def daq_thread_func(wxapp):
TotalCount = 3000
ADData = numpy.zeros((TotalCount+512,), dtype=numpy.int16)
BoardNum = 0
UDStat = 0
Gain = UL.BIP5VOLTS
LowChan = 0
HighChan = 1
Rate = 20000
PretrigCount = 500
Options = UL.CONVERTDATA
while 1:
PretrigCount, TotalCount, Rate = UL.cbAPretrig (BoardNum,
LowChan,
HighChan,
PretrigCount,
TotalCount,
Rate, Gain,
ADData, Options)
datacopy = ADData[:]
wxapp.AddPendingEvent(TrigEvent(TotalCount,datacopy))
def daq_thread_func(wxapp):
TotalCount = 3000
ADData = numpy.zeros((TotalCount + 512, ), dtype=numpy.int16)
BoardNum = 0
UDStat = 0
Gain = UL.BIP5VOLTS
LowChan = 0
HighChan = 1
Rate = 20000
PretrigCount = 500
Options = UL.CONVERTDATA
while 1:
PretrigCount, TotalCount, Rate = UL.cbAPretrig(BoardNum, LowChan,
HighChan, PretrigCount,
TotalCount, Rate, Gain,
ADData, Options)
datacopy = ADData[:]
wxapp.AddPendingEvent(TrigEvent(TotalCount, datacopy))
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# Author: Andrew Straw
import UniversalLibrary as UL
import numpy
BoardNum = 0
Gain = UL.BIP5VOLTS
LowChan = 0
HighChan = 0
Rate = 2000
PretrigCount = 10
TotalCount = 700
ADData = numpy.zeros((TotalCount + 512, ), dtype=numpy.int16)
Options = UL.CONVERTDATA
PretrigCount, TotalCount, Rate = UL.cbAPretrig(BoardNum, LowChan, HighChan,
PretrigCount, TotalCount, Rate,
Gain, ADData, Options)
##Rate = UL.cbAInScan(BoardNum, LowChan, HighChan, Count,
## Rate, Gain, ADData, Options)
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# Author: Andrew Straw
import UniversalLibrary as UL
import numpy
BoardNum = 0
Gain = UL.BIP5VOLTS
LowChan = 0
HighChan = 0
Rate = 2000
PretrigCount = 10
TotalCount = 700
ADData = numpy.zeros((TotalCount+512,), dtype=numpy.int16)
Options = UL.CONVERTDATA
PretrigCount, TotalCount, Rate = UL.cbAPretrig (BoardNum, LowChan, HighChan,
PretrigCount, TotalCount,
Rate, Gain, ADData, Options)
##Rate = UL.cbAInScan(BoardNum, LowChan, HighChan, Count,
## Rate, Gain, ADData, Options)
