| Function | __init__ | Undocumented |
| Function | msg | Send a message to user or channel.
|
| Function | privmsg | Called when a PRIVMSG appears.
|
| Function | action | Called when someone performs an action.
|
| Function | signedOn | Undocumented |
| Function | kickedFrom | Some bastard kicked me! He will pay for that.
|
| Function | userKicked | Called when I watch someone getting kicked and smile meanwhile.
|
| Function | modeChanged | Called when modes get changed, obviously
|
| Function | joined | Called when I come to a channel.
|
| Function | userJoined | Called when I see someone entering the channel.
|
| Function | left | Called when it is time to say goodbye and leave the channel.
|
| Function | userLeft | Called when someone has to go.
|
| Function | topicUpdated | Called when topic is being changed.
|
| Function | userRenamed | Called when some user has the crazy idea to change his name.
|
| Function | receivedMOTD | Thus Lord Server spake the Message of the day. And this is, what
|


Rhetoric is not essentially bad. In fact, rhetoric is inevitable. You cannot say anything – even anything true, or scientific, or factual – without packaging it in words. And all words have “spin.”
However, some rhetoric is bad. So bad, Socrates was killed on the mere slanderous accusation that he “made the worse argument appear the stronger.” If it were true, maybe he would have deserved death. The slander was not true of Socrates; it was true of Meletus, and Anytus, and Aristophanes. Maybe they deserved exile, silence, or prison.
Much of modern day marketing is bad rhetoric. Many modern day marketers deserve to be put out of the city.
The danger of making marketing slogans simple and memorable is that they tend to proliferate.
Companies who hire top marketing firms (which follow top marketing fads) are tempted to create not just one slogan or motto or catchphrase but a half dozen.
For example, I just received a mailer from the University of Phoenix. This is the company whose students owe 35 billion in federal loans and whose students are suing their alma mater at astonishing rates.
Their marketing letter includes the following slogans:
Which slogan is the center? Do they even know? Who cares?
The long-form attempt to sucker you into applying is no better. The “Provost” letter is an ill-sorted bricolage of empty bureaucratic talk. It begins:
I believing in working toward happiness, persevering through adversity and using the power of education to change the world.
These sound nice. Too bad the adversity UoP students will have to perservere through will include employers laughing at them in job interviews, no jobs, and unpayable debts. But it’s true that we have to work toward happiness. Maybe by working a lower class job than we would prefer and working harder than we would prefer to get closer to our dreams.
She continues:
The power of education works best when individuals with desire and drive take advantage of opportunity. Focusing on the needs of adult learners has always been at the heart of our mission at University of Phoenix.
Also true (if vacuous). Education has no power; truth has power, and people who know truths have power to educate those who do not yet know those truths (students). But if UoP students do not have teachers and learn nothing, they will not be getting an education at all.
Also, UoP “focuses” on the wallets of adult learners who are desparate enough to need a degree and can qualify for public, federal dollars to pay for it.
 I believe.
They can’t even pick one slogan and stick with it.
Such marketing slogans are examples of the worst sort of rhetoric. All suggestion, no assertion.


| 接口 | 说明 |
|---|---|
| CallableFactory<R> |
Factory for creating
Callable s |
| ExtendedDataInput |
Add some functionality to data input
|
| ExtendedDataOutput |
Add a few features to data output
|
| 类 | 说明 |
|---|---|
| AnnotationUtils |
Helper class to deal with annotations in runtime.
|
| ArrayListWritable<M extends org.apache.hadoop.io.Writable> |
A Writable for ListArray containing instances of a class.
|
| ByteArrayIterable<T extends org.apache.hadoop.io.Writable> |
This iterable is designed to deserialize a byte array on the fly to
provide new copies of writable objects when desired.
|
| ByteArrayIterator<T extends org.apache.hadoop.io.Writable> |
This iterator is designed to deserialize a byte array on the fly to
provide new copies of writable objects when desired.
|
| ByteArrayVertexIdData<I extends org.apache.hadoop.io.WritableComparable,T> |
Stores pairs of vertex id and generic data in a single byte array
|
| ByteArrayVertexIdEdges<I extends org.apache.hadoop.io.WritableComparable,E extends org.apache.hadoop.io.Writable> |
Stores vertex id and edge pairs in a single byte array.
|
| ByteArrayVertexIdMessages<I extends org.apache.hadoop.io.WritableComparable,M extends org.apache.hadoop.io.Writable> |
Stores vertex id and message pairs in a single byte array.
|
| CollectionUtils |
Helper methods for Collections
|
| ConfigurationUtils |
Translate command line args into Configuration Key-Value pairs.
|
| DynamicChannelBufferInputStream |
Special input that reads from a DynamicChannelBuffer.
|
| DynamicChannelBufferOutputStream |
Special output stream that can grow as needed and dumps to a
DynamicChannelBuffer.
|
| EdgeComparator<I extends org.apache.hadoop.io.WritableComparable,E extends org.apache.hadoop.io.WritableComparable> |
Comparator for edges.
|
| EdgeIterables |
Utility methods for iterables of edges.
|
| EmptyIterable<T> |
Singleton class for empty iterables.
|
| ExtendedByteArrayDataInput |
Provides access to a internals of ByteArrayInputStream
|
| ExtendedByteArrayDataOutput |
Adds some functionality to ByteArrayOutputStream,
such as an option to write int value over previously written data
and directly get the byte array.
|
| FileUtils |
Helper class for filesystem operations during testing
|
| IncreasingBitSet |
Bit set optimized for increasing longs to save storage space.
|
| InMemoryVertexInputFormat<I extends org.apache.hadoop.io.WritableComparable,V extends org.apache.hadoop.io.Writable,E extends org.apache.hadoop.io.Writable> |
An input format that reads the input graph in memory.
|
| InternalVertexRunner |
A base class for running internal tests on a vertex
Extending classes only have to invoke the run() method to test their vertex.
|
| IntPair |
A pair of integers.
|
| JMap |
Helper to run jmap and print the output
|
| JMapHistoDumper |
An observer for both worker and master that periodically dumps the memory
usage using jmap tool.
|
| LoggerUtils |
Logger utils for log4j
|
| LogStacktraceCallable<V> |
A wrapper to improve debugging.
|
| MasterLoggingAggregator |
Helper class for using aggregator which gathers log messages from workers
and prints them on master.
|
| MathUtils |
A helper class for math related operations with writables
|
| MemoryUtils |
Helper static methods for tracking memory usage.
|
| PairList<U,V> |
Collection to keep pairs in, without creating a wrapper object around
each pair of objects.
|
| ProgressableUtils |
Functions for waiting on some events to happen while reporting progress
|
| ReflectionUtils |
Helper methods to get type arguments to generic classes.
|
| RepresentativeByteArrayIterable<T extends org.apache.hadoop.io.Writable> |
The objects provided by the iterators generated from this object have
lifetimes only until next() is called.
|
| RepresentativeByteArrayIterator<T extends org.apache.hadoop.io.Writable> |
The objects provided by this iterator have lifetimes only until next() is
called.
|
| TaskIdsPermitsBarrier |
This barrier is used when we don't know how many events are we waiting on
from the start.
|
| TestGraph<I extends org.apache.hadoop.io.WritableComparable,V extends org.apache.hadoop.io.Writable,E extends org.apache.hadoop.io.Writable,M extends org.apache.hadoop.io.Writable> |
TestGraph class for in-memory testing.
|
| TimedLogger |
Print log messages only if the time is met.
|
| UnsafeByteArrayInputStream |
Byte array output stream that uses Unsafe methods to serialize/deserialize
much faster
|
| UnsafeByteArrayOutputStream |
Byte array output stream that uses Unsafe methods to serialize/deserialize
much faster
|
| VertexIdIterator<I extends org.apache.hadoop.io.WritableComparable> |
Common implementation for VertexIdEdgeIterator, VertexIdMessageIterator
and VertexIdMessageBytesIterator.
|
| WritableUtils |
Helper static methods for working with Writable objects.
|
Copyright © 2011-2013 The Apache Software Foundation. All Rights Reserved.


Seeking a position in life to utilize my skills and abilities and achieve professional growth while being resourceful,
innovative and flexible. To add valuable assets to your esteemed organization as an active member.
| Bachelor Degree - B.E.(MECH) | Senior Secondary School Certificate (SSSC) | Secondary School Certificate (SSC) |
|---|---|---|
| College:Dhanalakshmi college of engineering | Kendriya Vidyalaya Island Ground | Kendriya Vidyalaya Island Ground |
| Place:CHENNAI | Place:CHENNAI | Place:CHENNAI |
Name:Pranav Prakash
Gender:Male
Nationality:Indian
Language Known :English,Malayalam,Hindi,Tamil
I hereby declare that the above furnished details are true to the best of my knowledge
Yours truly,
(Pranav Prakash)


{% load staticfiles %}
In Sid, I first found my best friend, my human diary and then the love of my life and my other half. He is my pillow, pillar and punching bag, all rolled into one. We have known each other for over eight years now, dated for three, and been engaged for two. From being a bunch of teenagers sharing mindless jokes, laughter and secrets to being two people deeply in love sharing dreams, hopes, thoughts and plans about their life together, I have hopped on the most beautiful adventure of my life with him. I cannot wait to commit to a lifetime of laughter, surprises, adventures, bad dance moves and off-key singing, disagreements, holding on and never letting go, with my best friend and the most annoying, loving, goofy, perfect person I know.
The first time I met Shreya in 2009, I felt a connection and I knew that she is going to be the one. I feel so fortunate that everything worked out perfectly. She is an ideal blend of beauty with brains, who almost always knows the right thing to do and is always trying to raise the bar for the right thing to do too. Over the last 8 years of togetherness, we have gone through a roller coaster ride and seen each other at our very best and worst and every moment, my love for her has only grown. From being my best friend to girlfriend, classmate to colleague, girlfriend to fiancée, I have cherished every moment spent with her! Now, I can’t wait for her transition from fiancée to wifey and hop onto the beautiful adventure that awaits us!


Social media bill will protect human dignity-Lawmaker
Agency Reporter
Sen. Mohammed Musa (APC- Niger), has urged Nigerians to support the social media bill before the National Assembly because it was aimed at protecting human dignity.
Musa said this in a statement on Monday in Abuja.
He said the bill, when assented to, would protect human dignity among many other inherent gains.
The Senate had on Nov 5, re-introduced the ‘Protection from Internet Falsehood and Manipulations Bill 2019’, to regulate the use of social media in the country.
The bill, which was sponsored by Sen. Musa, was aimed at curbing fake news on the internet and to guide social media users.
“The social media bill comes with enormous gains such as a free internet that guarantees national security; protects minors from abusive forms of marketing, violence, and pornography.
“The bill, when assented to, will protect human dignity from incitement to racial hatred or racial discrimination.
”It will provide economic security and curb fraud, as well as provide instructions on pirating credit cards.
“It will also provide security, protect privacy from unauthorised communication of personal data, electronic harassment; protection of reputation and intellectual property as propounded by the European Union Paper on illegal and harmful content on the internet,’’ he said.
The lawmaker said that although, Nigerians might be afraid that the law could be manipulated by politicians and government officials, it was not enough to negate the overall gains of the regulation.
He urged Nigerians to support the voyage, reiterating that it would guarantee sanity, protect rights and sensitivities on the internet.
He, however, faulted claim that the bill which had similarities with a Singaporean Statue subject was plagiarised.
Read Also: All you need to know about Social Media Bill
According to him, it is preposterous that this is said to be an instance of plagiarism.
The lawmaker said that legislations across the globe are public documents and national legislatures do not claim right over them, as to form the basis for a claim for plagiarism over their effectiveness.
He said that the problems and challenges of regulating internet activities cuts across jurisdictions and was therefore inevitable that lessons should be drawn from other jurisdictions in fashioning out workable solutions in Nigeria.
He urged the general public not to heed to the immature attempt by uninformed mischief makers who were trying to distort the progress of the bill.
Musa said the law when enacted, would become a universal template that could be adopted and domesticated to fit peculiarities.
“Beyond the public speaking, the internet space in Nigeria has become corrosive. Information whether true or false spreads like wildfire.

“We need a more standardised approach and this is the crux of the move to sanitise the corrosive internet space in Nigeria,” he said.
(NAN)


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Welcome


Programming is like art—both the process of writing code and the code in itself. Converting an idea that only existed in your head into reality is an unparalleled feeling. It’s a kind of mindfulness that keeps you in a state of flow when you love the work you do. And, when your product impacts millions of developers and helps them find the right place to work—it’s both exciting and scary!
At HackerRank we have had the opportunity to build a product that’s used by a community of more than 5 million developers (more than 20% of the world’s developer population) and more than 1,200 customers to match every developer to the right job based on skill. The underlying infrastructure of the hiring process is going through a dramatic shift. Candidates are now being evaluated based on their skills and not their pedigree. This opens up a lot more opportunities for developers and smart companies worldwide are recognizing this and making the shift.


Doing SW Development, Lean Coaching or a full Agile Transformation, we thrive together. With YOU.
Find Out MoreAssisting you and your organization on the journey to Continuous Improvement, we are ready to help at all levels.
Get the understanding and motivation to work better, with less effort and achieving compelling results.
Tailored Workshops will put you on steroids.
Have a committed agile team abroad working smoothly, fully-integrated and delivering value on each iteration.
SW Development with Scrum built-in.
Give us a call, drink a Coffee with us. We'll surely find a way to help you.
Contact us
We dream, to be better.
We work, to reach our dreams.
We share, to keep on dreaming together.
Do you think you can make the difference? Then join us and meet others like you
Why? Why to speak about us, when we can hear about you? We want to listen to your concerns, troubles, plans for the future, happy stories, everything!. The first step to help you is to know you!
But, if you still want to know about us:
We are small group of people who creates solutions.
We believe that every problem has its own context and variables, and there isn't ONE magical technology approach or tool to solve it all. Thanks to this "simple" belief WE, YOU and US, can create YOUR solution.
We always strive to be excellent, this is the only way for us to continue saying "Trust us, we can help you" without a hint of doubt.
We belive in commitment, and we belive in building relationships, we make your problems our problems and we won't stop until we work them out together.
Want to know more?. Call us!, scroll down and look for us in the globe, maybe one of our offices is near by, and if it is not, you can always mail us, or call us.


Arsenal 'axe eight staff members' including head of youth scouting in extensive overhaul
Steve Morrow, who was head of youth scouting at Arsenal, is among those who have parted company with the club
by Jake Polden, https://www.mirror.co.uk/authors/jake-polden/Arsenal have axed a staggering eight members of staff as part of an extensive behind-the-scenes overhaul, according to reports.
Among those to leave the north London club is head of youth scouting Steve Morrow, who was told he is no longer needed in his role.
Morrow represented the Gunners as a player from 1988 to 1997, and famously scored the winner in the 1993 Coca-Cola Cup final against Sheffield Wednesday before being dropped by Tony Adams in the post-match celebrations and breaking his arm.
The others staff members who are believed to have been axed include Kevin Beadell, Dan Rice and Dave Lee, who each held recruitment positions at the Emirates.
The Daily Mail reports that the departures are yet to be formally confirmed by the club, but the wheels are firmly in motion.
Unai Emery was recently given reassurances over his job at Arsenal despite results continuing to go against him and fans growing increasingly frustrated.
Emery's Gunners have won just two of their past nine fixtures in the Premier League and have thrown away points from winning positions.
Against Watford earlier in the season Arsenal were leading by two goals to nil but were pegged back in the second half and drew 2-2.
Against Crystal Palace it was a similar story with Arsenal storming into a two goal lead, but coming away with just a single point from the match.
And finally, last time out against Wolves the Gunners went ahead thanks to Pierre-Emerick Aubameyang and lead for most of the match.
But a Raul Jimenez goal ten minutes before the end ensured the Midlands side returned home from London with a point.


Basic Electronics Tutorials
Introduction:
add something here
Examples:
The first tutorial was the one review in the 03 Nov class.
- Basic Electronics on Instructables.
- Electonic Tutorials ... – ...
- Electronics Hub ‒ Tutorials
- Fundamentals of Electronic Circuit Design.
- Semiconductor: notes.
- All about circuits – (Textbook)
- Countdown timer display – (An arduino blog)
- How to use Eagle CAD – (short five steps)
- The All About Circuits site – (many)
- Electric Circuits – many volumes
- Next – (future entry)
Lab Notes:
- How to use an multimeter (tutorial) learn at SparkFun
- How to use an oscilloscope (tutorial) learn at SparkFun
- How to use an oscilloscope (video) by SparkFun Electronics
- Electronics Notes: using an oscilloscope – link
- .....
- How to use and oscilloscope (video) by mjlorton (YouTube)
- Oscilloscope kit (link)
- SparkFun Education: (link)
References:
- The Octopart search engine for electronic parts.
- The Discovery Circuits has links to 45,000+ electronic circuits.
- The Graphical Resistor Calculator – Calculate resistor values from color codes
- The 555 Timer – integrated circuit (chip)
- The 555 Timer Circuits – (chip)
- The tools and calculaters for electronic circuits – (many)
- The frequency allocation charts – (graphical)
- The Analog Devices Engineering Discovery electronics lab – at Mouser Electronics


Att I greet you in the name of our lord.  I know you will see my letter to you as an embarrassment considering the fact that we do not know ourselves, from Adam, but,plead with you to be patient with me. Well,I feel very pleased to contact you for some assistance and business relationship. I live in South Africa with my children. My late husband was a loving, caring and hardworking businessman who died unfortunately In a ghastly autocrash. Before the sudden death of my beloved husband, and father of my daughters, my late husband intended to establish a business, Abroad with the sum of$8.5 million united states dollars, but unfortunately he died before this proposed venture. Following his death, his family members insisted that I am not entitled to his property (Assets and money) since I am a woman and my offspring's all girls as I do not have a male child for my husband. Well, according to barbaric traditional laws here in this partof Africa which doesn't entitled a woman to inherit a man's property, as they are expected by tradition to take over the management of his business and other properties including myself who automatically becomes a wife to one of his immediate brothers. Unfortunately to this wicked family members, the $8.5million united states dollars which my late husband intended to use in establishing a business in Overseas was deposited in a bank account unknown to his family.I and his Banking Officer are the only ones aware of this money,so I have discussed this matter with a her in the bank that I want this money personally so that I will be able to take care of my children's educational needs since my husband's family members vehemently opposed the furtherance of their education. According to the officer of the bank, the best way to securethis money is to remit this money to a foreign bank designate outside our country for safe-keeping, later it will be expended for future business investment subject to the Advise of whosoever finally assists us. At this juncture, Ithere fore ask for your kindest and sincere assistance in providing us with the following details, according to the officer in the Bank- 1.Full Name: 2.Address: 3.Marital Status: 4.Occupation: 5.Age: 6.Sex: 7.Nationality: 8.Country Of .. Residence: 9.Telephone 10.Fax 11.Mobile Number And these will be in the enablement to facilitate the remittance of this fund into your nominated account. As soon as I get your positive response, I shall provide you with all the necessary detail for this Remitance. However, I have decided to give you 30% of the total money as a reward for your sincere assistance and the remaining 70% of the money will be for our both mutual investment as I will want to keep aglow my late husbands dream of investing in real estate and other lucrative ventures. To be able to help me, kindly send through my email, your personal details including your contact information for easy communication. send your reply to my priavet e-mail if only you are interested<EMAIL_ADDRESS>Thanking you for your anticipated response MRS ROSELINE MULEKO


Class in Ruby
7/21/15
A class in Ruby is a collection of methods that you would like to apply to new objects. You can create instance variables within your class that speak across methods and change from object to object. If you want to see the result of the new object you have created, simply ask Ruby to print your new object and call whichever method you would like to see.
In this case, I have created a class named Yarn to hold information about my ever-growing yarn stash. I want to see the color and fiber for each new yarn I have.
To do this I set my instance variables as @color and @ fiber.
When I add a new yarn, and specify what color and fiber it is, Ruby will be able to return those details for each new yarn added.
class Yarn def initialize(color, fiber) # Instance variables @color = color @fiber = fiber end def lookup puts 'You have new yarn!' end def display puts "Your new yarn is #{@color} and made of #{@fiber}" end end # making new objects yarn_1 = Yarn.new('green', 'wool') yarn_2 = Yarn.new('blue', 'alpaca') yarn_3 = Yarn.new('orange', 'synthetic fiber') # Display info from lookup method puts yarn_1.lookup # Display info from display method puts yarn_1.display puts yarn_2.display puts yarn_3.display
I have created a new Yarn object outside of the class
yarn_1 = Yarn.new('green', 'wool')
yarn_2 = Yarn.new('blue', 'alpaca')
yarn_3 = Yarn.new('orange', 'synthetic fiber')
Underneath the new objects, I have asked Ruby to show the information for the new yarn and the method that has been applied.
Once I run this program it returns
You have new yarn! Your new yarn is green and made of wool Your new yarn is blue and made of alpaca Your new yarn is orange and made of synthetic fiber
I can do this for however many new yarns I would like to create, as long as I have include the color and fiber instance variables it will always give me that information back.


This module contains the throttlers.
Exception that occurs when something goes wrong while changing status
| Parameters: |
|
|---|
Exception that occurs when an enqueue is tried in a full pool
| Parameters: |
|
|---|
This class provides the base requests throttler
The base throttler guarantees that between each request a fixed amount of time between them elapsed. The pool can be limited by a maximum length and an exception is raised if a request is tried to be enqueued in the full pool.
| Parameters: |
|
|---|
Create a base throttler with the given delay time and pool size
When both delay and reqs_over_time are None, delay is set to 0.
| Parameters: |
|
||
|---|---|---|---|
| Raise: |
|
The status of the throttler
| Getter: | Returns status |
||||
|---|---|---|---|---|---|
| Setter: | Sets the new status |
||||
| Raise: |
|
||||
| Type: | string |
Start the throttler by starting the main loop
| Raise: |
|
|---|
Shutdown the throttler by shutdowning the executor
If wait_enqueued is True then before stopping the throttlers consumes all the requests enqueued. Otherwise the throttler is forced to be shutdowned.
| Parameters: | wait_enqueued – the flag that indicates if the already enqueued requests are to be processed or aborted |
||||
|---|---|---|---|---|---|
| Raise: |
|
Pause the throttler
| Raise: |
|
|---|
Unpause the throttler
| Raise: |
|
|---|
Submit a single request and return the corresponding throttled request
| Parameters: | req (requests.Request) – the request to throttle |
||||
|---|---|---|---|---|---|
| Returns: | the corresponding throttled request |
||||
| Return type: | |||||
| Raise: |
|
Submits a list of requests and return the corresponding list of throttled requests
| Parameters: | reqs – the list of requests to throttle |
||||
|---|---|---|---|---|---|
| Returns: | the corresponding list of throttled requests |
||||
| Return type: | |||||
| Raise: |
|
Wait until the throttler is ended


Soul Urn:
A voice emanates from the urn:
"My name is Oliver... Who called me...? I was killed and eaten by Crokians... Why did you call me?"
Explain the situation to the spirit.


This is labyrinth game I have ever made.I am responsible for the planning and mapping of this game,as well as part of the puzzle-solving production
"Scroll Of Taiwu" is an independent game developed by ConchShip Games with myths and martial arts as its theme. The player will play the mysterious "Tao's biography".This is a very cultural game.
"Scroll Of Taiwu" is a pure martial arts style SRPG game. In the world of "Taiwu Painted Scrolls", in addition to playing the mysterious "Taiwu's biography", you will also take a different position on the world - good Or evil, or moderate, devote themselves to the complicated rivers and lakes. You can not only visit the martial arts martial arts around the world, but also learn a wide variety of martial arts skills; you can also join Jinlin with humanity, or form a bloody sea; you can not only build your own village, run various industries; you can also love your own life. Childbearing, fate three life; until you finally face the enemy of Taiwu, defeat the sword, determine the fate of the world!


FindBugs sourceInfo fileThe FindBugs analysis engine can be invoked with an optional sourceInfo file. This file gives line number ranges for classes, files and methods. This information is an alternative to getting line number information from the classfiles for methods. Since classfiles only contain line number information for methods, without a sourceInfo file we can't provide line numbers for fields, and for classes we just use the line numbers of the methods in the class. The first line of the file should be sourceInfo version 1.0 Following that are a series of lines, each describing a class, field, or method. For each, a starting and ending line number is provided. For example, the following sourceInfo file: sourceInfo version 1.0 a.C,3,8 a.C,x,4,4 a.C,y,4,4 a.C,provides the following information about the class a.C:
a.C$X,10,15 |
Send comments to findbugs@cs.umd.edu


Venue
- What
- The wedding ceremony and reception will all be taking place at the beautiful Inn at Laurel Point.
- When
- Saturday June 22, 2019
- Where
-
The Inn at Laurel Point
680 Montreal Street Victoria, BC V8V 1Z8, Canada
Phone: +1<PHONE_NUMBER> (Toll Free)
- Transportation
-
Taxis
Taxis are available round the clock. The rate for most taxi companies should be the same since they are regulated by the city of Victoria. Uptown Taxi can take up to 6 people, all others can take 4-5.
From the Airport or the BC Ferry's Terminal
Get on to Highway 17 towards Victoria. Highway 17 will become Blanshard St. Continue on Blanshard St. as it will become Belleville St. Past the BC Legislature building, the road will turn to the left, then to the right and after a park on your right, turn right onto Montreal St. and follow it to the end.
Directions from Douglas St.
Follow Douglas St. south through downtown Victoria until reach Belleville St. Turn right on to Belleville St. Past the BC Legislature building, the road will turn to the left, then to the right and after a park on your right, turn right onto Montreal St. and follow it to the end.
- Parking
-
For those staying at the Inn, there is $17/night parking available.
For those that do not want to park at the Inn, there is public parking nearby.
The corner of Quebec St. and Montreal St. is a 1 minute walk away has parking at $2/hour or $8/day.
Ceremony
- What
- Wedding ceremony overlooking the Victoria's outer harbour.
- When
- 3pm
- Attire
- Semi-formal
Cocktails
- What
-
While pictures are being taken there will be a cocktail hour with board games for guests. While we encourage you to stay and play the games, guests are free to do
whatever they like during this time.
- When
- Immediately following the end of the ceremony.
- Attire
- Semi-formal
Reception
- What
- Dinner, wedding games, speeches, dancing, and celebrating into the night.
- When
- We ask that you take your seats at 5:30 and dinner will follow. Dancing will be setup in the adjacent spirit room for after dinner and music will stop at 1am.
- Attire
- Semi-formal
{% comment %}
{% endcomment %}


Creates a cross-entropy loss using tf.nn.sigmoid_cross_entropy_with_logits.
tf.compat.v1.losses.sigmoid_cross_entropy( multi_class_labels, logits, weights=1.0, label_smoothing=0, scope=None, loss_collection=tf.GraphKeys.LOSSES, reduction=Reduction.SUM_BY_NONZERO_WEIGHTS )
weights
acts as a coefficient for the loss. If a scalar is provided,
then the loss is simply scaled by the given value. If weights
is a
tensor of shape [batch_size]
, then the loss weights apply to each
corresponding sample.
If label_smoothing
is nonzero, smooth the labels towards 1/2:
new_multiclass_labels = multiclass_labels * (1 - label_smoothing) + 0.5 * label_smoothing
multi_class_labels
: [batch_size, num_classes]
target integer labels in
{0, 1}
.logits
: Float [batch_size, num_classes]
logits outputs of the network.weights
: Optional Tensor
whose rank is either 0, or the same rank as
labels
, and must be broadcastable to labels
(i.e., all dimensions must
be either 1
, or the same as the corresponding losses
dimension).label_smoothing
: If greater than 0
then smooth the labels.scope
: The scope for the operations performed in computing the loss.loss_collection
: collection to which the loss will be added.reduction
: Type of reduction to apply to loss.Weighted loss Tensor
of the same type as logits
. If reduction
is
NONE
, this has the same shape as logits
; otherwise, it is scalar.
ValueError
: If the shape of logits
doesn't match that of
multi_class_labels
or if the shape of weights
is invalid, or if
weights
is None. Also if multi_class_labels
or logits
is None.The loss_collection
argument is ignored when executing eagerly. Consider
holding on to the return value or collecting losses via a tf.keras.Model
.


| appendRecord(sxRecord *cards) | sx360::sxPunchFile | |
| close() | sx360::sxPunchFile | |
| getCardCount() | sx360::sxPunchFile | [inline] |
| getIterator() const | sx360::sxPunchFile | [inline] |
| getRecordCount() | sx360::sxPunchFile | [inline] |
| getSetup() const | sx360::sxPunchFile | [inline] |
| open(string name, FileSetup setup) | sx360::sxPunchFile | |
| read(void *ptr, size_t size) | sx360::sxPunchFile | [inline] |
| seek(off_t offset, int whence) | sx360::sxPunchFile | |
| sxPunchFile(ByteMap bmap) | sx360::sxPunchFile | |
| tell() | sx360::sxPunchFile | [inline] |
| write(void *ptr, size_t size) | sx360::sxPunchFile | [inline] |
| ~sxPunchFile() | sx360::sxPunchFile |


Before Change
if __name__ == "__main__":
study = optuna.create_study(direction="maximize", pruner=optuna.pruners.MedianPruner())
study.optimize(objective, n_trials=100)
pruned_trials = [t for t in study.trials if t.state == optuna.trial.TrialState.PRUNED]
complete_trials = [t for t in study.trials if t.state == optuna.trial.TrialState.COMPLETE]
print("Study statistics: ")
print(" Number of finished trials: ", len(study.trials))
print(" Number of pruned trials: ", len(pruned_trials))
print(" Number of complete trials: ", len(complete_trials))
After Change
if __name__ == "__main__":
study = optuna.create_study(direction="maximize", pruner=optuna.pruners.MedianPruner())
study.optimize(objective, n_trials=100)
pruned_trials = study.get_trials(deepcopy=False, states=[TrialState.PRUNED])
complete_trials = study.get_trials(deepcopy=False, states=[TrialState.COMPLETE])
print("Study statistics: ")
print(" Number of finished trials: ", len(study.trials))
print(" Number of pruned trials: ", len(pruned_trials))
print(" Number of complete trials: ", len(complete_trials))


--- title: Input file keywords: fastai sidebar: home_sidebar summary: "Convenience functions/classes to construct the input file required by py2gift." description: "Convenience functions/classes to construct the input file required by py2gift." ---
test_file = '_input_.yaml'
A convenience function to extract the settings of a given class within a certain category. If there are duplicated categories and/or classes, the one that is found first is returned.
%%writefile {test_file}
output file: third_midterm.yaml
pictures base directory: tc/midterm3
path to gift-wrapper: '~/gift-wrapper/wrap.py'
categories:
- name: Entropy of the input given the output
classes:
- name: EntropyOfInputGivenOutput
question base name: Entropy of input given the output
init parameters:
picture_file: DMCs/entropy_at_input_given_output.tex
statement: |
Consider...
feedback: |
One way of tackling the problem is...
number of instances: 2
with open(test_file) as yaml_data:
settings = yaml.load(yaml_data, Loader=yaml.FullLoader)
extract_class_settings('Entropy of the input given the output', 'EntropyOfInputGivenOutput', settings)
A class to manage (in memory) all the settings required to build the questions.
The object right after initialization:
settings = Settings()
settings
A scalar category is added (it doesn't have any class yet)
settings.add_category('My category')
settings
If test_mode
is set to True
when instantiating the class,
settings = Settings(test_mode=True)
then the passed category name is ignored and test is used
category_name = settings.add_category('My category')
settings
In such case, it is important to retrieve the value returned by add_category
, since that is the actual category name added.
settings.add_or_update_class(
category_name=category_name, class_name='MeanLinearCombinationCosineAndUniform', question_base_name='Mean of a random process',
init_parameters=dict(
uniform_low_range=[2, 8], uniform_high_range=[12, 30], mean_range=[-5, 5],
variance_range=[1, 10], cosine_frequency_over_pi=[1, 2, 3], t_range=[0, 30]
),
n_instances=2, time=4
)
settings
settings = Settings()
settings.add_category('My category')
settings.add_or_update_class(category_name='My category',class_name='A', question_base_name='question for class #1', n_instances=2, time=4)
settings.add_or_update_class(category_name='My category',class_name='B', question_base_name='question for class #2', n_instances=2, time=10)
settings.add_category(category_name='My category #1',base_category='Parent')
settings.add_or_update_class(
category_name=['Parent', 'Parent/My category #1'],class_name='C', question_base_name='question for class #2', n_instances=2, time=10)
settings
settings.locate('My category', 'B')
settings.locate(category_name=['Parent', 'Parent/My category #1'])
If the classes do exist
class A:
name = 'A'
class B:
name = 'B'
class C:
name = 'C'
classes_container = settings.fake_module
print(classes_container.A.name)
print(classes_container.B.name)
settings_dict = initialize(output_file='quiz.yaml', pictures_directory='quiz/pics')
set_class_preamble(settings_dict, 'Test category')
settings_dict
set_class_closing(settings_dict, 2, 15)
settings_dict
set_class(
settings_dict, class_name='MeanLinearCombinationCosineAndUniform', question_base_name='Mean of a random process',
init_parameters=dict(
uniform_low_range=[2, 8], uniform_high_range=[12, 30], mean_range=[-5, 5],
variance_range=[1, 10], cosine_frequency_over_pi=[1, 2, 3], t_range=[0, 30]
), n_instances=2, time=4)
settings_dict
Code to write input files.
A function to write the header of the file.
file
: name of the input file to be createdwrite_header(test_file, output_file='quiz.yaml', pictures_directory='quiz/pics')
%pycat {test_file}
A function to write the preamble for a class which includes the name of the category. Strictly speaking, it's not necessary to create a new category every time a class is added, but this is more general and a category can show up many times in the input file.
file
: name of the input file to be appended tocategory_name
: name of the category in which the class will be encompassedbase_category
: a parent category for category_name
(optional)test_mode
: if True
, the last two parameters are overriden and the category is simply called test
For convenience, the final category_name
(notice that it might get tweaked because of the other parameters) is returned.
write_class_preamble(test_file, 'Test category')
%pycat {test_file}
Parameter base_category
allows to create hierarchical categories
write_header(test_file, output_file='quiz.yaml', pictures_directory='quiz/pics')
write_class_preamble(test_file, 'Test category', base_category='base')
%cat {test_file}
In test_mode
write_header(test_file, output_file='quiz.yaml', pictures_directory='quiz/pics')
write_class_preamble(test_file, 'Test category', base_category='base', test_mode=True)
%pycat {test_file}
A function to write the closing settings of a class.
file
: name of the input file to be appended ton_instances
: number of questions of this class that will be created (the setup
method of the class should be non-deterministic)time
: time in minutes (an integer) estimated necessary to solve the questionwrite_class_closing(test_file, 2, 15)
%pycat {test_file}
!rm {test_file}
f = function_to_make_hierarchical_category_name('2020 exam')
f('Random')


Pokeball category
Pokeball is not only a general term that unites all capsule balls for catching Pokemon, but also the name of a specific model. There are many different pokeballs, differing not only in appearance, but also in characteristics. They can be divided into several categories.


--- layout: post title: Oh Dear :-( Is this my bitter future? tags: - Mac status: publish type: post published: true meta: {} --- The Tao of Steve - Apple - Steve Jobs - Design
I blame Steve Jobs, who has seduced me into buying his sleek machines, even if their delicate organs seem to fail with alarming regularity, like the beautiful consumptive heroines in Victorian novels.I bought into the Mac deal because:
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Lobbying, persuasion, or interest representation is the act of attempting to influence the actions, policies, or decisions of officials, most often legislators or members of regulatory agencies. Lobbying, which usually involves direct, face-to-face contact, is done by many ty...


Let me introduce Jeongyeon's profile. Scroll down
1998. December 26.
Konkuk University. Midia Image Design.
Gwangju,Korea.
A variety of activities.
Make my name.
Poster design.
Book cover design.
Kinetic typography.


Library: Algorithms
Generic algorithms for performing various operations on containers and sequences
#include <algorithm> namespace std { // synopsis of the entry }
The synopsis of each algorithm appears in its entry in this Reference Guide.
The C++ Standard Library allows you to apply generic algorithms to containers, and it supplies a set of these algorithms for searching, sorting, merging, transforming, scanning, and more.
Each algorithm can be applied to a variety of containers, including those defined by a user of the library. The following design features make algorithms generic:
Generic algorithms access the collection through iterators
Algorithms are templatized on iterator types
Each algorithm is designed to require the least number of services from the iterators it uses
In addition to requiring certain iterator capabilities, algorithms may require a container to be in a specific state. For example, some algorithms can only work on previously sorted containers.
Because most algorithms rely on iterators to gain access to data, they can be grouped according to the type of iterator they require, as is done in the Algorithms by Iterator section below. They can also be grouped according to the type of operation they perform.
The broadest categorization groups algorithms into two main types: mutating and non-mutating. Algorithms that mutate (alter) the contents of a container fall into the mutating group. All others are considered nonmutating. For example, both fill() and sort() are mutating algorithms, while find() and for_each() are nonmutating.
Nonmutating operations
accumulate() find_end() max_element() adjacent_find() find_first_of() min() binary_search() find_if() min_element() count() for_each() mismatch() count_if() includes() search() equal() lexicographical_compare() search_n() equal_range() lower_bound() upper_bound() find() max()
Mutating operations
copy() remove_if() copy_backward() replace() fill() replace_copy() fill_n() replace_copy_if() generate() replace_if() generate_n() reverse() inplace_merge() reverse_copy() iter_swap() rotate() make_heap() rotate_copy() merge() set_difference() nth_element() set_symmetric_difference() next_permutation() set_intersection() partial_sort() set_union() partial_sort_copy() sort() partition() sort_heap() prev_permutation() stable_partition() push_heap() stable_sort() pop_heap() swap() random_shuffle() swap_ranges() remove() transform() remove_copy() unique() remove_copy_if() unique_copy()
Note that the library has place and copy versions of many algorithms, such as replace() and replace_copy(). The library also has versions of algorithms that allow the use of default comparators and comparators supplied by the user. Often these functions are overloaded, but in cases where overloading proved impractical or impossible, the names differ. For example, replace() uses equality to determine replacement, and replace_if()accesses a user-provided compare function.
We can further distinguish algorithms by the kind of operations they perform. The following lists categorize algorithms by their operations.
Assigning operations
fill() generate() fill_n() generate_n()
Search operations
adjacent_find() find_end() count() find_if() count_if() find_first_of() find() search() search_n()
Binary search operations (elements must be sorted)
binary_search() lower_bound() equal_range() upper_bound()
Compare operations
equal() mismatch() lexicographical_compare()
Copy operations
copy() copy_backward()
Transforming operations
partition() reverse() random_shuffle() reverse_copy() replace() rotate() replace_copy() rotate_copy() replace_copy_if() stable_partition() replace_if() transform()
Swap operations
swap() swap_ranges()
Scanning operations
accumulate() for_each()
Remove operations
remove() remove_if() remove_copy() unique() remove_copy_if() unique_copy()
Sorting operations
nth_element() sort() partial_sort() stable_sort() partial_sort_copy()
Merge operations (Elements must be sorted)
inplace_merge() merge()
Set operations (Elements must be sorted)
includes() set_symmetric_difference() set_difference() set_union() set_intersection()
Heap operations
make_heap() push_heap() pop_heap() sort_heap()
Minimum and maximum
max() min() max_element() min_element()
Permutation generators
next_permutation() prev_permutation()
Each algorithm requires certain kinds of iterators. For a description of the iterators and their capabilities, see the Iterators entry in this manual. The following lists organize algorithms according to the types of iterators they require.
Algorithms that use no iterators:
max() min() swap()
Algorithms that require only input iterators:
accumulate() find() count() find_if() count_if() includes() equal() lexicographical_compare() for_each() mismatch()
Algorithms that require only output iterators:
fill_n() generate_n()
Algorithms that read from input iterators and write to output iterators:
adjacent_difference() replace_copy() set_union() copy() replace_copy_if() transform() merge() set_difference() unique_copy() remove_copy() set_intersection() remove_copy_if() set_symmetric_difference()
Algorithms that require forward iterators:
adjacent_find() iter_swap() replace_if() binary_search() lower_bound() rotate() equal_range() max_element() search() fill() min_element() search_n() find_end() remove() swap_ranges() find_first_of() remove_if() unique() generate() replace() upper_bound()
Algorithms that read from forward iterators and write to output iterators:
rotate_copy()
Algorithms that require bidirectional iterators
copy_backward() partition() inplace_merge() prev_permutation() next_permutation() reverse()
Algorithms that read from bidirectional iterators and write to output iterators:
reverse_copy()
Algorithms that require random access iterators:
make_heap() pop_heap() sort() nth_element() push_heap() sort_heap() partial_sort() random_shuffle() stable_sort()
Algorithms that read from input iterators and write to random access iterators:
partial_sort_copy()
The complexity for each of these algorithms is given in the manual page for that algorithm.
Manual pages for each of the algorithms named in the lists above.
ISO/IEC 14882:1998 -- International Standard for Information Systems -- Programming Language C++, Section 25


Welcome to Yoga. This is safe place for Karma Open Health developers to meditate, stretch and practice their craft


Creating and distributing an app built on the Microsoft Teams Platform involves deciding what to build, building your web services, creating an app package, and distributing that package to your target end users. It will be up to an organization's administrators to decide who can access and install your app, and it will be up to your users to install your app in any particular context. Let's look at each of those steps in a bit more detail.
The most important step in creating a successful app for Microsoft Teams is choosing the right combination extensibility points and UI elements to take advantage of. You should spend a good deal of time understanding the problem you're trying to solve with your app and mapping your solution across the various ways users can interact with your app in the Microsoft Teams client. Don't underestimate the importance of context and scope! A conversational bot that works well in a one-to-one chat may not work at all as part of a group chat or channel conversation.
Here's a recap of what's available for you, and some scenarios they're best suited for. You can accomplish many tasks in more than one way; choosing the right tool for the job will make for a much better user experience.
The best apps will typically take advantage of more than one extension point. For example, let's say your organization wants to allow people to submit suggestions for improvements. You could create an app with a messaging extension search command to find and share existing suggestions, add an action command to allow users to create and update suggestions, a channel tab so a team can see all suggestions assigned to them, and a personal tab so a user can see all the suggestions they've submitted in the past. Add a conversational bot powered by natural language processing and machine learning allowing users to do complex queries across the suggestions and you've got a fully featured, fully integrated Teams app!
At a minimum, you'll need access to an Office 365 organization with custom app uploading enabled. If you don't have one, you can obtain a development organization by signing up for the Office 365 developer program. You'll also need a way to deploy and host your web services. For local development you can use a tunneling service like ngrok, but for production you'll want to deploy your services, probably to a cloud service provider like Azure. You can use on-premises infrastructure to host your web services, but they must be publicly accessible (not behind a firewall).
Developers have multiple options when building Microsoft Teams apps.
The community-based Yeoman Generator for Microsoft Teams (also known as: "yo teams") scaffolds a project once the developer has answered a few questions for the type of Microsoft Teams app they're building. You can learn more about the Yeoman Generator for Microsoft Teams here: Create your First Microsoft Teams App.
The Microsoft Teams Toolkit enables you to create custom Teams apps directly within the Visual Studio Code environment. The toolkit guides you through the process and provides everything you need to build, debug, and launch your Teams app. You can learn more about the Microsoft Teams Toolkit for Visual Studio Code here: Build apps with the Microsoft Teams Toolkit and Visual Studio Code.
The Microsoft Teams Toolkit enables you to create custom Teams apps directly within the Visual Studio integrated development environment (IDE). The Microsoft Teams toolkit guides you through the process and provides everything you need to build, debug, and launch your Teams app. You can learn more about the Microsoft Teams Toolkit for Visual Studio Code here: Build apps with the Microsoft Teams Toolkit and Visual Studio
Once you've decided how users are going to interact with your app, its time to build the web services to power it. Depending on what you're creating, Teams provides various SDKs, templates, code samples, and generators to help you get started, including:
For the complete list of tools and samples available to help you get started, see the complete documentation.
Remember, you'll need to host your web services in a way that makes them publicly accessible over the internet (typically in a cloud service provider like Azure), and serve up your content over HTTPS.
Web services up and running, you'll need to create an app package that can be distributed and installed in Microsoft Teams. The app package contains two icons and a JSON manifest file describing the metadata for your app, the extension points your app is using, and pointers to the services powering those extension points.
When creating your app package you can choose to create it manually, or use App Studio, which is an app inside Teams that helps you make Teams apps (we know, meta). App Studio will guide you through creating your app manifest, and can help you register your bot with the Bot Framework. It also contains a card designer to help you visually create cards and card actions, and send examples to yourself in Teams.
You have three options for distributing your custom Microsoft Teams app, depending on your target audience.
When distributing your app you need to take into consideration not just your wanted audience, but the IT policies in place in the organization you want to share your app with. Each organization has complete control over determining which apps will be uploaded to their organizational app catalog, and which apps are available to install from the app store.
Installing apps in Microsoft Teams is context-specific. Installing the personal app portion of your app (things that are scoped for an individual user), doesn't install your app in any particular team, and vice-versa. Installing your app in a particular team doesn't install your app in any other teams. This means you shouldn't ever assume your app is installed in all possible contexts - it probably isn't. An organization's IT administrators have complete control over who can install which apps in which context, so you also shouldn't assume the user your app is currently interacting with has the permission to install your app in a different context. For better or worse, installing an app directly from an app package tends to be heavily restricted, so if you choose to distribute your app by sharing your app package directly you'll want to make sure your users can install it.


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Remains in Nevada identified as Pennsylvania woman allegedly lured to desert by boyfriend
by Morgan PhillipsOfficials said Thursday they'd found the body of Jaime Feden, who was allegedly lured into the Nevada desert by her married boyfriend and killed.
A detective contacted the Clark County, Nevada, Coroners Office to tell officials there he'd found a dead, unidentified woman on Oct. 5. The coroner confirmed the identity of the body as Feden through dental records.
Feden, 33, was last seen in Pittsburgh on Sept. 15. John Matthew Chapman, referred to as Feden’s boyfriend, reportedly confessed to killing her when he was arrested last Friday.
Chapman convinced Feden to take a cross-country trip with him from Pennsylvania to Las Vegas to look at homes in late September, according to reports. He then lured Feden into the desert for a “photoshoot.”
He allegedly told police he used zip ties to bind Feden’s hands and feet and tied her to a pole before covering her mouth and nose with duct tape and suffocating her.
PENNSYLVANIA EX-POLICE CHIEF WHO STOLE HEROIN FROM EVIDENCE ROOM AVOIDS JAIL
He then removed the ties and tape along with Feden’s clothing before leaving her body on the ground near the signpost and driving back to Pennsylvania.
Feden was just over 4 feet tall and weighed 75 pounds, police said. She reportedly suffered from VATER syndrome, a rare congenital condition. The letters stand for vertebrae, anus, trachea, esophagus and renal (or kidneys), which are the areas of the body that are affected.
After Chapman was taken into custody he called his wife, Maureen, and said, “I killed her because I had to,” Maureen told WPXI. She said her husband was living a “double life” and had told his family he was going to Las Vegas on a work trip.
CLICK HERE TO GET THE FOX NEWS APP
Chapman will be extradited to Nevada if he is charged with homicide.
Fox News' Stephen Sorace contributed to this report.


Terrell Owens Calls Out Garrett, Romo & Witten For Colluding To Get Him Cut From Cowboys (TWEET)
by Darrelle LincolnTerrell Owens certainly knows how to hold on to a grudge.
The hall of fame wide receiver was going back and forth with Twitter users during the Cowboys-Bills game, when he replied to ESPN’s Josina Anderson about head coach Jason Garrett, TE Jason Witten, and retired QB Tony Romo colluding to get him cut from the team.
“So what!! They(Garrett,Romo,Witten) colluded & got me cut while on my summer break enjoying myself down in sunny Miami getting ready 4 the next season. Talk about #NoChill! My summer is/was just like a holiday just like Thanksgiving.”
Owens is referring to March of 2009 when the Dallas Cowboys released him after paying him a $12 million signing bonus just the year before, which was included as part of a new four-year, $34 million deal.
Jerry Jones was said to have been “following the advice of many, many people” in jettisoning Owens.
Owens had documented issues with quarterback Tony Romo and tight end Jason Witten, and often criticized offensive coordinator Jason Garrett’s play calling and his offensive schemes to the point that sources have said Garrett did not believe he and Owens could coexist.


import cv2
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import glob
%matplotlib inline
import keras
from keras.models import Sequential
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.layers.advanced_activations import LeakyReLU
from keras.layers.core import Flatten, Dense, Activation, Reshape
Here I've used the algorithm called YOLO. [https://pjreddie.com/darknet/yolo/] to try to maintain all the rubic point [https://review.udacity.com/#!/rubrics/513/view] just try some different techniques other than HOG+SVM.
Traditional, computer vision technique based, approaches for object detection systems repurpose classifiers to perform detection. To detect an object, these systems take a classifier for that object and evaluate it at various locations and scales in a test image. Systems like deformable parts models (DPM) use a sliding window approach where the classifier is run at evenly spaced locations over the entire image.
Other approaaches like R-CNN use region proposal methods to first generate potential bounding boxes in an image and then run a classifier on these proposed boxes. After classification, post-processing is used to refine the bounding boxes, eliminate duplicate detections, and rescore the boxes based on other objects in the scene. These complex pipelines are slow and hard to optimize because each individual component must be trained separately.
YOLO reframes object detection as a single regression problem, straight from image pixels to bounding box coordinates and class probabilities. A single convolutional network simultaneously predicts multiple bounding boxes and class probabilities for those boxes. YOLO trains on full images and directly optimizes detection performance.
In this project we will implement tiny-YOLO v1. Full details of the network, training and implementation are available in the paper - http://arxiv.org/abs/1506.02640
YOLO divides the input image into an SxS grid. If the center of an object falls into a grid cell, that grid cell is responsible for detecting that object. Each grid cell predicts B bounding boxes and confidence scores for those boxes.
Confidence is defined as (Probability that the grid cell contains an object) multiplied by (Intersection over union of predicted bounding box over the ground truth). Or
Confidence = Pr(Object) x IOU_truth_pred.
(1)
If no object exists in that cell, the confidence scores should be zero. Otherwise we want the confidence score to equal the intersection over union (IOU) between the predicted box and the ground truth.
Each bounding box consists of 5 predictions:
The (x; y) coordinates represent the center of the box relative to the bounds of the grid cell. The width and height are predicted relative to the whole image. Finally the confidence prediction represents the IOU between the predicted box and any ground truth box.
Each grid cell also predicts C conditional class probabilities, Pr(ClassijObject). These probabilities are conditioned on the grid cell containing an object. We only predict one set of class probabilities per grid cell, regardless of the number of boxes B.
At test time we multiply the conditional class probabilities and the individual box confidence predictions,
Pr(Class|Object) x Pr(Object) x IOU_truth_pred = Pr(Class) x IOU_truth_pred
(2)
which gives us class-specific confidence scores for each box. These scores encode both the probability of that class appearing in the box and how well the predicted box fits the object.
So at test time, the final output vector for each image is a S x S x (B x 5 + C) length vector
The model architecture consists of 9 convolutional layers, followed by 3 fully connected layers. Each convolutional layer is followed by a Leaky RELU activation function, with alpha of 0.1. The first 6 convolutional layers also have a 2x2 max pooling layers.
# Pre trained weights require this ordering
keras.backend.set_image_dim_ordering('th')
def get_model():
model = Sequential()
# Layer 1
model.add(Convolution2D(16, 3, 3,input_shape=(3,448,448),border_mode='same',subsample=(1,1)))
model.add(LeakyReLU(alpha=0.1))
model.add(MaxPooling2D(pool_size=(2, 2)))
# Layer 2
model.add(Convolution2D(32,3,3 ,border_mode='same'))
model.add(LeakyReLU(alpha=0.1))
model.add(MaxPooling2D(pool_size=(2, 2),border_mode='valid'))
# Layer 3
model.add(Convolution2D(64,3,3 ,border_mode='same'))
model.add(LeakyReLU(alpha=0.1))
model.add(MaxPooling2D(pool_size=(2, 2),border_mode='valid'))
# Layer 4
model.add(Convolution2D(128,3,3 ,border_mode='same'))
model.add(LeakyReLU(alpha=0.1))
model.add(MaxPooling2D(pool_size=(2, 2),border_mode='valid'))
# Layer 5
model.add(Convolution2D(256,3,3 ,border_mode='same'))
model.add(LeakyReLU(alpha=0.1))
model.add(MaxPooling2D(pool_size=(2, 2),border_mode='valid'))
# Layer 6
model.add(Convolution2D(512,3,3 ,border_mode='same'))
model.add(LeakyReLU(alpha=0.1))
model.add(MaxPooling2D(pool_size=(2, 2),border_mode='valid'))
# Layer 7
model.add(Convolution2D(1024,3,3 ,border_mode='same'))
model.add(LeakyReLU(alpha=0.1))
# Layer 8
model.add(Convolution2D(1024,3,3 ,border_mode='same'))
model.add(LeakyReLU(alpha=0.1))
# Layer 9
model.add(Convolution2D(1024,3,3 ,border_mode='same'))
model.add(LeakyReLU(alpha=0.1))
model.add(Flatten())
# Layer 10
model.add(Dense(256))
# Layer 11
model.add(Dense(4096))
model.add(LeakyReLU(alpha=0.1))
# Layer 12
model.add(Dense(1470))
return model
Input to the model is a batch of 448x448 images. So we first determine the area of interest for each image. We only consider this portion of the image for prediction, since cars won't be present all over the image, just on the roads in the lower portion of the image. Then this cropped image is resized to a 448x448 image.
Each image pixel is normalized to have values between -1 and 1. We use simple min-max normalization to achieve this.
# Preprocessing
def crop_and_resize(image):
cropped = image[300:650,500:,:]
return cv2.resize(cropped, (448,448))
def normalize(image):
normalized = 2.0*image/255.0 - 1
return normalized
def preprocess(image):
cropped = crop_and_resize(image)
normalized = normalize(cropped)
# The model works on (channel, height, width) ordering of dimensions
transposed = np.transpose(normalized, (2,0,1))
return transposed
The model was trained on PASCAL VOC dataset. We use S = 7, B = 2. PASCAL VOC has 20 labelled classes so C = 20. So our final prediction, for each input image, is:
output tensor length = S x S x (B x 5 + C)
output tensor length = 7 x 7 x (2x5 + 20)
output tensor length = 1470.
The structure of the 1470 length tensor is as follows:
I have used pre-trained weights for this project. Training is done in 2 parts
This model was trained on ImageNet 1000-class classification dataset. For this we take the first 6 convolutional layers followed by a followed by a fully connected layer.
The model is then converted for detection. This is done by adding 3 convolutional layers and 3 fully connected layers. The modified model is then trained on PASCAL VOC detection dataset.
The pre-trained weights for this model (180 MB) are available in my github repository.
image = mpimg.imread('yolo.png')
plt.imshow(image)
As you can see in the above image, each input image is divided into an S x S grid and for each grid cell, our model predicts B bounding boxes and C confidence scores. There is a fair amount of post-processing involved to arrive at the final bounding boxes based on the model's predictions.
We reject output from grid cells below a certain threshold (0.2) of class scores (equation 2), computed at test time.
If multiple bounding boxes, for each class overlap and have an IOU of more than 0.4 (intersecting area is 40% of union area of boxes), then we keep the box with the highest class score and reject the other box(es).
The predictions (x, y) for each bounding box are relative to the bounds of the grid cell and (w, h) are relative to the whole image. To compute the final bounding box coodinates we have to multiply w & h with the width & height of the portion of the image used as input for the network.
# code based on:
# YAD2K https://github.com/allanzelener/YAD2K
# darkflow https://github.com/thtrieu/darkflow
# Darknet.keras https://github.com/sunshineatnoon/Darknet.keras
# https://github.com/xslittlegrass/CarND-Vehicle-Detection
# Box util methods
class Box:
def __init__(self):
self.x, self.y = float(), float()
self.w, self.h = float(), float()
self.c = float()
self.prob = float()
def overlap(x1, w1, x2, w2):
l1 = x1 - w1 / 2.
l2 = x2 - w2 / 2.
left = max(l1, l2)
r1 = x1 + w1 / 2.
r2 = x2 + w2 / 2.
right = min(r1, r2)
return right - left
def box_intersection(a, b):
"""
:param a: Box 1
:param b: Box 2
:return: Intersection area of the 2 boxes
"""
w = overlap(a.x, a.w, b.x, b.w)
h = overlap(a.y, a.h, b.y, b.h)
if w < 0 or h < 0:
return 0
area = w * h
return area
def box_union(a, b):
"""
:param a: Box 1
:param b: Box 2
:return: Area under the union of the 2 boxes
"""
i = box_intersection(a, b)
u = a.w * a.h + b.w * b.h - i
return u
def box_iou(a, b):
"""
:param a: Box 1
:param b: Box 2
:return: Intersection over union, which is ratio of intersection area to union area of the 2 boxes
"""
return box_intersection(a, b) / box_union(a, b)
def yolo_output_to_car_boxes(yolo_output, threshold=0.2, sqrt=1.8, C=20, B=2, S=7):
# Position for class 'car' in the VOC dataset classes
car_class_number = 6
boxes = []
SS = S*S # number of grid cells
prob_size = SS*C # class probabilities
conf_size = SS*B # confidences for each grid cell
probabilities = yolo_output[0:prob_size]
confidence_scores = yolo_output[prob_size: (prob_size + conf_size)]
cords = yolo_output[(prob_size + conf_size):]
# Reshape the arrays so that its easier to loop over them
probabilities = probabilities.reshape((SS, C))
confs = confidence_scores.reshape((SS, B))
cords = cords.reshape((SS, B, 4))
for grid in range(SS):
for b in range(B):
bx = Box()
bx.c = confs[grid, b]
# bounding box xand y coordinates are offsets of a particular grid cell location,
# so they are also bounded between 0 and 1.
# convert them absolute locations relative to the image size
bx.x = (cords[grid, b, 0] + grid % S) / S
bx.y = (cords[grid, b, 1] + grid // S) / S
bx.w = cords[grid, b, 2] ** sqrt
bx.h = cords[grid, b, 3] ** sqrt
# multiply confidence scores with class probabilities to get class sepcific confidence scores
p = probabilities[grid, :] * bx.c
# Check if the confidence score for class 'car' is greater than the threshold
if p[car_class_number] >= threshold:
bx.prob = p[car_class_number]
boxes.append(bx)
# combine boxes that are overlap
# sort the boxes by confidence score, in the descending order
boxes.sort(key=lambda b: b.prob, reverse=True)
for i in range(len(boxes)):
boxi = boxes[i]
if boxi.prob == 0:
continue
for j in range(i + 1, len(boxes)):
boxj = boxes[j]
# If boxes have more than 40% overlap then retain the box with the highest confidence score
if box_iou(boxi, boxj) >= 0.4:
boxes[j].prob = 0
boxes = [b for b in boxes if b.prob > 0]
return boxes
def draw_boxes(boxes,im, crop_dim):
imgcv1 = im.copy()
[xmin, xmax] = crop_dim[0]
[ymin, ymax] = crop_dim[1]
height, width, _ = imgcv1.shape
for b in boxes:
w = xmax - xmin
h = ymax - ymin
left = int ((b.x - b.w/2.) * w) + xmin
right = int ((b.x + b.w/2.) * w) + xmin
top = int ((b.y - b.h/2.) * h) + ymin
bot = int ((b.y + b.h/2.) * h) + ymin
if left < 0:
left = 0
if right > width - 1:
right = width - 1
if top < 0:
top = 0
if bot>height - 1:
bot = height - 1
thick = 5 #int((height + width // 150))
cv2.rectangle(imgcv1, (left, top), (right, bot), (255,0,0), thick)
return imgcv1
# Load weights
from utils import load_weights
import sys
model = get_model()
load_weights(model,'yolo-tiny.weights')
test_image = mpimg.imread('test_images/test1.jpg')
pre_processed = preprocess(test_image)
batch = np.expand_dims(pre_processed, axis=0)
batch_output = model.predict(batch)
print(batch_output.shape)
boxes = yolo_output_to_car_boxes(batch_output[0], threshold=0.25)
final = draw_boxes(boxes, test_image, ((500,1280),(300,650)))
# plt.rcParams['figure.figsize'] = (10, 5.6)
plt.subplot(1,2,1)
plt.imshow(test_image)
plt.axis('off')
plt.title("Original Image")
plt.subplot(1,2,2)
plt.imshow(final)
plt.axis('off')
plt.title("With Boxes")
# Final pipeline
def pipeline(image):
pre_processed = preprocess(image)
batch = np.expand_dims(pre_processed, axis=0)
batch_output = model.predict(batch)
boxes = yolo_output_to_car_boxes(batch_output[0], threshold=0.20)
final = draw_boxes(boxes, image, ((500,1280),(300,650)))
return final
filenames = glob.glob("test_images/*.jpg")
num_files = len(filenames)
plt.rcParams['figure.figsize'] = (10, 20)
for i in range(num_files):
image = mpimg.imread(filenames[i])
final = pipeline(image)
mpimg.imsave("output_images/test%d.jpg" % (i+1), final)
plt.subplot(num_files,2,i*2+1)
plt.imshow(image)
plt.axis('off')
plt.title("Test Image %d" % (i+1))
plt.subplot(num_files,2,i*2+2)
plt.imshow(final)
plt.axis('off')
plt.title("Output %d" % (i+1))
# Apply it on a video
from moviepy.editor import VideoFileClip
project_video_output = 'project_video_output.mp4'
clip1 = VideoFileClip("project_video.mp4")
lane_clip = clip1.fl_image(pipeline)
%time lane_clip.write_videofile(project_video_output, audio=False)
The current frame rate is close to 0.6 frames per second. To be close to real time output we need atleast 30 frames per second. We have used a pre-train YOLO v1 network. This network is designed to detect 20 object classes. We could design and train a smaller network to work only on 1 object class (cars). This will reduce time required for forward pass.


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It is fun.
My Professor's e-mail address is
<EMAIL_ADDRESS>Have a great day!
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--- layout: post title: "Your First Assignment: Inspect Element" date: 2015-05-15 10:50:21 author: Erica Lauer Vose image-thumb: "/assets/images/blog-post-pic1-1.jpg" image-main: "/assets/images/blog-post-pic1.jpg" ---
Why this is important and also awesome:
So here's how to inspect element
Adipiscing elit commodo ligula eget dolor Lorem ipsum dolor sit amet nec, consectetuer adipiscing elit. Aenean commodo ligula eget dolor Cum sociis natoque penatibus et magnis dis parturient montes. Lorem ipsum dolor sit amet nec penatibus et magnis dis parturient montes.
Cum sociis natoque penatibus et magnis dis parturient montes. dolor sit amet nec, consectetuer adipiscing elit. Aenean commodo ligula eget dolor.
 Aenean commodo ligula eget dolor.
Lorem ipsum dolor sit amet nec, consectetuer adipiscing elit. Aenean commodo ligula eget dolor. Aenean massa. Cum sociis natoque penatibus et magnis dis parturient montes. Lorem ipsum dolor sit amet nec, consectetuer adipiscing elit. Aenean commodo ligula commodo.
How to inspect element and use the search feature in Chrome Firefox Safari and explore But am I looking at There are three major components in the inspect element of you One HTML To CSS Three JavaScriptWill going to what these are in another post for now let's just try something fun Change this blog post title to your name is awesome Okay now take a screenshot so you can send this to your friends and impress them with your taking us or better still tell them you're famous by putting your name into the news Example how to do a screenshot on the Mac or PC Finally in case you were worried refresh the page and watch your team just disappear Why and how this works The browser is an app on your computer the request webpages from servers more on this later and displays them for you on your computer Because the browser is an app on your computer just like Word or Excel or account once a gets the webpage from the Internet and displays it for you you have a copy or version on your machine it's like opening a Word doc from your email once you open it you can change it and unless you save your changes the next time you open it it won't show you any of the changes he just made The big difference in this example is that word is designed to save your changes and will prompt you to do so well brazzers not refreshing the page is like reopening that word doc from your email again the browser gets a fresh copy from the server Sidenote you can save a webpage but we have a lot of other things to cover until that will be helpful


Dm
Dm9
Amaj9
Amaj9 piano
Amaj9 add m2 piano
Amaj11 add m2 piano
D1/2dim piano
SOUND: Amaj11 add m2 piano
SOUND: C
SOUND: C for piano


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Different parts of HQ use these two different approaches; both are supported.
HQ uses styles provided
by Bootstrap 3 Forms,
with the majority of forms using the
Notes on the example below:
Forms on CommCare HQ
HTML forms
form-horizontal
style.
{% verbatim %}{% csrf_token %}{% endverbatim %}
tag to protect against CSRF
attacks. HQ will reject forms that do not contain this token.
col-sm-*
, etc.) can be replaced by
{% verbatim %}{% css_field_class %}
, {% css_label_class %}
, and
{% css_action_class %}
{% endverbatim %}, which will fill in HQ's standard form
proportions.
vertical-resize
class to allow for long input.
Inputs that accept XPath expressions are especially likely to have very long input.
The text area does not support horizontal resizing, which can allow the user to expand a
textarea so that it overlaps with other elements or otherwise disrupts the page's layout.
autocomplete
attribute controls the browser's form autofill. Most forms in HQ
are unique to HQ and should set turn off autocomplete to prevent unexpected automatic input.
Exceptions would be forms that include information like a user's name and address.
Good error messages are specific, actionable, visually near the affected input. They occur as soon as a problem is detected. They help the user figure out how to address the situation: "Sorry, this isn't supported. Try XXX." Without any cues, the user is stuck in the same frustrating situation.
Errors in forms should be displayed near the relevant input using the .has-error
class. Note
that .has-error
is applied to the input's parent container, while any error
message should have be marked with .help-block
. There are .has-warning
and
.has-success
classes similar to .has-error
, though we don't use them often.
For form-level or page-level errors, use django's standard messages framework:
messages.error
, etc. In javascript, our alert_user module provides similar functionality.
<fieldset> ... </fieldset>
<fieldset />
<fieldset> <legend>Basic Information</legend> ... </fieldset>
controls
and its control-label
and is present inside the <fieldset>
after the <legend>
.
Sometimes the control group might have one label for a set
of related fields (multi field) or a modifiable table of objects.
<fieldset> <legend>Basic Information</legend>
 Email
 <input id="emailInput" ...>

 ... </fieldset>

 Email
 <input id="emailInput" ...>

for
attribute refers to
the id
attribute of the input. Clicking on the label
will focus on the input that has the id
specified in
for
.
A functional unit / input in the form.
</form>
tag.

 ...

It is always the first button specified in Form Actions and appears
as the left-most button. It has the following visual appearance,
using the btn-primary
class:
It submits the form and triggers its processing.
In Form Actions, it is the button with the following visual appearance,
using the btn-default
class:
Typically, this is the cancel button. It does some other action that causes you to navigate away from the form, but not save.
Crispy Forms generates HTML for forms based on python form definitions. Using it contributes to consistency in design and reduces boilerplate HTML writing. Crispy does not control the form's logic, processing, validation, or anything having to do with form data. It can be used specify hooks for the display logic.
Notes on the example below:
form_method
and form_action
are
the keys to how and where the form is submitted.
self.helper
controls the label and field widths. Best practice is to inherit from a
class like HQFormHelper
or HQModalFormHelper
(both defined in
hqwebapp.crispy) to get the standard form proportions.
If necessary, custom classes can be set using self.helper.label_class
and
self.helper.field_class
. The form's .form-horizontal
is also
automatically set by HQFormHelper
and similar classes, but it can be overridden with
self.helper.form_class
HQFormHelper
uses
.col-xs-12.col-sm-4.col-md-4.col-lg-2
for labels and
.col-xs-12.col-sm-8.col-md-8.col-lg-6
for fields. On a laptop or monitor, you likely
see 1:4 or 1:3 proportions, but if you shrink the browser window enough, you'll see the label and
field eventually stack on top of each other. See
bootstrap grid documentation
for a more thorough understanding of the responsive grid system.
css_class
to specify custom css-classes to the
field, like so:
hqcrispy.LinkButton( _("Cancel"), '#', css_class="btn btn-default", )
data-bind=""
, can be added like so:
crispy.Field( 'first_name', data_bind="value: firstName", )All underscores (
_
) in the attributes in Python turn into
hyphens (-
) in HTML, e.g., data_bind="foo"
becomes
data-bind="foo"
.


James E
Plaintiff, defendant & witnessExperiences
20162018
Counselor in Training
Kidrealm Arlington, Virginia- Working at summer camp
- Guiding kids through day
Selected Projects
20192020
Personal Web Page
Arlington Career Center Classes- Web page made for Web Page Design class
- Uses HTML, CSS, and Javascript
- https://violet6602.github.io/IDT110Work/
Education
2014present
H-B Woodlawn
H-B Woodlawn Arlington, Virginia- Computer Science
- AP Computer Science
- Robotics
2019present
Arlington Career Center
Arlington Tech Arlington, Virginia- Computer Info Systems
- Web Page Design


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Visiting other countries can be a great experience. Whether you are traveling for work or pleasure, solo or in a group, staying for a few days or several years, planning ahead can help ensure your time abroad is both enjoyable and safe.
The first step to an international trip is to read our Traveler’s Checklist to find out things to consider before you go. Pay special attention to our safety and security information and assess for yourself the risk of traveling to a particular country or region. Some U.S. citizens with special considerations – such as students, women, and LGBTI travelers – may face additional challenges when abroad. If you do decide to travel, make a plan for what to do if something goes wrong overseas.


An access modifier is one of public
, protected
or private
. They can be given to methods, variables (incl. fields), classes, interfaces and constructors.
If no access modifier is given, this is the fourth access modifier: default. See the entries for public
, protected
, private
and default access for more info.
A class
is a blueprint for an object. In a class you describe fields, methods and the special constructor.
A special type of method which does not declare a return type, and has the same name as the class
it's in. These methods are used to create an instance of the object whose blueprint is the class
.
The default
access modifier (also known as package-private), is the access level given when the keyword is omitted. Package-private access allows members of the same package
to access the item (item can be method, variable, constructor or interface
), but not sub-classes or any other class
(the world).
A field is a variable, which has special status within a class
. Fields are declared in the same way as variables, with the same access modifiers. A field will be remembered by the computer for as long as the object that created it is.
A keyword is any reserved word within the language you're using. In other words, a keyword is any member of the language syntax. Within this glossary, all Java keywords have been highlighted like this: public
, private
and interface
.
A variable is a named piece of information. Variables are given a type and a value, which the computer will remember until you don't need it anymore. Variables are also given an access modifier, and can be marked as final
.


Library cards and welcome packs for children in care
All children in care aged 0-18 are eligible for a free Suffolk Libraries card. This looks exactly the same as an ordinary library card, but:
- They won’t incur charges for overdue or lost items
- They won’t have to pay for a replacement card if they lose it.
Reading for pleasure has been shown to increase literacy, educational attainment, wellbeing and empathy, but it’s not just about the books.
Children can also use their library cards to borrow:
- Audiobooks
- CDs
- DVDs
- BBC micro:bits
- Items from our eLibrary
They can have up to 20 books and six audiobooks out at a time.
Welcome packs
Children in long-term care are entitled to a welcome pack alongside their library card. Each pack includes:
- A free sound and vision loan voucher
- Information about events and activities in libraries
- A free book.
If you are a carer looking after a child in long term care or their support worker you can register them for a library card at any library in Suffolk.
The child does not need to be present and staff will ask you for:
- Your Carers ID or CYP identification badge
- Your contact details and
- The child’s date of birth
If you would like to know more, contact help@suffolklibraries.co.uk


Grammatical error correction model for Japanese, based on transformers and keras/tensorflow 2. Github.
...


What is robots.txt and how have you configure it for your site?
Well, basically to be able to communicate with web crawlers or web robots in other websites and to categorizing the website materials for accessing we should include robots.txt in our websites. We can use this text file to allow a material or to disallow it. A web crawler uses automated algorithms to browse the websites on the world wide web and it also refers to our robots.txt.
As an example, I don't want to allow the Googlebot to view my images, so I have to indicate it in robots.txt like:
User-agent: Googlebot
Disallow: /images/
The robots.txt file should be at the top level directory of our web server. The robot will start looking in our root directory and will add the "robots.txt" in any directory that we have to find it.
I have decided to add my robots.txt file in the same directory which includes my index.html.
We should use all lower cases for the file name.
In the example above I have disallowed Googlebot to view my images, this can be also changed to "*". If we use "*" instead of robot name, it will mean all the robots! And if we use "/" instead of a directory name, the meaning will be all the directories and subdirectories.
So for example, I want to disallow all web robots and restrict their access from everything:
User-agent: *
Disallow: /
Some tips:
We should always remember to do not use "Dissallow" to address multiple directories. Each directory needs one disallow.
We can only use a line break in the file only if we want to write another User Agent. Don't use line break between Disallows!


Man ist entweder Teil der Lösung oder Teil des Problems. Ich habe mich für zweiteres entschieden
Hopefully this was also a good practical example how important Bower is going to be to the future of web design. Now that I have Bourbon installed via Bower I can simply pull in the latest updates without having to dump the files into a directory and just forget about them.


The ball snapped in the back of the net, and Ohio was on the board with a 3-0 lead.
Then he did it again and again. The freshman from Powell, who in his first home start in what’s sure to be a storied career at Ohio, gave the Bobcats just the spark they needed to open up the game against one of the Mid-American Conference’s best.
His 21 points – both a game and career high – helped push Ohio past Buffalo on Tuesday night in an 80-69 win in The Convo.
It was a game that Roderick needed to have. All season long, he’s dealt with injuries and trying to ease himself into being a key player for Ohio in his first season in college basketball. An ankle injury and then a broken hand limited his development. Once he was cleared, he was given a few minutes here and there just to get his body and mind right for a game atmosphere.
He’s had big moments where he’s come up short. Against Northern Illinois, he missed the game-tying field goal from the top of the key in a two point loss. At Bowling Green, he could’ve potentially sealed the game if he had made the second free throw.
Instead, the ball rimmed out, and the Falcons recovered. Justin Turner hit the game-winning shot with just two seconds left in a one point loss for the Bobcats.
Rather than mope about and stay in his head, Roderick opened Tuesday’s game a perfect 3-for-3 from beyond-the-arc and contributed half of Ohio’s 18 points in the first 10 minutes of the game.
“I just was getting up extra shots, watching film with all my coaches. Tonight (Tuesday) it just finally paid off,” Roderick said. “I’m just going to keep shooting.”
Roderick’s shots came from all over the floor. The left wing, the right wing, in the middle. Simply put, the reigning Ohio Gatorade Player of the Year had the coming out party that’s been 28 games in the making.
“Ben Roderick coming off the missed free throw, to have him do that performance was huge for his confidence,” coach Jeff Boals said. “In this game, confidence is everything. As a coach and as a teammate, you’ve got to build people up.”
Boals credited Roderick as one of the few players who can make a contested shot of all the talent that’s on the Bobcats roster when a defender isn’t giving much space or has a hand in his face.
For Roderick and his teammates, a performance such as the one against Buffalo doesn’t come as a surprise. Throughout the ups and downs that the Bobcats have experienced, Roderick has come on as of late. In their last few games, whether it’s been on the defensive end tallying up rebounds or offensively dishing out assists, the high-scoring performance was one he’s been wanting and needing.
“He’s a great shooter, knock down what, his first three 3s?” Jason Preston said. “He does this.”
Performances like the one against Buffalo soon won’t be seen as surprises. When he signed his letter of intent to play at Ohio, the 6 feet, 5 inch forward became the highest-rated recruit to sign and commit in program history.
“I just think it built up my confidence,” he said. “Especially getting the lead and holding that lead is what we have trouble with. It was good to come out with a win.”
Despite his injuries, he’s developed into a vital bench player, and with Lunden McDay working through an injury, Roderick might have bought himself more time in the starting five – especially with Ohio needing to close out the season strong to host a first round tournament game.
“Him being in a close game like he was against Bowling Green, it’s going to help him in the long run. It’s going to help us in the long run,” Boals said. “He’s going to be a big part of our future.”
When the final horn blared, signalling the Bobcats’ victory over their fellow Mid-American Conference rival, Roderick wiped the sweat from his brow and began shaking hands with the opponents.
Then, when he and his teammates traced the perimeter of the court high-fiving their fans, he let his guard down and smiled, knowing he was a difference maker.
Not only on Tuesday, but for the rest of his career.


The sporting weekend in pictures, including Mourinho, Jimenez, Davis Cup
Jose Mourinho returned to the dugout for the first time since his appointment as Tottenham head coach with a tense 3-2 win at West Ham.
25 Nov 2019, 10:24
Liverpool tightened their stance at the top of the Premier League with victory at Crystal Palace, with Leicester and Manchester City in close pursuit.
There were boxing title bouts, European action in rugby union, Europe's number one golfer was crowned in Dubai and the International Swimming League arrived in London.
Mourinho won his first match in charge of Tottenham at West Ham (John Walton/PA)
Great Britain reached the semi-final of the revamped Davis Cup but lost to Spain in the last four (Bernat Armangue/AP)
Raul Jimenez, left, scored his sixth goal in seven Premier League matches after extending Wolves' unbeaten league run to eight games with a 2-1 win at Bournemouth (Mark Kerton/PA)
England crushed Italy 60-3 in Bedford to end a successful year in style (David Davies/PA)
Arsenal needed a stoppage-time equaliser at home to Southampton in a 2-2 draw which increases pressure on under-fire boss Unai Emery (Yui Mok/PA)
Saracens ran out 44-3 winners against Ospreys in the Champions Cup at Allianz Park (Paul Harding/PA)
In-form Leicester secured their sixth successive win in all competition with a 2-0 victory at Brighton (Gareth Fuller/PA)
Callum Smith, left, successfully defended his WBA World, WBC Diamond and Ring Magazine super-middleweight titles in a controversial win over John Ryder in Liverpool (Richard Sellers/PA)
Liverpool extended their unbeaten Premier League streak to 30 games after a 2-1 triumph at Crystal Palace (Adam Davy/PA)
Deontay Wilder, top, defeated Luis Ortiz with a seventh-round knock-out to retain his WBC heavyweight title (Erik Verduzco/AP)
Marco Silva's job at Everton is under severe pressure after falling to a 2-0 home defeat against struggling Norwich on Saturday (Richard Sellers/PA)
Chris Wood, Ashley Barnes and James Tarkowski sent Watford bottom of the Premier League as Burnley bruised their way to a 3-0 victory at Vicarage Road (Nigel French/PA)
Ollie Pope, left, shakes the hand of New Zealand's BJ Watling after he was dismissed for 205 runs – the highest total by a Black Caps wicketkeeper (Mark Baker/AP)
Raheem Sterling had a goal ruled out by VAR in a tight offside decision as Manchester City defeated Chelsea 2-1 (Nick Potts/PA)
Chris Ashton scored a record-extending 40th Champions Cup try in Sale's 25-15 success against 14-man La Rochelle (Martin Rickett/PA)
Chelsea maintained their one-point lead at the top of the FA Women's Super League with a 6-0 win over Birmingham (Nick Potts/PA)
Jon Rahm claimed the 2019 Race to Dubai trophy after winning the DP World Tour Championship (Kamran Jebreili/AP)
Sheffield United striker Oli McBurnie, centre, scored a stoppage-time equaliser to earn a 3-3 draw with Manchester United (Danny Lawson/PA)
Adam Peaty helped London Roar reach the International Swimming Finals with victory in the 100m breaststroke at the London Aquatics Centre (Zac Goodwin/PA)
Spain clinched the Davis Cup on home soil – their first since 2011 (Manu Fernandez/AP)
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 The result is a man who is seemingly controlled by his animal urges. Hilarity ensues?
CRITIQUE: Before you read my review, you really gotta know that I loved DEUCE BIGALOW, it honestly cracked me up throughout. But when I saw the trailer for Rob Schneider's latest cinematic odyssey, it didn't particularly strike my fancy (i.e. I didn't think that it was funny). And now that I've seen the entire picture, I still don't think that it's all that funny. Sure, the concept itself does sound like something that might generate a gaggle of laughs, but the sight of Schneider licking his sack, swimming like a seal and jumping around from branch to branch like a monkey...just didn't make me laugh. It's that simple.  Now I don't know exactly why I didn't think any of it was funny, but I guess that has to do with your own personal sense of humor. My buddy next to me was cracking up at plenty of the same scenes which I didn't think were amusing, so who knows, maybe you'll like it too, but then again, he also thought that the trailer was pretty funny, so I guess that has something to do with it. One thing is for sure though, if you've seen this movie's trailer and didn't think that it was all that comical, skip this movie all the way because pretty much all of the "big" jokes are in there, and if you didn't roll with it then, I doubt that you're gonna dig it now that it's up on the big screen.
So why am I giving it a 4/10? Well, I generally do find at least "some" things in all movies that give it a little bit of worth. This time around, the positives in this film were actually pretty obvious to figure out. First of all, John C. McGinley's character is hilarious. He's the tough as nails cop with veins popping out of every muscle in his body and he doesn't like Schneider. McGinley plays the character to a tee and he steals every scene that he is in. I also drooled over one particular scene of a lovely lady sauntering down a sidewalk in a mini white dress or skirt or whatever. Not exactly sure what happened after that, because as soon as she bent over...so did I! I'd also like to throw some props out to the one ongoing joke that "worked" for me in this movie and that was the "black guy" joke. I won't ruin it here but the theory itself was quite funny. And last but certainly not least...Colleen Haskell. Aaaaaaaah, Colleen Haskell. Aaaaaaaah, I say again...Colleen Haskell. Just adorable! Put that girl on the screen for 85 more minutes and I'm there! Aaaaaaah...Colleen Haskell. Harumph, but enough about her. Okay, so there were a couple of things that I did appreciate about this movie, but don't misinterpret that as a positive review. Overall, I didn't think that anything that Schneider did in this film was funny, and I guess that really is the bottom line. If you think that seeing Schneider acting like different animals is entertaining, well, then I guess you might enjoy some of this. If not, forget this movie every happened and rent DEUCE BIGALOW again...now that's a funny movie! "You can do it!"
PS: Oh yeah, I also dug the fact that they kept the "You can do it!" gag going in this movie as well (for Sandler fans, you know what I'm talking about). It's also interesting to see who says it in this film (but I won't ruin that for you here either).
Where's JoBlo coming from? Big Daddy (7/10) - Billy Madison (7/10) - Deuce Bigalow (8/10) - Freddy Got Fingered (5/10) - Happy Gilmore (9/10) - Joe Dirt (5/10) - The Ladies Man (6/10) - Little Nicky (6/10) - Lost and Found (4/10) -The Waterboy (4/10)
Review Date: May 31, 2001 Director: Luke Greenfield Writers: Rob Schneider and Tom Brady Producers: Todd Garner, Carr D'Angelo, Barry Bernardi Actors: Rob Schneider as Marvin Mange Colleen Haskell as Rianna John C. McGinley Genre: Comedy Year of Release: 2001 ----------------------------------- JoBo's Movie Emporium http://www.joblo.com/ ----------------------------------- (c) 2001 Berge Garabedian
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