READY TO RUMBLE A film review by Steve Rhodes Copyright 2000 Steve Rhodes RATING (0 TO ****): *** 1/2
Is it possible to parody a sport like wrestling, which is itself nothing but a parody?
In READY TO RUMBLE, director Brian Robbins, working from a hilarious script by Steven Brill, answers that question in the affirmative with the most outlandishly funny film since THERE'S SOMETHING ABOUT MARY. Aiming every shot for the bleachers, the cast and crew hit one homerun after another. With one over-the-top sequence after another, they make a film that you'll undoubtedly find either greatly awful or awfully great. The vast majority of our packed audience hooted and hollered and was clearly in the latter category, but there were a few walkouts, proving the film will not have quite universal appeal.
Gordie Boggs, played in a scene-stealing performance by David Arquette, and Sean Dawkins (Scott Caan) are two Port-a-Potty cleaners with an obsession for the sport of wrestling. They worship their hero, Jimmy King, with a religious fervor. King, the heavy-weight champion of the world, is going to be in town tonight to defend his crown against Diamond Dallas Page, who plays himself in the movie as do many other "real" wrestlers. (The recent, fascinating documentary, BEYOND THE MAT, chronicled the lives of some of these wrestlers.)
Oliver Platt (BULWORTH), in an inspired bit of unobvious casting, plays the king of the wrestling world, Jimmy King.
When we first meet King, dressed in cheap medieval robes, he enters the ring to a burst of fireworks as surprising music blasts out. More on that later. His bombastic speech pumps up his adoring fans in the crowd. "Do you want to see me make Diamond Dallas Page into one of my maids in waiting?" he bellows to a roaring audience.
What King doesn't know is that the slimy producer, Titus Sinclair (Joe Pantoliano), has secretly told Page not to follow the script. Page is to cheat by actually hurting King, who is an alcoholic and not the world's bravest athlete. Titus thinks King has gotten too big for his britches so he wants him taken down permanently, which Page does without too much trouble.
The movie's second act has our doofus duo out on a quest to find their hero and help him get the rematch that they think he deserves. Along the way they find that everything about King and the sport isn't what they thought. "It's a circus show with dancing clowns," King tries to explain to them, but they won't listen. They are going to get their man in shape for the big challenge against Page, no matter what it takes.
One of their secret weapons is Sal Bandini (Martin Landau), a wrestler of the old school when the sport involved real strength and skill.  Sal is the real McCoy that the King needs.
Sasha (Rose McGowan), the big-breasted member of the cheerleaders known as the Nitros, seems to be just what the over-sexed-but-under-loved Gordie needs. When he offers to show her a few moves on their big date, the sequence leads to an unusual "sex" scene.
The last act is, of course, the big match. It is as side-splittingly funny as the rest of the picture, which produces an uncountable number of uncontrollable laughs.
The movie's secret ingredient is its unusual choice of music. What sort of music comes to mind when you think of a bunch of sweaty guys trying to pulverize each other as a form of entertainment? Bet Richard Wagner didn't come to mind. Well, it did to the makers of READY TO RUMBLE, and proves a perfect match to this over-the-top production.
So what music does King use as his theme song and as his equivalent of the President's "Hail to the Chief?" Whenever King makes his entrance, the symphony's trumpets blare out with Aaron Copland's "Fanfare for the Common Man." Perfect.
READY TO RUMBLE runs 1:40. It is rated PG-13 for language, crude humor, sexuality, brief male rear nudity and wrestling violence. But, it's a hard PG-13. The movie would be fine for teenagers.
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| Name | Mobile | Problem | View Appointment | Cancel Appointment | |
|---|---|---|---|---|---|
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| Name | Mobile | Problem | View Appointment | Cancel Appointment | |
|---|---|---|---|---|---|
| {{doctorAppointment.patient.name}} | {{doctorAppointment.patient.mobile}} | {{doctorAppointment.patient.email}} | {{doctorAppointment.appointmentDesc}} |


--- layout: default title: Our Leadership ---
Bob Moul is CEO of Artisan. Previously, he was CEO of Boomi (acquired by Dell in 2014). Bob has also held senior positions at Systems and Computer Technology and EDS.
Josh is partner and founder at FirstRound Capital. Previously, Josh co-founded Infonautics Corporation and took it public in 1996. He founded Half.com (acquired by eBay in 2000) and helped found TurnTide (acquired by Symantec in 2004).
Gabe is founder & CEO of DuckDuckGo and co-author of Traction: A Startup Guide to Getting Customers. Previously he was the Co-founder & CEO of Opobox (acquired by United Online in 2006).
Wil Reynolds founded SEER Interactive, an online marketing agency, in 2002. He also sits on the advisory board of Convenant House, an organization that works with runaway youth in the Philly area.
Rick is CEO and co-founder of Guru. Previously, he co-founded Boomi in 2000 (acquired by Dell in 2010), and served as General Manager following the acquisition.
Bryan is the Finance Manager at Ticketleap and Supply Corps Officer in the U.S. Navy Reserve. He previously was a Senior Associate with PwC.


Before Change
if weights is not None and weights.shape != X.shape:
counts = counts * weights
else:
if any(attr is not None for attr in [axis, dtype]) or \
keepdims is not False:
raise ValueError("Arguments axis, dtype and keepdims"
"are not yet supported on sparse data!")
counts = _count_nans_per_row_sparse(X, weights)
return counts
After Change
// actually a vector (e.g. [[1 2 3]]), but has `ndim=2` due to scipy
// implementation
if axis is None or X.shape[0] == 1:
counts = counts.sum()
return counts


solarPanelAdoption
This is the documentation for the solarPanelAdoption model...
The documentation for "solarPanelAdoption.ModelInitializer" can be found
here
.


This article is based on research currently being conducted by author Maggie
Coblentz at the Rhode Island School of Design. The viewpoints in this article
reflect those of Coblentz, and will be further explored in her thesis, currently
in development, which examines the ways in which innovative food design can
improve the health and happiness of astronauts on long-term missions.
It’s 2034, and after nearly a year of travel, a crew of NASA astronauts have
entered low-Mars orbit. Here, they will perform research to learn more about
what it will take for humans to land – and stay – on Mars. With this
information, NASA will begin preparing for the final step in its decades-long
endeavor: successful descent, landing, and extended resource use on Mars. If all
goes according to plan, the astronauts will return to Earth in 2036.
Exciting as this may sound, there are still a multitude of challenges to be
overcome before a mission to Mars is possible. Of course, there are the
technical feats required to enter the planet’s orbit – not to mention the
profound financial cost of such an endeavor. But there’s also another factor to
consider, one that is often overlooked by those with big dreams of widespread
space travel: astronaut happiness.
Eating as Entertainment: Overcoming Boredom in Space
Boredom and depression are obstacles often faced by astronauts, particularly
those on long missions – a detail that has not been ignored by those looking to
Mars. Researchers are already studying the psychological and social effects of
long space missions. The Hawai’i Space Exploration Analog and Simulation
(HI-SEAS) Habitat, for example, is an analog habitat designed to mimic the
conditions of a mission to Mars. Campaigns last 4-12 months and see crew members
living together in close quarters and performing all the tasks associated with
habitation on Mars.
The first HI-SEAS study, conducted in 2013 for four months, focused on a
specific aspect of astronaut wellbeing: eating. In addition to comparing the
psychological and physiological benefits of two food systems, the study looked
at the feasibility of using hydroponics on Mars. Based on his experiences,
HI-SEAS crew commander Angelo Vermeulen reported a need for spices and herbs, as
well as comfort foods and higher-protein options.
The Challenges of Space Food
Some barriers to designing satisfying space food are better known than others.
It might be obvious, for example, that a spacecraft must be equipped with enough
non-perishable food items to feed a crew for the duration of their mission (plus
emergency stores), or even that eating certain foods without the aid of gravity
is difficult. But what about the other less-known challenges?
For starters, reduced gravity affects the fluid distribution in an astronaut’s
body upon arrival in space, leading to a change in taste perception, a temporary
effect that could be reduced or altered by promoting interactions between
different sensory modalities to improve taste perception. Additionally, while
NASA’s current space food system offers some variability in menu items, the
freeze-dried and pre-packaged MREs delivered in plastic bags do little to
disrupt monotony or emulate the experience of preparing food and eating on
Earth.


Use this command to save the active file using its current name and directory. When you attempt to save a newly created file that has not yet been saved, HexEdit displays the Save As dialog box so you can name the file. If you want to change the name and/or directory of an existing file, before you save it, choose the Save As command.
HexEdit allows you to create backup copies of files. Every time the file is saved the previous version of the file, if any, is saved with the same name except that the file extension is changed to “.BAK”. (If the file being saved has an extension of “.BAK” then the previous version is saved with an extension of “.BAC”.) The second most recent version, if any, is lost. Whether or not backup files are created is determined by setting options in the System Options page.
The save operation may take a long time due to the following reasons:
you have inserted or deleted bytes near the start of a large file - HexEdit must move a large part of the file internally
you have chosen to create a backup of a large file - HexEdit must make a copy of the file's data
you have performed operations on very large selections - HexEdit may have created large temporary files that need to be copied into the saved file
Shortcuts
Toolbar:
Keys: Ctrl+S


The best thing about a boolean is even if you are wrong, you are only off by a bit
Vulnerability Research Intern at Saptang Labs.
Tech Stack : Binary Exploitation, Web Application Security. Network Security
- Saptang Labs is a stealthmode Cybersecurity startup
- Developed multiple Proof-of-Concept exploits for vulnerabilities against certain products.
- POCs developed in the domain of Web Exploitation, Binary Exploitation and Network Security
Research Intern at NUS-Singtel CyberSecurity R&D Lab.
Tech Stack : Software Defined Networking, Denial of Sevice, OpenVSwitch, DPDK, C
- Principal Investigators : Dr. Dinil Mon Diwakaran (Trustwave), Dr. Min Suk Kang (School of Computing, NUS)
- Researched a feasibility study of Tuple Space Explosion Attack for Kernel and Userspace (DPDK) Drivers of OvS.
- Performed Source Code Review to gain insight into the inner workings of OvS for further development of the attack.
- Developed a novel Attack Scenario for mitigations provided to prevent Tuple Space Explosion
- Work documented in a paper presented at OpenVSwitch Fall 2020 Conference | Arxiv Paper
Summer Intern at GE Digital for GE Power.
Tech Stack : Amazon Web Services, Lambda, S3, Flask, Docker, Predix Edge
- Developed a cloud based Software Prototype for Streaming video for Video Analytics.
- Builta Data Producer to capture RTSP Streaming data for Edge Devices
- Developed a Client Application, to automate edge camera triggering, processing and display data.
GPA : 4.0/4.0*
CGPA : 8.64/10.00
A series of Proof-of-Concept Exploits written to access data from ERP, IIT Kharagpur. Bugs disclosed responsibly.
View ProjectDeveloped a new Natural Language Processing based paradigm to detect Code Injection attack attempts. Classification Model peaked at 97.5% accuracy with the ability to detect XSS, SQLi and CMDi.
Exploit for a CAN Bus, to avail scenarios such as Denial of Service and Frame Spoofing
Reference : "Error Handling of In-vehicle Networks Makes Them Vulnerable"
PING : Professor Information Gatherer. A Google Scholar Based, Information Retrieval System to gather Professor Information and Ranking based on Jaccard Similarity. Written in Python.
View ProjectA central repository built to store Question Papers, Notes, Slides, PDFs, etc. Backend developed in Django.
View Project
Term project for Software Engineering. Guided by Prof. Sudip Misra , Department of Computer Science and Engineering, IIT Kharagpur.
Created a Server and Client Based Application
for the ease and use of Security Guards and their Managers. Developed the code using the Waterfall Lifecycle Model. Developed UML Diagrams. Coded using Java.


######################## BEGIN LICENSE BLOCK ######################## # The Original Code is mozilla.org code. # # The Initial Developer of the Original Code is # Netscape Communications Corporation. # Portions created by the Initial Developer are Copyright (C) 1998 # the Initial Developer. All Rights Reserved. # # Contributor(s): # Mark Pilgrim - port to Python # # This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public # License as published by the Free Software Foundation; either # version 2.1 of the License, or (at your option) any later version. # # This library is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU # Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA # 02110-1301 USA ######################### END LICENSE BLOCK ######################### from .chardistribution import EUCKRDistributionAnalysis from .codingstatemachine import CodingStateMachine from .mbcharsetprober import MultiByteCharSetProber from .mbcssm import CP949_SM_MODEL class CP949Prober(MultiByteCharSetProber): def __init__(self): super(CP949Prober, self).__init__() self.coding_sm = CodingStateMachine(CP949_SM_MODEL) # NOTE: CP949 is a superset of EUC-KR, so the distribution should be # not different. self.distribution_analyzer = EUCKRDistributionAnalysis() self.reset() @property def charset_name(self): return "CP949" @property def language(self): return "Korean"


a
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o
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e
l
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<!--
-->
odds & evens
welcome to otherwhere
Some of my favorite albums:
Some Books I've Read:


|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object com.gracenote.gnsdk.GnObject com.gracenote.gnsdk.GnMoodgridPresentation
public class GnMoodgridPresentation
Experimental: GnMoodgridPresentation
| Method Summary | |
|---|---|
void |
addFilter(java.lang.String uniqueIdentifier,
GnMoodgridFilterListType elistType,
java.lang.String strValueId,
GnMoodgridFilterConditionType eConditionType)
Adds a filter to the presentation for the inclusion of a list type to include or exclude from the recommendations. |
GnMoodgridCoordinateType |
coordinateType()
Retrieves the coordinate type that defines the layout of the presentation. |
void |
delete()
|
GnMoodgridResult |
findRecommendations(GnMoodgridProvider provider,
GnMoodgridDataPoint position)
Generates recommendations for a given mood data point and provider. |
long |
findRecommendationsEstimate(GnMoodgridProvider provider,
GnMoodgridDataPoint position)
Generates a recommendations estimate for a given mood data point and provider. |
GnMoodgridPresentationType |
layoutType()
Retrieves the presentation type the defines the no. |
java.lang.String |
moodId(GnMoodgridDataPoint position)
Retrieves a mood id for the given data point in the presentation. |
java.lang.String |
moodName(GnMoodgridDataPoint position)
Retrieves a mood name as defined by the locale for a given data point in the presentation. |
GnMoodgridPresentationDataIterable |
moods()
Retrieves an iterator to access the Mood data points in this presentation. |
void |
removeAllFilters()
Removes all filters from the presentation |
void |
removeFilter(java.lang.String uniqueIdentifier)
Removes a filter from the presentation represented by the unique identifier. |
| Methods inherited from class com.gracenote.gnsdk.GnObject |
|---|
isNull |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Method Detail |
|---|
public void delete()
delete
in class GnObject
public GnMoodgridPresentationDataIterable moods() throws GnException
GnException
public GnMoodgridPresentationType layoutType() throws GnException
GnException
public GnMoodgridCoordinateType coordinateType()
public void addFilter(java.lang.String uniqueIdentifier, GnMoodgridFilterListType elistType, java.lang.String strValueId, GnMoodgridFilterConditionType eConditionType) throws GnException
uniqueIdentifier
- [in] : unique identifier for the presentation representing this filter.elistType
- [in] : list typestrValueId
- [in] : list value that is to be operated upon.eConditionType
- [in]: filter condition
GnException
public void removeFilter(java.lang.String uniqueIdentifier) throws GnException
uniqueIdentifier
- [in] : identifier that represents the filter to be removed.
GnException
public void removeAllFilters() throws GnException
GnException
public java.lang.String moodName(GnMoodgridDataPoint position) throws GnException
position
- [in] : data position
GnException
public java.lang.String moodId(GnMoodgridDataPoint position) throws GnException
position
- [in] : data position
GnException
public GnMoodgridResult findRecommendations(GnMoodgridProvider provider, GnMoodgridDataPoint position) throws GnException
GnMoodgridResult
.
provider
- [in] : moodgrid provider that the results must come from.position
- [in] : data point that represents the mood for which reccomendation are requested.
GnMoodgridResult
GnException
public long findRecommendationsEstimate(GnMoodgridProvider provider, GnMoodgridDataPoint position) throws GnException
provider
- [in] :moodgrid provider that the estimate must come from.position
- [in] : data point that represents the mood for which the estimate is requested.
GnException
|
||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


The project feeds until April, 18, 2018 can be found here.
Github Code
Related Work
Vibhatha Abeykoon, ISE PhD Student, Web
Jcs Kadupitya, ISE PhD Student, Web


| expect_snapshot_file {testthat} | R Documentation |
Whole file snapshot testing is designed for testing objects that don't have
a convenient textual representation, with initial support for images
(.png
, .jpg
, .svg
), data frames (.csv
), and text files
(.R
, .txt
, .json
, ...).
The first time expect_snapshot_file()
is run, it will create
_snaps/{test}/{name}.{ext}
containing reference output. Future runs will
be compared to this reference: if different, the test will fail and the new
results will be saved in _snaps/{test}/{name}.new.{ext}
. To review
failures, call snapshot_review()
.
We generally expect this function to be used via a wrapper that takes care of ensuring that output is as reproducible as possible, e.g. automatically skipping tests where it's known that images can't be reproduced exactly.
expect_snapshot_file(path, name = basename(path), binary = TRUE, cran = FALSE)
path |
Path to file to snapshot. |
name |
Snapshot name, taken from |
binary |
If |
cran |
Should these expectations be verified on CRAN? By default, they are not, because snapshot tests tend to be fragile because they often rely on minor details of dependencies. |
# To use expect_snapshot_file() you'll typically need to start by writing # a helper function that creates a file from your code, returning a path save_png <- function(code, width = 400, height = 400) { path <- tempfile(fileext = ".png") png(path, width = width, height = height) on.exit(dev.off()) code path } path <- save_png(plot(1:5)) path ## Not run: expect_snapshot_file(save_png(hist(mtcars$mpg)), "plot.png") ## End(Not run) # You'd then also provide a helper that skips tests where you can't # be sure of producing exactly the same output expect_snapshot_plot <- function(name, code) { # Other packages might affect results skip_if_not_installed("ggplot2", "2.0.0") # Or maybe the output is different on some operation systems skip_on_os("windows") # You'll need to carefully think about and experiment with these skips path <- save_png(code) expect_snapshot_file(path, paste0(name, ".png")) }


I am a student at Newman and took a coding class my Junior year. These are my friend's and my coding projects.
There's not too much more to say :) My favorite color is pink. I have brown hair. My favortie food is potatoes. My favorite animal at the moment is a bear. I know how to crochet. I play piano. I cannot sing for my life. I like visual art, math, science, and coding. I feel like those are where my skills are strongest.
This is my project! First pick the seeds of the plant you want, then move your mouse over the watering can to watch the water flow and your plant grow! If you want to choose a different plant, refresh the page.
Close ProjectCheck out John Brannon's projects and information! Make sure you see his smoll kangaroo bouncing particles game!
Close ProjectEmma's projects!!! Check out her pixel flowers froject and make a sunflower with dots!!!!
Close ProjectThis is my Newman doodle! Based on when google replaces its logo with a creative picture on a topic, this 'Newman Doodle' is an interactive map of the world where each country is indicted by its flag and if you scroll your mouse over certain regions, Newman has a comment. Click on 'Newman' for more information!
Close Project


Dashboard
| Product Name | Price | Sold | |
|---|---|---|---|
| Apple iPhone 4s - 16GB - Black | $625.50 | 809 | View |
| Samsung Galaxy S III SGH-I747 - 16GB | $915.50 | 6709 | View |
| Motorola Droid 4 XT894 - 16GB - Black | $878.50 | 784 | View |
| Regatta Luca 3 in 1 Jacket | $25.50 | 1245 | View |
| Samsung Galaxy Note 3 | $925.50 | 21245 | View |
| Inoval Digital Pen | $125.50 | 1245 | View |
| Metronic - Responsive Admin + Frontend Theme | $20.00 | 11190 | View |
| Product Name | Price | Views | |
|---|---|---|---|
| Metronic - Responsive Admin + Frontend Theme | $20.00 | 11190 | View |
| Regatta Luca 3 in 1 Jacket | $25.50 | 1245 | View |
| Apple iPhone 4s - 16GB - Black | $625.50 | 809 | View |
| Samsung Galaxy S III SGH-I747 - 16GB | $915.50 | 6709 | View |
| Motorola Droid 4 XT894 - 16GB - Black | $878.50 | 784 | View |
| Samsung Galaxy Note 3 | $925.50 | 21245 | View |
| Inoval Digital Pen | $125.50 | 1245 | View |
| Customer Name | Total Orders | Total Amount | |
|---|---|---|---|
| David Wilson | 3 | $625.50 | View |
| Amanda Nilson | 4 | $12625.50 | View |
| Jhon Doe | 2 | $125.00 | View |
| Bill Chang | 45 | $12,125.70 | View |
| Paul Strong | 1 | $890.85 | View |
| Jane Hilson | 5 | $239.85 | View |
| Patrick Walker | 2 | $1239.85 | View |
| Customer Name | Date | Amount | Status | |
|---|---|---|---|---|
| David Wilson | 3 Jan, 2013 | $625.50 | Pending | View |
| Amanda Nilson | 13 Feb, 2013 | $12625.50 | Pending | View |
| Jhon Doe | 20 Mar, 2013 | $125.00 | Success | View |
| Bill Chang | 29 May, 2013 | $12,125.70 | In Process | View |
| Paul Strong | 1 Jun, 2013 | $890.85 | Success | View |
| Jane Hilson | 5 Aug, 2013 | $239.85 | Canceled | View |
| Patrick Walker | 6 Aug, 2013 | $1239.85 | Success | View |