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48 lines
1.1 KiB
Python
48 lines
1.1 KiB
Python
import numpy as np
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import pyerrors as pe
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import pytest
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np.random.seed(0)
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length = 1000
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def mul(x, y):
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return x * y
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def test_b_mul(benchmark):
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my_obs = pe.Obs([np.random.rand(length)], ['t1'])
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benchmark(mul, my_obs, my_obs)
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def test_b_cmul(benchmark):
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my_obs = pe.CObs(pe.Obs([np.random.rand(length)], ['t1']),
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pe.Obs([np.random.rand(length)], ['t1']))
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benchmark(mul, my_obs, my_obs)
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def test_b_matmul(benchmark):
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dim = 4
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my_list = []
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for i in range(dim ** 2):
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my_list.append(pe.Obs([np.random.rand(length)], ['t1']))
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my_array = np.array(my_list).reshape((dim, dim))
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benchmark(pe.linalg.matmul, my_array, my_array)
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def test_b_cmatmul(benchmark):
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dim = 4
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my_list = []
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for i in range(dim ** 2):
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my_list.append(pe.CObs(pe.Obs([np.random.rand(length)], ['t1']),
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pe.Obs([np.random.rand(length)], ['t1'])))
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my_array = np.array(my_list).reshape((dim, dim))
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benchmark(pe.linalg.matmul, my_array, my_array)
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def test_b_gamma(benchmark):
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my_obs = pe.Obs([np.random.rand(length)], ['t1'])
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benchmark(my_obs.gamma_method)
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