The driver or library code used is a minimal set of sample code and it is not intended for use in a production environment.
Click the Free Build Environment or Checked Build Environment icon under Development Kits program group to set basic environment variables.
Change to the directory containing the device source code, such as CD src\general\build
Run build -ceZ, or use the macro bcz.
To turn on WDK Binplace feature you have use separate_object_root flag with setenv.bat. The sample demonstrates how to work with Binplace utility by using macros in your sources file. These are PASS#_BINPLACE and TARGET_DESTINATION macros. The TARGET_DESTINATION specifies the target directory for the TARGETNAME binaries being build (if any). TARGET_DESTINATION is a folder relative to %_NTTREE% in your environment (see WDK Documentation for _NTTREE). The PASS#_BINPLACE macros pass binplace.exe options and file list to Binplace. TARGET_DESTINATION is a default destination for Binplace, but PASS#_BINPLACE macros can override it by adding -:DEST <alternative dest> before the specified file. There are PASS0_BINPLACE, PASS1_BINPLACE and PASS2_BINPLACE for the tree build passes and some predefined target destinations like retail (see WDK Documentation for TARGET_DESTINATION). General guideline is: perform each task as early as possible. This frees up compile and link to consume and execute with greatest freedom in Pass1 and Pass2.
The Binplace sample demonstrates most common tasks when developing a driver. It builds the driver binary described with TARGETNAME macro. It generates a custom target by using one of NTTARGETFILE# macros and makefile.inc. In this specific example the custom target is a conversion of the .INX file into an .INF file.
To generate the .INF file we use NTTARGETFILE1 macro, but NTTARGETFILE0 is also good - we choose the Pass1 macro just to demonstrate its cooperation with PASS1_BINPLACE.
The Binplace macros can also work for files that we do not generate in the current build. These are called static files or files that already exist. In our sample we demonstrate the co-installer WdfCoinstaller1009.dll and the Eula text file being binplaced at Pass0. We assume that the .DLL and the .TXT files already exist. To enable binplacing of static binaries we should set the macro BUILD_NO_SYMCHK=1, so that the Binplace utility doesn’t look for the .pdb for these binaries. This is necessary only for the static binaries, not for the text files or other types of files. In the below example we set BUILD_NO_SYMCHK macro when Binplace the coinstaller WdfCoinstaller1009.dll.
TARGETNAME=Filter
TARGETTYPE=DRIVER
…
NTTARGETFILE0=$(OBJ_PATH)\$(O)\$(INF_NAME).inf
BUILD_NO_SYMCHK=1
PASS0_BINPLACE=\
$(NTTARGETFILE0) \
$(BASEDIR)\redist\wdf\x86\WdfCoInstaller01009.dll
…
TARGET_DESTINATION=targetdestfolder
Put your specific name for the target destination if needed and build. As a result Filter.sys, Filter.pdb, Filter.inf and WdfCoInstaller01009.dll all go to %_NTTREE%\...\targetdestfolder.
Targetpath
TARGETPATH macro specifies the destination directory for your TARGETNAME binaries. This macro provides customization of the target destination similar to TARGET_DESTINATION and PASS#_BINPLACE, but has 2 disadvantages: it binplaces only TARGETPATH binaries and doesn’t provide customization of your immediate build output path. Your build output is always inside your source tree, so the source tree couldn’t be clean and read only.
In Targethpath sample we set TARGETPATH=targetpathfolder (put your own name as needed). Set separate_object_root and build the Binplace and Targetpath samples. Targetpath will have the TARGETNAME binaries placed in targetpathfolder folder. Binplace sample will have the TARGETNAME binaries and coinstaller is placed in targetdestfolder folder. Find these two folders and compare them to understand the difefrence. In parallel the Produces_Consumes sample will place TARGETNAME binaries in the default object output folder in your source tree, because the sample doesn’t use any target folder customization or Binplace macros.
|
|
© 2009 Microsoft Corporation


The following sections describe the settings for configuring a tenant to connect to a specific OIDC provider, for example, a specific domain and directory in Microsoft Azure Active Directory (Azure AD).
The settings are specific to the OIDC provider and require preparations in the OIDC provider system. The following descriptions use Azure AD as an example. If you intend to work with a different OIDC provider, please contact your support organization for details.
When you define a tenant on the platform, you can download a template with the settings. The final tenant configurations are stored in .properties files on the Docker host where the platform is deployed:
<docker>/config/oscm-identity/tenants/tenant-<id>.properties
<docker> is the platform's data directory specified at installation time. <id> is the ID of a tenant created on the platform, or default for the default tenant defined at installation time.
The implementation of OIDC on the platform. The value must be set to default.
Example:
oidc.provider=default
The identifier of the application by which your platform installation is registered with the OIDC provider directory.
Azure AD example:
oidc.clientId=ef29bb22-369c-424d-9e72-6800ad24239e
The secret string generated at the OIDC provider that the platform uses to prove its identity when requesting a token.
Azure AD example:
oidc.clientSecret=m2:bYmmlN6[Z:A:jqqO95nHi39.o0?pF
The authorization endpoint at the OIDC provider to which the platform sends single sign-on authentication requests.
Azure AD example:
oidc.authUrl=https://login.microsoftonline.com/mydomain.onmicrosoft.com/oauth2/v2.0/authorize
In the URL, replace mydomain by the name of your domain.
The permissions set for the platform's application at the OIDC provider.
Azure AD example:
oidc.authUrlScope=openid profile offline_access https://graph.microsoft.com/user.read.all https://graph.microsoft.com/directory.readwrite.all https://graph.microsoft.com/group.readwrite.all
The endpoint at the OIDC provider to which the platform sends logout requests.
Azure AD example:
oidc.logoutUrl=https://login.microsoftonline.com/mydomain.onmicrosoft.com/oauth2/v2.0/logout
In the URL, replace mydomain by the name of your domain.
The endpoint at the OIDC provider to which the platform sends requests related to tokens, such as token retrieval, refreshment, or validation.
Azure AD example:
oidc.tokenUrl=https://login.microsoftonline.com/mydomain.onmicrosoft.com/oauth2/v2.0/token
In the URL, replace mydomain by the name of your domain.
The redirect URL of your platform installation to which the OIDC provider sends its responses.
Azure AD example:
oidc.redirectUrl=https://myhost:9091/oscm-identity/callback
In the URL, replace myhost by the FQDN or IP address of the host to access your platform installation.
The URL of the OpenID layer configuration for your domain at the OIDC provider.
Azure AD example:
oidc.configurationUrl=https://login.microsoftonline.com/mydomain.onmicrosoft.com/v2.0/ .well-known/openid-configuration
In the URL, replace mydomain by the name of your domain.
The URL of the main entry point to the API of the OIDC provider.
Azure AD example:
oidc.idpApiUri=https://graph.microsoft.com
The entry point to the API for users at the OIDC provider.
Azure AD example:
oidc.usersEndpoint=https://graph.microsoft.com/v1.0/users
The entry point to the API for groups at the OIDC provider.
Azure AD example:
oidc.groupsEndpoint=https://graph.microsoft.com/v1.0/groups


SUBTITLE 5. AQUATIC RESOURCES AND
WILDLIFE
Note
Subtitle heading amended by L 1981, c 85, §10.
CHAPTER 187
GENERAL PROVISIONS RELATING TO AQUATIC RESOURCES
AND WILDLIFE
REPEALED. L 1986, c 275, §1.


Deleting a category is not a reversible change. Any information associated
with this category will be removed, and cannot be recovered.
{% extends 'layouts/base.html' %} {% import 'macros/form_macros.html' as f %} {% set deletion_endpoint = 'category.delete_category_request' %} {% set endpoints = [ ('category.category_info', 'Question information'), ('category.change_category_details', 'Change category details'), (deletion_endpoint, 'Delete category') ] %} {% macro navigation(items) %}
{% endmacro %} {% macro category_info(category) %}| Clubs | {% for c in category.clubs %} {{ c.name }} {% endfor %} |
| Club Name Associated With Category |
|---|
| {{ c.name }} |


My passion for design and my curiosity and experience as a scientist form a perfect match for beautiful visualizations based on robust data analyses. To ensure high flexibility and a reproducible workflow I use code-based approaches, mainly R
, the tidyverse
and ggplot2
.
My projects include static, animated and interactive visualizations, mapping techniques and infographic design to gain insights from complex data and communicate those findings to the world.
DOWNLOAD MY CVData Analysis & Visualisation, Statistical Modeling, Consulting, Workshops
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Nouns can be augmented using articles and adjectives: ANA (Article Noun Adjective). This is not the same as in English but inverted. Adjectives also can be used in front of nouns AAN.
Augments:
Adverbs and adjectives are called augments. Each augment is ending with "o" but not all words ending with "o" are augments. Sometimes we can use multiple augments referring to the subject. In this case we can use the preposition "ci" to create a conjunction.
Adjective comparison:
For adjective comparison we do not change coda from "o" into "h". Instead we use auxiliary prepositions: "plu ka" = more than or "mio ka" = less than. If the comparison is equal we use the preposition "ka" = same.
- mia vaga sonu plu karo ka tia = my car is more expensive than yours.
- tua vaga sonu mio karo ka mia = your car is less expensive than mine.
- nue vage haru emo preca = our cars have the same price.
Note: In the previous example we have used nominative cases for the subject and accusative or genitive cases for the object. Pronoun cases will be explained later below, just read on...


Table Of Contents
Steps
If you are having trouble getting the Java Web Start agent installed as a Windows service (ie, you followed the instructions on installing the slave as a service here but it didn't work), an alternative method of starting the service automatically when Windows starts is to use the Windows Scheduler.
We take advantage of the Windows Scheduler's ability to run command at system startup
- Configure your node to use the "Launch slave agents via Java Web Start" launch method
- Click Save
- Note the command required to launch the slave
- On the new slave node's Jenkins page, note the slave command line shown.
- It will be like: java -jar slave.jar -jnlpUrl http://<JenkinsHostName>:8080/computer/<nodeName>/slave-agent.jnlp -secret <some_long_hex_string>
- On the new slave node's Jenkins page, note the slave command line shown.
- Obtain the slave.jar file and copy it to your new Windows slave node
- In the command line noted in the last step, the "slave.jar" is a hyperlink. Click it to download the slave.jar file.
- Copy the slave.jar file to a permanent location on your slave machine
- Ensure that you have a java version available on your slave machine
- If not, obtain and install a copy of Java
- Run the command manually from a CMD window on your slave to confirm that it works
- Open the CMD window
- Run the command (the one like java -jar slave.jar -jnlpUrl http://<JenkinsHostName>:8080/computer/<nodeName>/slave-agent.jnlp -secret <some_long_hex_string>)
- Go back to the node's web page in Jenkins. If everything works then page should say "Connected via JNLP agent"
- Stop the command (control-c)
- Register a new scheduled job to run the same command
- Open "Task Scheduler" on your windows machine
- Start -> Run: task Scheduler
- Create a basic task (Menu: Action -> Create Basic Task)
- First page of the wizard:
- Name: Jenkins Slave
- Description (optional)
- Click Next
- Next page of the wizard
- When do you want the task to start: select "When the computer starts"
- Click Next
- Next page of the wizard
- What action do you want the task to perform: select "Start a program"
- Click Next
- Next page of the wizard
- Program/Script: enter "java.exe" (or the full path to your java.exe)
- Add arguments: enter the rest of the command, like " -jar slave.jar -jnlpUrl http://<JenkinsHostName>:8080/computer/<nodeName>/slave-agent.jnlp -secret <some_long_hex_string>"
- eg: -jar D:\Scripts\jenkins\slave.jar -jnlpUrl http://jenkinshost.example.com:8080/computer/buildNode1/slave-agent.jnlp -secret d6a84df1fc4f45ddc9c6ab34b08f13391983ffffffffffb3488b7d5ac77fbc7
- Click Next
- Next page of the wizard
- Click the check box "Open the Properties dialog for this task when I click Finish
- Click Finish
- First page of the wizard:
- Update the task's properties
- On the General tab
- Select the user to run the task as
- Select "Run whether use is logged on or not"
- On the settings tab
- Uncheck "Stop the task if it runs longer than"
- Check "Run the task as soon as possible after a scheduled start is missed"
- Check "If the task failed, restart every: 10 minutes", and "Attempt to restart up to: 3 times"
- Click OK
- On the General tab
- Open "Task Scheduler" on your windows machine
- Start the scheduled task and again check that Jenkins can connect
- Go back to the node's web page in Jenkins. If everything works then page should say "Connected via JNLP agent"


{% extends "layout.html" %} {% block style %} {% endblock %} {% block title %} QGuides {% endblock %} {% block main %}
PLEASE NOTE: This is not a docking platform. It is therefore essential that where applicable, all dockings would have been done using your preferred docking software.
IT IS STRONGLY ADVISED TO READ THE README.md FILE FIRST
PREPARING NEEDED FILES - RECEPTOR, LIGAND AND/OR PEPTIDES:For Ligands: Separate ligand(s) from the complex, careful to maintain its docked orientation and position, then, Prepare the ligand(s) by adding hydrogen and checking that the charge is zero
For Receptor/Proteins: While maintaning it in its docked orientation, prepare the protein by removing all hydrogens, and ligands using your preferred software. Correct any errors in downloaded protein structures using SwissPDB viewer, pdb4amber, etc and Check the suitability of protein manually using pdb2gmx and amber tleap
For Peptides: Please prepare the peptide files similar to the samples in your workspace directory
For User Supplied Ligand(s) Topology(ies): Ensure the topology files are compatible with your preferred forcefiled (amber, charmm, gromos or opls). All user suppied topology files must have at least the following headings [ moleculetype ], [ atomtypes ] and [ system ] to be successfully used by the platform
* FIRST STEP: SELECT THE DESIRED ROUTEThis platform provides three routes to follow in generating solvated receptor - ligand complex. The route to use depend on your needs and they are:
RLmulti Route: To generates Receptor - multi_Ligands complex. This is good for a protein bound with more than one ligand or bound to a major ligand and minor moeities like Zn, PO4, SO4, etc. Only one receptor can be supplied to this route, but multiple ligands are allowed.
RLmany Route: To generates separate Receptor - Ligand complex between the receptor and each of the ligand you supplied. This route is important where multiple ligands have been screened by docking against a target protein. Only one receptor can be supplied to this route, but multiple ligands are allowed.
RLsingle Route: To generates Receptor - Ligand complex between pairs of protein and ligand. This route accepts more than one receptors and ligands but must be uploaded in matching pair of protein and ligand.
FOR PROTEINS AND PEPTIDES:PPmore Route: To prepare peptides and proteins and generate topology files suitable for molecular dynamic simulation with gromacs. Uploaded proteins must not have any none standard animo acids residues. If the peptide has been converted to protein structure (.pdb), it should be uploaded as protein.
* SECOND STEP: UPLOAD THE NECESSARY FILESNow, a new working directory will be created for each job using the unique ID number and your supplied name. In each directory at each step in the workflow sub-directories will be created for maximum job organization.
* FIFTH STEP: CHECK THE GENERATED STRUCTURE AND TOPOLOGY FILES WITH SHORT MDS RUNThereafter, you can check the suitability of the generated solvated structures and topology files with short MDS run using the supplied sample or your prepared MDP files.
Please check sample folder in your working directory for examples of .mdp and peptide files for use with this platform or as template to prepare your own files.


Dropdown with hover
and belowOrigin
set to true, align
set to right, and constrainWidth
set to false.
Dropdown can be customized using the following properties on the mz-dropdown
element.
| Property | Mandatory | Type | Description | Default value |
|---|---|---|---|---|
| align | string | Choose the edge the menu is aligned to could be left or right |
left | |
| belowOrign | boolean | Show the drowdown below the button activator | false | |
| constrainWidth | boolean | Display the ConstrainWidth to the size of the dropdown button activator | true | |
| dropdownButtonId | string | Id of the dropdown button | ||
| gutter | number | Defines the spacing from the aligned edge | 0 | |
| hover | boolean | Open the dropdown on hover | false | |
| id | string | Id of the dropdown element | ||
| inDuration | number | Duration of the transition enter in milliseconds | 300 | |
| outDuration | number | Duration of the transition out in milliseconds | 225 | |
| stopPropagation | boolean | Stops the event propagating from the dropdown origin click handler | false |
Open the dropdown.
void
Close the dropdown.
void


Who am I?
Myself - 11/16/2016
Hello. My name is Mark and I’m an aspiring game developer from New Zealand.
Since the beginning of 2016 I’ve been teaching myself to use Unity and I’ve decided to finally set up this site to document my learnings and share knowledge with the gamedev community.


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Click on a black dot on the muscles you want to stretch
View the information on that particular muscle and a video on how to stretch it
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Instinct (1999) Anthony Hopkins, Cuba Gooding Jr., Donald Sutherland, Maura Tierney, George Dzundza, John Ashton, Paul Bates, Ian Ingram, Thomas Q. Morris. Music by Danny Elfman. Screenplay by Gerald Di Pego, inspired by "Ishmael" by Daniel Quinn. Directed by Jon Turteltaub. 125 minutes. Rated R, 3 stars (out of five stars)
Review by Ed Johnson-Ott, NUVO Newsweekly www.nuvo-online.com Archive reviews at http://us.imdb.com/M/reviews_by?Edward+Johnson-ott To receive reviews by e-mail at no charge, send subscription requests
to<EMAIL_ADDRESS>I felt strongly conflicted while watching "Instinct." Part of me wanted to just surrender and enjoy the film, relishing the strong acting and philosophical message. But every time I gave in, something would happen to remind me that, beneath the surface, this was just another mainstream Hollywood movie. "Instinct" is extremely derivative, needlessly manipulative and even a bit superficial, but I'm still giving the film a qualified recommendation because, as annoying as the bad parts are, the good parts are really, really good.
Cuba Gooding Jr. plays Theo Caulder, an upwardly mobile psychiatrist given the juicy assignment of assessing Dr. Ethan Powell (Anthony Hopkins), a renown anthropologist and primatologist who left for Africa to study gorillas and returned a madman. Seems that the doctor, whose relations with his family were distant at best, developed a much better rapport with the great apes. Powell disappeared into the jungle, only to emerge much later in chains, accused of attacking a group of men and murdering two of them.
Housed in the psychiatric wing of a maximum security prison after being shipped back to the States, Powell is to be evaluated for competency. Young Caulder sees a career boost, and a possible best- seller, in his new patient, but as he tenuously builds a relationship with the damaged man, he discovers something far more significant.
One of the best things about "Instinct" is the casting, along with most of the performances. In the wake of his Academy Award-winning turn in "Jerry Maguire" and wildly jubilant acceptance speech at the Oscar ceremonies, Cuba Gooding Jr. has done the over-enthusiastic rah- rah bit to death, culminating in a series of soft drink commercials where he comes off like a coked-up personal trainer gone berserk. Thankfully, Gooding is controlled, thoughtful and quite engaging here (although in one scene, where he leads a group of prisoners in a defiant chant, I half expected him to start thrusting cans of Pepsi at the convicts). Gooding makes the transition from silky opportunist to shaken human being very effectively, and he works beautifully with Anthony Hopkins.
As usual, Hopkins is superb, taking a role earlier slated for Sean Connery and putting his own definitive stamp on the character. Manacled and slightly hunched over, he silently peers out from his long white hair like a leopard behind wild reeds. Hopkins doesn't just play the deranged anthropologist, he inhabits him. From the film's moving (and incredibly realistic) scenes of Powell communing with a family of gorillas, to a stunning extended sequence where he gives Caulder a harrowing lesson on the illusion of control, Hopkins' work is flawless.
Alas, the script is not. Gooding and Hopkins are so strong that it takes awhile to notice that the production is a somewhat sluggish pastiche of other movies, from "Gorillas in the Mist" to "One Flew Over the Cuckoo's Nest," with a healthy dose of "Equus" to boot. The film even includes the "standing in the rain with arms outstretched as a metaphor for freedom" overhead crane shot from "The Shawshank Redemption," "Pleasantville" and God knows how many other flicks. While the image was once evocative, it now needs to be put out to pasture once and for all.
Hopefully there's also room in that pasture for lovable loonies, another irritating movie cliché. Mental illness isn't adorable, as everyone (except screenwriters) already knows, but "Instinct" offers a pair of convicts who, despite being criminally insane, are more insufferably cute than all four "Teletubbies" combined.
While "Instinct" embraces too many trite plot devices, it successfully navigates past a few. Even though "NewsRadio's" Maura Tierney, playing Powell's estranged daughter, achieves a nice chemistry with Gooding, their relationship remains platonic, sparing us a needless romantic subplot.
 I won't disclose the details, but as you leave the theater, consider the logistics of the final image and ask yourself how it could have occurred. The answer is simple: it couldn't. While you're at it, reflect on how the resolution seems to negate the one thing for which Powell gives Caulder thanks.  I'm serious. Late in the film, when Gooding finishes his speech about "the game," get up and walk out. Then, on the way home, make up your own ending.
Despite the clichés, despite the languid pacing, despite seeing great character actors cast as stereotypes, and even despite the ending, I'm still glad I saw "Instinct." The film delivers a message that, however obvious, bears repeating. And it provides a fine showcase for the considerable talents of Cuba Gooding Jr. and Anthony Hopkins. To watch actors as electric as those two, it's worth sitting through the rough stuff.
© 1999 Ed Johnson-Ott
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


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Design and Usage of the InAlloca Attribute¶
Introduction¶
The inalloca attribute is designed to allow taking the address of an aggregate argument that is being passed by value through memory. Primarily, this feature is required for compatibility with the Microsoft C++ ABI. Under that ABI, class instances that are passed by value are constructed directly into argument stack memory. Prior to the addition of inalloca, calls in LLVM were indivisible instructions. There was no way to perform intermediate work, such as object construction, between the first stack adjustment and the final control transfer. With inalloca, all arguments passed in memory are modelled as a single alloca, which can be stored to prior to the call. Unfortunately, this complicated feature comes with a large set of restrictions designed to bound the lifetime of the argument memory around the call.
For now, it is recommended that frontends and optimizers avoid producing this construct, primarily because it forces the use of a base pointer. This feature may grow in the future to allow general mid-level optimization, but for now, it should be regarded as less efficient than passing by value with a copy.
Intended Usage¶
The example below is the intended LLVM IR lowering for some C++ code
that passes two default-constructed Foo
objects to g
in the
32-bit Microsoft C++ ABI.

}
To avoid stack leaks, the frontend saves the current stack pointer with
a call to llvm.stacksave. Then, it allocates the
argument stack space with alloca and calls the default constructor. The
default constructor could throw an exception, so the frontend has to
create a landing pad. The frontend has to destroy the already
constructed argument b
before restoring the stack pointer. If the
constructor does not unwind, g
is called. In the Microsoft C++ ABI,
g
will destroy its arguments, and then the stack is restored in
f
.
Design Considerations¶
Lifetime¶
The biggest design consideration for this feature is object lifetime. We cannot model the arguments as static allocas in the entry block, because all calls need to use the memory at the top of the stack to pass arguments. We cannot vend pointers to that memory at function entry because after code generation they will alias.
The rule against allocas between argument allocations and the call site
avoids this problem, but it creates a cleanup problem. Cleanup and
lifetime is handled explicitly with stack save and restore calls. In
the future, we may want to introduce a new construct such as freea
or afree
to make it clear that this stack adjusting cleanup is less
powerful than a full stack save and restore.
Nested Calls and Copy Elision¶
We also want to be able to support copy elision into these argument slots. This means we have to support multiple live argument allocations.
Consider the evaluation of:
// Foo is non-trivial.
struct Foo { int a; Foo(); Foo(const &Foo); ~Foo(); };
Foo bar(Foo b);
int main() {
bar(bar(Foo()));
}
In this case, we want to be able to elide copies into bar
’s argument
slots. That means we need to have more than one set of argument frames
active at the same time. First, we need to allocate the frame for the
outer call so we can pass it in as the hidden struct return pointer to
the middle call. Then we do the same for the middle call, allocating a
frame and passing its address to Foo
’s default constructor. By
wrapping the evaluation of the inner bar
with stack save and
restore, we can have multiple overlapping active call frames.
Callee-cleanup Calling Conventions¶
Another wrinkle is the existence of callee-cleanup conventions. On Windows, all methods and many other functions adjust the stack to clear the memory used to pass their arguments. In some sense, this means that the allocas are automatically cleared by the call. However, LLVM instead models this as a write of undef to all of the inalloca values passed to the call instead of a stack adjustment. Frontends should still restore the stack pointer to avoid a stack leak.
Exceptions¶
There is also the possibility of an exception. If argument evaluation or copy construction throws an exception, the landing pad must do cleanup, which includes adjusting the stack pointer to avoid a stack leak. This means the cleanup of the stack memory cannot be tied to the call itself. There needs to be a separate IR-level instruction that can perform independent cleanup of arguments.
Efficiency¶
Eventually, it should be possible to generate efficient code for this construct. In particular, using inalloca should not require a base pointer. If the backend can prove that all points in the CFG only have one possible stack level, then it can address the stack directly from the stack pointer. While this is not yet implemented, the plan is that the inalloca attribute should not change much, but the frontend IR generation recommendations may change.


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Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 2
Place the water and butter into a medium frying pan with a lid over a high heat and bring to the boil.
Add the carrots, celery, leeks, courgettes and tarragon and bring back to the boil.
Season the chicken breasts with salt and freshly ground black pepper and place into the pan on top of the vegetables. Cover with a lid and simmer for 6-7 minutes, or until the chicken is almost completely cooked through.
Add all of the wild mushrooms except the trompettes and replace the lid and cook for one minute.
Add the trompettes and continue to cook for 30 seconds.
Place the garlic, shallots and parsley into a bowl and mix well (this mixture is called a persillade.
Add the persillade and tomatoes to the pan and season, to taste, with salt and freshly ground black pepper.
Test the chicken is cooked by inserting a skewer into the thickest part of the breast - if the juices run clear the chicken is cooked. If the juices are not clear, replace the lid and cook for 1-2 minutes more, or until completely cooked through.
To serve, remove the chicken breasts from the pan and cut in half on the diagonal. Spoon some of the vegetables onto each plate and top each pile with two pieces of chicken. Add a further spoonful of vegetables and drizzle with the cooking juices.


Plugin Information |
|---|
View Log Parser on the plugin site for more information. |
Older versions of this plugin may not be safe to use. Please review the following warnings before using an older version:
Overview
Note: it is highly recommended that you are using Jenkins 1.580.1 or higher.
The console parser plugin parses the console log generated by the Jenkins build allowing for:
- parsing of the Jenkins build output
- displaying the number of errors, warnings, and information lines
- highlighting of errors, warnings , and info
- comparison of build logs
- separating the comparison log by sections
- collapsible sections for faster viewing
Set Up
Creating Parsing Rules
Making your own parsing rules file is simple. Just add any of the five categories below. To prevent a category from being parsed in the parsed output log, do not include them in the file. The file should have the extention ".properties" or ".txt".
Categories
- ERROR
- WARNING
- INFO
- HEADER
- ignore
Sample Parsing Rules
Notes
- Do not leave a property blank, i.e. "ERROR=", as this will cause parsing problems.
- To have multiple tags in the same category, separate them with a comma as seen above.
- The "ignore" category should be lowercase. Tags in this section will be ignored and not show up in the parsed output log.
- The "HEADER" category does not show up in the parsed output log.
Job Configuration
Adding Parsing Rules Files
To add parsing rules globally, go to the Configure System page. Under the Console Output Parsing section, click the add button to add provide a path and a name for your file. Once your file(s) are added, save the configuration.
You may also add parsing rules files directly in your software project.
Applying Parsing Rules
To apply a parsing rules file to your project, go to the Job Configuration page of the desired project.
If you select the "Global Rule" option, a drop down list will populate with the names of the files you added globally. If you did not add any files globally, the drop down list will be empty.
If you wish to apply a parsing rules file that is in your project, simply select the "Project Rule" option and provide a path to the file. For example, if your parsing rules file is located in your project at projectname/src/main/resources/parsing_rules.properties, and you're using the GitHub plugin, simply enter "projectname/src/main/resources/parsing_rules.properties" in the box.
Comparing Logs
- Checking the "Compare Logs" checkbox allows you to compare build logs against one another to view changes between them. Note that you can only compare a stable and unstable builds.
- Selecting the "Compare to last stable/unstable build" option will compare the current build (if marked as stable or unstable) to the last stable or unstable build.
- Choosing the "Compare to build specific build" option will display a box for you to enter the build number you wish to compare the current build to. Again, the comparison will only take place if the build number is a stable or unstable previous build.
Output
The plugin creates two pages if a comparison is done or one page if not comparing. These pages are accessible through the build summary page.
The "Parsed Console Output" page contains the parsed build log with the lines sorted by line number.
The "Parsed Output Comparison" page contains the comparison report with the lines sorted first by section and second by line number.
Both pages have buttons that allow you to hide and show the corresponding items and buttons for pagination. The parsed output log creates a page every 35 lines. The comparison report creates a page per section.
Attachments:
Compare To Build Number.PNG (image/png)
Compare To Last.PNG (image/png)
Parsed Output Expanded.PNG (image/png)
Comparison Page Expanded.PNG (image/png)
Parsed Output Expanded New.PNG (image/png)
Comparison Page Expanded New.PNG (image/png)
Comparison Page Expanded New.PNG (image/png)


C | |
| chan [Binary_session.IO] |
The abstract type representing a communication channel between two processes.
|
| chan_endpoint [Binary_session.IO] |
The abstract type representing one end of a communication channel.
|
| chan_endpoint [Binary_session.Binary_process] |
The abstract type representing one end of a communication channel.
|
I | |
| io [Binary_session.Binary_process] |
The abstract monadic type representing a computation returning
'a .
|
P | |
| process [Binary_session.Binary_process] |
The type representing a process returning a value of type
'a .
|
S | |
| session [Binary_session.Binary_process] |
The type representing a communication protocol made up of a sequence of operations between two processes.
|
T | |
| t [Binary_session.IO] |
The monadic light weight thread type returning value
'a .
|


--- layout: page title : Blog header : Blog group: navigation permalink: blog/ --- {% include JB/setup %} Blog At DoBots we all blog about a wide range of topics. Enjoy reading and feel free to contact us if you want to know more details! {% assign posts_collate = site.posts %} {% include JB/posts_collate %}
At DoBots we all blog about a wide range of topics. Enjoy reading and feel free to contact us if you want to know more details!


"SITNAH "strife, the second of the two wells dug by Isaac, whose servants here contended with the Philistines (Genesis 26:21). It has been identified with the modern Shutneh, in the valley of Gerar, to the west of Rehoboth, about 20 miles south of Beersheba.
"SITNAH "strife, the second of the two wells dug by Isaac, whose servants here contended with the Philistines (Genesis 26:21). It has been identified with the modern Shutneh, in the valley of Gerar, to the west of Rehoboth, about 20 miles south of Beersheba.


Kathleen Garcia
- Address: Km.14 Kaponga, Tublay Benguet
- Contact Number:<PHONE_NUMBER>3
- Best Time Day To Contact: Anytime
- E-mail Address<EMAIL_ADDRESS>- Date Of Birth: 26 July 1998
- Place Of Birth: Philippines
- Gender: Female:
Objective
To attain valuable knowledge and professional skills to complement Statistics in an ctual job environment.
Professional Skills
Adept in Microsoft Office(2003, 2007, 2010, 2013)
- Word
- Excel
- Power Point
- Publisher
Knowledge in Statistical Programming
- MS Excel
- R&R Studio
- SPSS
- Stata
- SAS
Capable of editing pictures, Videos, Files and presentation using different Microsoft Windows Applications.
Educational Background
- Tertiary: University of Cordilleras
- Secondary: Tublay School of Home Industries
- Elementary: Paoad Elementary School


'YOU GOT ME'
Rangers fan pranks Celtic ace Bolingoli with bum pic after star slid into girlfriend’s DMs
by Aidan ScottA RANGERS fan has pranked Boli Bolingoli with a picture of his BUM - after the Celtic star slid into his girlfriend's DMs.
The Belgian defender contacted fitness fanatic Emma Lonsdale, 23, in the early hours of Friday morning when he sent her a loveheart emoji on Instagram.
He complimented her on her physique but the Hoops ace got more than he bargained for when Emma's boyfriend Richard Lind, 29, replied later that day.
During the hilarious conversation, Richard - posing as Emma - told Bolingoli that she'd just finished off a session at the gym.
When Bolingoli said she looked like she was working hard on her bum, Richard asked if he wanted to see a better picture of it.
He then sent the defender an image of his OWN bum, but with Bolingoli then questioning whether it was Emma, Richard sent another full-body image to reveal it was actually him.
Speaking exclusively to SunSport, the couple, from Glasgow, lifted the lid on the funny interaction and highlighted that the Belgian even shared a laugh with them about it.
Richard said: "I was at work and Emma sent me a screenshot and we just kind of played it from there.
"We just carried it on as we got home and then just sent the photos!
"We didn't want to put it on anything but then I started getting random messages from a few boys saying it was in their work group chat, and that it was going wild."
Emma added: "Richard had sent it to his small group chat and they've obviously sent it on and it's been spread about.
"I've been getting messages off people that I don't even know like, 'this is so funny, it's in my group chat and I didn't realise it's your boyfriend'.
"I've been like, 'what?'"
Richard, a big Rangers fan, couldn't resist the chance to have a laugh at a Celtic player's expense, but praised Bolingoli for being a good sport.
He said: "I'm a Rangers fan so I thought right, we'll have a laugh with this.
"The majority of my pals are Rangers fans so it was just about having a laugh, and it's just went wild since then.
"He was a good sport with it. He'll get pounded for it for a laugh and that'll be it. If it got done to me I'd be absolutely howling!"
Images of the conversation have been liked nearly 3,000 times on Twitter while Emma has gained around 200 more followers on her Instagram account.
And while it has mostly been Rangers fans reacting to it, they aren't the only ones.
Richard added: "People have been saying it's brilliant. A few Rangers pages have shared it and hundreds of Rangers fans have been liking it.
"A Bolingoli page actually liked it as well!"
SunSport have contacted Celtic and Bolingoli for comment.


After graduating College I decided to follow my passion for professional table tennis. My desire for helping others and teaching took me in the direction of coaching. I take pride in the relationships I develop with my students and clients. One of my greatest accomplishments throughout my career has been the positive impact I have had on the lives of many of my young students.
I gained my first basic coding experience while seeking new ways to build our marketing division's user outreach at ICC. I quickly fell in love with the process of web development. I decided that I enjoyed coding enough that I would like to pursue it full-time. After self-studying and graduating a full-time Coding Bootcamp I am proficient in a wide range of coding languages and technologies.
I take pride in each step I take and my individual impact on a company. I believe technology has the power to shape society and positivity impact global culture. My goal is to be a part of the change that helps to make this world a more productive, and peaceful place.
I am proficient in three full development stacks: Python with Django and Flask Framework, MEAN stack and Java with Spring Framework.
MongoDB, Express, Angular, Node.JS
MongoDB, Express, React, Node.JS
Django and Flask Frameworks and MYSQL for Database
Spring Framework and MYSQl for Database


Team #
Team Nickname
Team Location
| Grabs Bins: | Data 1 | Broken Drive: | Data 9 | Grey Stacked: | Data 17 |
| Handles Bins: | Data 2 | Broken Pickup: | Data 10 | Bins Stacked: | Data 18 |
| Handles Yellow: | Data 3 | Good: | Data 11 | Highest Bin Lvl: | Data 19 |
| Moves to Auto: | Data 4 | Meh: | Data 12 | Coop Stack Matches: | Data 20 |
| Can Stack: | Data 5 | Bad: | Data 13 | Coop Set Matches: | Data 21 |
| Can Place Bins: | Data 6 | Yellows Moved: | Data 14 | High-Scoring Matches: | Data 22 |
| Can Move Litter: | Data 7 | Yellows Stacked: | Data 15 | Match Comments: | |
| Clumsy: | Data 8 | Bins Moved: | Data 16 | Robot Comments: |
| # | Red Alliance | Blue Alliance | Scores |
|---|


{% extends "base.html" %} {% block content %}
This is a very simple Flask Application example.
Here is a Mark Rothko painting:
Enter a rating (1-5) and an action for this picture.


Include Wikipedia code to hide (collapse) the synonym list
enter the URL for the species or genus from www.theplantlist.org
Enter synonym lines from TPL:
Output:


Hello! My name is Matti Jokitulppo and I'm a programmer currently stationed in Espoo, Finland. I'm currently getting my Master's degree in Computer Science at Aalto University and working at Reaktor as a developer. This is my website! Anyways, here's my resume, and down there you can look at some of the projects I've made, view the source code and all that good stuff. If you'd like to see more, take a look at my GitHub profile.
Works
Ach So! is a mobile app for Android and iOS for annotating videos for workplace learning I worked on during my work at Aalto University, as a part of the Learning Layers EU project.
The backend is a Ruby on Rails app, completed with some microservices written in Python and Go.
Technologies: Java Android/iOS Swift Ruby on Rails Go Python Docker
SoAR! is a mobile video call application for workplace communication and collaboration. It consists of a one-to-one video stream with a bi-directional drawing layer for enchanced communication.
Technologies: Node.js WebRTC Ionic Socket.IO PostgreSQL Angular
A simple top-down puzzle game about firemen in wheelchairs in volcanoes. Made together with Jonah Ahvonen.
The game is made in C++ using the SFML game development framework, and the back-end is a PHP app
Technologies: C++ SFML PHP
A top-down bullet hell action game in the vein of Ikaruga and Tapan Kaikki. Made together with Iiro Surakka. Can you tell I'm not good at naming things?
Technologies: Unreal Engine 4 3ds Max
At my internship, I worked on a modern, open-source brainstorming tool called Contriboard. It's basically a big board you can attach tickets to.
The front-end is a React/Flux single page application, and the backend is an Express.js/MongoDB REST API and a seperate Socket.IO microservice.
Technologies: Node.js MongoDB React SASS Socket.IO
As my thesis at JAMK University of Applied Sciences, I made a robot! It's controlled via an Android app through Bluetooth LE and an Arduino microcontroller.
It also has a lot of neat lights, a Raspberry Pi with webcam streaming live footage to the app, and it talks too!
Technologies: C++ Java Android Arduino
A multi-platform mobile application for companies to receive feedback about their services, developed with Phonegap and jQuery.
The backend is a MySQL database interfaced via a PHP REST API, made with Slim framework
Technologies: Phonegap LESS PHP JavaScript Node.js
Administrative interface for Jaxber, developed with Node.js / Express / Handlebars / Sass / jQuery.
Technologies: Node.js Sass jQuery JavaScript Docker
Contact
Got something to say? Let's get in touch.


At Dæmo we want to make task creation simple and intuitive. Get started now by choosing from one of our predesigned templates or by customizing your own.


Stop me if you've heard this one: Overly curious creative type indulges a variety of vocational interests before transitioning to a career in tech. Unique? Maybe not, but I just might be the perfect partner for your next tech project.
This section isn't ready for prime time yet, but in the meantime you can check out my GitHub profile. There you'll find the code for this website and others, as well as some Python programs I wrote for use with Anki's Cozmo robot.
Click the button below to see if I've set up my blog yet...


Preparation time
overnight
Cooking time
10 to 30 mins
Serves
Serves 4
This simple crab recipe is fast and fresh. The lemon and herbs make it ideal for any summer dinner party.
Heat the oil in a sauté pan and add the rosemary and garlic and cook for 1-2 minutes.
Cook the spaghetti according to the packet instructions, with a little of the infused oil added to the water. Drain well and set aside.
Take the rosemary and garlic out of the oil and drop in the fennel and asparagus to cook for 1 minute. Remove the fennel and garlic and set aside.
Heat the rest of the infused oil in a large frying pan. Add the shallot and cook over a medium heat until soft. Add the garlic, chilli and a splash of the wine to the pan and stir to combine. Add the crab, cooked fennel and asparagus and cooked spaghetti to the pan and bring to the boil. Season to taste and add a splash more wine if needed. Add the lemon zest and parsley and mix well. Remove the pan from the heat.
To serve, add the spaghetti to a bowl and season with the lemon juice and remaining herbs.


Hi. I'm Rafel Mormeneo.
And this is my Resume. Here you will find information about my career, education and the projects where I have been involved.
Learn about what I doAnd this is my Resume. Here you will find information about my career, education and the projects where I have been involved.
Learn about what I do


Running the webapp locally¶
You can run the same webapp available online locally.
After installing Aequitas, run the following command in your terminal.
python -m serve
You should see th output:
* Running on http://<IP_ADDRESS>:5000/ (Press CTRL+C to quit)
Load data¶
Use the browse ...
button to select a properly formated csv. (see input data) Hit upload
.
Customize report¶
choose attributes
these are automatically pulled out from the CSV
choose reference group
majority: for a given attribute use the majority group
min metric: for a given attribute use the group with the lowest scores as a baseline
custom group: pick groups to serve as reference
choose metrics you care about
Equal Parity
Proportional Parity
False Positive Parity
False Negative Parity
choose fairness threshold


API¶
quickavro.encoder module¶
-
class
quickavro.encoder.
BinaryEncoder
(schema=None, codec=’null’)[source]¶ The object used to implement binary Avro encoding in quickavro. It is used internally and is exposed in the quickavro Python API.
Parameters: - schema – (optional) Dictionary to use as Avro schema for this
BinaryEncoder
. - codec – (optional) Compression codec used with
BinaryEncoder
.
Example:
with quickavro.BinaryEncoder() as encoder: encoder.schema = { "type": "record", "name": "Person", "fields": [ {"name": "name", "type": "string"}, {"name": "age", "type": ["int", "null"]} ] } with open("test.avro, "wb") as f: f.write(encoder.header) for block in encoder.write_blocks(records): f.write(block)
- schema – (optional) Dictionary to use as Avro schema for this
quickavro.reader module¶
-
class
quickavro.reader.
FileReader
(f, header_size=8192)[source]¶ The
FileReader
object implementsquickavro.BinaryEncoder
and provides and interface to read Avro files.Parameters: f – File-like object or path of file that FileReader
will read from.Example:
with quickavro.FileReader("test.avro") as reader: for record in reader.records(): print(record)
quickavro.writer module¶
-
class
quickavro.writer.
FileWriter
(f, codec=’null’)[source]¶ The
FileWriter
object implementsquickavro.BinaryEncoder
and provides and interface to write Avro files.Parameters: - f – File-like object or path of file that
FileWriter
will write into. - codec – (optional) Compression codec used with
FileWriter
.
Example:
with quickavro.FileWriter("test.avro) as writer: writer.schema = { "type": "record", "name": "Person", "fields": [ {"name": "name", "type": "string"}, {"name": "age", "type": ["int", "null"]} ] } records = [ {"name": "Larry", "age": 21}, {"name": "Gary", "age": 34}, {"name": "Barry", "age": 27}, {"name": "Dark Larry", "age": 1134}, {"name": "Larry of the Void", "age": None}, ] for record in records: writer.write_record(record)
- f – File-like object or path of file that


Hawaii man proposes to girlfriend while surfing
by The Associated Press, StaffHONOLULU -- A Hawaii man was surfing with his girlfriend when -- instead of hanging 10 -- he knelt down on one knee on his board and proposed.
Hawaii News Now reported that Lauren Oiye said yes just before Chris Garth dropped the ring in the ocean.
Multiple photographers nearby captured the Sunday moment.
Luckily, he had a spare.
Garth said he knew it could go wrong, so he used a stand-in while they were out in the water. The real ring was on shore at Queen's Beach in Waikiki, where the two met years before.
Details about the rings were not released.
In this Sunday, Nov. 10, 2019 photo, Chris Garth and Lauren Oiye celebrate after Garth proposed while both were surfing off Queen's Beach in Waikiki in Honolulu.


e-encylopedia doesn't work very well without JavaScript.
We're all for progressive enhancement, but e-encylopedia is a bit unique in that it's all about writing and showing front end code, including HTML. It's required to use most of the features of e-encylopedia.


Reading Fun
Look for your favourite books!
Dashboard
Search By:
Title
ISBN
Author
Search
Search Results
No results found.
No
ISBN
Title
Author


 We have facilities for your children no matter their age! Ensuring the safety and wellbeing of the kids within Cornerstone Church is amongst our highest priorities.
We have a parent’s room where parents can look after their young children aged between 0 and 18 months and still listen to the sermon via a live audio feed. This room is stocked with tea and coffee and some toys for the little ones!
We have a team of trained kids work volunteers to look after children, over 18 months, throughout the service. Each week the children follow an engaging, gospel centred programme. They are encouraged to have fun and be creative all whilst learning more of who Jesus. All you have to do is sign them in at the “Check in” area and sign them back out at 12pm, the kids work team will do the rest!
We have recently begun working with a group of young people just outside the city centre in Hebburn. We provide a youth club on a Friday night from 7pm, this has been a wonderful opportunity to engage with the community in Hebburn and introduce people to Jesus! To find out more or get involved chat to the church pastors.


{% extends "base.html" %} {% block content %}
Short link
You can play cards for as long as you like! Set it down for a while and keep on going. Just remember to view the card like this and you can get the link again, you know?


These examples are really just extensions of DnD Sortable Lists.
These toolbars represent a rough proof-of-concept. More like a "Golly gee, look what I can do" than an actually suggestion for how to do something. So in this case, golly gee, you can rearrange the toolbar buttons...
|
|
|
The horizontal toolbar is built from an identical list as the vertical toolbar. Different CSS styles make the difference.


Please see the User Guide (PDF) for complete details about IntelliKeys USB.
If you are using IntelliKeys USB with a Windows operating system or Macintosh
OSX (10.5 and above), the Control Panel includes an Applications tab that
allows you to attach overlays to most applications on your system. Once you have
attached an overlay to an application, that overlay is sent whenever the
application is active.
We provide technical support over the phone, by fax, and by email.
Technical support comes free of charge. Our technical support staff
is trained to listen to and understand your concerns, and help you
find a solution.
Please try to be at your computer when calling technical support.
Phone: (9:00am to 7:00 pm Eastern Time, Monday through Friday)
800-894-5374 (USA and Canada)
781-276-0600 (all other countries)
Email<EMAIL_ADDRESS>(for technical information)
Email<EMAIL_ADDRESS>(for general information)


Always keep your passwords random.
Created 03-14-2020
See it on GitHub See it Deployed LiveThink you can fill in the blanks?
Created 03-28-2020
See it on GitHub See it Deployed LiveKeep track of your schedule, one day at a time.
Created 04-04-2020
See it on GitHub See it Deployed LiveEnter a city name to check the weather.
Created 04-11-2020
See it on GitHub See it Deployed LiveEnter information to generate your own README.
Created 05-02-2020
See it on GitHub See it Deployed LiveGenerate profiles for your employees.
Created 05-09-2020
See it on GitHub See it Deployed LiveCreate, save, store, and delete custom notes.
Created 05-16-2020
See it on GitHub See it Deployed LiveKeep an updatable record of your employees.
Created 05-23-2020
See it on GitHub See it Deployed LiveEat the burger! nom-nom
Created 05-30-2020
See it on GitHub See it Deployed LiveA brief explanation for new-comers.
Created 06-01-2020
See it on GitHub See it Deployed Livedetails yet to come...
Created 08-05-2020
See it on GitHub See it Deployed Live


Pig Dice
Player One Name
Player Two Name
Play Pig Dice
Player One:
ROLL
HOLD
Roll:
Turn Score:
Total Score:
Player Two:
ROLL
HOLD
Roll:
Turn Score:
Total Score:


{% extends "!page.html" %} {% block body %} {% if 'dev' in release or 'rc' in release %}
Warning: This is a preview for Bottle-{{release}}, which is not released yet. Switch to the latest stable release?


STRUCTURE AND CODE
This week’s workshop will be looking at the structure of code in projects. It will include JavaScript, HTML and CSS.
I will go through ways to think about code, and how to take an idea and make it in code.
I will also walk through how to put a p5.js project on a web page, and then use that example to go through how to create separate JavaScript and CSS files for a web page.
When you have an idea, you want to create that uses coding, it can be hard to break it down into the code you need. I’m going to break down an everyday action and then think how I would write that in code.
THINKING ABOUT CODE
When you have an idea, you want to create that uses coding, it can be useful to break it down into the actions and work out the code you need.
Things we do every day can be broken down into individual actions, just like when you have an idea you want to code. It can be interesting to think about an everyday action to work out what the steps would be if it were coded, so that’s what I’m going to run through
I’m going to think about making a cup of tea. The stages I go through when I make a cup of tea are:
Turn the kettle on if it has water in it, if not fill it with water and then turn it on. Get a mug out of the cupboard and put a teabag in it.
From Idea to realization
In this video I’m going to take a very simple idea and then show you how to think about creating it. The idea is that when someone writes some text in the browser that text will appear on the web page.
So, if I break this down and draw it out, I’ll have a place that the text on the page will go, then I need somewhere for people to input text.
Publishing a Web Site on GitHub
This video is about publishing a static website using GitHub, you will need to have a GitHub account to do this. I will use the p5.js web page as an example.
There are lots of options for publishing a web sites, and which one you choose might depend on what you want your web site to do. For example, if you’ve created a Node.js application you would need to host it on a platform such as Heroku, Firebase, digital ocean or Amazon Web Services (AWS), you can also host on glitch depending on the complexity of the application.
If you want to publish static webs sites there are plenty of options for hosting them, they will normally be a fee for hosting and then a yearly fee if you buy a URL.
If you want to publish static webs sites there are plenty of options for hosting them, they will normally be a fee for hosting and then a yearly fee if you buy a URL.
And there is GitHub pages, which I will go through today, which is free and lets you host a web site straight from your GitHub repository.
This video assumes you have your own GitHub account and git on your computer and that you have set it up so you can push content to your GitHub account through a terminal window. I’ll be using visual studio code as well; this has an inbuilt way to use git and push to GitHub.
If you don’t know how to push content to GitHub let me know.
You can have one pages site per GitHub account, but you can link other repositories to the site, I’ll show you do that later.
Importing data to your web page
This video will go through how you can import data files into your web page with JavaScript. The two types of data files I will go through are CSV and JSON
CSV stands for comma separated values. CSV is one of the options you can save data from in a spread sheet. Each value from the spreadsheet is separated by a comma, and each line in the CSV file is a separate line in the spreadsheet.
So, if you compare the lines of a spreadsheet on the left with the CSV file on the right you can see there is a line for each line of data, and each piece of data is separated by a comma.
JSON stands for JavaScript Object Notation and uses key value pairs to structure the data. Curley braces show the start and end of the objects, and objects can be elements as can arrays, as seen in this example.
It is harder to create JSON as it isn’t easily exported from a spreadsheet, there are online resources for converting a CSV to JSON.
In this project I am using a JavaScript library called JQuery and using JQuery functions to bring the data into the web page. JQuery is a popular JavaScript library as it shortens the code, I used to use it a lot when I first leaned JavaScript, but then went to vanilla JavaScript as I found it helped me understand JavaScript better, it is a useful library though.


---
layout: default
title: Colin Scott
navbar: life
description: Random Tidbits
---
Work
-
I lived in India for two years, where I was part of Microsoft Research. I
spent most of my time working on improving
the user experience and business model of device-to-device file sharing. I had
the opportunity to present this work to Satya Nadella and the Senior
Leadership Team at Microsoft.
-
I interned with the
mobile web performance team at
Google the summer of 2013 and the summer of 2014.
-
I interned with the control cluster team at Nicira (acquired by VMware July 2012) the
summer of 2012.
-
I interned with the CloudFront team at Amazon
Web Services the summer of 2010.
Teaching and Mentorship
-
Microsoft Research India has a fantastic research fellow and internship
program for students hoping to gain research experience. I got the chance to
work with six budding computer scientists and designers: Chirantan Mahipal
(now a graduate student at UIUC),
Sudheesh Singanamalla,
Venkatesh Potluri (now a graduate
student at UW),
Nithin Ramachandrappa,
Sanket Shah,
and
Venkatesh Balasubramanian.
-
I've had the opportunity to work with some of the smartest undergrads at Cal:
Jamshed Vesuna, who
joined Robin Hood, Andrew Or,
who spent two years at Databrix and will soon be joining Princeton's PhD
program,
Sam Whitlock, who joined
EPFL's PhD program, Chih Hu,
who is now at VMware,
Eugune Huang, who is now at Box,
and Jefferson Lai, who is now a master's student at Berkeley.
- I was a TA for Sylvia Ratnasamy's undergraduate networking
course, taught Fall 2013.
-
I was a TA for
Scott
Shenker's undergraduate
networking course, taught Fall 2012.
- Here are some useful resources:
Play
-
I love travelling. Here are the places I've been.
-
Several of my blog posts have topped Hacker News, make sure to check them
out!


|
keigeki
1.0.0
傾撃
|
#import <CCActionInterval.h>
Instance Methods | |
| (id) | - initOne:two: |
| Instance Methods inherited from CCActionInterval | |
| (id) | - initWithDuration: |
| (BOOL) | - isDone |
| (CCActionInterval *) | - reverse |
Class Methods | |
| (id) | + actions: |
| (id) | + actionWithArray: |
| (id) | + actionOne:two: |
| (id) | + actionsWithArray: |
| Class Methods inherited from CCActionInterval | |
| (id) | + actionWithDuration: |
Protected Attributes | |
| CCFiniteTimeAction * | one_ |
| CCFiniteTimeAction * | two_ |
| Protected Attributes inherited from CCActionInterval | |
| ccTime | elapsed_ |
| BOOL | firstTick_ |
| Protected Attributes inherited from CCFiniteTimeAction | |
| ccTime | duration_ |
| duration in seconds | |
| Protected Attributes inherited from CCAction | |
| id | originalTarget_ |
| id | target_ |
| NSInteger | tag_ |
Additional Inherited Members | |
| Properties inherited from CCActionInterval | |
| ccTime | elapsed |
Spawn a new action immediately
| + (id) actionOne: | (CCFiniteTimeAction*) | one | |
| two: | (CCFiniteTimeAction*) | two | |
creates the Spawn action
| + (id) actions: | (CCFiniteTimeAction*) | action1 | |
| , | NS_REQUIRES_NIL_TERMINATION | ||
helper constructor to create an array of spawned actions
| + (id) actionWithArray: | (NSArray*) | arrayOfActions |
helper contructor to create an array of spawned actions given an array
| - (id) initOne: | (CCFiniteTimeAction*) | one | |
| two: | (CCFiniteTimeAction*) | two | |
initializes the Spawn action with the 2 actions to spawn


| Standings | |||||
| 2008 | |||||
| Teams | 1st Half Points | 1st Half Wins | 1st Half Rank | 1st Half Leader | Points |
| Team 1 | 41 | 19 | 2 | Team 5 | 47 |
| Team 2 | 32 | 12 | 5 | ||
| Team 3 | 36 | 15 | 4 | ||
| Team 4 | 39 | 17 | 3 | ||
| Team 5 | 47 | 21 | 1 | ||
| Team 6 | 29 | 10 | 6 | ||
| Teams | 2nd Half Points | 2nd Half Wins | 2nd Half Rank | 2nd Half Leader | Points |
| Team 1 | 35 | 14 | 4 | Team 4 | 50 |
| Team 2 | 33 | 12 | 5 | ||
| Team 3 | 33 | 13 | 5 | ||
| Team 4 | 50 | 19 | 1 | ||
| Team 5 | 40 | 16 | 2 | ||
| Team 6 | 37 | 13 | 3 |


04 October 2002
Disease Outbreak Reported
The Ministry of Health has officially confirmed a total of 12 cases of yellow fever in Mbaké département, which includes the city of Touba with 800 000 inhabitants. The cases have been laboratory confirmed by the Institut Pasteur, Dakar. The Ministry of Health has started to take measures to contain the outbreak: a vaccination campaign began on 1 October and a vector control campaign is being carried out within the city.
A national investigation team and entomologists from the Institut Pasteur, Dakar will be travelling to Touba to assess the outbreak. WHO has offered assistance to the Ministry of Health with the implementation of the vaccination campaign, surveillance and other containment measures.


I am passionate about creating new ideas & to be unique.
I specialize in web design, UI and UX design and of course... front-end development.
A small river named Duden flows by their place and supplies it with the necessary regelialia. It is a paradisematic country, in which roasted parts of sentences fly into your mouth.
A small river named Duden flows by their place and supplies it with the necessary regelialia. It is a paradisematic country, in which roasted parts of sentences fly into your mouth.
A small river named Duden flows by their place and supplies it with the necessary regelialia. It is a paradisematic country, in which roasted parts of sentences fly into your mouth.
A small river named Duden flows by their place and supplies it with the necessary regelialia. It is a paradisematic country, in which roasted parts of sentences fly into your mouth.
4th Street, Sankarapuram, Sithalapakkam, Chennai


Line breaking is based on three concepts:
bh
fires a new line within box
b
, then the indentation of the new line is simply the sum of:
the current indentation of box b
+
the additional box breaking indentation, as defined by box b
+
the additional hint breaking indentation, as defined by break
hint bh
.There are 4 types of boxes. (The most often used is the "hov" box type, so skip the rest at first reading).
Format.open_hbox
procedure): within this box, break hints do not
lead to line breaks.Format.open_vbox
procedure): within this box, every break hint lead
to a new line.Format.open_hvbox
procedure): if it is possible, the entire box
is written on a single line; otherwise, every break hint within the box
leads to a new line.Format.open_box
or Format.open_hovbox
procedures): within this
box, break hints are used to cut the line when there is no more room on the
line. There are two kinds of "hov" boxes, you can find the details below.
In first approximation, let me consider these two kinds of "hov" boxes as
equivalent and obtained by calling the Format.open_box
procedure.Let me give an example. Suppose we can write 10 chars before
the right margin (that indicates no more room). We represent any
char as a -
sign; characters [
and ]
indicates the opening and closing of a box and b
stands
for a break hint given to the pretty-printing engine.
The output "--b--b--" is displayed like this (the b
symbol
stands for the value of the break that is explained below):
Within a "h" box:
--b--b--
Within a "v" box:
--b
--b
--
Within a "hv" box:
If there is enough room to print the box on the line:
--b--b--
But "---b---b---" that cannot fit on the line is written
---b
---b
---
Within a "hov" box:
If there is enough room to print the box on the line:
--b--b--
But if "---b---b---" cannot fit on the line, it is written as
---b---b
---
The first break hint does not lead to a new line, since there is enough room on the line. The second one leads to a new line since there is no more room to print the material following it. If the room left on the line were even shorter, the first break hint may lead to a new line and "---b---b---" is written as:
---b
---b
---
Break hints are also used to output spaces (if the line is not split when the
break is encountered, otherwise the new line indicates properly the separation
between printing items). You output a break hint using print_break sp indent
,
and this sp integer is used to print "sp" spaces. Thus print_break sp ...
may
be thought as: print sp
spaces or output a new line.
For instance, if b is break 1 0
in the output "--b--b--", we get
within a "h" box:
-- -- --
within a "v" box:
--
--
--
within a "hv" box:
-- -- --
or, according to the remaining room on the line:
--
--
--
and similarly for "hov" boxes.
Generally speaking, a printing routine using "format", should not directly
output white spaces: the routine should use break hints instead. (For instance
print_space ()
that is a convenient abbreviation for print_break 1 0
and
outputs a single space or break the line.)
The user gets 2 ways to fix the indentation of new lines:
When defining the box: when you open a box, you can fix the indentation added to each new line opened within that box.
For instance: open_hovbox 1
opens a "hov" box with new lines indented 1 more
than the initial indentation of the box. With output "---[--b--b--b--", we
get:
---[--b--b
--b--
with open_hovbox 2, we get
---[--b--b
--b--
Note: the [ sign in the display is not visible on the screen, it is just there to materialise the aperture of the pretty-printing box. Last "screen" stands for:
-----b--b
--b--
When defining the break that makes the new line. As said above, you output
a break hint using print_break sp indent
. The indent
integer is used to fix
the additional indentation of the new line. Namely, it is added to the default
indentation offset of the box where the break occurs.
For instance, if [ stands for the opening of a "hov" box with 1 as extra
indentation (as obtained by open_hovbox 1
), and b is print_break 1 2
, then
from output "---[--b--b--b--", we get:
---[-- --
--
--
The "hov" box type is refined into two categories.
Format.open_hovbox
procedure): break hints are used to cut the line when
there is no more room on the line; no new line occurs if there is enough room
on the line.Format.open_box
procedure): similar to the "hov" packing box, the break
hints are used to cut the line when there is no more room on the line; in
addition, break hints that can show the box structure lead to new lines even if
there is enough room on the current line.The difference between a packing and a structural "hov" box is shown by a
routine that closes boxes and parentheses at the end of printing: with packing
boxes, the closure of boxes and parentheses do not lead to new lines if there
is enough room on the line, whereas with structural boxes each break hint will
lead to a new line. For instance, when printing
"[(---[(----[(---b)]b)]b)]", where "b" is a break hint without extra
indentation (print_cut ()
). If "[" means opening of a packing "hov" box
(Format.open_hovbox
), "[(---[(----[(---b)]b)]b)]" is printed as
follows:
(---
(----
(---)))
If we replace the packing boxes by structural boxes (Format.open_box
), each
break hint that precedes a closing parenthesis can show the boxes structure, if
it leads to a new line; hence "[(---[(----[(---b)]b)]b)]" is printed like
this:
(---
(----
(---
)
)
)
When writing a pretty-printing routine, follow these simple rules:
open_*
and
Format.close_box
must be nested like parentheses).print_space ()
),
unless you explicitly don't want the line to be broken here. For instance,
imagine you want to pretty print an OCaml definition, more precisely a let rec
ident = expression
value definition. You will probably treat the first three
spaces as "unbreakable spaces" and write them directly in the string constants
for keywords, and print "let rec"
before the identifier, and similarly write
=
to get an unbreakable space after the identifier; in contrast, the space
after the =
sign is certainly a break hint, since breaking the line after =
is a usual (and elegant) way to indent the expression part of a definition. In
short, it is often necessary to print unbreakable spaces; however, most of the
time a space should be considered a break hint.Format.force_newline
: this
procedure effectively leads to a newline, but it also as the unfortunate side
effect to partially reinitialise the pretty-printing engine, so that the rest
of the printing material is noticeably messed up.print_newline ()
call, that flushes the
pretty-printer tables (hence the output). (Note that the top-level loop of the
interactive system does it as well, just before a new input.)The format module provides a general printing facility "a la" printf. In addition to the usual conversion facility provided by printf, you can write pretty-printing indications directly inside the format string (opening and closing boxes, indicating breaking hints, etc).
Pretty-printing annotations are introduced by the @
symbol, directly into the
string format. Almost any function of the Format
module can be called from
within a printf
format string. For instance
@[
" open a box (open_box 0). You may precise the type as an extra
argument. For instance @[<hov n>
is equivalent to open_hovbox n
.@]
" close a box (close_box ()
).@
" output a breakable space (print_space ()
).@,
" output a break hint (print_cut ()
).@;<n m>
" emit a "full" break hint (print_break n m
<EMAIL_ADDRESS>" end the pretty-printing, closing all the boxes still opened
(print_newline ()
).For instance
printf "@[<1>%s@ =@ %d@ %s<EMAIL_ADDRESS>"Prix TTC" 100 "Euros";; Prix TTC = 100 Euros - : unit = ()
Let me give a full example: the shortest non trivial example you could imagine, that is the lambda calculus :)
Thus the problem is to pretty-print the values of a concrete data type that models a language of expressions that defines functions and their applications to arguments.
First, I give the abstract syntax of lambda-terms:
type lambda = | Lambda of string * lambda | Var of string | Apply of lambda * lambda ;;
I use the format library to print the lambda-terms:
open Format;; let ident = print_string;; let kwd = print_string;; val ident : string -> unit = <fun> val kwd : string -> unit = <fun> let rec print_exp0 = function | Var s -> ident s | lam -> open_hovbox 1; kwd "("; print_lambda lam; kwd ")"; close_box () and print_app = function | e -> open_hovbox 2; print_other_applications e; close_box () and print_other_applications f = match f with | Apply (f, arg) -> print_app f; print_space (); print_exp0 arg | f -> print_exp0 f and print_lambda = function | Lambda (s, lam) -> open_hovbox 1; kwd "\\"; ident s; kwd "."; print_space(); print_lambda lam; close_box() | e -> print_app e;; val print_app : lambda -> unit = <fun> val print_other_applications : lambda -> unit = <fun> val print_lambda : lambda -> unit = <fun>
We use the fprintf
function to write the most versatile version of the
pretty-printing functions for lambda-terms. Now, the functions get an extra
argument, namely a pretty-printing formatter (the ppf argument) where printing
will occur. This way the printing routines are more general, since they can
print on any formatter defined in the program (either printing to a file, or to
stdout
, to stderr
, or even to a string). Furthermore, the pretty-printing
functions are now compositional, since they may be used in conjunction with the
special %a
conversion, that prints a fprintf
argument with a user's supplied
function (these user's supplied functions also have a formatter as first
argument).
Using fprintf
, the lambda-terms printing routines can be written as follows:
open Format;; let ident ppf s = fprintf ppf "%s" s;; let kwd ppf s = fprintf ppf "%s" s;; val ident : Format.formatter -> string -> unit val kwd : Format.formatter -> string -> unit let rec pr_exp0 ppf = function | Var s -> fprintf ppf "%a" ident s | lam -> fprintf ppf "@[<1>(%a)@]" pr_lambda lam and pr_app ppf = function | e -> fprintf ppf "@[<2>%a@]" pr_other_applications e and pr_other_applications ppf f = match f with | Apply (f, arg) -> fprintf ppf "%a@ %a" pr_app f pr_exp0 arg | f -> pr_exp0 ppf f and pr_lambda ppf = function | Lambda (s, lam) -> fprintf ppf "@[<1>%a%a%a@ %a@]" kwd "\\" ident s kwd "." pr_lambda lam | e -> pr_app ppf e ;; val pr_app : Format.formatter -> lambda -> unit val pr_other_applications : Format.formatter -> lambda -> unit val pr_lambda : Format.formatter -> lambda -> unit
Given those general printing routines, procedures to print to stdout
or
stderr
is just a matter of partial application:
let print_lambda = pr_lambda std_formatter;; let eprint_lambda = pr_lambda err_formatter;; val print_lambda : lambda -> unit val eprint_lambda : lambda -> unit


224 Albany Street
70 Pacific Street Dormitory
Alpha Chi Omega (ACO)
Alpha Delta Phi (ADP)
Alpha Epsilon Phi (AEPhi)
Alpha Epsilon Pi (AEPi)
Alpha Phi (AP)
Alpha Tau Omega (ATO)
Alumni Houses: Munroe Hayden Wood
Alumni Houses: Walcott Bemis Goodale
Ashdown House
Baker House
Beta Theta Pi (BTP)
Beta Theta Pi Annex (BTP)
Bexley Hall
Building W2
Burton-Conner House
Chi Phi (CP)
Chocolate City
Delta Kappa Epsilon (DKE)
Delta Psi (DP), Number Six
Delta Tau Delta (DTD)
Delta Upsilon (DU)
Deutsches Haus
East Campus: Bemis
East Campus: East Parallel
East Campus: Goodale
East Campus: Hayden
East Campus: Munroe
East Campus: Walcott
East Campus: West Parallel
East Campus: Wood
Eastgate
Edgerton House
Epsilon Theta (ET)
Fenway House (FH)
French House
German House
Green Hall
iHouse
Kappa Sigma (KS)
La Casa
La Maison Française
Lambda Chi Alpha (LCA)
MacGregor House
McCormick Hall
New House
Next House
Nu Delta (ND)
Phi Beta Epsilon (PBE)
Phi Delta Theta (PDT)
Phi Kappa Sigma (PKS)
Phi Kappa Theta (PKT)
Phi Sigma Kappa (PSK)
Phi Sigma Kappa Annex (PSK)
Pi Lambda Phi (PLP)
pika
Random Hall
Senior House
Sidney-Pacific Dorm
Sigma Chi (SC)
Sigma Kappa (SK)
Sigma Nu (SN)
Sigma Phi Epsilon (SPE)
Sigma Phi Epsilon Annex (SPE)
Simmons Hall
Spanish House
Student House (SH)
Tang Hall
Tau Epsilon Phi (TEP)
Theta Chi (TC)
Theta Delta Chi (TDC)
Theta Xi (TXi)
Warehouse Apartments
Westgate
Westgate (ABC)
Westgate (DE)
Westgate (FG)
Westgate (HJK)
WILG
Women's Independent Living Group
Zeta Beta Tau (ZBT)
Zeta Psi (ZP)
Campus map provided by Department of Facilities and Information Services & Technology


This module provides a tree view of the data that it is provided, with nodes in that tree and leaves. Unlike grouping, the tree is an inherent property of the data and must be provided with your data array.
TreeView uses treeBase for the underlying functionality, and is a very thin wrapper around
that logic. Most of the design information has now moved to treebase.


--- layout: post title: Deep Learning - Use gradient decent with linear regression category: machine-learning tag: [python, deep-learning] --- {% include JB/setup %}
In this note, I am going to train a linear regression model with gradient decent
estimation.
It might look pretty easy but it's very helpful to increase the understanding of the basics of Deep Learning.
This note will covere:
Here we are generating 20 data points from a uniform distribution of (0, 1). True model is y = 2x. We added random noise with variance of 0.2.
import numpy
import matplotlib.pyplot as plt
%matplotlib inline
numpy.random.seed(seed=1)
x = numpy.random.uniform(0, 1, 20)
# real model
def f(x): return x * 2
noise_variance = 0.2 # Variance of the gaussian noise
# Gaussian noise error for each sample in x
noise = numpy.random.randn(x.shape[0]) * noise_variance
# Create targets t
t = f(x) + noise
# Plot the target t versus the input x
plt.plot(x, t, 'o', label='t')
# Plot the initial line
plt.plot([0, 1], [f(0), f(1)], 'b-', label='f(x)')
plt.xlabel('$x$', fontsize=15)
plt.ylabel('$t$', fontsize=15)
plt.ylim([0,2])
plt.title('inputs (x) vs targets (t)')
plt.grid()
plt.legend(loc=2)
plt.show()
Model can be described as $y=x*w$. Note $t$ is our target data generated with noise. We can then define squared error cost as below: $$\xi = \sum_{i=1}^{N}\left \| t_{i} - y_{i}\right \|^{2} $$
and our goal is to minimize the loss: $$\underset{w}{argmin}\sum_{i}^{N}\left \| t_{i} - y_{i}\right \|^{2}$$
The grandient decent
can be defined as:
$$w(k+1) = w(k) - \Delta w(k)$$
$$\Delta w(k) = \mu\frac{\partial \xi}{\partial w} \;\;\; where \;\mu\; is\; learning\; rate$$
simplely apply chain rule
here:
$$\frac{\partial \xi }{\partial w} = \frac{\partial y}{\partial w} \frac{\partial \xi }{\partial y} $$
we know $$\frac{\partial \xi_{i} }{\partial y_{i}} = \frac{\partial (t_{i}-y_{i})^{2}}{\partial y_{i}}=2(y_{i}-t_{i})$$
and because $y=x*w$: $$\frac{\partial y_{i}}{\partial w_{i}}=x_{i}$$
so combine everything we will get: $$\Delta w = \mu * 2 * \sum_{i=1}^{N}x_{i}(y_{i}-t_{i})$$
# Define the neural network function y = x * w
def nn(x, w): return x * w
# Define the cost function
def cost(y, t): return ((t - y)**2).sum()
# define the gradient function. Remember that y = nn(x, w) = x * w
def gradient(w, x, t):
return 2 * x * (nn(x, w) - t)
# define the update function delta w
def delta_w(w_k, x, t, learning_rate):
return learning_rate * gradient(w_k, x, t).sum()
# Set the initial weight parameter
w = 0.1
# Set the learning rate
learning_rate = 0.1
# Start performing the gradient descent updates, and print the weights and cost:
nb_of_iterations = 4 # number of gradient descent updates
w_cost = [(w, cost(nn(x, w), t))] # List to store the weight,costs values
for i in range(nb_of_iterations):
dw = delta_w(w, x, t, learning_rate) # Get the delta w update
w = w - dw # Update the current weight parameter
w_cost.append((w, cost(nn(x, w), t))) # Add weight,cost to list
# Print the final w, and cost
for i in range(0, len(w_cost)):
print('w({}): {:.4f} \t cost: {:.4f}'.format(i, w_cost[i][0], w_cost[i][1]))
As you can see the $w$ is moving toward 2 with decreasing cost/loss.
# Plot the cost vs the given weight w
# Define a vector of weights for which we want to plot the cost
ws = numpy.linspace(0, 4, num=100) # weight values
cost_ws = numpy.vectorize(lambda w: cost(nn(x, w) , t))(ws) # cost for each weight in ws
# Plot the first 2 gradient descent updates
plt.plot(ws, cost_ws, 'r-') # Plot the error curve
# Plot the updates
for i in range(0, len(w_cost)-2):
w1, c1 = w_cost[i]
w2, c2 = w_cost[i+1]
plt.plot(w1, c1, 'bo')
plt.plot([w1, w2],[c1, c2], 'b-')
plt.text(w1, c1+0.5, '$w({})$'.format(i))
# Show figure
plt.xlabel('$w$', fontsize=15)
plt.ylabel('$\\xi$', fontsize=15)
plt.title('Gradient descent updates plotted on cost function')
plt.grid()
plt.show()
The sample codes in this note come from peterroelants.github.io where providing more details on neural netwrok and deep learning. It's very informative and highly recommanded. Here is more like my personal memo.


| Term | (p.o.s.) | Definition | Synonyms/Antonyms | Sentences |
| bias | (n.) | prejudice in favor of or against a thing or a group |
Syn: partisanship, favoritism
Ant: objectiveness, equality, fairness |
The mainstream media has repeatedly been accused of engaging in bias because of their left-leaning viewpoints. |
| perspective | (n.) | a particular attitude toward or way of regarding something |
Syn: viewpoint, position, interpretation
Ant: fact |
Anakin's declaration to Obi-Wani in which he states that "from [his] perspective, the Jedi are evil" characterizes his brainwashing fear of Padme's death. |
| compare | (v.) | to note the similarity between |
Syn: equate, juxtapose, analogize
Ant: contrast, differentiate |
If I were to compare Mr. Womack to Ms. Velazquez, I would say that they are essentially the same person when it comes to teaching methods. |
| contrast | (v.) | to differ strikingly |
Syn: differentiate, disagree with
Ant: compare, resemble, match |
If I were to contrast Mr. Womack to Ms. Velazquez, I would say that they have strikingly different personalities, as Velazquez is much calmer than the caffeinated Womack. |
| differentiate | (v.) | to note the difference(s) between |
Syn: contrast, justapose
Ant: equate, resemble, compare |
To differentiate between the different meanings of "differentiate," one must first acquire knowledge of basic calculus skills. |
| reinforce | (v.) | to strengthen or support |
Syn: fortify, brace
Ant: weaken |
It is important that we, the Resistance, reinforce our defenses against the Empire. |
| synthesize | (v.) | to combine into a coherent whole, especially with specific evidence for argument |
Syn: mix, compound
Ant: break apart, summarize |
I hope I did well to synthesize my evidence properly to form a coherent argument on my essay. |
| delineate | (v.) | to describe or portray (something) precisely |
Syn: outline, depict, define
Ant: hide, distort |
In an effort to deliniate my project to the teacher, I developed a simple demonstration to describe what I had done. |
| illustrate | (v.) | explain or make (something) clear via examples |
Syn: explain, demonstrate, clarify
Ant: falsify, summarize |
Let me illustrate my point: I believe we should rebuild tha chassis to make better room for the electronics, and I have a few pictures of other teams who have had the same idea as mine. |
| denotation | (n.) | the literal meaning of a word |
Syn: definition
Ant: connotation, imitation |
The denotation of the words "odor" and "aroma" are the same as they share the same dictionary definition. |
| connotation | (n.) | an idea or feeling that a word invokes |
Syn: hint, implication, nuance
Ant: denotation, literal meaning |
Despite sharing the same meaning, "odor" and "aroma" have different connotations because of how they are used in context: "odor" is usually bad, and "aroma" is usually good. |
| accolade | (n.) | an expression of praise or admiration |
Syn: compliment, privilege, recognition
Ant: criticism |
Gatsby has received an accolade from every Allied nation in Europe, even Monetenegro for his terrific service in the military. |
| hindrance | (n.) | (a thing) that obstructs |
Syn: obstacle, impediment, barrier
Ant: open doors, enabler |
Zero looked down at the small group of teenagers who had entered his laboratory, and with a smile he knew that they would not be a hindrance to his plans. |
| incessant | (adj.) | (of something unpleasant) continuing without pause or interruption |
Syn: ceaseless, unabating, persistent
Ant: intermittent, occasional |
My mother's incessant nagging ceased to hinder until I agreed to everything which she had said. |
| substantiate | (v.) | to provide evidence to support |
Syn: prove, uphold, justify
Ant: disprove, refute |
In order to have a good debate, it is imperative that the participants substantiate their facts with real evidence and logical analysis. |


--- layout: stats title: Alex Covington Statistics permalink: "/stats/players/alex-covington.html" ---
| Year | Team | Finish | G | 10 | -5 | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2013 | Georgia Tech | 8 | 12 | 7 | 1 | 65 | 5.42 |
| Year | Round | Player | Team | Opponent | Result | 10 | -5 | Pts | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2013 | 1 (Prelims) | Alex Covington | Georgia Tech | Yale A | Loss | 0 | 0 | 0 | VCU + Michigan |
| 2013 | 2 (Prelims) | Alex Covington | Georgia Tech | Stanford A | Win | 1 | 0 | 10 | Illinois A + Carleton |
| 2013 | 3 (Prelims) | Alex Covington | Georgia Tech | Chicago A | Win | 3 | 0 | 30 | Mich St + Ottawa + SCAR |
| 2013 | 5 (Prelims) | Alex Covington | Georgia Tech | Carleton | Win | 1 | 0 | 10 | MIT + GMU + Minnesota |
| 2013 | 6 (Prelims) | Alex Covington | Georgia Tech | Dartmouth A | Win | 1 | 0 | 10 | London + WUSTL |
| 2013 | 7 (Prelims) | Alex Covington | Georgia Tech | Michigan State | Win | 0 | 0 | 0 | Chicago A + Maryland + Penn B |
| 2013 | 8 (Prelims) | Alex Covington | Georgia Tech | VCU A | Win | 1 | 0 | 10 | Berkeley + Rice |
| 2013 | 9 (Prelims) | Alex Covington | Georgia Tech | WUSTL | Loss | 0 | 1 | -5 | Penn A + Harvard + Stanford |
| 2013 | 10 (Playoffs) | Alex Covington | Georgia Tech | Illinois A | Loss | 0 | 0 | 0 | Yale + Virginia + Ohio St |
| 2013 | 11 (Playoffs) | Alex Covington | Georgia Tech | Maryland A | Win | 0 | 0 | 0 | Alb + Dart + GT + NYU + NU |
| 2013 | 12 (Playoffs) | Alex Covington | Georgia Tech | Virginia A | Loss | 0 | 0 | 0 | Cheyne + Gupta + Carson |
| 2013 | 13 (Playoffs) | Alex Covington | Georgia Tech | Minnesota A | Win | 0 | 0 | 0 | Editors 1 |


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Dotcom Bubble
The dot.com bubble (also known as the dot.com boom, the tech bubble, and the Internet bubble) was a stock
market bubble caused by excessive speculation of Internet-related companies in the late 1990s, a period of
massive growth in the use and adoption of the Internet.
Between 1995 and its peak in March 2000, the Nasdaq Composite stock market index rose 400%, only to fall 78%
from its peak by October 2002, giving up all its gains during the bubble. During the crash, many online
shopping companies, such as Pets.com, Webvan, and Boo.com, as well as several communication companies, such
as Worldcom, NorthPoint Communications, and Global Crossing, failed and shut down. Some companies, such as
Cisco, whose stock declined by 86%, Amazon.com, and Qualcomm, lost a large portion of their market
capitalization but survived.
Prelude to the bubble
The 1993 release of Mo and subsequent web browsers during the following years gave computer users access
to the World Wide Web, popularizing use of the Internet. Internet use increased as a result of the reduction
of the "digital divide" and advances in connectivity, uses of the Internet, and computer education. Between
1990 and 1997, the percentage of households in the United States owning computers increased from 15% to 35%
as computer ownership progressed from a luxury to a necessity. This marked the shift to the Information Age,
an economy based on information technology, and many new companies were founded.
At the same time, a decline in interest rates increased the availability of capital. The Taxpayer Relief Act
of 1997, which lowered the top marginal capital gains tax in the United States, also made people more
willing to make more speculative investments. Alan Greenspan, then-Chair of the Federal Reserve, allegedly
fueled investments in the stock market by putting a positive spin on stock valuations. The
Telecommunications Act of 1996 was expected to result in many new technologies from which many people wanted
to profit.
Suddenly the low price of reaching millions worldwide, and the possibility of selling to or hearing from
those people at the same moment when they were reached, promised to overturn established business dogma in
advertising, mail-order sales, customer relationship management, and many more areas. The web was a new
killer app—it could bring together unrelated buyers and sellers in seamless and low-cost ways.
Entrepreneurs around the world developed new business models and ran to their nearest venture capitalist.
While some of the new entrepreneurs had experience in business and economics, the majority were simply
people with ideas, and did not manage the capital influx prudently. Additionally, many dot-com business
plans were predicated on the assumption that by using the Internet, they would bypass the distribution
channels of existing businesses and therefore not have to compete with them; when the established businesses
with strong existing brands developed their own Internet presence, these hopes were shattered, and the
newcomers were left attempting to break into markets dominated by larger, more established businesses.
Many did not have the ability to do so.
Bursting of Bubble
Around the turn of the millennium, spending on technology was volatile as companies prepared for the Year
2000 problem. There were concerns that computer systems would have trouble changing their clock and calendar
systems from 1999 to 2000 which might trigger wider social or economic problems, but there was virtually no
impact or disruption due to adequate preparation.
On January 10, 2000, America Online, led by Steve Case and Ted Leonsis, announced a merger with Time Warner,
led by Gerald M. Levin. The merger was the largest to date and was questioned by many analysts.
On January 30, 2000, almost 20 percent [12 ads] of the 61 ads for Super Bowl XXXIV were purchased by
dot-coms (however this estimate ranges from 12-19 companies depending on the source and the context in which
the term "dot-com" company implies). At that time, the cost for a 30-second commercial cost between $1.9
million and $2.2 million.
In February 2000, with the Year 2000 problem no longer a worry, Alan Greenspan announced plans to
aggressively raise interest rates, which led to significant stock market volatility as analysts disagreed as
to whether or not technology companies would be affected by higher borrowing costs.
On Friday March 10, 2000, the NASDAQ Composite stock market index peaked at 5,048.62.
On March 13, 2000, news that Japan had once again entered a recession triggered a global sell off that
disproportionately affected technology stocks.
On March 15, 2000, Yahoo! and eBay ended merger talks and the Nasdaq fell 2.6%, but the S&P 500 Index rose
2.4% as investors shifted from strong performing technology stocks to poor performing established stocks.
On March 20, 2000, Barron's featured a cover article titled "Burning Up; Warning: Internet companies are
running out of cash—fast", which predicted the imminent bankruptcy of many Internet companies. This led many
people to rethink their investments. That same day, MicroStrategy announced a revenue restatement due to
aggressive accounting practices. Its stock price, which had risen from $7 per share to as high as $333 per
share in a year, fell $140 per share, or 62%, in a day. The next day, the Federal Reserve raised interest
rates, leading to an inverted yield curve, although stocks rallied temporarily.
On April 3, 2000, judge Thomas Penfield Jackson issued his conclusions of law in the case of United States
v. Microsoft Corp. (2001) and ruled that Microsoft was guilty of monopolization and tying in violation of
the Sherman Antitrust Act. This led to a one-day 15% decline in the value of shares in Microsoft and a
350-point, or 8%, drop in the value of the Nasdaq. Many people saw the legal actions as bad for technology
in general. That same day, Bloomberg News published a widely read article that stated: "It's time, at last,
to pay attention to the numbers".
On Friday, April 14, 2000, the Nasdaq Composite index fell 9%, ending a week in which it fell 25%. Investors
were forced to sell stocks ahead of Tax Day, the due date to pay taxes on gains realized in the previous
year.
By June 2000, dot-com companies were forced to rethink their advertising campaigns.
On November 9, 2000, Pets.com, a much-hyped company that had backing from Amazon.com, went out of business
only nine months after completing its IPO. By that time, most Internet stocks had declined in value by 75%
from their highs, wiping out $1.755 trillion in value.
In January 2001, just three dot-com companies bought advertising spots during Super Bowl XXXV. The
September 11 attacks accelerated the stock-market drop later that year.
Investor confidence was further eroded by several accounting scandals and the resulting bankruptcies,
including the Enron scandal in October 2001, the WorldCom scandal in June 2002, and the Adelphia
Communications Corporation scandal in July 2002.
By the end of the stock market downturn of 2002, stocks had lost $5 trillion in market capitalization since
the peak. At its trough on October 9, 2002, the NASDAQ-100 had dropped to 1,114, down 78% from its peak.