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| conspire me the FUCK up ✈🏢✈🏢✈🏢✈🏢✈🏢 bush did 9/11✈ bush ✔ did it✈🏢blew up✈🏢the towers✈🏢🏢🌏 the✔towers ✔✔if i do ƽaү so my self 👀 watch loose change 👀 how did tower seven collapse tower seven tower seven (chorus: tower seven) mMMMMᎷМ🌏 👌👌 👌НO0ОଠOOOOOОଠଠOoooᵒᵒᵒᵒᵒᵒᵒᵒᵒ👌 👌👌 👌 🌏 ✈ 🏢 🏢 👀 👌👌bush did it | |
| What the fuck did you just fucking say about me, you НO0ОଠOOOOOОଠଠOoooᵒᵒᵒᵒᵒᵒᵒᵒᵒ? I’ll have you know I graduated top of my class in the 👌👀 good shit go౦ԁ sHit👌 academy, and I’ve been involved in numerous secret raids on 👎Baaddd ShIT👎👎👎 👎, and I have over 300 confirmed (chorus: ʳᶦᵍʰᵗ ᵗʰᵉʳᵉ)👌👀. I am trained in 👌👀👌👀👌👀👌👀👌👀 warfare and I’m the top shiter in the entire US armed mMMMMᎷМ💯 👌. You are nothing to me but just another Baaa AaAadDddD Sh1t 👎. I will wipe you the fuck out with precision the likes of which has never been seen before on this Earth, 💯 thats what im talking about right there right there . You think you can get away with saying that shit to me over the Internet? Think again, fucker. As we speak I am contacting |
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| from mpl_toolkits.mplot3d import Axes3D | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| import scipy.optimize | |
| d=np.array([5, 15, 25, 10, 20, 30])/10e3 | |
| v=np.array([3.14,2.44,1.30, 2.9, 1.92, 0.16]) | |
| def lin(x, a, b): | |
| return a+b*x |
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| pts = [[0.307201, -0.0120452], [0.142317, | |
| 0.282519], [-0.0341404, -0.363757], [-0.299668, | |
| 0.118691], [-0.320656, -0.0991055], [-0.0500675, -0.206753], | |
| [-0.517559, 0.262643], [-0.306476, | |
| 0.608881], [0.0285123, -0.377378], [-0.268325, 0.199713], [0.42697, | |
| 0.450626], [-0.379635, 0.579737], [0.473411, | |
| 0.000481964], [0.0134005, -0.265615], [-0.0490208, | |
| 0.1905], [-0.340927, 0.310486], [0.184435, 0.093945], [-0.101716, | |
| 0.304049], [-0.30853, 0.291302], [0.389077, | |
| 0.518985], [0.0274738, -0.428668], [-0.445044, |
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| Every programmer occasionally, when nobody's home, turns off the lights, pours a glass of scotch, puts on some light German electronica, and opens up a file on their computer. It's a different file for every programmer. Sometimes they wrote it, sometimes they found it and knew they had to save it. They read over the lines, and weep at their beauty, then the tears turn bitter as they remember the rest of the files and the inevitable collapse of all that is good and true in the world. | |
| This file is Good Code. It has sensible and consistent names for functions and variables. It's concise. It doesn't do anything obviously stupid. It has never had to live in the wild, or answer to a sales team. It does exactly one, mundane, specific thing, and it does it well. It was written by a single person, and never touched by another. It reads like poetry written by someone over thirty. |
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| import pylab | |
| from Tkinter import * | |
| from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg | |
| from matplotlib.figure import Figure | |
| from mpl_toolkits.mplot3d import Axes3D | |
| from matplotlib import cm | |
| import numpy as np | |
| class ParticleMotion: | |
| def __init__(self, master): |
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| (lambda __builtin__: (lambda __print, __y, __d: [[[[[[[[[[(lambda __after: (lambda __after: (lambda ___: __after(__d))(__print('Usage: python main.py inputfilename [outputfilename]')) if __d.len(__d.sys.argv)<=1 else [(lambda __after: [__after(__d) for __d.outfilename in [(__d.sys.argv[2])]][0] if __d.len(__d.sys.argv)>=3 else (lambda __after: [__after(__d) for __d.outfilename in [('.ol.py'.join(__d.infilename.rsplit('.py',1)))]][0] if '.py' in __d.infilename else [__after(__d) for __d.outfilename in [((__d.infilename+'.ol.py'))]][0])(lambda __d: (lambda ___: __after(__d))(__print(('Writing to %s'%__d.outfilename)))))(lambda __d: [[[[(lambda ___: (lambda __after: (lambda ___: (lambda ___: (lambda ___: (lambda ___: __after(__d))(__print(__d.onelined)))(__print('--- ONELINED ---------------------------------')))(__print(__d.original)))(__print('--- ORIGINAL ---------------------------------')) if __d.VERBOSE else __after(__d))(lambda __d: __after(__d)))(__d.outfi.write((__d.onelined+'\n'))) for __d.onelined in |
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| """Trivial app to change the volume of my denon reciever from my laptop. | |
| """ | |
| import telnetlib | |
| import sys | |
| if __name__ == "__main__": | |
| if len(sys.argv) < 2: | |
| print("""USAGE: dvol [0-100]""") |
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| # curvefit .py Problem Sheet 5 example | |
| import numpy as np | |
| from scipy.optimize import curve_fit | |
| import matplotlib.pyplot as plt | |
| def func(x, a, b, c): | |
| return a*np.exp(-b*x) + c # function to generate data for curve fit | |
| # The first part of this program generates a set of data that follows a particular functional form that allows us to test the curvefit routine | |
| x = np.linspace(0, 4, 50) | |
| y = func(x, 3.0, 1.3, 5) | |
| yn = y + 0.2*np.random.normal(size=len(x)) # adding some noise to the data points |
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| Unable to handle kernel paging request at virtual address 6528d77c | |
| pgd = 5bbc0000 | |
| [6528d77c] *pgd=00000000 | |
| Internal error: Oops - BUG: 5 [#1] PREEMPT SMP ARM | |
| Modules linked in: zynq_remoteproc remoteproc virtio virtio_ring | |
| CPU: 0 PID: 1637 Comm: modprobe Not tainted 3.19.0-xilinx #1 | |
| Hardware name: Xilinx Zynq Platform | |
| task: 5d65c580 ti: 5bb0a000 task.ti: 5bb0a000 | |
| PC is at put_pid+0x10/0x54 | |
| LR is at __fput+0x11c/0x1a8 |
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| typedef struct actionTable { | |
| uint64_t nanos; // ulong max 4.9secs, ull max = 584 years | |
| XTime clocks; | |
| uint32_t pins; | |
| uint32_t a1; | |
| uint32_t a2; | |
| } actionTable_t; | |
| (XTime = u64) | |
| niave assumption: that this is of size 8 + 8 + 4 + 4 + 4 = 28 |