Python io.BytesIO方法代碼示例

# 需要導入模塊: import io [as 別名]
# 或者: from io import BytesIO [as 別名]
def _deserialize(self, data, type_):

        if self.compress:
        # decompress the data if needed
            data = lz4.frame.decompress(data)

        if type_ == _NUMPY:
        # deserialize numpy arrays
            buf = io.BytesIO(data)
            data = np.load(buf)

        elif type_ == _PICKLE:
        # deserialize other python objects
            data = pickle.loads(data)

        else:
        # Otherwise we just return data as it is (bytes)
            pass

        return data 

# 需要導入模塊: import io [as 別名]
# 或者: from io import BytesIO [as 別名]
def hash(self, state: str) -> str:
        """Generate a hash representing the current sample state.

        :param state: string capturing the current system configuration state

        This function must be overridden to generate a meaningful hash for the current
        set of input samples."""

        newstate = io.BytesIO(state.encode('utf-8'))

        for k in ('input_patterns', 'samples_dir', 'val_dir', 'val_num', 'val_perc',
                  'test_dir', 'test_num', 'test_perc', 'random_seed'):
            newstate.write(str(getattr(self, k)).encode('utf-8'))

        md5 = hashlib.md5()
        md5.update(newstate.getvalue())
        return md5.hexdigest() 

# 需要導入模塊: import io [as 別名]
# 或者: from io import BytesIO [as 別名]
def __init__(self, name, width, height, preact=True,
                 postact=False, model_nm=None, props=None):

        super().__init__(name, preact=preact,
                         postact=postact, model_nm=model_nm,
                         props=props)

        self.disp_census = True
        self.width = width
        self.height = height
        self.max_dist = self.width * self.height
        self.scatter_plot = None
        self.plot_title = "Agent Positions"
# it only makes sense to plot agents in a spatial env, so add this here:
        self.menu.view.add_menu_item("s",
                                     menu.MenuLeaf("(s)catter plot",
                                                   self.plot))
        self.image_bytes = io.BytesIO() 

# 需要導入模塊: import io [as 別名]
# 或者: from io import BytesIO [as 別名]
def deserialize(rawbytes):
    '''
        Deserialize given bytes according to the supported Avro schema.

    :param rawbytes: A buffered I/O implementation using an in-memory bytes buffer.
    :returns       : List of ``str`` objects, extracted from the binary stream.
    :rtype         : ``list``
    '''
    decoder = avro.io.BinaryDecoder(io.BytesIO(rawbytes))
    reader  = avro.io.DatumReader(avro.schema.parse(AVSC))

    try: return reader.read(decoder)[list.__name__]
    except Exception as exc:
        logging.getLogger('SPOT.INGEST.COMMON.SERIALIZER')\
            .error('[{0}] {1}'.format(exc.__class__.__name__, exc.message))

    return [] 

# 需要導入模塊: import io [as 別名]
# 或者: from io import BytesIO [as 別名]
def serialize(value):
    '''
        Convert a ``list`` object to an avro-encoded format.

    :param value: List of ``str`` objects.
    :returns    : A buffered I/O implementation using an in-memory bytes buffer.
    :rtype      : ``str``
    '''
    writer   = avro.io.DatumWriter(avro.schema.parse(AVSC))
    rawbytes = io.BytesIO()

    try:
        writer.write({ list.__name__: value }, avro.io.BinaryEncoder(rawbytes))
        return rawbytes
    except avro.io.AvroTypeException:
        logging.getLogger('SPOT.INGEST.COMMON.SERIALIZER')\
            .error('The type of ``{0}`` is not supported by the Avro schema.'
            .format(type(value).__name__))

    return None 

# 需要導入模塊: import io [as 別名]
# 或者: from io import BytesIO [as 別名]
def screenshot(self, name):
        '''
        screenshot()
        Takes a screenshot of the browser
        '''
        if do_crop:
            print('cropping screenshot')
            #  Grab screenshot rather than saving
            im = self.browser.get_screenshot_as_png()
            im = Image.open(BytesIO(im))

            #  Crop to specifications
            im = im.crop((crop_x, crop_y, crop_width, crop_height))
            im.save(name)
        else:
            self.browser.save_screenshot(name)
        print("success saving screenshot: %s" % name)
        return name 

# 需要導入模塊: import io [as 別名]
# 或者: from io import BytesIO [as 別名]
def _serialize_data(self, data):

        # Default to raw bytes
        type_ = _BYTES

        if isinstance(data, np.ndarray):
        # When the data is a numpy array, use the more compact native
        # numpy format.
            buf = io.BytesIO()
            np.save(buf, data)
            data = buf.getvalue()
            type_ = _NUMPY

        elif not isinstance(data, (bytearray, bytes)):
        # Everything else except byte data is serialized in pickle format.
            data = pickle.dumps(data)
            type_ = _PICKLE

        if self.compress:
        # Optional compression
            data = lz4.frame.compress(data)

        return type_, data 

# 需要導入模塊: import io [as 別名]
# 或者: from io import BytesIO [as 別名]
def ls(args):
    bucket = resources.s3.Bucket(args.billing_reports_bucket.format(account_id=ARN.get_account_id()))
    now = datetime.utcnow()
    year = args.year or now.year
    month = str(args.month or now.month).zfill(2)
    next_year = year + ((args.month or now.month) + 1) // 12
    next_month = str(((args.month or now.month) + 1) % 12).zfill(2)
    manifest_name = "aegea/{report}/{yr}{mo}01-{next_yr}{next_mo}01/{report}-Manifest.json"
    manifest_name = manifest_name.format(report=__name__, yr=year, mo=month, next_yr=next_year, next_mo=next_month)
    try:
        manifest = json.loads(bucket.Object(manifest_name).get().get("Body").read())
        for report_key in manifest["reportKeys"]:
            report = BytesIO(bucket.Object(report_key).get().get("Body").read())
            with gzip.GzipFile(fileobj=report) as fh:
                reader = csv.DictReader(fh)
                for line in reader:
                    page_output(tabulate(filter_line_items(reader, args), args))
    except ClientError as e:
        msg = 'Unable to get report {} from {}: {}. Run "aegea billing configure" to enable reports.'
        raise AegeaException(msg.format(manifest_name, bucket, e)) 

# 需要導入模塊: import io [as 別名]
# 或者: from io import BytesIO [as 別名]
def call_command():
    from django.core.management import call_command

    class CallCommand(object):
        def __init__(self):
            self.io = BytesIO()

        def __call__(self, *args, **kwargs):
            self.io = BytesIO()
            stdout = sys.stdout
            try:
                sys.stdout = self.io
                call_command(*args, **kwargs)
            finally:
                sys.stdout = stdout
            return self

        @property
        def stdout(self):
            return self.io.getvalue()

    return CallCommand() 

# 需要導入模塊: import io [as 別名]
# 或者: from io import BytesIO [as 別名]
def serialize_ndarray_npy(o):
    """
    Serializes a :obj:`numpy.ndarray` using numpy's built-in :obj:`save` function.
    This produces totally unreadable (and very un-JSON-like) results (in "npy"
    format), but it's basically guaranteed to work in 100% of cases.

    Args:
        o (:obj:`numpy.ndarray`): :obj:`ndarray` to be serialized.

    Returns:
        A dictionary that can be passed to :obj:`json.dumps`.
    """
    with io.BytesIO() as f:
        np.save(f, o)
        f.seek(0)
        serialized = json.dumps(f.read().decode('latin-1'))
    return dict(
        _type='np.ndarray',
        npy=serialized) 

# 需要導入模塊: import io [as 別名]
# 或者: from io import BytesIO [as 別名]
def deserialize_ndarray_npy(d):
    """
    Deserializes a JSONified :obj:`numpy.ndarray` that was created using numpy's
    :obj:`save` function.

    Args:
        d (:obj:`dict`): A dictionary representation of an :obj:`ndarray` object, created
            using :obj:`numpy.save`.

    Returns:
        An :obj:`ndarray` object.
    """
    with io.BytesIO() as f:
        f.write(json.loads(d['npy']).encode('latin-1'))
        f.seek(0)
        return np.load(f) 

# 需要導入模塊: import io [as 別名]
# 或者: from io import BytesIO [as 別名]
def download_image(image_id, url, x1, y1, x2, y2, output_dir):
    """Downloads one image, crops it, resizes it and saves it locally."""
    output_filename = os.path.join(output_dir, image_id + '.png')
    if os.path.exists(output_filename):
        # Don't download image if it's already there
        return True
    try:
        # Download image
        url_file = urlopen(url)
        if url_file.getcode() != 200:
            return False
        image_buffer = url_file.read()
        # Crop, resize and save image
        image = Image.open(BytesIO(image_buffer)).convert('RGB')
        w = image.size[0]
        h = image.size[1]
        image = image.crop((int(x1 * w), int(y1 * h), int(x2 * w),
                            int(y2 * h)))
        image = image.resize((299, 299), resample=Image.ANTIALIAS)
        image.save(output_filename)
    except IOError:
        return False
    return True 

# 需要導入模塊: import io [as 別名]
# 或者: from io import BytesIO [as 別名]
def logscmd(self, message):
        """.logs <level>
           Dumps logs. Loglevels below WARNING may contain personal info."""
        args = utils.get_args(message)
        if not len(args) == 1:
            await message.edit(self.strings["set_loglevel"])
            return
        try:
            lvl = int(args[0])
        except ValueError:
            # It's not an int. Maybe it's a loglevel
            lvl = getattr(logging, args[0].upper(), None)
        if lvl is None:
            await message.edit(self.strings["bad_loglevel"])
            return
        await message.edit(self.strings["uploading_logs"])
        [handler] = logging.getLogger().handlers
        logs = ("\n".join(handler.dumps(lvl))).encode("utf-8")
        if not len(logs) > 0:
            await message.edit(self.strings["no_logs"].format(lvl))
            return
        logs = BytesIO(logs)
        logs.name = self.strings["logs_filename"]
        await message.client.send_file(message.to_id, logs, caption=self.strings["logs_caption"].format(lvl))
        await message.delete() 

# 需要導入模塊: import io [as 別名]
# 或者: from io import BytesIO [as 別名]
def upload_image(self, filename=None, filedata=None, tag=None):
        token = self.auth.upload_token(self.bucket)
        if filedata is None:
            with open(filename, 'rb') as f:
                filedata = f.read()

        with BytesIO(filedata) as f:
            ext = imghdr.what(f)

        prefix = tag or "img"
        name = "%s/%02x.%s" % (prefix, self.counter.incr(), ext)

        ret, info = self.qiniu.put_data(token, name, filedata)
        if ret is None:
            return

        return self.base_url + name 

# 需要導入模塊: import io [as 別名]
# 或者: from io import BytesIO [as 別名]
def get_image(self):
        """
        Get an image from the camera.

        Returns image data as a BytesIO object.
        """
        url = "http://{}/image.jpg".format(self.host)

        encoded = base64.b64encode('admin:'.encode('utf-8')).decode('ascii')

        headers = {
            'Authorization': 'Basic ' + encoded
        }

        result = requests.get(url, headers=headers)
        if result.ok:
            return BytesIO(result.content)

        else:
            return None