importnumpyasnp defgenerate_random_matrix(width,height): random_matrix=np.random.rand(height,width)*2-1 print("\nСгенерированнаяматрица:") print(random_matrix) print(f"\nМаксимальноезна
Compare the cross product output with manual computations on two 3D vectors. Apply the outer product function on arrays with varying lengths to observe the resulting 2D matrix shape. Go to: NumPy Mathematics Exercises Home ↩ NumPy Exercises Home ↩ PREV :Inner Product of Arrays NEXT :Matrix ...
这个重复惩罚参数也比较容易理解,通过修改生成文本时的概率分布来实现的, repetition_penalty的目标是在这个概率分布中对先前生成过的token,又重复的生成了该token进行惩罚(降低概率),以减少生成文本中的重复性,简单实现如下: importnumpyasnpdefapply_repetition_penalty(probs,repetition_penalty,prev_tokens):adjusted_pr...
sampleMatrix[(i, j)] = u(points[i]) u_vec[:] =0 returnsampleMatrix The following program illustrates the effectiveness of the above program. importfenicsasfe importnumpyasnp mesh = fe.UnitSquareMesh(10,10) V = fe.FunctionSpace(mesh,'P',1) u_D = fe.Expression('1+x[0]*x[0]+2...
import numpy as np # generate a random 1D array of floats between 0 and 1 random_array = np.random.rand(10) print("A random array using the rand() function:") print(random_array) print() # generate a random 2D array of integers between two values (inclusive) random_matrix = np.ran...
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libmatrix.pic.a bazel-out/k8-opt/bin/external/xla/xla/hlo/builder/lib/libslicing.pic.a bazel-out/k8-opt/bin/external/xla/xla/hlo/builder/lib/libarithmetic.pic.a bazel-out/k8-opt/bin/external/xla/xla/service/libreal_imag_expander.pic.a bazel-out/k8-opt/bin/external/xla/xla/service/...
Using numpy.linspace() method. Using numpy.arange() method. Using list comprehension. Using generator comprehension. Using yield generator. Using a user-defined function Using the itertools module and its functions. Using the map() function along with a lambda function. Using round() function. ...
0 - This is a modal window. No compatible source was found for this media. Generate a Pseudo Vandermonde matrix of the Hermite_e polynomial and x, y, z complex array of points in Python Kickstart YourCareer Get certified by completing the course ...
For program understanding and debugging, thememory_graphpackage can visualize your data, supporting many different data types, including but not limited to: importmemory_graphasmgclassMyClass:def__init__(self,x,y):self.x=xself.y=ydata=[range(1,2), (3,4), {5,6}, {7:'seven',8:'ei...