500 行无注释空行的 Python 科学计算代码大揭秘

以下是为您生成的一段约 500 行的 Python 代码，使用了一些常见的科学计算库和函数，但没有注释和空行： ```python import numpy as np import matplotlib.pyplot as plt def scientific_calculation(): x = np.linspace(0, 2 * np.pi, 1000) y1 = np.sin(x) y2 = np.cos(x) y3 = np.tan(x) y4 = np.exp(x) y5 = np.log(x) y6 = np.sqrt(x) y7 = x 2 y8 = x 3 y9 = 1 / x y10 = np.abs(x) y11 = np.floor(x) y12 = np.ceil(x) y13 = np.round(x) y14 = np.sign(x) y15 = np.heaviside(x, 0.5) y16 = np.arcsin(x) y17 = np.arccos(x) y18 = np.arctan(x) y19 = np.sinh(x) y20 = np.cosh(x) y21 = np.tanh(x) y22 = np.arcsinh(x) y23 = np.arccosh(x) y24 = np.arctanh(x) y25 = np.gamma(x) y26 = np.lgamma(x) y27 = np.erf(x) y28 = np.erfc(x) y29 = np.besselj(0, x) y30 = np.besselj(1, x) y31 = np.bessely(0, x) y32 = np.bessely(1, x) y33 = np.besselh(0, x) y34 = np.besselh(1, x) y35 = np.legendre(0, x) y36 = np.legendre(1, x) y37 = np.chebyshev_T(0, x) y38 = np.chebyshev_T(1, x) y39 = np.chebyshev_U(0, x) y40 = np.chebyshev_U(1, x) y41 = np.hermite(0, x) y42 = np.hermite(1, x) y43 = np.laguerre(0, x) y44 = np.laguerre(1, x) y45 = np.spherical_jn(0, x) y46 = np.spherical_jn(1, x) y47 = np.spherical_yn(0, x) y48 = np.spherical_yn(1, x) y49 = np.zeta(x) y50 = np.riemann_zeta(x) y51 = np.digamma(x) y52 = np.trigamma(x) y53 = np.polygamma(0, x) y54 = np.polygamma(1, x) y55 = np.cluster(x) y56 = np.difference(x) y57 = np.convolve(x, x) y58 = np.correlate(x, x) y59 = np.fft(x) y60 = np.ifft(x) y61 = np.fftshift(x) y62 = np.ifftshift(x) y63 = np.hilbert(x) y64 = np.spline(x, x) y65 = np.interp(x, x, x) y66 = np.extrapolate(x, x) y67 = np.polyfit(x, x, 1) y68 = np.polyval(y67, x) y69 = np.roots(y67) y70 = np.polyder(y67) y71 = np.polyint(y67) y72 = np.linalg.det(np.eye(5)) y73 = np.linalg.inv(np.eye(5)) y74 = np.linalg.eig(np.eye(5)) y75 = np.linalg.svd(np.eye(5)) y76 = np.linalg.norm(x) y77 = np.dot(x, x) y78 = np.cross(x, x) y79 = np.inner(x, x) y80 = np.outer(x, x) y81 = np.kron(x, x) y82 = np.trace(np.eye(5)) y83 = np.diag(x) y84 = np.vander(x) y85 = np.hstack((x, x)) y86 = np.vstack((x, x)) y87 = np.dstack((x, x)) y88 = np.split(x, 5) y89 = np.array_split(x, 5) y90 = np.hsplit(x, 5) y91 = np.vsplit(x, 5) y92 = np.concatenate((x, x)) y93 = np.flip(x) y94 = np.roll(x, 5) y95 = np.sort(x) y96 = np.argsort(x) y97 = np.unique(x) y98 = np.in1d(x, x) y99 = np.setdiff1d(x, x) y100 = np.intersect1d(x, x) y101 = np.union1d(x, x) y102 = np.isnan(x) y103 = np.isinf(x) y104 = np.allclose(x, x) y105 = np.array_equal(x, x) y106 = np.logical_and(x, x) y107 = np.logical_or(x, x) y108 = np.logical_xor(x, x) y109 = np.logical_not(x) y110 = np.bitwise_and(x, x) y111 = np.bitwise_or(x, x) y112 = np.bitwise_xor(x, x) y113 = np.bitwise_not(x) y114 = np.left_shift(x, 5) y115 = np.right_shift(x, 5) y116 = np.max(x) y117 = np.min(x) y118 = np.mean(x) y119 = np.median(x) y120 = np.std(x) y121 = np.var(x) y122 = np.cumsum(x) y123 = np.cumprod(x) y124 = np.diff(x) y125 = np.ediff1d(x) y126 = np.nanmax(x) y127 = np.nanmin(x) y128 = np.nanmean(x) y129 = np.nanmedian(x) y130 = np.nanstd(x) y131 = np.nanvar(x) y132 = np.nancumsum(x) y133 = np.nancumprod(x) y134 = np.nandiff(x) y135 = np.nanediff1d(x) y136 = np.percentile(x, 50) y137 = np.quantile(x, 0.5) y138 = np.fix(x) y139 = np.mod(x, 5) y140 = np.fmod(x, 5) y141 = np.remainder(x, 5) y142 = np.divmod(x, 5) y143 = np.deg2rad(x) y144 = np.rad2deg(x) y145 = np.unwrap(x) y146 = np.angle(x) y147 = np.abs(x) y148 = np.real(x) y149 = np.imag(x) y150 = np.conj(x) y151 = np.expand_dims(x, 0) y152 = np.squeeze(x) y153 = np.reshape(x, (5, 5)) y154 = np.transpose(x) y155 = np.swapaxes(x, 0, 1) y156 = np.flatnonzero(x) y157 = np.nonzero(x) y158 = np.count_nonzero(x) y159 = np.argmax(x) y160 = np.argmin(x) y161 = np.searchsorted(x, 0.5) y162 = np.argwhere(x > 0) y163 = np.where(x > 0, x, 0) y164 = np.select([x > 0, x < 0], [x, -x], 0) y165 = np.meshgrid(x, x) y166 = np.mgrid[0:5, 0:5] y167 = np.ogrid[0:5, 0:5] y168 = np.indices((5, 5)) y169 = np.fill(x, 5) y170 = np.copy(x) y171 = np.deepcopy(x) y172 = np.loadtxt('data.txt') y173 = np.savetxt('data.txt', x) y174 = np.genfromtxt('data.txt') y175 = np.fromfile('data.bin', dtype=np.float64) y176 = np.tofile('data.bin', x) y177 = np.load('data.npy') y178 = np.save('data.npy', x) y179 = np.random.rand(5, 5) y180 = np.random.randn(5, 5) y181 = np.random.randint(0, 10, (5, 5)) y182 = np.random.choice(x, 5) y183 = np.random.shuffle(x) y184 = np.random.permutation(x) y185 = np.random.seed(0) y186 = np.random.normal(0, 1, (5, 5)) y187 = np.random.uniform(0, 1, (5, 5)) y188 = np.random.exponential(1, (5, 5)) y189 = np.random.poisson(5, (5, 5)) y190 = np.random.binomial(5, 0.5, (5, 5)) y191 = np.random.multivariate_normal([0, 0], [[1, 0], [0, 1]], (5, 5)) y192 = np.random.rayleigh(1, (5, 5)) y193 = np.random.chisquare(5, (5, 5)) y194 = np.random.f(5, 5, (5, 5)) y195 = np.random.t(5, (5, 5)) y196 = np.random.geometric(0.5, (5, 5)) y197 = np.random.hypergeometric(5, 5, 5, (5, 5)) y198 = np.random.logistic(0, 1, (5, 5)) y199 = np.random.laplace(0, 1, (5, 5)) y200 = np.random.gumbel(0, 1, (5, 5)) y201 = np.random.weibull(1, (5, 5)) y202 = np.random.pareto(1, (5, 5)) y203 = np.random.bernoulli(0.5, (5, 5)) y204 = np.random.lognormal(0, 1, (5, 5)) y205 = np.random.cauchy(0, 1, (5, 5)) y206 = np.random.vonmises(0, 1, (5, 5)) y207 = np.random.wald(1, 1, (5, 5)) y208 = np.random.knuth_xi(5, (5, 5)) y209 = np.random.zipf(2, (5, 5)) y210 = np.random.power(2, (5, 5)) y211 = np.random.negative_binomial(5, 0.5, (5, 5)) y212 = np.random.planck(1, (5, 5)) y213 = np.random.levy(1, (5, 5)) y214 = np.random.studentized_range(5, (5, 5)) y215 = np.random.pearson3(1, 1, (5, 5)) y216 = np.random.gamma(1, 1, (5, 5)) y217 = np.random.beta(1, 1, (5, 5)) y218 = np.random.dirichlet([1, 1, 1], (5, 5)) y219 = np.random.multinomial(5, [0.2, 0.3, 0.5], (5, 5)) y220 = np.random.multivariate_hypergeometric(5, [5, 5, 5], (5, 5)) y221 = np.random.multivariate_t([0, 0], [[1, 0], [0, 1]], 5, (5, 5)) y222 = np.random.wishart(5, [[1, 0], [0, 1]], (5, 5)) y223 = np.random.invwishart(5, [[1, 0], [0, 1]], (5, 5)) y224 = np.random.invgamma(1, 1, (5, 5)) y225 = np.random.invweibull(1, 1, (5, 5)) y226 = np.random.gengamma(1, 1, 1, (5, 5)) y227 = np.random.gilbrat(1, (5, 5)) y228 = np.random.frank(1, 1, (5, 5)) y229 = np.random.johnsonsu(1, 1, 1, (5, 5)) y230 = np.random.johnsonsb(1, 1, 1, (5, 5)) y231 = np.random.kumaraswamy(1, 1, (5, 5)) y232 = np.random.logistic_locscl(0, 1, (5, 5)) y233 = np.random.maxwell(1, (5, 5)) y234 = np.random.nakagami(1, 1, (5, 5)) y235 = np.random.ncx2(1, 1, 1, (5, 5)) y236 = np.random.ncf(1, 1, 1, (5, 5)) y237 = np.random.nct(1, 1, 1, (5, 5)) y238 = np.random.pareto2(1, 1, (5, 5)) y239 = np.random.rayleigh_gen(1, (5, 5)) y240 = np.random.skewnorm(1, 1, 1, (5, 5)) y241 = np.random.triangular(0, 1, 0.5, (5, 5)) y242 = np.random.tukeylambda(1, 1, (5, 5)) y243 = np.random.vonmises_line(1, 1, (5, 5)) y244 = np.random.wrapcauchy(1 ######[AI写代码神器 | 4096点数解答 | 2024-11-04 14:22:04]