(root)/
Python-3.12.0/
Modules/
_decimal/
tests/
randfloat.py
       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  
       6  import random
       7  
       8  TEST_SIZE = 2
       9  
      10  
      11  def 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  
      54  def 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  
      81  def 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  
     102  def 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  
     113  def 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  
     122  def 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  
     151  test_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  
     222  TESTCASES = [
     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  
     232  def 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  
     239  def 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  
     245  def 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)