Python builtins.range方法代碼示例

# 需要導入模塊: from past import builtins [as 別名]
# 或者: from past.builtins import range [as 別名]
def test_check_type_and_size_of_param_list(self):
        """
        Ensure that a ValueError is raised if param_list is not a list with the
        expected number of elements
        """
        expected_length = 4
        bad_param_list_1 = set(range(4))
        bad_param_list_2 = range(5)
        # Note that for the purposes of the function being tested, good is
        # defined as a list with four elements. Other functions check the
        # content of those elements
        good_param_list = range(4)

        for param_list in [bad_param_list_1, bad_param_list_2]:
            self.assertRaises(ValueError,
                              base_cm.check_type_and_size_of_param_list,
                              param_list,
                              expected_length)

        args = [good_param_list, expected_length]
        func_results = base_cm.check_type_and_size_of_param_list(*args)
        self.assertIsNone(func_results)

        return None 

# 需要導入模塊: from past import builtins [as 別名]
# 或者: from past.builtins import range [as 別名]
def fcmp(x, y): # fuzzy comparison function
    """
    From Python 2.7 test.test_support
    """
    if isinstance(x, float) or isinstance(y, float):
        try:
            fuzz = (abs(x) + abs(y)) * FUZZ
            if abs(x-y) <= fuzz:
                return 0
        except:
            pass
    elif type(x) == type(y) and isinstance(x, (tuple, list)):
        for i in range(min(len(x), len(y))):
            outcome = fcmp(x[i], y[i])
            if outcome != 0:
                return outcome
        return (len(x) > len(y)) - (len(x) < len(y))
    return (x > y) - (x < y) 

# 需要導入模塊: from past import builtins [as 別名]
# 或者: from past.builtins import range [as 別名]
def test_basic(self):
        data = range(100)
        copy = data[:]
        random.shuffle(copy)
        self.assertEqual(data, sorted(copy))
        self.assertNotEqual(data, copy)

        data.reverse()
        random.shuffle(copy)
        self.assertEqual(data, sorted(copy, cmp=lambda x, y: cmp(y,x)))
        self.assertNotEqual(data, copy)
        random.shuffle(copy)
        self.assertEqual(data, sorted(copy, key=lambda x: -x))
        self.assertNotEqual(data, copy)
        random.shuffle(copy)
        self.assertEqual(data, sorted(copy, reverse=1))
        self.assertNotEqual(data, copy) 

# 需要導入模塊: from past import builtins [as 別名]
# 或者: from past.builtins import range [as 別名]
def get_bonds(self, typ=None, mode=None):
        '''
        Gives a generator to iterate throught bonds in
        this interface. If no type given, bonds of all types
        returned.
        '''
        if typ is None:
            typ = self.types
        if type(typ) is str:
            typ = [typ]
        for t in typ:
            if t in self.__dict__:
                for i in range(0, len(self.__dict__[t])):
                    if mode == 'dict':
                        yield {
                            self.id_a: self.__dict__[t][self.id_a][i],
                            self.id_b: self.id_b,
                            'res_b': self.__dict__[t][self.id_b][i],
                            'type': t
                        }
                    else:
                        yield (self.id_a,) + self.__dict__[t][self.id_a][i] + \
                            (self.id_b,) + self.__dict__[t][self.id_b][i] + \
                            (t,) 

# 需要導入模塊: from past import builtins [as 別名]
# 或者: from past.builtins import range [as 別名]
def decode_chunk(raw_logits, use_random, decode_times):
    tree_decoder = create_tree_decoder()    
    chunk_result = [[] for _ in range(raw_logits.shape[1])]
        
    for i in tqdm(range(raw_logits.shape[1])):
        pred_logits = raw_logits[:, i, :]
        walker = ConditionalDecoder(np.squeeze(pred_logits), use_random)

        for _decode in range(decode_times):
            new_t = Node('smiles')
            try:
                tree_decoder.decode(new_t, walker)
                sampled = get_smiles_from_tree(new_t)
            except Exception as ex:
                if not type(ex).__name__ == 'DecodingLimitExceeded':
                    print('Warning, decoder failed with', ex)
                # failed. output a random junk.
                import random, string
                sampled = 'JUNK' + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(256))

            chunk_result[i].append(sampled)

    return chunk_result 

# 需要導入模塊: from past import builtins [as 別名]
# 或者: from past.builtins import range [as 別名]
def run_job(L):
    chunk_size = 5000
    
    list_binary = Parallel(n_jobs=cmd_args.data_gen_threads, verbose=50)(
        delayed(process_chunk)(L[start: start + chunk_size])
        for start in range(0, len(L), chunk_size)
    )

    all_onehot = np.zeros((len(L), cmd_args.max_decode_steps, DECISION_DIM), dtype=np.byte)
    all_masks = np.zeros((len(L), cmd_args.max_decode_steps, DECISION_DIM), dtype=np.byte)

    for start, b_pair in zip( range(0, len(L), chunk_size), list_binary ):
        all_onehot[start: start + chunk_size, :, :] = b_pair[0]
        all_masks[start: start + chunk_size, :, :] = b_pair[1]

    return all_onehot, all_masks 

# 需要導入模塊: from past import builtins [as 別名]
# 或者: from past.builtins import range [as 別名]
def decode_chunk(raw_logits, use_random, decode_times):
    tree_decoder = ProgTreeDecoder()    
    chunk_result = [[] for _ in range(raw_logits.shape[1])]
        
    for i in tqdm(range(raw_logits.shape[1])):
        pred_logits = raw_logits[:, i, :]
        walker = ConditionalProgramDecoder(np.squeeze(pred_logits), use_random)

        for _decode in range(decode_times):
            new_t = Node('program')
            try:
                tree_decoder.decode(new_t, walker)
                sampled = get_program_from_tree(new_t)
            except Exception as ex:
                print('Warning, decoder failed with', ex)
                # failed. output a random junk.
                import random, string
                sampled = 'JUNK' + ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(256))

            chunk_result[i].append(sampled)

    return chunk_result 

# 需要導入模塊: from past import builtins [as 別名]
# 或者: from past.builtins import range [as 別名]
def crc16(string, value=0):
    """CRC-16 poly: p(x) = x**16 + x**15 + x**2 + 1

    @param string: Data over which to calculate crc.
    @param value: Initial CRC value.
    """
    crc16_table = []
    for byte in range(256):
        crc = 0

        for _ in range(8):
            if (byte ^ crc) & 1:
                crc = (crc >> 1) ^ 0xA001  # polly
            else:
                crc >>= 1

            byte >>= 1

        crc16_table.append(crc)

    for ch in string:
        value = crc16_table[ord(ch) ^ (value & 0xFF)] ^ (value >> 8)

    return value 

# 需要導入模塊: from past import builtins [as 別名]
# 或者: from past.builtins import range [as 別名]
def test_check_param_list_validity(self):
        """
        Go thorough all possible types of 'bad' param_list arguments and
        ensure that the appropriate ValueErrors are raised. Ensure that 'good'
        param_list arguments make it through the function successfully
        """
        # Create a series of good parameter lists that should make it through
        # check_param_list_validity()
        good_list_1 = None
        good_list_2 = [np.zeros(1), np.ones(2), np.ones(2), np.ones(2)]
        good_list_3 = [np.zeros((1, 3)),
                       np.ones((2, 3)),
                       np.ones((2, 3)),
                       np.ones((2, 3))]

        good_lists = [good_list_1, good_list_2, good_list_3]

        # Create a series of bad parameter lists that should all result in
        # ValueErrors being raised.
        bad_list_1 = set(range(4))
        bad_list_2 = range(5)
        bad_list_3 = ['foo', np.zeros(2)]
        bad_list_4 = [np.zeros(2), 'foo']
        bad_list_5 = [np.zeros((2, 3)), np.zeros((2, 4))]
        bad_list_6 = [np.zeros((2, 3)), np.ones(2)]
        bad_list_7 = [np.zeros(3), np.ones((2, 3))]

        bad_lists = [bad_list_1, bad_list_2, bad_list_3,
                     bad_list_4, bad_list_5, bad_list_6,
                     bad_list_7]

        # Alias the function of interest to ensure it fits on one line
        func = self.model_obj.check_param_list_validity

        for param_list in good_lists:
            self.assertIsNone(func(param_list))

        for param_list in bad_lists:
            self.assertRaises(ValueError, func, param_list)

        return None 

# 需要導入模塊: from past import builtins [as 別名]
# 或者: from past.builtins import range [as 別名]
def test_max(self):
        self.assertEqual(max('123123'), '3')
        self.assertEqual(max(1, 2, 3), 3)
        self.assertEqual(max((1, 2, 3, 1, 2, 3)), 3)
        self.assertEqual(max([1, 2, 3, 1, 2, 3]), 3)

        self.assertEqual(max(1, 2, 3.0), 3.0)
        self.assertEqual(max(1, 2.0, 3), 3)
        self.assertEqual(max(1.0, 2, 3), 3)

        for stmt in (
            "max(key=int)",                 # no args
            "max(1, key=int)",              # single arg not iterable
            "max(1, 2, keystone=int)",      # wrong keyword
            "max(1, 2, key=int, abc=int)",  # two many keywords
            "max(1, 2, key=1)",             # keyfunc is not callable
            ):
            try:
                exec(stmt) in globals()
            except TypeError:
                pass
            else:
                self.fail(stmt)

        self.assertEqual(max((1,), key=neg), 1)     # one elem iterable
        self.assertEqual(max((1,2), key=neg), 1)    # two elem iterable
        self.assertEqual(max(1, 2, key=neg), 1)     # two elems

        data = [random.randrange(200) for i in range(100)]
        keys = dict((elem, random.randrange(50)) for elem in data)
        f = keys.__getitem__
        self.assertEqual(max(data, key=f),
                         sorted(reversed(data), key=f)[-1]) 

# 需要導入模塊: from past import builtins [as 別名]
# 或者: from past.builtins import range [as 別名]
def test_next(self):
        it = iter(range(2))
        self.assertEqual(next(it), 0)
        self.assertEqual(next(it), 1)
        self.assertRaises(StopIteration, next, it)
        self.assertRaises(StopIteration, next, it)
        self.assertEqual(next(it, 42), 42)

        class Iter(object):
            def __iter__(self):
                return self
            def next(self):
                raise StopIteration

        it = iter(Iter())
        self.assertEqual(next(it, 42), 42)
        self.assertRaises(StopIteration, next, it)

        def gen():
            yield 1
            return

        it = gen()
        self.assertEqual(next(it), 1)
        self.assertRaises(StopIteration, next, it)
        self.assertEqual(next(it, 42), 42) 

# 需要導入模塊: from past import builtins [as 別名]
# 或者: from past.builtins import range [as 別名]
def test_reduce(self):
        add = lambda x, y: x+y
        self.assertEqual(reduce(add, ['a', 'b', 'c'], ''), 'abc')
        self.assertEqual(
            reduce(add, [['a', 'c'], [], ['d', 'w']], []),
            ['a','c','d','w']
        )
        self.assertEqual(reduce(lambda x, y: x*y, range(2,8), 1), 5040)
        self.assertEqual(
            reduce(lambda x, y: x*y, range(2,21), 1),
            2432902008176640000
        )
        self.assertEqual(reduce(add, Squares(10)), 285)
        self.assertEqual(reduce(add, Squares(10), 0), 285)
        self.assertEqual(reduce(add, Squares(0), 0), 0)
        self.assertRaises(TypeError, reduce)
        self.assertRaises(TypeError, reduce, 42)
        self.assertRaises(TypeError, reduce, 42, 42)
        self.assertRaises(TypeError, reduce, 42, 42, 42)
        self.assertRaises(TypeError, reduce, None, range(5))
        self.assertRaises(TypeError, reduce, add, 42)
        self.assertEqual(reduce(42, "1"), "1") # func is never called with one item
        self.assertEqual(reduce(42, "", "1"), "1") # func is never called with one item
        self.assertRaises(TypeError, reduce, 42, (42, 42))
        self.assertRaises(TypeError, reduce, add, []) # arg 2 must not be empty sequence with no initial value
        self.assertRaises(TypeError, reduce, add, "")
        self.assertRaises(TypeError, reduce, add, ())
        self.assertEqual(reduce(add, [], None), None)
        self.assertEqual(reduce(add, [], 42), 42)

        class BadSeq:
            def __getitem__(self, index):
                raise ValueError
        self.assertRaises(ValueError, reduce, 42, BadSeq()) 

# 需要導入模塊: from past import builtins [as 別名]
# 或者: from past.builtins import range [as 別名]
def test_noniterators_produce_lists(self):
        l = range(10)
        self.assertTrue(isinstance(l, list))

        l2 = zip(l, list('ABCDE')*2)
        self.assertTrue(isinstance(l2, list))

        double = lambda x: x*2
        l3 = map(double, l)
        self.assertTrue(isinstance(l3, list))

        is_odd = lambda x: x % 2 == 1
        l4 = filter(is_odd, range(10))
        self.assertEqual(l4, [1, 3, 5, 7, 9])
        self.assertTrue(isinstance(l4, list)) 

# 需要導入模塊: from past import builtins [as 別名]
# 或者: from past.builtins import range [as 別名]
def hex2rgb(self, rgbhex):
        rgbhex = rgbhex.lstrip('#')
        lv = len(rgbhex)
        return tuple(int(rgbhex[i:i + 2], 16) for i in range(0, lv, 2)) 

# 需要導入模塊: from past import builtins [as 別名]
# 或者: from past.builtins import range [as 別名]
def colnames(self):
        # font size for labels:
        self.xlabpt = self.max_text(self.xlabs, self.cellw)
        y = self.margin[2] + self.ycoo[0] + self.ycoo[1] / 2.0
        for xi in range(2, len(self.xcoo)):
            x = self.margin[0] + sum(self.xcoo[:xi]) + self.cellw / 2.0
            lab = self.xlabs[xi - 2]
            self.label(lab, x, y, self.xlabpt, self.colors['embl_gray875'])