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Content Can the audio be boosted? watched it live and there was no issue with the audio volume. vor 5 Stunden 4 81 4 E 3 C You can run the following javascript to boost the video volume: var audioCtx new AudioContext); var source audioCtx.createMediaElementSource(docu ment.getElementsByClassName(video- stream html5-main-video) 0); var gainNode audioCtx.createGain); gainNode.gain.value 10; source. connect(gainNode; gainNode.connect(audioCtx.destination); vor 3 Stunden (bearbeitet) 16 5 1 colluder OK, what can normal people do? vor 2 Stunden 16 22 1 E

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Content S can you make soft pretzels with the following ingredients? flour, baking powder, salt, greek yogurt? Yes, you can make soft pretzels with those ingredients! Here's a simple recipe: python Copy code import numpy as np def makesoftpretzels(flour, baking powder, salt, greek yogurt) : Combine dry ingredients dryingredients np.array(flour, baking powder, salt) dough - np. sum(dryingredients) Add greek yogurt to form dough dough greek yogurt Knead dough for about 5-10 minutes until smooth knead time - 10 minutes dough kneaded - dough knead time Shape into pretzels pretzels - np.array (dough kneaded) return pretzels Example usage pretzel dough - make softpretzels(2, 1, 0.5, 1) quantities in cups print("Soft pretzel dough prepared:", pretzel dough) Instructions: 1. Preheat the oven to 425F (220C). 2. Mix 2 cups of flour, 1 tablespoon of baking powder, and 0.5 teaspoons of salt in a bowl. 3. Add 1 cup of Greek yogurt and mix until it forms a dough.

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The Python GIL strikes again! Python's Global Interpreter Lock is like that one coworker who insists they're a "team player" but refuses to let anyone else touch their code. Sure, Python has threads, but they're essentially taking turns using the CPU instead of running simultaneously—like standing in line at the coffee machine instead of everyone making their own coffee. The sarcastic "that's really the most important part" is pure chef's kiss for any developer who's watched their multi-threaded Python program run barely faster than the single-threaded version. For serious parallelism, you'll need multiprocessing or asyncio, because Python threads are just playing pretend!