1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203
|
'''Chemical Engineering Design Library (ChEDL). Utilities for process modeling.
Copyright (C) 2021, 2023 Caleb Bell <Caleb.Andrew.Bell@gmail.com>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
'''
from math import exp, hypot, isinf, isnan, log
from fluids.numerics import assert_close, comb
from fluids.numerics.special import py_cacos, py_catanh, py_hypot, trunc_exp, trunc_log
def test_hypot():
values = [(.5, -1), (-.5, 1), (100, -100), (-100, 100)]
rtol = 1e-14
for (x, y) in values:
assert_close(py_hypot(x, y), hypot(x, y), rtol=rtol)
def test_trunc_exp():
for v in (-1e100, -1e-10, -1e-1, 0.0, 0.1, 10.0, 300.0, 709.782712893384):
assert_close(trunc_exp(v), exp(v), atol=0.0, rtol=0.0)
assert trunc_exp(1000.0) >= exp(709.0)
assert not isnan(trunc_exp(1000.0))
assert not isinf(trunc_exp(1000.0))
def test_trunc_log():
for v in (5e-324, 1e-100, 1e-10, 0.1, 10.0, 300.0, 1e10, 1e100, 3e300):
assert_close(trunc_log(v), log(v), atol=0.0, rtol=0.0)
assert not isnan(trunc_log(0.0))
assert not isinf(trunc_log(0.0))
assert trunc_log(0.0) < trunc_log(1e-100)
def test_py_cacos():
# Missed a asinh in this case
assert_close(py_cacos(1.0000000000000033), 8.16170211889097e-08j, rtol=1e-11)
def test_py_catanh():
from cmath import atanh as catanh
tests = [(-9.8813129168249309e-324, 0.0),
(-9.8813129168249309e-324, -0.0),
(-1e-305, 0.0),
(-1e-305, -0.0),
(-1e-150, 0.0),
(-1e-150, -0.0),
(-9.9999999999999998e-17, 0.0),
(-9.9999999999999998e-17, -0.0),
(-0.001, 0.0),
(-0.001, -0.0),
(-0.57899999999999996, 0.0),
(-0.57899999999999996, -0.0),
(-0.99999999999999989, 0.0),
(-0.99999999999999989, -0.0),
(-1.0000000000000002, 0.0),
(-1.0000000000000002, -0.0),
(-1.0009999999999999, 0.0),
(-1.0009999999999999, -0.0),
(-2.0, 0.0),
(-2.0, -0.0),
(-23.0, 0.0),
(-23.0, -0.0),
(-10000000000000000.0, 0.0),
(-10000000000000000.0, -0.0),
(-9.9999999999999998e+149, 0.0),
(-9.9999999999999998e+149, -0.0),
(-1.0000000000000001e+299, 0.0),
(-1.0000000000000001e+299, -0.0),
(9.8813129168249309e-324, 0.0),
(9.8813129168249309e-324, -0.0),
(1e-305, 0.0),
(1e-305, -0.0),
(1e-150, 0.0),
(1e-150, -0.0),
(9.9999999999999998e-17, 0.0),
(9.9999999999999998e-17, -0.0),
(0.001, 0.0),
(0.001, -0.0),
(0.57899999999999996, 0.0),
(0.57899999999999996, -0.0),
(0.99999999999999989, 0.0),
(0.99999999999999989, -0.0),
(1.0000000000000002, 0.0),
(1.0000000000000002, -0.0),
(1.0009999999999999, 0.0),
(1.0009999999999999, -0.0),
(2.0, 0.0),
(2.0, -0.0),
(23.0, 0.0),
(23.0, -0.0),
(10000000000000000.0, 0.0),
(10000000000000000.0, -0.0),
(9.9999999999999998e+149, 0.0),
(9.9999999999999998e+149, -0.0),
(1.0000000000000001e+299, 0.0),
(1.0000000000000001e+299, -0.0),
(-0.54460925980633501, -0.54038050126721027),
(-1.6934614269829051, -0.48807386108113621),
(-1.3467293985501207, -0.47868354895395876),
(-5.6142232418984888, -544551613.39307702),
(-0.011841460381263651, -3.259978899823385),
(-0.0073345736950029532, 0.35821949670922248),
(-13.866782244320014, 0.9541129545860273),
(-708.59964982780775, 21.984802159266675),
(-30.916832076030602, 1.3691897138829843),
(-0.57461806339861754, 0.29534797443913063),
(0.40089246737415685, -1.632285984300659),
(2119.6167688262176, -1.5383653437377242e+17),
(756.86017850941641, -6.6064087133223817),
(4.0490617718041602, -2.5784456791040652e-12),
(10.589254957173523, -0.13956391149624509),
(1.0171187553160499, 0.70766113465354019),
(0.031645502527750849, 0.067319983726544394),
(0.13670177624994517, 0.43240089361857947),
(0.64173899243596688, 2.9008577686695256),
(0.19313813528025942, 38.799619150741869),
(5.3242646831347954e+307, 1.3740396080084153e+308),
(1.158701641241358e+308, -6.5579268873375853e+307),
(-1.3435325735762247e+308, 9.8947369259601547e+307),
(-1.4359857522598942e+308, -9.4701204702391004e+307),
(0.0, 5.6614181068098497e+307),
(-0.0, 6.9813212721450139e+307),
(0.0, -7.4970613060311453e+307),
(-0.0, -1.5280601880314068e+308),
(8.2219472336000745e+307, 0.0),
(1.4811519617280899e+308, -0.0),
(-1.2282016263598785e+308, 0.0),
(-1.0616427760154426e+308, -0.0),
(1.2971536510180682e+308, 5.2847948452333293),
(1.1849860977411851e+308, -7.9781906447459949),
(-1.4029969422586635e+308, 0.93891986543663375),
(-4.7508098912248211e+307, -8.2702421247039908),
(8.2680742115769998, 8.1153898410918065e+307),
(1.2575325146218885, -1.4746679147661649e+308),
(-2.4618803682310899, 1.3781522717005568e+308),
(-4.0952386694788112, -1.231083376353703e+308),
(3.8017563659811628e-314, 2.6635484239074319e-312),
(1.7391110733611878e-321, -4.3547800672541419e-313),
(-5.9656816081325078e-317, 9.9692253555416263e-313),
(-6.5606671178400239e-313, -2.1680936406357335e-309),
(0.0, 2.5230944401820779e-319),
(-0.0, 5.6066569490064658e-320),
(0.0, -2.4222487249468377e-317),
(-0.0, -3.0861101089206037e-316),
(3.1219222884393986e-310, 0.0),
(9.8926337564976196e-309, -0.0),
(-1.5462535092918154e-312, 0.0),
(-9.8813129168249309e-324, -0.0),
(1.0, 1e-153),
(1.0, 9.9999999999999997e-155),
(-1.0, 1e-161),
(1.0, -1e-165),
(-1.0, -9.8813129168249309e-324)]
rtol = 1e-13
atol = 0.0
for (real, imag) in tests:
res_good = catanh(real + imag*1j)
res_implemented = py_catanh(real + imag*1j)
assert_close(res_good.real, res_implemented.real, rtol=rtol, atol=atol)
assert_close(res_good.imag, res_implemented.imag, rtol=rtol, atol=atol)
# Windows 2.7 fails on Appveyor
# assert res_good.real == res_implemented.real
# assert res_good.imag == res_implemented.imag
def test_py_factorial():
import math
from fluids.numerics.special import py_factorial
for i in range(30):
assert math.factorial(i) == py_factorial(i)
def test_py_comb():
from fluids.numerics.special import py_comb
max_n = 20
max_k = 30
for n in range(max_n):
for k in range(max_k):
test, good = py_comb(n, k), comb(n,k)
assert test == good
|