Python ctypes.c_size_t方法代碼示例

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import c_size_t [as 別名]
def lcs(s, t):
    """
        Calculate the longest common subsequence between two sequences in O(min(len(x), len(y))) space and O(len(x) * len(y)) time.
        Implemented in C++.
        Since only one instance from the set of longest common subsequences is returned,
        the algorithm has the unpleasing property of not being commutative (i.e., changing
        the input vectors changes the result).
        :see: https://en.wikipedia.org/wiki/Hirschberg%27s_algorithm
        :param x: First input sequence.
        :param y: Second input sequence.
        :return: LCS(x, y)
    """
    result = create_string_buffer("\0" * min(len(s), len(t)))
    result_len = c_size_t(len(result))
    if isinstance(s, list):
        s = "".join(s)
    if isinstance(t, list):
        t = "".join(t)
    ret = _lib.hirschberg_lcs(s, len(s), t, len(t), result, byref(result_len))
    if ret == 0:
        return result[:result_len.value]
    else:
        raise RuntimeError("lcs returned error code %d" % ret) 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import c_size_t [as 別名]
def hamming_klcs(seqs):
    """
        Implementation of k-LCS as described in Christian Blichmann's thesis "Automatisierte Signaturgenerierung fuer Malware-Staemme" on page 52.
        This algorithm will not forcibly find THE longest common subsequence among all sequences, as the subsequence returned by the 2-LCS algorithm
        might not be the optimal one from the set of longest common subsequences.
        :see: https://static.googleusercontent.com/media/www.zynamics.com/en//downloads/blichmann-christian--diplomarbeit--final.pdf
        :param seqs: List of sequences
        :return: A shared subsequence between the input sequences. Not necessarily the longest one, and only one of several that might exist.
    """
    c_seqs_type = c_char_p * len(seqs)
    c_seqs = c_seqs_type()
    c_seqs[:] = seqs
    c_lens_type = c_size_t * len(seqs)
    c_lens = c_lens_type()
    c_lens[:] = [len(seq) for seq in seqs]
    result = create_string_buffer("\0" * min(len(seq) for seq in seqs))
    result_len = c_size_t(len(result))
    ret = _lib.hamming_klcs_c(c_seqs, c_lens, len(seqs), result, byref(result_len))
    if ret == 0:
        return result[:result_len.value]
    else:
        raise RuntimeError("lcs returned error code %d" % ret) 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import c_size_t [as 別名]
def write(self, buf):
        """Inserts a string buffer as a record.

        Example usage:
        ----------
        >>> record = mx.recordio.MXRecordIO('tmp.rec', 'w')
        >>> for i in range(5):
        ...    record.write('record_%d'%i)
        >>> record.close()

        Parameters
        ----------
        buf : string (python2), bytes (python3)
            Buffer to write.
        """
        assert self.writable
        check_call(_LIB.MXRecordIOWriterWriteRecord(self.handle,
                                                    ctypes.c_char_p(buf),
                                                    ctypes.c_size_t(len(buf)))) 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import c_size_t [as 別名]
def tell(self):
        """Returns the current position of write head.

        Example usage:
        ----------
        >>> record = mx.recordio.MXIndexedRecordIO('tmp.idx', 'tmp.rec', 'w')
        >>> print(record.tell())
        0
        >>> for i in range(5):
        ...     record.write_idx(i, 'record_%d'%i)
        ...     print(record.tell())
        16
        32
        48
        64
        80
        """
        assert self.writable
        pos = ctypes.c_size_t()
        check_call(_LIB.MXRecordIOWriterTell(self.handle, ctypes.byref(pos)))
        return pos.value 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import c_size_t [as 別名]
def asnumpy(self):
        """Returns a ``numpy.ndarray`` object with value copied from this array.

        Examples
        --------
        >>> x = mx.nd.ones((2,3))
        >>> y = x.asnumpy()
        >>> type(y)
        <type 'numpy.ndarray'>
        >>> y
        array([[ 1.,  1.,  1.],
               [ 1.,  1.,  1.]], dtype=float32)
        >>> z = mx.nd.ones((2,3), dtype='int32')
        >>> z.asnumpy()
        array([[1, 1, 1],
               [1, 1, 1]], dtype=int32)
        """
        data = np.empty(self.shape, dtype=self.dtype)
        check_call(_LIB.MXNDArraySyncCopyToCPU(
            self.handle,
            data.ctypes.data_as(ctypes.c_void_p),
            ctypes.c_size_t(data.size)))
        return data 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import c_size_t [as 別名]
def get(self, key, verify_checksums=False, fill_cache=True):
        error = ctypes.POINTER(ctypes.c_char)()
        options = _ldb.leveldb_readoptions_create()
        _ldb.leveldb_readoptions_set_verify_checksums(options,
                verify_checksums)
        _ldb.leveldb_readoptions_set_fill_cache(options, fill_cache)
        if self._snapshot is not None:
            _ldb.leveldb_readoptions_set_snapshot(options, self._snapshot.ref)
        size = ctypes.c_size_t(0)
        val_p = _ldb.leveldb_get(self._db.ref, options, key, len(key),
                ctypes.byref(size), ctypes.byref(error))
        if bool(val_p):
            val = ctypes.string_at(val_p, size.value)
            _ldb.leveldb_free(ctypes.cast(val_p, ctypes.c_void_p))
        else:
            val = None
        _ldb.leveldb_readoptions_destroy(options)
        _checkError(error)
        return val

    # pylint: disable=W0212 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import c_size_t [as 別名]
def approximateDiskSizes(self, *ranges):
        if self._snapshot is not None:
            raise TypeError("cannot calculate disk sizes on leveldb snapshot")
        assert len(ranges) > 0
        key_type = ctypes.c_void_p * len(ranges)
        len_type = ctypes.c_size_t * len(ranges)
        start_keys, start_lens = key_type(), len_type()
        end_keys, end_lens = key_type(), len_type()
        sizes = (ctypes.c_uint64 * len(ranges))()
        for i, range_ in enumerate(ranges):
            assert isinstance(range_, tuple) and len(range_) == 2
            assert isinstance(range_[0], str) and isinstance(range_[1], str)
            start_keys[i] = ctypes.cast(range_[0], ctypes.c_void_p)
            end_keys[i] = ctypes.cast(range_[1], ctypes.c_void_p)
            start_lens[i], end_lens[i] = len(range_[0]), len(range_[1])
        _ldb.leveldb_approximate_sizes(self._db.ref, len(ranges), start_keys,
                start_lens, end_keys, end_lens, sizes)
        return list(sizes) 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import c_size_t [as 別名]
def send(self, data):
        processed_bytes = ctypes.c_size_t(0)

        with self._raise_on_error():
            result = Security.SSLWrite(
                self.context, data, len(data), ctypes.byref(processed_bytes)
            )

        if result == SecurityConst.errSSLWouldBlock and processed_bytes.value == 0:
            # Timed out
            raise socket.timeout("send timed out")
        else:
            _assert_no_error(result)

        # We sent, and probably succeeded. Tell them how much we sent.
        return processed_bytes.value 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import c_size_t [as 別名]
def decrypt_ige(cipher_text, key, iv):
        aes_key = AES_KEY()
        key_len = ctypes.c_int(8 * len(key))
        key = (ctypes.c_ubyte * len(key))(*key)
        iv = (ctypes.c_ubyte * len(iv))(*iv)

        in_len = ctypes.c_size_t(len(cipher_text))
        in_ptr = (ctypes.c_ubyte * len(cipher_text))(*cipher_text)
        out_ptr = (ctypes.c_ubyte * len(cipher_text))()

        _libssl.AES_set_decrypt_key(key, key_len, ctypes.byref(aes_key))
        _libssl.AES_ige_encrypt(
            ctypes.byref(in_ptr),
            ctypes.byref(out_ptr),
            in_len,
            ctypes.byref(aes_key),
            ctypes.byref(iv),
            AES_DECRYPT
        )

        return bytes(out_ptr) 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import c_size_t [as 別名]
def encrypt_ige(plain_text, key, iv):
        aes_key = AES_KEY()
        key_len = ctypes.c_int(8 * len(key))
        key = (ctypes.c_ubyte * len(key))(*key)
        iv = (ctypes.c_ubyte * len(iv))(*iv)

        in_len = ctypes.c_size_t(len(plain_text))
        in_ptr = (ctypes.c_ubyte * len(plain_text))(*plain_text)
        out_ptr = (ctypes.c_ubyte * len(plain_text))()

        _libssl.AES_set_encrypt_key(key, key_len, ctypes.byref(aes_key))
        _libssl.AES_ige_encrypt(
            ctypes.byref(in_ptr),
            ctypes.byref(out_ptr),
            in_len,
            ctypes.byref(aes_key),
            ctypes.byref(iv),
            AES_ENCRYPT
        )

        return bytes(out_ptr) 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import c_size_t [as 別名]
def add(self, ref, pred):
        if not isinstance(ref, torch.IntTensor):
            raise TypeError('ref must be a torch.IntTensor (got {})'
                            .format(type(ref)))
        if not isinstance(pred, torch.IntTensor):
            raise TypeError('pred must be a torch.IntTensor(got {})'
                            .format(type(pred)))

        # don't match unknown words
        rref = ref.clone()
        assert not rref.lt(0).any()
        rref[rref.eq(self.unk)] = -999

        rref = rref.contiguous().view(-1)
        pred = pred.contiguous().view(-1)

        C.bleu_add(
            ctypes.byref(self.stat),
            ctypes.c_size_t(rref.size(0)),
            ctypes.c_void_p(rref.data_ptr()),
            ctypes.c_size_t(pred.size(0)),
            ctypes.c_void_p(pred.data_ptr()),
            ctypes.c_int(self.pad),
            ctypes.c_int(self.eos)) 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import c_size_t [as 別名]
def read(self, addr, length):
        if length > self.session.GetParameter("buffer_size"):
            raise IOError("Too much data to read.")

        result = ctypes.create_string_buffer(length)
        bytes_read = ctypes.c_size_t()
        status = ReadProcessMemory(
            self.process_handle.handle,
            addr, result, length, ctypes.byref(bytes_read))

        # Failed ... return zeros.
        if status == 0:
            return addrspace.ZEROER.GetZeros(length)

        return result.raw

# Register the process AS as a windows one. 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import c_size_t [as 別名]
def asnumpy(self):
        """Convert this array to numpy array

        Returns
        -------
        np_arr : numpy.ndarray
            The corresponding numpy array.
        """
        t = DGLType(self.dtype)
        shape, dtype = self.shape, self.dtype
        if t.lanes > 1:
            shape = shape + (t.lanes,)
            t.lanes = 1
            dtype = str(t)
        np_arr = np.empty(shape, dtype=dtype)
        assert np_arr.flags['C_CONTIGUOUS']
        data = np_arr.ctypes.data_as(ctypes.c_void_p)
        nbytes = ctypes.c_size_t(np_arr.size * np_arr.dtype.itemsize)
        check_call(_LIB.DGLArrayCopyToBytes(self.handle, data, nbytes))
        return np_arr 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import c_size_t [as 別名]
def read(self):
        """Returns record as a string.

        Example usage:
        ----------
        >>> record = mx.recordio.MXRecordIO('tmp.rec', 'r')
        >>> for i in range(5):
        ...    item = record.read()
        ...    print(item)
        record_0
        record_1
        record_2
        record_3
        record_4
        >>> record.close()

        Returns
        ----------
        buf : string
            Buffer read.
        """
        assert not self.writable
        buf = ctypes.c_char_p()
        size = ctypes.c_size_t()
        check_call(_LIB.MXRecordIOReaderReadRecord(self.handle,
                                                   ctypes.byref(buf),
                                                   ctypes.byref(size)))
        if buf:
            buf = ctypes.cast(buf, ctypes.POINTER(ctypes.c_char*size.value))
            return buf.contents.raw
        else:
            return None 

# 需要導入模塊: import ctypes [as 別名]
# 或者: from ctypes import c_size_t [as 別名]
def seek(self, idx):
        """Sets the current read pointer position.

        This function is internally called by `read_idx(idx)` to find the current
        reader pointer position. It doesn't return anything."""
        assert not self.writable
        pos = ctypes.c_size_t(self.idx[idx])
        check_call(_LIB.MXRecordIOReaderSeek(self.handle, pos))