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1# Copyright (c) 2010 Python Software Foundation. All Rights Reserved.
2# Adapted from Python's Lib/test/test_strtod.py (by Mark Dickinson)
3
4# More test cases for deccheck.py.
5
6import random
7
8TEST_SIZE = 2
9
10
11def test_short_halfway_cases():
12    # exact halfway cases with a small number of significant digits
13    for k in 0, 5, 10, 15, 20:
14        # upper = smallest integer >= 2**54/5**k
15        upper = -(-2**54//5**k)
16        # lower = smallest odd number >= 2**53/5**k
17        lower = -(-2**53//5**k)
18        if lower % 2 == 0:
19            lower += 1
20        for i in range(10 * TEST_SIZE):
21            # Select a random odd n in [2**53/5**k,
22            # 2**54/5**k). Then n * 10**k gives a halfway case
23            # with small number of significant digits.
24            n, e = random.randrange(lower, upper, 2), k
25
26            # Remove any additional powers of 5.
27            while n % 5 == 0:
28                n, e = n // 5, e + 1
29            assert n % 10 in (1, 3, 7, 9)
30
31            # Try numbers of the form n * 2**p2 * 10**e, p2 >= 0,
32            # until n * 2**p2 has more than 20 significant digits.
33            digits, exponent = n, e
34            while digits < 10**20:
35                s = '{}e{}'.format(digits, exponent)
36                yield s
37                # Same again, but with extra trailing zeros.
38                s = '{}e{}'.format(digits * 10**40, exponent - 40)
39                yield s
40                digits *= 2
41
42            # Try numbers of the form n * 5**p2 * 10**(e - p5), p5
43            # >= 0, with n * 5**p5 < 10**20.
44            digits, exponent = n, e
45            while digits < 10**20:
46                s = '{}e{}'.format(digits, exponent)
47                yield s
48                # Same again, but with extra trailing zeros.
49                s = '{}e{}'.format(digits * 10**40, exponent - 40)
50                yield s
51                digits *= 5
52                exponent -= 1
53
54def test_halfway_cases():
55    # test halfway cases for the round-half-to-even rule
56    for i in range(1000):
57        for j in range(TEST_SIZE):
58            # bit pattern for a random finite positive (or +0.0) float
59            bits = random.randrange(2047*2**52)
60
61            # convert bit pattern to a number of the form m * 2**e
62            e, m = divmod(bits, 2**52)
63            if e:
64                m, e = m + 2**52, e - 1
65            e -= 1074
66
67            # add 0.5 ulps
68            m, e = 2*m + 1, e - 1
69
70            # convert to a decimal string
71            if e >= 0:
72                digits = m << e
73                exponent = 0
74            else:
75                # m * 2**e = (m * 5**-e) * 10**e
76                digits = m * 5**-e
77                exponent = e
78            s = '{}e{}'.format(digits, exponent)
79            yield s
80
81def test_boundaries():
82    # boundaries expressed as triples (n, e, u), where
83    # n*10**e is an approximation to the boundary value and
84    # u*10**e is 1ulp
85    boundaries = [
86        (10000000000000000000, -19, 1110),   # a power of 2 boundary (1.0)
87        (17976931348623159077, 289, 1995),   # overflow boundary (2.**1024)
88        (22250738585072013831, -327, 4941),  # normal/subnormal (2.**-1022)
89        (0, -327, 4941),                     # zero
90        ]
91    for n, e, u in boundaries:
92        for j in range(1000):
93            for i in range(TEST_SIZE):
94                digits = n + random.randrange(-3*u, 3*u)
95                exponent = e
96                s = '{}e{}'.format(digits, exponent)
97                yield s
98            n *= 10
99            u *= 10
100            e -= 1
101
102def test_underflow_boundary():
103    # test values close to 2**-1075, the underflow boundary; similar
104    # to boundary_tests, except that the random error doesn't scale
105    # with n
106    for exponent in range(-400, -320):
107        base = 10**-exponent // 2**1075
108        for j in range(TEST_SIZE):
109            digits = base + random.randrange(-1000, 1000)
110            s = '{}e{}'.format(digits, exponent)
111            yield s
112
113def test_bigcomp():
114    for ndigs in 5, 10, 14, 15, 16, 17, 18, 19, 20, 40, 41, 50:
115        dig10 = 10**ndigs
116        for i in range(100 * TEST_SIZE):
117            digits = random.randrange(dig10)
118            exponent = random.randrange(-400, 400)
119            s = '{}e{}'.format(digits, exponent)
120            yield s
121
122def test_parsing():
123    # make '0' more likely to be chosen than other digits
124    digits = '000000123456789'
125    signs = ('+', '-', '')
126
127    # put together random short valid strings
128    # \d*[.\d*]?e
129    for i in range(1000):
130        for j in range(TEST_SIZE):
131            s = random.choice(signs)
132            intpart_len = random.randrange(5)
133            s += ''.join(random.choice(digits) for _ in range(intpart_len))
134            if random.choice([True, False]):
135                s += '.'
136                fracpart_len = random.randrange(5)
137                s += ''.join(random.choice(digits)
138                             for _ in range(fracpart_len))
139            else:
140                fracpart_len = 0
141            if random.choice([True, False]):
142                s += random.choice(['e', 'E'])
143                s += random.choice(signs)
144                exponent_len = random.randrange(1, 4)
145                s += ''.join(random.choice(digits)
146                             for _ in range(exponent_len))
147
148            if intpart_len + fracpart_len:
149                yield s
150
151test_particular = [
152     # squares
153    '1.00000000100000000025',
154    '1.0000000000000000000000000100000000000000000000000' #...
155    '00025',
156    '1.0000000000000000000000000000000000000000000010000' #...
157    '0000000000000000000000000000000000000000025',
158    '1.0000000000000000000000000000000000000000000000000' #...
159    '000001000000000000000000000000000000000000000000000' #...
160    '000000000025',
161    '0.99999999900000000025',
162    '0.9999999999999999999999999999999999999999999999999' #...
163    '999000000000000000000000000000000000000000000000000' #...
164    '000025',
165    '0.9999999999999999999999999999999999999999999999999' #...
166    '999999999999999999999999999999999999999999999999999' #...
167    '999999999999999999999999999999999999999990000000000' #...
168    '000000000000000000000000000000000000000000000000000' #...
169    '000000000000000000000000000000000000000000000000000' #...
170    '0000000000000000000000000000025',
171
172    '1.0000000000000000000000000000000000000000000000000' #...
173    '000000000000000000000000000000000000000000000000000' #...
174    '100000000000000000000000000000000000000000000000000' #...
175    '000000000000000000000000000000000000000000000000001',
176    '1.0000000000000000000000000000000000000000000000000' #...
177    '000000000000000000000000000000000000000000000000000' #...
178    '500000000000000000000000000000000000000000000000000' #...
179    '000000000000000000000000000000000000000000000000005',
180    '1.0000000000000000000000000000000000000000000000000' #...
181    '000000000100000000000000000000000000000000000000000' #...
182    '000000000000000000250000000000000002000000000000000' #...
183    '000000000000000000000000000000000000000000010000000' #...
184    '000000000000000000000000000000000000000000000000000' #...
185    '0000000000000000001',
186    '1.0000000000000000000000000000000000000000000000000' #...
187    '000000000100000000000000000000000000000000000000000' #...
188    '000000000000000000249999999999999999999999999999999' #...
189    '999999999999979999999999999999999999999999999999999' #...
190    '999999999999999999999900000000000000000000000000000' #...
191    '000000000000000000000000000000000000000000000000000' #...
192    '00000000000000000000000001',
193
194    '0.9999999999999999999999999999999999999999999999999' #...
195    '999999999900000000000000000000000000000000000000000' #...
196    '000000000000000000249999999999999998000000000000000' #...
197    '000000000000000000000000000000000000000000010000000' #...
198    '000000000000000000000000000000000000000000000000000' #...
199    '0000000000000000001',
200    '0.9999999999999999999999999999999999999999999999999' #...
201    '999999999900000000000000000000000000000000000000000' #...
202    '000000000000000000250000001999999999999999999999999' #...
203    '999999999999999999999999999999999990000000000000000' #...
204    '000000000000000000000000000000000000000000000000000' #...
205    '1',
206
207    # tough cases for ln etc.
208    '1.000000000000000000000000000000000000000000000000' #...
209    '00000000000000000000000000000000000000000000000000' #...
210    '00100000000000000000000000000000000000000000000000' #...
211    '00000000000000000000000000000000000000000000000000' #...
212    '0001',
213    '0.999999999999999999999999999999999999999999999999' #...
214    '99999999999999999999999999999999999999999999999999' #...
215    '99899999999999999999999999999999999999999999999999' #...
216    '99999999999999999999999999999999999999999999999999' #...
217    '99999999999999999999999999999999999999999999999999' #...
218    '9999'
219    ]
220
221
222TESTCASES = [
223      [x for x in test_short_halfway_cases()],
224      [x for x in test_halfway_cases()],
225      [x for x in test_boundaries()],
226      [x for x in test_underflow_boundary()],
227      [x for x in test_bigcomp()],
228      [x for x in test_parsing()],
229      test_particular
230]
231
232def un_randfloat():
233    for i in range(1000):
234        l = random.choice(TESTCASES[:6])
235        yield random.choice(l)
236    for v in test_particular:
237        yield v
238
239def bin_randfloat():
240    for i in range(1000):
241        l1 = random.choice(TESTCASES)
242        l2 = random.choice(TESTCASES)
243        yield random.choice(l1), random.choice(l2)
244
245def tern_randfloat():
246    for i in range(1000):
247        l1 = random.choice(TESTCASES)
248        l2 = random.choice(TESTCASES)
249        l3 = random.choice(TESTCASES)
250        yield random.choice(l1), random.choice(l2), random.choice(l3)
251