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"""Unit tests for the bytes and bytearray types.

XXX This is a mess.  Common tests should be moved to buffer_tests.py,
which itself ought to be unified with string_tests.py (and the latter
should be modernized).
"""

import os
import re
import sys
import copy
import functools
import pickle
import tempfile
import unittest
import test.support
import test.string_tests
import test.buffer_tests


if sys.flags.bytes_warning:
    def check_bytes_warnings(func):
        @functools.wraps(func)
        def wrapper(*args, **kw):
            with test.support.check_warnings(('', BytesWarning)):
                return func(*args, **kw)
        return wrapper
else:
    # no-op
    def check_bytes_warnings(func):
        return func


class Indexable:
    def __init__(self, value=0):
        self.value = value
    def __index__(self):
        return self.value


class BaseBytesTest:

    def test_basics(self):
        b = self.type2test()
        self.assertEqual(type(b), self.type2test)
        self.assertEqual(b.__class__, self.type2test)

    def test_copy(self):
        a = self.type2test(b"abcd")
        for copy_method in (copy.copy, copy.deepcopy):
            b = copy_method(a)
            self.assertEqual(a, b)
            self.assertEqual(type(a), type(b))

    def test_empty_sequence(self):
        b = self.type2test()
        self.assertEqual(len(b), 0)
        self.assertRaises(IndexError, lambda: b[0])
        self.assertRaises(IndexError, lambda: b[1])
        self.assertRaises(IndexError, lambda: b[sys.maxsize])
        self.assertRaises(IndexError, lambda: b[sys.maxsize+1])
        self.assertRaises(IndexError, lambda: b[10**100])
        self.assertRaises(IndexError, lambda: b[-1])
        self.assertRaises(IndexError, lambda: b[-2])
        self.assertRaises(IndexError, lambda: b[-sys.maxsize])
        self.assertRaises(IndexError, lambda: b[-sys.maxsize-1])
        self.assertRaises(IndexError, lambda: b[-sys.maxsize-2])
        self.assertRaises(IndexError, lambda: b[-10**100])

    def test_from_list(self):
        ints = list(range(256))
        b = self.type2test(i for i in ints)
        self.assertEqual(len(b), 256)
        self.assertEqual(list(b), ints)

    def test_from_index(self):
        b = self.type2test([Indexable(), Indexable(1), Indexable(254),
                            Indexable(255)])
        self.assertEqual(list(b), [0, 1, 254, 255])
        self.assertRaises(ValueError, self.type2test, [Indexable(-1)])
        self.assertRaises(ValueError, self.type2test, [Indexable(256)])

    def test_from_ssize(self):
        self.assertEqual(self.type2test(0), b'')
        self.assertEqual(self.type2test(1), b'\x00')
        self.assertEqual(self.type2test(5), b'\x00\x00\x00\x00\x00')
        self.assertRaises(ValueError, self.type2test, -1)

        self.assertEqual(self.type2test('0', 'ascii'), b'0')
        self.assertEqual(self.type2test(b'0'), b'0')
        self.assertRaises(OverflowError, self.type2test, sys.maxsize + 1)

    def test_constructor_type_errors(self):
        self.assertRaises(TypeError, self.type2test, 0.0)
        class C:
            pass
        self.assertRaises(TypeError, self.type2test, ["0"])
        self.assertRaises(TypeError, self.type2test, [0.0])
        self.assertRaises(TypeError, self.type2test, [None])
        self.assertRaises(TypeError, self.type2test, [C()])

    def test_constructor_value_errors(self):
        self.assertRaises(ValueError, self.type2test, [-1])
        self.assertRaises(ValueError, self.type2test, [-sys.maxsize])
        self.assertRaises(ValueError, self.type2test, [-sys.maxsize-1])
        self.assertRaises(ValueError, self.type2test, [-sys.maxsize-2])
        self.assertRaises(ValueError, self.type2test, [-10**100])
        self.assertRaises(ValueError, self.type2test, [256])
        self.assertRaises(ValueError, self.type2test, [257])
        self.assertRaises(ValueError, self.type2test, [sys.maxsize])
        self.assertRaises(ValueError, self.type2test, [sys.maxsize+1])
        self.assertRaises(ValueError, self.type2test, [10**100])

    def test_compare(self):
        b1 = self.type2test([1, 2, 3])
        b2 = self.type2test([1, 2, 3])
        b3 = self.type2test([1, 3])

        self.assertEqual(b1, b2)
        self.assertTrue(b2 != b3)
        self.assertTrue(b1 <= b2)
        self.assertTrue(b1 <= b3)
        self.assertTrue(b1 <  b3)
        self.assertTrue(b1 >= b2)
        self.assertTrue(b3 >= b2)
        self.assertTrue(b3 >  b2)

        self.assertFalse(b1 != b2)
        self.assertFalse(b2 == b3)
        self.assertFalse(b1 >  b2)
        self.assertFalse(b1 >  b3)
        self.assertFalse(b1 >= b3)
        self.assertFalse(b1 <  b2)
        self.assertFalse(b3 <  b2)
        self.assertFalse(b3 <= b2)

    @check_bytes_warnings
    def test_compare_to_str(self):
        # Byte comparisons with unicode should always fail!
        # Test this for all expected byte orders and Unicode character
        # sizes.
        self.assertEqual(self.type2test(b"\0a\0b\0c") == "abc", False)
        self.assertEqual(self.type2test(b"\0\0\0a\0\0\0b\0\0\0c") == "abc",
                            False)
        self.assertEqual(self.type2test(b"a\0b\0c\0") == "abc", False)
        self.assertEqual(self.type2test(b"a\0\0\0b\0\0\0c\0\0\0") == "abc",
                            False)
        self.assertEqual(self.type2test() == str(), False)
        self.assertEqual(self.type2test() != str(), True)

    def test_reversed(self):
        input = list(map(ord, "Hello"))
        b = self.type2test(input)
        output = list(reversed(b))
        input.reverse()
        self.assertEqual(output, input)

    def test_getslice(self):
        def by(s):
            return self.type2test(map(ord, s))
        b = by("Hello, world")

        self.assertEqual(b[:5], by("Hello"))
        self.assertEqual(b[1:5], by("ello"))
        self.assertEqual(b[5:7], by(", "))
        self.assertEqual(b[7:], by("world"))
        self.assertEqual(b[7:12], by("world"))
        self.assertEqual(b[7:100], by("world"))

        self.assertEqual(b[:-7], by("Hello"))
        self.assertEqual(b[-11:-7], by("ello"))
        self.assertEqual(b[-7:-5], by(", "))
        self.assertEqual(b[-5:], by("world"))
        self.assertEqual(b[-5:12], by("world"))
        self.assertEqual(b[-5:100], by("world"))
        self.assertEqual(b[-100:5], by("Hello"))

    def test_extended_getslice(self):
        # Test extended slicing by comparing with list slicing.
        L = list(range(255))
        b = self.type2test(L)
        indices = (0, None, 1, 3, 19, 100, -1, -2, -31, -100)
        for start in indices:
            for stop in indices:
                # Skip step 0 (invalid)
                for step in indices[1:]:
                    self.assertEqual(b[start:stop:step], self.type2test(L[start:stop:step]))

    def test_encoding(self):
        sample = "Hello world\n\u1234\u5678\u9abc"
        for enc in ("utf-8", "utf-16"):
            b = self.type2test(sample, enc)
            self.assertEqual(b, self.type2test(sample.encode(enc)))
        self.assertRaises(UnicodeEncodeError, self.type2test, sample, "latin-1")
        b = self.type2test(sample, "latin-1", "ignore")
        self.assertEqual(b, self.type2test(sample[:-3], "utf-8"))

    def test_decode(self):
        sample = "Hello world\n\u1234\u5678\u9abc\def0\def0"
        for enc in ("utf-8", "utf-16"):
            b = self.type2test(sample, enc)
            self.assertEqual(b.decode(enc), sample)
        sample = "Hello world\n\x80\x81\xfe\xff"
        b = self.type2test(sample, "latin-1")
        self.assertRaises(UnicodeDecodeError, b.decode, "utf-8")
        self.assertEqual(b.decode("utf-8", "ignore"), "Hello world\n")
        self.assertEqual(b.decode(errors="ignore", encoding="utf-8"),
                         "Hello world\n")
        # Default encoding is utf-8
        self.assertEqual(self.type2test(b'\xe2\x98\x83').decode(), '\u2603')

    def test_from_int(self):
        b = self.type2test(0)
        self.assertEqual(b, self.type2test())
        b = self.type2test(10)
        self.assertEqual(b, self.type2test([0]*10))
        b = self.type2test(10000)
        self.assertEqual(b, self.type2test([0]*10000))

    def test_concat(self):
        b1 = self.type2test(b"abc")
        b2 = self.type2test(b"def")
        self.assertEqual(b1 + b2, b"abcdef")
        self.assertEqual(b1 + bytes(b"def"), b"abcdef")
        self.assertEqual(bytes(b"def") + b1, b"defabc")
        self.assertRaises(TypeError, lambda: b1 + "def")
        self.assertRaises(TypeError, lambda: "abc" + b2)

    def test_repeat(self):
        for b in b"abc", self.type2test(b"abc"):
            self.assertEqual(b * 3, b"abcabcabc")
            self.assertEqual(b * 0, b"")
            self.assertEqual(b * -1, b"")
            self.assertRaises(TypeError, lambda: b * 3.14)
            self.assertRaises(TypeError, lambda: 3.14 * b)
            # XXX Shouldn't bytes and bytearray agree on what to raise?
            with self.assertRaises((OverflowError, MemoryError)):
                c = b * sys.maxsize
            with self.assertRaises((OverflowError, MemoryError)):
                b *= sys.maxsize

    def test_repeat_1char(self):
        self.assertEqual(self.type2test(b'x')*100, self.type2test([ord('x')]*100))

    def test_contains(self):
        b = self.type2test(b"abc")
        self.assertIn(ord('a'), b)
        self.assertIn(int(ord('a')), b)
        self.assertNotIn(200, b)
        self.assertRaises(ValueError, lambda: 300 in b)
        self.assertRaises(ValueError, lambda: -1 in b)
        self.assertRaises(TypeError, lambda: None in b)
        self.assertRaises(TypeError, lambda: float(ord('a')) in b)
        self.assertRaises(TypeError, lambda: "a" in b)
        for f in bytes, bytearray:
            self.assertIn(f(b""), b)
            self.assertIn(f(b"a"), b)
            self.assertIn(f(b"b"), b)
            self.assertIn(f(b"c"), b)
            self.assertIn(f(b"ab"), b)
            self.assertIn(f(b"bc"), b)
            self.assertIn(f(b"abc"), b)
            self.assertNotIn(f(b"ac"), b)
            self.assertNotIn(f(b"d"), b)
            self.assertNotIn(f(b"dab"), b)
            self.assertNotIn(f(b"abd"), b)

    def test_fromhex(self):
        self.assertRaises(TypeError, self.type2test.fromhex)
        self.assertRaises(TypeError, self.type2test.fromhex, 1)
        self.assertEqual(self.type2test.fromhex(''), self.type2test())
        b = bytearray([0x1a, 0x2b, 0x30])
        self.assertEqual(self.type2test.fromhex('1a2B30'), b)
        self.assertEqual(self.type2test.fromhex('  1A 2B  30   '), b)
        self.assertEqual(self.type2test.fromhex('0000'), b'\0\0')
        self.assertRaises(TypeError, self.type2test.fromhex, b'1B')
        self.assertRaises(ValueError, self.type2test.fromhex, 'a')
        self.assertRaises(ValueError, self.type2test.fromhex, 'rt')
        self.assertRaises(ValueError, self.type2test.fromhex, '1a b cd')
        self.assertRaises(ValueError, self.type2test.fromhex, '\x00')
        self.assertRaises(ValueError, self.type2test.fromhex, '12   \x00   34')

    def test_join(self):
        self.assertEqual(self.type2test(b"").join([]), b"")
        self.assertEqual(self.type2test(b"").join([b""]), b"")
        for lst in [[b"abc"], [b"a", b"bc"], [b"ab", b"c"], [b"a", b"b", b"c"]]:
            lst = list(map(self.type2test, lst))
            self.assertEqual(self.type2test(b"").join(lst), b"abc")
            self.assertEqual(self.type2test(b"").join(tuple(lst)), b"abc")
            self.assertEqual(self.type2test(b"").join(iter(lst)), b"abc")
        self.assertEqual(self.type2test(b".").join([b"ab", b"cd"]), b"ab.cd")
        # XXX more...

    def test_count(self):
        b = self.type2test(b'mississippi')
        i = 105
        p = 112
        w = 119

        self.assertEqual(b.count(b'i'), 4)
        self.assertEqual(b.count(b'ss'), 2)
        self.assertEqual(b.count(b'w'), 0)

        self.assertEqual(b.count(i), 4)
        self.assertEqual(b.count(w), 0)

        self.assertEqual(b.count(b'i', 6), 2)
        self.assertEqual(b.count(b'p', 6), 2)
        self.assertEqual(b.count(b'i', 1, 3), 1)
        self.assertEqual(b.count(b'p', 7, 9), 1)

        self.assertEqual(b.count(i, 6), 2)
        self.assertEqual(b.count(p, 6), 2)
        self.assertEqual(b.count(i, 1, 3), 1)
        self.assertEqual(b.count(p, 7, 9), 1)

    def test_startswith(self):
        b = self.type2test(b'hello')
        self.assertFalse(self.type2test().startswith(b"anything"))
        self.assertTrue(b.startswith(b"hello"))
        self.assertTrue(b.startswith(b"hel"))
        self.assertTrue(b.startswith(b"h"))
        self.assertFalse(b.startswith(b"hellow"))
        self.assertFalse(b.startswith(b"ha"))
        with self.assertRaises(TypeError) as cm:
            b.startswith([b'h'])
        exc = str(cm.exception)
        self.assertIn('bytes', exc)
        self.assertIn('tuple', exc)

    def test_endswith(self):
        b = self.type2test(b'hello')
        self.assertFalse(bytearray().endswith(b"anything"))
        self.assertTrue(b.endswith(b"hello"))
        self.assertTrue(b.endswith(b"llo"))
        self.assertTrue(b.endswith(b"o"))
        self.assertFalse(b.endswith(b"whello"))
        self.assertFalse(b.endswith(b"no"))
        with self.assertRaises(TypeError) as cm:
            b.endswith([b'o'])
        exc = str(cm.exception)
        self.assertIn('bytes', exc)
        self.assertIn('tuple', exc)

    def test_find(self):
        b = self.type2test(b'mississippi')
        i = 105
        w = 119

        self.assertEqual(b.find(b'ss'), 2)
        self.assertEqual(b.find(b'w'), -1)
        self.assertEqual(b.find(b'mississippian'), -1)

        self.assertEqual(b.find(i), 1)
        self.assertEqual(b.find(w), -1)

        self.assertEqual(b.find(b'ss', 3), 5)
        self.assertEqual(b.find(b'ss', 1, 7), 2)
        self.assertEqual(b.find(b'ss', 1, 3), -1)

        self.assertEqual(b.find(i, 6), 7)
        self.assertEqual(b.find(i, 1, 3), 1)
        self.assertEqual(b.find(w, 1, 3), -1)

        for index in (-1, 256, sys.maxsize + 1):
            self.assertRaisesRegex(
                ValueError, r'byte must be in range\(0, 256\)',
                b.find, index)

    def test_rfind(self):
        b = self.type2test(b'mississippi')
        i = 105
        w = 119

        self.assertEqual(b.rfind(b'ss'), 5)
        self.assertEqual(b.rfind(b'w'), -1)
        self.assertEqual(b.rfind(b'mississippian'), -1)

        self.assertEqual(b.rfind(i), 10)
        self.assertEqual(b.rfind(w), -1)

        self.assertEqual(b.rfind(b'ss', 3), 5)
        self.assertEqual(b.rfind(b'ss', 0, 6), 2)

        self.assertEqual(b.rfind(i, 1, 3), 1)
        self.assertEqual(b.rfind(i, 3, 9), 7)
        self.assertEqual(b.rfind(w, 1, 3), -1)

    def test_index(self):
        b = self.type2test(b'mississippi')
        i = 105
        w = 119

        self.assertEqual(b.index(b'ss'), 2)
        self.assertRaises(ValueError, b.index, b'w')
        self.assertRaises(ValueError, b.index, b'mississippian')

        self.assertEqual(b.index(i), 1)
        self.assertRaises(ValueError, b.index, w)

        self.assertEqual(b.index(b'ss', 3), 5)
        self.assertEqual(b.index(b'ss', 1, 7), 2)
        self.assertRaises(ValueError, b.index, b'ss', 1, 3)

        self.assertEqual(b.index(i, 6), 7)
        self.assertEqual(b.index(i, 1, 3), 1)
        self.assertRaises(ValueError, b.index, w, 1, 3)

    def test_rindex(self):
        b = self.type2test(b'mississippi')
        i = 105
        w = 119

        self.assertEqual(b.rindex(b'ss'), 5)
        self.assertRaises(ValueError, b.rindex, b'w')
        self.assertRaises(ValueError, b.rindex, b'mississippian')

        self.assertEqual(b.rindex(i), 10)
        self.assertRaises(ValueError, b.rindex, w)

        self.assertEqual(b.rindex(b'ss', 3), 5)
        self.assertEqual(b.rindex(b'ss', 0, 6), 2)

        self.assertEqual(b.rindex(i, 1, 3), 1)
        self.assertEqual(b.rindex(i, 3, 9), 7)
        self.assertRaises(ValueError, b.rindex, w, 1, 3)

    def test_replace(self):
        b = self.type2test(b'mississippi')
        self.assertEqual(b.replace(b'i', b'a'), b'massassappa')
        self.assertEqual(b.replace(b'ss', b'x'), b'mixixippi')

    def test_split(self):
        b = self.type2test(b'mississippi')
        self.assertEqual(b.split(b'i'), [b'm', b'ss', b'ss', b'pp', b''])
        self.assertEqual(b.split(b'ss'), [b'mi', b'i', b'ippi'])
        self.assertEqual(b.split(b'w'), [b])
        # with keyword args
        b = self.type2test(b'a|b|c|d')
        self.assertEqual(b.split(sep=b'|'), [b'a', b'b', b'c', b'd'])
        self.assertEqual(b.split(b'|', maxsplit=1), [b'a', b'b|c|d'])
        self.assertEqual(b.split(sep=b'|', maxsplit=1), [b'a', b'b|c|d'])
        self.assertEqual(b.split(maxsplit=1, sep=b'|'), [b'a', b'b|c|d'])
        b = self.type2test(b'a b c d')
        self.assertEqual(b.split(maxsplit=1), [b'a', b'b c d'])

    def test_split_whitespace(self):
        for b in (b'  arf  barf  ', b'arf\tbarf', b'arf\nbarf', b'arf\rbarf',
                  b'arf\fbarf', b'arf\vbarf'):
            b = self.type2test(b)
            self.assertEqual(b.split(), [b'arf', b'barf'])
            self.assertEqual(b.split(None), [b'arf', b'barf'])
            self.assertEqual(b.split(None, 2), [b'arf', b'barf'])
        for b in (b'a\x1Cb', b'a\x1Db', b'a\x1Eb', b'a\x1Fb'):
            b = self.type2test(b)
            self.assertEqual(b.split(), [b])
        self.assertEqual(self.type2test(b'  a  bb  c  ').split(None, 0), [b'a  bb  c  '])
        self.assertEqual(self.type2test(b'  a  bb  c  ').split(None, 1), [b'a', b'bb  c  '])
        self.assertEqual(self.type2test(b'  a  bb  c  ').split(None, 2), [b'a', b'bb', b'c  '])
        self.assertEqual(self.type2test(b'  a  bb  c  ').split(None, 3), [b'a', b'bb', b'c'])

    def test_split_string_error(self):
        self.assertRaises(TypeError, self.type2test(b'a b').split, ' ')

    def test_split_unicodewhitespace(self):
        b = self.type2test(b"\x09\x0A\x0B\x0C\x0D\x1C\x1D\x1E\x1F")
        self.assertEqual(b.split(), [b'\x1c\x1d\x1e\x1f'])

    def test_rsplit(self):
        b = self.type2test(b'mississippi')
        self.assertEqual(b.rsplit(b'i'), [b'm', b'ss', b'ss', b'pp', b''])
        self.assertEqual(b.rsplit(b'ss'), [b'mi', b'i', b'ippi'])
        self.assertEqual(b.rsplit(b'w'), [b])
        # with keyword args
        b = self.type2test(b'a|b|c|d')
        self.assertEqual(b.rsplit(sep=b'|'), [b'a', b'b', b'c', b'd'])
        self.assertEqual(b.rsplit(b'|', maxsplit=1), [b'a|b|c', b'd'])
        self.assertEqual(b.rsplit(sep=b'|', maxsplit=1), [b'a|b|c', b'd'])
        self.assertEqual(b.rsplit(maxsplit=1, sep=b'|'), [b'a|b|c', b'd'])
        b = self.type2test(b'a b c d')
        self.assertEqual(b.rsplit(maxsplit=1), [b'a b c', b'd'])

    def test_rsplit_whitespace(self):
        for b in (b'  arf  barf  ', b'arf\tbarf', b'arf\nbarf', b'arf\rbarf',
                  b'arf\fbarf', b'arf\vbarf'):
            b = self.type2test(b)
            self.assertEqual(b.rsplit(), [b'arf', b'barf'])
            self.assertEqual(b.rsplit(None), [b'arf', b'barf'])
            self.assertEqual(b.rsplit(None, 2), [b'arf', b'barf'])
        self.assertEqual(self.type2test(b'  a  bb  c  ').rsplit(None, 0), [b'  a  bb  c'])
        self.assertEqual(self.type2test(b'  a  bb  c  ').rsplit(None, 1), [b'  a  bb', b'c'])
        self.assertEqual(self.type2test(b'  a  bb  c  ').rsplit(None, 2), [b'  a', b'bb', b'c'])
        self.assertEqual(self.type2test(b'  a  bb  c  ').rsplit(None, 3), [b'a', b'bb', b'c'])

    def test_rsplit_string_error(self):
        self.assertRaises(TypeError, self.type2test(b'a b').rsplit, ' ')

    def test_rsplit_unicodewhitespace(self):
        b = self.type2test(b"\x09\x0A\x0B\x0C\x0D\x1C\x1D\x1E\x1F")
        self.assertEqual(b.rsplit(), [b'\x1c\x1d\x1e\x1f'])

    def test_partition(self):
        b = self.type2test(b'mississippi')
        self.assertEqual(b.partition(b'ss'), (b'mi', b'ss', b'issippi'))
        self.assertEqual(b.partition(b'w'), (b'mississippi', b'', b''))

    def test_rpartition(self):
        b = self.type2test(b'mississippi')
        self.assertEqual(b.rpartition(b'ss'), (b'missi', b'ss', b'ippi'))
        self.assertEqual(b.rpartition(b'i'), (b'mississipp', b'i', b''))
        self.assertEqual(b.rpartition(b'w'), (b'', b'', b'mississippi'))

    def test_pickling(self):
        for proto in range(pickle.HIGHEST_PROTOCOL + 1):
            for b in b"", b"a", b"abc", b"\xffab\x80", b"\0\0\377\0\0":
                b = self.type2test(b)
                ps = pickle.dumps(b, proto)
                q = pickle.loads(ps)
                self.assertEqual(b, q)

    def test_iterator_pickling(self):
        for b in b"", b"a", b"abc", b"\xffab\x80", b"\0\0\377\0\0":
            it = itorg = iter(self.type2test(b))
            data = list(self.type2test(b))
            d = pickle.dumps(it)
            it = pickle.loads(d)
            self.assertEqual(type(itorg), type(it))
            self.assertEqual(list(it), data)

            it = pickle.loads(d)
            try:
                next(it)
            except StopIteration:
                continue
            d = pickle.dumps(it)
            it = pickle.loads(d)
            self.assertEqual(list(it), data[1:])

    def test_strip(self):
        b = self.type2test(b'mississippi')
        self.assertEqual(b.strip(b'i'), b'mississipp')
        self.assertEqual(b.strip(b'm'), b'ississippi')
        self.assertEqual(b.strip(b'pi'), b'mississ')
        self.assertEqual(b.strip(b'im'), b'ssissipp')
        self.assertEqual(b.strip(b'pim'), b'ssiss')
        self.assertEqual(b.strip(b), b'')

    def test_lstrip(self):
        b = self.type2test(b'mississippi')
        self.assertEqual(b.lstrip(b'i'), b'mississippi')
        self.assertEqual(b.lstrip(b'm'), b'ississippi')
        self.assertEqual(b.lstrip(b'pi'), b'mississippi')
        self.assertEqual(b.lstrip(b'im'), b'ssissippi')
        self.assertEqual(b.lstrip(b'pim'), b'ssissippi')

    def test_rstrip(self):
        b = self.type2test(b'mississippi')
        self.assertEqual(b.rstrip(b'i'), b'mississipp')
        self.assertEqual(b.rstrip(b'm'), b'mississippi')
        self.assertEqual(b.rstrip(b'pi'), b'mississ')
        self.assertEqual(b.rstrip(b'im'), b'mississipp')
        self.assertEqual(b.rstrip(b'pim'), b'mississ')

    def test_strip_whitespace(self):
        b = self.type2test(b' \t\n\r\f\vabc \t\n\r\f\v')
        self.assertEqual(b.strip(), b'abc')
        self.assertEqual(b.lstrip(), b'abc \t\n\r\f\v')
        self.assertEqual(b.rstrip(), b' \t\n\r\f\vabc')

    def test_strip_bytearray(self):
        self.assertEqual(self.type2test(b'abc').strip(memoryview(b'ac')), b'b')
        self.assertEqual(self.type2test(b'abc').lstrip(memoryview(b'ac')), b'bc')
        self.assertEqual(self.type2test(b'abc').rstrip(memoryview(b'ac')), b'ab')

    def test_strip_string_error(self):
        self.assertRaises(TypeError, self.type2test(b'abc').strip, 'b')
        self.assertRaises(TypeError, self.type2test(b'abc').lstrip, 'b')
        self.assertRaises(TypeError, self.type2test(b'abc').rstrip, 'b')

    def test_center(self):
        # Fill character can be either bytes or bytearray (issue 12380)
        b = self.type2test(b'abc')
        for fill_type in (bytes, bytearray):
            self.assertEqual(b.center(7, fill_type(b'-')),
                             self.type2test(b'--abc--'))

    def test_ljust(self):
        # Fill character can be either bytes or bytearray (issue 12380)
        b = self.type2test(b'abc')
        for fill_type in (bytes, bytearray):
            self.assertEqual(b.ljust(7, fill_type(b'-')),
                             self.type2test(b'abc----'))

    def test_rjust(self):
        # Fill character can be either bytes or bytearray (issue 12380)
        b = self.type2test(b'abc')
        for fill_type in (bytes, bytearray):
            self.assertEqual(b.rjust(7, fill_type(b'-')),
                             self.type2test(b'----abc'))

    def test_ord(self):
        b = self.type2test(b'\0A\x7f\x80\xff')
        self.assertEqual([ord(b[i:i+1]) for i in range(len(b))],
                         [0, 65, 127, 128, 255])

    def test_maketrans(self):
        transtable = b'\000\001\002\003\004\005\006\007\010\011\012\013\014\015\016\017\020\021\022\023\024\025\026\027\030\031\032\033\034\035\036\037 !"#$%&\'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`xyzdefghijklmnopqrstuvwxyz{|}~\177\200\201\202\203\204\205\206\207\210\211\212\213\214\215\216\217\220\221\222\223\224\225\226\227\230\231\232\233\234\235\236\237\240\241\242\243\244\245\246\247\250\251\252\253\254\255\256\257\260\261\262\263\264\265\266\267\270\271\272\273\274\275\276\277\300\301\302\303\304\305\306\307\310\311\312\313\314\315\316\317\320\321\322\323\324\325\326\327\330\331\332\333\334\335\336\337\340\341\342\343\344\345\346\347\350\351\352\353\354\355\356\357\360\361\362\363\364\365\366\367\370\371\372\373\374\375\376\377'
        self.assertEqual(self.type2test.maketrans(b'abc', b'xyz'), transtable)
        transtable = b'\000\001\002\003\004\005\006\007\010\011\012\013\014\015\016\017\020\021\022\023\024\025\026\027\030\031\032\033\034\035\036\037 !"#$%&\'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghijklmnopqrstuvwxyz{|}~\177\200\201\202\203\204\205\206\207\210\211\212\213\214\215\216\217\220\221\222\223\224\225\226\227\230\231\232\233\234\235\236\237\240\241\242\243\244\245\246\247\250\251\252\253\254\255\256\257\260\261\262\263\264\265\266\267\270\271\272\273\274\275\276\277\300\301\302\303\304\305\306\307\310\311\312\313\314\315\316\317\320\321\322\323\324\325\326\327\330\331\332\333\334\335\336\337\340\341\342\343\344\345\346\347\350\351\352\353\354\355\356\357\360\361\362\363\364\365\366\367\370\371\372\373\374xyz'
        self.assertEqual(self.type2test.maketrans(b'\375\376\377', b'xyz'), transtable)
        self.assertRaises(ValueError, self.type2test.maketrans, b'abc', b'xyzq')
        self.assertRaises(TypeError, self.type2test.maketrans, 'abc', 'def')

    def test_none_arguments(self):
        # issue 11828
        b = self.type2test(b'hello')
        l = self.type2test(b'l')
        h = self.type2test(b'h')
        x = self.type2test(b'x')
        o = self.type2test(b'o')

        self.assertEqual(2, b.find(l, None))
        self.assertEqual(3, b.find(l, -2, None))
        self.assertEqual(2, b.find(l, None, -2))
        self.assertEqual(0, b.find(h, None, None))

        self.assertEqual(3, b.rfind(l, None))
        self.assertEqual(3, b.rfind(l, -2, None))
        self.assertEqual(2, b.rfind(l, None, -2))
        self.assertEqual(0, b.rfind(h, None, None))

        self.assertEqual(2, b.index(l, None))
        self.assertEqual(3, b.index(l, -2, None))
        self.assertEqual(2, b.index(l, None, -2))
        self.assertEqual(0, b.index(h, None, None))

        self.assertEqual(3, b.rindex(l, None))
        self.assertEqual(3, b.rindex(l, -2, None))
        self.assertEqual(2, b.rindex(l, None, -2))
        self.assertEqual(0, b.rindex(h, None, None))

        self.assertEqual(2, b.count(l, None))
        self.assertEqual(1, b.count(l, -2, None))
        self.assertEqual(1, b.count(l, None, -2))
        self.assertEqual(0, b.count(x, None, None))

        self.assertEqual(True, b.endswith(o, None))
        self.assertEqual(True, b.endswith(o, -2, None))
        self.assertEqual(True, b.endswith(l, None, -2))
        self.assertEqual(False, b.endswith(x, None, None))

        self.assertEqual(True, b.startswith(h, None))
        self.assertEqual(True, b.startswith(l, -2, None))
        self.assertEqual(True, b.startswith(h, None, -2))
        self.assertEqual(False, b.startswith(x, None, None))

    def test_integer_arguments_out_of_byte_range(self):
        b = self.type2test(b'hello')

        for method in (b.count, b.find, b.index, b.rfind, b.rindex):
            self.assertRaises(ValueError, method, -1)
            self.assertRaises(ValueError, method, 256)
            self.assertRaises(ValueError, method, 9999)

    def test_find_etc_raise_correct_error_messages(self):
        # issue 11828
        b = self.type2test(b'hello')
        x = self.type2test(b'x')
        self.assertRaisesRegex(TypeError, r'\bfind\b', b.find,
                                x, None, None, None)
        self.assertRaisesRegex(TypeError, r'\brfind\b', b.rfind,
                                x, None, None, None)
        self.assertRaisesRegex(TypeError, r'\bindex\b', b.index,
                                x, None, None, None)
        self.assertRaisesRegex(TypeError, r'\brindex\b', b.rindex,
                                x, None, None, None)
        self.assertRaisesRegex(TypeError, r'\bcount\b', b.count,
                                x, None, None, None)
        self.assertRaisesRegex(TypeError, r'\bstartswith\b', b.startswith,
                                x, None, None, None)
        self.assertRaisesRegex(TypeError, r'\bendswith\b', b.endswith,
                                x, None, None, None)


class BytesTest(BaseBytesTest, unittest.TestCase):
    type2test = bytes

    def test_buffer_is_readonly(self):
        fd = os.dup(sys.stdin.fileno())
        with open(fd, "rb", buffering=0) as f:
            self.assertRaises(TypeError, f.readinto, b"")

    def test_custom(self):
        class A:
            def __bytes__(self):
                return b'abc'
        self.assertEqual(bytes(A()), b'abc')
        class A: pass
        self.assertRaises(TypeError, bytes, A())
        class A:
            def __bytes__(self):
                return None
        self.assertRaises(TypeError, bytes, A())
        class A:
            def __bytes__(self):
                return b'a'
            def __index__(self):
                return 42
        self.assertEqual(bytes(A()), b'a')

    # Test PyBytes_FromFormat()
    def test_from_format(self):
        test.support.import_module('ctypes')
        from ctypes import pythonapi, py_object, c_int, c_char_p
        PyBytes_FromFormat = pythonapi.PyBytes_FromFormat
        PyBytes_FromFormat.restype = py_object

        self.assertEqual(PyBytes_FromFormat(b'format'),
                         b'format')

        self.assertEqual(PyBytes_FromFormat(b'%'), b'%')
        self.assertEqual(PyBytes_FromFormat(b'%%'), b'%')
        self.assertEqual(PyBytes_FromFormat(b'%%s'), b'%s')
        self.assertEqual(PyBytes_FromFormat(b'[%%]'), b'[%]')
        self.assertEqual(PyBytes_FromFormat(b'%%%c', c_int(ord('_'))), b'%_')

        self.assertEqual(PyBytes_FromFormat(b'c:%c', c_int(255)),
                         b'c:\xff')
        self.assertEqual(PyBytes_FromFormat(b's:%s', c_char_p(b'cstr')),
                         b's:cstr')


class ByteArrayTest(BaseBytesTest, unittest.TestCase):
    type2test = bytearray

    def test_nohash(self):
        self.assertRaises(TypeError, hash, bytearray())

    def test_bytearray_api(self):
        short_sample = b"Hello world\n"
        sample = short_sample + b"\0"*(20 - len(short_sample))
        tfn = tempfile.mktemp()
        try:
            # Prepare
            with open(tfn, "wb") as f:
                f.write(short_sample)
            # Test readinto
            with open(tfn, "rb") as f:
                b = bytearray(20)
                n = f.readinto(b)
            self.assertEqual(n, len(short_sample))
            self.assertEqual(list(b), list(sample))
            # Test writing in binary mode
            with open(tfn, "wb") as f:
                f.write(b)
            with open(tfn, "rb") as f:
                self.assertEqual(f.read(), sample)
            # Text mode is ambiguous; don't test
        finally:
            try:
                os.remove(tfn)
            except os.error:
                pass

    def test_reverse(self):
        b = bytearray(b'hello')
        self.assertEqual(b.reverse(), None)
        self.assertEqual(b, b'olleh')
        b = bytearray(b'hello1') # test even number of items
        b.reverse()
        self.assertEqual(b, b'1olleh')
        b = bytearray()
        b.reverse()
        self.assertFalse(b)

    def test_clear(self):
        b = bytearray(b'python')
        b.clear()
        self.assertEqual(b, b'')

        b = bytearray(b'')
        b.clear()
        self.assertEqual(b, b'')

        b = bytearray(b'')
        b.append(ord('r'))
        b.clear()
        b.append(ord('p'))
        self.assertEqual(b, b'p')

    def test_copy(self):
        b = bytearray(b'abc')
        bb = b.copy()
        self.assertEqual(bb, b'abc')

        b = bytearray(b'')
        bb = b.copy()
        self.assertEqual(bb, b'')

        # test that it's indeed a copy and not a reference
        b = bytearray(b'abc')
        bb = b.copy()
        self.assertEqual(b, bb)
        self.assertIsNot(b, bb)
        bb.append(ord('d'))
        self.assertEqual(bb, b'abcd')
        self.assertEqual(b, b'abc')

    def test_regexps(self):
        def by(s):
            return bytearray(map(ord, s))
        b = by("Hello, world")
        self.assertEqual(re.findall(br"\w+", b), [by("Hello"), by("world")])

    def test_setitem(self):
        b = bytearray([1, 2, 3])
        b[1] = 100
        self.assertEqual(b, bytearray([1, 100, 3]))
        b[-1] = 200
        self.assertEqual(b, bytearray([1, 100, 200]))
        b[0] = Indexable(10)
        self.assertEqual(b, bytearray([10, 100, 200]))
        try:
            b[3] = 0
            self.fail("Didn't raise IndexError")
        except IndexError:
            pass
        try:
            b[-10] = 0
            self.fail("Didn't raise IndexError")
        except IndexError:
            pass
        try:
            b[0] = 256
            self.fail("Didn't raise ValueError")
        except ValueError:
            pass
        try:
            b[0] = Indexable(-1)
            self.fail("Didn't raise ValueError")
        except ValueError:
            pass
        try:
            b[0] = None
            self.fail("Didn't raise TypeError")
        except TypeError:
            pass

    def test_delitem(self):
        b = bytearray(range(10))
        del b[0]
        self.assertEqual(b, bytearray(range(1, 10)))
        del b[-1]
        self.assertEqual(b, bytearray(range(1, 9)))
        del b[4]
        self.assertEqual(b, bytearray([1, 2, 3, 4, 6, 7, 8]))

    def test_setslice(self):
        b = bytearray(range(10))
        self.assertEqual(list(b), list(range(10)))

        b[0:5] = bytearray([1, 1, 1, 1, 1])
        self.assertEqual(b, bytearray([1, 1, 1, 1, 1, 5, 6, 7, 8, 9]))

        del b[0:-5]
        self.assertEqual(b, bytearray([5, 6, 7, 8, 9]))

        b[0:0] = bytearray([0, 1, 2, 3, 4])
        self.assertEqual(b, bytearray(range(10)))

        b[-7:-3] = bytearray([100, 101])
        self.assertEqual(b, bytearray([0, 1, 2, 100, 101, 7, 8, 9]))

        b[3:5] = [3, 4, 5, 6]
        self.assertEqual(b, bytearray(range(10)))

        b[3:0] = [42, 42, 42]
        self.assertEqual(b, bytearray([0, 1, 2, 42, 42, 42, 3, 4, 5, 6, 7, 8, 9]))

        b[3:] = b'foo'
        self.assertEqual(b, bytearray([0, 1, 2, 102, 111, 111]))

        b[:3] = memoryview(b'foo')
        self.assertEqual(b, bytearray([102, 111, 111, 102, 111, 111]))

        b[3:4] = []
        self.assertEqual(b, bytearray([102, 111, 111, 111, 111]))

        for elem in [5, -5, 0, int(10e20), 'str', 2.3,
                     ['a', 'b'], [b'a', b'b'], [[]]]:
            with self.assertRaises(TypeError):
                b[3:4] = elem

        for elem in [[254, 255, 256], [-256, 9000]]:
            with self.assertRaises(ValueError):
                b[3:4] = elem

    def test_extended_set_del_slice(self):
        indices = (0, None, 1, 3, 19, 300, 1<<333, -1, -2, -31, -300)
        for start in indices:
            for stop in indices:
                # Skip invalid step 0
                for step in indices[1:]:
                    L = list(range(255))
                    b = bytearray(L)
                    # Make sure we have a slice of exactly the right length,
                    # but with different data.
                    data = L[start:stop:step]
                    data.reverse()
                    L[start:stop:step] = data
                    b[start:stop:step] = data
                    self.assertEqual(b, bytearray(L))

                    del L[start:stop:step]
                    del b[start:stop:step]
                    self.assertEqual(b, bytearray(L))

    def test_setslice_trap(self):
        # This test verifies that we correctly handle assigning self
        # to a slice of self (the old Lambert Meertens trap).
        b = bytearray(range(256))
        b[8:] = b
        self.assertEqual(b, bytearray(list(range(8)) + list(range(256))))

    def test_iconcat(self):
        b = bytearray(b"abc")
        b1 = b
        b += b"def"
        self.assertEqual(b, b"abcdef")
        self.assertEqual(b, b1)
        self.assertTrue(b is b1)
        b += b"xyz"
        self.assertEqual(b, b"abcdefxyz")
        try:
            b += ""
        except TypeError:
            pass
        else:
            self.fail("bytes += unicode didn't raise TypeError")

    def test_irepeat(self):
        b = bytearray(b"abc")
        b1 = b
        b *= 3
        self.assertEqual(b, b"abcabcabc")
        self.assertEqual(b, b1)
        self.assertTrue(b is b1)

    def test_irepeat_1char(self):
        b = bytearray(b"x")
        b1 = b
        b *= 100
        self.assertEqual(b, b"x"*100)
        self.assertEqual(b, b1)
        self.assertTrue(b is b1)

    def test_alloc(self):
        b = bytearray()
        alloc = b.__alloc__()
        self.assertTrue(alloc >= 0)
        seq = [alloc]
        for i in range(100):
            b += b"x"
            alloc = b.__alloc__()
            self.assertTrue(alloc >= len(b))
            if alloc not in seq:
                seq.append(alloc)

    def test_extend(self):
        orig = b'hello'
        a = bytearray(orig)
        a.extend(a)
        self.assertEqual(a, orig + orig)
        self.assertEqual(a[5:], orig)
        a = bytearray(b'')
        # Test iterators that don't have a __length_hint__
        a.extend(map(int, orig * 25))
        a.extend(int(x) for x in orig * 25)
        self.assertEqual(a, orig * 50)
        self.assertEqual(a[-5:], orig)
        a = bytearray(b'')
        a.extend(iter(map(int, orig * 50)))
        self.assertEqual(a, orig * 50)
        self.assertEqual(a[-5:], orig)
        a = bytearray(b'')
        a.extend(list(map(int, orig * 50)))
        self.assertEqual(a, orig * 50)
        self.assertEqual(a[-5:], orig)
        a = bytearray(b'')
        self.assertRaises(ValueError, a.extend, [0, 1, 2, 256])
        self.assertRaises(ValueError, a.extend, [0, 1, 2, -1])
        self.assertEqual(len(a), 0)
        a = bytearray(b'')
        a.extend([Indexable(ord('a'))])
        self.assertEqual(a, b'a')

    def test_remove(self):
        b = bytearray(b'hello')
        b.remove(ord('l'))
        self.assertEqual(b, b'helo')
        b.remove(ord('l'))
        self.assertEqual(b, b'heo')
        self.assertRaises(ValueError, lambda: b.remove(ord('l')))
        self.assertRaises(ValueError, lambda: b.remove(400))
        self.assertRaises(TypeError, lambda: b.remove('e'))
        # remove first and last
        b.remove(ord('o'))
        b.remove(ord('h'))
        self.assertEqual(b, b'e')
        self.assertRaises(TypeError, lambda: b.remove(b'e'))
        b.remove(Indexable(ord('e')))
        self.assertEqual(b, b'')

    def test_pop(self):
        b = bytearray(b'world')
        self.assertEqual(b.pop(), ord('d'))
        self.assertEqual(b.pop(0), ord('w'))
        self.assertEqual(b.pop(-2), ord('r'))
        self.assertRaises(IndexError, lambda: b.pop(10))
        self.assertRaises(IndexError, lambda: bytearray().pop())
        # test for issue #6846
        self.assertEqual(bytearray(b'\xff').pop(), 0xff)

    def test_nosort(self):
        self.assertRaises(AttributeError, lambda: bytearray().sort())

    def test_append(self):
        b = bytearray(b'hell')
        b.append(ord('o'))
        self.assertEqual(b, b'hello')
        self.assertEqual(b.append(100), None)
        b = bytearray()
        b.append(ord('A'))
        self.assertEqual(len(b), 1)
        self.assertRaises(TypeError, lambda: b.append(b'o'))
        b = bytearray()
        b.append(Indexable(ord('A')))
        self.assertEqual(b, b'A')

    def test_insert(self):
        b = bytearray(b'msssspp')
        b.insert(1, ord('i'))
        b.insert(4, ord('i'))
        b.insert(-2, ord('i'))
        b.insert(1000, ord('i'))
        self.assertEqual(b, b'mississippi')
        self.assertRaises(TypeError, lambda: b.insert(0, b'1'))
        b = bytearray()
        b.insert(0, Indexable(ord('A')))
        self.assertEqual(b, b'A')

    def test_copied(self):
        # Issue 4348.  Make sure that operations that don't mutate the array
        # copy the bytes.
        b = bytearray(b'abc')
        self.assertFalse(b is b.replace(b'abc', b'cde', 0))

        t = bytearray([i for i in range(256)])
        x = bytearray(b'')
        self.assertFalse(x is x.translate(t))

    def test_partition_bytearray_doesnt_share_nullstring(self):
        a, b, c = bytearray(b"x").partition(b"y")
        self.assertEqual(b, b"")
        self.assertEqual(c, b"")
        self.assertTrue(b is not c)
        b += b"!"
        self.assertEqual(c, b"")
        a, b, c = bytearray(b"x").partition(b"y")
        self.assertEqual(b, b"")
        self.assertEqual(c, b"")
        # Same for rpartition
        b, c, a = bytearray(b"x").rpartition(b"y")
        self.assertEqual(b, b"")
        self.assertEqual(c, b"")
        self.assertTrue(b is not c)
        b += b"!"
        self.assertEqual(c, b"")
        c, b, a = bytearray(b"x").rpartition(b"y")
        self.assertEqual(b, b"")
        self.assertEqual(c, b"")

    def test_resize_forbidden(self):
        # #4509: can't resize a bytearray when there are buffer exports, even
        # if it wouldn't reallocate the underlying buffer.
        # Furthermore, no destructive changes to the buffer may be applied
        # before raising the error.
        b = bytearray(range(10))
        v = memoryview(b)
        def resize(n):
            b[1:-1] = range(n + 1, 2*n - 1)
        resize(10)
        orig = b[:]
        self.assertRaises(BufferError, resize, 11)
        self.assertEqual(b, orig)
        self.assertRaises(BufferError, resize, 9)
        self.assertEqual(b, orig)
        self.assertRaises(BufferError, resize, 0)
        self.assertEqual(b, orig)
        # Other operations implying resize
        self.assertRaises(BufferError, b.pop, 0)
        self.assertEqual(b, orig)
        self.assertRaises(BufferError, b.remove, b[1])
        self.assertEqual(b, orig)
        def delitem():
            del b[1]
        self.assertRaises(BufferError, delitem)
        self.assertEqual(b, orig)
        # deleting a non-contiguous slice
        def delslice():
            b[1:-1:2] = b""
        self.assertRaises(BufferError, delslice)
        self.assertEqual(b, orig)


class AssortedBytesTest(unittest.TestCase):
    #
    # Test various combinations of bytes and bytearray
    #

    @check_bytes_warnings
    def test_repr_str(self):
        for f in str, repr:
            self.assertEqual(f(bytearray()), "bytearray(b'')")
            self.assertEqual(f(bytearray([0])), "bytearray(b'\\x00')")
            self.assertEqual(f(bytearray([0, 1, 254, 255])),
                             "bytearray(b'\\x00\\x01\\xfe\\xff')")
            self.assertEqual(f(b"abc"), "b'abc'")
            self.assertEqual(f(b"'"), '''b"'"''') # '''
            self.assertEqual(f(b"'\""), r"""b'\'"'""") # '

    def test_compare_bytes_to_bytearray(self):
        self.assertEqual(b"abc" == bytes(b"abc"), True)
        self.assertEqual(b"ab" != bytes(b"abc"), True)
        self.assertEqual(b"ab" <= bytes(b"abc"), True)
        self.assertEqual(b"ab" < bytes(b"abc"), True)
        self.assertEqual(b"abc" >= bytes(b"ab"), True)
        self.assertEqual(b"abc" > bytes(b"ab"), True)

        self.assertEqual(b"abc" != bytes(b"abc"), False)
        self.assertEqual(b"ab" == bytes(b"abc"), False)
        self.assertEqual(b"ab" > bytes(b"abc"), False)
        self.assertEqual(b"ab" >= bytes(b"abc"), False)
        self.assertEqual(b"abc" < bytes(b"ab"), False)
        self.assertEqual(b"abc" <= bytes(b"ab"), False)

        self.assertEqual(bytes(b"abc") == b"abc", True)
        self.assertEqual(bytes(b"ab") != b"abc", True)
        self.assertEqual(bytes(b"ab") <= b"abc", True)
        self.assertEqual(bytes(b"ab") < b"abc", True)
        self.assertEqual(bytes(b"abc") >= b"ab", True)
        self.assertEqual(bytes(b"abc") > b"ab", True)

        self.assertEqual(bytes(b"abc") != b"abc", False)
        self.assertEqual(bytes(b"ab") == b"abc", False)
        self.assertEqual(bytes(b"ab") > b"abc", False)
        self.assertEqual(bytes(b"ab") >= b"abc", False)
        self.assertEqual(bytes(b"abc") < b"ab", False)
        self.assertEqual(bytes(b"abc") <= b"ab", False)

    @test.support.requires_docstrings
    def test_doc(self):
        self.assertIsNotNone(bytearray.__doc__)
        self.assertTrue(bytearray.__doc__.startswith("bytearray("), bytearray.__doc__)
        self.assertIsNotNone(bytes.__doc__)
        self.assertTrue(bytes.__doc__.startswith("bytes("), bytes.__doc__)

    def test_from_bytearray(self):
        sample = bytes(b"Hello world\n\x80\x81\xfe\xff")
        buf = memoryview(sample)
        b = bytearray(buf)
        self.assertEqual(b, bytearray(sample))

    @check_bytes_warnings
    def test_to_str(self):
        self.assertEqual(str(b''), "b''")
        self.assertEqual(str(b'x'), "b'x'")
        self.assertEqual(str(b'\x80'), "b'\\x80'")
        self.assertEqual(str(bytearray(b'')), "bytearray(b'')")
        self.assertEqual(str(bytearray(b'x')), "bytearray(b'x')")
        self.assertEqual(str(bytearray(b'\x80')), "bytearray(b'\\x80')")

    def test_literal(self):
        tests =  [
            (b"Wonderful spam", "Wonderful spam"),
            (br"Wonderful spam too", "Wonderful spam too"),
            (b"\xaa\x00\000\200", "\xaa\x00\000\200"),
            (br"\xaa\x00\000\200", r"\xaa\x00\000\200"),
        ]
        for b, s in tests:
            self.assertEqual(b, bytearray(s, 'latin-1'))
        for c in range(128, 256):
            self.assertRaises(SyntaxError, eval,
                              'b"%s"' % chr(c))

    def test_translate(self):
        b = b'hello'
        ba = bytearray(b)
        rosetta = bytearray(range(0, 256))
        rosetta[ord('o')] = ord('e')
        c = b.translate(rosetta, b'l')
        self.assertEqual(b, b'hello')
        self.assertEqual(c, b'hee')
        c = ba.translate(rosetta, b'l')
        self.assertEqual(ba, b'hello')
        self.assertEqual(c, b'hee')
        c = b.translate(None, b'e')
        self.assertEqual(c, b'hllo')
        c = ba.translate(None, b'e')
        self.assertEqual(c, b'hllo')
        self.assertRaises(TypeError, b.translate, None, None)
        self.assertRaises(TypeError, ba.translate, None, None)

    def test_split_bytearray(self):
        self.assertEqual(b'a b'.split(memoryview(b' ')), [b'a', b'b'])

    def test_rsplit_bytearray(self):
        self.assertEqual(b'a b'.rsplit(memoryview(b' ')), [b'a', b'b'])

    def test_return_self(self):
        # bytearray.replace must always return a new bytearray
        b = bytearray()
        self.assertFalse(b.replace(b'', b'') is b)

    def test_compare(self):
        if sys.flags.bytes_warning:
            def bytes_warning():
                return test.support.check_warnings(('', BytesWarning))
            with bytes_warning():
                b'' == ''
            with bytes_warning():
                b'' != ''
            with bytes_warning():
                bytearray(b'') == ''
            with bytes_warning():
                bytearray(b'') != ''
        else:
            self.skipTest("BytesWarning is needed for this test: use -bb option")

    # Optimizations:
    # __iter__? (optimization)
    # __reversed__? (optimization)

    # XXX More string methods?  (Those that don't use character properties)

    # There are tests in string_tests.py that are more
    # comprehensive for things like split, partition, etc.
    # Unfortunately they are all bundled with tests that
    # are not appropriate for bytes

    # I've started porting some of those into bytearray_tests.py, we should port
    # the rest that make sense (the code can be cleaned up to use modern
    # unittest methods at the same time).

class BytearrayPEP3137Test(unittest.TestCase,
                       test.buffer_tests.MixinBytesBufferCommonTests):
    def marshal(self, x):
        return bytearray(x)

    def test_returns_new_copy(self):
        val = self.marshal(b'1234')
        # On immutable types these MAY return a reference to themselves
        # but on mutable types like bytearray they MUST return a new copy.
        for methname in ('zfill', 'rjust', 'ljust', 'center'):
            method = getattr(val, methname)
            newval = method(3)
            self.assertEqual(val, newval)
            self.assertTrue(val is not newval,
                            methname+' returned self on a mutable object')
        for expr in ('val.split()[0]', 'val.rsplit()[0]',
                     'val.partition(b".")[0]', 'val.rpartition(b".")[2]',
                     'val.splitlines()[0]', 'val.replace(b"", b"")'):
            newval = eval(expr)
            self.assertEqual(val, newval)
            self.assertTrue(val is not newval,
                            expr+' returned val on a mutable object')

class FixedStringTest(test.string_tests.BaseTest):

    def fixtype(self, obj):
        if isinstance(obj, str):
            return obj.encode("utf-8")
        return super().fixtype(obj)

    # Currently the bytes containment testing uses a single integer
    # value. This may not be the final design, but until then the
    # bytes section with in a bytes containment not valid
    def test_contains(self):
        pass
    def test_expandtabs(self):
        pass
    def test_upper(self):
        pass
    def test_lower(self):
        pass

class ByteArrayAsStringTest(FixedStringTest, unittest.TestCase):
    type2test = bytearray
    contains_bytes = True

class BytesAsStringTest(FixedStringTest, unittest.TestCase):
    type2test = bytes
    contains_bytes = True


class SubclassTest:

    def test_basic(self):
        self.assertTrue(issubclass(self.subclass2test, self.type2test))
        self.assertIsInstance(self.subclass2test(), self.type2test)

        a, b = b"abcd", b"efgh"
        _a, _b = self.subclass2test(a), self.subclass2test(b)

        # test comparison operators with subclass instances
        self.assertTrue(_a == _a)
        self.assertTrue(_a != _b)
        self.assertTrue(_a < _b)
        self.assertTrue(_a <= _b)
        self.assertTrue(_b >= _a)
        self.assertTrue(_b > _a)
        self.assertTrue(_a is not a)

        # test concat of subclass instances
        self.assertEqual(a + b, _a + _b)
        self.assertEqual(a + b, a + _b)
        self.assertEqual(a + b, _a + b)

        # test repeat
        self.assertTrue(a*5 == _a*5)

    def test_join(self):
        # Make sure join returns a NEW object for single item sequences
        # involving a subclass.
        # Make sure that it is of the appropriate type.
        s1 = self.subclass2test(b"abcd")
        s2 = self.type2test().join([s1])
        self.assertTrue(s1 is not s2)
        self.assertTrue(type(s2) is self.type2test, type(s2))

        # Test reverse, calling join on subclass
        s3 = s1.join([b"abcd"])
        self.assertTrue(type(s3) is self.type2test)

    def test_pickle(self):
        a = self.subclass2test(b"abcd")
        a.x = 10
        a.y = self.subclass2test(b"efgh")
        for proto in range(pickle.HIGHEST_PROTOCOL + 1):
            b = pickle.loads(pickle.dumps(a, proto))
            self.assertNotEqual(id(a), id(b))
            self.assertEqual(a, b)
            self.assertEqual(a.x, b.x)
            self.assertEqual(a.y, b.y)
            self.assertEqual(type(a), type(b))
            self.assertEqual(type(a.y), type(b.y))

    def test_copy(self):
        a = self.subclass2test(b"abcd")
        a.x = 10
        a.y = self.subclass2test(b"efgh")
        for copy_method in (copy.copy, copy.deepcopy):
            b = copy_method(a)
            self.assertNotEqual(id(a), id(b))
            self.assertEqual(a, b)
            self.assertEqual(a.x, b.x)
            self.assertEqual(a.y, b.y)
            self.assertEqual(type(a), type(b))
            self.assertEqual(type(a.y), type(b.y))


class ByteArraySubclass(bytearray):
    pass

class BytesSubclass(bytes):
    pass

class ByteArraySubclassTest(SubclassTest, unittest.TestCase):
    type2test = bytearray
    subclass2test = ByteArraySubclass

    def test_init_override(self):
        class subclass(bytearray):
            def __init__(me, newarg=1, *args, **kwargs):
                bytearray.__init__(me, *args, **kwargs)
        x = subclass(4, b"abcd")
        x = subclass(4, source=b"abcd")
        self.assertEqual(x, b"abcd")
        x = subclass(newarg=4, source=b"abcd")
        self.assertEqual(x, b"abcd")


class BytesSubclassTest(SubclassTest, unittest.TestCase):
    type2test = bytes
    subclass2test = BytesSubclass


if __name__ == "__main__":
    unittest.main()
span>,108,40,0,0,0, 0,40,0,0,0,0,117,29,0,0,0,60,102,114,111,122, 101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,111, 111,116,115,116,114,97,112,62,117,11,0,0,0,95,112,97, 116,104,95,115,112,108,105,116,86,0,0,0,115,14,0,0, 0,0,2,19,1,12,1,6,1,8,2,6,1,24,1,117, 11,0,0,0,95,112,97,116,104,95,115,112,108,105,116,99, 2,0,0,0,0,0,0,0,3,0,0,0,11,0,0,0, 67,0,0,0,115,61,0,0,0,121,19,0,116,0,0,106, 1,0,124,0,0,131,1,0,125,2,0,87,110,22,0,4, 116,2,0,107,10,0,114,43,0,1,1,1,100,2,0,83, 89,110,1,0,88,124,2,0,106,4,0,100,1,0,64,124, 1,0,107,2,0,83,40,3,0,0,0,117,49,0,0,0, 84,101,115,116,32,119,104,101,116,104,101,114,32,116,104,101, 32,112,97,116,104,32,105,115,32,116,104,101,32,115,112,101, 99,105,102,105,101,100,32,109,111,100,101,32,116,121,112,101, 46,105,0,240,0,0,70,40,5,0,0,0,117,3,0,0, 0,95,111,115,117,4,0,0,0,115,116,97,116,117,7,0, 0,0,79,83,69,114,114,111,114,117,5,0,0,0,70,97, 108,115,101,117,7,0,0,0,115,116,95,109,111,100,101,40, 3,0,0,0,117,4,0,0,0,112,97,116,104,117,4,0, 0,0,109,111,100,101,117,9,0,0,0,115,116,97,116,95, 105,110,102,111,40,0,0,0,0,40,0,0,0,0,117,29, 0,0,0,60,102,114,111,122,101,110,32,105,109,112,111,114, 116,108,105,98,46,95,98,111,111,116,115,116,114,97,112,62, 117,18,0,0,0,95,112,97,116,104,95,105,115,95,109,111, 100,101,95,116,121,112,101,98,0,0,0,115,10,0,0,0, 0,2,3,1,19,1,13,1,9,1,117,18,0,0,0,95, 112,97,116,104,95,105,115,95,109,111,100,101,95,116,121,112, 101,99,1,0,0,0,0,0,0,0,1,0,0,0,3,0, 0,0,67,0,0,0,115,13,0,0,0,116,0,0,124,0, 0,100,1,0,131,2,0,83,40,2,0,0,0,117,31,0, 0,0,82,101,112,108,97,99,101,109,101,110,116,32,102,111, 114,32,111,115,46,112,97,116,104,46,105,115,102,105,108,101, 46,105,0,128,0,0,40,1,0,0,0,117,18,0,0,0, 95,112,97,116,104,95,105,115,95,109,111,100,101,95,116,121, 112,101,40,1,0,0,0,117,4,0,0,0,112,97,116,104, 40,0,0,0,0,40,0,0,0,0,117,29,0,0,0,60, 102,114,111,122,101,110,32,105,109,112,111,114,116,108,105,98, 46,95,98,111,111,116,115,116,114,97,112,62,117,12,0,0, 0,95,112,97,116,104,95,105,115,102,105,108,101,108,0,0, 0,115,2,0,0,0,0,2,117,12,0,0,0,95,112,97, 116,104,95,105,115,102,105,108,101,99,1,0,0,0,0,0, 0,0,1,0,0,0,3,0,0,0,67,0,0,0,115,34, 0,0,0,124,0,0,115,21,0,116,0,0,106,1,0,131, 0,0,125,0,0,110,0,0,116,2,0,124,0,0,100,1, 0,131,2,0,83,40,2,0,0,0,117,30,0,0,0,82, 101,112,108,97,99,101,109,101,110,116,32,102,111,114,32,111, 115,46,112,97,116,104,46,105,115,100,105,114,46,105,0,64, 0,0,40,3,0,0,0,117,3,0,0,0,95,111,115,117, 6,0,0,0,103,101,116,99,119,100,117,18,0,0,0,95, 112,97,116,104,95,105,115,95,109,111,100,101,95,116,121,112, 101,40,1,0,0,0,117,4,0,0,0,112,97,116,104,40, 0,0,0,0,40,0,0,0,0,117,29,0,0,0,60,102, 114,111,122,101,110,32,105,109,112,111,114,116,108,105,98,46, 95,98,111,111,116,115,116,114,97,112,62,117,11,0,0,0, 95,112,97,116,104,95,105,115,100,105,114,114,0,0,0,115, 6,0,0,0,0,2,6,1,15,1,117,11,0,0,0,95, 112,97,116,104,95,105,115,100,105,114,99,2,0,0,0,0, 0,0,0,5,0,0,0,17,0,0,0,67,0,0,0,115, 188,0,0,0,100,1,0,106,0,0,124,0,0,116,1,0, 124,0,0,131,1,0,131,2,0,125,2,0,116,2,0,106, 3,0,124,2,0,116,2,0,106,4,0,116,2,0,106,5, 0,66,116,2,0,106,6,0,66,100,2,0,131,3,0,125, 3,0,121,60,0,116,7,0,106,8,0,124,3,0,100,3, 0,131,2,0,143,20,0,125,4,0,124,4,0,106,9,0, 124,1,0,131,1,0,1,87,100,4,0,81,88,116,2,0, 106,10,0,124,2,0,124,0,0,131,2,0,1,87,110,59, 0,4,116,11,0,107,10,0,114,183,0,1,1,1,121,17, 0,116,2,0,106,12,0,124,2,0,131,1,0,1,87,110, 18,0,4,116,11,0,107,10,0,114,175,0,1,1,1,89, 110,1,0,88,130,0,0,89,110,1,0,88,100,4,0,83, 40,5,0,0,0,117,162,0,0,0,66,101,115,116,45,101, 102,102,111,114,116,32,102,117,110,99,116,105,111,110,32,116, 111,32,119,114,105,116,101,32,100,97,116,97,32,116,111,32, 97,32,112,97,116,104,32,97,116,111,109,105,99,97,108,108, 121,46,10,32,32,32,32,66,101,32,112,114,101,112,97,114, 101,100,32,116,111,32,104,97,110,100,108,101,32,97,32,70, 105,108,101,69,120,105,115,116,115,69,114,114,111,114,32,105, 102,32,99,111,110,99,117,114,114,101,110,116,32,119,114,105, 116,105,110,103,32,111,102,32,116,104,101,10,32,32,32,32, 116,101,109,112,111,114,97,114,121,32,102,105,108,101,32,105, 115,32,97,116,116,101,109,112,116,101,100,46,117,5,0,0, 0,123,125,46,123,125,105,182,1,0,0,117,2,0,0,0, 119,98,78,40,13,0,0,0,117,6,0,0,0,102,111,114, 109,97,116,117,2,0,0,0,105,100,117,3,0,0,0,95, 111,115,117,4,0,0,0,111,112,101,110,117,6,0,0,0, 79,95,69,88,67,76,117,7,0,0,0,79,95,67,82,69, 65,84,117,8,0,0,0,79,95,87,82,79,78,76,89,117, 3,0,0,0,95,105,111,117,6,0,0,0,70,105,108,101, 73,79,117,5,0,0,0,119,114,105,116,101,117,7,0,0, 0,114,101,112,108,97,99,101,117,7,0,0,0,79,83,69, 114,114,111,114,117,6,0,0,0,117,110,108,105,110,107,40, 5,0,0,0,117,4,0,0,0,112,97,116,104,117,4,0, 0,0,100,97,116,97,117,8,0,0,0,112,97,116,104,95, 116,109,112,117,2,0,0,0,102,100,117,4,0,0,0,102, 105,108,101,40,0,0,0,0,40,0,0,0,0,117,29,0, 0,0,60,102,114,111,122,101,110,32,105,109,112,111,114,116, 108,105,98,46,95,98,111,111,116,115,116,114,97,112,62,117, 13,0,0,0,95,119,114,105,116,101,95,97,116,111,109,105, 99,121,0,0,0,115,24,0,0,0,0,5,24,1,38,1, 3,3,21,1,19,1,20,1,13,1,3,1,17,1,13,1, 5,1,117,13,0,0,0,95,119,114,105,116,101,95,97,116, 111,109,105,99,99,2,0,0,0,0,0,0,0,3,0,0, 0,7,0,0,0,67,0,0,0,115,95,0,0,0,120,69, 0,100,1,0,100,2,0,100,3,0,100,4,0,103,4,0, 68,93,49,0,125,2,0,116,0,0,124,1,0,124,2,0, 131,2,0,114,19,0,116,1,0,124,0,0,124,2,0,116, 2,0,124,1,0,124,2,0,131,2,0,131,3,0,1,113, 19,0,113,19,0,87,124,0,0,106,3,0,106,4,0,124, 1,0,106,3,0,131,1,0,1,100,5,0,83,40,6,0, 0,0,117,38,0,0,0,83,105,109,112,108,101,32,115,117, 98,115,116,105,116,117,116,101,32,102,111,114,32,102,117,110, 99,116,111,111,108,115,46,119,114,97,112,115,46,117,10,0, 0,0,95,95,109,111,100,117,108,101,95,95,117,8,0,0, 0,95,95,110,97,109,101,95,95,117,12,0,0,0,95,95, 113,117,97,108,110,97,109,101,95,95,117,7,0,0,0,95, 95,100,111,99,95,95,78,40,5,0,0,0,117,7,0,0, 0,104,97,115,97,116,116,114,117,7,0,0,0,115,101,116, 97,116,116,114,117,7,0,0,0,103,101,116,97,116,116,114, 117,8,0,0,0,95,95,100,105,99,116,95,95,117,6,0, 0,0,117,112,100,97,116,101,40,3,0,0,0,117,3,0, 0,0,110,101,119,117,3,0,0,0,111,108,100,117,7,0, 0,0,114,101,112,108,97,99,101,40,0,0,0,0,40,0, 0,0,0,117,29,0,0,0,60,102,114,111,122,101,110,32, 105,109,112,111,114,116,108,105,98,46,95,98,111,111,116,115, 116,114,97,112,62,117,5,0,0,0,95,119,114,97,112,142, 0,0,0,115,8,0,0,0,0,2,25,1,15,1,32,1, 117,5,0,0,0,95,119,114,97,112,99,1,0,0,0,0, 0,0,0,1,0,0,0,2,0,0,0,67,0,0,0,115, 16,0,0,0,116,0,0,116,1,0,131,1,0,124,0,0, 131,1,0,83,40,1,0,0,0,117,75,0,0,0,67,114, 101,97,116,101,32,97,32,110,101,119,32,109,111,100,117,108, 101,46,10,10,32,32,32,32,84,104,101,32,109,111,100,117, 108,101,32,105,115,32,110,111,116,32,101,110,116,101,114,101, 100,32,105,110,116,111,32,115,121,115,46,109,111,100,117,108, 101,115,46,10,10,32,32,32,32,40,2,0,0,0,117,4, 0,0,0,116,121,112,101,117,3,0,0,0,95,105,111,40, 1,0,0,0,117,4,0,0,0,110,97,109,101,40,0,0, 0,0,40,0,0,0,0,117,29,0,0,0,60,102,114,111, 122,101,110,32,105,109,112,111,114,116,108,105,98,46,95,98, 111,111,116,115,116,114,97,112,62,117,10,0,0,0,110,101, 119,95,109,111,100,117,108,101,153,0,0,0,115,2,0,0, 0,0,6,117,10,0,0,0,110,101,119,95,109,111,100,117, 108,101,99,1,0,0,0,0,0,0,0,1,0,0,0,1, 0,0,0,66,0,0,0,115,20,0,0,0,124,0,0,69, 101,0,0,90,1,0,100,0,0,90,2,0,100,1,0,83, 40,2,0,0,0,117,14,0,0,0,95,68,101,97,100,108, 111,99,107,69,114,114,111,114,78,40,3,0,0,0,117,8, 0,0,0,95,95,110,97,109,101,95,95,117,10,0,0,0, 95,95,109,111,100,117,108,101,95,95,117,12,0,0,0,95, 95,113,117,97,108,110,97,109,101,95,95,40,1,0,0,0, 117,10,0,0,0,95,95,108,111,99,97,108,115,95,95,40, 0,0,0,0,40,0,0,0,0,117,29,0,0,0,60,102, 114,111,122,101,110,32,105,109,112,111,114,116,108,105,98,46, 95,98,111,111,116,115,116,114,97,112,62,117,14,0,0,0, 95,68,101,97,100,108,111,99,107,69,114,114,111,114,170,0, 0,0,115,2,0,0,0,16,1,117,14,0,0,0,95,68, 101,97,100,108,111,99,107,69,114,114,111,114,99,1,0,0, 0,0,0,0,0,1,0,0,0,2,0,0,0,66,0,0, 0,115,86,0,0,0,124,0,0,69,101,0,0,90,1,0, 100,0,0,90,2,0,100,1,0,90,3,0,100,2,0,100, 3,0,132,0,0,90,4,0,100,4,0,100,5,0,132,0, 0,90,5,0,100,6,0,100,7,0,132,0,0,90,6,0, 100,8,0,100,9,0,132,0,0,90,7,0,100,10,0,100, 11,0,132,0,0,90,8,0,100,12,0,83,40,13,0,0, 0,117,11,0,0,0,95,77,111,100,117,108,101,76,111,99, 107,117,169,0,0,0,65,32,114,101,99,117,114,115,105,118, 101,32,108,111,99,107,32,105,109,112,108,101,109,101,110,116, 97,116,105,111,110,32,119,104,105,99,104,32,105,115,32,97, 98,108,101,32,116,111,32,100,101,116,101,99,116,32,100,101, 97,100,108,111,99,107,115,10,32,32,32,32,40,101,46,103, 46,32,116,104,114,101,97,100,32,49,32,116,114,121,105,110, 103,32,116,111,32,116,97,107,101,32,108,111,99,107,115,32, 65,32,116,104,101,110,32,66,44,32,97,110,100,32,116,104, 114,101,97,100,32,50,32,116,114,121,105,110,103,32,116,111, 10,32,32,32,32,116,97,107,101,32,108,111,99,107,115,32, 66,32,116,104,101,110,32,65,41,46,10,32,32,32,32,99, 2,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0, 67,0,0,0,115,70,0,0,0,116,0,0,106,1,0,131, 0,0,124,0,0,95,2,0,116,0,0,106,1,0,131,0, 0,124,0,0,95,3,0,124,1,0,124,0,0,95,4,0, 100,0,0,124,0,0,95,6,0,100,1,0,124,0,0,95, 7,0,100,1,0,124,0,0,95,8,0,100,0,0,83,40, 2,0,0,0,78,105,0,0,0,0,40,9,0,0,0,117, 7,0,0,0,95,116,104,114,101,97,100,117,13,0,0,0, 97,108,108,111,99,97,116,101,95,108,111,99,107,117,4,0, 0,0,108,111,99,107,117,6,0,0,0,119,97,107,101,117, 112,117,4,0,0,0,110,97,109,101,117,4,0,0,0,78, 111,110,101,117,5,0,0,0,111,119,110,101,114,117,5,0, 0,0,99,111,117,110,116,117,7,0,0,0,119,97,105,116, 101,114,115,40,2,0,0,0,117,4,0,0,0,115,101,108, 102,117,4,0,0,0,110,97,109,101,40,0,0,0,0,40, 0,0,0,0,117,29,0,0,0,60,102,114,111,122,101,110, 32,105,109,112,111,114,116,108,105,98,46,95,98,111,111,116, 115,116,114,97,112,62,117,8,0,0,0,95,95,105,110,105, 116,95,95,180,0,0,0,115,12,0,0,0,0,1,15,1, 15,1,9,1,9,1,9,1,117,20,0,0,0,95,77,111, 100,117,108,101,76,111,99,107,46,95,95,105,110,105,116,95, 95,99,1,0,0,0,0,0,0,0,4,0,0,0,2,0, 0,0,67,0,0,0,115,87,0,0,0,116,0,0,106,1, 0,131,0,0,125,1,0,124,0,0,106,2,0,125,2,0, 120,59,0,116,3,0,106,4,0,124,2,0,131,1,0,125, 3,0,124,3,0,100,0,0,107,8,0,114,55,0,100,1, 0,83,124,3,0,106,2,0,125,2,0,124,2,0,124,1, 0,107,2,0,114,24,0,100,2,0,83,113,24,0,100,0, 0,83,40,3,0,0,0,78,70,84,40,8,0,0,0,117, 7,0,0,0,95,116,104,114,101,97,100,117,9,0,0,0, 103,101,116,95,105,100,101,110,116,117,5,0,0,0,111,119, 110,101,114,117,12,0,0,0,95,98,108,111,99,107,105,110, 103,95,111,110,117,3,0,0,0,103,101,116,117,4,0,0, 0,78,111,110,101,117,5,0,0,0,70,97,108,115,101,117, 4,0,0,0,84,114,117,101,40,4,0,0,0,117,4,0, 0,0,115,101,108,102,117,2,0,0,0,109,101,117,3,0, 0,0,116,105,100,117,4,0,0,0,108,111,99,107,40,0, 0,0,0,40,0,0,0,0,117,29,0,0,0,60,102,114, 111,122,101,110,32,105,109,112,111,114,116,108,105,98,46,95, 98,111,111,116,115,116,114,97,112,62,117,12,0,0,0,104, 97,115,95,100,101,97,100,108,111,99,107,188,0,0,0,115, 18,0,0,0,0,2,12,1,9,1,3,1,15,1,12,1, 4,1,9,1,12,1,117,24,0,0,0,95,77,111,100,117, 108,101,76,111,99,107,46,104,97,115,95,100,101,97,100,108, 111,99,107,99,1,0,0,0,0,0,0,0,2,0,0,0, 17,0,0,0,67,0,0,0,115,214,0,0,0,116,0,0, 106,1,0,131,0,0,125,1,0,124,0,0,116,2,0,124, 1,0,60,122,177,0,120,170,0,124,0,0,106,3,0,143, 130,0,1,124,0,0,106,4,0,100,1,0,107,2,0,115, 68,0,124,0,0,106,5,0,124,1,0,107,2,0,114,96, 0,124,1,0,124,0,0,95,5,0,124,0,0,4,106,4, 0,100,2,0,55,2,95,4,0,100,5,0,83,124,0,0, 106,7,0,131,0,0,114,127,0,116,8,0,100,3,0,124, 0,0,22,131,1,0,130,1,0,110,0,0,124,0,0,106, 9,0,106,10,0,100,6,0,131,1,0,114,163,0,124,0, 0,4,106,12,0,100,2,0,55,2,95,12,0,110,0,0, 87,100,4,0,81,88,124,0,0,106,9,0,106,10,0,131, 0,0,1,124,0,0,106,9,0,106,13,0,131,0,0,1, 113,28,0,87,100,4,0,116,2,0,124,1,0,61,88,100, 4,0,83,40,7,0,0,0,117,185,0,0,0,10,32,32, 32,32,32,32,32,32,65,99,113,117,105,114,101,32,116,104, 101,32,109,111,100,117,108,101,32,108,111,99,107,46,32,32, 73,102,32,97,32,112,111,116,101,110,116,105,97,108,32,100, 101,97,100,108,111,99,107,32,105,115,32,100,101,116,101,99, 116,101,100,44,10,32,32,32,32,32,32,32,32,97,32,95, 68,101,97,100,108,111,99,107,69,114,114,111,114,32,105,115, 32,114,97,105,115,101,100,46,10,32,32,32,32,32,32,32, 32,79,116,104,101,114,119,105,115,101,44,32,116,104,101,32, 108,111,99,107,32,105,115,32,97,108,119,97,121,115,32,97, 99,113,117,105,114,101,100,32,97,110,100,32,84,114,117,101, 32,105,115,32,114,101,116,117,114,110,101,100,46,10,32,32, 32,32,32,32,32,32,105,0,0,0,0,105,1,0,0,0, 117,23,0,0,0,100,101,97,100,108,111,99,107,32,100,101, 116,101,99,116,101,100,32,98,121,32,37,114,78,84,70,40, 14,0,0,0,117,7,0,0,0,95,116,104,114,101,97,100, 117,9,0,0,0,103,101,116,95,105,100,101,110,116,117,12, 0,0,0,95,98,108,111,99,107,105,110,103,95,111,110,117, 4,0,0,0,108,111,99,107,117,5,0,0,0,99,111,117, 110,116,117,5,0,0,0,111,119,110,101,114,117,4,0,0, 0,84,114,117,101,117,12,0,0,0,104,97,115,95,100,101, 97,100,108,111,99,107,117,14,0,0,0,95,68,101,97,100, 108,111,99,107,69,114,114,111,114,117,6,0,0,0,119,97, 107,101,117,112,117,7,0,0,0,97,99,113,117,105,114,101, 117,5,0,0,0,70,97,108,115,101,117,7,0,0,0,119, 97,105,116,101,114,115,117,7,0,0,0,114,101,108,101,97, 115,101,40,2,0,0,0,117,4,0,0,0,115,101,108,102, 117,3,0,0,0,116,105,100,40,0,0,0,0,40,0,0, 0,0,117,29,0,0,0,60,102,114,111,122,101,110,32,105, 109,112,111,114,116,108,105,98,46,95,98,111,111,116,115,116, 114,97,112,62,117,7,0,0,0,97,99,113,117,105,114,101, 200,0,0,0,115,32,0,0,0,0,6,12,1,10,1,3, 1,3,1,10,1,30,1,9,1,15,1,4,1,12,1,19, 1,18,1,24,2,13,1,20,2,117,19,0,0,0,95,77, 111,100,117,108,101,76,111,99,107,46,97,99,113,117,105,114, 101,99,1,0,0,0,0,0,0,0,2,0,0,0,10,0, 0,0,67,0,0,0,115,165,0,0,0,116,0,0,106,1, 0,131,0,0,125,1,0,124,0,0,106,2,0,143,138,0, 1,124,0,0,106,3,0,124,1,0,107,3,0,114,52,0, 116,4,0,100,1,0,131,1,0,130,1,0,110,0,0,124, 0,0,106,5,0,100,2,0,107,4,0,115,73,0,116,6, 0,130,1,0,124,0,0,4,106,5,0,100,3,0,56,2, 95,5,0,124,0,0,106,5,0,100,2,0,107,2,0,114, 155,0,100,0,0,124,0,0,95,3,0,124,0,0,106,8, 0,114,155,0,124,0,0,4,106,8,0,100,3,0,56,2, 95,8,0,124,0,0,106,9,0,106,10,0,131,0,0,1, 113,155,0,110,0,0,87,100,0,0,81,88,100,0,0,83, 40,4,0,0,0,78,117,31,0,0,0,99,97,110,110,111, 116,32,114,101,108,101,97,115,101,32,117,110,45,97,99,113, 117,105,114,101,100,32,108,111,99,107,105,0,0,0,0,105, 1,0,0,0,40,11,0,0,0,117,7,0,0,0,95,116, 104,114,101,97,100,117,9,0,0,0,103,101,116,95,105,100, 101,110,116,117,4,0,0,0,108,111,99,107,117,5,0,0, 0,111,119,110,101,114,117,12,0,0,0,82,117,110,116,105, 109,101,69,114,114,111,114,117,5,0,0,0,99,111,117,110, 116,117,14,0,0,0,65,115,115,101,114,116,105,111,110,69, 114,114,111,114,117,4,0,0,0,78,111,110,101,117,7,0, 0,0,119,97,105,116,101,114,115,117,6,0,0,0,119,97, 107,101,117,112,117,7,0,0,0,114,101,108,101,97,115,101, 40,2,0,0,0,117,4,0,0,0,115,101,108,102,117,3, 0,0,0,116,105,100,40,0,0,0,0,40,0,0,0,0, 117,29,0,0,0,60,102,114,111,122,101,110,32,105,109,112, 111,114,116,108,105,98,46,95,98,111,111,116,115,116,114,97, 112,62,117,7,0,0,0,114,101,108,101,97,115,101,225,0, 0,0,115,22,0,0,0,0,1,12,1,10,1,15,1,15, 1,21,1,15,1,15,1,9,1,9,1,15,1,117,19,0, 0,0,95,77,111,100,117,108,101,76,111,99,107,46,114,101, 108,101,97,115,101,99,1,0,0,0,0,0,0,0,1,0, 0,0,4,0,0,0,67,0,0,0,115,23,0,0,0,100, 1,0,124,0,0,106,0,0,116,1,0,124,0,0,131,1, 0,102,2,0,22,83,40,2,0,0,0,78,117,21,0,0, 0,95,77,111,100,117,108,101,76,111,99,107,40,37,114,41, 32,97,116,32,37,100,40,2,0,0,0,117,4,0,0,0, 110,97,109,101,117,2,0,0,0,105,100,40,1,0,0,0, 117,4,0,0,0,115,101,108,102,40,0,0,0,0,40,0, 0,0,0,117,29,0,0,0,60,102,114,111,122,101,110,32, 105,109,112,111,114,116,108,105,98,46,95,98,111,111,116,115, 116,114,97,112,62,117,8,0,0,0,95,95,114,101,112,114, 95,95,238,0,0,0,115,2,0,0,0,0,1,117,20,0, 0,0,95,77,111,100,117,108,101,76,111,99,107,46,95,95, 114,101,112,114,95,95,78,40,9,0,0,0,117,8,0,0, 0,95,95,110,97,109,101,95,95,117,10,0,0,0,95,95, 109,111,100,117,108,101,95,95,117,12,0,0,0,95,95,113, 117,97,108,110,97,109,101,95,95,117,7,0,0,0,95,95, 100,111,99,95,95,117,8,0,0,0,95,95,105,110,105,116, 95,95,117,12,0,0,0,104,97,115,95,100,101,97,100,108, 111,99,107,117,7,0,0,0,97,99,113,117,105,114,101,117, 7,0,0,0,114,101,108,101,97,115,101,117,8,0,0,0, 95,95,114,101,112,114,95,95,40,1,0,0,0,117,10,0, 0,0,95,95,108,111,99,97,108,115,95,95,40,0,0,0, 0,40,0,0,0,0,117,29,0,0,0,60,102,114,111,122, 101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,111, 111,116,115,116,114,97,112,62,117,11,0,0,0,95,77,111, 100,117,108,101,76,111,99,107,174,0,0,0,115,12,0,0, 0,16,4,6,2,12,8,12,12,12,25,12,13,117,11,0, 0,0,95,77,111,100,117,108,101,76,111,99,107,99,1,0, 0,0,0,0,0,0,1,0,0,0,2,0,0,0,66,0, 0,0,115,74,0,0,0,124,0,0,69,101,0,0,90,1, 0,100,0,0,90,2,0,100,1,0,90,3,0,100,2,0, 100,3,0,132,0,0,90,4,0,100,4,0,100,5,0,132, 0,0,90,5,0,100,6,0,100,7,0,132,0,0,90,6, 0,100,8,0,100,9,0,132,0,0,90,7,0,100,10,0, 83,40,11,0,0,0,117,16,0,0,0,95,68,117,109,109, 121,77,111,100,117,108,101,76,111,99,107,117,86,0,0,0, 65,32,115,105,109,112,108,101,32,95,77,111,100,117,108,101, 76,111,99,107,32,101,113,117,105,118,97,108,101,110,116,32, 102,111,114,32,80,121,116,104,111,110,32,98,117,105,108,100, 115,32,119,105,116,104,111,117,116,10,32,32,32,32,109,117, 108,116,105,45,116,104,114,101,97,100,105,110,103,32,115,117, 112,112,111,114,116,46,99,2,0,0,0,0,0,0,0,2, 0,0,0,2,0,0,0,67,0,0,0,115,22,0,0,0, 124,1,0,124,0,0,95,0,0,100,1,0,124,0,0,95, 1,0,100,0,0,83,40,2,0,0,0,78,105,0,0,0, 0,40,2,0,0,0,117,4,0,0,0,110,97,109,101,117, 5,0,0,0,99,111,117,110,116,40,2,0,0,0,117,4, 0,0,0,115,101,108,102,117,4,0,0,0,110,97,109,101, 40,0,0,0,0,40,0,0,0,0,117,29,0,0,0,60, 102,114,111,122,101,110,32,105,109,112,111,114,116,108,105,98, 46,95,98,111,111,116,115,116,114,97,112,62,117,8,0,0, 0,95,95,105,110,105,116,95,95,246,0,0,0,115,4,0, 0,0,0,1,9,1,117,25,0,0,0,95,68,117,109,109, 121,77,111,100,117,108,101,76,111,99,107,46,95,95,105,110, 105,116,95,95,99,1,0,0,0,0,0,0,0,1,0,0, 0,3,0,0,0,67,0,0,0,115,19,0,0,0,124,0, 0,4,106,0,0,100,1,0,55,2,95,0,0,100,2,0, 83,40,3,0,0,0,78,105,1,0,0,0,84,40,2,0, 0,0,117,5,0,0,0,99,111,117,110,116,117,4,0,0, 0,84,114,117,101,40,1,0,0,0,117,4,0,0,0,115, 101,108,102,40,0,0,0,0,40,0,0,0,0,117,29,0, 0,0,60,102,114,111,122,101,110,32,105,109,112,111,114,116, 108,105,98,46,95,98,111,111,116,115,116,114,97,112,62,117, 7,0,0,0,97,99,113,117,105,114,101,250,0,0,0,115, 4,0,0,0,0,1,15,1,117,24,0,0,0,95,68,117, 109,109,121,77,111,100,117,108,101,76,111,99,107,46,97,99, 113,117,105,114,101,99,1,0,0,0,0,0,0,0,1,0, 0,0,3,0,0,0,67,0,0,0,115,49,0,0,0,124, 0,0,106,0,0,100,1,0,107,2,0,114,30,0,116,1, 0,100,2,0,131,1,0,130,1,0,110,0,0,124,0,0, 4,106,0,0,100,3,0,56,2,95,0,0,100,0,0,83, 40,4,0,0,0,78,105,0,0,0,0,117,31,0,0,0, 99,97,110,110,111,116,32,114,101,108,101,97,115,101,32,117, 110,45,97,99,113,117,105,114,101,100,32,108,111,99,107,105, 1,0,0,0,40,2,0,0,0,117,5,0,0,0,99,111, 117,110,116,117,12,0,0,0,82,117,110,116,105,109,101,69, 114,114,111,114,40,1,0,0,0,117,4,0,0,0,115,101, 108,102,40,0,0,0,0,40,0,0,0,0,117,29,0,0, 0,60,102,114,111,122,101,110,32,105,109,112,111,114,116,108, 105,98,46,95,98,111,111,116,115,116,114,97,112,62,117,7, 0,0,0,114,101,108,101,97,115,101,254,0,0,0,115,6, 0,0,0,0,1,15,1,15,1,117,24,0,0,0,95,68, 117,109,109,121,77,111,100,117,108,101,76,111,99,107,46,114, 101,108,101,97,115,101,99,1,0,0,0,0,0,0,0,1, 0,0,0,4,0,0,0,67,0,0,0,115,23,0,0,0, 100,1,0,124,0,0,106,0,0,116,1,0,124,0,0,131, 1,0,102,2,0,22,83,40,2,0,0,0,78,117,26,0, 0,0,95,68,117,109,109,121,77,111,100,117,108,101,76,111, 99,107,40,37,114,41,32,97,116,32,37,100,40,2,0,0, 0,117,4,0,0,0,110,97,109,101,117,2,0,0,0,105, 100,40,1,0,0,0,117,4,0,0,0,115,101,108,102,40, 0,0,0,0,40,0,0,0,0,117,29,0,0,0,60,102, 114,111,122,101,110,32,105,109,112,111,114,116,108,105,98,46, 95,98,111,111,116,115,116,114,97,112,62,117,8,0,0,0, 95,95,114,101,112,114,95,95,3,1,0,0,115,2,0,0, 0,0,1,117,25,0,0,0,95,68,117,109,109,121,77,111, 100,117,108,101,76,111,99,107,46,95,95,114,101,112,114,95, 95,78,40,8,0,0,0,117,8,0,0,0,95,95,110,97, 109,101,95,95,117,10,0,0,0,95,95,109,111,100,117,108, 101,95,95,117,12,0,0,0,95,95,113,117,97,108,110,97, 109,101,95,95,117,7,0,0,0,95,95,100,111,99,95,95, 117,8,0,0,0,95,95,105,110,105,116,95,95,117,7,0, 0,0,97,99,113,117,105,114,101,117,7,0,0,0,114,101, 108,101,97,115,101,117,8,0,0,0,95,95,114,101,112,114, 95,95,40,1,0,0,0,117,10,0,0,0,95,95,108,111, 99,97,108,115,95,95,40,0,0,0,0,40,0,0,0,0, 117,29,0,0,0,60,102,114,111,122,101,110,32,105,109,112, 111,114,116,108,105,98,46,95,98,111,111,116,115,116,114,97, 112,62,117,16,0,0,0,95,68,117,109,109,121,77,111,100, 117,108,101,76,111,99,107,242,0,0,0,115,10,0,0,0, 16,2,6,2,12,4,12,4,12,5,117,16,0,0,0,95, 68,117,109,109,121,77,111,100,117,108,101,76,111,99,107,99, 1,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0, 3,0,0,0,115,132,0,0,0,100,3,0,125,1,0,136, 0,0,116,1,0,107,6,0,114,34,0,116,1,0,136,0, 0,25,131,0,0,125,1,0,110,0,0,124,1,0,100,3, 0,107,8,0,114,128,0,116,2,0,100,3,0,107,8,0, 114,73,0,116,3,0,136,0,0,131,1,0,125,1,0,110, 12,0,116,4,0,136,0,0,131,1,0,125,1,0,135,0, 0,102,1,0,100,1,0,100,2,0,134,0,0,125,2,0, 116,5,0,106,6,0,124,1,0,124,2,0,131,2,0,116, 1,0,136,0,0,60,110,0,0,124,1,0,83,40,4,0, 0,0,117,109,0,0,0,71,101,116,32,111,114,32,99,114, 101,97,116,101,32,116,104,101,32,109,111,100,117,108,101,32, 108,111,99,107,32,102,111,114,32,97,32,103,105,118,101,110, 32,109,111,100,117,108,101,32,110,97,109,101,46,10,10,32, 32,32,32,83,104,111,117,108,100,32,111,110,108,121,32,98, 101,32,99,97,108,108,101,100,32,119,105,116,104,32,116,104, 101,32,105,109,112,111,114,116,32,108,111,99,107,32,116,97, 107,101,110,46,99,1,0,0,0,0,0,0,0,1,0,0, 0,2,0,0,0,19,0,0,0,115,11,0,0,0,116,0, 0,136,0,0,61,100,0,0,83,40,1,0,0,0,78,40, 1,0,0,0,117,13,0,0,0,95,109,111,100,117,108,101, 95,108,111,99,107,115,40,1,0,0,0,117,1,0,0,0, 95,40,1,0,0,0,117,4,0,0,0,110,97,109,101,40, 0,0,0,0,117,29,0,0,0,60,102,114,111,122,101,110, 32,105,109,112,111,114,116,108,105,98,46,95,98,111,111,116, 115,116,114,97,112,62,117,2,0,0,0,99,98,21,1,0, 0,115,2,0,0,0,0,1,117,28,0,0,0,95,103,101, 116,95,109,111,100,117,108,101,95,108,111,99,107,46,60,108, 111,99,97,108,115,62,46,99,98,78,40,7,0,0,0,117, 4,0,0,0,78,111,110,101,117,13,0,0,0,95,109,111, 100,117,108,101,95,108,111,99,107,115,117,7,0,0,0,95, 116,104,114,101,97,100,117,16,0,0,0,95,68,117,109,109, 121,77,111,100,117,108,101,76,111,99,107,117,11,0,0,0, 95,77,111,100,117,108,101,76,111,99,107,117,8,0,0,0, 95,119,101,97,107,114,101,102,117,3,0,0,0,114,101,102, 40,3,0,0,0,117,4,0,0,0,110,97,109,101,117,4, 0,0,0,108,111,99,107,117,2,0,0,0,99,98,40,0, 0,0,0,40,1,0,0,0,117,4,0,0,0,110,97,109, 101,117,29,0,0,0,60,102,114,111,122,101,110,32,105,109, 112,111,114,116,108,105,98,46,95,98,111,111,116,115,116,114, 97,112,62,117,16,0,0,0,95,103,101,116,95,109,111,100, 117,108,101,95,108,111,99,107,9,1,0,0,115,20,0,0, 0,0,4,6,1,12,1,16,1,12,1,12,1,15,2,12, 1,18,2,25,1,117,16,0,0,0,95,103,101,116,95,109, 111,100,117,108,101,95,108,111,99,107,99,1,0,0,0,0, 0,0,0,2,0,0,0,11,0,0,0,67,0,0,0,115, 71,0,0,0,116,0,0,124,0,0,131,1,0,125,1,0, 116,1,0,106,2,0,131,0,0,1,121,14,0,124,1,0, 106,3,0,131,0,0,1,87,110,18,0,4,116,4,0,107, 10,0,114,56,0,1,1,1,89,110,11,0,88,124,1,0, 106,5,0,131,0,0,1,100,1,0,83,40,2,0,0,0, 117,21,1,0,0,82,101,108,101,97,115,101,32,116,104,101, 32,103,108,111,98,97,108,32,105,109,112,111,114,116,32,108, 111,99,107,44,32,97,110,100,32,97,99,113,117,105,114,101, 115,32,116,104,101,110,32,114,101,108,101,97,115,101,32,116, 104,101,10,32,32,32,32,109,111,100,117,108,101,32,108,111, 99,107,32,102,111,114,32,97,32,103,105,118,101,110,32,109, 111,100,117,108,101,32,110,97,109,101,46,10,32,32,32,32, 84,104,105,115,32,105,115,32,117,115,101,100,32,116,111,32, 101,110,115,117,114,101,32,97,32,109,111,100,117,108,101,32, 105,115,32,99,111,109,112,108,101,116,101,108,121,32,105,110, 105,116,105,97,108,105,122,101,100,44,32,105,110,32,116,104, 101,10,32,32,32,32,101,118,101,110,116,32,105,116,32,105, 115,32,98,101,105,110,103,32,105,109,112,111,114,116,101,100, 32,98,121,32,97,110,111,116,104,101,114,32,116,104,114,101, 97,100,46,10,10,32,32,32,32,83,104,111,117,108,100,32, 111,110,108,121,32,98,101,32,99,97,108,108,101,100,32,119, 105,116,104,32,116,104,101,32,105,109,112,111,114,116,32,108, 111,99,107,32,116,97,107,101,110,46,78,40,6,0,0,0, 117,16,0,0,0,95,103,101,116,95,109,111,100,117,108,101, 95,108,111,99,107,117,4,0,0,0,95,105,109,112,117,12, 0,0,0,114,101,108,101,97,115,101,95,108,111,99,107,117, 7,0,0,0,97,99,113,117,105,114,101,117,14,0,0,0, 95,68,101,97,100,108,111,99,107,69,114,114,111,114,117,7, 0,0,0,114,101,108,101,97,115,101,40,2,0,0,0,117, 4,0,0,0,110,97,109,101,117,4,0,0,0,108,111,99, 107,40,0,0,0,0,40,0,0,0,0,117,29,0,0,0, 60,102,114,111,122,101,110,32,105,109,112,111,114,116,108,105, 98,46,95,98,111,111,116,115,116,114,97,112,62,117,19,0, 0,0,95,108,111,99,107,95,117,110,108,111,99,107,95,109, 111,100,117,108,101,26,1,0,0,115,14,0,0,0,0,7, 12,1,10,1,3,1,14,1,13,3,5,2,117,19,0,0, 0,95,108,111,99,107,95,117,110,108,111,99,107,95,109,111, 100,117,108,101,117,11,0,0,0,95,95,112,121,99,97,99, 104,101,95,95,117,3,0,0,0,46,112,121,117,4,0,0, 0,46,112,121,99,117,4,0,0,0,46,112,121,111,99,2, 0,0,0,0,0,0,0,10,0,0,0,6,0,0,0,67, 0,0,0,115,134,0,0,0,124,1,0,100,4,0,107,8, 0,114,18,0,116,1,0,110,3,0,124,1,0,125,2,0, 124,2,0,114,39,0,116,2,0,125,3,0,110,6,0,116, 3,0,125,3,0,116,4,0,124,0,0,131,1,0,92,2, 0,125,4,0,125,5,0,124,5,0,106,5,0,100,1,0, 131,1,0,92,3,0,125,6,0,125,7,0,125,8,0,100, 2,0,106,6,0,124,6,0,124,7,0,116,7,0,124,3, 0,100,3,0,25,103,4,0,131,1,0,125,9,0,116,8, 0,124,4,0,116,9,0,124,9,0,131,3,0,83,40,5, 0,0,0,117,161,1,0,0,71,105,118,101,110,32,116,104, 101,32,112,97,116,104,32,116,111,32,97,32,46,112,121,32, 102,105,108,101,44,32,114,101,116,117,114,110,32,116,104,101, 32,112,97,116,104,32,116,111,32,105,116,115,32,46,112,121, 99,47,46,112,121,111,32,102,105,108,101,46,10,10,32,32, 32,32,84,104,101,32,46,112,121,32,102,105,108,101,32,100, 111,101,115,32,110,111,116,32,110,101,101,100,32,116,111,32, 101,120,105,115,116,59,32,116,104,105,115,32,115,105,109,112, 108,121,32,114,101,116,117,114,110,115,32,116,104,101,32,112, 97,116,104,32,116,111,32,116,104,101,10,32,32,32,32,46, 112,121,99,47,46,112,121,111,32,102,105,108,101,32,99,97, 108,99,117,108,97,116,101,100,32,97,115,32,105,102,32,116, 104,101,32,46,112,121,32,102,105,108,101,32,119,101,114,101, 32,105,109,112,111,114,116,101,100,46,32,32,84,104,101,32, 101,120,116,101,110,115,105,111,110,10,32,32,32,32,119,105, 108,108,32,98,101,32,46,112,121,99,32,117,110,108,101,115, 115,32,95,95,100,101,98,117,103,95,95,32,105,115,32,110, 111,116,32,100,101,102,105,110,101,100,44,32,116,104,101,110, 32,105,116,32,119,105,108,108,32,98,101,32,46,112,121,111, 46,10,10,32,32,32,32,73,102,32,100,101,98,117,103,95, 111,118,101,114,114,105,100,101,32,105,115,32,110,111,116,32, 78,111,110,101,44,32,116,104,101,110,32,105,116,32,109,117, 115,116,32,98,101,32,97,32,98,111,111,108,101,97,110,32, 97,110,100,32,105,115,32,116,97,107,101,110,32,97,115,10, 32,32,32,32,116,104,101,32,118,97,108,117,101,32,111,102, 32,95,95,100,101,98,117,103,95,95,32,105,110,115,116,101, 97,100,46,10,10,32,32,32,32,117,1,0,0,0,46,117, 0,0,0,0,105,0,0,0,0,78,40,10,0,0,0,117, 4,0,0,0,78,111,110,101,117,9,0,0,0,95,95,100, 101,98,117,103,95,95,117,23,0,0,0,68,69,66,85,71, 95,66,89,84,69,67,79,68,69,95,83,85,70,70,73,88, 69,83,117,27,0,0,0,79,80,84,73,77,73,90,69,68, 95,66,89,84,69,67,79,68,69,95,83,85,70,70,73,88, 69,83,117,11,0,0,0,95,112,97,116,104,95,115,112,108, 105,116,117,9,0,0,0,112,97,114,116,105,116,105,111,110, 117,4,0,0,0,106,111,105,110,117,4,0,0,0,95,84, 65,71,117,10,0,0,0,95,112,97,116,104,95,106,111,105, 110,117,8,0,0,0,95,80,89,67,65,67,72,69,40,10, 0,0,0,117,4,0,0,0,112,97,116,104,117,14,0,0, 0,100,101,98,117,103,95,111,118,101,114,114,105,100,101,117, 5,0,0,0,100,101,98,117,103,117,8,0,0,0,115,117, 102,102,105,120,101,115,117,4,0,0,0,104,101,97,100,117, 4,0,0,0,116,97,105,108,117,13,0,0,0,98,97,115, 101,95,102,105,108,101,110,97,109,101,117,3,0,0,0,115, 101,112,117,1,0,0,0,95,117,8,0,0,0,102,105,108, 101,110,97,109,101,40,0,0,0,0,40,0,0,0,0,117, 29,0,0,0,60,102,114,111,122,101,110,32,105,109,112,111, 114,116,108,105,98,46,95,98,111,111,116,115,116,114,97,112, 62,117,17,0,0,0,99,97,99,104,101,95,102,114,111,109, 95,115,111,117,114,99,101,58,1,0,0,115,16,0,0,0, 0,11,24,1,6,1,9,2,6,1,18,1,24,1,31,1, 117,17,0,0,0,99,97,99,104,101,95,102,114,111,109,95, 115,111,117,114,99,101,99,1,0,0,0,0,0,0,0,2, 0,0,0,4,0,0,0,71,0,0,0,115,75,0,0,0, 116,0,0,106,1,0,106,2,0,114,71,0,124,0,0,106, 3,0,100,6,0,131,1,0,115,40,0,100,3,0,124,0, 0,23,125,0,0,110,0,0,116,4,0,124,0,0,106,5, 0,124,1,0,140,0,0,100,4,0,116,0,0,106,6,0, 131,1,1,1,110,0,0,100,5,0,83,40,7,0,0,0, 117,61,0,0,0,80,114,105,110,116,32,116,104,101,32,109, 101,115,115,97,103,101,32,116,111,32,115,116,100,101,114,114, 32,105,102,32,45,118,47,80,89,84,72,79,78,86,69,82, 66,79,83,69,32,105,115,32,116,117,114,110,101,100,32,111, 110,46,117,1,0,0,0,35,117,7,0,0,0,105,109,112, 111,114,116,32,117,2,0,0,0,35,32,117,4,0,0,0, 102,105,108,101,78,40,2,0,0,0,117,1,0,0,0,35, 117,7,0,0,0,105,109,112,111,114,116,32,40,7,0,0, 0,117,3,0,0,0,115,121,115,117,5,0,0,0,102,108, 97,103,115,117,7,0,0,0,118,101,114,98,111,115,101,117, 10,0,0,0,115,116,97,114,116,115,119,105,116,104,117,5, 0,0,0,112,114,105,110,116,117,6,0,0,0,102,111,114, 109,97,116,117,6,0,0,0,115,116,100,101,114,114,40,2, 0,0,0,117,7,0,0,0,109,101,115,115,97,103,101,117, 4,0,0,0,97,114,103,115,40,0,0,0,0,40,0,0, 0,0,117,29,0,0,0,60,102,114,111,122,101,110,32,105, 109,112,111,114,116,108,105,98,46,95,98,111,111,116,115,116, 114,97,112,62,117,16,0,0,0,95,118,101,114,98,111,115, 101,95,109,101,115,115,97,103,101,80,1,0,0,115,8,0, 0,0,0,2,12,1,15,1,13,1,117,16,0,0,0,95, 118,101,114,98,111,115,101,95,109,101,115,115,97,103,101,99, 1,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0, 3,0,0,0,115,35,0,0,0,135,0,0,102,1,0,100, 1,0,100,2,0,134,0,0,125,1,0,116,0,0,124,1, 0,136,0,0,131,2,0,1,124,1,0,83,40,3,0,0, 0,117,39,0,0,0,83,101,116,32,95,95,112,97,99,107, 97,103,101,95,95,32,111,110,32,116,104,101,32,114,101,116, 117,114,110,101,100,32,109,111,100,117,108,101,46,99,0,0, 0,0,0,0,0,0,3,0,0,0,4,0,0,0,31,0, 0,0,115,108,0,0,0,136,0,0,124,0,0,124,1,0, 142,0,0,125,2,0,116,0,0,124,2,0,100,1,0,131, 2,0,12,115,46,0,124,2,0,106,1,0,100,0,0,107, 8,0,114,104,0,124,2,0,106,3,0,124,2,0,95,1, 0,116,0,0,124,2,0,100,2,0,131,2,0,115,104,0, 124,2,0,106,1,0,106,4,0,100,3,0,131,1,0,100, 4,0,25,124,2,0,95,1,0,113,104,0,110,0,0,124, 2,0,83,40,5,0,0,0,78,117,11,0,0,0,95,95, 112,97,99,107,97,103,101,95,95,117,8,0,0,0,95,95, 112,97,116,104,95,95,117,1,0,0,0,46,105,0,0,0, 0,40,5,0,0,0,117,7,0,0,0,104,97,115,97,116, 116,114,117,11,0,0,0,95,95,112,97,99,107,97,103,101, 95,95,117,4,0,0,0,78,111,110,101,117,8,0,0,0, 95,95,110,97,109,101,95,95,117,10,0,0,0,114,112,97, 114,116,105,116,105,111,110,40,3,0,0,0,117,4,0,0, 0,97,114,103,115,117,6,0,0,0,107,119,97,114,103,115, 117,6,0,0,0,109,111,100,117,108,101,40,1,0,0,0, 117,3,0,0,0,102,120,110,40,0,0,0,0,117,29,0, 0,0,60,102,114,111,122,101,110,32,105,109,112,111,114,116, 108,105,98,46,95,98,111,111,116,115,116,114,97,112,62,117, 19,0,0,0,115,101,116,95,112,97,99,107,97,103,101,95, 119,114,97,112,112,101,114,90,1,0,0,115,12,0,0,0, 0,1,15,1,31,1,12,1,15,1,31,1,117,40,0,0, 0,115,101,116,95,112,97,99,107,97,103,101,46,60,108,111, 99,97,108,115,62,46,115,101,116,95,112,97,99,107,97,103, 101,95,119,114,97,112,112,101,114,40,1,0,0,0,117,5, 0,0,0,95,119,114,97,112,40,2,0,0,0,117,3,0, 0,0,102,120,110,117,19,0,0,0,115,101,116,95,112,97, 99,107,97,103,101,95,119,114,97,112,112,101,114,40,0,0, 0,0,40,1,0,0,0,117,3,0,0,0,102,120,110,117, 29,0,0,0,60,102,114,111,122,101,110,32,105,109,112,111, 114,116,108,105,98,46,95,98,111,111,116,115,116,114,97,112, 62,117,11,0,0,0,115,101,116,95,112,97,99,107,97,103, 101,88,1,0,0,115,6,0,0,0,0,2,18,7,13,1, 117,11,0,0,0,115,101,116,95,112,97,99,107,97,103,101, 99,1,0,0,0,0,0,0,0,2,0,0,0,3,0,0, 0,3,0,0,0,115,35,0,0,0,135,0,0,102,1,0, 100,1,0,100,2,0,134,0,0,125,1,0,116,0,0,124, 1,0,136,0,0,131,2,0,1,124,1,0,83,40,3,0, 0,0,117,38,0,0,0,83,101,116,32,95,95,108,111,97, 100,101,114,95,95,32,111,110,32,116,104,101,32,114,101,116, 117,114,110,101,100,32,109,111,100,117,108,101,46,99,1,0, 0,0,0,0,0,0,4,0,0,0,4,0,0,0,31,0, 0,0,115,49,0,0,0,136,0,0,124,0,0,124,1,0, 124,2,0,142,1,0,125,3,0,116,0,0,124,3,0,100, 1,0,131,2,0,115,45,0,124,0,0,124,3,0,95,1, 0,110,0,0,124,3,0,83,40,2,0,0,0,78,117,10, 0,0,0,95,95,108,111,97,100,101,114,95,95,40,2,0, 0,0,117,7,0,0,0,104,97,115,97,116,116,114,117,10, 0,0,0,95,95,108,111,97,100,101,114,95,95,40,4,0, 0,0,117,4,0,0,0,115,101,108,102,117,4,0,0,0, 97,114,103,115,117,6,0,0,0,107,119,97,114,103,115,117, 6,0,0,0,109,111,100,117,108,101,40,1,0,0,0,117, 3,0,0,0,102,120,110,40,0,0,0,0,117,29,0,0, 0,60,102,114,111,122,101,110,32,105,109,112,111,114,116,108, 105,98,46,95,98,111,111,116,115,116,114,97,112,62,117,18, 0,0,0,115,101,116,95,108,111,97,100,101,114,95,119,114, 97,112,112,101,114,103,1,0,0,115,8,0,0,0,0,1, 18,1,15,1,12,1,117,38,0,0,0,115,101,116,95,108, 111,97,100,101,114,46,60,108,111,99,97,108,115,62,46,115, 101,116,95,108,111,97,100,101,114,95,119,114,97,112,112,101, 114,40,1,0,0,0,117,5,0,0,0,95,119,114,97,112, 40,2,0,0,0,117,3,0,0,0,102,120,110,117,18,0, 0,0,115,101,116,95,108,111,97,100,101,114,95,119,114,97, 112,112,101,114,40,0,0,0,0,40,1,0,0,0,117,3, 0,0,0,102,120,110,117,29,0,0,0,60,102,114,111,122, 101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,111, 111,116,115,116,114,97,112,62,117,10,0,0,0,115,101,116, 95,108,111,97,100,101,114,101,1,0,0,115,6,0,0,0, 0,2,18,5,13,1,117,10,0,0,0,115,101,116,95,108, 111,97,100,101,114,99,1,0,0,0,0,0,0,0,2,0, 0,0,3,0,0,0,3,0,0,0,115,35,0,0,0,135, 0,0,102,1,0,100,1,0,100,2,0,134,0,0,125,1, 0,116,0,0,124,1,0,136,0,0,131,2,0,1,124,1, 0,83,40,3,0,0,0,117,42,3,0,0,68,101,99,111, 114,97,116,111,114,32,116,111,32,104,97,110,100,108,101,32, 115,101,108,101,99,116,105,110,103,32,116,104,101,32,112,114, 111,112,101,114,32,109,111,100,117,108,101,32,102,111,114,32, 108,111,97,100,101,114,115,46,10,10,32,32,32,32,84,104, 101,32,100,101,99,111,114,97,116,101,100,32,102,117,110,99, 116,105,111,110,32,105,115,32,112,97,115,115,101,100,32,116, 104,101,32,109,111,100,117,108,101,32,116,111,32,117,115,101, 32,105,110,115,116,101,97,100,32,111,102,32,116,104,101,32, 109,111,100,117,108,101,10,32,32,32,32,110,97,109,101,46, 32,84,104,101,32,109,111,100,117,108,101,32,112,97,115,115, 101,100,32,105,110,32,116,111,32,116,104,101,32,102,117,110, 99,116,105,111,110,32,105,115,32,101,105,116,104,101,114,32, 102,114,111,109,32,115,121,115,46,109,111,100,117,108,101,115, 32,105,102,10,32,32,32,32,105,116,32,97,108,114,101,97, 100,121,32,101,120,105,115,116,115,32,111,114,32,105,115,32, 97,32,110,101,119,32,109,111,100,117,108,101,46,32,73,102, 32,116,104,101,32,109,111,100,117,108,101,32,105,115,32,110, 101,119,44,32,116,104,101,110,32,95,95,110,97,109,101,95, 95,10,32,32,32,32,105,115,32,115,101,116,32,116,104,101, 32,102,105,114,115,116,32,97,114,103,117,109,101,110,116,32, 116,111,32,116,104,101,32,109,101,116,104,111,100,44,32,95, 95,108,111,97,100,101,114,95,95,32,105,115,32,115,101,116, 32,116,111,32,115,101,108,102,44,32,97,110,100,10,32,32, 32,32,95,95,112,97,99,107,97,103,101,95,95,32,105,115, 32,115,101,116,32,97,99,99,111,114,100,105,110,103,108,121, 32,40,105,102,32,115,101,108,102,46,105,115,95,112,97,99, 107,97,103,101,40,41,32,105,115,32,100,101,102,105,110,101, 100,41,32,119,105,108,108,32,98,101,32,115,101,116,10,32, 32,32,32,98,101,102,111,114,101,32,105,116,32,105,115,32, 112,97,115,115,101,100,32,116,111,32,116,104,101,32,100,101, 99,111,114,97,116,101,100,32,102,117,110,99,116,105,111,110, 32,40,105,102,32,115,101,108,102,46,105,115,95,112,97,99, 107,97,103,101,40,41,32,100,111,101,115,10,32,32,32,32, 110,111,116,32,119,111,114,107,32,102,111,114,32,116,104,101, 32,109,111,100,117,108,101,32,105,116,32,119,105,108,108,32, 98,101,32,115,101,116,32,112,111,115,116,45,108,111,97,100, 41,46,10,10,32,32,32,32,73,102,32,97,110,32,101,120, 99,101,112,116,105,111,110,32,105,115,32,114,97,105,115,101, 100,32,97,110,100,32,116,104,101,32,100,101,99,111,114,97, 116,111,114,32,99,114,101,97,116,101,100,32,116,104,101,32, 109,111,100,117,108,101,32,105,116,32,105,115,10,32,32,32, 32,115,117,98,115,101,113,117,101,110,116,108,121,32,114,101, 109,111,118,101,100,32,102,114,111,109,32,115,121,115,46,109, 111,100,117,108,101,115,46,10,10,32,32,32,32,84,104,101, 32,100,101,99,111,114,97,116,111,114,32,97,115,115,117,109, 101,115,32,116,104,97,116,32,116,104,101,32,100,101,99,111, 114,97,116,101,100,32,102,117,110,99,116,105,111,110,32,116, 97,107,101,115,32,116,104,101,32,109,111,100,117,108,101,32, 110,97,109,101,32,97,115,10,32,32,32,32,116,104,101,32, 115,101,99,111,110,100,32,97,114,103,117,109,101,110,116,46, 10,10,32,32,32,32,99,2,0,0,0,0,0,0,0,7, 0,0,0,25,0,0,0,31,0,0,0,115,245,0,0,0, 116,0,0,106,1,0,106,2,0,124,1,0,131,1,0,125, 4,0,124,4,0,100,0,0,107,9,0,125,5,0,124,5, 0,115,159,0,116,4,0,124,1,0,131,1,0,125,4,0, 124,4,0,116,0,0,106,1,0,124,1,0,60,124,0,0, 124,4,0,95,5,0,121,19,0,124,0,0,106,6,0,124, 1,0,131,1,0,125,6,0,87,110,24,0,4,116,7,0, 116,8,0,102,2,0,107,10,0,114,115,0,1,1,1,89, 113,159,0,88,124,6,0,114,134,0,124,1,0,124,4,0, 95,9,0,113,159,0,124,1,0,106,10,0,100,1,0,131, 1,0,100,2,0,25,124,4,0,95,9,0,110,0,0,122, 69,0,121,32,0,100,3,0,124,4,0,95,12,0,136,0, 0,124,0,0,124,4,0,124,2,0,124,3,0,142,2,0, 83,87,110,30,0,1,1,1,124,5,0,115,219,0,116,0, 0,106,1,0,124,1,0,61,110,0,0,130,0,0,89,110, 1,0,88,87,100,0,0,100,4,0,124,4,0,95,12,0, 88,100,0,0,83,40,5,0,0,0,78,117,1,0,0,0, 46,105,0,0,0,0,84,70,40,14,0,0,0,117,3,0, 0,0,115,121,115,117,7,0,0,0,109,111,100,117,108,101, 115,117,3,0,0,0,103,101,116,117,4,0,0,0,78,111, 110,101,117,10,0,0,0,110,101,119,95,109,111,100,117,108, 101,117,10,0,0,0,95,95,108,111,97,100,101,114,95,95, 117,10,0,0,0,105,115,95,112,97,99,107,97,103,101,117, 11,0,0,0,73,109,112,111,114,116,69,114,114,111,114,117, 14,0,0,0,65,116,116,114,105,98,117,116,101,69,114,114, 111,114,117,11,0,0,0,95,95,112,97,99,107,97,103,101, 95,95,117,10,0,0,0,114,112,97,114,116,105,116,105,111, 110,117,4,0,0,0,84,114,117,101,117,16,0,0,0,95, 95,105,110,105,116,105,97,108,105,122,105,110,103,95,95,117, 5,0,0,0,70,97,108,115,101,40,7,0,0,0,117,4, 0,0,0,115,101,108,102,117,8,0,0,0,102,117,108,108, 110,97,109,101,117,4,0,0,0,97,114,103,115,117,6,0, 0,0,107,119,97,114,103,115,117,6,0,0,0,109,111,100, 117,108,101,117,9,0,0,0,105,115,95,114,101,108,111,97, 100,117,10,0,0,0,105,115,95,112,97,99,107,97,103,101, 40,1,0,0,0,117,3,0,0,0,102,120,110,40,0,0, 0,0,117,29,0,0,0,60,102,114,111,122,101,110,32,105, 109,112,111,114,116,108,105,98,46,95,98,111,111,116,115,116, 114,97,112,62,117,25,0,0,0,109,111,100,117,108,101,95, 102,111,114,95,108,111,97,100,101,114,95,119,114,97,112,112, 101,114,130,1,0,0,115,42,0,0,0,0,1,18,1,12, 1,6,4,12,1,13,1,9,1,3,1,19,1,19,1,5, 2,6,1,12,2,25,1,6,1,9,2,23,1,3,1,6, 1,13,1,12,2,117,52,0,0,0,109,111,100,117,108,101, 95,102,111,114,95,108,111,97,100,101,114,46,60,108,111,99, 97,108,115,62,46,109,111,100,117,108,101,95,102,111,114,95, 108,111,97,100,101,114,95,119,114,97,112,112,101,114,40,1, 0,0,0,117,5,0,0,0,95,119,114,97,112,40,2,0, 0,0,117,3,0,0,0,102,120,110,117,25,0,0,0,109, 111,100,117,108,101,95,102,111,114,95,108,111,97,100,101,114, 95,119,114,97,112,112,101,114,40,0,0,0,0,40,1,0, 0,0,117,3,0,0,0,102,120,110,117,29,0,0,0,60, 102,114,111,122,101,110,32,105,109,112,111,114,116,108,105,98, 46,95,98,111,111,116,115,116,114,97,112,62,117,17,0,0, 0,109,111,100,117,108,101,95,102,111,114,95,108,111,97,100, 101,114,112,1,0,0,115,6,0,0,0,0,18,18,29,13, 1,117,17,0,0,0,109,111,100,117,108,101,95,102,111,114, 95,108,111,97,100,101,114,99,1,0,0,0,0,0,0,0, 2,0,0,0,4,0,0,0,3,0,0,0,115,38,0,0, 0,100,3,0,135,0,0,102,1,0,100,1,0,100,2,0, 134,1,0,125,1,0,116,1,0,124,1,0,136,0,0,131, 2,0,1,124,1,0,83,40,4,0,0,0,117,252,0,0, 0,68,101,99,111,114,97,116,111,114,32,116,111,32,118,101, 114,105,102,121,32,116,104,97,116,32,116,104,101,32,109,111, 100,117,108,101,32,98,101,105,110,103,32,114,101,113,117,101, 115,116,101,100,32,109,97,116,99,104,101,115,32,116,104,101, 32,111,110,101,32,116,104,101,10,32,32,32,32,108,111,97, 100,101,114,32,99,97,110,32,104,97,110,100,108,101,46,10, 10,32,32,32,32,84,104,101,32,102,105,114,115,116,32,97, 114,103,117,109,101,110,116,32,40,115,101,108,102,41,32,109, 117,115,116,32,100,101,102,105,110,101,32,95,110,97,109,101, 32,119,104,105,99,104,32,116,104,101,32,115,101,99,111,110, 100,32,97,114,103,117,109,101,110,116,32,105,115,10,32,32, 32,32,99,111,109,112,97,114,101,100,32,97,103,97,105,110, 115,116,46,32,73,102,32,116,104,101,32,99,111,109,112,97, 114,105,115,111,110,32,102,97,105,108,115,32,116,104,101,110, 32,73,109,112,111,114,116,69,114,114,111,114,32,105,115,32, 114,97,105,115,101,100,46,10,10,32,32,32,32,99,2,0, 0,0,0,0,0,0,4,0,0,0,5,0,0,0,31,0, 0,0,115,83,0,0,0,124,1,0,100,0,0,107,8,0, 114,24,0,124,0,0,106,1,0,125,1,0,110,40,0,124, 0,0,106,1,0,124,1,0,107,3,0,114,64,0,116,2, 0,100,1,0,124,1,0,22,100,2,0,124,1,0,131,1, 1,130,1,0,110,0,0,136,0,0,124,0,0,124,1,0, 124,2,0,124,3,0,142,2,0,83,40,3,0,0,0,78, 117,23,0,0,0,108,111,97,100,101,114,32,99,97,110,110, 111,116,32,104,97,110,100,108,101,32,37,115,117,4,0,0, 0,110,97,109,101,40,3,0,0,0,117,4,0,0,0,78, 111,110,101,117,4,0,0,0,110,97,109,101,117,11,0,0, 0,73,109,112,111,114,116,69,114,114,111,114,40,4,0,0, 0,117,4,0,0,0,115,101,108,102,117,4,0,0,0,110, 97,109,101,117,4,0,0,0,97,114,103,115,117,6,0,0, 0,107,119,97,114,103,115,40,1,0,0,0,117,6,0,0, 0,109,101,116,104,111,100,40,0,0,0,0,117,29,0,0, 0,60,102,114,111,122,101,110,32,105,109,112,111,114,116,108, 105,98,46,95,98,111,111,116,115,116,114,97,112,62,117,19, 0,0,0,95,99,104,101,99,107,95,110,97,109,101,95,119, 114,97,112,112,101,114,171,1,0,0,115,10,0,0,0,0, 1,12,1,12,1,15,1,25,1,117,40,0,0,0,95,99, 104,101,99,107,95,110,97,109,101,46,60,108,111,99,97,108, 115,62,46,95,99,104,101,99,107,95,110,97,109,101,95,119, 114,97,112,112,101,114,78,40,2,0,0,0,117,4,0,0, 0,78,111,110,101,117,5,0,0,0,95,119,114,97,112,40, 2,0,0,0,117,6,0,0,0,109,101,116,104,111,100,117, 19,0,0,0,95,99,104,101,99,107,95,110,97,109,101,95, 119,114,97,112,112,101,114,40,0,0,0,0,40,1,0,0, 0,117,6,0,0,0,109,101,116,104,111,100,117,29,0,0, 0,60,102,114,111,122,101,110,32,105,109,112,111,114,116,108, 105,98,46,95,98,111,111,116,115,116,114,97,112,62,117,11, 0,0,0,95,99,104,101,99,107,95,110,97,109,101,163,1, 0,0,115,6,0,0,0,0,8,21,6,13,1,117,11,0, 0,0,95,99,104,101,99,107,95,110,97,109,101,99,1,0, 0,0,0,0,0,0,2,0,0,0,3,0,0,0,3,0, 0,0,115,35,0,0,0,135,0,0,102,1,0,100,1,0, 100,2,0,134,0,0,125,1,0,116,0,0,124,1,0,136, 0,0,131,2,0,1,124,1,0,83,40,3,0,0,0,117, 49,0,0,0,68,101,99,111,114,97,116,111,114,32,116,111, 32,118,101,114,105,102,121,32,116,104,101,32,110,97,109,101, 100,32,109,111,100,117,108,101,32,105,115,32,98,117,105,108, 116,45,105,110,46,99,2,0,0,0,0,0,0,0,2,0, 0,0,4,0,0,0,19,0,0,0,115,58,0,0,0,124, 1,0,116,0,0,106,1,0,107,7,0,114,45,0,116,2, 0,100,1,0,106,3,0,124,1,0,131,1,0,100,2,0, 124,1,0,131,1,1,130,1,0,110,0,0,136,0,0,124, 0,0,124,1,0,131,2,0,83,40,3,0,0,0,78,117, 28,0,0,0,123,48,125,32,105,115,32,110,111,116,32,97, 32,98,117,105,108,116,45,105,110,32,109,111,100,117,108,101, 117,4,0,0,0,110,97,109,101,40,4,0,0,0,117,3, 0,0,0,115,121,115,117,20,0,0,0,98,117,105,108,116, 105,110,95,109,111,100,117,108,101,95,110,97,109,101,115,117, 11,0,0,0,73,109,112,111,114,116,69,114,114,111,114,117, 6,0,0,0,102,111,114,109,97,116,40,2,0,0,0,117, 4,0,0,0,115,101,108,102,117,8,0,0,0,102,117,108, 108,110,97,109,101,40,1,0,0,0,117,3,0,0,0,102, 120,110,40,0,0,0,0,117,29,0,0,0,60,102,114,111, 122,101,110,32,105,109,112,111,114,116,108,105,98,46,95,98, 111,111,116,115,116,114,97,112,62,117,25,0,0,0,95,114, 101,113,117,105,114,101,115,95,98,117,105,108,116,105,110,95, 119,114,97,112,112,101,114,183,1,0,0,115,8,0,0,0, 0,1,15,1,18,1,12,1,117,52,0,0,0,95,114,101, 113,117,105,114,101,115,95,98,117,105,108,116,105,110,46,60, 108,111,99,97,108,115,62,46,95,114,101,113,117,105,114,101, 115,95,98,117,105,108,116,105,110,95,119,114,97,112,112,101, 114,40,1,0,0,0,117,5,0,0,0,95,119,114,97,112, 40,2,0,0,0,117,3,0,0,0,102,120,110,117,25,0, 0,0,95,114,101,113,117,105,114,101,115,95,98,117,105,108, 116,105,110,95,119,114,97,112,112,101,114,40,0,0,0,0, 40,1,0,0,0,117,3,0,0,0,102,120,110,117,29,0, 0,0,60,102,114,111,122,101,110,32,105,109,112,111,114,116, 108,105,98,46,95,98,111,111,116,115,116,114,97,112,62,117, 17,0,0,0,95,114,101,113,117,105,114,101,115,95,98,117, 105,108,116,105,110,181,1,0,0,115,6,0,0,0,0,2, 18,5,13,1,117,17,0,0,0,95,114,101,113,117,105,114, 101,115,95,98,117,105,108,116,105,110,99,1,0,0,0,0, 0,0,0,2,0,0,0,3,0,0,0,3,0,0,0,115, 35,0,0,0,135,0,0,102,1,0,100,1,0,100,2,0, 134,0,0,125,1,0,116,0,0,124,1,0,136,0,0,131, 2,0,1,124,1,0,83,40,3,0,0,0,117,47,0,0, 0,68,101,99,111,114,97,116,111,114,32,116,111,32,118,101, 114,105,102,121,32,116,104,101,32,110,97,109,101,100,32,109, 111,100,117,108,101,32,105,115,32,102,114,111,122,101,110,46, 99,2,0,0,0,0,0,0,0,2,0,0,0,4,0,0, 0,19,0,0,0,115,58,0,0,0,116,0,0,106,1,0, 124,1,0,131,1,0,115,45,0,116,2,0,100,1,0,106, 3,0,124,1,0,131,1,0,100,2,0,124,1,0,131,1, 1,130,1,0,110,0,0,136,0,0,124,0,0,124,1,0, 131,2,0,83,40,3,0,0,0,78,117,26,0,0,0,123, 48,125,32,105,115,32,110,111,116,32,97,32,102,114,111,122, 101,110,32,109,111,100,117,108,101,117,4,0,0,0,110,97, 109,101,40,4,0,0,0,117,4,0,0,0,95,105,109,112, 117,9,0,0,0,105,115,95,102,114,111,122,101,110,117,11, 0,0,0,73,109,112,111,114,116,69,114,114,111,114,117,6, 0,0,0,102,111,114,109,97,116,40,2,0,0,0,117,4, 0,0,0,115,101,108,102,117,8,0,0,0,102,117,108,108, 110,97,109,101,40,1,0,0,0,117,3,0,0,0,102,120, 110,40,0,0,0,0,117,29,0,0,0,60,102,114,111,122, 101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,111, 111,116,115,116,114,97,112,62,117,24,0,0,0,95,114,101, 113,117,105,114,101,115,95,102,114,111,122,101,110,95,119,114, 97,112,112,101,114,194,1,0,0,115,8,0,0,0,0,1, 15,1,18,1,12,1,117,50,0,0,0,95,114,101,113,117, 105,114,101,115,95,102,114,111,122,101,110,46,60,108,111,99, 97,108,115,62,46,95,114,101,113,117,105,114,101,115,95,102, 114,111,122,101,110,95,119,114,97,112,112,101,114,40,1,0, 0,0,117,5,0,0,0,95,119,114,97,112,40,2,0,0, 0,117,3,0,0,0,102,120,110,117,24,0,0,0,95,114, 101,113,117,105,114,101,115,95,102,114,111,122,101,110,95,119, 114,97,112,112,101,114,40,0,0,0,0,40,1,0,0,0, 117,3,0,0,0,102,120,110,117,29,0,0,0,60,102,114, 111,122,101,110,32,105,109,112,111,114,116,108,105,98,46,95, 98,111,111,116,115,116,114,97,112,62,117,16,0,0,0,95, 114,101,113,117,105,114,101,115,95,102,114,111,122,101,110,192, 1,0,0,115,6,0,0,0,0,2,18,5,13,1,117,16, 0,0,0,95,114,101,113,117,105,114,101,115,95,102,114,111, 122,101,110,99,1,0,0,0,0,0,0,0,1,0,0,0, 6,0,0,0,66,0,0,0,115,173,0,0,0,124,0,0, 69,101,0,0,90,1,0,100,0,0,90,2,0,100,1,0, 90,3,0,101,4,0,100,2,0,100,3,0,132,0,0,131, 1,0,90,5,0,101,4,0,100,14,0,100,4,0,100,5, 0,132,1,0,131,1,0,90,7,0,101,4,0,101,8,0, 101,9,0,101,10,0,100,6,0,100,7,0,132,0,0,131, 1,0,131,1,0,131,1,0,131,1,0,90,11,0,101,4, 0,101,10,0,100,8,0,100,9,0,132,0,0,131,1,0, 131,1,0,90,12,0,101,4,0,101,10,0,100,10,0,100, 11,0,132,0,0,131,1,0,131,1,0,90,13,0,101,4, 0,101,10,0,100,12,0,100,13,0,132,0,0,131,1,0, 131,1,0,90,14,0,100,14,0,83,40,15,0,0,0,117, 15,0,0,0,66,117,105,108,116,105,110,73,109,112,111,114, 116,101,114,117,144,0,0,0,77,101,116,97,32,112,97,116, 104,32,105,109,112,111,114,116,32,102,111,114,32,98,117,105, 108,116,45,105,110,32,109,111,100,117,108,101,115,46,10,10, 32,32,32,32,65,108,108,32,109,101,116,104,111,100,115,32, 97,114,101,32,101,105,116,104,101,114,32,99,108,97,115,115, 32,111,114,32,115,116,97,116,105,99,32,109,101,116,104,111, 100,115,32,116,111,32,97,118,111,105,100,32,116,104,101,32, 110,101,101,100,32,116,111,10,32,32,32,32,105,110,115,116, 97,110,116,105,97,116,101,32,116,104,101,32,99,108,97,115, 115,46,10,10,32,32,32,32,99,2,0,0,0,0,0,0, 0,2,0,0,0,2,0,0,0,67,0,0,0,115,16,0, 0,0,100,1,0,106,0,0,124,1,0,106,1,0,131,1, 0,83,40,2,0,0,0,78,117,24,0,0,0,60,109,111, 100,117,108,101,32,39,123,125,39,32,40,98,117,105,108,116, 45,105,110,41,62,40,2,0,0,0,117,6,0,0,0,102, 111,114,109,97,116,117,8,0,0,0,95,95,110,97,109,101, 95,95,40,2,0,0,0,117,3,0,0,0,99,108,115,117, 6,0,0,0,109,111,100,117,108,101,40,0,0,0,0,40, 0,0,0,0,117,29,0,0,0,60,102,114,111,122,101,110, 32,105,109,112,111,114,116,108,105,98,46,95,98,111,111,116, 115,116,114,97,112,62,117,11,0,0,0,109,111,100,117,108, 101,95,114,101,112,114,214,1,0,0,115,2,0,0,0,0, 2,117,27,0,0,0,66,117,105,108,116,105,110,73,109,112, 111,114,116,101,114,46,109,111,100,117,108,101,95,114,101,112, 114,99,3,0,0,0,0,0,0,0,3,0,0,0,2,0, 0,0,67,0,0,0,115,39,0,0,0,124,2,0,100,1, 0,107,9,0,114,16,0,100,1,0,83,116,1,0,106,2, 0,124,1,0,131,1,0,114,35,0,124,0,0,83,100,1, 0,83,40,2,0,0,0,117,113,0,0,0,70,105,110,100, 32,116,104,101,32,98,117,105,108,116,45,105,110,32,109,111, 100,117,108,101,46,10,10,32,32,32,32,32,32,32,32,73, 102,32,39,112,97,116,104,39,32,105,115,32,101,118,101,114, 32,115,112,101,99,105,102,105,101,100,32,116,104,101,110,32, 116,104,101,32,115,101,97,114,99,104,32,105,115,32,99,111, 110,115,105,100,101,114,101,100,32,97,32,102,97,105,108,117, 114,101,46,10,10,32,32,32,32,32,32,32,32,78,40,3, 0,0,0,117,4,0,0,0,78,111,110,101,117,4,0,0, 0,95,105,109,112,117,10,0,0,0,105,115,95,98,117,105, 108,116,105,110,40,3,0,0,0,117,3,0,0,0,99,108, 115,117,8,0,0,0,102,117,108,108,110,97,109,101,117,4, 0,0,0,112,97,116,104,40,0,0,0,0,40,0,0,0, 0,117,29,0,0,0,60,102,114,111,122,101,110,32,105,109, 112,111,114,116,108,105,98,46,95,98,111,111,116,115,116,114, 97,112,62,117,11,0,0,0,102,105,110,100,95,109,111,100, 117,108,101,218,1,0,0,115,6,0,0,0,0,7,12,1, 4,1,117,27,0,0,0,66,117,105,108,116,105,110,73,109, 112,111,114,116,101,114,46,102,105,110,100,95,109,111,100,117, 108,101,99,2,0,0,0,0,0,0,0,3,0,0,0,9, 0,0,0,67,0,0,0,115,85,0,0,0,124,1,0,116, 0,0,106,1,0,107,6,0,125,2,0,121,17,0,116,2, 0,106,3,0,124,1,0,131,1,0,83,87,110,46,0,1, 1,1,124,2,0,12,114,73,0,124,1,0,116,0,0,106, 1,0,107,6,0,114,73,0,116,0,0,106,1,0,124,1, 0,61,110,0,0,130,0,0,89,110,1,0,88,100,1,0, 83,40,2,0,0,0,117,23,0,0,0,76,111,97,100,32, 97,32,98,117,105,108,116,45,105,110,32,109,111,100,117,108, 101,46,78,40,4,0,0,0,117,3,0,0,0,115,121,115, 117,7,0,0,0,109,111,100,117,108,101,115,117,4,0,0, 0,95,105,109,112,117,12,0,0,0,105,110,105,116,95,98, 117,105,108,116,105,110,40,3,0,0,0,117,3,0,0,0, 99,108,115,117,8,0,0,0,102,117,108,108,110,97,109,101, 117,9,0,0,0,105,115,95,114,101,108,111,97,100,40,0, 0,0,0,40,0,0,0,0,117,29,0,0,0,60,102,114, 111,122,101,110,32,105,109,112,111,114,116,108,105,98,46,95, 98,111,111,116,115,116,114,97,112,62,117,11,0,0,0,108, 111,97,100,95,109,111,100,117,108,101,229,1,0,0,115,14, 0,0,0,0,6,15,1,3,1,17,1,3,1,22,1,13, 1,117,27,0,0,0,66,117,105,108,116,105,110,73,109,112, 111,114,116,101,114,46,108,111,97,100,95,109,111,100,117,108, 101,99,2,0,0,0,0,0,0,0,2,0,0,0,1,0, 0,0,67,0,0,0,115,4,0,0,0,100,1,0,83,40, 2,0,0,0,117,57,0,0,0,82,101,116,117,114,110,32, 78,111,110,101,32,97,115,32,98,117,105,108,116,45,105,110, 32,109,111,100,117,108,101,115,32,100,111,32,110,111,116,32, 104,97,118,101,32,99,111,100,101,32,111,98,106,101,99,116, 115,46,78,40,1,0,0,0,117,4,0,0,0,78,111,110, 101,40,2,0,0,0,117,3,0,0,0,99,108,115,117,8, 0,0,0,102,117,108,108,110,97,109,101,40,0,0,0,0, 40,0,0,0,0,117,29,0,0,0,60,102,114,111,122,101, 110,32,105,109,112,111,114,116,108,105,98,46,95,98,111,111, 116,115,116,114,97,112,62,117,8,0,0,0,103,101,116,95, 99,111,100,101,243,1,0,0,115,2,0,0,0,0,4,117, 24,0,0,0,66,117,105,108,116,105,110,73,109,112,111,114, 116,101,114,46,103,101,116,95,99,111,100,101,99,2,0,0, 0,0,0,0,0,2,0,0,0,1,0,0,0,67,0,0, 0,115,4,0,0,0,100,1,0,83,40,2,0,0,0,117, 56,0,0,0,82,101,116,117,114,110,32,78,111,110,101,32, 97,115,32,98,117,105,108,116,45,105,110,32,109,111,100,117, 108,101,115,32,100,111,32,110,111,116,32,104,97,118,101,32, 115,111,117,114,99,101,32,99,111,100,101,46,78,40,1,0, 0,0,117,4,0,0,0,78,111,110,101,40,2,0,0,0, 117,3,0,0,0,99,108,115,117,8,0,0,0,102,117,108, 108,110,97,109,101,40,0,0,0,0,40,0,0,0,0,117, 29,0,0,0,60,102,114,111,122,101,110,32,105,109,112,111, 114,116,108,105,98,46,95,98,111,111,116,115,116,114,97,112, 62,117,10,0,0,0,103,101,116,95,115,111,117,114,99,101, 249,1,0,0,115,2,0,0,0,0,4,117,26,0,0,0, 66,117,105,108,116,105,110,73,109,112,111,114,116,101,114,46, 103,101,116,95,115,111,117,114,99,101,99,2,0,0,0,0, 0,0,0,2,0,0,0,1,0,0,0,67,0,0,0,115, 4,0,0,0,100,1,0,83,40,2,0,0,0,117,51,0, 0,0,82,101,116,117,114,110,32,78,111,110,101,32,97,115, 32,98,117,105,108,116,45,105,110,32,109,111,100,117,108,101, 115,32,97,114,101,32,110,101,118,101,114,32,112,97,99,107, 97,103,101,115,46,70,40,1,0,0,0,117,5,0,0,0, 70,97,108,115,101,40,2,0,0,0,117,3,0,0,0,99, 108,115,117,8,0,0,0,102,117,108,108,110,97,109,101,40, 0,0,0,0,40,0,0,0,0,117,29,0,0,0,60,102, 114,111,122,101,110,32,105,109,112,111,114,116,108,105,98,46, 95,98,111,111,116,115,116,114,97,112,62,117,10,0,0,0, 105,115,95,112,97,99,107,97,103,101,255,1,0,0,115,2, 0,0,0,0,4,117,26,0,0,0,66,117,105,108,116,105, 110,73,109,112,111,114,116,101,114,46,105,115,95,112,97,99, 107,97,103,101,78,40,15,0,0,0,117,8,0,0,0,95, 95,110,97,109,101,95,95,117,10,0,0,0,95,95,109,111, 100,117,108,101,95,95,117,12,0,0,0,95,95,113,117,97, 108,110,97,109,101,95,95,117,7,0,0,0,95,95,100,111, 99,95,95,117,11,0,0,0,99,108,97,115,115,109,101,116, 104,111,100,117,11,0,0,0,109,111,100,117,108,101,95,114, 101,112,114,117,4,0,0,0,78,111,110,101,117,11,0,0, 0,102,105,110,100,95,109,111,100,117,108,101,117,11,0,0, 0,115,101,116,95,112,97,99,107,97,103,101,117,10,0,0, 0,115,101,116,95,108,111,97,100,101,114,117,17,0,0,0, 95,114,101,113,117,105,114,101,115,95,98,117,105,108,116,105, 110,117,11,0,0,0,108,111,97,100,95,109,111,100,117,108, 101,117,8,0,0,0,103,101,116,95,99,111,100,101,117,10, 0,0,0,103,101,116,95,115,111,117,114,99,101,117,10,0, 0,0,105,115,95,112,97,99,107,97,103,101,40,1,0,0, 0,117,10,0,0,0,95,95,108,111,99,97,108,115,95,95, 40,0,0,0,0,40,0,0,0,0,117,29,0,0,0,60, 102,114,111,122,101,110,32,105,109,112,111,114,116,108,105,98, 46,95,98,111,111,116,115,116,114,97,112,62,117,15,0,0, 0,66,117,105,108,116,105,110,73,109,112,111,114,116,101,114, 205,1,0,0,115,28,0,0,0,16,7,6,2,18,4,3, 1,18,10,3,1,3,1,3,1,27,11,3,1,21,5,3, 1,21,5,3,1,117,15,0,0,0,66,117,105,108,116,105, 110,73,109,112,111,114,116,101,114,99,1,0,0,0,0,0, 0,0,1,0,0,0,6,0,0,0,66,0,0,0,115,173, 0,0,0,124,0,0,69,101,0,0,90,1,0,100,0,0, 90,2,0,100,1,0,90,3,0,101,4,0,100,2,0,100, 3,0,132,0,0,131,1,0,90,5,0,101,4,0,100,14, 0,100,4,0,100,5,0,132,1,0,131,1,0,90,7,0, 101,4,0,101,8,0,101,9,0,101,10,0,100,6,0,100, 7,0,132,0,0,131,1,0,131,1,0,131,1,0,131,1, 0,90,11,0,101,4,0,101,10,0,100,8,0,100,9,0, 132,0,0,131,1,0,131,1,0,90,12,0,101,4,0,101, 10,0,100,10,0,100,11,0,132,0,0,131,1,0,131,1, 0,90,13,0,101,4,0,101,10,0,100,12,0,100,13,0, 132,0,0,131,1,0,131,1,0,90,14,0,100,14,0,83, 40,15,0,0,0,117,14,0,0,0,70,114,111,122,101,110, 73,109,112,111,114,116,101,114,117,142,0,0,0,77,101,116, 97,32,112,97,116,104,32,105,109,112,111,114,116,32,102,111, 114,32,102,114,111,122,101,110,32,109,111,100,117,108,101,115, 46,10,10,32,32,32,32,65,108,108,32,109,101,116,104,111, 100,115,32,97,114,101,32,101,105,116,104,101,114,32,99,108, 97,115,115,32,111,114,32,115,116,97,116,105,99,32,109,101, 116,104,111,100,115,32,116,111,32,97,118,111,105,100,32,116, 104,101,32,110,101,101,100,32,116,111,10,32,32,32,32,105, 110,115,116,97,110,116,105,97,116,101,32,116,104,101,32,99, 108,97,115,115,46,10,10,32,32,32,32,99,2,0,0,0, 0,0,0,0,2,0,0,0,2,0,0,0,67,0,0,0, 115,16,0,0,0,100,1,0,106,0,0,124,1,0,106,1, 0,131,1,0,83,40,2,0,0,0,78,117,22,0,0,0, 60,109,111,100,117,108,101,32,39,123,125,39,32,40,102,114, 111,122,101,110,41,62,40,2,0,0,0,117,6,0,0,0, 102,111,114,109,97,116,117,8,0,0,0,95,95,110,97,109, 101,95,95,40,2,0,0,0,117,3,0,0,0,99,108,115, 117,1,0,0,0,109,40,0,0,0,0,40,0,0,0,0, 117,29,0,0,0,60,102,114,111,122,101,110,32,105,109,112, 111,114,116,108,105,98,46,95,98,111,111,116,115,116,114,97, 112,62,117,11,0,0,0,109,111,100,117,108,101,95,114,101, 112,114,15,2,0,0,115,2,0,0,0,0,2,117,26,0, 0,0,70,114,111,122,101,110,73,109,112,111,114,116,101,114, 46,109,111,100,117,108,101,95,114,101,112,114,99,3,0,0, 0,0,0,0,0,3,0,0,0,2,0,0,0,67,0,0, 0,115,23,0,0,0,116,0,0,106,1,0,124,1,0,131, 1,0,114,19,0,124,0,0,83,100,1,0,83,40,2,0, 0,0,117,21,0,0,0,70,105,110,100,32,97,32,102,114, 111,122,101,110,32,109,111,100,117,108,101,46,78,40,3,0, 0,0,117,4,0,0,0,95,105,109,112,117,9,0,0,0, 105,115,95,102,114,111,122,101,110,117,4,0,0,0,78,111, 110,101,40,3,0,0,0,117,3,0,0,0,99,108,115,117, 8,0,0,0,102,117,108,108,110,97,109,101,117,4,0,0, 0,112,97,116,104,40,0,0,0,0,40,0,0,0,0,117, 29,0,0,0,60,102,114,111,122,101,110,32,105,109,112,111, 114,116,108,105,98,46,95,98,111,111,116,115,116,114,97,112, 62,117,11,0,0,0,102,105,110,100,95,109,111,100,117,108, 101,19,2,0,0,115,2,0,0,0,0,3,117,26,0,0, 0,70,114,111,122,101,110,73,109,112,111,114,116,101,114,46, 102,105,110,100,95,109,111,100,117,108,101,99,2,0,0,0, 0,0,0,0,4,0,0,0,9,0,0,0,67,0,0,0, 115,97,0,0,0,124,1,0,116,0,0,106,1,0,107,6, 0,125,2,0,121,29,0,116,2,0,106,3,0,124,1,0, 131,1,0,125,3,0,124,3,0,96,4,0,124,3,0,83, 87,110,46,0,1,1,1,124,2,0,12,114,85,0,124,1, 0,116,0,0,106,1,0,107,6,0,114,85,0,116,0,0, 106,1,0,124,1,0,61,110,0,0,130,0,0,89,110,1, 0,88,100,1,0,83,40,2,0,0,0,117,21,0,0,0, 76,111,97,100,32,97,32,102,114,111,122,101,110,32,109,111, 100,117,108,101,46,78,40,5,0,0,0,117,3,0,0,0, 115,121,115,117,7,0,0,0,109,111,100,117,108,101,115,117, 4,0,0,0,95,105,109,112,117,11,0,0,0,105,110,105, 116,95,102,114,111,122,101,110,117,8,0,0,0,95,95,102, 105,108,101,95,95,40,4,0,0,0,117,3,0,0,0,99, 108,115,117,8,0,0,0,102,117,108,108,110,97,109,101,117, 9,0,0,0,105,115,95,114,101,108,111,97,100,117,1,0, 0,0,109,40,0,0,0,0,40,0,0,0,0,117,29,0, 0,0,60,102,114,111,122,101,110,32,105,109,112,111,114,116, 108,105,98,46,95,98,111,111,116,115,116,114,97,112,62,117, 11,0,0,0,108,111,97,100,95,109,111,100,117,108,101,24, 2,0,0,115,18,0,0,0,0,6,15,1,3,1,15,2, 6,1,8,1,3,1,22,1,13,1,117,26,0,0,0,70, 114,111,122,101,110,73,109,112,111,114,116,101,114,46,108,111, 97,100,95,109,111,100,117,108,101,99,2,0,0,0,0,0, 0,0,2,0,0,0,2,0,0,0,67,0,0,0,115,13, 0,0,0,116,0,0,106,1,0,124,1,0,131,1,0,83, 40,1,0,0,0,117,45,0,0,0,82,101,116,117,114,110, 32,116,104,101,32,99,111,100,101,32,111,98,106,101,99,116, 32,102,111,114,32,116,104,101,32,102,114,111,122,101,110,32, 109,111,100,117,108,101,46,40,2,0,0,0,117,4,0,0, 0,95,105,109,112,117,17,0,0,0,103,101,116,95,102,114, 111,122,101,110,95,111,98,106,101,99,116,40,2,0,0,0, 117,3,0,0,0,99,108,115,117,8,0,0,0,102,117,108, 108,110,97,109,101,40,0,0,0,0,40,0,0,0,0,117, 29,0,0,0,60,102,114,111,122,101,110,32,105,109,112,111, 114,116,108,105,98,46,95,98,111,111,116,115,116,114,97,112, 62,117,8,0,0,0,103,101,116,95,99,111,100,101,41,2, 0,0,115,2,0,0,0,0,4,117,23,0,0,0,70,114, 111,122,101,110,73,109,112,111,114,116,101,114,46,103,101,116, 95,99,111,100,101,99,2,0,0,0,0,0,0,0,2,0, 0,0,1,0,0,0,67,0,0,0,115,4,0,0,0,100, 1,0,83,40,2,0,0,0,117,54,0,0,0,82,101,116, 117,114,110,32,78,111,110,101,32,97,115,32,102,114,111,122, 101,110,32,109,111,100,117,108,101,115,32,100,111,32,110,111, 116,32,104,97,118,101,32,115,111,117,114,99,101,32,99,111, 100,101,46,78,40,1,0,0,0,117,4,0,0,0,78,111, 110,101,40,2,0,0,0,117,3,0,0,0,99,108,115,117, 8,0,0,0,102,117,108,108,110,97,109,101,40,0,0,0, 0,40,0,0,0,0,117,29,0,0,0,60,102,114,111,122, 101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,111, 111,116,115,116,114,97,112,62,117,10,0,0,0,103,101,116, 95,115,111,117,114,99,101,47,2,0,0,115,2,0,0,0, 0,4,117,25,0,0,0,70,114,111,122,101,110,73,109,112, 111,114,116,101,114,46,103,101,116,95,115,111,117,114,99,101, 99,2,0,0,0,0,0,0,0,2,0,0,0,2,0,0, 0,67,0,0,0,115,13,0,0,0,116,0,0,106,1,0, 124,1,0,131,1,0,83,40,1,0,0,0,117,41,0,0, 0,82,101,116,117,114,110,32,105,102,32,116,104,101,32,102, 114,111,122,101,110,32,109,111,100,117,108,101,32,105,115,32, 97,32,112,97,99,107,97,103,101,46,40,2,0,0,0,117, 4,0,0,0,95,105,109,112,117,17,0,0,0,105,115,95, 102,114,111,122,101,110,95,112,97,99,107,97,103,101,40,2, 0,0,0,117,3,0,0,0,99,108,115,117,8,0,0,0, 102,117,108,108,110,97,109,101,40,0,0,0,0,40,0,0, 0,0,117,29,0,0,0,60,102,114,111,122,101,110,32,105, 109,112,111,114,116,108,105,98,46,95,98,111,111,116,115,116, 114,97,112,62,117,10,0,0,0,105,115,95,112,97,99,107, 97,103,101,53,2,0,0,115,2,0,0,0,0,4,117,25, 0,0,0,70,114,111,122,101,110,73,109,112,111,114,116,101, 114,46,105,115,95,112,97,99,107,97,103,101,78,40,15,0, 0,0,117,8,0,0,0,95,95,110,97,109,101,95,95,117, 10,0,0,0,95,95,109,111,100,117,108,101,95,95,117,12, 0,0,0,95,95,113,117,97,108,110,97,109,101,95,95,117, 7,0,0,0,95,95,100,111,99,95,95,117,11,0,0,0, 99,108,97,115,115,109,101,116,104,111,100,117,11,0,0,0, 109,111,100,117,108,101,95,114,101,112,114,117,4,0,0,0, 78,111,110,101,117,11,0,0,0,102,105,110,100,95,109,111, 100,117,108,101,117,11,0,0,0,115,101,116,95,112,97,99, 107,97,103,101,117,10,0,0,0,115,101,116,95,108,111,97, 100,101,114,117,16,0,0,0,95,114,101,113,117,105,114,101, 115,95,102,114,111,122,101,110,117,11,0,0,0,108,111,97, 100,95,109,111,100,117,108,101,117,8,0,0,0,103,101,116, 95,99,111,100,101,117,10,0,0,0,103,101,116,95,115,111, 117,114,99,101,117,10,0,0,0,105,115,95,112,97,99,107, 97,103,101,40,1,0,0,0,117,10,0,0,0,95,95,108, 111,99,97,108,115,95,95,40,0,0,0,0,40,0,0,0, 0,117,29,0,0,0,60,102,114,111,122,101,110,32,105,109, 112,111,114,116,108,105,98,46,95,98,111,111,116,115,116,114, 97,112,62,117,14,0,0,0,70,114,111,122,101,110,73,109, 112,111,114,116,101,114,6,2,0,0,115,28,0,0,0,16, 7,6,2,18,4,3,1,18,4,3,1,3,1,3,1,27, 14,3,1,21,5,3,1,21,5,3,1,117,14,0,0,0, 70,114,111,122,101,110,73,109,112,111,114,116,101,114,99,1, 0,0,0,0,0,0,0,1,0,0,0,5,0,0,0,66, 0,0,0,115,74,0,0,0,124,0,0,69,101,0,0,90, 1,0,100,0,0,90,2,0,100,1,0,90,3,0,100,2, 0,100,3,0,132,0,0,90,4,0,100,4,0,100,5,0, 132,0,0,90,5,0,101,6,0,100,6,0,100,10,0,100, 7,0,100,8,0,132,0,1,131,1,0,90,8,0,100,9, 0,83,40,11,0,0,0,117,13,0,0,0,95,76,111,97, 100,101,114,66,97,115,105,99,115,117,83,0,0,0,66,97, 115,101,32,99,108,97,115,115,32,111,102,32,99,111,109,109, 111,110,32,99,111,100,101,32,110,101,101,100,101,100,32,98, 121,32,98,111,116,104,32,83,111,117,114,99,101,76,111,97, 100,101,114,32,97,110,100,10,32,32,32,32,83,111,117,114, 99,101,108,101,115,115,70,105,108,101,76,111,97,100,101,114, 46,99,2,0,0,0,0,0,0,0,5,0,0,0,3,0, 0,0,67,0,0,0,115,88,0,0,0,116,0,0,124,0, 0,106,1,0,124,1,0,131,1,0,131,1,0,100,1,0, 25,125,2,0,124,2,0,106,2,0,100,2,0,100,1,0, 131,2,0,100,3,0,25,125,3,0,124,1,0,106,3,0, 100,2,0,131,1,0,100,4,0,25,125,4,0,124,3,0, 100,5,0,107,2,0,111,87,0,124,4,0,100,5,0,107, 3,0,83,40,6,0,0,0,117,141,0,0,0,67,111,110, 99,114,101,116,101,32,105,109,112,108,101,109,101,110,116,97, 116,105,111,110,32,111,102,32,73,110,115,112,101,99,116,76, 111,97,100,101,114,46,105,115,95,112,97,99,107,97,103,101, 32,98,121,32,99,104,101,99,107,105,110,103,32,105,102,10, 32,32,32,32,32,32,32,32,116,104,101,32,112,97,116,104, 32,114,101,116,117,114,110,101,100,32,98,121,32,103,101,116, 95,102,105,108,101,110,97,109,101,32,104,97,115,32,97,32, 102,105,108,101,110,97,109,101,32,111,102,32,39,95,95,105, 110,105,116,95,95,46,112,121,39,46,105,1,0,0,0,117, 1,0,0,0,46,105,0,0,0,0,105,2,0,0,0,117, 8,0,0,0,95,95,105,110,105,116,95,95,40,4,0,0, 0,117,11,0,0,0,95,112,97,116,104,95,115,112,108,105, 116,117,12,0,0,0,103,101,116,95,102,105,108,101,110,97, 109,101,117,6,0,0,0,114,115,112,108,105,116,117,10,0, 0,0,114,112,97,114,116,105,116,105,111,110,40,5,0,0, 0,117,4,0,0,0,115,101,108,102,117,8,0,0,0,102, 117,108,108,110,97,109,101,117,8,0,0,0,102,105,108,101, 110,97,109,101,117,13,0,0,0,102,105,108,101,110,97,109, 101,95,98,97,115,101,117,9,0,0,0,116,97,105,108,95, 110,97,109,101,40,0,0,0,0,40,0,0,0,0,117,29, 0,0,0,60,102,114,111,122,101,110,32,105,109,112,111,114, 116,108,105,98,46,95,98,111,111,116,115,116,114,97,112,62, 117,10,0,0,0,105,115,95,112,97,99,107,97,103,101,65, 2,0,0,115,8,0,0,0,0,3,25,1,22,1,19,1, 117,24,0,0,0,95,76,111,97,100,101,114,66,97,115,105, 99,115,46,105,115,95,112,97,99,107,97,103,101,99,5,0, 0,0,0,0,0,0,12,0,0,0,22,0,0,0,67,0, 0,0,115,198,1,0,0,124,2,0,100,1,0,100,2,0, 133,2,0,25,125,5,0,124,2,0,100,2,0,100,3,0, 133,2,0,25,125,6,0,124,2,0,100,3,0,100,4,0, 133,2,0,25,125,7,0,124,5,0,116,0,0,107,3,0, 114,105,0,100,5,0,106,1,0,124,1,0,124,5,0,131, 2,0,125,8,0,116,2,0,124,8,0,100,6,0,124,1, 0,100,7,0,124,3,0,131,1,2,130,1,0,110,116,0, 116,3,0,124,6,0,131,1,0,100,2,0,107,3,0,114, 163,0,100,8,0,106,1,0,124,1,0,131,1,0,125,9, 0,116,4,0,124,9,0,131,1,0,1,116,5,0,124,9, 0,131,1,0,130,1,0,110,58,0,116,3,0,124,7,0, 131,1,0,100,2,0,107,3,0,114,221,0,100,9,0,106, 1,0,124,1,0,131,1,0,125,9,0,116,4,0,124,9, 0,131,1,0,1,116,5,0,124,9,0,131,1,0,130,1, 0,110,0,0,124,4,0,100,1,0,107,9,0,114,184,1, 121,20,0,116,7,0,124,4,0,100,10,0,25,131,1,0, 125,10,0,87,110,18,0,4,116,8,0,107,10,0,114,17, 1,1,1,1,89,110,71,0,88,116,9,0,124,6,0,131, 1,0,124,10,0,107,3,0,114,88,1,100,11,0,106,1, 0,124,1,0,131,1,0,125,9,0,116,4,0,124,9,0, 131,1,0,1,116,2,0,124,9,0,100,6,0,124,1,0, 100,7,0,124,3,0,131,1,2,130,1,0,110,0,0,121, 18,0,124,4,0,100,12,0,25,100,13,0,64,125,11,0, 87,110,18,0,4,116,8,0,107,10,0,114,126,1,1,1, 1,89,113,184,1,88,116,9,0,124,7,0,131,1,0,124, 11,0,107,3,0,114,184,1,116,2,0,100,11,0,106,1, 0,124,1,0,131,1,0,100,6,0,124,1,0,100,7,0, 124,3,0,131,1,2,130,1,0,113,184,1,110,0,0,124, 2,0,100,4,0,100,1,0,133,2,0,25,83,40,14,0, 0,0,117,193,0,0,0,82,101,116,117,114,110,32,116,104, 101,32,109,97,114,115,104,97,108,108,101,100,32,98,121,116, 101,115,32,102,114,111,109,32,98,121,116,101,99,111,100,101, 44,32,118,101,114,105,102,121,105,110,103,32,116,104,101,32, 109,97,103,105,99,10,32,32,32,32,32,32,32,32,110,117, 109,98,101,114,44,32,116,105,109,101,115,116,97,109,112,32, 97,110,100,32,115,111,117,114,99,101,32,115,105,122,101,32, 97,108,111,110,103,32,116,104,101,32,119,97,121,46,10,10, 32,32,32,32,32,32,32,32,73,102,32,115,111,117,114,99, 101,95,115,116,97,116,115,32,105,115,32,78,111,110,101,32, 116,104,101,110,32,115,107,105,112,32,116,104,101,32,116,105, 109,101,115,116,97,109,112,32,99,104,101,99,107,46,10,10, 32,32,32,32,32,32,32,32,78,105,4,0,0,0,105,8, 0,0,0,105,12,0,0,0,117,30,0,0,0,98,97,100, 32,109,97,103,105,99,32,110,117,109,98,101,114,32,105,110, 32,123,33,114,125,58,32,123,33,114,125,117,4,0,0,0, 110,97,109,101,117,4,0,0,0,112,97,116,104,117,19,0, 0,0,98,97,100,32,116,105,109,101,115,116,97,109,112,32, 105,110,32,123,125,117,14,0,0,0,98,97,100,32,115,105, 122,101,32,105,110,32,123,125,117,5,0,0,0,109,116,105, 109,101,117,24,0,0,0,98,121,116,101,99,111,100,101,32, 105,115,32,115,116,97,108,101,32,102,111,114,32,123,125,117, 4,0,0,0,115,105,122,101,73,255,255,255,255,0,0,0, 0,40,10,0,0,0,117,13,0,0,0,95,77,65,71,73, 67,95,78,85,77,66,69,82,117,6,0,0,0,102,111,114, 109,97,116,117,11,0,0,0,73,109,112,111,114,116,69,114, 114,111,114,117,3,0,0,0,108,101,110,117,16,0,0,0, 95,118,101,114,98,111,115,101,95,109,101,115,115,97,103,101, 117,8,0,0,0,69,79,70,69,114,114,111,114,117,4,0, 0,0,78,111,110,101,117,3,0,0,0,105,110,116,117,8, 0,0,0,75,101,121,69,114,114,111,114,117,7,0,0,0, 95,114,95,108,111,110,103,40,12,0,0,0,117,4,0,0, 0,115,101,108,102,117,8,0,0,0,102,117,108,108,110,97, 109,101,117,4,0,0,0,100,97,116,97,117,13,0,0,0, 98,121,116,101,99,111,100,101,95,112,97,116,104,117,12,0, 0,0,115,111,117,114,99,101,95,115,116,97,116,115,117,5, 0,0,0,109,97,103,105,99,117,13,0,0,0,114,97,119, 95,116,105,109,101,115,116,97,109,112,117,8,0,0,0,114, 97,119,95,115,105,122,101,117,3,0,0,0,109,115,103,117, 7,0,0,0,109,101,115,115,97,103,101,117,12,0,0,0, 115,111,117,114,99,101,95,109,116,105,109,101,117,11,0,0, 0,115,111,117,114,99,101,95,115,105,122,101,40,0,0,0, 0,40,0,0,0,0,117,29,0,0,0,60,102,114,111,122, 101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,111, 111,116,115,116,114,97,112,62,117,20,0,0,0,95,98,121, 116,101,115,95,102,114,111,109,95,98,121,116,101,99,111,100, 101,73,2,0,0,115,66,0,0,0,0,7,16,1,16,1, 16,1,12,1,18,1,27,1,18,1,15,1,10,1,15,1, 18,1,15,1,10,1,15,1,12,1,3,1,20,1,13,1, 5,2,18,1,15,1,10,1,15,1,12,1,3,1,18,1, 13,1,5,2,18,1,3,1,15,1,21,3,117,34,0,0, 0,95,76,111,97,100,101,114,66,97,115,105,99,115,46,95, 98,121,116,101,115,95,102,114,111,109,95,98,121,116,101,99, 111,100,101,117,10,0,0,0,115,111,117,114,99,101,108,101, 115,115,99,2,0,0,0,1,0,0,0,5,0,0,0,3, 0,0,0,67,0,0,0,115,187,0,0,0,124,1,0,106, 0,0,125,3,0,124,0,0,106,1,0,124,3,0,131,1, 0,125,4,0,124,0,0,106,2,0,124,3,0,131,1,0, 124,1,0,95,3,0,124,2,0,115,69,0,116,4,0,124, 1,0,106,3,0,131,1,0,124,1,0,95,5,0,110,12, 0,124,1,0,106,3,0,124,1,0,95,5,0,124,3,0, 124,1,0,95,6,0,124,0,0,106,7,0,124,3,0,131, 1,0,114,133,0,116,8,0,124,1,0,106,3,0,131,1, 0,100,1,0,25,103,1,0,124,1,0,95,9,0,110,25, 0,124,1,0,106,6,0,106,10,0,100,2,0,131,1,0, 100,1,0,25,124,1,0,95,6,0,124,0,0,124,1,0, 95,11,0,116,12,0,124,4,0,124,1,0,106,13,0,131, 2,0,1,124,1,0,83,40,3,0,0,0,117,82,0,0, 0,72,101,108,112,101,114,32,102,111,114,32,108,111,97,100, 95,109,111,100,117,108,101,32,97,98,108,101,32,116,111,32, 104,97,110,100,108,101,32,101,105,116,104,101,114,32,115,111, 117,114,99,101,32,111,114,32,115,111,117,114,99,101,108,101, 115,115,10,32,32,32,32,32,32,32,32,108,111,97,100,105, 110,103,46,105,0,0,0,0,117,1,0,0,0,46,40,14, 0,0,0,117,8,0,0,0,95,95,110,97,109,101,95,95, 117,8,0,0,0,103,101,116,95,99,111,100,101,117,12,0, 0,0,103,101,116,95,102,105,108,101,110,97,109,101,117,8, 0,0,0,95,95,102,105,108,101,95,95,117,17,0,0,0, 99,97,99,104,101,95,102,114,111,109,95,115,111,117,114,99, 101,117,10,0,0,0,95,95,99,97,99,104,101,100,95,95, 117,11,0,0,0,95,95,112,97,99,107,97,103,101,95,95, 117,10,0,0,0,105,115,95,112,97,99,107,97,103,101,117, 11,0,0,0,95,112,97,116,104,95,115,112,108,105,116,117, 8,0,0,0,95,95,112,97,116,104,95,95,117,10,0,0, 0,114,112,97,114,116,105,116,105,111,110,117,10,0,0,0, 95,95,108,111,97,100,101,114,95,95,117,4,0,0,0,101, 120,101,99,117,8,0,0,0,95,95,100,105,99,116,95,95, 40,5,0,0,0,117,4,0,0,0,115,101,108,102,117,6, 0,0,0,109,111,100,117,108,101,117,10,0,0,0,115,111, 117,114,99,101,108,101,115,115,117,4,0,0,0,110,97,109, 101,117,11,0,0,0,99,111,100,101,95,111,98,106,101,99, 116,40,0,0,0,0,40,0,0,0,0,117,29,0,0,0, 60,102,114,111,122,101,110,32,105,109,112,111,114,116,108,105, 98,46,95,98,111,111,116,115,116,114,97,112,62,117,12,0, 0,0,95,108,111,97,100,95,109,111,100,117,108,101,118,2, 0,0,115,26,0,0,0,0,4,9,1,15,1,18,1,6, 1,21,2,12,1,9,1,15,1,28,2,25,1,9,1,16, 1,117,26,0,0,0,95,76,111,97,100,101,114,66,97,115, 105,99,115,46,95,108,111,97,100,95,109,111,100,117,108,101, 78,70,40,9,0,0,0,117,8,0,0,0,95,95,110,97, 109,101,95,95,117,10,0,0,0,95,95,109,111,100,117,108, 101,95,95,117,12,0,0,0,95,95,113,117,97,108,110,97, 109,101,95,95,117,7,0,0,0,95,95,100,111,99,95,95, 117,10,0,0,0,105,115,95,112,97,99,107,97,103,101,117, 20,0,0,0,95,98,121,116,101,115,95,102,114,111,109,95, 98,121,116,101,99,111,100,101,117,17,0,0,0,109,111,100, 117,108,101,95,102,111,114,95,108,111,97,100,101,114,117,5, 0,0,0,70,97,108,115,101,117,12,0,0,0,95,108,111, 97,100,95,109,111,100,117,108,101,40,1,0,0,0,117,10, 0,0,0,95,95,108,111,99,97,108,115,95,95,40,0,0, 0,0,40,0,0,0,0,117,29,0,0,0,60,102,114,111, 122,101,110,32,105,109,112,111,114,116,108,105,98,46,95,98, 111,111,116,115,116,114,97,112,62,117,13,0,0,0,95,76, 111,97,100,101,114,66,97,115,105,99,115,60,2,0,0,115, 10,0,0,0,16,3,6,2,12,8,12,45,6,1,117,13, 0,0,0,95,76,111,97,100,101,114,66,97,115,105,99,115, 99,1,0,0,0,0,0,0,0,1,0,0,0,2,0,0, 0,66,0,0,0,115,92,0,0,0,124,0,0,69,101,0, 0,90,1,0,100,0,0,90,2,0,100,1,0,100,2,0, 132,0,0,90,3,0,100,3,0,100,4,0,132,0,0,90, 4,0,100,5,0,100,6,0,132,0,0,90,5,0,100,7, 0,100,8,0,132,0,0,90,6,0,100,9,0,100,10,0, 132,0,0,90,7,0,100,11,0,100,12,0,132,0,0,90, 8,0,100,13,0,83,40,14,0,0,0,117,12,0,0,0, 83,111,117,114,99,101,76,111,97,100,101,114,99,2,0,0, 0,0,0,0,0,2,0,0,0,1,0,0,0,67,0,0, 0,115,10,0,0,0,116,0,0,130,1,0,100,1,0,83, 40,2,0,0,0,117,121,0,0,0,79,112,116,105,111,110, 97,108,32,109,101,116,104,111,100,32,116,104,97,116,32,114, 101,116,117,114,110,115,32,116,104,101,32,109,111,100,105,102, 105,99,97,116,105,111,110,32,116,105,109,101,32,40,97,110, 32,105,110,116,41,32,102,111,114,32,116,104,101,10,32,32, 32,32,32,32,32,32,115,112,101,99,105,102,105,101,100,32, 112,97,116,104,44,32,119,104,101,114,101,32,112,97,116,104, 32,105,115,32,97,32,115,116,114,46,10,32,32,32,32,32, 32,32,32,78,40,1,0,0,0,117,19,0,0,0,78,111, 116,73,109,112,108,101,109,101,110,116,101,100,69,114,114,111, 114,40,2,0,0,0,117,4,0,0,0,115,101,108,102,117, 4,0,0,0,112,97,116,104,40,0,0,0,0,40,0,0, 0,0,117,29,0,0,0,60,102,114,111,122,101,110,32,105, 109,112,111,114,116,108,105,98,46,95,98,111,111,116,115,116, 114,97,112,62,117,10,0,0,0,112,97,116,104,95,109,116, 105,109,101,141,2,0,0,115,2,0,0,0,0,4,117,23, 0,0,0,83,111,117,114,99,101,76,111,97,100,101,114,46, 112,97,116,104,95,109,116,105,109,101,99,2,0,0,0,0, 0,0,0,2,0,0,0,3,0,0,0,67,0,0,0,115, 20,0,0,0,105,1,0,124,0,0,106,0,0,124,1,0, 131,1,0,100,1,0,54,83,40,2,0,0,0,117,114,1, 0,0,79,112,116,105,111,110,97,108,32,109,101,116,104,111, 100,32,114,101,116,117,114,110,105,110,103,32,97,32,109,101, 116,97,100,97,116,97,32,100,105,99,116,32,102,111,114,32, 116,104,101,32,115,112,101,99,105,102,105,101,100,32,112,97, 116,104,10,32,32,32,32,32,32,32,32,116,111,32,98,121, 32,116,104,101,32,112,97,116,104,32,40,115,116,114,41,46, 10,32,32,32,32,32,32,32,32,80,111,115,115,105,98,108, 101,32,107,101,121,115,58,10,32,32,32,32,32,32,32,32, 45,32,39,109,116,105,109,101,39,32,40,109,97,110,100,97, 116,111,114,121,41,32,105,115,32,116,104,101,32,110,117,109, 101,114,105,99,32,116,105,109,101,115,116,97,109,112,32,111, 102,32,108,97,115,116,32,115,111,117,114,99,101,10,32,32, 32,32,32,32,32,32,32,32,99,111,100,101,32,109,111,100, 105,102,105,99,97,116,105,111,110,59,10,32,32,32,32,32, 32,32,32,45,32,39,115,105,122,101,39,32,40,111,112,116, 105,111,110,97,108,41,32,105,115,32,116,104,101,32,115,105, 122,101,32,105,110,32,98,121,116,101,115,32,111,102,32,116, 104,101,32,115,111,117,114,99,101,32,99,111,100,101,46,10, 10,32,32,32,32,32,32,32,32,73,109,112,108,101,109,101, 110,116,105,110,103,32,116,104,105,115,32,109,101,116,104,111, 100,32,97,108,108,111,119,115,32,116,104,101,32,108,111,97, 100,101,114,32,116,111,32,114,101,97,100,32,98,121,116,101, 99,111,100,101,32,102,105,108,101,115,46,10,32,32,32,32, 32,32,32,32,117,5,0,0,0,109,116,105,109,101,40,1, 0,0,0,117,10,0,0,0,112,97,116,104,95,109,116,105, 109,101,40,2,0,0,0,117,4,0,0,0,115,101,108,102, 117,4,0,0,0,112,97,116,104,40,0,0,0,0,40,0, 0,0,0,117,29,0,0,0,60,102,114,111,122,101,110,32, 105,109,112,111,114,116,108,105,98,46,95,98,111,111,116,115, 116,114,97,112,62,117,10,0,0,0,112,97,116,104,95,115, 116,97,116,115,147,2,0,0,115,2,0,0,0,0,10,117, 23,0,0,0,83,111,117,114,99,101,76,111,97,100,101,114, 46,112,97,116,104,95,115,116,97,116,115,99,3,0,0,0, 0,0,0,0,3,0,0,0,1,0,0,0,67,0,0,0, 115,10,0,0,0,116,0,0,130,1,0,100,1,0,83,40, 2,0,0,0,117,151,0,0,0,79,112,116,105,111,110,97, 108,32,109,101,116,104,111,100,32,119,104,105,99,104,32,119, 114,105,116,101,115,32,100,97,116,97,32,40,98,121,116,101, 115,41,32,116,111,32,97,32,102,105,108,101,32,112,97,116, 104,32,40,97,32,115,116,114,41,46,10,10,32,32,32,32, 32,32,32,32,73,109,112,108,101,109,101,110,116,105,110,103, 32,116,104,105,115,32,109,101,116,104,111,100,32,97,108,108, 111,119,115,32,102,111,114,32,116,104,101,32,119,114,105,116, 105,110,103,32,111,102,32,98,121,116,101,99,111,100,101,32, 102,105,108,101,115,46,10,10,32,32,32,32,32,32,32,32, 78,40,1,0,0,0,117,19,0,0,0,78,111,116,73,109, 112,108,101,109,101,110,116,101,100,69,114,114,111,114,40,3, 0,0,0,117,4,0,0,0,115,101,108,102,117,4,0,0, 0,112,97,116,104,117,4,0,0,0,100,97,116,97,40,0, 0,0,0,40,0,0,0,0,117,29,0,0,0,60,102,114, 111,122,101,110,32,105,109,112,111,114,116,108,105,98,46,95, 98,111,111,116,115,116,114,97,112,62,117,8,0,0,0,115, 101,116,95,100,97,116,97,159,2,0,0,115,2,0,0,0, 0,6,117,21,0,0,0,83,111,117,114,99,101,76,111,97, 100,101,114,46,115,101,116,95,100,97,116,97,99,2,0,0, 0,0,0,0,0,7,0,0,0,12,0,0,0,67,0,0, 0,115,156,0,0,0,100,1,0,100,2,0,108,0,0,125, 2,0,124,0,0,106,1,0,124,1,0,131,1,0,125,3, 0,121,19,0,124,0,0,106,2,0,124,3,0,131,1,0, 125,4,0,87,110,36,0,4,116,3,0,107,10,0,114,84, 0,1,1,1,116,4,0,100,3,0,100,4,0,124,1,0, 131,1,1,130,1,0,89,110,1,0,88,124,2,0,106,5, 0,116,6,0,106,7,0,124,4,0,131,1,0,106,8,0, 131,1,0,125,5,0,116,6,0,106,9,0,100,2,0,100, 5,0,131,2,0,125,6,0,124,6,0,106,12,0,124,4, 0,106,12,0,124,5,0,100,1,0,25,131,1,0,131,1, 0,83,40,6,0,0,0,117,52,0,0,0,67,111,110,99, 114,101,116,101,32,105,109,112,108,101,109,101,110,116,97,116, 105,111,110,32,111,102,32,73,110,115,112,101,99,116,76,111, 97,100,101,114,46,103,101,116,95,115,111,117,114,99,101,46, 105,0,0,0,0,78,117,39,0,0,0,115,111,117,114,99, 101,32,110,111,116,32,97,118,97,105,108,97,98,108,101,32, 116,104,114,111,117,103,104,32,103,101,116,95,100,97,116,97, 40,41,117,4,0,0,0,110,97,109,101,84,40,13,0,0, 0,117,8,0,0,0,116,111,107,101,110,105,122,101,117,12, 0,0,0,103,101,116,95,102,105,108,101,110,97,109,101,117, 8,0,0,0,103,101,116,95,100,97,116,97,117,7,0,0, 0,73,79,69,114,114,111,114,117,11,0,0,0,73,109,112, 111,114,116,69,114,114,111,114,117,15,0,0,0,100,101,116, 101,99,116,95,101,110,99,111,100,105,110,103,117,3,0,0, 0,95,105,111,117,7,0,0,0,66,121,116,101,115,73,79, 117,8,0,0,0,114,101,97,100,108,105,110,101,117,25,0, 0,0,73,110,99,114,101,109,101,110,116,97,108,78,101,119, 108,105,110,101,68,101,99,111,100,101,114,117,4,0,0,0, 78,111,110,101,117,4,0,0,0,84,114,117,101,117,6,0, 0,0,100,101,99,111,100,101,40,7,0,0,0,117,4,0, 0,0,115,101,108,102,117,8,0,0,0,102,117,108,108,110, 97,109,101,117,8,0,0,0,116,111,107,101,110,105,122,101, 117,4,0,0,0,112,97,116,104,117,12,0,0,0,115,111, 117,114,99,101,95,98,121,116,101,115,117,8,0,0,0,101, 110,99,111,100,105,110,103,117,15,0,0,0,110,101,119,108, 105,110,101,95,100,101,99,111,100,101,114,40,0,0,0,0, 40,0,0,0,0,117,29,0,0,0,60,102,114,111,122,101, 110,32,105,109,112,111,114,116,108,105,98,46,95,98,111,111, 116,115,116,114,97,112,62,117,10,0,0,0,103,101,116,95, 115,111,117,114,99,101,168,2,0,0,115,20,0,0,0,0, 2,12,1,15,1,3,1,19,1,13,1,9,1,14,1,27, 1,18,1,117,23,0,0,0,83,111,117,114,99,101,76,111, 97,100,101,114,46,103,101,116,95,115,111,117,114,99,101,99, 2,0,0,0,0,0,0,0,12,0,0,0,37,0,0,0, 67,0,0,0,115,30,2,0,0,124,0,0,106,0,0,124, 1,0,131,1,0,125,2,0,116,1,0,124,2,0,131,1, 0,125,3,0,100,10,0,125,4,0,124,3,0,100,10,0, 107,9,0,114,61,1,121,19,0,124,0,0,106,3,0,124, 2,0,131,1,0,125,5,0,87,110,18,0,4,116,4,0, 107,10,0,114,84,0,1,1,1,89,113,61,1,88,116,5, 0,124,5,0,100,1,0,25,131,1,0,125,4,0,121,19, 0,124,0,0,106,6,0,124,3,0,131,1,0,125,6,0, 87,110,18,0,4,116,7,0,107,10,0,114,140,0,1,1, 1,89,113,61,1,88,121,28,0,124,0,0,106,8,0,124, 1,0,124,6,0,124,3,0,124,5,0,131,4,0,125,7, 0,87,110,24,0,4,116,9,0,116,10,0,102,2,0,107, 10,0,114,195,0,1,1,1,89,113,61,1,88,116,11,0, 100,2,0,124,3,0,124,2,0,131,3,0,1,116,12,0, 106,13,0,124,7,0,131,1,0,125,8,0,116,14,0,124, 8,0,116,15,0,131,2,0,114,19,1,116,16,0,106,17, 0,124,8,0,124,2,0,131,2,0,1,116,11,0,100,3, 0,124,3,0,131,2,0,1,124,8,0,83,100,4,0,125, 9,0,116,9,0,124,9,0,106,18,0,124,3,0,131,1, 0,100,5,0,124,1,0,100,6,0,124,3,0,131,1,2, 130,1,0,110,0,0,124,0,0,106,6,0,124,2,0,131, 1,0,125,10,0,116,19,0,124,10,0,124,2,0,100,7, 0,100,8,0,100,11,0,131,3,1,125,11,0,116,11,0, 100,3,0,124,2,0,131,2,0,1,116,21,0,106,22,0, 12,114,26,2,124,3,0,100,10,0,107,9,0,114,26,2, 124,4,0,100,10,0,107,9,0,114,26,2,116,23,0,116, 24,0,131,1,0,125,6,0,124,6,0,106,25,0,116,26, 0,124,4,0,131,1,0,131,1,0,1,124,6,0,106,25, 0,116,26,0,116,27,0,124,10,0,131,1,0,131,1,0, 131,1,0,1,124,6,0,106,25,0,116,12,0,106,28,0, 124,11,0,131,1,0,131,1,0,1,121,33,0,124,0,0, 106,29,0,124,3,0,124,6,0,131,2,0,1,116,11,0, 100,9,0,124,3,0,131,2,0,1,87,113,26,2,4,116, 4,0,107,10,0,114,22,2,1,1,1,89,113,26,2,88, 110,0,0,124,11,0,83,40,12,0,0,0,117,190,0,0, 0,67,111,110,99,114,101,116,101,32,105,109,112,108,101,109, 101,110,116,97,116,105,111,110,32,111,102,32,73,110,115,112, 101,99,116,76,111,97,100,101,114,46,103,101,116,95,99,111, 100,101,46,10,10,32,32,32,32,32,32,32,32,82,101,97, 100,105,110,103,32,111,102,32,98,121,116,101,99,111,100,101, 32,114,101,113,117,105,114,101,115,32,112,97,116,104,95,115, 116,97,116,115,32,116,111,32,98,101,32,105,109,112,108,101, 109,101,110,116,101,100,46,32,84,111,32,119,114,105,116,101, 10,32,32,32,32,32,32,32,32,98,121,116,101,99,111,100, 101,44,32,115,101,116,95,100,97,116,97,32,109,117,115,116, 32,97,108,115,111,32,98,101,32,105,109,112,108,101,109,101, 110,116,101,100,46,10,10,32,32,32,32,32,32,32,32,117, 5,0,0,0,109,116,105,109,101,117,13,0,0,0,123,125, 32,109,97,116,99,104,101,115,32,123,125,117,19,0,0,0, 99,111,100,101,32,111,98,106,101,99,116,32,102,114,111,109, 32,123,125,117,21,0,0,0,78,111,110,45,99,111,100,101, 32,111,98,106,101,99,116,32,105,110,32,123,125,117,4,0, 0,0,110,97,109,101,117,4,0,0,0,112,97,116,104,117, 4,0,0,0,101,120,101,99,117,12,0,0,0,100,111,110, 116,95,105,110,104,101,114,105,116,117,10,0,0,0,119,114, 111,116,101,32,123,33,114,125,78,84,40,30,0,0,0,117, 12,0,0,0,103,101,116,95,102,105,108,101,110,97,109,101, 117,17,0,0,0,99,97,99,104,101,95,102,114,111,109,95, 115,111,117,114,99,101,117,4,0,0,0,78,111,110,101,117, 10,0,0,0,112,97,116,104,95,115,116,97,116,115,117,19, 0,0,0,78,111,116,73,109,112,108,101,109,101,110,116,101, 100,69,114,114,111,114,117,3,0,0,0,105,110,116,117,8, 0,0,0,103,101,116,95,100,97,116,97,117,7,0,0,0, 73,79,69,114,114,111,114,117,20,0,0,0,95,98,121,116, 101,115,95,102,114,111,109,95,98,121,116,101,99,111,100,101, 117,11,0,0,0,73,109,112,111,114,116,69,114,114,111,114, 117,8,0,0,0,69,79,70,69,114,114,111,114,117,16,0, 0,0,95,118,101,114,98,111,115,101,95,109,101,115,115,97, 103,101,117,7,0,0,0,109,97,114,115,104,97,108,117,5, 0,0,0,108,111,97,100,115,117,10,0,0,0,105,115,105, 110,115,116,97,110,99,101,117,10,0,0,0,95,99,111,100, 101,95,116,121,112,101,117,4,0,0,0,95,105,109,112,117, 16,0,0,0,95,102,105,120,95,99,111,95,102,105,108,101, 110,97,109,101,117,6,0,0,0,102,111,114,109,97,116,117, 7,0,0,0,99,111,109,112,105,108,101,117,4,0,0,0, 84,114,117,101,117,3,0,0,0,115,121,115,117,19,0,0, 0,100,111,110,116,95,119,114,105,116,101,95,98,121,116,101, 99,111,100,101,117,9,0,0,0,98,121,116,101,97,114,114, 97,121,117,13,0,0,0,95,77,65,71,73,67,95,78,85, 77,66,69,82,117,6,0,0,0,101,120,116,101,110,100,117, 7,0,0,0,95,119,95,108,111,110,103,117,3,0,0,0, 108,101,110,117,5,0,0,0,100,117,109,112,115,117,8,0, 0,0,115,101,116,95,100,97,116,97,40,12,0,0,0,117, 4,0,0,0,115,101,108,102,117,8,0,0,0,102,117,108, 108,110,97,109,101,117,11,0,0,0,115,111,117,114,99,101, 95,112,97,116,104,117,13,0,0,0,98,121,116,101,99,111, 100,101,95,112,97,116,104,117,12,0,0,0,115,111,117,114, 99,101,95,109,116,105,109,101,117,2,0,0,0,115,116,117, 4,0,0,0,100,97,116,97,117,10,0,0,0,98,121,116, 101,115,95,100,97,116,97,117,5,0,0,0,102,111,117,110, 100,117,3,0,0,0,109,115,103,117,12,0,0,0,115,111, 117,114,99,101,95,98,121,116,101,115,117,11,0,0,0,99, 111,100,101,95,111,98,106,101,99,116,40,0,0,0,0,40, 0,0,0,0,117,29,0,0,0,60,102,114,111,122,101,110, 32,105,109,112,111,114,116,108,105,98,46,95,98,111,111,116, 115,116,114,97,112,62,117,8,0,0,0,103,101,116,95,99, 111,100,101,181,2,0,0,115,92,0,0,0,0,7,15,1, 12,1,6,1,12,1,3,1,19,1,13,1,5,2,16,1, 3,1,19,1,13,1,5,2,3,1,12,1,3,1,13,1, 19,1,5,2,9,1,7,1,15,1,15,1,16,1,6,1, 7,1,4,2,6,1,18,1,18,1,15,1,15,1,9,1, 13,1,22,1,12,1,12,1,19,1,25,1,22,1,3,1, 16,1,17,1,13,1,8,1,117,21,0,0,0,83,111,117, 114,99,101,76,111,97,100,101,114,46,103,101,116,95,99,111, 100,101,99,2,0,0,0,0,0,0,0,2,0,0,0,2, 0,0,0,67,0,0,0,115,13,0,0,0,124,0,0,106, 0,0,124,1,0,131,1,0,83,40,1,0,0,0,117,0, 1,0,0,67,111,110,99,114,101,116,101,32,105,109,112,108,