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import osfrom os.path import join
 import sys
 
 import numpy as np
 from numpy.testing import (assert_equal, assert_allclose, assert_array_equal,
 assert_raises)
 import pytest
 
 from numpy.random import (
 Generator, MT19937, PCG64, PCG64DXSM, Philox, RandomState, SeedSequence,
 SFC64, default_rng
 )
 from numpy.random._common import interface
 
 try:
 import cffi  # noqa: F401
 
 MISSING_CFFI = False
 except ImportError:
 MISSING_CFFI = True
 
 try:
 import ctypes  # noqa: F401
 
 MISSING_CTYPES = False
 except ImportError:
 MISSING_CTYPES = False
 
 if sys.flags.optimize > 1:
 # no docstrings present to inspect when PYTHONOPTIMIZE/Py_OptimizeFlag > 1
 # cffi cannot succeed
 MISSING_CFFI = True
 
 
 pwd = os.path.dirname(os.path.abspath(__file__))
 
 
 def assert_state_equal(actual, target):
 for key in actual:
 if isinstance(actual[key], dict):
 assert_state_equal(actual[key], target[key])
 elif isinstance(actual[key], np.ndarray):
 assert_array_equal(actual[key], target[key])
 else:
 assert actual[key] == target[key]
 
 
 def uint32_to_float32(u):
 return ((u >> np.uint32(8)) * (1.0 / 2**24)).astype(np.float32)
 
 
 def uniform32_from_uint64(x):
 x = np.uint64(x)
 upper = np.array(x >> np.uint64(32), dtype=np.uint32)
 lower = np.uint64(0xffffffff)
 lower = np.array(x & lower, dtype=np.uint32)
 joined = np.column_stack([lower, upper]).ravel()
 return uint32_to_float32(joined)
 
 
 def uniform32_from_uint53(x):
 x = np.uint64(x) >> np.uint64(16)
 x = np.uint32(x & np.uint64(0xffffffff))
 return uint32_to_float32(x)
 
 
 def uniform32_from_uint32(x):
 return uint32_to_float32(x)
 
 
 def uniform32_from_uint(x, bits):
 if bits == 64:
 return uniform32_from_uint64(x)
 elif bits == 53:
 return uniform32_from_uint53(x)
 elif bits == 32:
 return uniform32_from_uint32(x)
 else:
 raise NotImplementedError
 
 
 def uniform_from_uint(x, bits):
 if bits in (64, 63, 53):
 return uniform_from_uint64(x)
 elif bits == 32:
 return uniform_from_uint32(x)
 
 
 def uniform_from_uint64(x):
 return (x >> np.uint64(11)) * (1.0 / 9007199254740992.0)
 
 
 def uniform_from_uint32(x):
 out = np.empty(len(x) // 2)
 for i in range(0, len(x), 2):
 a = x[i] >> 5
 b = x[i + 1] >> 6
 out[i // 2] = (a * 67108864.0 + b) / 9007199254740992.0
 return out
 
 
 def uniform_from_dsfmt(x):
 return x.view(np.double) - 1.0
 
 
 def gauss_from_uint(x, n, bits):
 if bits in (64, 63):
 doubles = uniform_from_uint64(x)
 elif bits == 32:
 doubles = uniform_from_uint32(x)
 else:  # bits == 'dsfmt'
 doubles = uniform_from_dsfmt(x)
 gauss = []
 loc = 0
 x1 = x2 = 0.0
 while len(gauss) < n:
 r2 = 2
 while r2 >= 1.0 or r2 == 0.0:
 x1 = 2.0 * doubles[loc] - 1.0
 x2 = 2.0 * doubles[loc + 1] - 1.0
 r2 = x1 * x1 + x2 * x2
 loc += 2
 
 f = np.sqrt(-2.0 * np.log(r2) / r2)
 gauss.append(f * x2)
 gauss.append(f * x1)
 
 return gauss[:n]
 
 
 def test_seedsequence():
 from numpy.random.bit_generator import (ISeedSequence,
 ISpawnableSeedSequence,
 SeedlessSeedSequence)
 
 s1 = SeedSequence(range(10), spawn_key=(1, 2), pool_size=6)
 s1.spawn(10)
 s2 = SeedSequence(**s1.state)
 assert_equal(s1.state, s2.state)
 assert_equal(s1.n_children_spawned, s2.n_children_spawned)
 
 # The interfaces cannot be instantiated themselves.
 assert_raises(TypeError, ISeedSequence)
 assert_raises(TypeError, ISpawnableSeedSequence)
 dummy = SeedlessSeedSequence()
 assert_raises(NotImplementedError, dummy.generate_state, 10)
 assert len(dummy.spawn(10)) == 10
 
 
 def test_generator_spawning():
 """ Test spawning new generators and bit_generators directly.
 """
 rng = np.random.default_rng()
 seq = rng.bit_generator.seed_seq
 new_ss = seq.spawn(5)
 expected_keys = [seq.spawn_key + (i,) for i in range(5)]
 assert [c.spawn_key for c in new_ss] == expected_keys
 
 new_bgs = rng.bit_generator.spawn(5)
 expected_keys = [seq.spawn_key + (i,) for i in range(5, 10)]
 assert [bg.seed_seq.spawn_key for bg in new_bgs] == expected_keys
 
 new_rngs = rng.spawn(5)
 expected_keys = [seq.spawn_key + (i,) for i in range(10, 15)]
 found_keys = [rng.bit_generator.seed_seq.spawn_key for rng in new_rngs]
 assert found_keys == expected_keys
 
 # Sanity check that streams are actually different:
 assert new_rngs[0].uniform() != new_rngs[1].uniform()
 
 
 def test_non_spawnable():
 from numpy.random.bit_generator import ISeedSequence
 
 class FakeSeedSequence:
 def generate_state(self, n_words, dtype=np.uint32):
 return np.zeros(n_words, dtype=dtype)
 
 ISeedSequence.register(FakeSeedSequence)
 
 rng = np.random.default_rng(FakeSeedSequence())
 
 with pytest.raises(TypeError, match="The underlying SeedSequence"):
 rng.spawn(5)
 
 with pytest.raises(TypeError, match="The underlying SeedSequence"):
 rng.bit_generator.spawn(5)
 
 
 class Base:
 dtype = np.uint64
 data2 = data1 = {}
 
 @classmethod
 def setup_class(cls):
 cls.bit_generator = PCG64
 cls.bits = 64
 cls.dtype = np.uint64
 cls.seed_error_type = TypeError
 cls.invalid_init_types = []
 cls.invalid_init_values = []
 
 @classmethod
 def _read_csv(cls, filename):
 with open(filename) as csv:
 seed = csv.readline()
 seed = seed.split(',')
 seed = [int(s.strip(), 0) for s in seed[1:]]
 data = []
 for line in csv:
 data.append(int(line.split(',')[-1].strip(), 0))
 return {'seed': seed, 'data': np.array(data, dtype=cls.dtype)}
 
 def test_raw(self):
 bit_generator = self.bit_generator(*self.data1['seed'])
 uints = bit_generator.random_raw(1000)
 assert_equal(uints, self.data1['data'])
 
 bit_generator = self.bit_generator(*self.data1['seed'])
 uints = bit_generator.random_raw()
 assert_equal(uints, self.data1['data'][0])
 
 bit_generator = self.bit_generator(*self.data2['seed'])
 uints = bit_generator.random_raw(1000)
 assert_equal(uints, self.data2['data'])
 
 def test_random_raw(self):
 bit_generator = self.bit_generator(*self.data1['seed'])
 uints = bit_generator.random_raw(output=False)
 assert uints is None
 uints = bit_generator.random_raw(1000, output=False)
 assert uints is None
 
 def test_gauss_inv(self):
 n = 25
 rs = RandomState(self.bit_generator(*self.data1['seed']))
 gauss = rs.standard_normal(n)
 assert_allclose(gauss,
 gauss_from_uint(self.data1['data'], n, self.bits))
 
 rs = RandomState(self.bit_generator(*self.data2['seed']))
 gauss = rs.standard_normal(25)
 assert_allclose(gauss,
 gauss_from_uint(self.data2['data'], n, self.bits))
 
 def test_uniform_double(self):
 rs = Generator(self.bit_generator(*self.data1['seed']))
 vals = uniform_from_uint(self.data1['data'], self.bits)
 uniforms = rs.random(len(vals))
 assert_allclose(uniforms, vals)
 assert_equal(uniforms.dtype, np.float64)
 
 rs = Generator(self.bit_generator(*self.data2['seed']))
 vals = uniform_from_uint(self.data2['data'], self.bits)
 uniforms = rs.random(len(vals))
 assert_allclose(uniforms, vals)
 assert_equal(uniforms.dtype, np.float64)
 
 def test_uniform_float(self):
 rs = Generator(self.bit_generator(*self.data1['seed']))
 vals = uniform32_from_uint(self.data1['data'], self.bits)
 uniforms = rs.random(len(vals), dtype=np.float32)
 assert_allclose(uniforms, vals)
 assert_equal(uniforms.dtype, np.float32)
 
 rs = Generator(self.bit_generator(*self.data2['seed']))
 vals = uniform32_from_uint(self.data2['data'], self.bits)
 uniforms = rs.random(len(vals), dtype=np.float32)
 assert_allclose(uniforms, vals)
 assert_equal(uniforms.dtype, np.float32)
 
 def test_repr(self):
 rs = Generator(self.bit_generator(*self.data1['seed']))
 assert 'Generator' in repr(rs)
 assert f'{id(rs):#x}'.upper().replace('X', 'x') in repr(rs)
 
 def test_str(self):
 rs = Generator(self.bit_generator(*self.data1['seed']))
 assert 'Generator' in str(rs)
 assert str(self.bit_generator.__name__) in str(rs)
 assert f'{id(rs):#x}'.upper().replace('X', 'x') not in str(rs)
 
 def test_pickle(self):
 import pickle
 
 bit_generator = self.bit_generator(*self.data1['seed'])
 state = bit_generator.state
 bitgen_pkl = pickle.dumps(bit_generator)
 reloaded = pickle.loads(bitgen_pkl)
 reloaded_state = reloaded.state
 assert_array_equal(Generator(bit_generator).standard_normal(1000),
 Generator(reloaded).standard_normal(1000))
 assert bit_generator is not reloaded
 assert_state_equal(reloaded_state, state)
 
 ss = SeedSequence(100)
 aa = pickle.loads(pickle.dumps(ss))
 assert_equal(ss.state, aa.state)
 
 def test_invalid_state_type(self):
 bit_generator = self.bit_generator(*self.data1['seed'])
 with pytest.raises(TypeError):
 bit_generator.state = {'1'}
 
 def test_invalid_state_value(self):
 bit_generator = self.bit_generator(*self.data1['seed'])
 state = bit_generator.state
 state['bit_generator'] = 'otherBitGenerator'
 with pytest.raises(ValueError):
 bit_generator.state = state
 
 def test_invalid_init_type(self):
 bit_generator = self.bit_generator
 for st in self.invalid_init_types:
 with pytest.raises(TypeError):
 bit_generator(*st)
 
 def test_invalid_init_values(self):
 bit_generator = self.bit_generator
 for st in self.invalid_init_values:
 with pytest.raises((ValueError, OverflowError)):
 bit_generator(*st)
 
 def test_benchmark(self):
 bit_generator = self.bit_generator(*self.data1['seed'])
 bit_generator._benchmark(1)
 bit_generator._benchmark(1, 'double')
 with pytest.raises(ValueError):
 bit_generator._benchmark(1, 'int32')
 
 @pytest.mark.skipif(MISSING_CFFI, reason='cffi not available')
 def test_cffi(self):
 bit_generator = self.bit_generator(*self.data1['seed'])
 cffi_interface = bit_generator.cffi
 assert isinstance(cffi_interface, interface)
 other_cffi_interface = bit_generator.cffi
 assert other_cffi_interface is cffi_interface
 
 @pytest.mark.skipif(MISSING_CTYPES, reason='ctypes not available')
 def test_ctypes(self):
 bit_generator = self.bit_generator(*self.data1['seed'])
 ctypes_interface = bit_generator.ctypes
 assert isinstance(ctypes_interface, interface)
 other_ctypes_interface = bit_generator.ctypes
 assert other_ctypes_interface is ctypes_interface
 
 def test_getstate(self):
 bit_generator = self.bit_generator(*self.data1['seed'])
 state = bit_generator.state
 alt_state = bit_generator.__getstate__()
 assert_state_equal(state, alt_state)
 
 
 class TestPhilox(Base):
 @classmethod
 def setup_class(cls):
 cls.bit_generator = Philox
 cls.bits = 64
 cls.dtype = np.uint64
 cls.data1 = cls._read_csv(
 join(pwd, './data/philox-testset-1.csv'))
 cls.data2 = cls._read_csv(
 join(pwd, './data/philox-testset-2.csv'))
 cls.seed_error_type = TypeError
 cls.invalid_init_types = []
 cls.invalid_init_values = [(1, None, 1), (-1,), (None, None, 2 ** 257 + 1)]
 
 def test_set_key(self):
 bit_generator = self.bit_generator(*self.data1['seed'])
 state = bit_generator.state
 keyed = self.bit_generator(counter=state['state']['counter'],
 key=state['state']['key'])
 assert_state_equal(bit_generator.state, keyed.state)
 
 
 class TestPCG64(Base):
 @classmethod
 def setup_class(cls):
 cls.bit_generator = PCG64
 cls.bits = 64
 cls.dtype = np.uint64
 cls.data1 = cls._read_csv(join(pwd, './data/pcg64-testset-1.csv'))
 cls.data2 = cls._read_csv(join(pwd, './data/pcg64-testset-2.csv'))
 cls.seed_error_type = (ValueError, TypeError)
 cls.invalid_init_types = [(3.2,), ([None],), (1, None)]
 cls.invalid_init_values = [(-1,)]
 
 def test_advance_symmetry(self):
 rs = Generator(self.bit_generator(*self.data1['seed']))
 state = rs.bit_generator.state
 step = -0x9e3779b97f4a7c150000000000000000
 rs.bit_generator.advance(step)
 val_neg = rs.integers(10)
 rs.bit_generator.state = state
 rs.bit_generator.advance(2**128 + step)
 val_pos = rs.integers(10)
 rs.bit_generator.state = state
 rs.bit_generator.advance(10 * 2**128 + step)
 val_big = rs.integers(10)
 assert val_neg == val_pos
 assert val_big == val_pos
 
 def test_advange_large(self):
 rs = Generator(self.bit_generator(38219308213743))
 pcg = rs.bit_generator
 state = pcg.state["state"]
 initial_state = 287608843259529770491897792873167516365
 assert state["state"] == initial_state
 pcg.advance(sum(2**i for i in (96, 64, 32, 16, 8, 4, 2, 1)))
 state = pcg.state["state"]
 advanced_state = 135275564607035429730177404003164635391
 assert state["state"] == advanced_state
 
 
 class TestPCG64DXSM(Base):
 @classmethod
 def setup_class(cls):
 cls.bit_generator = PCG64DXSM
 cls.bits = 64
 cls.dtype = np.uint64
 cls.data1 = cls._read_csv(join(pwd, './data/pcg64dxsm-testset-1.csv'))
 cls.data2 = cls._read_csv(join(pwd, './data/pcg64dxsm-testset-2.csv'))
 cls.seed_error_type = (ValueError, TypeError)
 cls.invalid_init_types = [(3.2,), ([None],), (1, None)]
 cls.invalid_init_values = [(-1,)]
 
 def test_advance_symmetry(self):
 rs = Generator(self.bit_generator(*self.data1['seed']))
 state = rs.bit_generator.state
 step = -0x9e3779b97f4a7c150000000000000000
 rs.bit_generator.advance(step)
 val_neg = rs.integers(10)
 rs.bit_generator.state = state
 rs.bit_generator.advance(2**128 + step)
 val_pos = rs.integers(10)
 rs.bit_generator.state = state
 rs.bit_generator.advance(10 * 2**128 + step)
 val_big = rs.integers(10)
 assert val_neg == val_pos
 assert val_big == val_pos
 
 def test_advange_large(self):
 rs = Generator(self.bit_generator(38219308213743))
 pcg = rs.bit_generator
 state = pcg.state
 initial_state = 287608843259529770491897792873167516365
 assert state["state"]["state"] == initial_state
 pcg.advance(sum(2**i for i in (96, 64, 32, 16, 8, 4, 2, 1)))
 state = pcg.state["state"]
 advanced_state = 277778083536782149546677086420637664879
 assert state["state"] == advanced_state
 
 
 class TestMT19937(Base):
 @classmethod
 def setup_class(cls):
 cls.bit_generator = MT19937
 cls.bits = 32
 cls.dtype = np.uint32
 cls.data1 = cls._read_csv(join(pwd, './data/mt19937-testset-1.csv'))
 cls.data2 = cls._read_csv(join(pwd, './data/mt19937-testset-2.csv'))
 cls.seed_error_type = ValueError
 cls.invalid_init_types = []
 cls.invalid_init_values = [(-1,)]
 
 def test_seed_float_array(self):
 assert_raises(TypeError, self.bit_generator, np.array([np.pi]))
 assert_raises(TypeError, self.bit_generator, np.array([-np.pi]))
 assert_raises(TypeError, self.bit_generator, np.array([np.pi, -np.pi]))
 assert_raises(TypeError, self.bit_generator, np.array([0, np.pi]))
 assert_raises(TypeError, self.bit_generator, [np.pi])
 assert_raises(TypeError, self.bit_generator, [0, np.pi])
 
 def test_state_tuple(self):
 rs = Generator(self.bit_generator(*self.data1['seed']))
 bit_generator = rs.bit_generator
 state = bit_generator.state
 desired = rs.integers(2 ** 16)
 tup = (state['bit_generator'], state['state']['key'],
 state['state']['pos'])
 bit_generator.state = tup
 actual = rs.integers(2 ** 16)
 assert_equal(actual, desired)
 tup = tup + (0, 0.0)
 bit_generator.state = tup
 actual = rs.integers(2 ** 16)
 assert_equal(actual, desired)
 
 
 class TestSFC64(Base):
 @classmethod
 def setup_class(cls):
 cls.bit_generator = SFC64
 cls.bits = 64
 cls.dtype = np.uint64
 cls.data1 = cls._read_csv(
 join(pwd, './data/sfc64-testset-1.csv'))
 cls.data2 = cls._read_csv(
 join(pwd, './data/sfc64-testset-2.csv'))
 cls.seed_error_type = (ValueError, TypeError)
 cls.invalid_init_types = [(3.2,), ([None],), (1, None)]
 cls.invalid_init_values = [(-1,)]
 
 
 class TestDefaultRNG:
 def test_seed(self):
 for args in [(), (None,), (1234,), ([1234, 5678],)]:
 rg = default_rng(*args)
 assert isinstance(rg.bit_generator, PCG64)
 
 def test_passthrough(self):
 bg = Philox()
 rg = default_rng(bg)
 assert rg.bit_generator is bg
 rg2 = default_rng(rg)
 assert rg2 is rg
 assert rg2.bit_generator is bg
 
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