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| using Random | |
| using StaticArrays | |
| using LinearAlgebra | |
| using DelimitedFiles | |
| using ThreadPools | |
| using Printf | |
| using CellListMap.PeriodicSystems | |
| import CellListMap.PeriodicSystems: copy_output, reset_output!, reducer | |
| struct Parameters |
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| import numpy as np | |
| from scipy.fft import fft | |
| def clenshaw_curtis(f, a, b, n): | |
| # Obtain Chebyshev points | |
| x = np.cos(np.pi * np.arange(n + 1) / n) | |
| # Rescale the points to the interval | |
| scaled_x = ((a + b) + ((b - a) * x)) * 0.5 | |
| # Evalute the integrand |
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| function blockjonsson(a::AbstractArray) | |
| d = log2(length(a)) | |
| x = copy(a) | |
| if (d - floor(d)) != 0 | |
| @info "Warning: Data size = $(floor(2^d)), is not a power of 2." | |
| @info "Truncating data to $(2^floor(d))." | |
| x = x[1:(2^round(Int, floor(d)))] | |
| end | |
| d = round(Int, floor(d)) | |
| n = 2^d |
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| function four1!(data, nn, isign) | |
| n = Int(2 * nn) | |
| j = 1 | |
| for i = 1:2:n | |
| if j > i | |
| tempr = data[j] | |
| tempi = data[j + 1] | |
| data[j] = data[i] | |
| data[j + 1] = data[i + 1] |
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| BootStrap: library | |
| From: ubuntu:20.04 | |
| %post | |
| export PATH=/julia-1.5.3/bin:$PATH | |
| apt-get -y update | |
| # install some basic tools | |
| apt-get -y install curl tar gzip git |
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| BootStrap: library | |
| From: ubuntu:16.04 | |
| %post | |
| export PATH=/julia-1.5.3/bin:$PATH | |
| export LD_LIBRARY_PATH=/julia-1.5.3/lib:/julia-1.5.3/lib/julia:$LD_LIBRARY_PATH | |
| export LC_ALL=C | |
| apt-get -y update |
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| import tensorflow as tf | |
| import tensorflow.keras as K | |
| import numpy as np | |
| # Load the MNIST data and show the shape, should be (60000, 28, 28) | |
| mnist = K.datasets.mnist | |
| (x_train, y_train), (x_test, y_test) = mnist.load_data() | |
| print(x_train.shape) |
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| import os | |
| import sys | |
| def some_seed(): | |
| seed = int.from_bytes(os.urandom(7), sys.byteorder) | |
| return seed |
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| # Configuration for Alacritty, the GPU enhanced terminal emulator. | |
| # Any items in the `env` entry below will be added as | |
| # environment variables. Some entries may override variables | |
| # set by alacritty itself. | |
| #env: | |
| # TERM variable | |
| # | |
| # This value is used to set the `$TERM` environment variable for | |
| # each instance of Alacritty. If it is not present, alacritty will |
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| import hashlib, binascii, os | |
| def hash_password(password): | |
| """Hash a password for storing.""" | |
| salt = hashlib.sha256(os.urandom(60)).hexdigest().encode("ascii") | |
| pwdhash = hashlib.pbkdf2_hmac("sha512", password.encode("utf-8"), | |
| salt, 100000) | |
| pwdhash = binascii.hexlify(pwdhash) | |
| return (salt + pwdhash).decode("ascii") |