. A developer can build test his changes for Windows by logging into appveyor.com using a github account, creating a new project by linking it to his development repository in github and triggering a new build.


[RRR-41] Trail of urls to let the user go backwards | |
| Status: | Closed |
| Project: | ReportRunner |
| Component/s: | Web Wizard |
| Affects Version/s: | |
| Fix Version/s: | 0.3 |
| Type: | Improvement | Priority: | Major |
| Reporter: | Henri Yandell | Assignee: | Henri Yandell |
| Resolution: | Fixed | ||
| Environment: |
| Description |
| Need to have a breadcrumbs of sorts so someone can go back to the front, or back a step. |
| Comment by bayard [ Fri, 19 Nov 2004 15:16:04 -0800 (PST) ] |
| Added. |


io.ktor.routing
类
AndRouteSelector
ConstantParameterRouteSelector
HttpAcceptRouteSelector
HttpHeaderRouteSelector
HttpMethodRouteSelector
OptionalParameterRouteSelector
OrRouteSelector
ParameterRouteSelector
PathSegmentConstantRouteSelector
PathSegmentOptionalParameterRouteSelector
PathSegmentParameterRouteSelector
PathSegmentSelectorBuilder
PathSegmentTailcardRouteSelector
PathSegmentWildcardRouteSelector
Route
RouteSelector
RouteSelectorEvaluation
Routing
RoutingApplicationCall
RoutingApplicationRequest
RoutingApplicationResponse
RoutingBuilderKt
RoutingKt
RoutingPath
RoutingPathSegment
RoutingResolveContext
RoutingResolveResult
枚举
RoutingPathSegmentKind
异常错误
RoutingResolutionException


Upcoming Concerts
JUNE 15
Laura Marling
Bowery Ballroom June 15
JUNE 18
Wilco
Bowery Ballroom June 18
JUNE 22
The National
Bowery Ballroom June 22
JUNE 24
Arcade Fire
Bowery Ballroom June 24
JUNE 29
Hot Chip
Bowery Ballroom June 29
JULY 2
Beirut
Bowery Ballroom July 2
JULY 5
Belle & Sebastian
Bowery Ballroom July 5
JULY 7
Fanfarlo
Bowery Ballroom July 7
JULY 11
The Head & The Heart
Bowery Ballroom July 11
JULY 15
The Black Keys
Bowery Ballroom July 15


Reports patterns in catch blocks that match all types.
catch
Example:
try f() catch { case e => ??? }
After the quick-fixes are applied:
try f() catch { case e: Throwable => ??? }


The Ocean Wolf reproduces sexually by producing multiple eggs. When an organism fertilizes and releases eggs it is called spawning. When the female ocean wolf releases its eggs in the ocean, the male ocean wolf then releases seeds onto the eggs which are very similar to seeds known as milt which is released from male fish. When these ocean wolf eggs hatch they are released into the ocean where they float about until the larvae become full grown ocean wolves.
Possible Genetic Problems
Some ocean wolves are born with birth defects.
Some include sea wolves growing with land fur.
Wolves with land fur tend to die earlier than ocean wolves without fur due to receive traits that are not fully evolved.
Ocean wolves can also grow with damaged gills and can die up to three days after birth.
Ocean wolves can even be born with short fins as a recessive trait.
With short fins the ocean wolf becomes slower than ocean wolves with longer fins.
Meiosis
Meiosis is a process of nuclear division. In this process four haploid daughter cells are formed. Due to the mix of random chromosomes, each daughter cell will be unique. Meiosis is also the process of making the sex cells for reproduction; sperm and eggs. Meiosis is an essential role for reproduction and the species’ survival.
Meiosis
Meiosis is a process of nuclear division. In this process four haploid daughter cells are formed. Due to the mix of random chromosomes, each daughter cell will be unique. Meiosis is also the process of making the sex cells for reproduction; sperm and eggs. Meiosis is an essential role for reproduction and the species’ survival.
Protein Synthesis
Protein synthesis is carried out through a process called translation. The DNA in the cell becomes transcribed into a mRNA (messenger RNA) molecule. In the process of transcription, the mRNA must be translated in order to create a protein. Working together, mRNA and tRNA (transfer RNA) create proteins in the cell. Protein is an essential part of many different parts of an animal's body including the bones, muscle, skin, and blood. Proteins are also used to build and repair damaged tissue and to make enzymes.
Protein Synthesis
Protein synthesis is carried out through a process called translation. The DNA in the cell becomes transcribed into a mRNA (messenger RNA) molecule. In the process of transcription, the mRNA must be translated in order to create a protein. Working together, mRNA and tRNA (transfer RNA) create proteins in the cell. Protein is an essential part of many different parts of an animal's body including the bones, muscle, skin, and blood. Proteins are also used to build and repair damaged tissue and to make enzymes.


Credits
100% percent of the information content belongs to other parties. NONE of the content belongs to Diego Hernandez. The
purpose of the site is to provide a simple example of HTML and CSS to build websites. Diego does not own
any of the informational content or images used on this site.
Sources:
FIFA World Cup Wikipedia Page
Women's World Cup Wikipedia Page
The Fact Site


The objective of this application was to change a circa 2014 styled AngularJS application and update it with some newer syntax. With the introduction of the newest browsers, ES2015 classes are easily used without the need for Babel or other transpiler tooling. With that in mind, we were able to remove the inline function and parameter requirements and fully replace it with a simple class.
In addition, we've taken the controller as syntax and alised $scope with VM in the routing section of the app.js file. With this, we're able to avoid using $scope in the controller and are able to use both `this` for properties and non defined functions in the class, just as you would expect an ES2015 class to work.
The reason we have the angular.module last inside out controller files is becaue ES2015 Classes are not hoisted so if the are referenced before we define them we get a reference error.
You'll notice that this class and angular module are wrapped with an Immediately-Invoked Function Expression, or IIFE for short. Technically, you probably don't need an IFFE around this code but since we're still using AngularJS and it is possible for code to accessible across the application it's probably not a bad practice. If you move onto Angular 2+, this practice is no longer needed since you will be working with ES6 module loading etc. which should prevent code leakage.


Goals
This homework exercise will continue modifying the lab application from this class and allow you to invoke the Delete operation using a swipe gesture on the ListView
.
Assets
This exercise continues where we left off in the class. If you did not have time to complete the final exercise, you can start with the completed project in Part 05 Resources. There is a final, completed project in the Homework folder.
Challenge
This exercise takes the application you worked with in the class and adds support to invoke the "delete" operation through a swipe gesture.
Here are the basic steps you will go through:
-
Add a new
MenuItem
to theContextActions
collection on theImageCell
.-
Add a
Clicked
handler named OnDelete. -
Set the
Text
to "Delete". -
Set the
IsDestructive
property to "True".
-
Add a
-
Implement the OnDelete logic - it should share the core logic from your existing code that prompts and then deletes a contact. You can get the correct
Flag
object through the passedMenuItem
'sBindingContext
. - Run the application, on iOS you can get the menu by swiping to the left, on Android and UWP, it's a long-press action. It should looks something like this:
Summary
Congratulations! In this homework exercise you have added a more convenient way to delete contacts.


| Name : MR. BALASUBRAMANYAM | Reg No: 07-11SMMHC17////05-12SMHCH15 |
|---|---|
| Age / Sex: 43/M | Contact No :9448713920 |
| Marital Status :ML- 15 YRS | Date :05-12-15 |
| Occupation : SCIENTIST IN R&D. GEO SCIENTIST ( PHD.GEOPHYSICS) SINCE 20 YEARS. | Dr. PJFP |
Address : NATIVE OF VELORE. IN BLORE- 1 YEAR. BEFORE IN KGF – 20 YEARS. |
BURNING SENSATION IN THE OESOPHAGUS REGION. IF FEELS HUNGRY IMM FEELS GAS BUILDING UP. AT THAT TIME FEELS REGURGITATION OF FOOD. SOUR ERUCTATION AT TIMES. GETS PAIN IN THE CHEST TIGHTNESS. SINCE 10 YRS.
HICCUP< SPICY, LAUGH WHILE EATING, BURP,
GETS FLATUS ALSO MORE. FEELS DE ENERGISED AFTER THIS.
DURING COLLEGE DAYS USE TO FEEL EXTREME HUNGRY DUE TO IRREGULAR MEAL TIMINGS.
LEFT SIDE FEELS MORE SENSITIVE EVEN IF ANYONE RUBS OR EXPOSESTO COLD AIR OR GETS ANGRY FEELS UNEASY MORE ON THE LEFT SIDE.
PAST H/O: - LAST YR HERPES ZOSTER.
PNEUMONIA – 10 YRS- 12 YRS
LEFT MEDIAL MALLEOLUS USE TO GET ITCHING AT THE AGE OF ON AND OFF.
PARASITE ATTACK DURING FIELD WORK 2011 IN DANDELI.
2004- CEREBRAL OEDEMA DUE TO A FALL AFTER FEVER. REMEMBERS ONLY HIS SUBJECT .BT FORGOT TEMP MEMORY LOSS ABOUT WIFE AND CHILDREN. REMEMBERS ONLY NUMBERS AND SUBJECT. FR 6 MONTHS.
ANKLE FRACTURE – 2010.
EYE INFECTION – IN SEPT. GOT LASER EYE TRTMNT IN OCT.
PERSONAL H/O: LIKES WARMTH.
EASILY PRONE TO THROAT INFECTION. SPUTUM IMM. FROM LAST 2-3 YRS NO COLD FEVER .
CHRONIC SINUSITIS NOW CURED.STRTED AT 5TH STD. HOMOEO RX FOR 2-3 YRS.
GETS NOW ONLY IF EXPOSES TO VERY CHILL WND AND HEADBATH AND DOESN’T DRY HAIR.
RX: 1) LYCO 200 – 2 DOSES – WEEKLY B/FOOD.
CV 30 – 4 PILLS SOS.
BIO GASTRITIC TABS
PHYTUM 15 TABS- NT B/FOOD.
NUX VOM 30 – NT B/FOOD.
26/11/17: 2 weeks before had feverish feelong not felt outside. Always sleepy. 2 days without med. Tiredness not coming down. took reg course antibiotics n dolo.from Friday went in ac mng felt happy but evening again felt feverish. Next mng yellowish sputum. Shivering feeling cold. Not felt outside. Today mng onwards no shivering. Rustic smell while coughing , coughs less. Doesn’t feel comfortable while coughing. Mostly white sputum but smtimes yellow. . Sneezing.
General low energy feeling. Wants to cover n sleep. Mng he is very active. Active sunrise to sunset. Desire for sunlight.
Rx:
Selenium 1m – 1 dram pills – 4—4-4-4
Tub 1m -2 doses weekly.
Stannum met 200 – 1 dram pills 4-4-4-4
C.veg 30+bell30 2 dram pills. -- 4 pills sos shivering.
Rubrum 15 – 1 dose night b/food. Night.
3/1/18: 80% BETTER THAN BEFORE. PHLEGM IS COMING 3-4 TIMES IN A DAY. LUMP ONCE.NOW WHITE PHLEGM ONLY. IN NOSE FEELS RUNNING NOSE BUT ACTUALLY DOESN’T COME OUT. TEND TO SNEEZE MORE BECAUSE OF THAT. BETTER IN WEAKNESS. AUNT HAD SOME LUNG ISSUE AT 77 YEARS AND DIED. MOTION MUS GO 2-3 TIMES. OVER A PERIOD OF 2 HOURS. HAS SOME RASH ON THE LEFT LEG. ONLY IN BLORE . CHENNAI AND OTHER PLACES BETTER. OILING BETTER.
RX:
ALFALFA+AVENA Q 10-10-10 DROPS A/FOOD.
LYCO 200 4-4-4-4
SELENIUM 1M 4-4-4-4
BELL 30 + SPONGIA 30 – DISC 4-0-4 B/FOOD.
RUB 15 1 DOSE NT B/FOOD.
5/4/18: LAST THU GOT HIS WISDOM TOOTH EXTRACTION AS IT WAS HORIZONTAL. TOOJ ANTIBIOTICS 5 DAYS. NW GETTING OPERATED. FEELS ON THE EITHER SIDE OF THE THROAT BLOCKED FEELING. TONSILLITIS. EXTENDING TO EAR PAIN. ATE ICE CREAM AFTER WHICH THIS PBM PROPPED UP. BODY PAIN. EVENING FEVER. JOINTS PAIN. PULING SENSATION IN THROAAT TO SIDES. UNCOMFORTABE FEELING NEEDS TO STRETCH <SWALLOW AIR, DEEP BREATHING. EAR CONSTANT PAIN SINCE 10-11. SLEEP FEELS BETTER.
RX:
BELLADONNA 200+ HYPERICUM200 + MAG PHOS 30 –2 DRAM PILLS 4 PILLS 2 HOURLY.
MAG CARB200 – DISC 3-0-3
SIL 200 DISC 3-0-3 B/FOOD.
 Like pulling and caught type of pain. feverish and body pain. from morning inspiration pain in chest and salivaswallowing pain in ear. Sleep means no pain. <sitting.
Rx:
Staphysagria 1m – 1 dose.
Cantharis 200+merc 200+lach 200 – 4 pills hourly fro 1 day and 2 hourly fr 2 days.


Representation in Psychology
I had long been confused about the concept of representation as it appears in psychology, most because it had been rather poorly taught and vaguely explained in my undergraduate years. I even remember remarking in an animal cognition course about how psychologist’s don’t seem to have a unified sense of what “representation” means. More recently the idea has become much clearer (for me), in particular after reading through Gallistel’s book The Organization of Learning. There he identified representation psychologically with representation mathematically, which I think buys you a lot.
Representation, along with computation, is a word that does a lot of theoretical heavy lifting in psychology and neuroscience. In neuroscience the focus is on understanding how the brain “represents” external stimuli, values, actions, or memory, and is generally investigated using decoding and encoding principals.
For example, if you want to know how the brain represents some visual stimuli \(S\), you can perform brain recordingsI’m being flippant here about what I mean by ‘brain recording’, so take this as a first approximation. to get brain state \(B\) and try to infer \(P(B \mid S)\). This is encoding - predicting brain activity from some external stimuliThere’s another notion of encoding and decoding that is brain centric, but they are highly related - and one of the major goals of a lot of neuroimaging.
To be clear, what we get out of this kind of analysis is a prediction. We don’t necessarily get the result “this brain state represents the stimuli”, but we do get “this brain state is predictable from this stimuli”, which is related. While there’s more to discuss in understanding brain representations, we haven’t clarified what we mean by representation in the first place.
What can help us, oddly enough, is by trying to get more abstract and not even refer to the brain. What do we mean mathematically when we talk about representation? If we have a mathematical model of something in the world, where certain variables represent particular world states, factors, or concepts, we’re talking about a relationship between the world and our symbols. This relationship can be considered a function, where we take some world state \(S\) and map it to a model variable \(V\) using some relationship \(S \rightarrow M\) where that arrow maps elements from \(S\) into \(V\). This mapping should be homomorphic, meaning that it also preserves the operations of each group. So, if things change in the world, they should change in the same way in the model.
Similar ideas formalizing measurement had been developed by early mathematical psychologists, such as Duncan Luce, and Gallistel used these ideas to preface his discussion of a computational explanation of behavior. Computation, following this idea, is the transformation of one representation into another. Information processing in the brain or mind consists of these transformations of representations in the service of performing actions to satisfy goals.
Simple enough.
What I appreciate is how grounded these are mathematically, which makes it much easier to relate to modeling efforts and data analysis. Of course this is also just the theoretical beginning, but it definitely has helped clarify representations for me at least.
April 8, 2017


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ajaxForm Example - TinyValidate jQuery Plugin
View source to see how to call the tinyvalidate method.
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1.1.1 - the ionosphere branch¶
v1.1.1-beta-ionosphere - Feb 25, 2017
Added learning via features extracted using https://github.com/blue-yonder/tsfresh/releases/tag/v0.4.0 Dedicated to my father, Derek, a man of numbers if there ever was one.
Corrected sum_common_values column name
Remove needs_sphinx for RTD
needs_sphinx = ‘1.3.5’ for RTD
0 should be None as this was causing an error if the full_duration is not in the features_profile_details_file, which it was not for some reason.
Added metric_check_file and ts_full_duration is needed to be determined and added the to features_profile_details_file as it was not added here on the 20170104 when it was added the webapp and ionosphere - so added to features_profile.py
Added all_fp_ids and lists of ionosphere_smtp_alerter_metrics and ionosphere_non_smtp_alerter_metrics to ionosphere.py so to only process ionosphere_smtp_alerter_metrics
Added lists of smtp_alerter_metrics and non_smtp_alerter_metrics to analyzer.py so to only process smtp_alerter_metrics
Restored the previous redis_img_tag method as some smtp alerts were coming without a Redis graph, not all but some and for some reason, I am pretty certain retrospectively that it was done that way from testing I just wanted to try and be cleaner.
Added all_calc_features_sum, all_calc_features_count, sum_calc_values, common_features_count, tsfresh_version to SQL
Added details of match anomalies for verification
Added all_calc_features_sum, all_calc_features_count, sum_calc_values, common_features_count, tsfresh_version to ionosphere.py and SQL
Added graphite_matched_images|length to features_prfile.html
More to do in webapp context to pass verfication values
Added graphite_matched_images context and matched.fp_id to skyline_functions.get_graphite_metric
Added graphite_matched_images context and db operations to ionosphere_backend.py (geez that is a not of not DRY on the DB stuff)
Added graphite_matched_images gmimages to webapp and features_profile.html and ported the training_data.html image order method to features_profile.html
Done to the The White Stripes Live - Under Nova Scotian Lights Full https://www.youtube.com/watch?v=fpG8-P_BpcQ I was tried of Flowjob https://soundcloud.com/search/sounds?q=flowjob&filter.duration=epic which a lot of Ionosphere has been patterned to.
Fixed typo in database.py
Added ionosphere_matched update to ionosphere.py
Un/fortunately there is no simple method by which to annotate these Graphite NOW graphs at the anomaly timestamp, if these were from Grafana, yes but we cannot add Grafana as a dep :) It would be possible to add these using the dygraph js method ala now, then and Panorama, but that is BEYOND the scope of js I want to have to deal with. I think we can leave this up to the operator’s neocortex to do the processing. Which may be a valid point as sticking a single red line vertical line in the graphs ala Etsy deployments https://codeascraft.com/2010/12/08/track-every-release/ or how @andymckay does it https://blog.mozilla.org/webdev/2012/04/05/tracking-deployments-in-graphite/ would arguably introduce a bias in this context. The neocortex should be able to handle this timeshifting fairly simply with a little practice.
Added human_date to the Graphite graphs NOW block for the above
Exclude graph resolution if matches TARGET_HOURS - unique only
Added ionosphere_matched_table_meta
Standardised all comments in SQL
Added the ionosphere_matched DB table
After debugging calls on the readthedocs build, adding to readthedocs.requirements.txt should solve this
After debugging calls on the readthedocs build, adding to requirements.txt should solve this
Try use setup.cfg install_requires
use os.path.isfile although I am not sure on the path
readthedocs build is failing as they are Running Sphinx v1.3.5 and returns Sphinx version error: This project needs at least Sphinx v1.4.8 and therefore cannot be built with this version.
Added returns to skyline_functions.get_graphite_metric and specific webapp Ionosphere URL parameters for the Graphite NOW graphs
Removed unused get_graphite_metric from skyline/webapp/backend.py
Added get_graphite_metric, the graphite_now png context and retrieving the graphite_now_images at TARGET_HOURS, 24h, 7d and 30d
Removed the reference to #14 from webapp Ionosphere templates
Added order and graphite_now_images block to training_data.html
Added sorted_images for order and graphite_now_images to webapp
Added Grumpy testing to the roadmap
bug on graphite in image match - stats.statsd.graphiteStats.flush_time, but graphite could be in the namespace. So match on .redis.plot and removed the unknown image context as it should not really ever happen...?
Enabled utilities as the files were added
Added the full_duration parameter so that the appropriate graphs can be embedded for the user in the training data page in the webapp context
Added utilities TODO
Removed the buggy skyline_functions.load_metric_vars and replaced with the new_load_metric_vars(self, metric_vars_file) function
Fixes #14
Changed ionosphere_backend.py to the new function
Removed the buggy skyline_functions.load_metric_vars and replaced with the new_load_metric_vars(self, metric_vars_file) function
Fixes #14
Clarified Mirage alert matching in docs
Removed unused things
Added ‘app’ and ‘source’ to string_keys
Added anomalous_value to correct calc_value overwriting value
Added an app alert key ionosphere.%s.alert app alert key
Remove check file is an alert key exists
- Added TODO: ionosphere.analyzer.unique_metrics (at FULL_DURATION)
ionosphere.mirage.unique_metrics (NOT at FULL_DURATION)
Get ionosphere.features_calculation_time Graphite metric working
Correct auth for requests should webapp be called
Cache fp ids for 300 seconds?
Send Ionosphere metrics to Graphite and Reset lists
Minor log bug fix in features_profile.py
Correct rate limitining Ionosphere on last_alert cache key
Added SQLAlchemy engine dispose
Differentiate between Mirage and Ionosphere context in logging not alerting
Do not alert on Mirage metrics, surfaced again as Ionosphere was introduced
Added new new_load_metric_vars to ionosphere to get rid of the skyline_functions load_metric_vars as imp is deprecated in py3 anyway and this should fix #24 as well.
Added THE FIRST to docs
Clarifed log message
Handle refreshing mirage.unique_metrics and ionosphere.unique_metrics
Refactoring some things in ionosphere.py
THE FIRST prod match is at this commit
Added last_checked and checked_count to features profile details to Ionosphere features profile page, feature profile details page.
Added ionosphere last_checked checked_count columns to record the number of times a features profile is checked and when last checked
Ionosphere update checked count and timestamp
int timestamp in the alerters
Set default as 0 on ionosphere matched_count and last_matched
Set default as NULL on ionosphere matched_count and last_matched
Added context in Analyzer
Added in Analyzer added a self.all_anomalous_metrics to join any Ionosphere Redis alert keys with self.anomalous_metrics
Refresh mirage.unique_metrics Redis set
Refresh ionosphere.unique_metrics Redis set
Pushing alerts back to the apps from Ionosphere
Added update SQL
PoCing pushing alerts back to the apps from Ionosphere
Only match features profiles that have the same full_duration
Added the full_duration context to the send_anomalous_metric to Ionosphere in Analyzer, Mirage, skyline_functions and the database which needs to be recorded to allow Mirage metrics to be profiled on Redis timeseries data at FULL_DURATION
Added IONOSPHERE_FEATURES_PERCENT_SIMILAR to validate_settings
Bringing Ionosphere ionosphere_enabled and ionosphere.unique_metrics online
Some flake8 linting
Enable ionosphere metrics in DB if features profile is created
Added more ionosphere functionality, now checking DB features profiles
Determine relevant common features
Calculate percent difference in sums
Added IONOSPHERE_FEATURES_PERCENT_SIMILAR to settings
Use str in alerters Graphite URL for full_duration_in_hours
Added the baselines from tsfresh, they diff the same as 0.3.1
Update to tsfresh-0.4.0 to make use of the new ReasonableFeatureExtractionSettings that was introduced to exclude the computationally high cost of extracting features from very static timeseries that has little to no variation is the values, which results in features taking up to almost 600 seconds to calculate on a timeseries of length 10075 exclude high_comp_cost features.
Added the baselines from tsfresh, diff the same
Use str not int for full_duration_in_hours context in alerts, etc
Updated tsfresh to 0.3.1 not to 0.4.0 as tqdm may not be so great in the mix for now.
Added new v0.3.1 baselines from tsfresh 0.4.0 that were committed at https://github.com/blue-yonder/tsfresh/commit/46eb72c60f35de225a962a4149e4a4e25dd02aa0 They test fine.
Update deps
Send Graphite metrics from mirage and ionosphere
Added stop process after terminate, if any still exist as any terminate called on extract_features calls terminate, but the pid remains, debugging
Added __future__ division to all scopes using division (pep-0238)
Changed to InnoDB from MyISAM as no files open issues and MyISAM clean up, there can be LOTS of file_per_table z_fp_ tables/files without the MyISAM issues. z_fp_ and z_ts_ tables are mostly read and will be shuffled in the table cache as required.
Added some additional logging in ionosphere on the slow hunt to determine why tsfresh extract_features is sometimes just hanging and needs to be killed
Removed p.join from all p.terminate blocks as it hangs there
Added missing app context to features_profile.py
mirage send anomaly timestamp not last timestamp from SECOND_ORDER_RESOLUTION timeseries
Always pass the f_calc time to webapp
Aligned the alerters HTML format
Added the ionosphere context to features_profile.py
Changed to InnoDB from MyISAM as no files open issues and MyISAM clean up, there can be LOTS of file_per_table z_fp_ tables/files without the MyISAM issues. z_fp_ tables are mostly read and will be shuffled in the table cache as required.
Enabled feature calculation on all anomaly checks in ionosphere
Moved features_profile.py to the skyline dir some can be used by the webapp and ionosphere
Decouple ionosphere from the webapp
In ionosphere calculate the features for every anomaly check file, remove to extract features calcuate and wait time from the user.
Corrected assert in test.
Added some notes
Use ast.literal_eval instead of eval
Added tsfresh feature names with ids in list as of tsfresh-0.3.0
Deleted skyline/tsfresh/scripts as is now moved to skyline/tsfresh_features/scripts to stop tsfresh namespace pollution
Moved the tsfresh test resources into tests/baseline to match tsfresh tests methodology.
Added note to ionosphere.py about numpy.testing.assert_almost_equal
Reordered TSFRESH_FEATURES based on the new method.
Adding the meat to Ionosphere bones on the service side, incomplete.
Updated the upgading doc
Added development tsfresh docs on howto upgrade, etc
Added the creation of tsfresh resources to building-documentation.rst
Updated development/ionosphere.rst to reflect tsfresh is not slow
Draft text for ionosphere.rst
Added Ionosphere reference to panorama.rst
Updated path change in tsfresh.rst
Modifications for testing
Added Ionosphere requirements for tsfresh and SQLAlchemy
Added a tsfresh tests
Added a tsfresh-0.3.0 baseline features upon which tsfresh is tested
Added a tsfresh-0.1.2 baseline features upon which tsfresh is tested
Added a baseline timeseries upon which tsfresh is tested
Added IONOSPHERE_PROFILES_FOLDER test
Added tsfresh feature names with ids in list as of tsfresh-0.3.0
Some minor refactors in skyline_functions.py
Added RepresentsInt
Added the ionosphere tables
Moved the Ionosphere settings all to the end in settings.py to make it easier to upgrade
Added some additional Ionosphere settings
Updated to tfresh-0.3.0
Added the SQLAlchemy definitions
Added app.errorhandler(500) to webapp.py traceback rendered nicely by Jinja2 as per https://gist.github.com/probonopd/8616a8ff05c8a75e4601
Added the ionosphere app.route to webapp.py
Minor addition to backend.py log and panorama_anomaly_id request arg
Added Ionosphere to the html templates
Added webapp training_data.html
Added webapp traceback.html which provides the user with real traceback
Added webapp features_profiles.html
Added webapp ionospere_backend.py which works with training data and features profiles data
Added webapp functions to create features profiles
Moved skyline/tsfresh to skyline/tsfresh_features so that it does not pollute the tsfresh namespace
Added generate_tsfresh_features script
Added missing string in panorama.py in the logger.error context
mirage.py refactored quite a bit of the conditional blocks workflow to cater for Ionosphere
Added metric_timestamp to the trigger_alert metric alert tuple and added sent_to_ metrics (analyzer.py and mirage.py) - metric[2]: anomaly timestamp
Added Ionosphere training data timeseries json, redis plot png and Ionosphere training data link to the Analyzer and Mirage alerters.
Mirage alerter creates a Redis timeseries json too - tbd allow user to build features profile on either full Mirage timeseries or on the Redis FULL_DURATION timeseries.
analyzer.py use skyline_functions.send_anomalous_metric_to (self function removed) and some new Ionosphere refactoring
Modified bin scripts to not match the app name in the virtualenv path should the path happen to have the app name string in the path
Corrected webapp bin service string match
Bifurcate os.chmod mode for Python 2 and 3
Fixes https://github.com/earthgecko/skyline/issues/27 - return False if stdDev is 0
Also readded IONOSPHERE_CHECK_MAX_AGE from settings.py as it will be required
Mirage changes include a changed to panorama style skyline_functions load_metric_vars and fail_check
Handle Panorama stampede on restart after not running #26 Added to settings and Panorama to allow to discard any checks older than PANORAMA_CHECK_MAX_AGE to prevent a stampede if desired, not ideal but solves the stampede problem for now - https://github.com/earthgecko/skyline/issues/26
Added the original Skyline UI back as a then tab, for nostalgic and historical reasons.
Bumped to version 1.0.8


Example site using an light mvc framework on top of Servlets
Static resources like this page are placed in the "webapp/" dir. "webapp/static/*" files are directly loaded, while "webapp/*" go through the servlet routing first. Nothing can be placed in "webapp/pages/".


Nicki Anselmo
Portfolio Overview
I hope to highlight some of my interests which include:
- Civic Tech
- Computer Science Education
- Sports + The Outdoors
- Books + Literature
Folks Who Inspire Me
Hover over the book picture to see some of the folks I love to learn from:
Projects I've Worked On - or Want to Work On
Code Nation (Current)
Code Nation is a national non-profit designed to increase access to CS Education - specificaly for students from underresourced communities. I volunteer as a weekend workshop instructor.
Middle School Robotics Team (Past)
Prior to joining Google, I was a developer at Cesar Chavez Elementary School. I started a Code Club and Robotics Team. In our first year, we were the only Chicago Public School team to make it to the state and then national competition. Check us out on Chicago's local news station here.
Weasley Clock (Future)
I don't make time to tinker as much as I should, but I would love for my next project to be this Weasley Clock. I would use Google Maps to determine my location (and my partner's) and ping that to an Arduino which would use servo motors to update a clock. There are some instructions on the web including these from Instructables and these from Adafruit.


The output below will display a URL's parsed components from both the browser's DOM, and from the URL.js project being done for the WHATWG URL spec. The output will be colored dark green unless a difference occurs between the two parsers in which case the affected URL component will be colored red.


Or click here to search by keyword.
Or click here to search by ailment.
All information retrieved from BetterDoctor.com.


Applications
Location
- Press Ubuntu icon button
- Type Ubuntu Software Center
- Click on icon
Settings
- Press Installed button
- Review readme for applications or categories that must be removed
- For each application category (e.g. Accessories)
- Check against readme if it should be removed
- It's safer to leave program alone than to remove it
- To remove application, click on it, then press Remove button


NAME:
AMEY SHIMPI
BRANCH:
ELECTRICAL AND ELECTRONICS
YEAR:
FIRST YEAR BTECH
HOBBIES
playing badminton,cricket,reading books &electronics


13
1 David's son Absalom had a beautiful sister named Tamar. Another of David's sons, Amnon, was attracted to Tamar, with whom he was a half-brother.
2 He wanted to sleep with Tamar very much, so much that he felt sick with desire. But it seemed impossible for Amnon to get her, because she was a virgin, so they kept men away from her.
3 But Amnon had a friend named Jonadab, who was a nephew to David, son of David's brother Shammah. Jehonadab was a very crafty man.
4 One day Jehonadab said to Amnon, "You are the king's son, but every day I see that you seem very depressed. What is your problem?" Amnon replied, "I am in love with Tamar, my half-brother Absalom's sister."
5 Jehonadab said to him, "Lie down on your bed and pretend that you are sick. When your father comes to see you, ask him to let your half-sister Tamar come and give you some food to eat. Ask for her to cook the food while you are watching her. Then she can serve it to you herself."
6 So Amnon lay down and pretended that he was sick. When the king came to see him, Amnon said to him, "I am sick. Please allow Tamar to come and make a couple breadcakes for me while I am watching, and then she can serve them to me."

8 So Tamar went to Amnon's house, where he was lying in bed. She took some dough and kneaded it, and formed them into some breadcakes while he was watching her.  Then he said to his servants in the room, "All the rest of you, leave me!" So they all left.
10 Then Amnon said to Tamar, "Bring the food to my bed and serve it to me." So Tamar took into his room the breadcakes that she had made.
11 But when she brought them close for him to eat them, he grabbed her and said to her, "Come to bed with me!"
12 She replied, "No, do not force me to do such a disgraceful thing! We never do things like that in Israel! That would be shameful!
13 I would not be able to endure being disgraced by having done that. And as for you, everyone in Israel would condemn you for having done such a disgraceful deed. So I plead with you, talk to the king. I am sure that he will allow me to marry you."
14 But he paid no attention to her. He was stronger than she was, so he forced her to sleep with him.
15 Then Amnon hated her very much. He hated her much more than he had desired her. He said to her, "Get up and get out of here!"
16 But she said to him, "No! It would be very wrong for you to send me away. It would be worse than what you just did to me!" But again he paid no attention to her.
17 He summoned his personal servant and said to him, "Take this woman outside, away from me, and lock the door so that she cannot come in again!"
18 So the servant put her outside and locked the door.
 Then she put her hands on her head to show that she was grieving, and she went away crying.
20 Her brother Absalom saw her and said to her, "Has your half-brother Amnon forced you to sleep with him? Please, my sister, do not tell anyone, and do not become depressed." So Tamar went to live in Absalom's house, and she was very sad and lonely.
21 When King David heard about all this, he became very angry.
22 And Absalom hated Amnon, because he had forced his sister to sleep with him, so he would not speak to Amnon about anything.
23 However, two years later, Absalom hired men to shear his sheep at Baal Hazor, which is near the tribal land of Ephraim. They were going to celebrate when they finished shearing the sheep, so Absalom invited all the king's sons to come and celebrate with him.
24 Absalom went to the king and said to him, "Sir, my workers have been shearing my sheep. Please come with your officials to celebrate with us!"
25 But the king replied, "No, my son, it would not be good for all of us to go, because we are so many people; we would cost you too much." Absalom continued urging him, but the king would not go. Instead, he said that he hoped that God would bless them while they celebrated.
26 Then Absalom said, "If you will not go, please allow my half-brother Amnon to go with us." But the king replied, "Why do you want him to go with you?"
27 But Absalom continued to insist, so finally the king permitted Amnon and all David's other sons to go with Absalom.
28 So they all went. At the celebration, Absalom commanded his servants, "Notice when Amnon has become a bit drunk from the wine.  Do not be afraid. You will be doing this only because I told you to do it. So be courageous and do it!"
29 So Absalom's servants did what Absalom told them to do. They killed Amnon. All the rest of David's sons saw what happened and fled, riding on their mules.
30 While they were on their way home, someone quickly went and reported to David, "Absalom has killed all of your other sons. None of them is alive!"
31 The king stood up, tore his clothes because he was extremely sad, and then he threw himself down on the ground. All the servants who were there also tore their clothes.
32 But Jehonadab son of Shammah, David's brother, said, "Your Majesty, I am sure that they have not killed all your sons. I am sure that only Amnon is dead, because Absalom has been determined to do this ever since the day that Amnon raped Tamar.
33 So, your Majesty, do not believe the report that all your sons are dead. I am sure that only Amnon is dead."
34 In the meantime, Absalom ran away.
Just then, a soldier keeping guard on the city wall saw a large crowd of people coming down the hill along the road to the west. He ran and told the king what he had seen.
35 Jonadab said to the king, "Look there! What I told you is true. Your other sons are alive and have come!"
36 And as soon as he said that, David's sons came in. They all started crying, and David and all his officials also cried very much.
37-38 But Absalom had fled. He went to stay with the king of the region of Geshur. His name was Talmai son of Ammihud. Absalom stayed there for three years.
David mourned for his son Amnon for a long time,
39 but after that, he desired very much to see Absalom, because he was no longer grieving about Amnon being dead.


Andrew’s explanations in a disastrous TV interview aired on Saturday left many viewers incredulous.
“It was the fact that he didn’t show any regret for that (friendship with Epstein) or sort of almost any sympathy at all for the people who had been trafficked,” Farage said during a visit to the English city of Peterborough.
Asked whether Andrew had damaged the royal family’s standing, Farage said: “They are all trying to do that apart from the queen.”
“I think the queen just becomes this ever more exalted figure and the public are beginning to look at those who come afterwards with quite a degree of scepticism at the moment,” he said.
Buckingham Palace declined comment on Farage’s remarks.


--- layout: post title: Barefoot Running Humour date: 2009-11-09 14:27:43.000000000 +00:00 tags: - running - barefoot - humour type: post published: true ---
I'm a subscriber to Barefoot Ted's huaraches Google Group, and the other day one of the members started a thread about funny comments and retorts which I thought I'd share in summary:
OrionFyre:
I got stopped by a cop who pulled up along side me to see if I was OK.
"why do you ask?" I say.
"Because you're not wearing shoes..." he replies
I look down at my feet with a look of surprise.
I stand upright and look back the way I had came covering my eyes from the suns glare. In the corner of my eye I see the cop turn around in the car and look back.
"dammit." I mumble aloud
"I knew I should have tied them tighter."
OrionFyre:
Then a nice lady about my mother's age in a van was waiting to turn right when I was crossing She too asks if I was OK. "yeah why?" I ask.
"because you don't have no shoes."
"of course I don't"
"why not?"
"because I traded them for this jacket."
"why would you do that?"
"ummm because it's going to be winter soon and I don't want to get cold..."

"I have shoes on...."  "No I'm not."
I can only imagine the look on his face as I walked away.
OrionFyre:
Cop #2 stops and asks if I'm OK. Alright, now this is getting old....
"yeah I'm OK."
"there a reason you aren't wearing any shoes?"
"of course." I say with a full stop. he looks at me as if to say 'annnnd that reason?' I continue "well my friend diagnosed with herpes so I gave him my shoes." again a full stop
".....O...K...."
"Anything else officer?" he shakes his head no. "have a great day" I say and wave.
Matt Mahoney:
So I'm standing at the start of an open 5K cross country race. "I have this recurring nightmare", I say to the runner next to me, "that I'm standing at the start of a race and just as they are about to say 'go', I realize I forgot my shoes".
I look down at my bare feet.
"But don't worry. I always wake up just before the race starts".
OrionFyre:
I went for a walk/run this morning around the mountain bike course. I saw this guy through the trees catching up to me pretty quick running. I was taking a nice leisurely pace as my feet were sorta sore from 12 miles of walking on concrete and gravel and blacktop yesterday.
He comes up next to me "how ya doin?" he asks. "doing good" I say and smile politely.
"mind if I ask you a question?" he asks, "sure..." I glance down at his shoes. "wait, how come you're wearing shoes!?!?"
He gave me a look like 'OK...'
"no for real" I continue "how come you're wearing shoes?"
"because.... I don't wanna hurt my feet...."
"oh OK... oh sorry, what were you gonna ask?"
"I was gonna ask how come you're barefoot."
"oh that's an easy one." I say with a full stop.
We go about another hundred feet before he prods for more "so why ARE you barefoot."
I shrug "I don't wanna hurt my feet."
And of course my own experience...
The closest I've had was one mum called be "barking mad" and another, whilst I was out running in the rain, shouted "You've left your shoes behind", to which I replied "At least they're not getting wet" as I padded along barefoot enjoying splashing in the puddles like a child.


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"""Visualizing Twitter Sentiment Across America""" from data import word_sentiments, load_tweets from datetime import datetime from doctest import run_docstring_examples from geo import us_states, geo_distance, make_position, longitude, latitude from maps import draw_state, draw_name, draw_dot, wait, message from string import ascii_letters from ucb import main, trace, interact, log_current_line # Phase 1: The Feelings in Tweets def make_tweet(text, time, lat, lon): """Return a tweet, represented as a python dictionary. text -- A string; the text of the tweet, all in lowercase time -- A datetime object; the time that the tweet was posted latitude -- A number; the latitude of the tweet's location longitude -- A number; the longitude of the tweet's location >>> t = make_tweet("just ate lunch", datetime(2012, 9, 24, 13), 38, 74) >>> tweet_words(t) ['just', 'ate', 'lunch'] >>> tweet_time(t) datetime.datetime(2012, 9, 24, 13, 0) >>> p = tweet_location(t) >>> latitude(p) 38 """ return {'text': text, 'time': time, 'latitude': lat, 'longitude': lon} def tweet_words(tweet): """Return a list of the words in the text of a tweet.""" "*** YOUR CODE HERE ***" def tweet_time(tweet): """Return the datetime that represents when the tweet was posted.""" "*** YOUR CODE HERE ***" def tweet_location(tweet): """Return a position (see geo.py) that represents the tweet's location.""" "*** YOUR CODE HERE ***" def tweet_string(tweet): """Return a string representing the tweet.""" return '"{0}" @ {1}'.format(tweet['text'], tweet_location(tweet)) def extract_words(text): """Return the words in a tweet, not including punctuation. >>> extract_words('anything else.....not my job') ['anything', 'else', 'not', 'my', 'job'] >>> extract_words('i love my job. #winning') ['i', 'love', 'my', 'job', 'winning'] >>> extract_words('make justin # 1 by tweeting #vma #justinbieber :)') ['make', 'justin', 'by', 'tweeting', 'vma', 'justinbieber'] >>> extract_words("paperclips! they're so awesome, cool, & useful!") ['paperclips', 'they', 're', 'so', 'awesome', 'cool', 'useful'] """ "*** YOUR CODE HERE ***" return text.split() # Replace def make_sentiment(value): """Return a sentiment, which represents a value that may not exist. >>> s = make_sentiment(0.2) >>> t = make_sentiment(None) >>> has_sentiment(s) True >>> has_sentiment(t) False >>> sentiment_value(s) 0.2 """ assert value is None or (value >= -1 and value <= 1), 'Illegal value' "*** YOUR CODE HERE ***" def has_sentiment(s): """Return whether sentiment s has a value.""" "*** YOUR CODE HERE ***" def sentiment_value(s): """Return the value of a sentiment s.""" assert has_sentiment(s), 'No sentiment value' "*** YOUR CODE HERE ***" def get_word_sentiment(word): """Return a sentiment representing the degree of positive or negative feeling in the given word. >>> sentiment_value(get_word_sentiment('good')) 0.875 >>> sentiment_value(get_word_sentiment('bad')) -0.625 >>> sentiment_value(get_word_sentiment('winning')) 0.5 >>> has_sentiment(get_word_sentiment('Berkeley')) False """ return make_sentiment(word_sentiments.get(word, None)) def analyze_tweet_sentiment(tweet): """ Return a sentiment representing the degree of positive or negative sentiment in the given tweet, averaging over all the words in the tweet that have a sentiment value. If no words in the tweet have a sentiment value, return make_sentiment(None). >>> positive = make_tweet('i love my job. #winning', None, 0, 0) >>> round(sentiment_value(analyze_tweet_sentiment(positive)), 5) 0.29167 >>> negative = make_tweet("saying, 'i hate my job'", None, 0, 0) >>> sentiment_value(analyze_tweet_sentiment(negative)) -0.25 >>> no_sentiment = make_tweet("berkeley golden bears!", None, 0, 0) >>> has_sentiment(analyze_tweet_sentiment(no_sentiment)) False """ average = make_sentiment(None) "*** YOUR CODE HERE ***" return average # Phase 2: The Geometry of Maps def find_centroid(polygon): """Find the centroid of a polygon. http://en.wikipedia.org/wiki/Centroid#Centroid_of_polygon polygon -- A list of positions, in which the first and last are the same Returns: 3 numbers; centroid latitude, centroid longitude, and polygon area Hint: If a polygon has 0 area, return its first position as its centroid >>> p1, p2, p3 = make_position(1, 2), make_position(3, 4), make_position(5, 0) >>> triangle = [p1, p2, p3, p1] # First vertex is also the last vertex >>> find_centroid(triangle) (3.0, 2.0, 6.0) >>> find_centroid([p1, p3, p2, p1]) (3.0, 2.0, 6.0) >>> tuple(map(float, find_centroid([p1, p2, p1]))) # Forces result to be floats (1.0, 2.0, 0.0) """ "*** YOUR CODE HERE ***" def find_center(polygons): """Compute the geographic center of a state, averaged over its polygons. The center is the average position of centroids of the polygons in polygons, weighted by the area of those polygons. Arguments: polygons -- a list of polygons >>> ca = find_center(us_states['CA']) # California >>> round(latitude(ca), 5) 37.25389 >>> round(longitude(ca), 5) -119.61439 >>> hi = find_center(us_states['HI']) # Hawaii >>> round(latitude(hi), 5) 20.1489 >>> round(longitude(hi), 5) -156.21763 """ "*** YOUR CODE HERE ***" # Phase 3: The Mood of the Nation def find_closest_state(tweet, state_centers): """Return the name of the state closest to the given tweet's location. Use the geo_distance function (already provided) to calculate distance in miles between two latitude-longitude positions. Arguments: tweet -- a tweet abstract data type state_centers -- a dictionary from state names to positions. >>> us_centers = {n: find_center(s) for n, s in us_states.items()} >>> sf = make_tweet("welcome to san Francisco", None, 38, -122) >>> ny = make_tweet("welcome to new York", None, 41, -74) >>> find_closest_state(sf, us_centers) 'CA' >>> find_closest_state(ny, us_centers) 'NJ' """ "*** YOUR CODE HERE ***" def group_tweets_by_state(tweets): """Return a dictionary that aggregates tweets by their nearest state center. The keys of the returned dictionary are state names, and the values are lists of tweets that appear closer to that state center than any other. tweets -- a sequence of tweet abstract data types >>> sf = make_tweet("welcome to san francisco", None, 38, -122) >>> ny = make_tweet("welcome to new york", None, 41, -74) >>> ca_tweets = group_tweets_by_state([sf, ny])['CA'] >>> tweet_string(ca_tweets[0]) '"welcome to san francisco" @ (38, -122)' """ tweets_by_state = {} "*** YOUR CODE HERE ***" return tweets_by_state def most_talkative_state(term): """Return the state that has the largest number of tweets containing term. >>> most_talkative_state('texas') 'TX' >>> most_talkative_state('soup') 'CA' """ tweets = load_tweets(make_tweet, term) # A list of tweets containing term "*** YOUR CODE HERE ***" def average_sentiments(tweets_by_state): """Calculate the average sentiment of the states by averaging over all the tweets from each state. Return the result as a dictionary from state names to average sentiment values (numbers). If a state has no tweets with sentiment values, leave it out of the dictionary entirely. Do NOT include states with no tweets, or with tweets that have no sentiment, as 0. 0 represents neutral sentiment, not unknown sentiment. tweets_by_state -- A dictionary from state names to lists of tweets """ averaged_state_sentiments = {} "*** YOUR CODE HERE ***" return averaged_state_sentiments # Phase 4: Into the Fourth Dimension def group_tweets_by_hour(tweets): """Return a dictionary that groups tweets by the hour they were posted. The keys of the returned dictionary are the integers 0 through 23. The values are lists of tweets, where tweets_by_hour[i] is the list of all tweets that were posted between hour i and hour i + 1. Hour 0 refers to midnight, while hour 23 refers to 11:00PM. To get started, read the Python Library documentation for datetime objects: http://docs.python.org/py3k/library/datetime.html#datetime.datetime tweets -- A list of tweets to be grouped >>> tweets = load_tweets(make_tweet, 'party') >>> tweets_by_hour = group_tweets_by_hour(tweets) >>> for hour in [0, 5, 9, 17, 23]: ... current_tweets = tweets_by_hour.get(hour, []) ... tweets_by_state = group_tweets_by_state(current_tweets) ... state_sentiments = average_sentiments(tweets_by_state) ... print('HOUR:', hour) ... for state in ['CA', 'FL', 'DC', 'MO', 'NY']: ... if state in state_sentiments.keys(): ... print(state, ":", state_sentiments[state]) HOUR: 0 CA : 0.08333333333333334 FL : -0.09635416666666666 DC : 0.017361111111111115 MO : -0.11979166666666666 NY : -0.15 HOUR: 5 CA : 0.00944733796296296 FL : -0.06510416666666667 DC : 0.0390625 MO : 0.1875 NY : -0.046875 HOUR: 9 CA : 0.10416666666666667 NY : 0.25 HOUR: 17 CA : 0.09807900432900431 FL : 0.0875 MO : -0.1875 NY : 0.14583333333333331 HOUR: 23 CA : -0.10729166666666666 FL : 0.016666666666666663 DC : -0.3 MO : -0.0625 NY : 0.21875 """ tweets_by_hour = {} "*** YOUR CODE HERE ***" return tweets_by_hour # Interaction. You don't need to read this section of the program. def print_sentiment(text='Are you virtuous or verminous?'): """Print the words in text, annotated by their sentiment scores.""" words = extract_words(text.lower()) layout = '{0:>' + str(len(max(words, key=len))) + '}: {1:+}' for word in words: s = get_word_sentiment(word) if has_sentiment(s): print(layout.format(word, sentiment_value(s))) def draw_centered_map(center_state='TX', n=10): """Draw the n states closest to center_state.""" us_centers = {n: find_center(s) for n, s in us_states.items()} center = us_centers[center_state.upper()] dist_from_center = lambda name: geo_distance(center, us_centers[name]) for name in sorted(us_states.keys(), key=dist_from_center)[:int(n)]: draw_state(us_states[name]) draw_name(name, us_centers[name]) draw_dot(center, 1, 10) # Mark the center state with a red dot wait() def draw_state_sentiments(state_sentiments={}): """Draw all U.S. states in colors corresponding to their sentiment value. Unknown state names are ignored; states without values are colored grey. state_sentiments -- A dictionary from state strings to sentiment values """ for name, shapes in us_states.items(): sentiment = state_sentiments.get(name, None) draw_state(shapes, sentiment) for name, shapes in us_states.items(): center = find_center(shapes) if center is not None: draw_name(name, center) def draw_map_for_term(term='my job'): """Draw the sentiment map corresponding to the tweets that contain term. Some term suggestions: New York, Texas, sandwich, my life, justinbieber """ tweets = load_tweets(make_tweet, term) tweets_by_state = group_tweets_by_state(tweets) state_sentiments = average_sentiments(tweets_by_state) draw_state_sentiments(state_sentiments) for tweet in tweets: s = analyze_tweet_sentiment(tweet) if has_sentiment(s): draw_dot(tweet_location(tweet), sentiment_value(s)) wait() def draw_map_by_hour(term='my job', pause=0.5): """Draw the sentiment map for tweets that match term, for each hour.""" tweets = load_tweets(make_tweet, term) tweets_by_hour = group_tweets_by_hour(tweets) for hour in range(24): current_tweets = tweets_by_hour.get(hour, []) tweets_by_state = group_tweets_by_state(current_tweets) state_sentiments = average_sentiments(tweets_by_state) draw_state_sentiments(state_sentiments) message("{0:02}:00-{0:02}:59".format(hour)) wait(pause) def run_doctests(names): """Run verbose doctests for all functions in space-separated names.""" g = globals() errors = [] for name in names.split(): if name not in g: print("No function named " + name) else: run_docstring_examples(g[name], g, True, name) @main def run(*args): """Read command-line arguments and calls corresponding functions.""" import argparse parser = argparse.ArgumentParser(description="Run Trends") parser.add_argument('--print_sentiment', '-p', action='store_true') parser.add_argument('--run_doctests', '-t', action='store_true') parser.add_argument('--draw_centered_map', '-d', action='store_true') parser.add_argument('--draw_map_for_term', '-m', action='store_true') parser.add_argument('--draw_map_by_hour', '-b', action='store_true') parser.add_argument('text', metavar='T', type=str, nargs='*', help='Text to process') args = parser.parse_args() for name, execute in args.__dict__.items(): if name != 'text' and execute: globals()[name](' '.join(args.text))


Designed for the classical musician with organization in mind.
Notes are the main place for you to track your progress. You can write about any of what you practiced, see your project progress, and track how often you do your daily habits.
Projects are where you can outline the steps needed to master a piece or technique. Add steps, set due dates, and add reminders.


The following actions are supported in this diagram:
- Zoom, you can use the scrollwheel, or double-click, to zoom in or out
- Move, you can move around by dragging the Diagram


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Perl Weekly
Issue #138 - 2014-03-17 - Would you like to have a Perl conference in your European city?
latest | archive | by Gabor Szabo
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Hi,
sorry for the delayed posting, I had an unplanned 2-days vacation with my daughter. It was great.
I hope you also enjoyed your weekend, and you are ready for a new set of articles:
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Announcements
|
Call for Venue for YAPC::Europe::2015
Would you like to have a Perl conference in your (European) city? This is your chance to put your city on the world map! The dead-line for sending letter of intent is Friday, 25 April, and then you'll still have 2 months to actually prepare your proposal or hide under a stone.
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Articles
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Evolvable languages
Jeffrey Kegler shows some Perl code that is obviously incorrect, to the eyes of a long time Perl developer, but that seems natural. He then shows how could this syntax be allowed using a Marpa preprocessor.
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Perl Encryption Primer: The Importance of Randomness
Timm Murray from the Wumpus Cave explains how rand() works and why it is not a good tool when security is important. He then goes on to suggest adding extra hardware if randomness is really important, or at least to use Crypt::Random.
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A Faster Perl Runtime in Tiny Steps
Apparently now Booking.com is sponsoring Dave Mitchell directly to improve the performance of perl. Steffen Muller explains the changes Dave made in a human readable way.
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Testing
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Precision Testing for Modern Perl
Toby Inkster argues that Test::Most is old, has some outdated dependencies and cannot be changed because modules depend on it. Hence he released Test::Modern with a set of dependencies that are good now. I applaud the recommendations, but I think this is not a good path. IMHO it would be better to find a way to update Test::Most.
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How soon do CPAN Testers start testing your releases?
It is only based on data from a single CPAN distribution, but so far it shows that the bulk of the test reports arrive in the first 8 days after the release reaches PAUSE with some reports arriving within the first hour!
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Code
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Web
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CPAN
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What happens when you upload to CPAN?
This is the first part of a series in which Neil Bowers tries to explain to himself and to you how the whole CPAN ecosystem works. Do you know what is PAUSE and what is BackPAN?
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You Can Help MetaCPAN by Helping the QA Hackathon
In general MetaCPAN does not accept monetary contributions, but being able to participate at the annual QA Hackathon helps Olaf Alders to allocate time to work on MetaCPAN and get others to be involved. So if you'd like to help MetaCPAN with money, the best way is to donate to the QA Hackathon. (See reports about this years QA Hackathon in the Testing section above.)
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Fun
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perldoc -l for modules without pod
Did you know that 'perldoc -lm Module::Name will print the path to a module even if it does not have POD? You can open it in vim by typing 'vim $(perldoc -lm Module::Name)'
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Grants
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March 2014 Grant Proposals
After many months without any grant requests, and after raising the grant limit from 3,000 to 10,000, the last call for grant proposals brought you 4 grant proposals. The Perl Foundation is looking forward to read your comments and thoughts.
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Perl 6
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Training
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What goes around, comes around
Vikings being attacked by an Aussie! More specifically, Damian Conway is visiting Oslo and teaching his Perl Masterclass on Monday, 24 March.
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Weekly collections
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Perl Maven Tutorials
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Events
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Perl-related events
In the following cities: Hannover (DE), Cluj (RO), Swindon (UK), Utrecht (NL), Silver Spring, (MD/USA), Poznan (PL), Prague (CZ), Oslo (NO), Paris (FR), Kiev (UA), Orlando (FL/USA), Sofia (BG), Flörli Olten (CH)
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You know, you could get the Perl Weekly right in your mailbox. Every Week. Free of charge!
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--- layout: documentation title: MemorySectionListType ---
The MemorySectionListType type specifies a list of memory sections used by the process.
| Field Name | Type | Description |
|---|---|---|
| Memory_Section1..n | MemoryObjectType |
The Memory_Section field specifies a memory section used by the process. It imports and uses the MemoryObjectType from the CybOX Memory Object. |


The UTCDateTimeRangeController ensures that the
range is a proper range. See the UTCDateBox and UTCTimeBox demos for
specific details on those controls.
The UTCDateTimeUtils class
is provided for use on the server to allow conversion to a Date in a
known TimeZone.
Note: These demos use the "en" locale with
default date/time formats, but other locales and formats can be specified.
UTCDateBox / UTCTimeBox / UTCDateTimeRangeController Demo
Start time
End time
ValueChangeEvents (most recent on top)


This is the paragraph one
This is Paragraph two
Trying to do line break.This is my First Paragraph, how is this looking haaa?
This is my Second Paragraph.
This is second line and done with this tutorial.
I am working on this HTML Tutorials
Tables
| Apples | Bananas | Pears |
| Coke | Sprite | Leamonade |
Table Headers and Movie Stars
| Name | Movie | Heroine |
|---|---|---|
| Mahesh babu | Athadu | Trisha |
| Charan | Maghadheera | Kajal |
Colspan
ODD PEOPLE |
||
|---|---|---|
| TYPE | REASON | Other | Loud People | Music Up | no Idea |
| Quite People | Music Low | no Idea who are that People |
Cellpadding
ODD PEOPLE |
||
|---|---|---|
| TYPE | REASON | Other | Loud People | Music Up | no Idea |
| Quite People | Music Low | no Idea who are that People |
Unordered list
Orderd List
This Tutorial is RGB color and Line Spacing!This Tutorial is RGB color and Line Spacing! This Tutorial is RGB color and Line Spacing!This Tutorial is RGB color and Line Spacing! This Tutorial is RGB color and Line Spacing!This Tutorial is RGB color and Line Spacing! This Tutorial is RGB color and Line Spacing!This Tutorial is RGB color and Line Spacing! This Tutorial is RGB color and Line Spacing!This Tutorial is RGB color and Line Spacing!
This is best Day ever.This is best Day ever. This is best Day ever.This is best Day ever.This is best Day ever. This is best Day ever.This is best Day ever.This is best Day ever.
| MC donalds | Burger King | Taco bell | Subway |
| Chicken Burger | Fish Burger | Chicken Chalupa | footlong Sub |


--- layout: post title: Line test date: '2016-08-09T16:00:39+02:00' categories: - Storyboards - Klare Lijn — Ligne Claire - Sketches picture_url: https://film-Storyboards.tumblr.com/post/148705746364 ---


Hi!
I'm Harry,
I'm a full stack software engineer, Java programmer, web developer,
musician, and inventor based in Atlanta, GA.
projects.
Pfolie.com
Creator, Developer, Designer, Maintainer
Open-source suite of web-based investment and financial portfolio tools.
Angular
JavaScript
Node.js
Express.js
Chart.js
Firebase
Postgresql
PrimeNg
GitHub Stats
Updated:
Solutions to Programming Exercises
Creator, Developer, Programmer, Maintainer
Daniel Liang’s, Java Programming (10th Edition)
Java
Algorithms
Data Structures
Computer Science Fundamentals
Algorithm Analysis and Optimization
GUI programming
GitHub Stats
Updated:
SecretTowns.com
Developer, Programmer, Maintainer
Custom animated webpage for the indie rock band Secret Towns. Artwork by Luke Thorton
JavaScript
Vue.js
Canvas API
Animation API
Green Sock (GSAP)
Vercel
GitOps
Stock Price Predictor
Designer, Programmer
Python 3
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Customized Vader Lexicon
Beautiful Soup
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Updated:
HarryDulaney.com
Creator, Designer, Programmer, Maintainer
HTML
CSS
JavaScript
Bootstrap
JQuery
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GreenSock
GitHub Stats
Updated:


{% extends base %}
{% load staticfiles %}
{% block title %} Add Wallet Address {% endblock %}
{% block form %}
{% block style %}
{{block.super}}
{% endblock %}
{% if request.GET.modal == '1'%}
{% endif %}
Add Wallet Address
You need to create a signed message and get a public key with your DashCore QT wallet in order to be able to create a raffle. To do it, follow the next steps:
- Open DashCore QT wallet on your local machine and select “sign message” in the file menu.
-
Enter
your wallet address into the first field or
create
a new one with the button next to the field.
- Take the verification message provide below and paste it into the
next field and click “sign message”
Raffle Confirm Wallet 2018-11-19 15:39:27.691410
- Take your
wallet address
and the
signature
and paste them in the labelled fields below.
- Finally, get the public key of the address used in the first step, by typing the command
validateaddress
followed by the address at the "Debug Console" in the Tools menu.


+++ title = "Collabnix Community" +++ {{< blocks/cover title="Welcome to Collabnix Community" image_anchor="top" height="full" color="dark" >}}
Choose your preferred technology and get access to 50+ DevOps Projects
Meet, share and collaborate with other Collabnix community users and contributors on our Community Slack
Join the Collabnix community Slack


Students will get practical experience applying course concepts in homework assignments and a project. Infrastructure-as-a-Service and Platform-as-a-Service are becoming the predominant methods of using database technology. The concepts and technology from the course apply to on-premise and many cloud platforms. This section will focus on using Amazon Web Services. Some of the technologies we willare: attempt to cover are:
Each section of W4111 is slightly different based on student interest and professor's focus. There is a common, core syllabus. Professors cover topics in different orders and grouping based on teaching style.
This section of W4111 has four modules:
Students taking the class have vastly different programming experience and interest in programming. To accomodate the diverse experience and interests, all sections of W4111 offer a programming track and a non-programming track.
The department's description of the programming/non-programming is:
"To accommodate the diverse backgrounds of the students who take this class, all sections of the class should include a non-programming option for projects and assignments. We have successfully offered such an option in some sections of the class for many years: students can either program a web application to interface with a DB of their own design, or alternatively follow the non-programming option and come up with a quantifiably more detailed DB design/data."
What does not constitute programming?
What constitutes programming?
The difference will become clear when we provide the details on HW 1, and we will also explain the differences in the first lecture.
Exams are the same for both tracks.


---
title: Helena Resources
description: How to use Helena to collect web data
permalink: /resources
layout: default
---
Ready to get started using Helena? Here are some resources to get you up and running.
Installing
Writing your first program
Demonstration: Guide to using demonstrations to write Helena programs. A good tutorial for getting started.
Using Helena Programs: A tour of how to fix tables, save and use programs, and generally use the non-demonstration parts of the Chrome extension.
Video Tutorial: If you prefer your tutorials in video form, this is the place to start.
Customizing programs, fixing problems
Tips and Tricks: The little tips you need to know to get your programs working.