(self)
return self.read(number_of_samples_per_channel=READ_ALL_AVAILABLE)
Reads all available raw samples from the task or virtual channels
        you specify.

        NI-DAQmx determines how many samples to read based on if the task
        acquires samples continuously or acquires a finite number of
        samples.

        If the task acquires samples continuously, this method reads all
        the samples currently available in the buffer.

        If the task acquires a finite number of samples, the method
        waits for the task to acquire all requested samples, then reads
        those samples. If you set the "read_all_avail_samp" property to
        TRUE, the method reads the samples currently available in the
        buffer and does not wait for the task to acquire all requested
        samples.

        Raw samples constitute the internal representation of samples in a
        device, read directly from the device or buffer without scaling or
        reordering. The native format of a device can be an 8-, 16-, or
        32-bit integer, signed or unsigned.

        NI-DAQmx does not separate raw data into channels. It returns data
        in an interleaved or non-interleaved 1D array, depending on the
        raw ordering of the device. Refer to your device documentation for
        more information.

        This method determines a NumPy array of appropriate size and data
        type to create and return based on your device specifications.

        Use the "timeout" property on the stream to specify the amount of
        time in seconds to wait for samples to become available. If the
        time elapses, the method returns an error and any samples read
        before the timeout elapsed. The default timeout is 10 seconds.
        If you set timeout to nidaqmx.WAIT_INFINITELY, the method waits
        indefinitely. If you set timeout to 0, the method tries once to
        read the requested samples and returns an error if it is unable
        to.

        Returns:
            numpy.ndarray:

            The samples requested in the form of a 1D NumPy array. This
            method determines a NumPy array of appropriate size and data
            type to create and return based on your device specifications.
Reads all available raw samples from the task or virtual channels
        you specify.
Reads all available raw samples from the task or virtual channels you specify .
def readall(self):
        """
        Reads all available raw samples from the task or virtual channels
        you specify.

        NI-DAQmx determines how many samples to read based on if the task
        acquires samples continuously or acquires a finite number of
        samples.

        If the task acquires samples continuously, this method reads all
        the samples currently available in the buffer.

        If the task acquires a finite number of samples, the method
        waits for the task to acquire all requested samples, then reads
        those samples. If you set the "read_all_avail_samp" property to
        TRUE, the method reads the samples currently available in the
        buffer and does not wait for the task to acquire all requested
        samples.

        Raw samples constitute the internal representation of samples in a
        device, read directly from the device or buffer without scaling or
        reordering. The native format of a device can be an 8-, 16-, or
        32-bit integer, signed or unsigned.

        NI-DAQmx does not separate raw data into channels. It returns data
        in an interleaved or non-interleaved 1D array, depending on the
        raw ordering of the device. Refer to your device documentation for
        more information.

        This method determines a NumPy array of appropriate size and data
        type to create and return based on your device specifications.

        Use the "timeout" property on the stream to specify the amount of
        time in seconds to wait for samples to become available. If the
        time elapses, the method returns an error and any samples read
        before the timeout elapsed. The default timeout is 10 seconds.
        If you set timeout to nidaqmx.WAIT_INFINITELY, the method waits
        indefinitely. If you set timeout to 0, the method tries once to
        read the requested samples and returns an error if it is unable
        to.

        Returns:
            numpy.ndarray:

            The samples requested in the form of a 1D NumPy array. This
            method determines a NumPy array of appropriate size and data
            type to create and return based on your device specifications.
        """
        return self.read(number_of_samples_per_channel=READ_ALL_AVAILABLE)
def readall ( self ) : return self . read ( number_of_samples_per_channel = READ_ALL_AVAILABLE )