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explain them in these points and give examples of them how do we represent a class in a diagram? square or rectangle? usually this rectangle is divided into three parts the first part is the class name and the second part is the attributes and the third part is operations or methods of course how do we put attributes?", "tokens": [474, 456, 366, 512, 18491, 300, 366, 1974, 322, 264, 6316, 321, 486, 2903, 552, 294, 613, 2793, 293, 976, 5110, 295, 552, 577, 360, 321, 2906, 257, 1508, 294, 257, 10686, 30, 3732, 420, 21930, 30, 2673, 341, 21930, 307, 6666, 666, 1045, 3166, 264, 700, 644, 307, 264, 1508, 1315, 293, 264, 1150, 644, 307, 264, 17212, 293, 264, 2636, 644, 307, 7705, 420, 7150, 295, 1164, 577, 360, 321, 829, 17212, 30], "avg_logprob": -0.6332236685250935, "compression_ratio": 1.8396226415094339, "no_speech_prob": 1.7881393432617188e-07, "words": [{"start": 312.3, "end": 312.48, "word": "and", "probability": 0.1983642578125}, {"start": 312.48, "end": 312.62, "word": " there", 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The name of the attribute is Nuha with two dots. Ok? Ok, this shows you that the first part is class name.", "tokens": [2278, 1315, 295, 264, 19667, 307, 13612, 1641, 365, 732, 15026, 13, 440, 1315, 295, 264, 19667, 307, 13612, 1641, 365, 732, 15026, 13, 3477, 30, 3477, 11, 341, 3110, 291, 300, 264, 700, 644, 307, 1508, 1315, 13], "avg_logprob": -0.5874999940395356, "compression_ratio": 1.5816326530612246, "no_speech_prob": 0.0, "words": [{"start": 339.17, "end": 339.55, "word": "The", "probability": 0.173828125}, {"start": 339.55, "end": 339.55, "word": " name", "probability": 0.6982421875}, {"start": 339.55, "end": 339.63, "word": " of", "probability": 0.9541015625}, {"start": 339.63, "end": 339.67, "word": " the", "probability": 0.7900390625}, {"start": 339.67, "end": 340.09, "word": " attribute", "probability": 0.93798828125}, {"start": 340.09, "end": 340.33, "word": " is", "probability": 0.740234375}, {"start": 340.33, "end": 342.27, "word": " Nuha", "probability": 0.284942626953125}, {"start": 342.27, "end": 342.27, "word": " with", "probability": 0.11981201171875}, {"start": 342.27, "end": 342.27, "word": " two", "probability": 0.802734375}, {"start": 342.27, "end": 342.27, "word": " dots.", "probability": 0.658203125}, {"start": 342.35, "end": 342.59, "word": " The", "probability": 0.1829833984375}, {"start": 342.59, "end": 342.59, "word": " name", "probability": 0.458251953125}, {"start": 342.59, "end": 342.71, "word": " of", "probability": 0.96044921875}, {"start": 342.71, "end": 342.75, "word": " the", "probability": 0.91015625}, {"start": 342.75, "end": 343.03, "word": " attribute", "probability": 0.93212890625}, {"start": 343.03, "end": 343.29, "word": " is", "probability": 0.92529296875}, {"start": 343.29, "end": 344.69, "word": " Nuha", "probability": 0.9384765625}, {"start": 344.69, "end": 344.75, "word": " with", "probability": 0.90478515625}, {"start": 344.75, "end": 344.77, "word": " two", "probability": 0.9384765625}, {"start": 344.77, "end": 344.89, "word": " dots.", "probability": 0.90478515625}, {"start": 344.97, "end": 345.25, "word": " Ok?", "probability": 0.1632080078125}, {"start": 349.51, "end": 349.79, "word": " Ok,", "probability": 0.41162109375}, {"start": 349.87, "end": 350.05, "word": " this", "probability": 0.4921875}, {"start": 350.05, "end": 350.39, "word": " shows", "probability": 0.31640625}, {"start": 350.39, "end": 350.69, "word": " you", "probability": 0.51953125}, {"start": 350.69, "end": 351.01, "word": " that", "probability": 0.880859375}, {"start": 351.01, "end": 351.13, "word": " the", "probability": 0.8037109375}, {"start": 351.13, "end": 351.55, "word": " first", "probability": 0.76123046875}, {"start": 351.55, "end": 351.73, "word": " part", "probability": 0.6513671875}, {"start": 351.73, "end": 352.19, "word": " is", "probability": 0.66796875}, {"start": 352.19, "end": 352.57, "word": " class", "probability": 0.227294921875}, {"start": 352.57, "end": 352.57, "word": " name.", "probability": 0.8642578125}], "temperature": 1.0}, {"id": 16, "seek": 37988, "start": 354.2, "end": 379.88, "text": " In the second part, we put the attributes in this way, each attribute and name, or type, pardon me, okay? And sometimes, these are additional details, I might need to show them or not, depending on the application type, which is the accessibility or scope of the attributes, okay? 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names of the operations Let's look at this example because it also represents a class It's not necessary to show all the parts. Sometimes it's more meaningful to show the relations between classes", "tokens": [5289, 613, 366, 264, 5288, 295, 264, 7705, 961, 311, 574, 412, 341, 1365, 570, 309, 611, 8855, 257, 1508, 467, 311, 406, 4818, 281, 855, 439, 264, 3166, 13, 4803, 309, 311, 544, 10995, 281, 855, 264, 2299, 1296, 5359], "avg_logprob": -0.5342262046677726, "compression_ratio": 1.4557823129251701, "no_speech_prob": 6.556510925292969e-07, "words": [{"start": 382.08, "end": 382.56, "word": "And", "probability": 0.31005859375}, {"start": 382.56, "end": 382.74, "word": " these", "probability": 0.5830078125}, {"start": 382.74, "end": 382.94, "word": " are", "probability": 0.9150390625}, {"start": 382.94, "end": 383.02, "word": " the", "probability": 0.6279296875}, {"start": 383.02, "end": 383.24, "word": " names", "probability": 0.453857421875}, {"start": 383.24, "end": 384.02, "word": " of", "probability": 0.9404296875}, {"start": 384.02, "end": 384.06, "word": " the", "probability": 0.5009765625}, {"start": 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This is an attribute for the instructor, right or wrong? But this is from another class, okay? We say that this relationship between them is what? Association. 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Sometimes the relationship is exchangeable, what is exchangeable? 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also a relationship between them, why? through the numbers I know here the student has a list of what?", "tokens": [456, 307, 257, 1329, 295, 28367, 1854, 309, 293, 341, 307, 2710, 11, 257, 3107, 294, 257, 5454, 775, 406, 362, 472, 5027, 11, 415, 575, 544, 813, 472, 5027, 11, 544, 813, 472, 3983, 456, 307, 611, 257, 1329, 295, 28367, 570, 295, 341, 1365, 11, 286, 611, 362, 732, 5359, 11, 597, 366, 264, 3107, 293, 264, 1164, 293, 456, 307, 611, 257, 2480, 1296, 552, 11, 983, 30, 807, 264, 3547, 286, 458, 510, 264, 3107, 575, 257, 1329, 295, 437, 30], "avg_logprob": -0.48292150677636614, "compression_ratio": 1.8925233644859814, "no_speech_prob": 4.172325134277344e-07, "words": [{"start": 801.6700000000001, "end": 802.07, "word": " there", "probability": 0.062286376953125}, {"start": 802.07, "end": 802.17, "word": " is", "probability": 0.7236328125}, {"start": 802.17, "end": 802.47, "word": " a", "probability": 0.463623046875}, {"start": 802.47, "end": 803.85, "word": " list", 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"start": 827.19, "end": 847.87, "text": "Of course, and I'm telling you that this list must not decrease the number of courses in it from three and the opposite is that the course has a list of students and the number of students that will be in the course must not decrease from twelve, this is called multiplicity and this is optional, that is, you may not find it on the drawing, okay?", "tokens": [23919, 1164, 11, 293, 286, 478, 3585, 291, 300, 341, 1329, 1633, 406, 11514, 264, 1230, 295, 7712, 294, 309, 490, 1045, 293, 264, 6182, 307, 300, 264, 1164, 575, 257, 1329, 295, 1731, 293, 264, 1230, 295, 1731, 300, 486, 312, 294, 264, 1164, 1633, 406, 11514, 490, 14390, 11, 341, 307, 1219, 17596, 507, 293, 341, 307, 17312, 11, 300, 307, 11, 291, 815, 406, 915, 309, 322, 264, 6316, 11, 1392, 30], "avg_logprob": -0.4687499941179627, "compression_ratio": 1.7794871794871794, "no_speech_prob": 1.2516975402832031e-06, "words": [{"start": 827.19, "end": 827.41, "word": "Of", "probability": 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Sometimes you find a relationship like this, guys Okay? You can find for example the class employee, the designer, okay? And he made you an agreement like this Okay? What does this mean? I understand that the class employee has inside him ... No, I didn't say list, how did you know it's a list?", "tokens": [1033, 11, 321, 366, 920, 1364, 294, 604, 733, 295, 2480, 11, 14598, 11, 1392, 30, 4803, 291, 915, 257, 2480, 411, 341, 11, 1074, 1033, 30, 509, 393, 915, 337, 1365, 264, 1508, 10738, 11, 264, 11795, 11, 1392, 30, 400, 415, 1027, 291, 364, 8106, 411, 341, 1033, 30, 708, 775, 341, 914, 30, 286, 1223, 300, 264, 1508, 10738, 575, 1854, 796, 1097, 883, 11, 286, 994, 380, 584, 1329, 11, 577, 630, 291, 458, 309, 311, 257, 1329, 30], "avg_logprob": -0.49181546661115827, "compression_ratio": 1.6343612334801763, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 911.99, "end": 912.25, "word": " Okay,", "probability": 0.1761474609375}, {"start": 912.29, "end": 912.59, "word": " we", "probability": 0.5078125}, {"start": 912.59, "end": 912.59, "word": " are", "probability": 0.62060546875}, {"start": 912.59, "end": 912.59, "word": " still", "probability": 0.826171875}, {"start": 912.59, "end": 913.41, "word": " working", 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But what I understand is that the employee has a reference to the employee, also from the type of employee. For example, this is the class employee. This is how you imagine the code. If you open it, you will find here for example employee. E for example.", "tokens": [2278, 17596, 507, 307, 437, 5112, 291, 498, 309, 307, 257, 1329, 420, 406, 13, 583, 437, 286, 1223, 307, 300, 264, 10738, 575, 257, 6408, 281, 264, 10738, 11, 611, 490, 264, 2010, 295, 10738, 13, 1171, 1365, 11, 341, 307, 264, 1508, 10738, 13, 639, 307, 577, 291, 3811, 264, 3089, 13, 759, 291, 1269, 309, 11, 291, 486, 915, 510, 337, 1365, 10738, 13, 462, 337, 1365, 13], "avg_logprob": -0.5099826281269392, "compression_ratio": 1.7486033519553073, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 939.9799999999999, "end": 940.42, "word": "The", "probability": 0.1649169921875}, {"start": 940.42, "end": 940.86, "word": " multiplicity", "probability": 0.915771484375}, {"start": 940.86, "end": 940.98, "word": " is", "probability": 0.456298828125}, {"start": 940.98, "end": 941.04, "word": " what", "probability": 0.76220703125}, {"start": 941.04, "end": 941.24, "word": " tells", "probability": 0.477783203125}, {"start": 941.24, "end": 941.4, "word": " 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Where did this happen to us? For example, an employee with a manager Yes, exactly. For example, it could be a class employee. Who is his manager? What kind of manager is he? Employee Another example here, the course has prerequisites in it", "tokens": [400, 436, 486, 1029, 11, 983, 630, 264, 1508, 764, 6565, 490, 1071, 1508, 30, 2305, 630, 341, 1051, 281, 505, 30, 1171, 1365, 11, 364, 10738, 365, 257, 6598, 1079, 11, 2293, 13, 1171, 1365, 11, 309, 727, 312, 257, 1508, 10738, 13, 2102, 307, 702, 6598, 30, 708, 733, 295, 6598, 307, 415, 30, 26878, 1653, 3996, 1365, 510, 11, 264, 1164, 575, 38333, 15398, 3324, 294, 309], "avg_logprob": -0.5933098641919418, "compression_ratio": 1.6524064171122994, "no_speech_prob": 0.0, "words": [{"start": 962.55, "end": 962.75, "word": " And", "probability": 0.08184814453125}, {"start": 962.75, "end": 962.89, "word": " they", "probability": 0.27001953125}, {"start": 962.89, "end": 962.89, "word": " will", "probability": 0.310791015625}, {"start": 962.89, "end": 963.03, "word": " ask,", "probability": 0.5263671875}, {"start": 963.13, "end": 963.41, "word": " why", "probability": 0.56005859375}, {"start": 963.41, "end": 963.77, 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This is the class course. It has a list of course. What are the requirements of the course? What are the requirements of the course? In the data structure, when you create a linked list or tree, the node itself has children and parent. The parent node and the children are also nodes. This is the relationship between the class and the child.", "tokens": [2278, 7728, 295, 264, 1164, 13, 639, 307, 264, 1508, 1164, 13, 467, 575, 257, 1329, 295, 1164, 13, 708, 366, 264, 7728, 295, 264, 1164, 30, 708, 366, 264, 7728, 295, 264, 1164, 30, 682, 264, 1412, 3877, 11, 562, 291, 1884, 257, 9408, 1329, 420, 4230, 11, 264, 9984, 2564, 575, 2227, 293, 2596, 13, 440, 2596, 9984, 293, 264, 2227, 366, 611, 13891, 13, 639, 307, 264, 2480, 1296, 264, 1508, 293, 264, 1440, 13], "avg_logprob": -0.5304588833941689, "compression_ratio": 2.0437158469945356, "no_speech_prob": 1.1920928955078125e-06, "words": [{"start": 991.08, "end": 991.28, "word": "The", "probability": 0.132080078125}, {"start": 991.28, "end": 991.56, "word": " requirements", "probability": 0.4521484375}, {"start": 991.56, "end": 991.82, "word": " of", "probability": 0.85302734375}, {"start": 991.82, "end": 991.9, "word": " the", "probability": 0.7734375}, {"start": 991.9, "end": 992.16, "word": " course.", "probability": 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transmission and there is an arrow like this and an arrow like this, right? there are objects of different sizes, okay? regardless of the number of objects, 3 or 4, this is related to what?", "tokens": [341, 307, 264, 2848, 293, 510, 307, 1071, 1508, 309, 307, 1219, 11574, 293, 456, 307, 364, 11610, 411, 341, 293, 364, 11610, 411, 341, 11, 558, 30, 456, 366, 6565, 295, 819, 11602, 11, 1392, 30, 10060, 295, 264, 1230, 295, 6565, 11, 805, 420, 1017, 11, 341, 307, 4077, 281, 437, 30], "avg_logprob": -0.7460227489471436, "compression_ratio": 1.6103896103896105, "no_speech_prob": 1.7881393432617188e-07, "words": [{"start": 1099.73, "end": 1100.01, "word": " this", "probability": 0.20654296875}, {"start": 1100.01, "end": 1100.03, "word": " is", "probability": 0.8583984375}, {"start": 1100.03, "end": 1100.15, "word": " the", "probability": 0.2076416015625}, {"start": 1100.15, "end": 1100.51, "word": " engine", "probability": 0.89892578125}, {"start": 1100.51, "end": 1102.39, "word": " and", 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Aggregation says that these objects were created here or they came from outside What does it mean that they came from outside? It means that these engines and transmissions were created from the main and passed to the car through the constructor or set method", "tokens": [10884, 3276, 399, 11, 300, 341, 954, 307, 1228, 364, 2657, 490, 264, 2848, 293, 300, 954, 307, 1228, 364, 2657, 490, 264, 11574, 3477, 11, 437, 307, 264, 9721, 1296, 16743, 399, 293, 16743, 399, 30, 41512, 20167, 1619, 300, 613, 6565, 645, 2942, 510, 420, 436, 1361, 490, 2380, 708, 775, 309, 914, 300, 436, 1361, 490, 2380, 30, 467, 1355, 300, 613, 12982, 293, 7715, 7922, 645, 2942, 490, 264, 2135, 293, 4678, 281, 264, 1032, 807, 264, 47479, 420, 992, 3170], "avg_logprob": -0.5505087451879368, "compression_ratio": 2.050925925925926, "no_speech_prob": 1.1622905731201172e-05, "words": [{"start": 1122.75, "end": 1123.27, "word": "Association,", "probability": 0.6802978515625}, {"start": 1123.41, "end": 1123.83, "word": " that", "probability": 0.1492919921875}, {"start": 1123.83, "end": 1124.13, "word": " this", "probability": 0.3828125}, 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For example, I came here. Look with me. What are the values of these references so far? None. Right or wrong? Because what is this? This is a constructor. A constructor is something that takes an object from the engine and an object from the transmission. 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So, was the engine and the transmission built inside the car or built outside? And they were trained to... Yes, they were built outside and they were trained. In this case, we say that the car is only for assembly. Okay? 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So how will this code work? I will create an engine in the main. E is equal to new engine. Right? This is in the main. And I will create a transmission. T is equal to new transmission. And then I will create a car. 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This is the car, this is the engine, and this is the transmission And the relationship between them is an association But there is something that remains optional You can show it sometimes, sometimes you can not show it It is this specific thing, you see it? A specific vacuum This is what you understand from it That it is an association relationship The car uses the engine and the transmission But these engines and transmissions were not built inside the car How did you understand this?", "tokens": [1436, 341, 2480, 307, 10379, 382, 10002, 639, 307, 264, 1032, 11, 341, 307, 264, 2848, 11, 293, 341, 307, 264, 11574, 400, 264, 2480, 1296, 552, 307, 364, 14598, 583, 456, 307, 746, 300, 7023, 17312, 509, 393, 855, 309, 2171, 11, 2171, 291, 393, 406, 855, 309, 467, 307, 341, 2685, 551, 11, 291, 536, 309, 30, 316, 2685, 14224, 639, 307, 437, 291, 1223, 490, 309, 663, 309, 307, 364, 14598, 2480, 440, 1032, 4960, 264, 2848, 293, 264, 11574, 583, 613, 12982, 293, 7715, 7922, 645, 406, 3094, 1854, 264, 1032, 1012, 630, 291, 1223, 341, 30], "avg_logprob": -0.5162377480198356, "compression_ratio": 2.0763358778625953, "no_speech_prob": 5.960464477539062e-07, "words": [{"start": 1268.05, "end": 1268.35, "word": " Because", "probability": 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Now, the second type, which is the relationship of composition Which is what? What did I do? Same class, same example Car uses an object from engine and transmission, which is the relationship of association But these two, I didn't go through them in the constructor, I went, what did I do here? New This became composition, I mean, did the car come from .. what is composition? Composition, ok?", "tokens": [3358, 257, 1629, 2480, 11, 3133, 1074, 30, 823, 11, 264, 1150, 2010, 11, 597, 307, 264, 2480, 295, 12686, 3013, 307, 437, 30, 708, 630, 286, 360, 30, 10635, 1508, 11, 912, 1365, 2741, 4960, 364, 2657, 490, 2848, 293, 11574, 11, 597, 307, 264, 2480, 295, 14598, 583, 613, 732, 11, 286, 994, 380, 352, 807, 552, 294, 264, 47479, 11, 286, 1437, 11, 437, 630, 286, 360, 510, 30, 1873, 639, 3062, 12686, 11, 286, 914, 11, 630, 264, 1032, 808, 490, 4386, 437, 307, 12686, 30, 6620, 5830, 11, 3133, 30], "avg_logprob": -0.5097656386593977, "compression_ratio": 1.757085020242915, "no_speech_prob": 7.510185241699219e-06, "words": [{"start": 1297.7, "end": 1297.94, "word": " From", "probability": 0.1573486328125}, {"start": 1297.94, "end": 1298.02, "word": " a", "probability": 0.634765625}, {"start": 1298.02, "end": 1298.62, "word": " certain", "probability": 0.286376953125}, {"start": 1298.62, "end": 1298.62, "word": " relationship,", "probability": 0.5546875}, {"start": 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134373, "start": 1327.81, "end": 1343.73, "text": "It means that if the car dies, they die with it. They live and die as a whole. It is an association, but the objects that I use were created within the class itself.", "tokens": [3522, 1355, 300, 498, 264, 1032, 2714, 11, 436, 978, 365, 309, 13, 814, 1621, 293, 978, 382, 257, 1379, 13, 467, 307, 364, 14598, 11, 457, 264, 6565, 300, 286, 764, 645, 2942, 1951, 264, 1508, 2564, 13], "avg_logprob": -0.5359374716877937, "compression_ratio": 1.375, "no_speech_prob": 0.0, "words": [{"start": 1327.81, "end": 1327.99, "word": "It", "probability": 0.387451171875}, {"start": 1327.99, "end": 1328.13, "word": " means", "probability": 0.8818359375}, {"start": 1328.13, "end": 1328.29, "word": " that", "probability": 0.471923828125}, {"start": 1328.29, "end": 1328.37, "word": " if", "probability": 0.87451171875}, {"start": 1328.37, "end": 1328.83, "word": " the", "probability": 0.658203125}, {"start": 1328.83, "end": 1329.11, "word": " car", "probability": 0.77587890625}, {"start": 1329.11, "end": 1329.13, "word": " dies,", "probability": 0.1170654296875}, {"start": 1329.61, "end": 1330.51, "word": " they", "probability": 0.27490234375}, {"start": 1330.51, "end": 1330.51, "word": " die", "probability": 0.468994140625}, {"start": 1330.51, "end": 1331.23, "word": " with", "probability": 0.431396484375}, {"start": 1331.23, "end": 1331.49, "word": " it.", "probability": 0.8232421875}, {"start": 1331.81, "end": 1332.01, "word": " They", "probability": 0.2763671875}, {"start": 1332.01, "end": 1332.79, "word": " live", "probability": 0.89990234375}, {"start": 1332.79, "end": 1333.01, "word": " and", "probability": 0.93994140625}, {"start": 1333.01, "end": 1333.19, "word": " die", "probability": 0.900390625}, {"start": 1333.19, "end": 1333.35, "word": " as", "probability": 0.56005859375}, {"start": 1333.35, "end": 1333.47, "word": " a", "probability": 0.9482421875}, {"start": 1333.47, "end": 1333.65, "word": " whole.", "probability": 0.896484375}, {"start": 1335.89, "end": 1336.01, "word": " It", "probability": 0.43115234375}, {"start": 1336.01, "end": 1336.05, "word": " is", "probability": 0.5126953125}, {"start": 1336.05, "end": 1337.17, "word": " an", "probability": 0.67578125}, {"start": 1337.17, "end": 1337.71, "word": " association,", "probability": 0.92529296875}, {"start": 1337.91, "end": 1338.13, "word": " but", "probability": 0.8056640625}, {"start": 1338.13, "end": 1339.05, "word": " the", "probability": 0.79541015625}, {"start": 1339.05, "end": 1340.19, "word": " objects", "probability": 0.451416015625}, {"start": 1340.19, "end": 1340.45, "word": " that", "probability": 0.263671875}, {"start": 1340.45, "end": 1340.55, "word": " I", "probability": 0.86376953125}, {"start": 1340.55, "end": 1340.95, "word": " use", "probability": 0.69287109375}, {"start": 1340.95, "end": 1341.25, "word": " were", "probability": 0.37939453125}, {"start": 1341.25, "end": 1341.65, "word": " created", "probability": 0.457763671875}, {"start": 1341.65, "end": 1342.13, "word": " within", "probability": 0.43505859375}, {"start": 1342.13, "end": 1343.11, "word": " the", "probability": 0.83837890625}, {"start": 1343.11, "end": 1343.39, "word": " class", "probability": 0.87939453125}, {"start": 1343.39, "end": 1343.73, "word": " itself.", "probability": 0.456298828125}], "temperature": 1.0}, {"id": 55, "seek": 136803, "start": 1345.09, "end": 1368.03, "text": "Who is better, composition or aggregation? It depends on the application. But in general, we prefer aggregation. Why? Because it shows the meaning in the design patterns in front of us. And concepts like dependency, injection and others. How do we represent the relationship between composition and aggregation? It is the relationship of association. It is a straight line. But what does the determinant put? A dot.", "tokens": [10927, 307, 1101, 11, 12686, 420, 16743, 399, 30, 467, 5946, 322, 264, 3861, 13, 583, 294, 2674, 11, 321, 4382, 16743, 399, 13, 1545, 30, 1436, 309, 3110, 264, 3620, 294, 264, 1715, 8294, 294, 1868, 295, 505, 13, 400, 10392, 411, 33621, 11, 22873, 293, 2357, 13, 1012, 360, 321, 2906, 264, 2480, 1296, 12686, 293, 16743, 399, 30, 467, 307, 264, 2480, 295, 14598, 13, 467, 307, 257, 2997, 1622, 13, 583, 437, 775, 264, 41296, 829, 30, 316, 5893, 13], "avg_logprob": -0.584191156836117, "compression_ratio": 1.7364016736401673, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1345.09, "end": 1345.51, "word": "Who", "probability": 0.2313232421875}, {"start": 1345.51, "end": 1345.59, "word": " is", "probability": 0.51220703125}, {"start": 1345.59, "end": 1345.79, "word": " better,", "probability": 0.72265625}, {"start": 1345.87, "end": 1346.41, "word": " composition", "probability": 0.318115234375}, {"start": 1346.41, "end": 1346.79, "word": " or", "probability": 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"end": 1367.41, "word": " put?", "probability": 0.331298828125}, {"start": 1367.81, "end": 1368.03, "word": " A", "probability": 0.356201171875}, {"start": 1368.03, "end": 1368.03, "word": " dot.", "probability": 0.201171875}], "temperature": 1.0}, {"id": 56, "seek": 139751, "start": 1369.67, "end": 1397.51, "text": " So this way you understand that the car uses an object from engine and transmission and that these objects were built inside the car Did you get these things? Now this is another example about association Look at this example I have a class called patient record", "tokens": [407, 341, 636, 291, 1223, 300, 264, 1032, 4960, 364, 2657, 490, 2848, 293, 11574, 293, 300, 613, 6565, 645, 3094, 1854, 264, 1032, 2589, 291, 483, 613, 721, 30, 823, 341, 307, 1071, 1365, 466, 14598, 2053, 412, 341, 1365, 286, 362, 257, 1508, 1219, 4537, 2136], "avg_logprob": -0.6221300825780752, "compression_ratio": 1.5748502994011977, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1369.67, "end": 1370.23, "word": " So", "probability": 0.1524658203125}, {"start": 1370.23, "end": 1370.43, "word": " this", "probability": 0.295166015625}, {"start": 1370.43, "end": 1370.43, "word": " way", "probability": 0.572265625}, {"start": 1370.43, "end": 1370.59, "word": " you", "probability": 0.82080078125}, {"start": 1370.59, "end": 1370.95, "word": " understand", "probability": 0.28076171875}, {"start": 1370.95, "end": 1371.49, "word": " that", "probability": 0.82373046875}, {"start": 1371.49, "end": 1371.65, "word": " the", "probability": 0.35595703125}, {"start": 1371.65, "end": 1371.75, "word": " car", "probability": 0.81982421875}, {"start": 1371.75, "end": 1372.15, "word": " uses", "probability": 0.6416015625}, {"start": 1372.15, "end": 1372.41, "word": " an", "probability": 0.40283203125}, {"start": 1372.41, "end": 1372.59, "word": " object", "probability": 0.880859375}, {"start": 1372.59, "end": 1372.79, "word": " from", "probability": 0.611328125}, {"start": 1372.79, "end": 1373.11, "word": " engine", "probability": 0.46337890625}, {"start": 1373.11, "end": 1373.25, "word": " and", "probability": 0.78759765625}, {"start": 1373.25, "end": 1373.75, "word": " transmission", "probability": 0.943359375}, {"start": 1373.75, "end": 1374.03, "word": " and", "probability": 0.55419921875}, {"start": 1374.03, "end": 1374.21, "word": " that", "probability": 0.35791015625}, {"start": 1374.21, "end": 1374.39, "word": " these", "probability": 0.364501953125}, {"start": 1374.39, "end": 1374.53, "word": " objects", "probability": 0.58740234375}, {"start": 1374.53, "end": 1374.65, "word": " were", "probability": 0.64208984375}, {"start": 1374.65, "end": 1374.97, "word": " built", "probability": 0.31396484375}, {"start": 1374.97, "end": 1375.39, "word": " inside", "probability": 0.63427734375}, {"start": 1375.39, "end": 1376.17, "word": " the", "probability": 0.8310546875}, {"start": 1376.17, "end": 1376.41, "word": " car", "probability": 0.91357421875}, {"start": 1376.41, "end": 1377.27, "word": " Did", "probability": 0.280029296875}, {"start": 1377.27, "end": 1377.33, "word": " you", "probability": 0.9140625}, {"start": 1377.33, "end": 1377.53, "word": " get", "probability": 0.1973876953125}, {"start": 1377.53, "end": 1377.77, "word": " these", "probability": 0.423095703125}, {"start": 1377.77, "end": 1378.05, "word": " things?", "probability": 0.46826171875}, {"start": 1383.31, "end": 1383.87, "word": " Now", "probability": 0.2403564453125}, {"start": 1383.87, "end": 1387.73, "word": " this", "probability": 0.71826171875}, {"start": 1387.73, "end": 1387.77, "word": " is", "probability": 0.89794921875}, {"start": 1387.77, "end": 1387.79, "word": " another", "probability": 0.7939453125}, {"start": 1387.79, "end": 1388.15, "word": " example", "probability": 0.95654296875}, {"start": 1388.15, "end": 1389.17, "word": " about", "probability": 0.1895751953125}, {"start": 1389.17, "end": 1391.27, "word": " association", "probability": 0.583984375}, {"start": 1391.27, "end": 1392.51, "word": " Look", "probability": 0.334228515625}, {"start": 1392.51, "end": 1392.83, "word": " at", "probability": 0.921875}, {"start": 1392.83, "end": 1393.13, "word": " this", "probability": 0.4775390625}, {"start": 1393.13, "end": 1395.57, "word": " example", "probability": 0.91064453125}, {"start": 1395.57, "end": 1396.03, "word": " I", "probability": 0.296630859375}, {"start": 1396.03, "end": 1396.17, "word": " have", "probability": 0.9345703125}, {"start": 1396.17, "end": 1396.27, "word": " a", "probability": 0.64013671875}, {"start": 1396.27, "end": 1396.59, "word": " class", "probability": 0.9658203125}, {"start": 1396.59, "end": 1396.75, "word": " called", "probability": 0.227294921875}, {"start": 1396.75, "end": 1396.99, "word": " patient", "probability": 0.7001953125}, {"start": 1396.99, "end": 1397.51, "word": " record", "probability": 0.8984375}], "temperature": 1.0}, {"id": 57, "seek": 141512, "start": 1398.56, "end": 1415.12, "text": "What does it use inside? An object called patient and a list of what? Consultation, okay? What are these? What is this? Constructor, I give him a patient. Because there are relationships, associations, from whom to whom?", "tokens": [3748, 775, 309, 764, 1854, 30, 1107, 2657, 1219, 4537, 293, 257, 1329, 295, 437, 30, 40057, 399, 11, 1392, 30, 708, 366, 613, 30, 708, 307, 341, 30, 8574, 14535, 11, 286, 976, 796, 257, 1947, 1053, 83, 13, 1436, 456, 366, 6159, 11, 26597, 11, 490, 7101, 281, 7101, 30], "avg_logprob": -0.633844330625714, "compression_ratio": 1.4285714285714286, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 1398.56, "end": 1398.82, "word": "What", "probability": 0.30419921875}, {"start": 1398.82, "end": 1398.9, "word": " does", "probability": 0.6611328125}, {"start": 1398.9, "end": 1398.96, "word": " it", "probability": 0.52880859375}, {"start": 1398.96, "end": 1399.26, "word": " use", "probability": 0.79345703125}, {"start": 1399.26, "end": 1399.58, "word": " inside?", "probability": 0.57666015625}, {"start": 1400.26, "end": 1400.46, "word": " An", "probability": 0.0985107421875}, {"start": 1400.46, "end": 1400.66, "word": " object", "probability": 0.96435546875}, {"start": 1400.66, "end": 1400.92, "word": " called", "probability": 0.33203125}, {"start": 1400.92, "end": 1401.48, "word": " patient", "probability": 0.71875}, {"start": 1401.48, "end": 1402.12, "word": " and", "probability": 0.65380859375}, {"start": 1402.12, "end": 1402.24, "word": " a", "probability": 0.391357421875}, {"start": 1402.24, "end": 1402.44, "word": " list", "probability": 0.9091796875}, {"start": 1402.44, "end": 1402.64, "word": " of", "probability": 0.92236328125}, {"start": 1402.64, "end": 1402.92, "word": " what?", "probability": 0.56689453125}, {"start": 1405.74, "end": 1406.22, "word": " Consultation,", "probability": 0.7900390625}, {"start": 1406.52, "end": 1406.9, "word": " okay?", "probability": 0.24365234375}, {"start": 1407.1, "end": 1407.1, "word": " What", "probability": 0.450439453125}, {"start": 1407.1, "end": 1408.02, "word": " are", "probability": 0.4228515625}, {"start": 1408.02, "end": 1408.36, "word": " these?", "probability": 0.7822265625}, {"start": 1408.7, "end": 1408.74, "word": " What", "probability": 0.62109375}, {"start": 1408.74, "end": 1408.74, "word": " is", "probability": 0.5234375}, {"start": 1408.74, "end": 1408.94, "word": " this?", "probability": 0.9013671875}, {"start": 1409.86, "end": 1410.34, "word": " Constructor,", "probability": 0.836181640625}, {"start": 1410.44, "end": 1410.5, "word": " I", "probability": 0.1854248046875}, {"start": 1410.5, "end": 1410.7, "word": " give", "probability": 0.314453125}, {"start": 1410.7, "end": 1410.94, "word": " him", "probability": 0.377685546875}, {"start": 1410.94, "end": 1411.22, "word": " a", "probability": 0.2169189453125}, {"start": 1411.22, "end": 1411.76, "word": " patient.", "probability": 0.665283203125}, {"start": 1411.94, "end": 1412.16, "word": " Because", "probability": 0.4248046875}, {"start": 1412.16, "end": 1412.66, "word": " there", "probability": 0.77099609375}, {"start": 1412.66, "end": 1413.08, "word": " are", "probability": 0.81201171875}, {"start": 1413.08, "end": 1413.08, "word": " relationships,", "probability": 0.248046875}, {"start": 1413.28, "end": 1414.42, "word": " associations,", "probability": 0.79296875}, {"start": 1414.58, "end": 1414.72, "word": " from", "probability": 0.56591796875}, {"start": 1414.72, "end": 1414.86, "word": " whom", "probability": 0.72314453125}, {"start": 1414.86, "end": 1414.96, "word": " to", "probability": 0.428466796875}, {"start": 1414.96, "end": 1415.12, "word": " whom?", "probability": 0.97216796875}], "temperature": 1.0}, {"id": 58, "seek": 143740, "start": 1417.46, "end": 1437.4, "text": "The patient record and the patient is related to association, right? And also between the patient record and consultation, this is related to association. Okay, is it aggregation or composition? Aggregation, because it doesn't matter. Is there a U here? No, because this is what represents the relationship, I make it like this.", "tokens": [2278, 4537, 2136, 293, 264, 4537, 307, 4077, 281, 14598, 11, 558, 30, 400, 611, 1296, 264, 4537, 2136, 293, 20932, 11, 341, 307, 4077, 281, 14598, 13, 1033, 11, 307, 309, 16743, 399, 420, 12686, 30, 41512, 20167, 11, 570, 309, 1177, 380, 1871, 13, 1119, 456, 257, 624, 510, 30, 883, 11, 570, 341, 307, 437, 8855, 264, 2480, 11, 286, 652, 309, 411, 341, 13], "avg_logprob": -0.46354167184967926, "compression_ratio": 1.7826086956521738, "no_speech_prob": 1.9073486328125e-06, "words": [{"start": 1417.46, "end": 1417.72, "word": "The", "probability": 0.3251953125}, {"start": 1417.72, "end": 1418.0, "word": " patient", "probability": 0.8701171875}, {"start": 1418.0, "end": 1418.4, "word": " record", "probability": 0.87939453125}, {"start": 1418.4, "end": 1418.56, "word": " and", "probability": 0.57861328125}, {"start": 1418.56, "end": 1418.66, "word": " the", "probability": 0.475341796875}, {"start": 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To the patient record The idea is that you want to see the drawing and you want to imagine the code directly The second example is part of GUI Class window has a scroll bar, title bar and a list of menus", "tokens": [29331, 1196, 2136, 4960, 257, 1329, 295, 7189, 763, 293, 264, 20932, 575, 257, 6408, 281, 7101, 30, 1407, 264, 4537, 2136, 440, 1558, 307, 300, 291, 528, 281, 536, 264, 6316, 293, 291, 528, 281, 3811, 264, 3089, 3838, 440, 1150, 1365, 307, 644, 295, 17917, 40, 9471, 4910, 575, 257, 11369, 2159, 11, 4876, 2159, 293, 257, 1329, 295, 30347], "avg_logprob": -0.52777780237652, "compression_ratio": 1.646067415730337, "no_speech_prob": 1.3113021850585938e-06, "words": [{"start": 1463.21, "end": 1463.77, "word": "Patient", "probability": 0.492095947265625}, {"start": 1463.77, "end": 1463.93, "word": " record", "probability": 0.54296875}, {"start": 1463.93, "end": 1464.21, "word": " uses", "probability": 0.429443359375}, {"start": 1464.21, "end": 1464.41, "word": " a", 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Constructor. He created all of these. This is also related to association. The window has a relation with three classes, including the school bar, the title bar and the menu. Okay? But what is the relation? Composition. 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composition Yes, it is supposed that as long as there is an arrow, he did not put the number H here Okay, we finished the first relationship, which is the relationship of what? 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It is an object that uses another object from another class, but on the level of the method, not on the level of the attributes of the class itself, okay? So here, for example, you understand that you have a class called Course Schedule", "tokens": [21831, 456, 307, 257, 2531, 9721, 1219, 4056, 521, 3020, 8738, 399, 400, 309, 307, 588, 2099, 11, 1392, 30, 467, 307, 364, 2657, 300, 4960, 1071, 2657, 490, 1071, 1508, 11, 457, 322, 264, 1496, 295, 264, 3170, 11, 406, 322, 264, 1496, 295, 264, 17212, 295, 264, 1508, 2564, 11, 1392, 30, 407, 510, 11, 337, 1365, 11, 291, 1223, 300, 291, 362, 257, 1508, 1219, 27327, 44926, 2271], "avg_logprob": -0.504774298104975, "compression_ratio": 1.676923076923077, "no_speech_prob": 0.0, "words": [{"start": 1536.75, "end": 1537.05, "word": "Because", "probability": 0.231201171875}, {"start": 1537.05, "end": 1537.25, "word": " there", "probability": 0.515625}, {"start": 1537.25, "end": 1537.25, "word": " is", "probability": 0.6962890625}, {"start": 1537.25, "end": 1537.33, "word": " a", "probability": 0.72802734375}, {"start": 1537.33, "end": 1537.79, "word": " similar", "probability": 0.576171875}, 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It means that the course schedule uses an object from the course, but on the level of a method Look, there is a method called add What does it take? Course And remove? 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The course only sees what?", "tokens": [3522, 1355, 300, 341, 2480, 575, 281, 312, 1850, 13, 583, 341, 1164, 775, 406, 458, 466, 264, 1508, 1496, 13, 467, 3255, 466, 264, 7150, 1496, 13, 407, 321, 2906, 309, 365, 257, 5463, 11610, 411, 341, 13, 13746, 286, 458, 577, 281, 3242, 264, 3170, 420, 286, 1466, 309, 337, 264, 3170, 13, 467, 1355, 300, 456, 307, 1825, 3654, 264, 17212, 295, 264, 1164, 7567, 300, 575, 1340, 281, 360, 365, 264, 1164, 13, 440, 1164, 787, 8194, 437, 30], "avg_logprob": -0.5777529967682702, "compression_ratio": 1.81651376146789, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 1588.51, "end": 1588.69, "word": "It", "probability": 0.258056640625}, {"start": 1588.69, "end": 1588.81, "word": " means", "probability": 0.6943359375}, {"start": 1588.81, "end": 1589.15, "word": " that", "probability": 0.6044921875}, {"start": 1589.15, "end": 1589.51, "word": " this", "probability": 0.326904296875}, {"start": 1589.51, "end": 1589.81, "word": " relationship", 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The third type of relationships is the relationship of generalization, which refers to the relationship of inheritance. For example, when you do extend to another class, which in Java is called extend, but in Kotlin or in software it is not called extend, it is put twice. That is why it is called generalization. What is generalization? 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With an arrow as well, but do you see how the arrow ends? The association ends like this. This is an association. Dependency is excessive. Generalization is inherited or extended. What does this mean? The one who is inherited is the super class.", "tokens": [1012, 360, 321, 2906, 309, 30, 2022, 364, 11610, 382, 731, 11, 457, 360, 291, 536, 577, 264, 11610, 5314, 30, 440, 14598, 5314, 411, 341, 13, 639, 307, 364, 14598, 13, 4056, 521, 3020, 307, 22704, 13, 6996, 2144, 307, 27091, 420, 10913, 13, 708, 775, 341, 914, 30, 440, 472, 567, 307, 27091, 307, 264, 1687, 1508, 13], "avg_logprob": -0.6178278805779629, "compression_ratio": 1.569767441860465, "no_speech_prob": 1.3113021850585938e-06, "words": [{"start": 1672.88, "end": 1673.14, "word": " How", "probability": 0.236572265625}, {"start": 1673.14, "end": 1673.22, "word": " do", "probability": 0.389404296875}, {"start": 1673.22, "end": 1673.26, "word": " we", "probability": 0.469970703125}, {"start": 1673.26, "end": 1673.54, "word": " represent", "probability": 0.63330078125}, {"start": 1673.54, "end": 1673.78, "word": " it?", "probability": 0.69873046875}, {"start": 1674.52, "end": 1675.04, "word": " With", "probability": 0.32568359375}, {"start": 1675.04, "end": 1675.26, "word": " an", "probability": 0.266357421875}, {"start": 1675.26, "end": 1675.28, "word": " arrow", "probability": 0.7763671875}, {"start": 1675.28, "end": 1675.54, "word": " as", "probability": 0.1737060546875}, {"start": 1675.54, "end": 1675.64, "word": " well,", "probability": 0.919921875}, {"start": 1676.0, "end": 1676.64, "word": " but", "probability": 0.75146484375}, {"start": 1676.64, "end": 1676.94, "word": " do", "probability": 0.2113037109375}, {"start": 1676.94, "end": 1677.12, "word": " you", "probability": 0.96630859375}, {"start": 1677.12, "end": 1677.28, "word": " see", "probability": 0.83642578125}, {"start": 1677.28, "end": 1677.6, "word": " how", "probability": 0.71728515625}, {"start": 1677.6, "end": 1677.88, "word": " the", "probability": 0.441650390625}, {"start": 1677.88, "end": 1677.88, "word": " arrow", "probability": 0.63623046875}, {"start": 1677.88, "end": 1678.3, "word": " ends?", "probability": 0.4326171875}, {"start": 1679.04, "end": 1679.72, "word": " The", "probability": 0.340087890625}, {"start": 1679.72, "end": 1680.4, "word": " association", "probability": 0.62158203125}, {"start": 1680.4, "end": 1681.8, "word": " ends", "probability": 0.76025390625}, {"start": 1681.8, "end": 1682.24, "word": " like", "probability": 0.55517578125}, {"start": 1682.24, "end": 1682.66, "word": " this.", "probability": 0.88916015625}, {"start": 1682.92, "end": 1683.04, "word": " This", "probability": 0.373046875}, {"start": 1683.04, "end": 1683.1, "word": " is", "probability": 0.93115234375}, {"start": 1683.1, "end": 1683.2, "word": " an", "probability": 0.4052734375}, {"start": 1683.2, "end": 1683.68, "word": " association.", "probability": 0.87353515625}, {"start": 1687.34, "end": 1688.02, "word": " Dependency", "probability": 0.7189127604166666}, {"start": 1688.02, "end": 1688.22, "word": " is", "probability": 0.6396484375}, {"start": 1688.22, "end": 1689.34, "word": " excessive.", "probability": 0.0628662109375}, {"start": 1690.92, "end": 1691.6, "word": " Generalization", "probability": 0.801025390625}, {"start": 1691.6, "end": 1691.84, "word": " is", "probability": 0.556640625}, {"start": 1691.84, "end": 1692.32, "word": " inherited", "probability": 0.697265625}, {"start": 1692.32, "end": 1692.52, "word": " or", "probability": 0.578125}, {"start": 1692.52, "end": 1693.18, "word": " extended.", "probability": 0.5625}, {"start": 1695.16, "end": 1695.2, "word": " What", "probability": 0.2156982421875}, {"start": 1695.2, "end": 1695.2, "word": " does", "probability": 0.78271484375}, {"start": 1695.2, "end": 1696.3, "word": " this", "probability": 0.64208984375}, {"start": 1696.3, "end": 1696.72, "word": " mean?", "probability": 0.94287109375}, {"start": 1697.14, "end": 1697.7, "word": " The", "probability": 0.3818359375}, {"start": 1697.7, "end": 1697.7, "word": " one", "probability": 0.53955078125}, {"start": 1697.7, "end": 1697.72, "word": " who", "probability": 0.482177734375}, {"start": 1697.72, "end": 1698.0, "word": " is", "probability": 0.338134765625}, {"start": 1698.0, "end": 1698.08, "word": " inherited", "probability": 0.66650390625}, {"start": 1698.08, "end": 1698.72, "word": " is", "probability": 0.451904296875}, {"start": 1698.72, "end": 1698.88, "word": " the", "probability": 0.66162109375}, {"start": 1698.88, "end": 1699.06, "word": " super", "probability": 0.8349609375}, {"start": 1699.06, "end": 1699.48, "word": " class.", "probability": 0.495849609375}], "temperature": 1.0}, {"id": 69, "seek": 171950, "start": 1701.94, "end": 1719.5, "text": " who thinks that sometimes there are people who get confused. Okay? Because here the meaning is that the student extends the person. Okay? And its representation as a code is class student extends person. Okay? And when I see this relationship, I understand that this extends the class person.", "tokens": [567, 7309, 300, 2171, 456, 366, 561, 567, 483, 9019, 13, 1033, 30, 1436, 510, 264, 3620, 307, 300, 264, 3107, 26448, 264, 954, 13, 1033, 30, 400, 1080, 10290, 382, 257, 3089, 307, 1508, 3107, 26448, 954, 13, 1033, 30, 400, 562, 286, 536, 341, 2480, 11, 286, 1223, 300, 341, 26448, 264, 1508, 954, 13], "avg_logprob": -0.48383620638271857, "compression_ratio": 1.744047619047619, "no_speech_prob": 3.5762786865234375e-07, "words": [{"start": 1701.94, "end": 1702.26, "word": " who", "probability": 0.03924560546875}, {"start": 1702.26, "end": 1702.52, "word": " thinks", "probability": 0.25}, {"start": 1702.52, "end": 1702.8, "word": " that", "probability": 0.6806640625}, {"start": 1702.8, "end": 1703.16, "word": " sometimes", "probability": 0.845703125}, {"start": 1703.16, "end": 1703.4, "word": " there", "probability": 0.20703125}, {"start": 1703.4, "end": 1703.4, "word": " are", "probability": 0.8447265625}, {"start": 1703.4, "end": 1703.54, "word": " people", "probability": 0.79638671875}, {"start": 1703.54, "end": 1703.64, "word": " who", "probability": 0.7666015625}, {"start": 1703.64, "end": 1703.7, "word": " get", "probability": 0.275146484375}, {"start": 1703.7, "end": 1704.04, "word": " confused.", "probability": 0.92578125}, {"start": 1704.52, "end": 1704.72, "word": " Okay?", "probability": 0.135009765625}, {"start": 1704.98, "end": 1705.2, "word": " Because", "probability": 0.33251953125}, {"start": 1705.2, "end": 1705.4, "word": " here", "probability": 0.45361328125}, {"start": 1705.4, "end": 1705.48, "word": " the", "probability": 0.51513671875}, {"start": 1705.48, "end": 1705.66, "word": " meaning", "probability": 0.62060546875}, {"start": 1705.66, "end": 1705.78, "word": " is", "probability": 0.70361328125}, {"start": 1705.78, "end": 1705.84, "word": " that", "probability": 0.323974609375}, {"start": 1705.84, "end": 1705.9, "word": " the", "probability": 0.53662109375}, {"start": 1705.9, "end": 1706.2, "word": " student", "probability": 0.89794921875}, {"start": 1706.2, "end": 1707.0, "word": " extends", "probability": 0.85888671875}, {"start": 1707.0, "end": 1708.26, "word": " the", "probability": 0.85302734375}, {"start": 1708.26, "end": 1708.62, "word": " person.", "probability": 0.92724609375}, {"start": 1708.98, "end": 1709.3, "word": " Okay?", "probability": 0.66552734375}, {"start": 1709.38, "end": 1709.52, "word": " And", "probability": 0.85888671875}, {"start": 1709.52, "end": 1709.6, "word": " its", "probability": 0.373046875}, {"start": 1709.6, "end": 1709.84, "word": " representation", "probability": 0.68212890625}, {"start": 1709.84, "end": 1710.12, "word": " as", "probability": 0.685546875}, {"start": 1710.12, "end": 1710.22, "word": " a", "probability": 0.837890625}, {"start": 1710.22, "end": 1710.52, "word": " code", "probability": 0.931640625}, {"start": 1710.52, "end": 1710.76, "word": " is", "probability": 0.9130859375}, {"start": 1710.76, "end": 1712.08, "word": " class", "probability": 0.451416015625}, {"start": 1712.08, "end": 1712.58, "word": " student", "probability": 0.7900390625}, {"start": 1712.58, "end": 1713.38, "word": " extends", "probability": 0.89306640625}, {"start": 1713.38, "end": 1714.68, "word": " person.", "probability": 0.87158203125}, {"start": 1714.98, "end": 1715.32, "word": " Okay?", "probability": 0.7978515625}, {"start": 1715.4, "end": 1715.5, "word": " And", "probability": 0.424072265625}, {"start": 1715.5, "end": 1715.6, "word": " when", "probability": 0.6513671875}, {"start": 1715.6, "end": 1715.7, "word": " I", "probability": 0.9775390625}, {"start": 1715.7, "end": 1715.88, "word": " see", "probability": 0.79931640625}, {"start": 1715.88, "end": 1716.0, "word": " this", "probability": 0.88427734375}, {"start": 1716.0, "end": 1716.28, "word": " relationship,", "probability": 0.67919921875}, {"start": 1716.48, "end": 1716.54, "word": " I", "probability": 0.97412109375}, {"start": 1716.54, "end": 1716.7, "word": " understand", "probability": 0.67724609375}, {"start": 1716.7, "end": 1716.84, "word": " that", "probability": 0.931640625}, {"start": 1716.84, "end": 1717.0, "word": " this", "probability": 0.75146484375}, {"start": 1717.0, "end": 1717.56, "word": " extends", "probability": 0.50732421875}, {"start": 1717.56, "end": 1718.9, "word": " the", "probability": 0.5009765625}, {"start": 1718.9, "end": 1719.14, "word": " class", "probability": 0.95751953125}, {"start": 1719.14, "end": 1719.5, "word": " person.", "probability": 0.865234375}], "temperature": 1.0}, {"id": 70, "seek": 175300, "start": 1723.68, "end": 1753.0, "text": " This talks about inheritance, it says that the subclass inherits everything in the superclass. For example, this is an example, okay? This is similar to the drawing that I saw, okay? That I have a large superclass called doctor. I have subclasses hospital doctor and general practitioner, okay? And then this hospital doctor came with me, he is a superclass for whom? For consultant and team doctor. And who did the team doctor join? 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The name, the phone and the email You don't write them down here But we are doing inheritance because we don't write them down You write them down in the drawing Yes, I understood that they went down Of course, you won't see a drawing like this in Java Why? 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What is realization? When we say I will realize my dreams, what does it mean? This realization is related to the implementation of the interface.", "tokens": [2278, 1036, 2010, 295, 2480, 307, 25138, 13, 708, 307, 25138, 30, 1133, 321, 584, 286, 486, 4325, 452, 7505, 11, 437, 775, 309, 914, 30, 639, 25138, 307, 4077, 281, 264, 11420, 295, 264, 9226, 13], "avg_logprob": -0.4893092199375755, "compression_ratio": 1.5158730158730158, "no_speech_prob": 0.0, "words": [{"start": 1805.35, "end": 1805.63, "word": "The", "probability": 0.154541015625}, {"start": 1805.63, "end": 1805.83, "word": " last", "probability": 0.8017578125}, {"start": 1805.83, "end": 1806.05, "word": " type", "probability": 0.458251953125}, {"start": 1806.05, "end": 1806.19, "word": " of", "probability": 0.90576171875}, {"start": 1806.19, "end": 1806.53, "word": " relationship", "probability": 0.48681640625}, {"start": 1806.53, "end": 1806.79, "word": " is", "probability": 0.77197265625}, {"start": 1806.79, "end": 1807.61, "word": " realization.", "probability": 0.6826171875}, {"start": 1808.29, "end": 1808.89, "word": " What", "probability": 0.7099609375}, {"start": 1808.89, "end": 1808.99, "word": " is", "probability": 0.69921875}, {"start": 1808.99, "end": 1809.71, "word": " realization?", "probability": 0.435546875}, {"start": 1811.51, "end": 1811.93, "word": " When", "probability": 0.373046875}, {"start": 1811.93, "end": 1812.83, "word": " we", "probability": 0.251953125}, {"start": 1812.83, "end": 1812.95, "word": " say", "probability": 0.93701171875}, {"start": 1812.95, "end": 1814.01, "word": " I", "probability": 0.548828125}, {"start": 1814.01, "end": 1814.27, "word": " will", "probability": 0.83154296875}, {"start": 1814.27, "end": 1814.81, "word": " realize", "probability": 0.8837890625}, {"start": 1814.81, "end": 1815.01, "word": " my", "probability": 0.96240234375}, {"start": 1815.01, "end": 1815.35, "word": " dreams,", "probability": 0.85009765625}, {"start": 1815.47, "end": 1815.57, "word": " what", "probability": 0.552734375}, {"start": 1815.57, "end": 1815.73, "word": " does", "probability": 0.81787109375}, {"start": 1815.73, "end": 1815.73, "word": " it", "probability": 0.60205078125}, {"start": 1815.73, "end": 1815.81, "word": " mean?", "probability": 0.95947265625}, {"start": 1818.65, "end": 1819.31, "word": " This", "probability": 0.192626953125}, {"start": 1819.31, "end": 1819.79, "word": " realization", "probability": 0.853515625}, {"start": 1819.79, "end": 1820.01, "word": " is", "probability": 0.712890625}, {"start": 1820.01, "end": 1820.31, "word": " related", "probability": 0.26416015625}, {"start": 1820.31, "end": 1820.79, "word": " to", "probability": 0.8818359375}, {"start": 1820.79, "end": 1820.91, "word": " the", "probability": 0.5947265625}, {"start": 1820.91, "end": 1821.29, "word": " implementation", "probability": 0.417236328125}, {"start": 1821.29, "end": 1822.09, "word": " of", "probability": 0.82568359375}, {"start": 1822.09, "end": 1822.15, "word": " the", "probability": 0.68359375}, {"start": 1822.15, "end": 1822.71, "word": " interface.", "probability": 0.87939453125}], "temperature": 1.0}, {"id": 74, "seek": 184733, "start": 1823.53, "end": 1847.33, "text": "And why is it different from the generalization? The word generalization means that there was something that didn't exist and I created it again and again, I made it happen The generalization means that there was something that existed and I added something to it So the generalization is that you made a complete implementation", "tokens": [5289, 983, 307, 309, 819, 490, 264, 2674, 2144, 30, 440, 1349, 2674, 2144, 1355, 300, 456, 390, 746, 300, 994, 380, 2514, 293, 286, 2942, 309, 797, 293, 797, 11, 286, 1027, 309, 1051, 440, 2674, 2144, 1355, 300, 456, 390, 746, 300, 13135, 293, 286, 3869, 746, 281, 309, 407, 264, 2674, 2144, 307, 300, 291, 1027, 257, 3566, 11420], "avg_logprob": -0.5634920540310088, "compression_ratio": 1.9523809523809523, "no_speech_prob": 2.980232238769531e-07, "words": [{"start": 1823.53, "end": 1824.03, "word": "And", "probability": 0.11138916015625}, {"start": 1824.03, "end": 1824.19, "word": " why", "probability": 0.69580078125}, {"start": 1824.19, "end": 1824.55, "word": " is", "probability": 0.40966796875}, 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How do we represent this relation? It's like the relation of generalization, but its value is negated. 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An object can use another object only on the level of methods. This is the relationship between generalization and inheritance. This is the relationship between implementation and realization. Notice what is written here, interface.", "tokens": [5723, 307, 264, 2480, 1296, 14598, 293, 33621, 13, 1107, 2657, 393, 764, 1071, 2657, 787, 322, 264, 1496, 295, 7150, 13, 639, 307, 264, 2480, 1296, 2674, 2144, 293, 32122, 13, 639, 307, 264, 2480, 1296, 11420, 293, 25138, 13, 13428, 437, 307, 3720, 510, 11, 9226, 13], "avg_logprob": -0.5575000262260437, "compression_ratio": 1.8662420382165605, "no_speech_prob": 3.5762786865234375e-07, "words": [{"start": 1866.41, "end": 1867.03, "word": "This", "probability": 0.384521484375}, {"start": 1867.03, "end": 1867.13, "word": " is", "probability": 0.78271484375}, {"start": 1867.13, "end": 1867.17, "word": " the", "probability": 0.363037109375}, {"start": 1867.17, "end": 1867.45, "word": " relationship", "probability": 0.412353515625}, {"start": 1867.45, "end": 1867.97, "word": " between", "probability": 0.48876953125}, {"start": 1867.97, "end": 1868.95, "word": " association", "probability": 0.763671875}, {"start": 1868.95, "end": 1869.63, 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I'm telling you this is offensive, okay? The offender, the one who made the mistake, okay? The one who committed the offence, okay? This has a name and what does it have? It has an ID. Because there is a relationship between the traffic report and the offender. What is this relationship? Association. What do you understand from the attributes of the traffic report? No, not a list. 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Okay, okay. This is an association relationship. The traffic report has a reference to whom? No, Offender. And notice that it is not necessary that it is written in the attributes. It is not written here. Okay? But I understood it from where? From the relationship. Of course, the report that I do, Mr. Kharif, does not include the name of the offender's data. Okay? Now,", "tokens": [883, 11, 6318, 3216, 13, 1033, 11, 1392, 13, 639, 307, 364, 14598, 2480, 13, 440, 6419, 2275, 575, 257, 6408, 281, 7101, 30, 883, 11, 6318, 3216, 13, 400, 3449, 300, 309, 307, 406, 4818, 300, 309, 307, 3720, 294, 264, 17212, 13, 467, 307, 406, 3720, 510, 13, 1033, 30, 583, 286, 7320, 309, 490, 689, 30, 3358, 264, 2480, 13, 2720, 1164, 11, 264, 2275, 300, 286, 360, 11, 2221, 13, 591, 5854, 351, 11, 775, 406, 4090, 264, 1315, 295, 264, 766, 3216, 311, 1412, 13, 1033, 30, 823, 11], "avg_logprob": -0.5029605087481047, "compression_ratio": 1.6929824561403508, "no_speech_prob": 5.066394805908203e-06, "words": [{"start": 1974.91, "end": 1975.13, "word": " No,", "probability": 0.120361328125}, {"start": 1975.21, "end": 1975.55, "word": " Offender.", "probability": 0.59423828125}, {"start": 1977.13, "end": 1977.57, "word": " Okay,", "probability": 0.1943359375}, {"start": 1981.61, "end": 1981.89, "word": " okay.", "probability": 0.51123046875}, {"start": 1982.83, "end": 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Meaning from within the offender to his class, there is a list of traffic reports. Because sometimes I look for a certain person, I want to see what are the violations that he has made, what are his faults. Okay? So I find a list of traffic reports. This is also not represented, but you want to understand it from the existing relationship. Okay? 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Well, we are not done yet. We have this one. What is this? Violation. What is violation? The violation that was done. The violation that was done. The violation. Okay? And the past report has a contribution. What does this contribution mean? It is also an association. 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Passing a report may include more than one violation in the event of an accident. Okay? You want to write down the violations committed by whom? The offender. Okay? Yes, for example, speed. Two, he was drunk. Yes. Three, he did not wear a seat belt. Four, what will all these be? Violations. Okay? Violations. Among whom? The report. Okay? 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And there is also an association relationship, which means that in the traffic report there is also a reference to the traffic police who wrote it. You need to know what the traffic police wrote about the violations, okay? And also the traffic police has a list of traffic reports. We need to see what the traffic police wrote about the violations or the reports they wrote during the week, okay? 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What is this generalization? That this person extends from this person. On the basis that there can be more than one policeman. They all share the same ID, name and rank. And this person has two minuses here. Do you understand how from the drawing I read the code and understand what is inside the code? 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You can draw it horizontally or vertically, whatever shape you want. Because as long as I have a book, part, chapter and section, each one is a class. Okay? 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Now, in the end, I will return to you as a programmer. Here, of course, it is assumed that the relationship is exchangeable. I did not talk about the question, but it is assumed that it is exchangeable. What does it mean? 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the", "probability": 0.8955078125}, {"start": 2222.92, "end": 2223.16, "word": " book,", "probability": 0.95556640625}], "temperature": 1.0}, {"id": 90, "seek": 223598, "start": 2224.39, "end": 2235.99, "text": " There will be a list of what? Of parts. How did you know it was a list? From the star. And inside the part, there is a list of chapters and chapters are lists of sections. And also in each one, the part must know who it belongs to.", "tokens": [821, 486, 312, 257, 1329, 295, 437, 30, 2720, 3166, 13, 1012, 630, 291, 458, 309, 390, 257, 1329, 30, 3358, 264, 3543, 13, 400, 1854, 264, 644, 11, 456, 307, 257, 1329, 295, 20013, 293, 20013, 366, 14511, 295, 10863, 13, 400, 611, 294, 1184, 472, 11, 264, 644, 1633, 458, 567, 309, 12953, 281, 13], "avg_logprob": -0.4768318934687253, "compression_ratio": 1.4967741935483871, "no_speech_prob": 5.960464477539062e-07, "words": [{"start": 2224.39, "end": 2224.61, "word": " There", "probability": 0.09295654296875}, {"start": 2224.61, "end": 2224.61, "word": " will", "probability": 0.63671875}, {"start": 2224.61, "end": 2224.89, "word": " be", "probability": 0.90625}, {"start": 2224.89, "end": 2225.03, "word": " a", "probability": 0.7607421875}, {"start": 2225.03, "end": 2225.23, "word": " list", "probability": 0.798828125}, {"start": 2225.23, "end": 2225.39, "word": " of", "probability": 0.833984375}, {"start": 2225.39, "end": 2225.61, "word": " what?", "probability": 0.48291015625}, {"start": 2226.07, "end": 2226.43, "word": " Of", "probability": 0.250244140625}, {"start": 2226.43, "end": 2226.57, "word": " parts.", "probability": 0.697265625}, {"start": 2226.65, "end": 2226.75, "word": " How", "probability": 0.87451171875}, {"start": 2226.75, "end": 2226.83, "word": " did", "probability": 0.7275390625}, {"start": 2226.83, "end": 2226.83, "word": " you", "probability": 0.81201171875}, {"start": 2226.83, "end": 2227.01, "word": " know", "probability": 0.55078125}, {"start": 2227.01, "end": 2227.15, "word": " it", "probability": 0.60302734375}, {"start": 2227.15, "end": 2227.15, "word": " was", "probability": 0.31201171875}, {"start": 2227.15, "end": 2227.23, "word": " a", "probability": 0.95556640625}, {"start": 2227.23, "end": 2227.45, "word": " list?", "probability": 0.87109375}, {"start": 2227.93, "end": 2228.29, "word": " From", "probability": 0.5947265625}, {"start": 2228.29, "end": 2228.45, "word": " the", "probability": 0.6005859375}, {"start": 2228.45, "end": 2228.63, "word": " star.", "probability": 0.869140625}, {"start": 2229.15, "end": 2229.29, "word": " And", "probability": 0.671875}, {"start": 2229.29, "end": 2229.47, "word": " inside", "probability": 0.7490234375}, {"start": 2229.47, "end": 2229.67, "word": " the", "probability": 0.61865234375}, {"start": 2229.67, "end": 2229.87, "word": " part,", "probability": 0.4970703125}, {"start": 2229.95, "end": 2230.01, "word": " there", "probability": 0.440185546875}, {"start": 2230.01, "end": 2230.01, "word": " is", "probability": 0.4326171875}, {"start": 2230.01, "end": 2230.01, "word": " a", "probability": 0.89013671875}, {"start": 2230.01, "end": 2230.13, "word": " list", "probability": 0.7451171875}, {"start": 2230.13, "end": 2230.23, "word": " of", "probability": 0.95703125}, {"start": 2230.23, "end": 2230.61, "word": " chapters", "probability": 0.65185546875}, {"start": 2230.61, "end": 2230.73, "word": " and", "probability": 0.61376953125}, {"start": 2230.73, "end": 2231.01, "word": " chapters", "probability": 0.70166015625}, {"start": 2231.01, "end": 2231.17, "word": " are", "probability": 0.53466796875}, {"start": 2231.17, "end": 2231.33, "word": " lists", "probability": 0.6640625}, {"start": 2231.33, "end": 2231.47, "word": " of", "probability": 0.96240234375}, {"start": 2231.47, "end": 2231.83, "word": " sections.", "probability": 0.90625}, {"start": 2232.31, "end": 2232.37, "word": " And", "probability": 0.65576171875}, {"start": 2232.37, "end": 2232.63, "word": " also", "probability": 0.57666015625}, {"start": 2232.63, "end": 2232.79, "word": " in", "probability": 0.331787109375}, {"start": 2232.79, "end": 2233.05, "word": " each", "probability": 0.85888671875}, {"start": 2233.05, "end": 2233.49, "word": " one,", "probability": 0.53564453125}, {"start": 2234.23, "end": 2234.35, "word": " the", "probability": 0.364013671875}, {"start": 2234.35, "end": 2234.99, "word": " part", "probability": 0.69775390625}, {"start": 2234.99, "end": 2235.03, "word": " must", "probability": 0.595703125}, {"start": 2235.03, "end": 2235.27, "word": " know", "probability": 0.8076171875}, {"start": 2235.27, "end": 2235.47, "word": " who", "probability": 0.211181640625}, {"start": 2235.47, "end": 2235.55, "word": " it", "probability": 0.464599609375}, {"start": 2235.55, "end": 2235.85, "word": " belongs", "probability": 0.55322265625}, {"start": 2235.85, "end": 2235.99, "word": " to.", "probability": 0.97314453125}], "temperature": 1.0}, {"id": 91, "seek": 226392, "start": 2237.37, "end": 2263.93, "text": "So logic says that inside the part, there is a reference to the book. And this is always one. And also, the chapter has a reference to whom? Of course, the part belongs to one book. It won't say that the part has more than one book. But the book has more than one part. Okay? And here, this is also not included in the question. He decided to make the relationship aggregation. 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B is in the second attribute. The book must have a publisher, publication date, and ISBN. The part has a title and number, the chapter has a title, number, and abstract, and the section has a title and number. Calculate the drawing. This is the same drawing, but I made it smaller to put the attributes. The book has a part, more than a part, and the part has more than a chapter, and the chapter has more than a section. But who did I put?", "tokens": [7298, 2024, 1819, 13, 363, 307, 294, 264, 1150, 19667, 13, 440, 1446, 1633, 362, 257, 25088, 11, 19953, 4002, 11, 293, 47874, 13, 440, 644, 575, 257, 4876, 293, 1230, 11, 264, 7187, 575, 257, 4876, 11, 1230, 11, 293, 12649, 11, 293, 264, 3541, 575, 257, 4876, 293, 1230, 13, 3511, 2444, 473, 264, 6316, 13, 639, 307, 264, 912, 6316, 11, 457, 286, 1027, 309, 4356, 281, 829, 264, 17212, 13, 440, 1446, 575, 257, 644, 11, 544, 813, 257, 644, 11, 293, 264, 644, 575, 544, 813, 257, 7187, 11, 293, 264, 7187, 575, 544, 813, 257, 3541, 13, 583, 567, 630, 286, 829, 30], "avg_logprob": -0.4193181866949255, "compression_ratio": 2.0405405405405403, "no_speech_prob": 1.1920928955078125e-07, "words": [{"start": 2283.46, "end": 2283.86, "word": " Attributes.", "probability": 0.8673502604166666}, {"start": 2284.46, "end": 2284.62, "word": " B", "probability": 0.30029296875}, {"start": 2284.62, "end": 2284.74, "word": " is", "probability": 0.50048828125}, {"start": 2284.74, 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attributes in the classes until he said to me note that the part, chapter and section classes all include a title and number attribute which means these three after I put the attributes I found that they share something in common what is it? the title and the number right or not guys? right? so he said to me since they have common attributes add a description", "tokens": [264, 17212, 294, 264, 5359, 1826, 415, 848, 281, 385, 3637, 300, 264, 644, 11, 7187, 293, 3541, 5359, 439, 4090, 257, 4876, 293, 1230, 19667, 597, 1355, 613, 1045, 934, 286, 829, 264, 17212, 286, 1352, 300, 436, 2073, 746, 294, 2689, 437, 307, 309, 30, 264, 4876, 293, 264, 1230, 558, 420, 406, 1074, 30, 558, 30, 370, 415, 848, 281, 385, 1670, 436, 362, 2689, 17212, 909, 257, 3855], "avg_logprob": -0.6194349053787859, "compression_ratio": 1.8029556650246306, "no_speech_prob": 9.775161743164062e-06, "words": [{"start": 2309.54, "end": 2309.78, "word": " the", "probability": 0.148681640625}, {"start": 2309.78, "end": 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Okay? So he modified the drawing. He modified the drawing and put a number component inside the string. It is called title and integer is called number. And these were extended to whom?", "tokens": [682, 1668, 281, 909, 364, 12649, 1508, 300, 29520, 264, 5507, 721, 293, 1884, 257, 2674, 2144, 2480, 13, 1033, 30, 407, 415, 15873, 264, 6316, 13, 634, 15873, 264, 6316, 293, 829, 257, 1230, 6542, 1854, 264, 6798, 13, 467, 307, 1219, 4876, 293, 24922, 307, 1219, 1230, 13, 400, 613, 645, 10913, 281, 7101, 30], "avg_logprob": -0.7429956670465141, "compression_ratio": 1.6065573770491803, "no_speech_prob": 4.76837158203125e-07, "words": [{"start": 2336.97, "end": 2337.33, "word": " In", "probability": 0.05755615234375}, {"start": 2337.33, "end": 2337.33, "word": " order", "probability": 0.8330078125}, {"start": 2337.33, "end": 2337.41, "word": " to", "probability": 0.9619140625}, {"start": 2337.41, "end": 2337.81, "word": " add", "probability": 0.65234375}, {"start": 2337.81, "end": 2338.35, "word": " an", "probability": 0.31103515625}, {"start": 2338.35, "end": 2338.61, "word": " abstract", "probability": 0.81396484375}, {"start": 2338.61, "end": 2339.09, "word": " class", "probability": 0.9169921875}, {"start": 2339.09, "end": 2339.31, "word": " that", "probability": 0.388671875}, {"start": 2339.31, "end": 2339.51, "word": " combines", "probability": 0.405517578125}, {"start": 2339.51, "end": 2339.75, "word": " the", "probability": 0.297119140625}, {"start": 2339.75, "end": 2340.31, "word": " shared", "probability": 0.207275390625}, {"start": 2340.31, "end": 2340.43, "word": " things", "probability": 0.1820068359375}, {"start": 2340.43, "end": 2340.61, "word": " and", "probability": 0.453369140625}, {"start": 2340.61, "end": 2340.83, "word": " create", "probability": 0.1361083984375}, {"start": 2340.83, "end": 2340.93, "word": " a", "probability": 0.810546875}, {"start": 2340.93, "end": 2342.13, "word": " generalization", "probability": 0.65283203125}, {"start": 2342.13, "end": 2342.65, "word": " relationship.", "probability": 0.479736328125}, {"start": 2342.89, "end": 2343.19, "word": " Okay?", "probability": 0.1754150390625}, {"start": 2344.35, "end": 2344.67, "word": " So", "probability": 0.55859375}, {"start": 2344.67, "end": 2344.81, "word": " he", "probability": 0.445068359375}, {"start": 2344.81, "end": 2345.07, "word": " modified", "probability": 0.278076171875}, {"start": 2345.07, "end": 2345.21, "word": " the", "probability": 0.86083984375}, {"start": 2345.21, "end": 2345.53, "word": " drawing.", "probability": 0.66748046875}, {"start": 2347.47, "end": 2348.15, "word": " He", "probability": 0.410400390625}, {"start": 2348.15, "end": 2348.35, "word": " modified", "probability": 0.74462890625}, {"start": 2348.35, "end": 2348.89, "word": " the", "probability": 0.859375}, {"start": 2348.89, "end": 2348.89, "word": " drawing", "probability": 0.93359375}, {"start": 2348.89, "end": 2349.27, "word": " and", "probability": 0.59423828125}, {"start": 2349.27, "end": 2349.51, "word": " put", "probability": 0.368408203125}, {"start": 2349.51, "end": 2350.03, "word": " a", "probability": 0.3388671875}, {"start": 2350.03, "end": 2350.73, "word": " number", "probability": 0.278564453125}, {"start": 2350.73, "end": 2351.61, "word": " component", "probability": 0.7490234375}, {"start": 2351.61, "end": 2352.35, "word": " inside", "probability": 0.369384765625}, {"start": 2352.35, "end": 2353.09, "word": " the", "probability": 0.55712890625}, {"start": 2353.09, "end": 2353.49, "word": " string.", "probability": 0.861328125}, {"start": 2353.95, "end": 2354.63, "word": " It", "probability": 0.13330078125}, {"start": 2354.63, "end": 2354.91, "word": " is", "probability": 0.38916015625}, {"start": 2354.91, "end": 2355.01, "word": " called", "probability": 0.58056640625}, {"start": 2355.01, "end": 2355.41, "word": " title", "probability": 0.5830078125}, {"start": 2355.41, "end": 2355.73, "word": " and", "probability": 0.82373046875}, {"start": 2355.73, "end": 2356.07, "word": " integer", "probability": 0.7470703125}, {"start": 2356.07, "end": 2356.27, "word": " is", "probability": 0.49560546875}, {"start": 2356.27, "end": 2356.65, "word": " called", "probability": 0.58837890625}, {"start": 2356.65, "end": 2357.65, "word": " number.", "probability": 0.9091796875}, {"start": 2358.21, "end": 2358.31, "word": " And", "probability": 0.72705078125}, {"start": 2358.31, "end": 2358.65, "word": " these", "probability": 0.4716796875}, {"start": 2358.65, "end": 2359.17, "word": " were", "probability": 0.11187744140625}, {"start": 2359.17, "end": 2361.73, "word": " extended", "probability": 0.5859375}, {"start": 2361.73, "end": 2362.03, "word": " to", "probability": 0.86083984375}, {"start": 2362.03, "end": 2362.27, "word": " whom?", "probability": 0.72900390625}], "temperature": 1.0}, {"id": 96, "seek": 239048, "start": 2363.48, "end": 2390.48, "text": "to this class, okay? Of course, the common things he took from here, he put them here, he left only the different things, okay? And sometimes, by the way, in this case, he told me that it is abstract, right? Sometimes in this class, I write the word abstract, and sometimes I don't write it, but I put the name of the class Italic, okay? 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So let's look at the classes that I have here. Let's start from here. This is the class that has a lot of brackets. Who does this represent? Employee. These are the attributes of the employee and these are the existing methods. Come here. Who is this?", "tokens": [2278, 1036, 1365, 307, 1071, 1365, 11, 611, 264, 3387, 307, 300, 562, 291, 536, 264, 10686, 11, 291, 458, 577, 281, 7620, 309, 281, 3089, 13, 407, 718, 311, 574, 412, 264, 5359, 300, 286, 362, 510, 13, 961, 311, 722, 490, 510, 13, 639, 307, 264, 1508, 300, 575, 257, 688, 295, 26179, 13, 2102, 775, 341, 2906, 30, 26878, 1653, 13, 1981, 366, 264, 17212, 295, 264, 10738, 293, 613, 366, 264, 6741, 7150, 13, 2492, 510, 13, 2102, 307, 341, 30], "avg_logprob": -0.48473836897417555, "compression_ratio": 1.6533333333333333, "no_speech_prob": 5.960464477539063e-08, "words": [{"start": 2391.96, "end": 2392.28, "word": "The", "probability": 0.11474609375}, {"start": 2392.28, "end": 2392.48, "word": " last", "probability": 0.54541015625}, {"start": 2392.48, "end": 2392.9, "word": " example", "probability": 0.9208984375}, {"start": 2392.9, "end": 2393.34, "word": " is", "probability": 0.736328125}, {"start": 2393.34, "end": 2393.96, "word": " another", "probability": 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The duration of his contract is a method here. Because this is one of the types of employees. So he went and generalized it for the employee. So he extended the employee. 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Okay? He called it managers. It looks like this. It took two relationships here. This is the relationship of generalization and this is the relationship of association. Well, why did he do that? 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And then you turn it into code. And the advantage of class diagram these days is that it shows you relationships and you can translate Java, Python, or PHP into any language. This is standard. Today's concept is that it is standard. You agree on it, and then everyone does coding in the form or language they want. Does anyone have any questions or inquiries? Thank you.", "tokens": [293, 321, 1223, 552, 13, 400, 550, 291, 1261, 309, 666, 3089, 13, 400, 264, 5002, 295, 1508, 10686, 613, 1708, 307, 300, 309, 3110, 291, 6159, 293, 291, 393, 13799, 10745, 11, 15329, 11, 420, 47298, 666, 604, 2856, 13, 639, 307, 3832, 13, 2692, 311, 3410, 307, 300, 309, 307, 3832, 13, 509, 3986, 322, 309, 11, 293, 550, 1518, 775, 17720, 294, 264, 1254, 420, 2856, 436, 528, 13, 4402, 2878, 362, 604, 1651, 420, 13570, 38619, 30, 1044, 291, 13], "avg_logprob": -0.600735299727496, "compression_ratio": 1.6458333333333333, "no_speech_prob": 3.534555435180664e-05, "words": [{"start": 2589.25, "end": 2589.39, "word": " and", "probability": 0.29833984375}, {"start": 2589.39, "end": 2589.49, "word": " we", "probability": 0.330322265625}, {"start": 2589.49, "end": 2589.63, "word": " understand", "probability": 0.32470703125}, {"start": 2589.63, "end": 2590.05, "word": " them.", "probability": 0.5927734375}, {"start": 2590.69, "end": 2590.83, "word": " And", "probability": 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