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sequence | sparse_values
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} | {
"context": "All right, so let's talk a little bit more about good design. So a couple of things you should think about just starting off as you start to form habits of writing programs. One is, if something is simpler or feasible, then it's probably better. If you're not sure if something is going to work, don't try to do it that way. Find a way that you're sure it's going to work and write the code that way."
} |
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"context": "If you're not sure if something is going to work, don't try to do it that way. Find a way that you're sure it's going to work and write the code that way. Once it's working, then you can go do your improved design after you commit your code to some version and the working version. The other really bad thing is when you get your code working, then you think, well, I can make it better."
} |
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} | {
"context": "Once it's working, then you can go do your improved design after you commit your code to some version and the working version. The other really bad thing is when you get your code working, then you think, well, I can make it better. You make it better, but you break it. And then you don't have a copy and subversion. You no longer have a working program. So always, always commit after you make your first code work."
} |
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} | {
"context": " You no longer have a working program. So always, always commit after you make your first code work. But if you have a simpler approach, it's probably a better approach"
} |
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"context": "The other really bad thing is when you get your code working, then you think, well, I can make it better. You make it better, but you break it. And then you don't have a copy and subversion. You no longer have a working program. So always, always commit after you make your first code work. But if you have a simpler approach, it's probably a better approach. It's easier to read. It's easier to write in a way that you know your code works."
} |
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} | {
"context": "It's easier to read. It's easier to write in a way that you know your code works. So simplicity is good. Avoid making things more complicated than they need to be. Try to use clear, obvious techniques. Second bullet, you want your program to be easy to understand as well. So take the time to do things like style, structure, indentation, comments. But also organize your functionality so that it's easy to go test it."
} |
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"context": "So take the time to do things like style, structure, indentation, comments. But also organize your functionality so that it's easy to go test it. Write your code in a way that you can make sure that each piece of your code works and that you can also do system-wide testing. So I'll give you some specific examples maybe at the end of today. But think about how am I going to make sure that what I wrote actually does what I wanted."
} |
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"context": "So I'll give you some specific examples maybe at the end of today. But think about how am I going to make sure that what I wrote actually does what I wanted. So think about that as you think about your design. All right. So here's an example just to get you started thinking. So imagine you want to do a survey. So I'm going to do a survey of n people in a room. And I want to ask them 20 questions."
} |
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"context": "So I'm going to do a survey of n people in a room. And I want to ask them 20 questions. And they're all going to answer from 1 to 5 for each question. So then I want to take all those answers. And I want to calculate the average over the n participants. So we're doing some important public opinion poll. So how are we going to do this? So you can do this the usual way. We'll call it method one."
} |
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"context": "So how are we going to do this? So you can do this the usual way. We'll call it method one. So I make a form. And I put all 20 questions on the form with 1 through 5. You can circle. And I hand each of you a piece of paper. And then you circle your numbers. And then we collect them. So then what do we do with that? So we've got a bunch of forms. We've got maybe 80, 90 people in the room."
} |
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} | {
"context": "So then what do we do with that? So we've got a bunch of forms. We've got maybe 80, 90 people in the room. And we've got a bunch of forms of 20 questions on them. And how do I calculate the averages? So do I iterate first over the questions or iterate first over the forms? So for example, here's a couple of ways to do it. So question first is on the top. So I say, well, for every question, I go through all of the forms."
} |
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"context": "So question first is on the top. So I say, well, for every question, I go through all of the forms. And I add up that number from each form for that question, so f of q. And then when I'm done with all the forms, I divide that number by n, the number of forms. And that gives me an average for that question, which I can then print out and then go on to the next question. Or I can do the form first."
} |
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"indices": [
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"values": [
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} | {
"context": "And that gives me an average for that question, which I can then print out and then go on to the next question. Or I can do the form first. So I can make an array of all zeros, so 20 zeros. And then I'll take a form. And I'll add for each question, I'll add one number into one of my array elements. And then I'll put the form away. And I'll get the next form. And I'll go iterate over forms first."
} |
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"context": " And I'll get the next form. And I'll go iterate over forms first. Then when I'm done, I'll take my array. And I'll divide each entry by n and print it out. And that'll give me the average of all the questions. So which is better? Well, so if I iterate over questions first, I only have to remember one sum at a time"
} |
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} | {
"context": "And then I'll put the form away. And I'll get the next form. And I'll go iterate over forms first. Then when I'm done, I'll take my array. And I'll divide each entry by n and print it out. And that'll give me the average of all the questions. So which is better? Well, so if I iterate over questions first, I only have to remember one sum at a time. Maybe I even keep the sum in my head."
} |
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} | {
"context": "So which is better? Well, so if I iterate over questions first, I only have to remember one sum at a time. Maybe I even keep the sum in my head. So that's nice, a little easier that way. On the other hand, if you think about just moving paper around, now I have to go through these forms, all of the forms, 20 times. So that's 20 n forms I have to get out to look up, you know, question 15, question 16."
} |
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"context": "On the other hand, if you think about just moving paper around, now I have to go through these forms, all of the forms, 20 times. So that's 20 n forms I have to get out to look up, you know, question 15, question 16. I have to look that up every time. That's kind of a pain, a lot of paperwork. But what about this other approach? What if I iterate first over forms? Well, then I have to keep track of 20 sums."
} |
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"context": "That's kind of a pain, a lot of paperwork. But what about this other approach? What if I iterate first over forms? Well, then I have to keep track of 20 sums. I can't keep track of 20 numbers in my head. So I'm going to have to have another piece of paper that has my numbers on it now. On the flip side, I only have one form at a time. And I read the questions in order. So I get a form."
} |
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"context": "And I read the questions in order. So I get a form. I go one, two. Very easy and very fast. So there are pros and cons to both. But well, why did we have to do it that way? So here's another way we could do it. We could have 20 pieces of paper, one for each of the 20 questions. And I could say to everyone in the room, well, make sure that you come up and put a number from 1 to 5 for your vote for each of the 20 pieces of paper."
} |
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"context": "We could have 20 pieces of paper, one for each of the 20 questions. And I could say to everyone in the room, well, make sure that you come up and put a number from 1 to 5 for your vote for each of the 20 pieces of paper. So if we do it that way, then we can do this algorithm. For every form, every question, set a sum to 0. And then for each person on the form, each number written down on the form, we'll just add to our sum."
} |
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"context": "For every form, every question, set a sum to 0. And then for each person on the form, each number written down on the form, we'll just add to our sum. And when we're done, divide by n. And then we get the answer. Then we can go to the next piece of paper. So get kind of the best of both. So one sum at a time. Each paper has one sum. And we only have one form at a time, because you just read all the answers off of one piece of paper."
} |
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"context": "Each paper has one sum. And we only have one form at a time, because you just read all the answers off of one piece of paper. So why don't we do surveys that way? Which one is better? Depends what we say, better, right? So what's better about method one? I mean, why do you think people don't do surveys the second way? Why don't we just say, look, I'll post a piece of paper up here. And everyone come and put a number on there."
} |
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"context": "So why don't we do surveys that way? Which one is better? Depends what we say, better, right? So what's better about method one? I mean, why do you think people don't do surveys the second way? Why don't we just say, look, I'll post a piece of paper up here. And everyone come and put a number on there. Right? Yeah, so there's confidentiality issues, sort of. I mean, if all you're going to write is a number from 1 to 5, that's probably as anonymous as giving you a piece of paper where I can maybe even coordinate your answers."
} |
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"context": "Right? Yeah, so there's confidentiality issues, sort of. I mean, if all you're going to write is a number from 1 to 5, that's probably as anonymous as giving you a piece of paper where I can maybe even coordinate your answers. Yeah. Yeah, so more typing. OK, but we're doing all this by hand. So yeah. Yeah, yeah, so participation is probably going to drop. And I have no real way to gauge it."
} |
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} | {
"context": " Yeah, yeah, so participation is probably going to drop. And I have no real way to gauge it. I've got a form with a bunch of numbers on it. So I can't say, well, you didn't actually do your form. Whereas if they make you turn in a form, I mean, we didn't say this would be anonymous"
} |
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"context": "Yeah. Yeah, so more typing. OK, but we're doing all this by hand. So yeah. Yeah, yeah, so participation is probably going to drop. And I have no real way to gauge it. I've got a form with a bunch of numbers on it. So I can't say, well, you didn't actually do your form. Whereas if they make you turn in a form, I mean, we didn't say this would be anonymous. I could have even have you put your name on it."
} |
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"context": "Whereas if they make you turn in a form, I mean, we didn't say this would be anonymous. I could have even have you put your name on it. So if I don't get an answer sheet from you, I say, ah, you didn't want to participate. So there's a bunch of different things. Good answers. So easier to organize. So I can say, well, I'm going to put my name on it. And I can say, well, I'm going to put my name on it."
} |
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"context": "So I can say, well, I'm going to put my name on it. And I can say, well, I'm going to put my name on it. Good things, good answers, so easier to organize. Because if I really ask everyone to line up and find 20 pieces of paper, it's pretty challenging just to say, well, did I get all of them? Are you going to remember which of the 20 you held? You probably need a piece of paper to keep track of them too."
} |
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"context": "Good things, good answers, so easier to organize. Because if I really ask everyone to line up and find 20 pieces of paper, it's pretty challenging just to say, well, did I get all of them? Are you going to remember which of the 20 you held? You probably need a piece of paper to keep track of them too. Easier to avoid cheating. So what about the person who comes down? They really think this question is important."
} |
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"context": "Easier to avoid cheating. So what about the person who comes down? They really think this question is important. So they write 55555. Who stops them? How do we know it was them? Participation too. So how do you know whether someone participated? How do you encourage them to participate? Because the work's all on the people now. So well, you've got to go track down that last sheet of paper."
} |
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"context": "So how do you know whether someone participated? How do you encourage them to participate? Because the work's all on the people now. So well, you've got to go track down that last sheet of paper. So there's a bunch of reasons that we wouldn't want to do it that way. But just out of this simple question, there are lots of different trade-offs for the different approaches. So that's kind of my point."
} |
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"context": "But just out of this simple question, there are lots of different trade-offs for the different approaches. So that's kind of my point. It's not easy to know, well, what's the right way to do something? There are many, many ways to measure goodness for algorithm design. I hope you're ready. It's been a long lecture so far. Bits. No bits yet. OK, you ready? I need your help. Can someone help me out here? Anyone, just raise your hand."
} |
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"context": "OK, you ready? I need your help. Can someone help me out here? Anyone, just raise your hand. Who wants to help me? Yeah, Daniel. So B to C. Good. I can do that. F, good. G, good. H, like that? Awesome. That is good. That is really good. OK. Thank you. That was helpful. Is that OK? You can be assistant walking director. That's a better idea. Is it good? Can you do this? OK, teach my computer."
} |
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"context": "That's a better idea. Is it good? Can you do this? OK, teach my computer. OK. LC3 instructions, anyone? Do I look like I'm in good shape? Yes, it has to be the shortest path. I don't want to walk all around. I want to go straight to strawberry fields. I'm already hungry. Yeah, but I'm not. I'm in my office. This has to be independent of those kind of things. All right, anyone? Any ideas? Yeah."
} |
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"context": "This has to be independent of those kind of things. All right, anyone? Any ideas? Yeah. Oh, that's a good idea. I'm going to do that. I'm going to do that. I'm going to do that. I'm going to do that. I'm going to do that. I'm going to do that. I'm going to do that. I'm going to do that. I'm going to do that. That's debatable. Oh, so you want to just give me, for this map, you'll give me all the answers? Because I actually have the Google Maps database."
} |
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"context": " That's debatable. Oh, so you want to just give me, for this map, you'll give me all the answers? Because I actually have the Google Maps database"
} |
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"context": "Oh, that's a good idea. I'm going to do that. I'm going to do that. I'm going to do that. I'm going to do that. I'm going to do that. I'm going to do that. I'm going to do that. I'm going to do that. I'm going to do that. That's debatable. Oh, so you want to just give me, for this map, you'll give me all the answers? Because I actually have the Google Maps database. If you could just fill in all the answers for that, then we're good."
} |
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"context": "Oh, so you want to just give me, for this map, you'll give me all the answers? Because I actually have the Google Maps database. If you could just fill in all the answers for that, then we're good. All right, so I have an idea. Too late. Too late if you know a good answer. So we're going to list all the paths. So this is step one. We'll just list all the paths. Then we'll measure all the paths."
} |
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]
} | {
"context": "We'll just list all the paths. Then we'll measure all the paths. Then we'll pick the shortest one. Sound good? Come on. Let's try it. So we need a more complex data structure, which is, yeah, that's beyond what I want to talk about now. Let's just figure out how we do it. We can map it to LC3 later. So list all the paths. So let's see. I'm at B. If I can go to A, I can go back. Good point."
} |
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} | {
"context": "If I can go to A, I can go back. Good point. And then I'm at B. If I can go to A. And then go to B, A, B, A. How long are you going to let me go here? All right. So that's maybe not that. All right, so that was a little silly of me. OK, so let's do simple paths. A simple path in math is one where you only visit any node once. So we'll only list the simple paths. So OK. Yeah, this one's infinite."
} |
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"context": "So OK. Yeah, this one's infinite. The one I was showing you is infinite, right? So that would not be a path that would take us. So I won't list that. That would take me to H. Yes. So you can end up, Benny, right? Yeah, so Benny's pointing out that if I take simple paths, I may run into a dead end. So that's not a path to H. So I won't write that one down. Yeah, yeah. But I want strawberry fields today."
} |
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} | {
"context": "Yeah, yeah. But I want strawberry fields today. You guys think I'm so flexible. All right. All right, so let's try this again. So I'm going to start at B. And then I'll go to, say, C. And then I'll go to F. Oh, this is good. This is good. And I'll go maybe over to E. And then how about down to L? And then M. And then N. And then G. And then H. There's one path. All right, now we've got some more paths."
} |
151240 | [
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} | {
"context": "There's one path. All right, now we've got some more paths. Thank you. OK. So it turns out, yeah, that's some bad news. Turns out that for some graph with p nodes, the number of paths is actually exponential in p. So I had another good idea. Are we good? Maybe not. You didn't seem excited. All right, so here, let's try this. This is my last try. So let's have a queue of nodes. And then we'll keep track of the best previous location."
} |
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"context": "So let's have a queue of nodes. And then we'll keep track of the best previous location. So for every node, we'll say, well, it came from some other node. And then we'll go through the queue one at a time. A queue is just a line. So we'll go through the queue and process the nodes one at a time. And we'll add any unvisited neighbors from that node to the queue. We'll just put them into the queue."
} |
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} | {
"context": " And we'll add any unvisited neighbors from that node to the queue. We'll just put them into the queue"
} |
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"context": "This is my last try. So let's have a queue of nodes. And then we'll keep track of the best previous location. So for every node, we'll say, well, it came from some other node. And then we'll go through the queue one at a time. A queue is just a line. So we'll go through the queue and process the nodes one at a time. And we'll add any unvisited neighbors from that node to the queue. We'll just put them into the queue."
} |
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"values": [
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} | {
"context": "And we'll add any unvisited neighbors from that node to the queue. We'll just put them into the queue. So I'll show you what I mean. So here's our queue. And so we haven't put anything in yet. Here's the previous for each element of the queue. So we'll start here at CSL. And we'll put that in the queue. And it didn't come from anywhere. That's where we started. So I'll just put a little dash there."
} |
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} | {
"context": "That's where we started. So I'll just put a little dash there. All right, so let's process node B. So where can I go from node B? So A first, right? So I'll put that one in the queue. And then D. All right. And then E. And then one more, so I can go to C. OK, so what we did to process the element is we said, well, for everywhere we can go directly by walking around one edge, we'll add those nodes to the queue, but only if they weren't already there."
} |
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"context": "And then one more, so I can go to C. OK, so what we did to process the element is we said, well, for everywhere we can go directly by walking around one edge, we'll add those nodes to the queue, but only if they weren't already there. And so remember this caveat here. Only if it's unvisited, so only if we haven't already put it in the queue. So there was our first exploration. So B was finished."
} |
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]
} | {
"context": "So there was our first exploration. So B was finished. So now that's done. So let's go on. The next element in the queue is A. So let's explore node A. Where can we go from A? We can go down here, right? Yeah, we already saw D. So we're not going to add that to the queue. It's already there. We can also go to B. B is also there. All right, so we're done. Nothing to do for A. OK, so A is done."
} |
860933 | [
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} | {
"context": "Nothing to do for A. OK, so A is done. So what's next? D, good. OK, so we can go to K. So we'll put K. Now, notice that K came from D. We're processing D now. So to get to K, we'll come from D. So we'll put D down there instead of B, like we did for all these others. All right, so let's see. K, what's over here? E. So we've been there, right? Then we can go up this way to B. Been there."
} |
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} | {
"context": "So we've been there, right? Then we can go up this way to B. Been there. And then we've got one more direction, right? Been there too. OK, so I think we're done with D. D is done. And what's next? E? So we can go left to B. Already there. Go down to L. And that one's not there yet. So we'll add that in. And we'll say, well, we came from E. Coming from E to L. We can go over to F. That one's also not in our queue yet."
} |
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} | {
"context": "We can go over to F. That one's also not in our queue yet. So we'll add it in. So F comes from E also. And then we can also go up to B from E. But B is already in the queue. All right? Then we'll do C next. So from C, we can go to B. But that's there. Go to F. But that's there. So C is done. OK, next is K. Where can we go from K? To J, huh? So we'll put that one in. So J comes from K, because that's a new one."
} |
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"indices": [
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"values": [
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} | {
"context": " Where can we go from K? To J, huh? So we'll put that one in. So J comes from K, because that's a new one"
} |
935733 | [
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"context": "So we'll add it in. So F comes from E also. And then we can also go up to B from E. But B is already in the queue. All right? Then we'll do C next. So from C, we can go to B. But that's there. Go to F. But that's there. So C is done. OK, next is K. Where can we go from K? To J, huh? So we'll put that one in. So J comes from K, because that's a new one. We can also go to L, right? But L's there."
} |
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} | {
"context": "So J comes from K, because that's a new one. We can also go to L, right? But L's there. It's already here. And then we can also go to D. But of course, D is there. That's where we came from, K. OK, so K is done. Not too much more, but we still haven't gotten to strawberry peels. I'm a little disappointed. All right, so what's next? L? L can come from K, but K is already there. L can come from M."
} |
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} | {
"context": "All right, so what's next? L? L can come from K, but K is already there. L can come from M. OK, so M comes from L. All right, and then L can also go up to E. But E is already there. All right, so F is next. So F can come from E, but it's already there. M is already there. N we can add in. So N comes from F. We can get there from F. G we can add in from F also. And then C is already there."
} |
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} | {
"context": "G we can add in from F also. And then C is already there. All right, that one's done. So how about J? Anywhere we can go from J? Just K, right? We've already been there. That's how we got to J. K is already in the queue. So let's skip that one. Or rather, just process it quickly. What about M? So we can go to L. L's there. N's there. And F's also there. So there's nothing to add. So that's processed."
} |
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"context": "So there's nothing to add. So that's processed. Next one is N. Put that down. Where can we go from N? G, M, F. So there's M in the queue already. There's G in the queue already. And there's F in the queue already. So nothing extra. Yeah, Arun? Are you faking it? All right, so let's see. What's next? Process the next node. So here we go. There's F. That's already in the queue. There's N."
} |
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} | {
"context": "That's already in the queue. There's N. Hey, there's H. H comes from G. I sort of made this unnaturally long. So we got our goal. So how do we get the path? Go backwards. So here's H. So let's see. So H came from G. Where'd G come from? F. Good. Where'd F come from? E. Good. Where'd E come from? E. Good. And that's our path. So we got B, E, F, G, H. Same path as before, I think. Oh, almost, I think maybe we went to C before."
} |
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} | {
"context": "Same path as before, I think. Oh, almost, I think maybe we went to C before. I don't remember. OK, excellent. So now my computer can solve this problem. So that approach is called breadth-first search. So it looks at nodes in order of distance. So it seemed like we put a lot of stuff. That's because the place we were trying to go was the furthest away in the graph. So I just kind of trimmed the graph a little, didn't put anything that was further away."
} |
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"context": " That's because the place we were trying to go was the furthest away in the graph. So I just kind of trimmed the graph a little, didn't put anything that was further away"
} |
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"context": "Same path as before, I think. Oh, almost, I think maybe we went to C before. I don't remember. OK, excellent. So now my computer can solve this problem. So that approach is called breadth-first search. So it looks at nodes in order of distance. So it seemed like we put a lot of stuff. That's because the place we were trying to go was the furthest away in the graph. So I just kind of trimmed the graph a little, didn't put anything that was further away."
} |
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"context": "That's because the place we were trying to go was the furthest away in the graph. So I just kind of trimmed the graph a little, didn't put anything that was further away. But if you look at the distance in terms of number of streets you have to walk along to get from CSL at B to these other nodes, you'll notice that for each of the elements in the queue, the number of hops, as we say, or the distance to those nodes is strictly increasing."
} |
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"context": "So I just kind of trimmed the graph a little, didn't put anything that was further away. But if you look at the distance in terms of number of streets you have to walk along to get from CSL at B to these other nodes, you'll notice that for each of the elements in the queue, the number of hops, as we say, or the distance to those nodes is strictly increasing. So to get to A, D, E, and C, you just have to walk along one street."
} |
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"context": "But if you look at the distance in terms of number of streets you have to walk along to get from CSL at B to these other nodes, you'll notice that for each of the elements in the queue, the number of hops, as we say, or the distance to those nodes is strictly increasing. So to get to A, D, E, and C, you just have to walk along one street. To get to K, L, and F, you walk along two streets."
} |
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} | {
"context": "So to get to A, D, E, and C, you just have to walk along one street. To get to K, L, and F, you walk along two streets. To get to J, M, N, and G, you walk along three streets. And then to get to H, you walk along four streets. So in fact, you could take some big map database and you could run exactly the same algorithm, and you'd only look at the nodes that are at the distance you want to go."
} |
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"context": "And then to get to H, you walk along four streets. So in fact, you could take some big map database and you could run exactly the same algorithm, and you'd only look at the nodes that are at the distance you want to go. You actually wouldn't walk around the world trying to find things. You would simply look in the local area, and this would work quite well. So it explores the nodes in order of distance."
} |
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"context": "You would simply look in the local area, and this would work quite well. So it explores the nodes in order of distance. So you can use it with some commercial map database, and it'll be fine. So BFS was actually invented by EF Moore, who invented also more machines and some other things. And once you've seen it, all of you could probably do this. If I give you another map and I said, well, find the shortest path here, then you could probably do that pretty easily, pretty straightforward."
} |
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"context": "And once you've seen it, all of you could probably do this. If I give you another map and I said, well, find the shortest path here, then you could probably do that pretty easily, pretty straightforward. People used to think of it as artificial intelligence. It used to be, well, there's these great AI techniques. You can do breadth-first search. You can do depth-first search. Depth-first search, you just put the things at the front instead of the end when you add them in."
} |
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"context": "You can do depth-first search. Depth-first search, you just put the things at the front instead of the end when you add them in. But it has different properties. So what's the message? Well, finding the best algorithm for something, probably most of you didn't know how to do this. When I said, oh, teach my computer how to solve this problem, probably most of you said, well, I don't know."
} |
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"context": "So what's the message? Well, finding the best algorithm for something, probably most of you didn't know how to do this. When I said, oh, teach my computer how to solve this problem, probably most of you said, well, I don't know. I know how to do it. I look at the map, and I said, go this way. But probably most of you didn't just say, ah, just make a queue. I mean, if you've seen it before, probably you did."
} |
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"context": "But probably most of you didn't just say, ah, just make a queue. I mean, if you've seen it before, probably you did. Experience will help. Classes will help. All of the copies have to take these two classes. I know a lot of EEs also take 225. You may also want to take 374. They're both good classes. Don't worry in our class about finding ideal solutions. You'll have plenty of time to learn."
} |
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"context": "Don't worry in our class about finding ideal solutions. You'll have plenty of time to learn. And classes and experience will help you in that regard. So what can you do now? So I mentioned a couple of things earlier. Always start with a mental model. Write lots of comments. Structure your code clearly. When you're writing binary, put the spaces in so it's easy for you and someone else to read."
} |
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"context": " Structure your code clearly. When you're writing binary, put the spaces in so it's easy for you and someone else to read. Indentation and alignment for C and assembly code"
} |
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} | {
"context": "You may also want to take 374. They're both good classes. Don't worry in our class about finding ideal solutions. You'll have plenty of time to learn. And classes and experience will help you in that regard. So what can you do now? So I mentioned a couple of things earlier. Always start with a mental model. Write lots of comments. Structure your code clearly. When you're writing binary, put the spaces in so it's easy for you and someone else to read."
} |
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} | {
"context": "Structure your code clearly. When you're writing binary, put the spaces in so it's easy for you and someone else to read. Indentation and alignment for C and assembly code. Really, don't leave your spaces out, because if you're looking at a group of 16 bits, you're going to have a hard time noticing that one of them is wrong. It's hard enough just looking at them with the spaces. But without the spaces, it's almost impossible."
} |
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} | {
"context": "It's hard enough just looking at them with the spaces. But without the spaces, it's almost impossible. Some other tips. So try to avoid repetition. It's really tempting sometimes to say, oh, I've got some other code that almost does the same thing. Let me cut it and paste it into place. You're better off kind of generalizing your code. Often, bugs get copied when you do that. Chances are good the code you're copying has a bug in it."
} |
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"context": "Often, bugs get copied when you do that. Chances are good the code you're copying has a bug in it. And when you do that, you're copying the bug. And people spend lots and lots of time tracking down bugs they've already solved, because someone cut that bug and put it somewhere else too. And so they find one bug, and then they don't realize it's been cut and pasted somewhere else, and they have to solve it again later."
} |
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"context": "And people spend lots and lots of time tracking down bugs they've already solved, because someone cut that bug and put it somewhere else too. And so they find one bug, and then they don't realize it's been cut and pasted somewhere else, and they have to solve it again later. That's also a common thing people end up doing, just because people tend to think the same way and make the same mistakes."
} |
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} | {
"context": "And so they find one bug, and then they don't realize it's been cut and pasted somewhere else, and they have to solve it again later. That's also a common thing people end up doing, just because people tend to think the same way and make the same mistakes. So there's something called regression testing we'll talk about in 220 that will help you get rid of common errors. Did a question make it in there? OK."
} |
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"context": "So there's something called regression testing we'll talk about in 220 that will help you get rid of common errors. Did a question make it in there? OK. All right, another thing you can do is try to design your code to make it easier to test. I mentioned this earlier. You have finite time. And you're going to spend finite time testing your code, making sure it works before you turn it in, before you ship a product, whatever your deadline is."
} |
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"context": "You have finite time. And you're going to spend finite time testing your code, making sure it works before you turn it in, before you ship a product, whatever your deadline is. You don't have forever. You've got a fixed amount of time you're going to spend. So if your program is easier to test, then you'll do more testing. If your program takes a long time just to get it ready to test in a simple way, then you'll do less testing, because it's hard."
} |
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"context": "So if your program is easier to test, then you'll do more testing. If your program takes a long time just to get it ready to test in a simple way, then you'll do less testing, because it's hard. It's painful. So for example, if you look in the lab, you've been playing with the simulator. There's a graphical simulator. There's a command line simulator. The graphical simulator actually just sends commands to the command line simulator."
} |
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"context": "There's a command line simulator. The graphical simulator actually just sends commands to the command line simulator. All the testing is done on the command line simulator to make sure it works. And then the GUI stuff is actually quite difficult to test. So we don't test it that way. Testing something that only has a GUI interface means that there's some human there playing with a mouse, typically."
} |
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"context": "So we don't test it that way. Testing something that only has a GUI interface means that there's some human there playing with a mouse, typically. It's really slow compared to having a computer try to test a lot of things at once. So make sure that you have a testing interface that allows you to do testing really quickly. And then your code will be more solid. So we have a few minutes left."
} |
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"context": " And then your code will be more solid. So we have a few minutes left. Let me get you thinking about this for Friday, because I think we'll spend most of the day developing it and writing code for it and things like that. So let me tell you what the problem is. So let's say that we want to do the following"
} |
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"context": "So make sure that you have a testing interface that allows you to do testing really quickly. And then your code will be more solid. So we have a few minutes left. Let me get you thinking about this for Friday, because I think we'll spend most of the day developing it and writing code for it and things like that. So let me tell you what the problem is. So let's say that we want to do the following."
} |
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} | {
"context": "So let me tell you what the problem is. So let's say that we want to do the following. So I'll give you an ASCII string, which is a bunch of characters in memory, sequentially in memory, terminated by a null, which is a 0 in ASCII. And I want you to go through that string and find all of the occurrences of each letter, so A to Z, regardless of case, and count up. So how many A's, how many B's, so forth."
} |
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} | {
"context": "And I want you to go through that string and find all of the occurrences of each letter, so A to Z, regardless of case, and count up. So how many A's, how many B's, so forth. And also count the number of non-alphabetic characters. So I want to count for each letter and account for the number of non-alphabetic characters. Are you ready? We'll do systematic decomposition. There. Build histogram of letters and non-letters."
} |
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"context": "There. Build histogram of letters and non-letters. And we're done. That's my part. You do the rest. So sometimes people ask me, well, what's a histogram? So let me make sure everyone knows that. Histogram is a function on a set of categories. There's one way to explain it. So here's a couple of examples. So here are the number of leaves on my favorite tree in September. And this many were green, and this many were yellow, and this many were orange, and red, and brown, and this many had fallen off."
} |
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} | {
"context": "So here are the number of leaves on my favorite tree in September. And this many were green, and this many were yellow, and this many were orange, and red, and brown, and this many had fallen off. And then I measured again in October. I made these data up. These are not real data. But I measured again in October. These are both histograms. So they show you for some categories here, leaf colors, or whether they've fallen off the tree, what's the expected frequency, or what is the measured frequency of those categories."
} |
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"context": "These are both histograms. So they show you for some categories here, leaf colors, or whether they've fallen off the tree, what's the expected frequency, or what is the measured frequency of those categories. So those are histograms. So what we want in our problem is a count per letter. So for the string, how many A's? Either case. How many B's? Either case. Blah, blah, blah, blah, blah."
} |
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} | {
"context": "How many B's? Either case. Blah, blah, blah, blah, blah. How many Z's? So how would you do this? Yeah, Nathan? 42. Yeah, so that's one thing we're going to have to do inside. Subtract 40 hex, maybe, right? The below letter A, yeah. All right, so what I meant was, how would you, as a human, solve this problem? So let's do this string as an example. Yeah? I mean, I think whether or not the value is out of text, like, I mean, you could use random letter that has a number of hexes."
} |
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} | {
"context": "All right, so what I meant was, how would you, as a human, solve this problem? So let's do this string as an example. Yeah? I mean, I think whether or not the value is out of text, like, I mean, you could use random letter that has a number of hexes. Yeah, yeah, yeah. So you can, Eric's saying, you can basically check for A, and then maybe check for B, and so forth. I think what Nathan was saying is you can actually subtract and maybe use that difference from 1 to 26 as an index in the memory, for example."
} |
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"context": "So you can, Eric's saying, you can basically check for A, and then maybe check for B, and so forth. I think what Nathan was saying is you can actually subtract and maybe use that difference from 1 to 26 as an index in the memory, for example. So there are a bunch of ways you can do it. So all of those are good answers. What I'm looking for, though, is a higher level process, right? So if I literally said, well, do this example."
} |
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"context": " So all of those are good answers. What I'm looking for, though, is a higher level process, right? So if I literally said, well, do this example. Give me the histogram for this example. What are you going to do as a human? And maybe we can model our program based on what we do as humans. So how many A's? Three? The string"
} |
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} | {
"context": "So there are a bunch of ways you can do it. So all of those are good answers. What I'm looking for, though, is a higher level process, right? So if I literally said, well, do this example. Give me the histogram for this example. What are you going to do as a human? And maybe we can model our program based on what we do as humans. So how many A's? Three? The string. Try this string as an example as our string."
} |
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} | {
"context": "So how many A's? Three? The string. Try this string as an example as our string. Three A's, right? OK. How many B's? Oh. How many C's? Zero. Good. How many D's? Good. How many E's? Two. Good. All right. That's enough, right? All right. So maybe something like this is probably what you did. So for every letter, set a count to zero, and then go through each character in the string. And if you see that letter, add one to your count, and then store the count for that letter in your histogram."
} |
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"context": "So for every letter, set a count to zero, and then go through each character in the string. And if you see that letter, add one to your count, and then store the count for that letter in your histogram. So when I said, oh, how many A's? You probably look through the string. There's an A. There's an A. There's an A3. And I said, how many B's? You went through the string again. You went through the string 26 times or 27 times."
} |