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+{"segments": [{"id": 1, "seek": 3283, "start": 5.21, "end": 32.83, "text": " Ok guys, peace be upon you Today, God willing, guys, we will continue the explanation of the proxy pattern to see his elderly ground and other uses of it In the last lecture, we talked about the proxy pattern and we said that it is very similar to the decorator It is really like the idea of ​​the decorator that I have an object that covers another object But why did he make another design pattern? 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The goal of the decorator was to wrap an object with the goal of adding additional functionality. But the proxy is to wrap an object with the goal of controlling this object and controlling it in a larger way. 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Its creation takes up space in the memory. So if you create 100 images, it means that 100 images will be stored in the memory whether you show them or not. You actually stored the image, but you only showed one image. 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do? I created a new class called ImageProxy that covers the image icon because the image is basically an image icon, okay? so I created an imaginary object or an imaginary class called ImageProxy that covers the image icon all the idea that exists is that I don't really want to create the image icon unless I need to", "tokens": [826, 528, 281, 1319, 309, 11, 457, 412, 264, 912, 565, 11, 286, 500, 380, 528, 281, 1319, 886, 709, 294, 452, 724, 370, 437, 630, 286, 360, 30, 286, 2942, 257, 777, 1508, 1219, 29903, 12681, 12876, 300, 10538, 264, 3256, 6528, 570, 264, 3256, 307, 1936, 364, 3256, 6528, 11, 1392, 30, 370, 286, 2942, 364, 26164, 2657, 420, 364, 26164, 1508, 1219, 29903, 12681, 12876, 300, 10538, 264, 3256, 6528, 439, 264, 1558, 300, 8198, 307, 300, 286, 500, 380, 534, 528, 281, 1884, 264, 3256, 6528, 5969, 286, 643, 281], "avg_logprob": -0.452960529452876, "compression_ratio": 2.0341463414634147, "no_speech_prob": 1.519918441772461e-05, "words": [{"start": 89.82, "end": 89.98, 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So in the image proxy, the new class that I created, its constructor does not create an object from an image icon, it only sends a string to the image and stores this string. 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I created the cost object and loaded it in my memory to claim the method. Just like the image icon, we loaded it in memory but we didn't show the image.", "tokens": [52, 580, 388, 291, 643, 264, 3170, 281, 3932, 309, 11, 286, 500, 380, 643, 264, 3170, 13, 286, 2942, 264, 2063, 2657, 293, 13210, 309, 294, 452, 4675, 281, 3932, 264, 3170, 13, 1449, 411, 264, 3256, 6528, 11, 321, 13210, 309, 294, 4675, 457, 321, 994, 380, 855, 264, 3256, 13], "avg_logprob": -0.6001157528824277, "compression_ratio": 1.6488549618320612, "no_speech_prob": 2.485513687133789e-05, "words": [{"start": 223.45999999999998, "end": 223.98, "word": "Until", "probability": 0.6777242024739584}, {"start": 223.98, "end": 224.2, "word": " you", "probability": 0.8291015625}, {"start": 224.2, "end": 224.56, "word": " need", "probability": 0.446044921875}, {"start": 224.56, "end": 224.94, "word": " the", "probability": 0.6455078125}, {"start": 224.94, "end": 225.28, "word": " method", "probability": 0.8720703125}, {"start": 225.28, "end": 225.62, "word": " to", "probability": 0.78857421875}, 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In our example, the image proxy is this light object, which has the same interface as the image icon. Both of them are image icons. So what do these light objects do? These light objects are called proxies, and they will instantiate those heavy objects when they are really needed. This light object actually wraps the heavy object.", "tokens": [1705, 87, 530, 13, 682, 527, 1365, 11, 264, 3256, 29690, 307, 341, 1442, 2657, 11, 597, 575, 264, 912, 9226, 382, 264, 3256, 6528, 13, 6767, 295, 552, 366, 3256, 23308, 13, 407, 437, 360, 613, 1442, 6565, 360, 30, 1981, 1442, 6565, 366, 1219, 447, 87, 530, 11, 293, 436, 486, 9836, 13024, 729, 4676, 6565, 562, 436, 366, 534, 2978, 13, 639, 1442, 2657, 767, 25831, 264, 4676, 2657, 13], "avg_logprob": -0.33192567366200526, "compression_ratio": 1.7628865979381443, "no_speech_prob": 3.5762786865234375e-07, "words": [{"start": 262.66999999999996, "end": 263.27, "word": " Proxies.", "probability": 0.7640787760416666}, {"start": 264.23, "end": 264.51, "word": " In", "probability": 0.31640625}, {"start": 264.51, "end": 264.57, "word": " our", "probability": 0.8447265625}, {"start": 264.57, "end": 264.87, "word": " example,", "probability": 0.9326171875}, {"start": 265.13, "end": 265.21, "word": " the", "probability": 0.7001953125}, 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279.53, "end": 280.51, "word": " instantiate", "probability": 0.94482421875}, {"start": 280.51, "end": 280.85, "word": " those", "probability": 0.75048828125}, {"start": 280.85, "end": 281.09, "word": " heavy", "probability": 0.79443359375}, {"start": 281.09, "end": 281.51, "word": " objects", "probability": 0.95654296875}, {"start": 281.51, "end": 281.75, "word": " when", "probability": 0.884765625}, {"start": 281.75, "end": 281.91, "word": " they", "probability": 0.89990234375}, {"start": 281.91, "end": 282.09, "word": " are", "probability": 0.91943359375}, {"start": 282.09, "end": 282.39, "word": " really", "probability": 0.88671875}, {"start": 282.39, "end": 282.71, "word": " needed.", "probability": 0.6630859375}, {"start": 284.17, "end": 284.49, "word": " This", "probability": 0.26611328125}, {"start": 284.49, "end": 284.83, "word": " light", "probability": 0.60107421875}, {"start": 284.83, "end": 285.23, "word": " object", "probability": 0.97998046875}, {"start": 285.23, "end": 286.41, "word": " actually", "probability": 0.274169921875}, {"start": 286.41, "end": 287.25, "word": " wraps", "probability": 0.332763671875}, {"start": 287.25, "end": 287.45, "word": " the", "probability": 0.5224609375}, {"start": 287.45, "end": 287.85, "word": " heavy", "probability": 0.80322265625}, {"start": 287.85, "end": 288.25, "word": " object.", "probability": 0.9384765625}], "temperature": 1.0}, {"id": 12, "seek": 31812, "start": 288.92, "end": 318.12, "text": "What I mean by that is the important thing is the wrapped object inside. This image approximate is the image. Am I right or not guys? Because this is the important point. Light object will instantiate those heavy objects when they are really needed and by then we will use some light objects instead. The client uses the light object like the image icon, but actually the wrapped object is what is created at the moment of display of the image.", "tokens": [3748, 286, 914, 538, 300, 307, 264, 1021, 551, 307, 264, 14226, 2657, 1854, 13, 639, 3256, 30874, 307, 264, 3256, 13, 2012, 286, 558, 420, 406, 1074, 30, 1436, 341, 307, 264, 1021, 935, 13, 8279, 2657, 486, 9836, 13024, 729, 4676, 6565, 562, 436, 366, 534, 2978, 293, 538, 550, 321, 486, 764, 512, 1442, 6565, 2602, 13, 440, 6423, 4960, 264, 1442, 2657, 411, 264, 3256, 6528, 11, 457, 767, 264, 14226, 2657, 307, 437, 307, 2942, 412, 264, 1623, 295, 4674, 295, 264, 3256, 13], "avg_logprob": -0.5284722288449605, "compression_ratio": 1.8577405857740585, "no_speech_prob": 5.960464477539062e-07, "words": [{"start": 288.92, "end": 289.22, "word": "What", "probability": 0.435302734375}, {"start": 289.22, "end": 289.4, "word": " I", "probability": 0.84912109375}, {"start": 289.4, "end": 289.6, "word": " mean", "probability": 0.64599609375}, 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Right or wrong? If I didn't explain the example and read the sentence, you won't understand what is light and what is heavy. But with the example, the sentence should be clearer. Now, the ability to control the access to an object can be required for a variety of reasons. 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The first case is controlling when a caustic object needs to be instantiated and initialized. The first case is controlling when a caustic object is created. This is similar to the example that we presented. Now he is explaining what are the cases that need a proxy pattern. 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To the X inside and Y is the same thing Z can be put empty on the basis that the client keeps seeing this like this but the method makes it empty or doesn't make forward as if you blocked whom? 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We will talk about this point in a moment. The last point, the third use of the proxy. 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And I read from it and I show it for example in the pages that I have on the website. Now, I also want to make a mobile application. Let's call this mobile device. 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Slash, for example, fifty-three. What does it mean? It wants the product fifty-three. Here are its details. This is the domain name slash product in the products slash fifty-three which is ... This is the URL link. 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But of course, the data is not returned as HTML. HTML is made for human processing, to show a visible page. But when devices communicate with each other, the data is returned as a form that the machine can understand. 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"temperature": 1.0}, {"id": 32, "seek": 81155, "start": 797.27, "end": 811.55, "text": "and XML, did you hear about JSON and XML? It's just a way to represent data. For example, I want a person, I want the employee", "tokens": [474, 43484, 11, 630, 291, 1568, 466, 31828, 293, 43484, 30, 467, 311, 445, 257, 636, 281, 2906, 1412, 13, 1171, 1365, 11, 286, 528, 257, 954, 11, 286, 528, 264, 10738], "avg_logprob": -0.5705492424242424, "compression_ratio": 1.1775700934579438, "no_speech_prob": 1.2576580047607422e-05, "words": [{"start": 797.27, "end": 797.55, "word": "and", "probability": 0.3056640625}, {"start": 797.55, "end": 798.01, "word": " XML,", "probability": 0.2392578125}, {"start": 798.79, "end": 798.95, "word": " did", "probability": 0.274169921875}, {"start": 798.95, "end": 798.95, "word": " you", "probability": 0.96923828125}, {"start": 798.95, "end": 799.17, "word": " hear", "probability": 0.80517578125}, {"start": 799.17, "end": 799.45, "word": " about", "probability": 0.6943359375}, {"start": 799.45, "end": 799.71, "word": " JSON", "probability": 0.7529296875}, {"start": 799.71, "end": 799.87, "word": " and", "probability": 0.91259765625}, {"start": 799.87, "end": 800.15, "word": " XML?", "probability": 0.9169921875}, {"start": 800.67, "end": 801.23, "word": " It's", "probability": 0.4730224609375}, {"start": 801.23, "end": 801.41, "word": " just", "probability": 0.6875}, {"start": 801.41, "end": 801.55, "word": " a", "probability": 0.9033203125}, {"start": 801.55, "end": 801.87, "word": " way", "probability": 0.84130859375}, {"start": 801.87, "end": 803.17, "word": " to", "probability": 0.70458984375}, {"start": 803.17, "end": 803.95, "word": " represent", "probability": 0.541015625}, {"start": 803.95, "end": 804.87, "word": " data.", "probability": 0.496826171875}, {"start": 805.51, "end": 805.83, "word": " For", "probability": 0.52294921875}, {"start": 805.83, "end": 806.01, "word": " example,", "probability": 0.89990234375}, {"start": 806.17, "end": 806.21, "word": " I", "probability": 0.60595703125}, {"start": 806.21, "end": 806.43, "word": " want", "probability": 0.626953125}, {"start": 806.43, "end": 807.53, "word": " a", "probability": 0.5087890625}, {"start": 807.53, "end": 807.77, "word": " person,", "probability": 0.88818359375}, {"start": 809.85, "end": 810.01, "word": " I", "probability": 0.43896484375}, {"start": 810.01, "end": 810.37, "word": " want", "probability": 0.67041015625}, {"start": 810.37, "end": 811.07, "word": " the", "probability": 0.53515625}, {"start": 811.07, "end": 811.55, "word": " employee", "probability": 0.68603515625}], "temperature": 1.0}, {"id": 33, "seek": 83890, "start": 812.48, "end": 838.9, "text": " Ok, his ID is 53. This request reaches the server. This server reaches the URL. It takes 53 and queries the database. There is a code here. Select from database. This is the ID of the employee. It gets his information. Ok, who should this information go back to? To the server. Why should it go back to HTML? It goes back to either JSON or XML. Can I enter the employee's data? For example, it was Ali, 17.", "tokens": [3477, 11, 702, 7348, 307, 21860, 13, 639, 5308, 14235, 264, 7154, 13, 639, 7154, 14235, 264, 12905, 13, 467, 2516, 21860, 293, 24109, 264, 8149, 13, 821, 307, 257, 3089, 510, 13, 13638, 490, 8149, 13, 639, 307, 264, 7348, 295, 264, 846, 21132, 1200, 68, 13, 467, 2170, 702, 1589, 13, 3477, 11, 567, 820, 341, 1589, 352, 646, 281, 30, 1407, 264, 7154, 13, 1545, 820, 309, 352, 646, 281, 17995, 30, 467, 1709, 646, 281, 2139, 31828, 420, 43484, 13, 1664, 286, 3242, 264, 10738, 311, 1412, 30, 1171, 1365, 11, 309, 390, 12020, 11, 3282, 13], "avg_logprob": -0.5594362885344262, "compression_ratio": 1.6887966804979253, "no_speech_prob": 8.940696716308594e-07, "words": [{"start": 812.48, "end": 812.76, "word": " Ok,", "probability": 0.2265625}, {"start": 812.98, "end": 813.36, "word": " his", "probability": 0.359130859375}, {"start": 813.36, "end": 813.68, "word": " ID", "probability": 0.5869140625}, {"start": 813.68, "end": 814.16, "word": " is", 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"probability": 0.681640625}, {"start": 827.4, "end": 827.58, "word": " Ok,", "probability": 0.301513671875}, {"start": 827.64, "end": 827.68, "word": " who", "probability": 0.285400390625}, {"start": 827.68, "end": 827.68, "word": " should", "probability": 0.57177734375}, {"start": 827.68, "end": 827.68, "word": " this", "probability": 0.56982421875}, {"start": 827.68, "end": 828.18, "word": " information", "probability": 0.80322265625}, {"start": 828.18, "end": 828.54, "word": " go", "probability": 0.55224609375}, {"start": 828.54, "end": 828.64, "word": " back", "probability": 0.49462890625}, {"start": 828.64, "end": 828.72, "word": " to?", "probability": 0.9541015625}, {"start": 829.3, "end": 829.68, "word": " To", "probability": 0.7021484375}, {"start": 829.68, "end": 829.76, "word": " the", "probability": 0.9091796875}, {"start": 829.76, "end": 830.06, "word": " server.", "probability": 0.9169921875}, {"start": 830.52, "end": 830.7, "word": " Why", "probability": 0.833984375}, 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So I got these data. Do you understand what this is? These are the employee's data. There is no explanation for it. Okay, I understand, this is a name. But what is seventeen? This is his age, the address where he lives, he has seventeen children. Yes, no, no, three, what is three? He has three children, married three, I don't know what this is. So I found that we need another information to explain what this is.", "tokens": [1079, 11, 1045, 11, 732, 11, 337, 1365, 13, 407, 286, 658, 613, 1412, 13, 1144, 291, 1223, 437, 341, 307, 30, 1981, 366, 264, 10738, 311, 1412, 13, 821, 307, 572, 10835, 337, 309, 13, 1033, 11, 286, 1223, 11, 341, 307, 257, 1315, 13, 583, 437, 307, 39532, 30, 639, 307, 702, 3205, 11, 264, 2985, 689, 415, 2909, 11, 415, 575, 39532, 2227, 13, 1079, 11, 572, 11, 572, 11, 1045, 11, 437, 307, 1045, 30, 634, 575, 1045, 2227, 11, 5259, 1045, 11, 286, 500, 380, 458, 437, 341, 307, 13, 407, 286, 1352, 300, 321, 643, 1071, 1589, 281, 2903, 437, 341, 307, 13], "avg_logprob": -0.4494318198073994, "compression_ratio": 1.8130081300813008, "no_speech_prob": 9.298324584960938e-06, "words": [{"start": 840.31, "end": 840.75, "word": " Yes,", "probability": 0.1571044921875}, {"start": 840.93, "end": 841.33, "word": " three,", "probability": 0.59228515625}, {"start": 841.75, "end": 842.35, "word": " two,", "probability": 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This is the shape of the JSON file. JSON is what? Key and value, okay? Key can have more than value, okay?", "tokens": [407, 321, 393, 584, 337, 1365, 11, 829, 2141, 1315, 11, 732, 15026, 411, 341, 11, 22117, 11, 3205, 11, 732, 15026, 11, 1230, 295, 2227, 11, 411, 341, 11, 1392, 30, 639, 307, 264, 3909, 295, 264, 31828, 3991, 13, 31828, 307, 437, 30, 12759, 293, 2158, 11, 1392, 30, 12759, 393, 362, 544, 813, 2158, 11, 1392, 30], "avg_logprob": -0.5030737744003045, "compression_ratio": 1.4836601307189543, "no_speech_prob": 3.3974647521972656e-06, "words": [{"start": 867.47, "end": 867.91, "word": " So", "probability": 0.17236328125}, {"start": 867.91, "end": 868.03, "word": " we", "probability": 0.436767578125}, {"start": 868.03, "end": 868.13, "word": " can", "probability": 0.308837890625}, {"start": 868.13, "end": 868.23, "word": " say", "probability": 0.69970703125}, {"start": 868.23, "end": 868.31, "word": " for", "probability": 0.53515625}, {"start": 868.31, "end": 868.49, "word": " example,", "probability": 0.91748046875}, {"start": 868.73, "end": 869.53, "word": " put", "probability": 0.333251953125}, {"start": 869.53, "end": 869.87, "word": " key", "probability": 0.40771484375}, {"start": 869.87, "end": 870.55, "word": " name,", "probability": 0.583984375}, {"start": 871.01, "end": 871.43, "word": " two", "probability": 0.41796875}, {"start": 871.43, "end": 871.65, "word": " dots", "probability": 0.58056640625}, {"start": 871.65, "end": 871.95, "word": " like", "probability": 0.392333984375}, {"start": 871.95, "end": 872.25, "word": " this,", "probability": 0.5361328125}, {"start": 873.27, "end": 873.65, "word": " comma,", "probability": 0.2587890625}, {"start": 874.49, "end": 874.97, "word": " age,", "probability": 0.7685546875}, {"start": 875.71, "end": 875.93, "word": " two", "probability": 0.90576171875}, {"start": 875.93, "end": 876.15, "word": " dots,", "probability": 0.82177734375}, {"start": 877.13, "end": 877.81, "word": " number", "probability": 0.9375}, {"start": 877.81, "end": 878.05, "word": " of", "probability": 0.97607421875}, {"start": 878.05, "end": 878.57, "word": " children,", "probability": 0.86376953125}, {"start": 879.99, "end": 880.19, "word": " like", "probability": 0.77392578125}, {"start": 880.19, "end": 880.65, "word": " this,", "probability": 0.900390625}, {"start": 881.01, "end": 881.27, "word": " okay?", "probability": 0.286865234375}, {"start": 881.61, "end": 881.99, "word": " This", "probability": 0.7392578125}, {"start": 881.99, "end": 882.05, "word": " is", "probability": 0.923828125}, {"start": 882.05, "end": 882.13, "word": " the", "probability": 0.63330078125}, {"start": 882.13, "end": 882.23, "word": " shape", "probability": 0.449462890625}, {"start": 882.23, "end": 882.57, "word": " of", "probability": 0.9619140625}, {"start": 882.57, "end": 883.05, "word": " the", "probability": 0.66845703125}, {"start": 883.05, "end": 883.31, "word": " JSON", "probability": 0.38671875}, {"start": 883.31, "end": 883.39, "word": " file.", "probability": 0.76123046875}, {"start": 884.59, "end": 884.91, "word": " JSON", "probability": 0.74169921875}, {"start": 884.91, "end": 885.07, "word": " is", "probability": 0.7255859375}, {"start": 885.07, "end": 885.15, "word": " what?", "probability": 0.1754150390625}, {"start": 885.57, "end": 885.81, "word": " Key", "probability": 0.8671875}, {"start": 885.81, "end": 886.49, "word": " and", "probability": 0.89013671875}, {"start": 886.49, "end": 886.87, "word": " value,", "probability": 0.88671875}, {"start": 887.73, "end": 887.89, "word": " okay?", "probability": 0.75}, {"start": 887.97, "end": 888.41, "word": " Key", "probability": 0.64453125}, {"start": 888.41, "end": 888.55, "word": " can", "probability": 0.65625}, {"start": 888.55, "end": 888.75, "word": " have", "probability": 0.8125}, {"start": 888.75, "end": 888.95, "word": " more", "probability": 0.9287109375}, {"start": 888.95, "end": 889.11, "word": " than", "probability": 0.84814453125}, {"start": 889.11, "end": 889.49, "word": " value,", "probability": 0.85986328125}, {"start": 890.17, "end": 890.61, "word": " okay?", "probability": 0.771484375}], "temperature": 1.0}, {"id": 36, "seek": 91970, "start": 891.74, "end": 919.7, "text": " It's JSON object, JSON array It's a way to represent the data Of course, this is for the machine to read it It's not HTML, HTML is for the user to see it This is like JSON Another way is XML What's different from this? 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For example, someone asks you how to create a web service. Very simply, a web service is a page with a link. 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It gets the data and forms it as JSON. JSON is text. Or it makes a return to the server. But in real applications, the number of requests can be large. For example, this mobile device needs a certain product. 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It can be a slash delivery. Okay? The point is that mobile applications have many screens, and each screen has different data. 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For example, I might need to request a certain number of links during my application. 20 links, each link represents a different request for data. It's different, are you with me? This means that you want to go to the server and create how many pages? Approximately 20 pages in the number of links. So what did Valgate do? 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This is what you call in companies to make API. What is API? This name is not accurate. The word API is short for what?", "tokens": [40, 486, 652, 309, 2199, 337, 291, 13, 639, 307, 437, 291, 818, 294, 3431, 281, 652, 9362, 13, 708, 307, 9362, 30, 639, 1315, 307, 406, 8559, 13, 440, 1349, 9362, 307, 2099, 337, 437, 30], "avg_logprob": -0.706414498780903, "compression_ratio": 1.293103448275862, "no_speech_prob": 1.1682510375976562e-05, "words": [{"start": 1097.3300000000002, "end": 1097.89, "word": "I", "probability": 0.11322021484375}, {"start": 1097.89, "end": 1098.45, "word": " will", "probability": 0.317138671875}, {"start": 1098.45, "end": 1098.63, "word": " make", "probability": 0.1964111328125}, {"start": 1098.63, "end": 1099.03, "word": " it", "probability": 0.68212890625}, {"start": 1099.03, "end": 1099.03, "word": " simple", "probability": 0.450439453125}, {"start": 1099.03, "end": 1099.21, "word": " for", "probability": 0.64453125}, {"start": 1099.21, "end": 1099.91, "word": " you.", "probability": 0.9072265625}, {"start": 1100.49, "end": 1101.05, "word": " This", "probability": 0.1961669921875}, {"start": 1101.05, "end": 1101.13, "word": " is", "probability": 0.6591796875}, {"start": 1101.13, "end": 1101.19, "word": " what", "probability": 0.841796875}, {"start": 1101.19, "end": 1101.41, "word": " you", "probability": 0.4501953125}, {"start": 1101.41, "end": 1101.89, "word": " call", "probability": 0.71875}, {"start": 1101.89, "end": 1102.05, "word": " in", "probability": 0.7138671875}, {"start": 1102.05, "end": 1102.49, "word": " companies", "probability": 0.349609375}, {"start": 1102.49, "end": 1102.95, "word": " to", "probability": 0.2210693359375}, {"start": 1102.95, "end": 1103.15, "word": " make", "probability": 0.369873046875}, {"start": 1103.15, "end": 1103.69, "word": " API.", "probability": 0.48779296875}, {"start": 1104.57, "end": 1104.67, "word": " What", "probability": 0.266357421875}, {"start": 1104.67, "end": 1104.79, "word": " is", "probability": 0.515625}, {"start": 1104.79, "end": 1105.21, "word": " API?", "probability": 0.455810546875}, {"start": 1105.95, "end": 1106.27, "word": " This", "probability": 0.46435546875}, {"start": 1106.27, "end": 1106.55, "word": " name", "probability": 0.77001953125}, {"start": 1106.55, "end": 1106.79, "word": " is", "probability": 0.44970703125}, {"start": 1106.79, "end": 1107.05, "word": " not", "probability": 0.81689453125}, {"start": 1107.05, "end": 1107.39, "word": " accurate.", "probability": 0.48095703125}, {"start": 1107.69, "end": 1107.97, "word": " The", "probability": 0.235107421875}, {"start": 1107.97, "end": 1108.17, "word": " word", "probability": 0.77294921875}, {"start": 1108.17, "end": 1108.87, "word": " API", "probability": 0.896484375}, {"start": 1108.87, "end": 1111.69, "word": " is", "probability": 0.5107421875}, {"start": 1111.69, "end": 1111.91, "word": " short", "probability": 0.5419921875}, {"start": 1111.91, "end": 1112.13, "word": " for", "probability": 0.82666015625}, {"start": 1112.13, "end": 1112.37, "word": " what?", "probability": 0.6904296875}], "temperature": 1.0}, {"id": 45, "seek": 114339, "start": 1114.63, "end": 1143.39, "text": " Abstract Programmable Interface. It is a interface through which you connect to the application. Any library that you create and provide methods or classes that tell the client to use these classes and methods in order to execute the operations that you want, this is considered an API. 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Those who work on Marvel have a certain way of doing it Those who work on Node.js have a different way Those who work on Javaspring have a third way, okay? It's all simply a simple process. What did they do? They all work in almost the same way What do you do on the server? 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"end": 1252.28, "text": " How many requests do I have to make? 20 requests. Each request is represented by a method. For example, make a request called get product. And this method takes what? String id. Regardless of whether it is Java or not. And this method, where did I turn it on? Did I find it?", "tokens": [1012, 867, 12475, 360, 286, 362, 281, 652, 30, 945, 12475, 13, 6947, 5308, 307, 10379, 538, 257, 3170, 13, 1171, 1365, 11, 652, 257, 5308, 1219, 483, 1674, 13, 400, 341, 3170, 2516, 437, 30, 745, 2937, 4496, 13, 25148, 295, 1968, 309, 307, 10745, 420, 406, 13, 400, 341, 3170, 11, 689, 630, 286, 1261, 309, 322, 30, 2589, 286, 915, 309, 30], "avg_logprob": -0.5411931917522893, "compression_ratio": 1.5193370165745856, "no_speech_prob": 2.7418136596679688e-06, "words": [{"start": 1230.08, "end": 1230.6, "word": " How", "probability": 0.09161376953125}, {"start": 1230.6, "end": 1231.12, "word": " many", "probability": 0.88134765625}, {"start": 1231.12, "end": 1231.32, "word": " requests", "probability": 0.406982421875}, {"start": 1231.32, "end": 1231.42, "word": " do", "probability": 0.394775390625}, {"start": 1231.42, "end": 1231.42, "word": " I", "probability": 0.75634765625}, {"start": 1231.42, "end": 1231.56, "word": " have", "probability": 0.376953125}, {"start": 1231.56, "end": 1231.56, "word": " to", "probability": 0.93896484375}, {"start": 1231.56, "end": 1231.8, "word": " make?", "probability": 0.431884765625}, {"start": 1232.72, "end": 1233.24, "word": " 20", "probability": 0.56982421875}, {"start": 1233.24, "end": 1233.74, "word": " requests.", "probability": 0.64111328125}, {"start": 1233.84, "end": 1234.36, "word": " Each", "probability": 0.5419921875}, {"start": 1234.36, "end": 1234.66, "word": " request", "probability": 0.85400390625}, {"start": 1234.66, "end": 1234.82, "word": " is", "probability": 0.461181640625}, {"start": 1234.82, "end": 1234.98, "word": " represented", "probability": 0.650390625}, {"start": 1234.98, "end": 1235.08, "word": " by", "probability": 0.81591796875}, {"start": 1235.08, "end": 1235.16, "word": " a", "probability": 0.7705078125}, {"start": 1235.16, "end": 1235.4, "word": " method.", "probability": 0.95166015625}, {"start": 1236.68, "end": 1237.2, "word": " For", "probability": 0.603515625}, {"start": 1237.2, "end": 1237.58, "word": " example,", "probability": 0.91455078125}, {"start": 1237.86, "end": 1238.08, "word": " make", "probability": 0.5087890625}, {"start": 1238.08, "end": 1238.36, "word": " a", "probability": 0.638671875}, {"start": 1238.36, "end": 1238.56, "word": " request", "probability": 0.94091796875}, {"start": 1238.56, "end": 1238.9, "word": " called", "probability": 0.29150390625}, {"start": 1238.9, "end": 1239.24, "word": " get", "probability": 0.5107421875}, {"start": 1239.24, "end": 1241.18, "word": " product.", "probability": 0.426513671875}, {"start": 1242.36, "end": 1242.62, "word": " And", "probability": 0.52587890625}, {"start": 1242.62, "end": 1242.8, "word": " this", "probability": 0.5888671875}, {"start": 1242.8, "end": 1243.08, "word": " method", "probability": 0.9580078125}, {"start": 1243.08, "end": 1243.34, "word": " takes", "probability": 0.6640625}, {"start": 1243.34, "end": 1243.66, "word": " what?", "probability": 0.306640625}, {"start": 1243.9, "end": 1244.42, "word": " String", "probability": 0.783203125}, {"start": 1244.42, "end": 1246.26, "word": " id.", "probability": 0.2452392578125}, {"start": 1246.62, "end": 1246.82, "word": " Regardless", "probability": 0.65576171875}, {"start": 1246.82, "end": 1247.0, "word": " of", "probability": 0.470458984375}, {"start": 1247.0, "end": 1247.24, "word": " whether", "probability": 0.42529296875}, {"start": 1247.24, "end": 1247.24, "word": " it", "probability": 0.6767578125}, {"start": 1247.24, "end": 1247.24, "word": " is", "probability": 0.587890625}, {"start": 1247.24, "end": 1247.48, "word": " Java", "probability": 0.638671875}, {"start": 1247.48, "end": 1247.68, "word": " or", "probability": 0.81396484375}, {"start": 1247.68, "end": 1248.16, "word": " not.", "probability": 0.70263671875}, {"start": 1249.02, "end": 1249.14, "word": " And", "probability": 0.5556640625}, {"start": 1249.14, "end": 1249.4, "word": " this", "probability": 0.7978515625}, {"start": 1249.4, "end": 1249.88, "word": " method,", "probability": 0.95068359375}, {"start": 1251.06, "end": 1251.34, "word": " where", "probability": 0.41162109375}, {"start": 1251.34, "end": 1251.34, "word": " did", "probability": 0.56787109375}, {"start": 1251.34, "end": 1251.56, "word": " I", "probability": 0.8154296875}, {"start": 1251.56, "end": 1251.74, "word": " turn", "probability": 0.350830078125}, {"start": 1251.74, "end": 1251.88, "word": " it", "probability": 0.8583984375}, {"start": 1251.88, "end": 1251.88, "word": " on?", "probability": 0.93115234375}, {"start": 1251.88, "end": 1252.04, "word": " Did", "probability": 0.64404296875}, {"start": 1252.04, "end": 1252.04, "word": " I", "probability": 0.798828125}, {"start": 1252.04, "end": 1252.16, "word": " find", "probability": 0.72314453125}, {"start": 1252.16, "end": 1252.28, "word": " it?", "probability": 0.9296875}], "temperature": 1.0}, {"id": 50, "seek": 127033, "start": 1253.83, "end": 1270.33, "text": "In the server, ok? What do you put here? Connection to the database, select it, get a query, get the products, put them in the ArrayList, change it to JSON twice No, even if I change it to JSON, ok? Create them as a list of what?", "tokens": [4575, 264, 7154, 11, 3133, 30, 708, 360, 291, 829, 510, 30, 11653, 313, 281, 264, 8149, 11, 3048, 309, 11, 483, 257, 14581, 11, 483, 264, 3383, 11, 829, 552, 294, 264, 1587, 3458, 43, 468, 11, 1319, 309, 281, 31828, 6091, 883, 11, 754, 498, 286, 1319, 309, 281, 31828, 11, 3133, 30, 20248, 552, 382, 257, 1329, 295, 437, 30], "avg_logprob": -0.5405273353680968, "compression_ratio": 1.4493670886075949, "no_speech_prob": 3.1054019927978516e-05, "words": [{"start": 1253.83, "end": 1253.99, "word": "In", "probability": 0.0767822265625}, {"start": 1253.99, "end": 1254.09, "word": " the", "probability": 0.66650390625}, {"start": 1254.09, "end": 1254.45, "word": " server,", "probability": 0.7685546875}, {"start": 1254.83, "end": 1255.01, "word": " ok?", "probability": 0.1812744140625}, {"start": 1255.39, "end": 1255.79, "word": " What", "probability": 0.6630859375}, {"start": 1255.79, "end": 1255.87, "word": " do", "probability": 0.59423828125}, 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{"start": 1259.51, "end": 1259.67, "word": " get", "probability": 0.72998046875}, {"start": 1259.67, "end": 1259.79, "word": " the", "probability": 0.468505859375}, {"start": 1259.79, "end": 1260.27, "word": " products,", "probability": 0.8017578125}, {"start": 1260.65, "end": 1260.89, "word": " put", "probability": 0.62255859375}, {"start": 1260.89, "end": 1261.15, "word": " them", "probability": 0.8642578125}, {"start": 1261.15, "end": 1261.27, "word": " in", "probability": 0.86181640625}, {"start": 1261.27, "end": 1261.37, "word": " the", "probability": 0.387939453125}, {"start": 1261.37, "end": 1261.89, "word": " ArrayList,", "probability": 0.705413818359375}, {"start": 1262.33, "end": 1262.55, "word": " change", "probability": 0.2080078125}, {"start": 1262.55, "end": 1262.77, "word": " it", "probability": 0.501953125}, {"start": 1262.77, "end": 1262.85, "word": " to", "probability": 0.85888671875}, {"start": 1262.85, "end": 1263.17, "word": " JSON", "probability": 0.7548828125}, 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All that is required for the client, you gave it a method Then, what does it do simply? It tells you, this method determines what is its URL It comes over the method and puts a tag You tell it, this method, its URL is this and this and this on Products on ID", "tokens": [47699, 509, 362, 257, 3170, 300, 11247, 281, 561, 3240, 47, 3953, 27690, 42739, 440, 3170, 11247, 281, 439, 561, 407, 11, 767, 11, 437, 630, 309, 360, 30, 1057, 300, 307, 4739, 337, 264, 6423, 11, 291, 2729, 309, 257, 3170, 1396, 11, 437, 775, 309, 360, 2935, 30, 467, 5112, 291, 11, 341, 3170, 24799, 437, 307, 1080, 12905, 467, 1487, 670, 264, 3170, 293, 8137, 257, 6162, 509, 980, 309, 11, 341, 3170, 11, 1080, 12905, 307, 341, 293, 341, 293, 341, 322, 47699, 322, 7348], "avg_logprob": -0.6506944219271342, "compression_ratio": 1.746606334841629, "no_speech_prob": 6.318092346191406e-06, "words": [{"start": 1300.58, "end": 1301.02, "word": " Products", "probability": 0.166015625}, {"start": 1301.02, "end": 1301.46, "word": " You", "probability": 0.294921875}, {"start": 1301.46, "end": 1301.64, "word": " 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Are you with me or not? Ok. 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Of course here this office by itself, yes it returns the product, but when the client takes it by itself, it turns it into json and returns to the client what? Text. Okay? So you can come to the mobile device, send the link and it returns json to you and then you take the json value and analyze it and extract the data. 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That when you execute a git product by itself from inside without you knowing it, it gets the URL and makes a request to the server and gets the JSON of it and turns the JSON into an object of the product type and tells you to go ahead with this product. So what happens is that you deal with the methods on the server and claim them as if they are present somewhere on the device itself. Who does this? 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easy to do, why? 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Now, what does this have to do with the proxy that we are talking about? Did you notice that we did not say that in the client-side, I create a class that is very similar to the one in the server, and from within it, I hide the details that it makes a connection to the server and gives a request and gives a response and so on? 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And this is the concept of remote method invocation, that you call a method that is far away as if this method is present on the local machine.", "tokens": [6455, 264, 1558, 300, 286, 652, 257, 1508, 2531, 281, 437, 307, 322, 264, 7154, 11, 9362, 11, 293, 286, 818, 264, 3170, 322, 264, 7154, 382, 498, 309, 307, 1974, 322, 264, 2654, 4302, 11, 341, 1508, 307, 611, 4888, 281, 312, 257, 29690, 5102, 13, 400, 341, 307, 264, 3410, 295, 8607, 3170, 1048, 27943, 11, 300, 291, 818, 257, 3170, 300, 307, 1400, 1314, 382, 498, 341, 3170, 307, 1974, 322, 264, 2654, 3479, 13], "avg_logprob": -0.37816456752487376, "compression_ratio": 1.7461928934010151, "no_speech_prob": 2.086162567138672e-06, "words": [{"start": 1616.9599999999998, "end": 1617.36, "word": "So", "probability": 0.315673828125}, {"start": 1617.36, "end": 1617.48, "word": " the", "probability": 0.56640625}, {"start": 1617.48, "end": 1617.66, "word": " idea", "probability": 0.75244140625}, {"start": 1617.66, "end": 1617.88, "word": " 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Here it does remote object implementation. The same object or code in the client does its implementation here, but of course there are details", "tokens": [5723, 307, 264, 6423, 13, 1692, 309, 775, 8607, 2657, 11420, 13, 440, 912, 2657, 420, 3089, 294, 264, 6423, 775, 1080, 11420, 510, 11, 457, 295, 1164, 456, 366, 4365], "avg_logprob": -0.6284179612994194, "compression_ratio": 1.4594594594594594, "no_speech_prob": 2.7418136596679688e-06, "words": [{"start": 1641.97, "end": 1642.55, "word": "This", "probability": 0.114013671875}, {"start": 1642.55, "end": 1642.55, "word": " is", "probability": 0.74609375}, {"start": 1642.55, "end": 1643.71, "word": " the", "probability": 0.7080078125}, {"start": 1643.71, "end": 1645.67, "word": " client.", "probability": 0.71484375}, {"start": 1646.41, "end": 1647.09, "word": " Here", "probability": 0.1453857421875}, {"start": 1647.09, "end": 1647.21, "word": " it", "probability": 0.4794921875}, {"start": 1647.21, "end": 1647.55, "word": " does", "probability": 0.420166015625}, {"start": 1647.55, "end": 1648.55, "word": " remote", "probability": 0.474609375}, {"start": 1648.55, "end": 1648.99, "word": " object", "probability": 0.94677734375}, {"start": 1648.99, "end": 1649.79, "word": " implementation.", "probability": 0.888671875}, {"start": 1650.13, "end": 1650.43, "word": " The", "probability": 0.460693359375}, {"start": 1650.43, "end": 1650.43, "word": " same", "probability": 0.68359375}, {"start": 1650.43, "end": 1650.93, "word": " object", "probability": 0.78759765625}, {"start": 1650.93, "end": 1651.13, "word": " or", "probability": 0.560546875}, {"start": 1651.13, "end": 1651.69, "word": " code", "probability": 0.5703125}, {"start": 1651.69, "end": 1651.95, "word": " in", "probability": 0.1888427734375}, {"start": 1651.95, "end": 1652.09, "word": " the", "probability": 0.7119140625}, {"start": 1652.09, "end": 1652.35, "word": " client", "probability": 0.89453125}, {"start": 1652.35, "end": 1652.61, "word": " does", "probability": 0.70751953125}, {"start": 1652.61, "end": 1652.77, "word": " its", "probability": 0.464111328125}, {"start": 1652.77, "end": 1653.31, "word": " implementation", "probability": 0.814453125}, {"start": 1653.31, "end": 1653.83, "word": " here,", "probability": 0.66064453125}, {"start": 1653.89, "end": 1654.01, "word": " but", "probability": 0.82861328125}, {"start": 1654.01, "end": 1654.17, "word": " of", "probability": 0.45654296875}, {"start": 1654.17, "end": 1654.27, "word": " course", "probability": 0.95263671875}, {"start": 1654.27, "end": 1654.41, "word": " there", "probability": 0.71875}, {"start": 1654.41, "end": 1654.51, "word": " are", "probability": 0.904296875}, {"start": 1654.51, "end": 1654.87, "word": " details", "probability": 0.72607421875}], "temperature": 1.0}, {"id": 67, "seek": 167818, "start": 1657.12, "end": 1678.18, "text": "Connection, Response, Request and Response are hidden from us. But in the end, the shape of the object here is the same shape as the one on the server. And this is one of the applications of the proxy pattern. Here, of course, it lists the types of proxies. We talked about them, but now it has to classify them with specific names. There is the virtual proxy. 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Or it's not true here. It's like, what does this virtual proxy mean? Delaying the creation and instantiation of expensive objects until need. Like the proxy image that we made. Why is it called virtual? Because the proxy image is not the image. The image is what I'm wrapped inside. Okay? Why did I do this? To delay the construction of the object for the time I need. Okay? 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The goal is to deal with the methods on the server as if they were on the local machine. A common example is Java RMI. This is one of the ways web services work in Java. 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Meaning that when these methods are created from this class, this object actually creates the methods on the server. 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Here it says that I have a high-resolution image. This is like an image icon. It is a costly object. Creating it takes time. Okay? This is from the interface image. I made a proxy image, implemented it to the interface and used it.", "tokens": [2278, 3256, 300, 321, 445, 1866, 575, 257, 4036, 2649, 13, 1692, 309, 1619, 300, 286, 362, 257, 1090, 12, 495, 3386, 3256, 13, 639, 307, 411, 364, 3256, 6528, 13, 467, 307, 257, 28328, 2657, 13, 40002, 309, 2516, 565, 13, 1033, 30, 639, 307, 490, 264, 9226, 3256, 13, 286, 1027, 257, 29690, 3256, 11, 12270, 309, 281, 264, 9226, 293, 1143, 309, 13], "avg_logprob": -0.6249999911037843, "compression_ratio": 1.5133689839572193, "no_speech_prob": 1.1086463928222656e-05, "words": [{"start": 1801.66, "end": 1801.92, "word": "The", "probability": 0.2447509765625}, {"start": 1801.92, "end": 1802.2, "word": " image", "probability": 0.8779296875}, {"start": 1802.2, "end": 1802.3, "word": " that", "probability": 0.4013671875}, {"start": 1802.3, "end": 1802.48, "word": " we", "probability": 0.75341796875}, {"start": 1802.48, "end": 1802.58, "word": " just", "probability": 0.119873046875}, {"start": 1802.58, "end": 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"probability": 0.56689453125}, {"start": 1814.88, "end": 1815.0, "word": " I", "probability": 0.83203125}, {"start": 1815.0, "end": 1815.3, "word": " made", "probability": 0.20703125}, {"start": 1815.3, "end": 1815.88, "word": " a", "probability": 0.9384765625}, {"start": 1815.88, "end": 1816.22, "word": " proxy", "probability": 0.9873046875}, {"start": 1816.22, "end": 1816.62, "word": " image,", "probability": 0.92919921875}, {"start": 1817.1, "end": 1817.54, "word": " implemented", "probability": 0.4169921875}, {"start": 1817.54, "end": 1817.74, "word": " it", "probability": 0.74072265625}, {"start": 1817.74, "end": 1817.8, "word": " to", "probability": 0.453369140625}, {"start": 1817.8, "end": 1817.82, "word": " the", "probability": 0.81201171875}, {"start": 1817.82, "end": 1818.36, "word": " interface", "probability": 0.50244140625}, {"start": 1818.36, "end": 1818.52, "word": " and", "probability": 0.2259521484375}, {"start": 1818.52, "end": 1818.92, "word": " used", "probability": 0.460205078125}, {"start": 1818.92, "end": 1819.54, "word": " it.", "probability": 0.79541015625}], "temperature": 1.0}, {"id": 74, "seek": 183458, "start": 1819.68, "end": 1834.58, "text": "The high-resolution image in the constructor calls load", "tokens": [2278, 1090, 12, 495, 3386, 3256, 294, 264, 47479, 5498, 3677], "avg_logprob": -0.7630208432674408, "compression_ratio": 0.9166666666666666, "no_speech_prob": 3.30805778503418e-05, "words": [{"start": 1819.68, "end": 1819.92, "word": "The", "probability": 0.374755859375}, {"start": 1819.92, "end": 1820.0, "word": " high", "probability": 0.2232666015625}, {"start": 1820.0, "end": 1820.52, "word": "-resolution", "probability": 0.7051595052083334}, {"start": 1820.52, "end": 1821.14, "word": " image", "probability": 0.77099609375}, {"start": 1821.14, "end": 1832.12, "word": " in", "probability": 0.16796875}, {"start": 1832.12, "end": 1833.16, "word": " the", "probability": 0.4384765625}, {"start": 1833.16, "end": 1833.74, "word": " constructor", "probability": 0.6689453125}, {"start": 1833.74, "end": 1834.2, "word": " calls", "probability": 0.39794921875}, {"start": 1834.2, "end": 1834.58, "word": " load", "probability": 0.603515625}], "temperature": 1.0}, {"id": 75, "seek": 184982, "start": 1835.64, "end": 1849.82, "text": "Load image is a costly method. It is what carries the object to the level. I want to delay the construction of the constructor. Show image does not take time. Because the method is actually carried in memory, so show image displays it.", "tokens": [31645, 345, 3256, 307, 257, 28328, 3170, 13, 467, 307, 437, 16402, 264, 2657, 281, 264, 1496, 13, 286, 528, 281, 8577, 264, 6435, 295, 264, 7690, 284, 13, 6895, 3256, 775, 406, 747, 565, 13, 1436, 264, 3170, 307, 767, 9094, 294, 4675, 11, 370, 855, 3256, 20119, 309, 13], "avg_logprob": -0.659254803107335, "compression_ratio": 1.5460526315789473, "no_speech_prob": 1.1324882507324219e-05, "words": [{"start": 1835.6399999999999, "end": 1836.08, "word": "Load", "probability": 0.63720703125}, {"start": 1836.08, "end": 1836.28, "word": " image", "probability": 0.7880859375}, {"start": 1836.28, "end": 1836.44, "word": " is", "probability": 0.78271484375}, {"start": 1836.44, "end": 1836.56, "word": " a", "probability": 0.5244140625}, {"start": 1836.56, "end": 1836.82, "word": " costly", "probability": 0.66015625}, {"start": 1836.82, "end": 1837.1, "word": " method.", "probability": 0.92333984375}, {"start": 1837.2, "end": 1837.24, "word": " It", "probability": 0.6083984375}, {"start": 1837.24, "end": 1837.28, "word": " is", "probability": 0.33544921875}, {"start": 1837.28, "end": 1837.34, "word": " what", "probability": 0.441650390625}, {"start": 1837.34, "end": 1837.76, "word": " carries", "probability": 0.160400390625}, {"start": 1837.76, "end": 1838.84, "word": " the", "probability": 0.63037109375}, {"start": 1838.84, "end": 1839.84, "word": " object", "probability": 0.78466796875}, {"start": 1839.84, "end": 1840.0, "word": " to", "probability": 0.45703125}, {"start": 1840.0, "end": 1840.06, "word": " the", "probability": 0.6533203125}, {"start": 1840.06, "end": 1840.24, "word": " level.", "probability": 0.241943359375}, {"start": 1840.6, "end": 1840.8, "word": " I", "probability": 0.7421875}, {"start": 1840.8, "end": 1841.06, "word": " want", "probability": 0.5263671875}, {"start": 1841.06, "end": 1841.46, "word": " to", "probability": 0.9521484375}, {"start": 1841.46, "end": 1841.46, "word": " delay", "probability": 0.6513671875}, {"start": 1841.46, "end": 1841.62, "word": " the", "probability": 0.7470703125}, {"start": 1841.62, "end": 1841.84, "word": " construction", "probability": 0.320068359375}, {"start": 1841.84, "end": 1843.08, "word": " of", "probability": 0.52099609375}, {"start": 1843.08, "end": 1843.16, "word": " the", "probability": 0.73828125}, {"start": 1843.16, "end": 1844.08, "word": " constructor.", "probability": 0.5877685546875}, {"start": 1844.32, "end": 1844.74, "word": " Show", "probability": 0.30029296875}, {"start": 1844.74, "end": 1845.12, "word": " image", "probability": 0.86767578125}, {"start": 1845.12, "end": 1845.36, "word": " does", "probability": 0.5126953125}, {"start": 1845.36, "end": 1845.52, "word": " not", "probability": 0.9365234375}, {"start": 1845.52, "end": 1845.82, "word": " take", "probability": 0.30517578125}, {"start": 1845.82, "end": 1846.04, "word": " time.", "probability": 0.1832275390625}, {"start": 1846.74, "end": 1846.94, "word": " Because", "probability": 0.5087890625}, {"start": 1846.94, "end": 1847.42, "word": " the", "probability": 0.50634765625}, {"start": 1847.42, "end": 1847.68, "word": " method", "probability": 0.9443359375}, {"start": 1847.68, "end": 1847.86, "word": " is", "probability": 0.75341796875}, {"start": 1847.86, "end": 1847.86, "word": " actually", "probability": 0.22216796875}, {"start": 1847.86, "end": 1848.12, "word": " carried", "probability": 0.2568359375}, {"start": 1848.12, "end": 1848.28, "word": " in", "probability": 0.63330078125}, {"start": 1848.28, "end": 1848.66, "word": " memory,", "probability": 0.49462890625}, {"start": 1848.86, "end": 1848.94, "word": " so", "probability": 0.53076171875}, {"start": 1848.94, "end": 1849.08, "word": " show", "probability": 0.67138671875}, {"start": 1849.08, "end": 1849.3, "word": " image", "probability": 0.91259765625}, {"start": 1849.3, "end": 1849.68, "word": " displays", "probability": 0.322265625}, {"start": 1849.68, "end": 1849.82, "word": " it.", "probability": 0.81689453125}], "temperature": 1.0}, {"id": 76, "seek": 187362, "start": 1850.86, "end": 1873.62, "text": " Now, how can I delay the creation of the high-resolution object? I will create an object called ImageProxy that also implements an image. Inside it, I have a high-resolution image. I have yet to create this null. And this is the path. Because when I create an ImageProxy, it only sends me the path of the file and stores it with it. But actually, what is this? I have yet to create a null.", "tokens": [823, 11, 577, 393, 286, 8577, 264, 8016, 295, 264, 1090, 12, 495, 3386, 2657, 30, 286, 486, 1884, 364, 2657, 1219, 29903, 12681, 12876, 300, 611, 704, 17988, 364, 3256, 13, 15123, 309, 11, 286, 362, 257, 1090, 12, 495, 3386, 3256, 13, 286, 362, 1939, 281, 1884, 341, 18184, 13, 400, 341, 307, 264, 3100, 13, 1436, 562, 286, 1884, 364, 29903, 12681, 12876, 11, 309, 787, 14790, 385, 264, 3100, 295, 264, 3991, 293, 9512, 309, 365, 309, 13, 583, 767, 11, 437, 307, 341, 30, 286, 362, 1939, 281, 1884, 257, 18184, 13], "avg_logprob": -0.5197703838348389, "compression_ratio": 1.7972350230414746, "no_speech_prob": 6.67572021484375e-06, "words": [{"start": 1850.86, "end": 1851.3, "word": " Now,", "probability": 0.11676025390625}, {"start": 1851.42, "end": 1851.62, "word": " how", "probability": 0.76708984375}, {"start": 1851.62, "end": 1851.74, "word": " can", "probability": 0.333251953125}, {"start": 1851.74, "end": 1851.92, "word": " I", "probability": 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"temperature": 1.0}, {"id": 77, "seek": 189528, "start": 1876.8, "end": 1895.28, "text": "The high-resolution image has a show image and this one also has a show image. Here in the show image, in the moment I show the picture, I tell it to go and run the high-resolution image. And then I tell it to run the show image. So look, I delayed the creation of the high-resolution image from the constructor and left it only at the execution of the show image.", "tokens": [2278, 1090, 12, 495, 3386, 3256, 575, 257, 855, 3256, 293, 341, 472, 611, 575, 257, 855, 3256, 13, 1692, 294, 264, 855, 3256, 11, 294, 264, 1623, 286, 855, 264, 3036, 11, 286, 980, 309, 281, 352, 293, 1190, 264, 1090, 12, 495, 3386, 3256, 13, 400, 550, 286, 980, 309, 281, 1190, 264, 855, 3256, 13, 407, 574, 11, 286, 20268, 264, 8016, 295, 264, 1090, 12, 495, 3386, 3256, 490, 264, 47479, 293, 1411, 309, 787, 412, 264, 15058, 295, 264, 855, 3256, 13], "avg_logprob": -0.40021307969635184, "compression_ratio": 2.0919540229885056, "no_speech_prob": 1.1682510375976562e-05, "words": [{"start": 1876.8, "end": 1877.02, "word": "The", "probability": 0.27783203125}, {"start": 1877.02, "end": 1877.18, "word": " high", "probability": 0.70654296875}, {"start": 1877.18, "end": 1877.64, "word": "-resolution", "probability": 0.7478841145833334}, {"start": 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Here I created three image proxies. These, if I want, don't take a load on the memory because I only send them paths. In fact, the load happens on the memory when I run Show Image, and this is not a problem because it shows image after image. But on the other hand, if I create high-resolution images directly, this will load in the memory, so these are costly methods because it will load the images in the memory.", "tokens": [400, 341, 307, 264, 2135, 3089, 300, 3110, 385, 264, 2649, 13, 1692, 286, 2942, 1045, 3256, 447, 87, 530, 13, 1981, 11, 498, 286, 528, 11, 500, 380, 747, 257, 3677, 322, 264, 4675, 570, 286, 787, 2845, 552, 14518, 13, 682, 1186, 11, 264, 3677, 2314, 322, 264, 4675, 562, 286, 1190, 6895, 29903, 11, 293, 341, 307, 406, 257, 1154, 570, 309, 3110, 3256, 934, 3256, 13, 583, 322, 264, 661, 1011, 11, 498, 286, 1884, 1090, 12, 495, 3386, 5267, 3838, 11, 341, 486, 3677, 294, 264, 4675, 11, 370, 613, 366, 28328, 7150, 570, 309, 486, 3677, 264, 5267, 294, 264, 4675, 13], "avg_logprob": -0.5054472389571164, "compression_ratio": 1.8365758754863812, "no_speech_prob": 2.8014183044433594e-06, "words": [{"start": 1895.94, "end": 1896.18, "word": " And", "probability": 0.24462890625}, {"start": 1896.18, "end": 1896.42, 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For example, we talked about the decorator. Let's start with the one below. What is the difference between the proxy and the decorator? Both have the same principle of operation. An object wraps an object inside, and both of them are of the same type. But the goal is different. The decorator added this functionality to control the object. And this is the same thing that is present here. Because there is another one that also wraps, which is the adapter.", "tokens": [2278, 1036, 935, 294, 264, 29690, 486, 4994, 291, 490, 264, 29690, 5102, 293, 512, 295, 264, 3894, 1715, 8294, 300, 321, 1890, 13, 1171, 1365, 11, 321, 2825, 466, 264, 7919, 1639, 13, 961, 311, 722, 365, 264, 472, 2507, 13, 708, 307, 264, 2649, 1296, 264, 29690, 293, 264, 7919, 1639, 30, 6767, 362, 264, 912, 8665, 295, 6916, 13, 1107, 2657, 25831, 364, 2657, 1854, 11, 293, 1293, 295, 552, 366, 295, 264, 912, 2010, 13, 583, 264, 3387, 307, 819, 13, 440, 7919, 1639, 3869, 341, 14980, 281, 1969, 264, 2657, 13, 400, 341, 307, 264, 912, 551, 300, 307, 1974, 510, 13, 1436, 456, 307, 1071, 472, 300, 611, 25831, 11, 597, 307, 264, 22860, 13], "avg_logprob": -0.43493853436141716, "compression_ratio": 1.832807570977918, "no_speech_prob": 2.205371856689453e-06, "words": [{"start": 1925.99, "end": 1926.19, "word": "The", "probability": 0.189697265625}, {"start": 1926.19, "end": 1926.35, "word": " last", "probability": 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The type of adapter is different from the type of object that is wrapped. But in the proxy and decorator, the type of class, which is the wrapper, whether it is decorator or proxy, is the same type of object that is wrapped. This is the difference here. This tells me that the adapter implements a different interface to the object it adapts. Okay, guys? Okay, so we have completed the proxy pattern. We will stop here for today. 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