def scan_loop(self):
rate = 100
points_per_channel = 10
low_chan = 0 # Ignored by a_in_scan when queue is enabled
high_chan = 3 # Ignored by a_in_scan when queue is enabled
num_channels = high_chan - low_chan + 1
total_count = points_per_channel * num_channels
# Ignored by a_in_scan when queue is enabled
range_ = self.ai_props.available_ranges[0]
# Allocate a buffer for the scan
if self.ai_props.resolution <= 16:
# Use the win_buf_alloc method for devices with a resolution <= 16
memhandle = ul.win_buf_alloc(total_count)
else:
# Use the win_buf_alloc_32 method for devices with a resolution >
# 16
memhandle = ul.win_buf_alloc_32(total_count)
# Check if the buffer was successfully allocated
if not memhandle:
messagebox.showerror("Error", "Failed to allocate memory")
return
try:
# Run the scan
ul.a_in_scan(self.board_num, low_chan, high_chan, total_count,
rate, range_, memhandle, 0)
# Convert the memhandle to a ctypes array
# Note: the ctypes array will only be valid until win_buf_free
# is called.
# A copy of the buffer can be created using win_buf_to_array
# or win_buf_to_array_32 before the memory is freed. The copy can
# be used at any time.
if self.ai_props.resolution <= 16:
# Use the memhandle_as_ctypes_array method for devices with a
# resolution <= 16
array = self.memhandle_as_ctypes_array(memhandle)
else:
# Use the memhandle_as_ctypes_array_32 method for devices with
# a resolution > 16
array = self.memhandle_as_ctypes_array_32(memhandle)
# Display the values
self.display_values(array, total_count)
self.after(1000, self.scan_loop)
except ULError as e:
self.show_ul_error(e)
finally:
# Free the allocated memory
ul.win_buf_free(memhandle)
def start_scan(self):
low_chan = self.get_low_channel_num()
high_chan = self.get_high_channel_num()
if low_chan > high_chan:
messagebox.showerror(
"Error",
"Low Channel Number must be greater than or equal to High "
"Channel Number")
self.start_button["state"] = tk.NORMAL
return
rate = 100
points_per_channel = 10
num_channels = high_chan - low_chan + 1
total_count = points_per_channel * num_channels
range_ = self.ai_props.available_ranges[0]
# Allocate a buffer for the scan
memhandle = ul.scaled_win_buf_alloc(total_count)
# Check if the buffer was successfully allocated
if not memhandle:
messagebox.showerror("Error", "Failed to allocate memory")
self.start_button["state"] = tk.NORMAL
return
# Convert the memhandle to a ctypes array
# Note: the ctypes array will only be valid until win_buf_free
# is called.
# A copy of the buffer can be created using scaled_win_buf_to_array
# before the memory is freed. The copy can be used at any time.
array = self.memhandle_as_ctypes_array_scaled(memhandle)
try:
# Run the scan
ul.a_in_scan(self.board_num, low_chan, high_chan, total_count,
rate, range_, memhandle, ScanOptions.SCALEDATA)
# Display the values
self.display_values(array, total_count, low_chan, high_chan)
except ULError as e:
self.show_ul_error(e)
finally:
# Free the allocated memory
ul.win_buf_free(memhandle)
self.start_button["state"] = tk.NORMAL
def start_scan(self):
low_chan = self.get_low_channel_num()
high_chan = self.get_high_channel_num()
if low_chan > high_chan:
messagebox.showerror(
"Error",
"Low Channel Number must be greater than or equal to High "
"Channel Number")
self.start_button["state"] = tk.NORMAL
return
rate = 100
points_per_channel = 10
num_channels = high_chan - low_chan + 1
total_count = points_per_channel * num_channels
ai_range = self.ai_info.supported_ranges[0]
# Allocate a buffer for the scan
if self.ai_info.resolution <= 16:
# Use the win_buf_alloc method for devices with a resolution
# <= 16
memhandle = ul.win_buf_alloc(total_count)
else:
# Use the win_buf_alloc_32 method for devices with a resolution
# > 16
memhandle = ul.win_buf_alloc_32(total_count)
# Check if the buffer was successfully allocated
if not memhandle:
messagebox.showerror("Error", "Failed to allocate memory")
self.start_button["state"] = tk.NORMAL
return
try:
# Run the scan
ul.a_in_scan(self.board_num, low_chan, high_chan, total_count,
rate, ai_range, memhandle, 0)
# Cast the memhandle to a ctypes pointer
# Note: the ctypes array will only be valid until win_buf_free
# is called.
# A copy of the buffer can be created using win_buf_to_array
# or win_buf_to_array_32 before the memory is freed. The copy
# can be used at any time.
if self.ai_info.resolution <= 16:
# Use the memhandle_as_ctypes_array method for devices with
# a resolution <= 16
array = cast(memhandle, POINTER(c_ushort))
else:
# Use the memhandle_as_ctypes_array_32 method for devices
# with a resolution > 16
array = cast(memhandle, POINTER(c_ulong))
# Display the values
self.display_values(array, ai_range, total_count, low_chan,
high_chan)
except ULError as e:
show_ul_error(e)
finally:
# Free the allocated memory
ul.win_buf_free(memhandle)
self.start_button["state"] = tk.NORMAL
def start_input_scan(self):
self.input_low_chan = self.get_input_low_channel_num()
self.input_high_chan = self.get_input_high_channel_num()
self.num_input_chans = (self.input_high_chan - self.input_low_chan + 1)
self.periodtime = int(
self.periodbox.get()) # variable of the duration in sec
self.periodtimevar = self.periodtime # a placeholder of periodtime which can be changed
if self.input_low_chan > self.input_high_chan:
messagebox.showerror(
"Error",
"Low Channel Number must be greater than or equal to High "
"Channel Number")
self.set_input_ui_idle_state()
return
rate = int(
self.input_Samplingrate.get()) # data sampling rate per second
# self.samplingrate = rate
points_per_channel = self.test_time()
total_count = points_per_channel * self.num_input_chans
range_ = self.ai_props.available_ranges[0]
scan_options = ScanOptions.BACKGROUND | ScanOptions.CONTINUOUS
# Allocate a buffer for the scan
if self.ai_props.resolution <= 16:
# Use the win_buf_alloc method for devices with a resolution <=
# 16
self.input_memhandle = ul.win_buf_alloc(total_count)
else:
# Use the win_buf_alloc_32 method for devices with a resolution
# > 16
self.input_memhandle = ul.win_buf_alloc_32(total_count)
if not self.input_memhandle:
messagebox.showerror("Error", "Failed to allocate memory")
self.set_input_ui_idle_state()
return
# Create the frames that will hold the data
self.recreate_input_data_frame()
try:
# Run the scan
ul.a_in_scan(self.board_num, self.input_low_chan,
self.input_high_chan, total_count, rate, range_,
self.input_memhandle, scan_options)
except ULError as e:
self.show_ul_error(e)
self.set_input_ui_idle_state()
return
# Convert the input_memhandle to a ctypes array
# Note: the ctypes array will no longer be valid after win_buf_free is called.
# A copy of the buffer can be created using win_buf_to_array
# or win_buf_to_array_32 before the memory is freed. The copy can
# be used at any time.
if self.ai_props.resolution <= 16:
# self.copied_array = ul.win_buf_to_array(self.iput_memhandle)
# Use the memhandle_as_ctypes_array method for devices with a
# resolution <= 16
self.ctypes_array = self.memhandle_as_ctypes_array(
self.input_memhandle)
else:
# Use the memhandle_as_ctypes_array_32 method for devices with a
# resolution > 16
self.ctypes_array = self.memhandle_as_ctypes_array_32(
self.input_memhandle)
# Start updating the displayed values
self.update_input_displayed_values(range_)
# Start the arena output
self.tempo = 2.2
self.update_arena_output()
def start_scan(self):
# Set filename
self.file_name = window.rec_settings.FolderLabel.text() + '/' + window.rec_settings.NamePrefixLabel.text() + \
datetime.datetime.now().strftime("_%Y_%m_%d_%H%M%S") + \
'.wav'
try:
# Start the scan
ul.a_in_scan(
self.board_num, self.low_chan, self.high_chan, self.ul_buffer_count,
self.rate, self.ai_range, self.memhandle, self.scan_options)
self.status = Status.IDLE
# Wait for the scan to start fully
while(self.status == Status.IDLE):
self.status, _, _ = ul.get_status(
self.board_num, FunctionType.AIFUNCTION)
# Create a file for storing the data
# PYSOUNDFILE MODULE
temp_file = SoundFile(self.file_name, 'w+', self.rate, 1, 'PCM_16')
# with SoundFile(self.file_name, 'w', self.rate, 1, 'PCM_16') as f:
# print('abro', self.file_name)
# WAVE MODULE
# with wave.open('wavemod' + self.file_name, 'w') as f:
# f.setnchannels(1)
# f.setsampwidth(2)
# f.setframerate(self.rate)
# Start the write loop
prev_count = 0
prev_index = 0
write_ch_num = self.low_chan
while self.status != Status.IDLE:
# Get the latest counts
self.status, curr_count, _ = ul.get_status(
self.board_num, FunctionType.AIFUNCTION)
new_data_count = curr_count - prev_count
# Check for a buffer overrun before copying the data, so
# that no attempts are made to copy more than a full buffer
# of data
if new_data_count > self.ul_buffer_count:
# Print an error and stop writing
# QtGui.QMessageBox.information(self, "Error", "A buffer overrun occurred")
ul.stop_background(self.board_num, FunctionType.AIFUNCTION)
print("A buffer overrun occurred") # cambiar por critical message
break # VER COMO REEMPLAZAR
# Check if a chunk is available
if new_data_count > self.write_chunk_size:
self.wrote_chunk = True
# Copy the current data to a new array
# Check if the data wraps around the end of the UL
# buffer. Multiple copy operations will be required.
if prev_index + self.write_chunk_size > self.ul_buffer_count - 1:
first_chunk_size = self.ul_buffer_count - prev_index
second_chunk_size = (
self.write_chunk_size - first_chunk_size)
# Copy the first chunk of data to the write_chunk_array
ul.win_buf_to_array(
self.memhandle, self.write_chunk_array, prev_index,
first_chunk_size)
# Create a pointer to the location in
# write_chunk_array where we want to copy the
# remaining data
second_chunk_pointer = cast(
addressof(self.write_chunk_array) + first_chunk_size
* sizeof(c_ushort), POINTER(c_ushort))
# Copy the second chunk of data to the
# write_chunk_array
ul.win_buf_to_array(
self.memhandle, second_chunk_pointer,
0, second_chunk_size)
else:
# Copy the data to the write_chunk_array
ul.win_buf_to_array(
self.memhandle, self.write_chunk_array, prev_index,
self.write_chunk_size)
# Check for a buffer overrun just after copying the data
# from the UL buffer. This will ensure that the data was
# not overwritten in the UL buffer before the copy was
# completed. This should be done before writing to the
# file, so that corrupt data does not end up in it.
self.status, curr_count, _ = ul.get_status(
self.board_num, FunctionType.AIFUNCTION)
# Opcion 1: original ( valores altos )
if curr_count - prev_count > self.ul_buffer_count:
# Print an error and stop writing
ul.stop_background(self.board_num, FunctionType.AIFUNCTION)
print("BUFFER OVERRUN")
QtGui.QMessageBox.critical(self, "Warning", "A buffer overrun occurred")
break
# VER COMO HACER PARA EVITAR QUE CIERRE EL PROGRAMA:
for i in range(self.write_chunk_size):
# opcion 1
self.chunk_ls.append(self.write_chunk_array[i]-32768)
# opcion 4
self.chunk_np = np.asarray(self.chunk_ls, dtype=np.int16)
# resampled_chunk = samplerate.resample(self.chunk_np, 44100. /
# float(self.rate), 'sinc_best')
# resampled_chunk = resampy.resample(self.chunk_np, self.rate, 44100)
temp_file.write(self.chunk_np)
# self.chunk_signal.emit(self.chunk_ls)
# self.file_ls.extend(self.chunk_ls)
self.chunk_ls = []
else:
self.wrote_chunk = False
if self.wrote_chunk:
self.chunk_signal.emit(self.chunk_np)
# Increment prev_count by the chunk size
prev_count += self.write_chunk_size
# Increment prev_index by the chunk size
prev_index += self.write_chunk_size
# Wrap prev_index to the size of the UL buffer
prev_index %= self.ul_buffer_count
if prev_count % self.points_to_write == 0:
# self.file_signal.emit(self.file_np)
# self.write_wav_file(self.file_ls
temp_file.close()
self.file_name = window.rec_settings.FolderLabel.text() + '/' + window.rec_settings.NamePrefixLabel.text() + \
datetime.datetime.now().strftime("_%Y_%m_%d_%H%M%S") + \
'.wav'
temp_file = SoundFile(self.file_name, 'w', self.rate, 1, 'PCM_16')
else:
# Wait a short amount of time for more data to be
# acquired.
time.sleep(0.1)
except ULError as e:
print('except')
# QtGui.QMessageBox.critical(window, 'Error', 'Please restart program')
self.print_ul_error(e) # VER FUNCION Y ADAPATAR A PYQT
finally:
# Free the buffer in a finally block to prevent errors from causing
# a memory leak.
temp_file.close()
ul.stop_background(self.board_num, FunctionType.AIFUNCTION)
ul.win_buf_free(self.memhandle)
self.finished_signal.emit()
def run_example():
board_num = 0
rate = 100
points_per_channel = 1000
if use_device_detection:
ul.ignore_instacal()
if not util.config_first_detected_device(board_num):
print("Could not find device.")
return
ai_props = AnalogInputProps(board_num)
if ai_props.num_ai_chans < 1:
util.print_unsupported_example(board_num)
return
low_chan = 0
high_chan = min(3, ai_props.num_ai_chans - 1)
num_chans = high_chan - low_chan + 1
total_count = points_per_channel * num_chans
ai_range = ai_props.available_ranges[0]
scan_options = ScanOptions.BACKGROUND
if ScanOptions.SCALEDATA in ai_props.supported_scan_options:
# If the hardware supports the SCALEDATA option, it is easiest to
# use it.
scan_options |= ScanOptions.SCALEDATA
memhandle = ul.scaled_win_buf_alloc(total_count)
# Convert the memhandle to a ctypes array.
# Use the memhandle_as_ctypes_array_scaled method for scaled
# buffers.
ctypes_array = util.memhandle_as_ctypes_array_scaled(memhandle)
elif ai_props.resolution <= 16:
# Use the win_buf_alloc method for devices with a resolution <= 16
memhandle = ul.win_buf_alloc(total_count)
# Convert the memhandle to a ctypes array.
# Use the memhandle_as_ctypes_array method for devices with a
# resolution <= 16.
ctypes_array = util.memhandle_as_ctypes_array(memhandle)
else:
# Use the win_buf_alloc_32 method for devices with a resolution > 16
memhandle = ul.win_buf_alloc_32(total_count)
# Convert the memhandle to a ctypes array.
# Use the memhandle_as_ctypes_array_32 method for devices with a
# resolution > 16
ctypes_array = util.memhandle_as_ctypes_array_32(memhandle)
# Note: the ctypes array will no longer be valid after win_buf_free is
# called.
# A copy of the buffer can be created using win_buf_to_array or
# win_buf_to_array_32 before the memory is freed. The copy can be used
# at any time.
# Check if the buffer was successfully allocated
if not memhandle:
print("Failed to allocate memory.")
return
try:
# Start the scan
ul.a_in_scan(board_num, low_chan, high_chan, total_count, rate,
ai_range, memhandle, scan_options)
# Create a format string that aligns the data in columns
row_format = "{:>12}" * num_chans
# Print the channel name headers
labels = []
for ch_num in range(low_chan, high_chan + 1):
labels.append("CH" + str(ch_num))
print(row_format.format(*labels))
# Start updating the displayed values
status, curr_count, curr_index = ul.get_status(board_num,
FunctionType.AIFUNCTION)
while status != Status.IDLE:
# Make sure a data point is available for display.
if curr_count > 0:
# curr_index points to the start of the last completed
# channel scan that was transferred between the board and
# the data buffer. Display the latest value for each
# channel.
display_data = []
for data_index in range(curr_index, curr_index + num_chans):
if ScanOptions.SCALEDATA in scan_options:
# If the SCALEDATA ScanOption was used, the values
# in the array are already in engineering units.
eng_value = ctypes_array[data_index]
else:
# If the SCALEDATA ScanOption was NOT used, the
# values in the array must be converted to
# engineering units using ul.to_eng_units().
eng_value = ul.to_eng_units(board_num, ai_range,
ctypes_array[data_index])
display_data.append('{:.3f}'.format(eng_value))
print(row_format.format(*display_data))
# Wait a while before adding more values to the display.
time.sleep(0.5)
status, curr_count, curr_index = ul.get_status(
board_num, FunctionType.AIFUNCTION)
# Stop the background operation (this is required even if the
# scan completes successfully)
ul.stop_background(board_num, FunctionType.AIFUNCTION)
print("Scan completed successfully.")
except ULError as e:
util.print_ul_error(e)
finally:
# Free the buffer in a finally block to prevent errors from causing
# a memory leak.
ul.win_buf_free(memhandle)
if use_device_detection:
ul.release_daq_device(board_num)
def run_example():
# By default, the example detects and displays all available devices and
# selects the first device listed. Use the dev_id_list variable to filter
# detected devices by device ID (see UL documentation for device IDs).
# If use_device_detection is set to False, the board_num variable needs to
# match the desired board number configured with Instacal.
use_device_detection = True
# Supported Device IDs for the USB-2408 and USB-2416 Series
# USB-2408 = 253, USB-2408-2AO = 254, USB-2416 = 208, USB-2416-4AO = 209
dev_id_list = [253, 254, 208, 209]
board_num = 0
low_chan = 0
high_chan = 3
num_chans = high_chan - low_chan + 1
memhandle = None
try:
if use_device_detection:
config_first_detected_device(board_num, dev_id_list)
daq_dev_info = DaqDeviceInfo(board_num)
print('\nActive DAQ device: ',
daq_dev_info.product_name,
' (',
daq_dev_info.unique_id,
')\n',
sep='')
rate = 10
points_per_channel = 10
total_count = points_per_channel * num_chans
scan_options = ScanOptions.FOREGROUND | ScanOptions.SCALEDATA
memhandle = ul.scaled_win_buf_alloc(total_count)
# Convert the memhandle to a ctypes array.
# Use the memhandle_as_ctypes_array_scaled method for scaled buffers.
ctypes_array = cast(memhandle, POINTER(c_double))
# Note: the ctypes array will no longer be valid after win_buf_free is
# called.
# A copy of the buffer can be created using win_buf_to_array or
# win_buf_to_array_32 before the memory is freed. The copy can be used
# at any time.
# Check if the buffer was successfully allocated
if not memhandle:
raise Exception('Error: Failed to allocate memory')
# Set channel settings
set_channel_settings(board_num)
# Start the scan
ul.a_in_scan(board_num, low_chan, high_chan, total_count, rate,
ULRange.BIP10VOLTS, memhandle, scan_options)
print('Scan completed successfully. Data:')
# Create a format string that aligns the data in columns
row_format = '{:>5}' + '{:>10}' * num_chans
# Print the channel name headers
labels = ['Index']
for ch_num in range(low_chan, high_chan + 1):
labels.append('CH' + str(ch_num))
print(row_format.format(*labels))
# Print the data
for index in range(points_per_channel):
display_data = [index]
for data_index in range(num_chans):
display_data.append('{:.3f}'.format(ctypes_array[data_index]))
# Print this row
print(row_format.format(*display_data))
except Exception as e:
print('\n', e)
finally:
# Free the buffer in a finally block to prevent a memory leak.
if memhandle:
ul.win_buf_free(memhandle)
if use_device_detection:
ul.release_daq_device(board_num)
def apply_and_listen(waveform_1d,
nzeros_front,
nzeros_back,
in_channel_start=0,
in_channel_end=0,
out_channel_start=0,
out_channel_end=0,
rate=1000000,
board_number=0,
ul_range=ULRange.BIP10VOLTS,
quiet=False,
**kwargs):
"""
Apply a waveform and listen to collect data. Simultaneous output and collection of data.
args:
waveform_1d (numpy.array): Serialized waveform
nzeros_front (int): Number of zeros padding front of waveform
nzeros_back (int): Number of zeros padding back of waveform
in_channel_start (int= 0): Specify which start channel to use when listening and collecting incoming waveform.
in_channel_end (int= 0): Specify which end channel to use when listening and collecting incoming waveform.
out_channel_start (int= 0): Specify which start channel to use when outputting the waveform.
out_channel_end (int = 0): Specify which end channel to use when outputting waveform.
rate (int = 1000000): Rate for daq
board_number (int = 0):
ul_range (ULRange): Range for daq
quiet (bool): Specify verbosity
returns:
(memhandle_in, memhandle_out, data_array_in, data_array_out, count_in, time)
waveform_1d should be serialized into 1d for all channels
output comes on channels continuous from out_channel_start to out_channel_end
return: memhandle_in, memhandle_out, data_array_in, data_array_out, count_in
"""
count_out = len(waveform_1d)
nchannel_out = out_channel_end - out_channel_start + 1
nchannel_in = in_channel_end - in_channel_start + 1
rate = int(rate / nchannel_in)
len_data_without_zeros = (len(waveform_1d) - nzeros_front - nzeros_back)
period_of_wf = (int(len_data_without_zeros / nchannel_out) / rate)
if not quiet:
print('period:', period_of_wf * 1e6, 'us')
trigger_rate = int((count_out - nzeros_front - nzeros_back) / nchannel_out)
# Allocate the buffer and cast it to an unsigned short
memhandle_out = ul.win_buf_alloc(count_out)
data_array_out = ctypes.cast(memhandle_out, ctypes.POINTER(
ctypes.c_ushort)) #data_array now points to the correct memory
# Calculate and store the waveform in Windows buffer
for i, y in enumerate(waveform_1d):
data_array_out[i] = int(y)
count_in = int(nchannel_in * count_out / (nchannel_out))
memhandle_in = ul.win_buf_alloc(count_in)
data_array_in = ctypes.cast(memhandle_in, ctypes.POINTER(ctypes.c_ushort))
options = (None, )
# Output the waveform
#import pdb; pdb.set_trace()
ul.a_in_scan(board_number, in_channel_start, in_channel_end, count_in,
rate, ul_range, memhandle_in,
ScanOptions.EXTTRIGGER | ScanOptions.BACKGROUND)
ul.a_out_scan(board_number, out_channel_start, out_channel_end, count_out,
rate, ul_range, memhandle_out,
ScanOptions.EXTTRIGGER | ScanOptions.BACKGROUND)
ul.pulse_out_start(0, 0, rate, 0.5)
while ul.get_status(
0, FunctionType.AOFUNCTION).status != 0: #poor mans foreground
continue
ul.pulse_out_stop(0, 0)
ul.stop_background(0, FunctionType.AOFUNCTION)
ul.stop_background(0, FunctionType.AIFUNCTION)
timestep = period_of_wf / len_data_without_zeros
time = []
for i in range(int(count_out / nchannel_out)):
shiftedi = i - nzeros_front
time.append(shiftedi * timestep)
time = np.array(time)
return memhandle_in, memhandle_out, data_array_in, data_array_out, count_in, time
def run_example():
board_num = 0
rate = 100
file_name = 'scan_data.csv'
# The size of the UL buffer to create, in seconds
buffer_size_seconds = 2
# The number of buffers to write. After this number of UL buffers are
# written to file, the example will be stopped.
num_buffers_to_write = 5
if use_device_detection:
ul.ignore_instacal()
if not util.config_first_detected_device(board_num):
print("Could not find device.")
return
ai_props = AnalogInputProps(board_num)
if (ai_props.num_ai_chans < 1 or
not ScanOptions.SCALEDATA in ai_props.supported_scan_options):
util.print_unsupported_example(board_num)
return
low_chan = 0
high_chan = min(3, ai_props.num_ai_chans - 1)
num_chans = high_chan - low_chan + 1
# Create a circular buffer that can hold buffer_size_seconds worth of
# data, or at least 10 points (this may need to be adjusted to prevent
# a buffer overrun)
points_per_channel = max(rate * buffer_size_seconds, 10)
# Some hardware requires that the total_count is an integer multiple
# of the packet size. For this case, calculate a points_per_channel
# that is equal to or just above the points_per_channel selected
# which matches that requirement.
if ai_props.continuous_requires_packet_size_multiple:
packet_size = ai_props.packet_size
remainder = points_per_channel % packet_size
if remainder != 0:
points_per_channel += packet_size - remainder
ul_buffer_count = points_per_channel * num_chans
# Write the UL buffer to the file num_buffers_to_write times.
points_to_write = ul_buffer_count * num_buffers_to_write
# When handling the buffer, we will read 1/10 of the buffer at a time
write_chunk_size = int(ul_buffer_count / 10)
ai_range = ai_props.available_ranges[0]
scan_options = (ScanOptions.BACKGROUND | ScanOptions.CONTINUOUS |
ScanOptions.SCALEDATA)
memhandle = ul.scaled_win_buf_alloc(ul_buffer_count)
# Allocate an array of doubles temporary storage of the data
write_chunk_array = (c_double * write_chunk_size)()
# Check if the buffer was successfully allocated
if not memhandle:
print("Failed to allocate memory.")
return
try:
# Start the scan
ul.a_in_scan(
board_num, low_chan, high_chan, ul_buffer_count,
rate, ai_range, memhandle, scan_options)
status = Status.IDLE
# Wait for the scan to start fully
while(status == Status.IDLE):
status, _, _ = ul.get_status(
board_num, FunctionType.AIFUNCTION)
# Create a file for storing the data
with open(file_name, 'w') as f:
print('Writing data to ' + file_name, end='')
# Write a header to the file
for chan_num in range(low_chan, high_chan + 1):
f.write('Channel ' + str(chan_num) + ',')
f.write(u'\n')
# Start the write loop
prev_count = 0
prev_index = 0
write_ch_num = low_chan
while status != Status.IDLE:
# Get the latest counts
status, curr_count, _ = ul.get_status(
board_num, FunctionType.AIFUNCTION)
new_data_count = curr_count - prev_count
# Check for a buffer overrun before copying the data, so
# that no attempts are made to copy more than a full buffer
# of data
if new_data_count > ul_buffer_count:
# Print an error and stop writing
ul.stop_background(board_num, FunctionType.AIFUNCTION)
print("A buffer overrun occurred")
break
# Check if a chunk is available
if new_data_count > write_chunk_size:
wrote_chunk = True
# Copy the current data to a new array
# Check if the data wraps around the end of the UL
# buffer. Multiple copy operations will be required.
if prev_index + write_chunk_size > ul_buffer_count - 1:
first_chunk_size = ul_buffer_count - prev_index
second_chunk_size = (
write_chunk_size - first_chunk_size)
# Copy the first chunk of data to the
# write_chunk_array
ul.scaled_win_buf_to_array(
memhandle, write_chunk_array, prev_index,
first_chunk_size)
# Create a pointer to the location in
# write_chunk_array where we want to copy the
# remaining data
second_chunk_pointer = cast(
addressof(write_chunk_array) + first_chunk_size
* sizeof(c_double), POINTER(c_double))
# Copy the second chunk of data to the
# write_chunk_array
ul.scaled_win_buf_to_array(
memhandle, second_chunk_pointer,
0, second_chunk_size)
else:
# Copy the data to the write_chunk_array
ul.scaled_win_buf_to_array(
memhandle, write_chunk_array, prev_index,
write_chunk_size)
# Check for a buffer overrun just after copying the data
# from the UL buffer. This will ensure that the data was
# not overwritten in the UL buffer before the copy was
# completed. This should be done before writing to the
# file, so that corrupt data does not end up in it.
status, curr_count, _ = ul.get_status(
board_num, FunctionType.AIFUNCTION)
if curr_count - prev_count > ul_buffer_count:
# Print an error and stop writing
ul.stop_background(board_num, FunctionType.AIFUNCTION)
print("A buffer overrun occurred")
break
for i in range(write_chunk_size):
f.write(str(write_chunk_array[i]) + ',')
write_ch_num += 1
if write_ch_num == high_chan + 1:
write_ch_num = low_chan
f.write(u'\n')
else:
wrote_chunk = False
if wrote_chunk:
# Increment prev_count by the chunk size
prev_count += write_chunk_size
# Increment prev_index by the chunk size
prev_index += write_chunk_size
# Wrap prev_index to the size of the UL buffer
prev_index %= ul_buffer_count
if prev_count >= points_to_write:
break
print('.', end='')
else:
# Wait a short amount of time for more data to be
# acquired.
time.sleep(0.1)
ul.stop_background(board_num, FunctionType.AIFUNCTION)
except ULError as e:
util.print_ul_error(e)
finally:
print('Done')
# Free the buffer in a finally block to prevent errors from causing
# a memory leak.
ul.win_buf_free(memhandle)
if use_device_detection:
ul.release_daq_device(board_num)
def read(self, processPulseTrain=False):
if self.useExtClock:
# scan_options = ScanOptions.FOREGROUND | ScanOptions.SCALEDATA | ScanOptions.EXTCLOCK
scan_options = ScanOptions.FOREGROUND | ScanOptions.SCALEDATA | ScanOptions.EXTTRIGGER # | ScanOptions.RETRIGMODE
else:
scan_options = ScanOptions.FOREGROUND | ScanOptions.SCALEDATA
ul.set_config(
info_type=InfoType.BOARDINFO,
board_num=self.board_num,
dev_num=0, #value here is ignored
config_item=BoardInfo.ADTRIGCOUNT,
config_val=
0 #number of samples to take per trigger. 0 = continuous triggering
)
channelList = []
channelNumbers = []
low_chan = min(self.channels['Number'])
high_chan = max(self.channels['Number'])
for cnum in range(low_chan, high_chan + 1):
if cnum in self.channels['Number']:
cidx = self.channels['Number'].index(cnum)
cname = self.channels['Label'][cidx]
else:
cname = 'Dummy'
channelList.append(cname)
num_chans = len(channelList)
totalCount = num_chans * self.__countsPerChannel
memhandle = ul.scaled_win_buf_alloc(totalCount)
ctypesArray = ctypes.cast(memhandle, ctypes.POINTER(ctypes.c_double))
ul.a_in_scan(board_num=self.board_num,
low_chan=low_chan,
high_chan=high_chan,
num_points=totalCount,
rate=self.__rate,
ul_range=ULRange.BIP5VOLTS,
memhandle=memhandle,
options=scan_options)
data = {}
for ch in channelList:
data[ch] = {'Raw': [], 'Mean': None, 'Std': None}
dataIndex = 0
for each in range(self.__countsPerChannel):
for ch in channelList:
data[ch]['Raw'].append(ctypesArray[dataIndex])
dataIndex += 1
data.pop('Dummy') #toss dummy data from middle channels
for ch in data.keys():
data[ch]['Mean'] = np.mean(data[ch]['Raw'])
data[ch]['Std'] = np.std(data[ch]['Raw'])
# data['Reference']['Mean'] = np.ones(data['Reference']['Mean'].shape) #set reference detector readings to 1
ul.win_buf_free(memhandle)
if self.useFilter:
data = self.filterSignal(data)
if processPulseTrain:
data = self.processPulseTrain(data)
return data
def run_example():
# By default, the example detects and displays all available devices and
# selects the first device listed. Use the dev_id_list variable to filter
# detected devices by device ID (see UL documentation for device IDs).
# If use_device_detection is set to False, the board_num variable needs to
# match the desired board number configured with Instacal.
use_device_detection = True
dev_id_list = []
board_num = 0
rate = 100
file_name = 'scan_data.csv'
memhandle = None
# The size of the UL buffer to create, in seconds
buffer_size_seconds = 2
# The number of buffers to write. After this number of UL buffers are
# written to file, the example will be stopped.
num_buffers_to_write = 5
try:
if use_device_detection:
config_first_detected_device(board_num, dev_id_list)
daq_dev_info = DaqDeviceInfo(board_num)
if not daq_dev_info.supports_analog_input:
raise Exception('Error: The DAQ device does not support '
'analog input')
print('\nActive DAQ device: ', daq_dev_info.product_name, ' (',
daq_dev_info.unique_id, ')\n', sep='')
ai_info = daq_dev_info.get_ai_info()
low_chan = 0
high_chan = min(3, ai_info.num_chans - 1)
num_chans = high_chan - low_chan + 1
# Create a circular buffer that can hold buffer_size_seconds worth of
# data, or at least 10 points (this may need to be adjusted to prevent
# a buffer overrun)
points_per_channel = max(rate * buffer_size_seconds, 10)
# Some hardware requires that the total_count is an integer multiple
# of the packet size. For this case, calculate a points_per_channel
# that is equal to or just above the points_per_channel selected
# which matches that requirement.
if ai_info.packet_size != 1:
packet_size = ai_info.packet_size
remainder = points_per_channel % packet_size
if remainder != 0:
points_per_channel += packet_size - remainder
ul_buffer_count = points_per_channel * num_chans
# Write the UL buffer to the file num_buffers_to_write times.
points_to_write = ul_buffer_count * num_buffers_to_write
# When handling the buffer, we will read 1/10 of the buffer at a time
write_chunk_size = int(ul_buffer_count / 10)
ai_range = ai_info.supported_ranges[0]
scan_options = (ScanOptions.BACKGROUND | ScanOptions.CONTINUOUS |
ScanOptions.SCALEDATA)
memhandle = ul.scaled_win_buf_alloc(ul_buffer_count)
# Allocate an array of doubles temporary storage of the data
write_chunk_array = (c_double * write_chunk_size)()
# Check if the buffer was successfully allocated
if not memhandle:
raise Exception('Failed to allocate memory')
# Start the scan
ul.a_in_scan(
board_num, low_chan, high_chan, ul_buffer_count,
rate, ai_range, memhandle, scan_options)
status = Status.IDLE
# Wait for the scan to start fully
while status == Status.IDLE:
status, _, _ = ul.get_status(board_num, FunctionType.AIFUNCTION)
# Create a file for storing the data
with open(file_name, 'w') as f:
print('Writing data to ' + file_name, end='')
# Write a header to the file
for chan_num in range(low_chan, high_chan + 1):
f.write('Channel ' + str(chan_num) + ',')
f.write(u'\n')
# Start the write loop
prev_count = 0
prev_index = 0
write_ch_num = low_chan
while status != Status.IDLE:
# Get the latest counts
status, curr_count, _ = ul.get_status(board_num,
FunctionType.AIFUNCTION)
new_data_count = curr_count - prev_count
# Check for a buffer overrun before copying the data, so
# that no attempts are made to copy more than a full buffer
# of data
if new_data_count > ul_buffer_count:
# Print an error and stop writing
ul.stop_background(board_num, FunctionType.AIFUNCTION)
print('A buffer overrun occurred')
break
# Check if a chunk is available
if new_data_count > write_chunk_size:
wrote_chunk = True
# Copy the current data to a new array
# Check if the data wraps around the end of the UL
# buffer. Multiple copy operations will be required.
if prev_index + write_chunk_size > ul_buffer_count - 1:
first_chunk_size = ul_buffer_count - prev_index
second_chunk_size = (
write_chunk_size - first_chunk_size)
# Copy the first chunk of data to the
# write_chunk_array
ul.scaled_win_buf_to_array(
memhandle, write_chunk_array, prev_index,
first_chunk_size)
# Create a pointer to the location in
# write_chunk_array where we want to copy the
# remaining data
second_chunk_pointer = cast(addressof(write_chunk_array)
+ first_chunk_size
* sizeof(c_double),
POINTER(c_double))
# Copy the second chunk of data to the
# write_chunk_array
ul.scaled_win_buf_to_array(
memhandle, second_chunk_pointer,
0, second_chunk_size)
else:
# Copy the data to the write_chunk_array
ul.scaled_win_buf_to_array(
memhandle, write_chunk_array, prev_index,
write_chunk_size)
# Check for a buffer overrun just after copying the data
# from the UL buffer. This will ensure that the data was
# not overwritten in the UL buffer before the copy was
# completed. This should be done before writing to the
# file, so that corrupt data does not end up in it.
status, curr_count, _ = ul.get_status(
board_num, FunctionType.AIFUNCTION)
if curr_count - prev_count > ul_buffer_count:
# Print an error and stop writing
ul.stop_background(board_num, FunctionType.AIFUNCTION)
print('A buffer overrun occurred')
break
for i in range(write_chunk_size):
f.write(str(write_chunk_array[i]) + ',')
write_ch_num += 1
if write_ch_num == high_chan + 1:
write_ch_num = low_chan
f.write(u'\n')
else:
wrote_chunk = False
if wrote_chunk:
# Increment prev_count by the chunk size
prev_count += write_chunk_size
# Increment prev_index by the chunk size
prev_index += write_chunk_size
# Wrap prev_index to the size of the UL buffer
prev_index %= ul_buffer_count
if prev_count >= points_to_write:
break
print('.', end='')
else:
# Wait a short amount of time for more data to be
# acquired.
sleep(0.1)
ul.stop_background(board_num, FunctionType.AIFUNCTION)
except Exception as e:
print('\n', e)
finally:
print('Done')
if memhandle:
# Free the buffer in a finally block to prevent a memory leak.
ul.win_buf_free(memhandle)
if use_device_detection:
ul.release_daq_device(board_num)
def run_example():
board_num = 0
low_chan = 0
high_chan = 3
num_chans = high_chan - low_chan + 1
if use_device_detection:
ul.ignore_instacal()
if not util.config_first_detected_device_of_type(
board_num, supported_pids):
print("Could not find a supported device.")
return
rate = 10
points_per_channel = 10
total_count = points_per_channel * num_chans
scan_options = ScanOptions.FOREGROUND | ScanOptions.SCALEDATA
memhandle = ul.scaled_win_buf_alloc(total_count)
# Convert the memhandle to a ctypes array.
# Use the memhandle_as_ctypes_array_scaled method for scaled
# buffers.
ctypes_array = util.memhandle_as_ctypes_array_scaled(memhandle)
# Note: the ctypes array will no longer be valid after win_buf_free is
# called.
# A copy of the buffer can be created using win_buf_to_array or
# win_buf_to_array_32 before the memory is freed. The copy can be used
# at any time.
# Check if the buffer was successfully allocated
if not memhandle:
print("Failed to allocate memory.")
return
try:
# Set channel settings
set_channel_settings(board_num)
# Start the scan
ul.a_in_scan(
board_num, low_chan, high_chan, total_count,
rate, ULRange.BIP10VOLTS, memhandle, scan_options)
print("Scan completed successfully. Data:")
# Create a format string that aligns the data in columns
row_format = "{:>5}" + "{:>10}" * num_chans
# Print the channel name headers
labels = []
labels.append("Index")
for ch_num in range(low_chan, high_chan + 1):
labels.append("CH" + str(ch_num))
print(row_format.format(*labels))
# Print the data
data_index = 0
for index in range(points_per_channel):
display_data = [index]
for _ in range(num_chans):
display_data.append(
'{:.3f}'.format(ctypes_array[data_index]))
data_index += 1
# Print this row
print(row_format.format(*display_data))
except ULError as e:
util.print_ul_error(e)
finally:
# Free the buffer in a finally block to prevent errors from causing
# a memory leak.
ul.win_buf_free(memhandle)
if use_device_detection:
ul.release_daq_device(board_num)
def run_example():
# By default, the example detects and displays all available devices and
# selects the first device listed. Use the dev_id_list variable to filter
# detected devices by device ID (see UL documentation for device IDs).
# If use_device_detection is set to False, the board_num variable needs to
# match the desired board number configured with Instacal.
use_device_detection = True
dev_id_list = []
board_num = 0
rate = 100
points_per_channel = 10
memhandle = None
try:
if use_device_detection:
config_first_detected_device(board_num, dev_id_list)
daq_dev_info = DaqDeviceInfo(board_num)
if not daq_dev_info.supports_analog_input:
raise Exception('Error: The DAQ device does not support '
'analog input')
print('\nActive DAQ device: ',
daq_dev_info.product_name,
' (',
daq_dev_info.unique_id,
')\n',
sep='')
ai_info = daq_dev_info.get_ai_info()
low_chan = 0
high_chan = min(3, ai_info.num_chans - 1)
num_chans = high_chan - low_chan + 1
total_count = points_per_channel * num_chans
ai_range = ai_info.supported_ranges[0]
scan_options = ScanOptions.FOREGROUND
if ScanOptions.SCALEDATA in ai_info.supported_scan_options:
# If the hardware supports the SCALEDATA option, it is easiest to
# use it.
scan_options |= ScanOptions.SCALEDATA
memhandle = ul.scaled_win_buf_alloc(total_count)
# Convert the memhandle to a ctypes array.
# Use the memhandle_as_ctypes_array_scaled method for scaled
# buffers.
ctypes_array = cast(memhandle, POINTER(c_double))
elif ai_info.resolution <= 16:
# Use the win_buf_alloc method for devices with a resolution <= 16
memhandle = ul.win_buf_alloc(total_count)
# Convert the memhandle to a ctypes array.
# Use the memhandle_as_ctypes_array method for devices with a
# resolution <= 16.
ctypes_array = cast(memhandle, POINTER(c_ushort))
else:
# Use the win_buf_alloc_32 method for devices with a resolution > 16
memhandle = ul.win_buf_alloc_32(total_count)
# Convert the memhandle to a ctypes array.
# Use the memhandle_as_ctypes_array_32 method for devices with a
# resolution > 16
ctypes_array = cast(memhandle, POINTER(c_ulong))
# Note: the ctypes array will no longer be valid after win_buf_free is
# called.
# A copy of the buffer can be created using win_buf_to_array or
# win_buf_to_array_32 before the memory is freed. The copy can be used
# at any time.
# Check if the buffer was successfully allocated
if not memhandle:
raise Exception('Error: Failed to allocate memory')
# Start the scan
ul.a_in_scan(board_num, low_chan, high_chan, total_count, rate,
ai_range, memhandle, scan_options)
print('Scan completed successfully. Data:')
# Create a format string that aligns the data in columns
row_format = '{:>5}' + '{:>10}' * num_chans
# Print the channel name headers
labels = ['Index']
for ch_num in range(low_chan, high_chan + 1):
labels.append('CH' + str(ch_num))
print(row_format.format(*labels))
# Print the data
data_index = 0
for index in range(points_per_channel):
display_data = [index]
for _ in range(num_chans):
if ScanOptions.SCALEDATA in scan_options:
# If the SCALEDATA ScanOption was used, the values
# in the array are already in engineering units.
eng_value = ctypes_array[data_index]
else:
# If the SCALEDATA ScanOption was NOT used, the
# values in the array must be converted to
# engineering units using ul.to_eng_units().
eng_value = ul.to_eng_units(board_num, ai_range,
ctypes_array[data_index])
data_index += 1
display_data.append('{:.3f}'.format(eng_value))
# Print this row
print(row_format.format(*display_data))
except Exception as e:
print('\n', e)
finally:
if memhandle:
# Free the buffer in a finally block to prevent a memory leak.
ul.win_buf_free(memhandle)
if use_device_detection:
ul.release_daq_device(board_num)
def run():
DaqDeviceScan(master=tk.Tk()).mainloop()
board_num = 0
rate = 1000
points_per_channel = 30
if use_device_detection:
ul.ignore_instacal()
if not configDevice(board_num):
print("Gerät konnte nicht gefunden werden!")
return
ai_props = aiProps(board_num)
low_channel = 0
high_channel = min(7, ai_props.num_ai_chans - 1)
num_channels = high_channel - low_channel + 1
total_amount = points_per_channel * num_channels
ai_range = ai_props.available_ranges[0]
scan_opt = ScanOptions.FOREGROUND
if ScanOptions.SCALEDATA in ai_props.supported_scan_options:
scan_opt |= ScanOptions.SCALEDATA
memhandle = ul.scaled_win_buf_alloc(total_amount)
c_array = memhandle_as_ctypes_array_scaled(memhandle)
elif ai_props.resolution <= 16:
memhandle = ul.win_buf_alloc(total_amount)
c_array = memhandle_as_ctypes_array(memhandle)
else: memhandle = ul.win_buf_alloc_32(memhandle)
if not memhandle:
print("Speicher konnte nicht allokiert werden")
restart = False
try:
wr = csv.writer(open("test5.csv","w"),delimiter=";")
ul.a_in_scan(board_num, low_channel, high_channel, total_amount, rate, ai_range, memhandle, scan_opt)
print("Scan erfolgreich!")
print("Daten: ")
test = ul.a_in_32(board_num, 0, ai_range, scan_opt)
test = ul.to_eng_units_32(board_num, ai_range, test)
print("test value:")
print(test)
row_format = "{:>5}" + "{:>10}" * num_channels
labels = []
labels.append("Index")
for ch_num in range(low_channel, high_channel + 1):
labels.append("CH" + str(ch_num))
print(row_format.format(*labels))
data_index = 0
for index in range(points_per_channel):
display_data = [index]
for _ in range(num_channels):
if ScanOptions.SCALEDATA in scan_opt:
eng_value = c_array[data_index]
else:
eng_value = ul.to_eng_units(
board_num, ai_range, c_array[data_index])
data_index += 1
display_data.append('{:.3f}'.format(eng_value))
wr.writerow(display_data)
print(row_format.format(*display_data))
except ULError as e:
pass
finally:
ul.win_buf_free(memhandle)
if use_device_detection:
ul.release_daq_device(board_num)
def start_scan(self):
low_chan = self.get_low_channel_num()
high_chan = self.get_high_channel_num()
if low_chan > high_chan:
messagebox.showerror(
"Error", "Low Channel Number must be greater than or equal to "
"High Channel Number")
self.start_button["state"] = tk.NORMAL
return
rate = 1000
points_per_channel = 10
num_channels = high_chan - low_chan + 1
total_count = points_per_channel * num_channels
range_ = self.ai_props.available_ranges[0]
trig_type = TrigType.TRIG_ABOVE
low_threshold_volts = 0.1
high_threshold_volts = 1.53
# Allocate a buffer for the scan
if self.ai_props.resolution <= 16:
# Use the win_buf_alloc method for devices with a resolution <= 16
memhandle = ul.win_buf_alloc(total_count)
else:
# Use the win_buf_alloc_32 method for devices with a resolution >
# 16
memhandle = ul.win_buf_alloc_32(total_count)
# Check if the buffer was successfully allocated
if not memhandle:
messagebox.showerror("Error", "Failed to allocate memory")
self.start_button["state"] = tk.NORMAL
return
try:
low_threshold, high_threshold = self.get_threshold_counts(
range_, low_threshold_volts, high_threshold_volts)
ul.set_trigger(self.board_num, trig_type, low_threshold,
high_threshold)
# Run the scan
ul.a_in_scan(self.board_num, low_chan, high_chan, total_count,
rate, range_, memhandle, ScanOptions.EXTTRIGGER)
# Convert the memhandle to a ctypes array
# Note: the ctypes array will only be valid until win_buf_free
# is called.
# A copy of the buffer can be created using win_buf_to_array
# or win_buf_to_array_32 before the memory is freed. The copy can
# be used at any time.
if self.ai_props.resolution <= 16:
# Use the memhandle_as_ctypes_array method for devices with a
# resolution <= 16
array = self.memhandle_as_ctypes_array(memhandle)
else:
# Use the memhandle_as_ctypes_array_32 method for devices with
# a resolution > 16
array = self.memhandle_as_ctypes_array_32(memhandle)
# Display the values
self.display_values(array, range_, total_count, low_chan,
high_chan)
except ULError as e:
self.show_ul_error(e)
finally:
# Free the allocated memory
ul.win_buf_free(memhandle)
self.start_button["state"] = tk.NORMAL
def start_scan(self):
self.low_chan = self.get_low_channel_num()
self.high_chan = self.get_high_channel_num()
self.num_chans = self.high_chan - self.low_chan + 1
if self.low_chan > self.high_chan:
messagebox.showerror(
"Error",
"Low Channel Number must be greater than or equal to High "
"Channel Number")
self.set_ui_idle_state()
return
rate = 100
points_per_channel = 1000
total_count = points_per_channel * self.num_chans
ai_range = self.ai_info.supported_ranges[0]
# Allocate a buffer for the scan
if self.ai_info.resolution <= 16:
# Use the win_buf_alloc method for devices with a resolution <=
# 16
self.memhandle = ul.win_buf_alloc(total_count)
# Convert the memhandle to a ctypes array
# Use the memhandle_as_ctypes_array method for devices with a
# resolution <= 16
self.ctypes_array = cast(self.memhandle, POINTER(c_ushort))
else:
# Use the win_buf_alloc_32 method for devices with a resolution
# > 16
self.memhandle = ul.win_buf_alloc_32(total_count)
# Use the memhandle_as_ctypes_array_32 method for devices with a
# resolution > 16
self.ctypes_array = cast(self.memhandle, POINTER(c_ulong))
# Note: the ctypes array will no longer be valid after
# win_buf_free is called.
# A copy of the buffer can be created using win_buf_to_array
# or win_buf_to_array_32 before the memory is freed. The copy
# can be used at any time.
# Check if the buffer was successfully allocated
if not self.memhandle:
messagebox.showerror("Error", "Failed to allocate memory")
self.set_ui_idle_state()
return
# Create the frames that will hold the data
self.recreate_data_frame()
try:
# Start the scan
ul.a_in_scan(self.board_num, self.low_chan, self.high_chan,
total_count, rate, ai_range, self.memhandle,
ScanOptions.BACKGROUND)
except ULError as e:
show_ul_error(e)
self.set_ui_idle_state()
return
# Start updating the displayed values
self.update_displayed_values()
def run_example():
board_num = 0
rate = 100
points_per_channel = 10
if use_device_detection:
ul.ignore_instacal()
if not util.config_first_detected_device(board_num):
print("Could not find device.")
return
ai_props = AnalogInputProps(board_num)
if ai_props.num_ai_chans < 1:
util.print_unsupported_example(board_num)
return
low_chan = 0
high_chan = min(3, ai_props.num_ai_chans - 1)
num_chans = high_chan - low_chan + 1
total_count = points_per_channel * num_chans
ai_range = ai_props.available_ranges[0]
scan_options = ScanOptions.FOREGROUND
if ScanOptions.SCALEDATA in ai_props.supported_scan_options:
# If the hardware supports the SCALEDATA option, it is easiest to
# use it.
scan_options |= ScanOptions.SCALEDATA
memhandle = ul.scaled_win_buf_alloc(total_count)
# Convert the memhandle to a ctypes array.
# Use the memhandle_as_ctypes_array_scaled method for scaled
# buffers.
ctypes_array = util.memhandle_as_ctypes_array_scaled(memhandle)
elif ai_props.resolution <= 16:
# Use the win_buf_alloc method for devices with a resolution <= 16
memhandle = ul.win_buf_alloc(total_count)
# Convert the memhandle to a ctypes array.
# Use the memhandle_as_ctypes_array method for devices with a
# resolution <= 16.
ctypes_array = util.memhandle_as_ctypes_array(memhandle)
else:
# Use the win_buf_alloc_32 method for devices with a resolution > 16
memhandle = ul.win_buf_alloc_32(total_count)
# Convert the memhandle to a ctypes array.
# Use the memhandle_as_ctypes_array_32 method for devices with a
# resolution > 16
ctypes_array = util.memhandle_as_ctypes_array_32(memhandle)
# Note: the ctypes array will no longer be valid after win_buf_free is
# called.
# A copy of the buffer can be created using win_buf_to_array or
# win_buf_to_array_32 before the memory is freed. The copy can be used
# at any time.
# Check if the buffer was successfully allocated
if not memhandle:
print("Failed to allocate memory.")
return
try:
# Start the scan
ul.a_in_scan(board_num, low_chan, high_chan, total_count, rate,
ai_range, memhandle, scan_options)
print("Scan completed successfully. Data:")
# Create a format string that aligns the data in columns
row_format = "{:>5}" + "{:>10}" * num_chans
# Print the channel name headers
labels = []
labels.append("Index")
for ch_num in range(low_chan, high_chan + 1):
labels.append("CH" + str(ch_num))
print(row_format.format(*labels))
# Print the data
data_index = 0
for index in range(points_per_channel):
display_data = [index]
for _ in range(num_chans):
if ScanOptions.SCALEDATA in scan_options:
# If the SCALEDATA ScanOption was used, the values
# in the array are already in engineering units.
eng_value = ctypes_array[data_index]
else:
# If the SCALEDATA ScanOption was NOT used, the
# values in the array must be converted to
# engineering units using ul.to_eng_units().
eng_value = ul.to_eng_units(board_num, ai_range,
ctypes_array[data_index])
data_index += 1
display_data.append('{:.3f}'.format(eng_value))
# Print this row
print(row_format.format(*display_data))
except ULError as e:
util.print_ul_error(e)
finally:
# Free the buffer in a finally block to prevent errors from causing
# a memory leak.
ul.win_buf_free(memhandle)
if use_device_detection:
ul.release_daq_device(board_num)
def start_scan(self):
self.low_chan = self.get_low_channel_num()
self.high_chan = self.get_high_channel_num()
self.num_chans = self.high_chan - self.low_chan + 1
if self.low_chan > self.high_chan:
messagebox.showerror(
"Error",
"Low Channel Number must be greater than or equal to High "
"Channel Number")
self.set_ui_idle_state()
return
rate = 100
points_per_channel = 1000
# Some hardware requires that the total_count is an integer multiple
# of the packet size. For this case, calculate a points_per_channel
# that is equal to or just above the points_per_channel selected
# which matches that requirement.
if self.ai_props.continuous_requires_packet_size_multiple:
packet_size = self.ai_props.packet_size
remainder = points_per_channel % packet_size
if remainder != 0:
points_per_channel += packet_size - remainder
total_count = points_per_channel * self.num_chans
range_ = self.ai_props.available_ranges[0]
scan_options = ScanOptions.BACKGROUND | ScanOptions.CONTINUOUS
# Allocate a buffer for the scan
if self.ai_props.resolution <= 16:
# Use the win_buf_alloc method for devices with a resolution <=
# 16
self.memhandle = ul.win_buf_alloc(total_count)
else:
# Use the win_buf_alloc_32 method for devices with a resolution
# > 16
self.memhandle = ul.win_buf_alloc_32(total_count)
if not self.memhandle:
messagebox.showerror("Error", "Failed to allocate memory")
self.set_ui_idle_state()
return
# Create the frames that will hold the data
self.recreate_data_frame()
try:
# Run the scan
ul.a_in_scan(self.board_num, self.low_chan, self.high_chan,
total_count, rate, range_, self.memhandle,
scan_options)
except ULError as e:
self.show_ul_error(e)
self.set_ui_idle_state()
return
# Convert the memhandle to a ctypes array
# Note: the ctypes array will no longer be valid after win_buf_free
# is called.
# A copy of the buffer can be created using win_buf_to_array
# or win_buf_to_array_32 before the memory is freed. The copy can
# be used at any time.
if self.ai_props.resolution <= 16:
# Use the memhandle_as_ctypes_array method for devices with a
# resolution <= 16
self.ctypes_array = self.memhandle_as_ctypes_array(self.memhandle)
else:
# Use the memhandle_as_ctypes_array_32 method for devices with a
# resolution > 16
self.ctypes_array = self.memhandle_as_ctypes_array_32(
self.memhandle)
# Start updating the displayed values
self.update_displayed_values(range_)
ai_range = ULRange.BIP5VOLTS
sample_rate = 2000
no_samples = 20000
#convert memhandle to array
def memhandle_as_ctypes_array(memhandle):
return ctypes.cast(memhandle, ctypes.POINTER(ctypes.c_ushort))
#store data as an array
memhandle = ul.win_buf_alloc(no_samples)
ctypes_array = memhandle_as_ctypes_array(memhandle)
#taking measurements
ul.a_in_scan(board_num, channel1, channel2, no_samples, sample_rate,
ULRange.BIP5VOLTS, memhandle, ScanOptions.FOREGROUND)
#create empty arrays for each channel
array_ch1 = [0] * int(no_samples / 2)
array_ch2 = [0] * int(no_samples / 2)
angle = np.arctan2(array_ch1, array_ch2)
for i in range(int(no_samples / 2)):
array_ch1[i] = ctypes_array[2 * i]
array_ch2[i] = ctypes_array[2 * i + 1]
#time array
t = (1 / sample_rate) * np.linspace(0, 1 + no_samples / 2, no_samples / 2)
array_ch1 = array_ch1 - np.mean(array_ch1)
