From: W. Trevor King Date: Sat, 4 Oct 2008 14:55:29 +0000 (-0400) Subject: Versioning started. X-Git-Tag: 0.0^0 X-Git-Url: http://git.tremily.us/?a=commitdiff_plain;h=53cf4c08aa01416aeb0300057ccf2dba9fb587b6;p=pycomedi.git Versioning started. Time to compile this heap-o-stuff into a real package. --- 53cf4c08aa01416aeb0300057ccf2dba9fb587b6 diff --git a/pycomedi/__init__.py b/pycomedi/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/pycomedi/comedi_simult_aio.py b/pycomedi/comedi_simult_aio.py new file mode 100644 index 0000000..303b72b --- /dev/null +++ b/pycomedi/comedi_simult_aio.py @@ -0,0 +1,400 @@ +# Simultaneous, finite, buffered analog inpout/output using comedi drivers + +import comedi +from numpy import array, fromstring, uint16, float32, pi, sin +import int16_rw + +# imports for testing +from time import sleep +from scipy.stats import linregress +from os import system + +#VERBOSE = True +VERBOSE = False +AO_TRIGGERS_OFF_AI_START = True +#AO_TRIGGERS_OFF_AI_START = False + +class simAioError (Exception) : + "Simultaneous Analog IO error" + pass + +_example_array = array([0], dtype=uint16) # for typing, since I don't know what type(array) should be + +_cmdtest_message = ["success", + "invalid source", + "source conflict", + "invalid argument", + "argument conflict", + "invalid chanlist"] + +def _print_cmdsrc(source) : + if source & comedi.TRIG_NONE : print "none|", + if source & comedi.TRIG_NOW : print "now|", + if source & comedi.TRIG_FOLLOW : print "follow|", + if source & comedi.TRIG_TIME : print "time|", + if source & comedi.TRIG_TIMER : print "timer|", + if source & comedi.TRIG_COUNT : print "count|", + if source & comedi.TRIG_EXT : print "ext|", + if source & comedi.TRIG_INT : print "int|", + if source & comedi.TRIG_OTHER : print "other|", + +def _print_command(cmd) : + print "subdevice: \t%d" % cmd.subdev + print "flags: \t0x%x" % cmd.flags + print "start: \t", + _print_cmdsrc(cmd.start_src) + print "\t%d" % cmd.start_arg + print "scan_begin:\t", + _print_cmdsrc(cmd.scan_begin_src) + print "\t%d" % cmd.scan_begin_arg + print "convert: \t", + _print_cmdsrc(cmd.convert_src) + print "\t%d" % cmd.convert_arg + print "scan_end: \t", + _print_cmdsrc(cmd.scan_end_src) + print "\t%d" % cmd.scan_end_arg + print "stop: \t", + _print_cmdsrc(cmd.stop_src) + print "\t%d" % cmd.stop_arg + +def _expand_tuple(tup, length) : + "Expand an iterable TUP to a tuple of LENGTH by repeating the last element" + if len(tup) > length : + raise simAioError, "Tuple too long." + elif len(tup) < length : + temp_tup = tup + tuple((tup[-1],)*(length-len(tup))) + tup = temp_tup + return tup + +class aio_obj : + def __init__(self, filename="/dev/comedi0", + in_subdevice=-1, in_chan=(0,), in_aref=(0,), in_range=(0,), + out_subdevice=-1, out_chan=(0,), out_aref=(0,), out_range=(0,)) : + self._comedi = comedi + self._filename = filename + self.state = "Closed" + self.open() + + self._iaref = _expand_tuple(in_aref, len(in_chan)) + self._irange = _expand_tuple(in_range, len(in_chan)) + temp = self._check_options(in_subdevice, in_chan, self._iaref, self._irange, output=False) + self._isubdev = temp["subdevice"] + self._ichan_params = temp["chan_params"] + self._ichan = in_chan + self.i_nchan = len(self._ichan) + self._ichanlist = self._comedi.chanlist(self.i_nchan) + for i in range(self.i_nchan) : + self._ichanlist[i] = self._comedi.cr_pack(self._ichan[i], self._irange[i], self._iaref[i]) + + self._oaref = _expand_tuple(out_aref, len(in_chan)) + self._orange = _expand_tuple(out_range, len(in_chan)) + temp = self._check_options(out_subdevice, out_chan, self._oaref, self._orange, output=True) + self._osubdev = temp["subdevice"] + self._ochan_params = temp["chan_params"] + self._ochan = out_chan + self.o_nchan = len(self._ochan) + self._ochanlist = self._comedi.chanlist(self.o_nchan) + for i in range(self.o_nchan) : + self._ochanlist[i] = self._comedi.cr_pack(self._ochan[i], self._orange[i], self._oaref[i]) + + self._gen_rough_output_cmd() + self._gen_rough_input_cmd() + self.state = "Initialized" + def __del__(self) : + self.close() + def close(self) : + if self.state != "Closed" : + self.reset(force=True) + rc = self._comedi.comedi_close(self._dev) + if rc < 0 : + self._comedi.comedi_perror("comedi_close") + raise simAioError, "Cannot close %s" % self._filename + if VERBOSE : + print "Closed %s on fd %d" % (self._filename, self._fd) + self.state = "Closed" + def open(self) : + if self.state != "Closed" : + raise simAioError, "Invalid state %s" % self.state + self._dev = self._comedi.comedi_open(self._filename) + self._fd = self._comedi.comedi_fileno(self._dev) + if VERBOSE : + print "Opened %s on fd %d" % (self._filename, self._fd) + self.state = "Initialized" + def _check_options(self, subdevice, chan, aref, rnge, output=True) : + subdevice = self._check_subdevice(subdevice, output=output) + chan_params = [] + for i in range(len(chan)) : + chan_params.append(self._check_chan(subdevice, chan[i], aref[i], rnge[i])) + if VERBOSE : + if output : + print "Output", + else : + print "Input", + print " subdevice with channels %s is valid" % (str(chan)) + return {"subdevice":subdevice, + "chan_params":chan_params} + def _check_subdevice(self, subdevice, output=True) : + if output == True : + target_type = self._comedi.COMEDI_SUBD_AO + else : + target_type = self._comedi.COMEDI_SUBD_AI + if (subdevice < 0) : # autodetect an input device + subdevice = self._comedi.comedi_find_subdevice_by_type(self._dev, target_type, 0) # 0 is starting subdevice + else : + type = self._comedi.comedi_get_subdevice_type(self._dev, subdevice) + if type != target_type : + raise simAioError, "Comedi subdevice %d has wrong type %d" % (subdevice, type) + return subdevice + def _check_chan(self, subdevice, chan, aref, range) : + subdev_n_chan = self._comedi.comedi_get_n_channels(self._dev, subdevice) + if chan >= subdev_n_chan : + raise simAioError, "Channel %d > subdevice %d's largest chan %d" % (chan, subdevice, subdev_n_chan-1) + n_range = self._comedi.comedi_get_n_ranges(self._dev, subdevice, chan) + if range >= n_range : + raise simAioError, "Range %d > subdevice %d, chan %d's largest range %d" % (range, subdevice, chan, n_range-1) + maxdata = self._comedi.comedi_get_maxdata(self._dev, subdevice, chan) + comrange = self._comedi.comedi_get_range(self._dev, subdevice, chan, range) + return {"maxdata":maxdata, "comrange": comrange} + def _gen_rough_output_cmd(self) : + if VERBOSE : + print "generate rough output command" + cmd = self._comedi.comedi_cmd_struct() + cmd.subdev = self._osubdev + cmd.flags = self._comedi.CMDF_WRITE + if AO_TRIGGERS_OFF_AI_START : + cmd.start_src = self._comedi.TRIG_EXT + cmd.start_arg = 18 # AI_START1 internal AI start signal + else : + cmd.start_src = self._comedi.TRIG_INT + cmd.start_arg = 0 + cmd.scan_begin_src = self._comedi.TRIG_TIMER + cmd.scan_begin_arg = 1 # temporary value for now + cmd.convert_src = self._comedi.TRIG_NOW + cmd.convert_arg = 0 + cmd.scan_end_src = self._comedi.TRIG_COUNT + cmd.scan_end_arg = self.o_nchan + cmd.stop_src = self._comedi.TRIG_COUNT + cmd.stop_arg = 1 # temporary value for now + cmd.chanlist = self._ochanlist + cmd.chanlist_len = self.o_nchan + self._test_cmd(cmd, max_passes=3) + self._ocmd = cmd + def _gen_rough_input_cmd(self) : + if VERBOSE : + print "generate rough input command" + cmd = self._comedi.comedi_cmd_struct() + cmd.subdev = self._isubdev + cmd.flags = 0 + cmd.start_src = self._comedi.TRIG_INT + cmd.start_arg = 0 + cmd.scan_begin_src = self._comedi.TRIG_TIMER + cmd.scan_begin_arg = 1 # temporary value for now + cmd.convert_src = self._comedi.TRIG_TIMER + cmd.convert_arg = 1 + cmd.scan_end_src = self._comedi.TRIG_COUNT + cmd.scan_end_arg = self.i_nchan + cmd.stop_src = self._comedi.TRIG_COUNT + cmd.stop_arg = 1 # temporary value for now + cmd.chanlist = self._ichanlist + cmd.chanlist_len = self.i_nchan + self._test_cmd(cmd, max_passes=3) + self._icmd = cmd + def _test_cmd(self, cmd, max_passes=1) : + very_verbose = False + i = 0 + rc = 0 + if very_verbose : + print "Testing command:" + _print_command(cmd) + while i < max_passes : + rc = self._comedi.comedi_command_test(self._dev, cmd) + if (rc == 0) : + break + if VERBOSE or very_verbose : + print "test pass %d, %s" % (i, _cmdtest_message[rc]) + i += 1 + if (VERBOSE or very_verbose) and i < max_passes : + print "Passing command:" + _print_command(cmd) + if i >= max_passes : + print "Failing command:" + _print_command(cmd) + raise simAioError, "Invalid command: %s" % _cmdtest_message[rc] + def setup(self, nsamps, freq, out_buffer) : + if self.state != "Initialized" : + raise simAioError, "Invalid state %s" % self.state + if type(out_buffer) != type(_example_array) : + raise simAioError, "out_buffer must be a numpy array, not a %s" % str(type(out_buffer)) + self._ocmd.scan_begin_arg = int(1e9/freq) + self._ocmd.stop_arg = nsamps + if VERBOSE : + print "Configure the board (%d ns per scan, %d samps)" % (self._ocmd.scan_begin_arg, self._ocmd.stop_arg) + self._onremain = nsamps + self._test_cmd(self._ocmd) + rc = self._comedi.comedi_command(self._dev, self._ocmd) + if rc < 0 : + self._comedi.comedi_perror("comedi_command") + raise simAioError, "Error executing output command %d" % rc + self._icmd.scan_begin_arg = int(1e9/freq) + self._icmd.stop_arg = nsamps + self._test_cmd(self._icmd) + self._inremain = nsamps + rc = self._comedi.comedi_command(self._dev, self._icmd) + if rc < 0 : + self._comedi.comedi_perror("comedi_command") + raise simAioError, "Error executing input command" + + if VERBOSE : + print "Write %d output samples to the card" % (nsamps*self.o_nchan) + rc = int16_rw.write_samples(self._fd, nsamps*self.o_nchan, out_buffer, 1) + if rc != nsamps*self.o_nchan : + raise simAioError, "Error %d writing output buffer\n" % rc + rc = int16_rw.write_samples(self._fd, self.o_nchan, out_buffer[-self.o_nchan:], 1) # HACK, add an extra sample for each channel to the output buffer + if rc != self.o_nchan : + raise simAioError, "Error %d writing hack output buffer\n" % rc + # maybe will avoid resetting... + self._nsamps = nsamps + self.state = "Setup" + def arm(self) : + if self.state != "Setup" : + raise simAioError, "Invalid state %s" % self.state + if VERBOSE : + print "Arm the analog ouptut" + self._comedi_internal_trigger(self._osubdev) + self.state = "Armed" + def start_read(self, in_buffer) : + if self.state != "Armed" : + raise simAioError, "Invalid state %s" % self.state + if VERBOSE : + print "Start the run" + self._comedi_internal_trigger(self._isubdev) + if VERBOSE : + print "Read %d input samples from the card" % (self._nsamps*self.i_nchan) + rc = int16_rw.read_samples(self._fd, self._nsamps*self.i_nchan, in_buffer, -1) + if rc != self._nsamps*self.i_nchan : + raise simAioError, "Error %d reading input buffer\n" % rc + self.state = "Read" + def _comedi_internal_trigger(self, subdevice) : + data = self._comedi.chanlist(1) # by luck, data is an array of lsampl_t (unsigned ints), as is chanlist + insn = self._comedi.comedi_insn_struct() + insn.insn = self._comedi.INSN_INTTRIG + insn.subdev = subdevice + insn.data = data + insn.n = 1 + data[0] = 0 + rc = self._comedi.comedi_do_insn(self._dev, insn) + def reset(self, force=False) : + if VERBOSE : + print "Reset the analog subdevices" + # clean up after the read + rc = self._comedi.comedi_cancel(self._dev, self._osubdev) + if rc < 0 : + self._comedi.comedi_perror("comedi_cancel") + raise simAioError, "Error cleaning up output command" + rc = self._comedi.comedi_cancel(self._dev, self._isubdev) + if rc < 0 : + self._comedi.comedi_perror("comedi_cancel") + raise simAioError, "Error cleaning up input command" + self.state = "Initialized" + + +# define the test suite + +def _test_aio_obj(aio=None, start_wait=0, verbose=False) : + if (verbose) : + print "_test_aio_obj(start_wait = %g)" % start_wait + nsamps = 10 + out_data = array([0]*nsamps, dtype=uint16) + in_data = array([0]*nsamps, dtype=uint16) + for i in range(nsamps) : + out_data[i] = int(30000.0+3000.0*sin(2*pi*i/float(nsamps))) + aio.setup(10, 1000, out_data) + aio.arm() + sleep(start_wait) + aio.start_read(in_data) + aio.reset() + if (verbose) : + print "out_data:\n", out_data + print "in_data:\n", in_data + print "residual:\n[", + for i, o in zip(in_data, out_data) : + print int(i)-int(o), + print "]" + return (out_data, in_data) + +def _repeat_aio_test(aio=None, num_tests=100, start_wait=0, verbose=False) : + print "_repeat_aio_test()" + grads = array([0]*num_tests, dtype=float32) + good = 0 + bad = 0 + good_run = 0 + good_run_arr = [] + for i in range(num_tests) : + out_data, in_data = _test_aio_obj(aio, start_wait) + gradient, intercept, r_value, p_value, std_err = linregress(out_data, in_data) + grads[i] = gradient + if verbose : + print "wait %2d, run %2d, gradient %g" % (start_wait, i, gradient) + if gradient < .7 : + bad += 1 + good_run_arr.append(good_run) + good_run = 0 + else : + good += 1 + good_run += 1 + good_run_arr.append(good_run) + print "failure rate %g%% in %d runs" % ((float(bad)/float(good+bad))*100.0, num_tests) + call = 'echo "' + for num in good_run_arr : + call += "%d " % num + call += '" | stem_leaf 2' + print "good run stem and leaf:" + system(call) + +def _test_aio_obj_multi_chan(aio=None, start_wait=0, verbose=False) : + if (verbose) : + print "_test_aio_obj_multi_chan(start_wait = %g)" % start_wait + nsamps = 10 + out_data = array([0]*nsamps*aio.o_nchan, dtype=uint16) + in_data = array([0]*nsamps*aio.i_nchan, dtype=uint16) + # set up interleaved data + for i in range(nsamps) : + out_data[i*aio.o_nchan] = int(30000.0+3000.0*sin(2*pi*i/float(nsamps))) + for j in range(1, aio.o_nchan) : + out_data[i*aio.o_nchan + j] = 0 + aio.setup(10, 1000, out_data) + aio.arm() + sleep(start_wait) + aio.start_read(in_data) + aio.reset() + if (verbose) : + print "#", + for j in range(aio.o_nchan) : + print "%s\t" % aio._ochan[j], + for j in range(aio.i_nchan) : + print "%s\t" % aio._ichan[j], + print "" + for i in range(nsamps) : + for j in range(aio.o_nchan) : + print "%s\t" % out_data[i*aio.o_nchan+j], + for j in range(aio.i_nchan) : + print "%s\t" % in_data[i*aio.i_nchan+j], + print "" + return (out_data, in_data) + + + +def test() : + aio = aio_obj() + _test_aio_obj(aio, start_wait = 0, verbose=True) + _test_aio_obj(aio, start_wait = 0.5, verbose=True) + aio.close() + aio.open() + #_repeat_aio_test(aio, num_tests=100, start_wait=0, verbose=False) + aio.close() + + aiom = aio_obj(in_chan=(0,1,2,3), out_chan=(0,1)) + _test_aio_obj_multi_chan(aiom, start_wait = 0, verbose=True) + +if __name__ == "__main__" : + test() diff --git a/pycomedi/comedi_single_aio.py b/pycomedi/comedi_single_aio.py new file mode 100644 index 0000000..0b270b8 --- /dev/null +++ b/pycomedi/comedi_single_aio.py @@ -0,0 +1,239 @@ +# Use Comedi drivers for single-shot analog input/output + +import comedi + +VERSION = 0.0 +VERBOSE_DEBUG = True + +class sngAioError (Exception) : + "Single point Analog IO error" + pass + +class ai_obj : + def __init__(self, filename="/dev/comedi0", subdevice=-1, chan=(0,1,2,3), aref=0, range=0) : + self.verbose = False + self.comedi = comedi + self.filename = filename + self.state = "Closed" + self.open() + if (subdevice < 0) : # autodetect an output device + self.subdev = self.comedi.comedi_find_subdevice_by_type(self.dev, self.comedi.COMEDI_SUBD_AI, 0) # 0 is starting subdevice + else : + self.subdev = subdevice + type = self.comedi.comedi_get_subdevice_type(self.dev, self.subdev) + if type != self.comedi.COMEDI_SUBD_AI : + raise sngAioError, "Comedi subdevice %d has wrong type %d" % (self.subdev, type) + self.chan = chan + self.aref = aref + self.range = range + subdev_n_chan = self.comedi.comedi_get_n_channels(self.dev, self.subdev) + self.maxdata = [] + self.comedi_range = [] + for chan in self.chan : + if int(chan) != chan : + raise sngAioError, "Channels must be integers, not %s" % str(chan) + if chan >= subdev_n_chan : + raise sngAioError, "Channel %d > subdevice %d's largest chan %d" % (chan, self.subdev, subdev_n_chan-1) + n_range = self.comedi.comedi_get_n_ranges(self.dev, self.subdev, chan) + if range > n_range : + raise sngAioError, "Range %d > subdevice %d, chan %d's largest range %d" % (range, subdev, chan, n_range-1) + maxdata = self.comedi.comedi_get_maxdata(self.dev, self.subdev, chan) + self.maxdata.append(maxdata) + comrange = self.comedi.comedi_get_range(self.dev, self.subdev, chan, range) + # comrange becomes invalid if device is closed, so make a copy... + comrange_copy = self.comedi.comedi_range() + comrange_copy.min = comrange.min + comrange_copy.max = comrange.max + comrange_copy.unit = comrange.unit + self.comedi_range.append(comrange_copy) + def __del__(self) : + self.close() + def open(self) : + if self.state == "Closed" : + self.dev = self.comedi.comedi_open(self.filename) + self.state = "Opened" + def close(self) : + if self.state != "Closed" : + rc = self.comedi.comedi_close(self.dev) + if rc < 0 : + self.comedi.comedi_perror("comedi_close") + raise sngAioError, "Cannot close %s" % self.filename + self.state = "Closed" + def comedi_to_phys(self, chan_index, comedi) : + phys = self.comedi.comedi_to_phys(comedi, self.comedi_range[chan_index], self.maxdata[chan_index]) + if self.verbose : + print "comedi %d = %g Volts on subdev %d, chan %d, range [%g, %g], max %d" % (comedi, phys, self.subdev, self.chan[chan_index], self.comedi_range[chan_index].max, self.comedi_range[chan_index].min, self.maxdata[chan_index]) + return phys + def phys_to_comedi(self, chan_index, phys) : + comedi = self.comedi.comedi_from_phys(phys, self.comedi_range[chan_index], self.maxdata[chan_index]) + if self.verbose : + print "%g Volts = comedi %d on subdev %d, chan %d, range [%g, %g], max %d" % (phys, comedi, self.subdev, self.chan[chan_index], self.comedi_range[chan_index].max, self.comedi_range[chan_index].min, self.maxdata[chan_index]) + return comedi + def read_chan_index(self, chan_index) : + rc, data = self.comedi.comedi_data_read(self.dev, self.subdev, self.chan[chan_index], self.range, self.aref); + if rc != 1 : # the number of samples read + raise sngAioError, "comedi_data_read returned %d" % rc + return data + def read(self) : + out = range(len(self.chan)) + for i in range(len(self.chan)) : + out[i] = self.read_chan_index(i) + #print "Read %s, got %s" % (str(self.chan), str(out)) + return out + +def _test_ai_obj() : + ai = ai_obj() + print "read ", ai.read() + print "read ", ai.read() + print "read ", ai.read() + print "read ", ai.read() + ai.close() + print "ai success" + +class ao_obj : + def __init__(self, filename="/dev/comedi0", subdevice=-1, chan=(0,1), aref=0, range=0) : + self.verbose = False + self.comedi = comedi + self.filename = filename + self.state = "Closed" + self.open() + if (subdevice < 0) : # autodetect an output device + self.subdev = self.comedi.comedi_find_subdevice_by_type(self.dev, self.comedi.COMEDI_SUBD_AO, 0) # 0 is starting subdevice + else : + self.subdev = subdevice + type = self.comedi.comedi_get_subdevice_type(self.dev, self.subdev) + if type != self.comedi.COMEDI_SUBD_AO : + raise sngAioError, "Comedi subdevice %d has wrong type %d" % (self.subdev, type) + self.chan = chan + self.aref = aref + self.range = range + subdev_n_chan = self.comedi.comedi_get_n_channels(self.dev, self.subdev) + self.maxdata = [] + self.comedi_range = [] + for chan in self.chan : + if chan >= subdev_n_chan : + raise sngAioError, "Channel %d > subdevice %d's largest chan %d" % (chan, self.subdev, subdev_n_chan-1) + n_range = self.comedi.comedi_get_n_ranges(self.dev, self.subdev, chan) + if range > n_range : + raise sngAioError, "Range %d > subdevice %d, chan %d's largest range %d" % (range, subdev, chan, n_range-1) + maxdata = self.comedi.comedi_get_maxdata(self.dev, self.subdev, chan) + self.maxdata.append(maxdata) + comrange = self.comedi.comedi_get_range(self.dev, self.subdev, chan, range) + # comrange becomes invalid if device is closed, so make a copy... + comrange_copy = self.comedi.comedi_range() + comrange_copy.min = comrange.min + comrange_copy.max = comrange.max + comrange_copy.unit = comrange.unit + self.comedi_range.append(comrange_copy) + def __del__(self) : + self.close() + def open(self) : + if self.state != "Closed" : + raise sngAioError, "Invalid state %s" % self.state + self.dev = self.comedi.comedi_open(self.filename) + self.state = "Opened" + def close(self) : + if self.state != "Closed" : + for i in range(len(self.chan)) : + self.write_chan_index(i, self.phys_to_comedi(i, 0)) + rc = self.comedi.comedi_close(self.dev) + if rc < 0 : + self.comedi.comedi_perror("comedi_close") + raise sngAioError, "Cannot close %s" % self.filename + self.state = "Closed" + def comedi_to_phys(self, chan_index, comedi) : + phys = self.comedi.comedi_to_phys(int(comedi), self.comedi_range[chan_index], self.maxdata[chan_index]) + if self.verbose : + print "comedi %d = %g Volts on subdev %d, chan %d, range [%g, %g], max %d" % (comedi, phys, self.subdev, self.chan[chan_index], self.comedi_range[chan_index].max, self.comedi_range[chan_index].min, self.maxdata[chan_index]) + return phys + def phys_to_comedi(self, chan_index, phys) : + comedi = self.comedi.comedi_from_phys(phys, self.comedi_range[chan_index], self.maxdata[chan_index]) + if self.verbose : + print "%g Volts = comedi %d on subdev %d, chan %d, range [%g, %g], max %d" % (phys, comedi, self.subdev, self.chan[chan_index], self.comedi_range[chan_index].max, self.comedi_range[chan_index].min, self.maxdata[chan_index]) + return comedi + def write_chan_index(self, chan_index, data) : + #print "set output on chan %d to %d" % (chan_index, data) + rc = self.comedi.comedi_data_write(self.dev, self.subdev, self.chan[chan_index], self.range, self.aref, int(data)); + if rc != 1 : # the number of samples written + raise sngAioError, 'comedi_data_write returned %d' % rc + def write(self, data) : + if len(data) != len(self.chan) : + raise sngAioError, "data length %d != the number of channels (%d)" % (len(data), len(self.chan)) + for i in range(len(self.chan)) : + self.write_chan_index(i, data[i]) + +def _test_ao_obj() : + ao = ao_obj() + ao.write([0,0]) + ao.write([3000,3000]) + ao.write([0,0]) + ao.close() + print "ao success" + +def _fit_with_residual(out_data, in_data) : + from scipy.stats import linregress + gradient, intercept, r_value, p_value, std_err = linregress(out_data, in_data) + print "y = %g + %g x" % (intercept, gradient) + print "r = ", r_value # correlation coefficient = covariance / (std_dev_x*std_dev_y) + print "p = ", p_value # probablility of measuring this ?slope? for non-correlated, normally-distruibuted data + print "err = ", std_err # root mean sqared error of best fit + if gradient < .7 or p_value > 0.05 : + raise sngAioError, "Out channel 0 != in channel 0" + residual = zeros((points,)) + for i in range(points) : + pred_y = intercept + gradient * out_data[i] + residual[i] = in_data[i] - pred_y + return residual + +def plot_data(out_data0, in_data0, residual0, out_data1, in_data1, residual1) : + try : + from pylab import plot, show, subplot + subplot(311) + plot(out_data0, in_data0, 'r.-', out_data1, in_data1, 'b.') + subplot(312) + plot(out_data0, residual0, 'r.', residual1, 'b.') + subplot(313) + plot(in_data0, 'r.', out_data1, 'b.') + show() # if interactive mode is off... + #raw_input("Press enter to continue") # otherwise, pause + except ImportError : + pass # ignore plot erros + +def _test_aio() : + from scipy.stats import linregress + from numpy import linspace, zeros + ao = ao_obj(chan=(0,1)) + ai = ai_obj(chan=(0,1)) + start = 0.1 * ao.maxdata[0] + stop = 0.9 * ao.maxdata[0] + points = 10 + out_data0 = linspace(start, stop, points) + out_data1 = linspace(stop, start, points) + in_data0 = zeros((points,)) + in_data1 = zeros((points,)) + for i in range(points) : + ao.write([out_data0[i], out_data1[i]]) + id = ai.read() + in_data0[i] = id[0] + in_data1[i] = id[1] + ai.close() + ao.close() + residual0 = _fit_with_residual(out_data0, in_data0) + residual1 = _fit_with_residual(out_data1, in_data1) + if VERBOSE_DEBUG : + plot_data(out_data0, in_data0, residual0, out_data1, in_data1, residual1) + for i in range(points) : + if abs(residual0[i]) > 10 : # HACK, hardcoded maximum nonlinearity + raise Exception, "Input 0, point %d (x %d), y-value %d has excessive residual %d" % (i, out_data0[i], in_data0[i], residual0[i]) + if abs(residual1[i]) > 10 : # HACK, hardcoded maximum nonlinearity + raise Exception, "Input 1, point %d (x %d), y-value %d has excessive residual %d" % (i, out_data1[i], in_data1[i], residual1[i]) + + print "_test_aio success" + +def test() : + _test_ai_obj() + _test_ao_obj() + _test_aio() + +if __name__ == "__main__" : + test() diff --git a/pycomedi/comedi_single_dio.py b/pycomedi/comedi_single_dio.py new file mode 100644 index 0000000..e3fd9c0 --- /dev/null +++ b/pycomedi/comedi_single_dio.py @@ -0,0 +1,98 @@ +"""Use Comedi drivers for single-shot digital input/output + +Being single-shot implementations, read/writes will be software timed, +so this module would not be a good choice if you need millisecond +resolution. However, it does provide a simple and robust way to +generate/aquire signals at 1 second and greater timescales. +""" + +import comedi as c + +VERSION = 0.0 + +class dioError (Exception) : + "Digital IO error" + pass + +class dio_obj : + def __init__(self, filename="/dev/comedi0", subdevice=2, chan=(0,1,2,3), aref=0, range=0, output=True) : + self.filename = filename + self.subdev = subdevice + self.chan = chan + self.aref = aref + self.range = range + self.output = output + self.dev = c.comedi_open(filename) + if self.dev < 0 : + raise dioError, "Cannot open %s" % self.filename + type = c.comedi_get_subdevice_type(self.dev, self.subdev) + if type != c.COMEDI_SUBD_DIO : + raise dioError, "Comedi subdevice %d has wrong type %d" % (self.subdev, type) + if self.output : + self.set_to_output() + else : + self.set_to_input() + def set_to_output(self) : + for chan in self.chan : + rc = c.comedi_dio_config(self.dev, self.subdev, chan, c.COMEDI_OUTPUT) + if rc != 1 : # yes, comedi_dio_config returns 1 on success, -1 on failure, as of comedilib-0.8.1 + raise dioError, 'comedi_dio_config("%s", %d, %d, %d) returned %d' % (self.filename, self.subdev, chan, c.COMEDI_OUTPUT, rc) + self.output = True + def set_to_input(self) : + for chan in self.chan : + rc = c.comedi_dio_config(self.dev, self.subdev, chan, c.COMEDI_INPUT) + if rc != 1 : + raise dioError, 'comedi_dio_config("%s", %d, %d, %d) returned %d' % (self.filename, self.subdev, chan, c.COMEDI_INPUT, rc) + self.output = False + def write_chan_index(self, chan_index, data) : + if self.output != True : + raise dioError, "Must be an output to write" + rc = c.comedi_data_write(self.dev, self.subdev, self.chan[chan_index], self.range, self.aref, data); + if rc != 1 : # the number of samples written + raise dioError, "comedi_data_write returned %d" % rc + def read_chan_index(self, chan_index) : + if self.output == True : + raise dioError, "Must be an input to read" + rc, data = c.comedi_data_read(self.dev, self.subdev, self.chan[chan_index], self.range, self.aref); + if rc != 1 : # the number of samples read + raise dioError, "comedi_data_read returned %d" % rc + return data + def write_port(self, data) : + "Channel significance increases with array index" + for i in range(len(self.chan)) : + self.write_chan_index(i, (data >> i) % 2) + def read_port(self) : + data = 0 + for i in range(len(self.chan)) : + data += self.read_chan_index(i) << i + return data + +class write_dig_port (dio_obj) : + def __call__(self, data) : + self.write_port(data) + +def _test_dio_obj() : + d = dio_obj() + d.set_to_output() + d.write_chan_index(0, 1) + d.write_chan_index(0, 0) + d.write_port(7) + d.set_to_input() + data = d.read_chan_index(0) + print "channel %d is %d" % (d.chan[0], data) + data = d.read_port() + print "port value is %d" % data + print "dio_obj success" + +def _test_write_dig_port() : + p = write_dig_port() + for data in [0, 1, 2, 3, 4, 5, 6, 7] : + p(data) + print "write_dig_port success" + +def test() : + _test_dio_obj() + _test_write_dig_port() + +if __name__ == "__main__" : + test() diff --git a/pycomedi/linreg.py b/pycomedi/linreg.py new file mode 100755 index 0000000..1caa198 --- /dev/null +++ b/pycomedi/linreg.py @@ -0,0 +1,14 @@ +#!/usr/bin/python + +from scipy.stats import linregress +from scipy.io import read_array, write_array +import sys + +if __name__ == "__main__" : + data = read_array(sys.argv[1]) #, atype='Integer' numpy.typecodes + gradient, intercept, r_value, p_value, std_err = linregress(data) + print "y = %g + %g x" % (intercept, gradient) + print "r = ", r_value # correlation coefficient = covariance / (std_dev_x*std_dev_y) + print "p = ", p_value # probablility of measuring this ?slope? for non-correlated, normally-distruibuted data + print "err = ", std_err # root mean sqared error of best fit + diff --git a/pycomedi/test.py b/pycomedi/test.py new file mode 100755 index 0000000..c77a5a8 --- /dev/null +++ b/pycomedi/test.py @@ -0,0 +1,59 @@ +#!/usr/bin/python +# +# With analog output 0 cabled directly to analog input 0 +# output a single period of a 1000kHz sine wave +# and perform a linear regression between the output and input data. +# If the input is closely correlated to the output (gradient > 0.7) +# consider the synchronized input/output a success. +# Prints the success rate for num_runs + +from scipy.stats import linregress +from scipy.io import read_array, write_array +from os import system +from numpy import zeros + +# I had been checking at different waits between AO arming and AI triggering, +# thinking that the problem might be due to my patch. +# But I get failure rates of ~ 20% regardless of the wait time (-t option) +# So currently only use waits of 0 seconds to get more data. + +def test() : + #waits = range(5, -1, -1) + waits = [0] + + num_runs = 200 + runs = range(0, num_runs) + results = zeros((1, num_runs)) + good_run_arr = [] + + fails = 0 + successes = 0 + good_run = 0 + for wait in waits : + for run in runs : + call = './simult_aio -n 50 -F 50000 -w 1000 -t%d' % wait + if system(call) != 0 : + return 1 + if system('int16s_to_ascii_array out in > data') != 0 : + return 1 + data = read_array('data') + gradient, intercept, r_value, p_value, std_err = linregress(data) + results[wait,run] = gradient + print "wait %2d, run %2d, gradient %g" % (wait, run, gradient) + if gradient < .7 : + fails += 1 + good_run_arr.append(good_run) + good_run = 0 + else : + successes += 1 + good_run += 1 + print "failure rate ", (float(fails)/float(fails+successes)) + call = 'echo "' + for num in good_run_arr : + call += "%d " % num + call += '" | stem_leaf 2' + print "good runs:" + system(call) + +if __name__ == "__main__" : + test() diff --git a/pycomedi/test_comedi.py b/pycomedi/test_comedi.py new file mode 100644 index 0000000..b2840eb --- /dev/null +++ b/pycomedi/test_comedi.py @@ -0,0 +1,92 @@ +#A test-application to demonstrate using the Comedilib API +# and streaming acquisition in particular, from Python. +#This script is completely untested! +# author bryan.cole@teraview.co.uk + +#set the paths so python can find the comedi module +import sys, os, string +sys.path.append('./build/lib.linux-i686-2.2') + +import comedi as c + +#open a comedi device +dev=c.comedi_open('/dev/comedi0') +if not dev: raise Exception, "Error openning Comedi device" + +#get a file-descriptor for use later +fd = c.comedi_fileno(dev) + +nscans=100 #specify total number of scans +#1000 +#three lists containing the chans, gains and referencing +#the lists must all have the same length +chans=[0,2,3] +gains=[1,1,1] +aref =[c.AREF_GROUND, c.AREF_GROUND, c.AREF_GROUND] + +nchans = len(chans) #number of channels + +#wrappers include a "chanlist" object (just an Unsigned Int array) for holding the chanlist information +mylist = c.chanlist(nchans) #create a chanlist of length nchans + +#now pack the channel, gain and reference information into the chanlist object +#N.B. the CR_PACK and other comedi macros are now python functions +for index in range(nchans): + mylist[index]=c.cr_pack(chans[index], gains[index], aref[index]) + +#construct a comedi command manually +cmd = c.comedi_cmd_struct() +cmd.subdev = 0 +cmd.flags = 0 +cmd.start_src = c.TRIG_NOW +cmd.sart_arg = 0 +cmd.scan_begin_src = c.TRIG_TIMER +cmd.scan_begin_arg = int(1.0e9/100000) +cmd.convert_src = c.TRIG_TIMER +cmd.convert_arg = 1 +cmd.scan_end_src = c.TRIG_COUNT +cmd.scan_end_arg = nchans +cmd.stop_src = c.TRIG_COUNT +cmd.stop_arg = nscans +cmd.chanlist = mylist +cmd.chanlist_len = nchans + +#test our comedi command a few times. +ret = c.comedi_command_test(dev,cmd) +print "first cmd test returns ", ret +ret = c.comedi_command_test(dev,cmd) +print "second test returns ", ret +ret = c.comedi_command_test(dev,cmd) +if ret: raise Exception, "Error %d testing comedi command" % ret + +#execute the command! +ret = c.comedi_command(dev,cmd) + +#I think this will work but it's completely untested! +datalist=[] +buffersize=1000 # max bytes to acquire per read attempt +data=os.read(fd, buffersize) +while len(data)>0: + print "read %d bytes" % len(data) + datalist.append(data) + data=os.read(fd, buffersize) +if len(datalist) == 0 : + raise Exeption, "Didn't get any data..." + +ret = c.comedi_close(dev) + +print datalist +datastr = string.join(datalist,'') + +print datastr #heres your data, as a single string! + +#if you've got Numeric installed you can convert data into a flat Numpy array +# with: +# dataarray = Numeric.fromstring(data, Int16) +try : + import numpy + dataarray = numpy.fromstring(data, dtype=numpy.int16) + print "size: ", dataarray.size + print dataarray +except ImportError : + print "Install numpy to read the data into Python" diff --git a/pycomedi/zero_initial.py b/pycomedi/zero_initial.py new file mode 100755 index 0000000..a0abd55 --- /dev/null +++ b/pycomedi/zero_initial.py @@ -0,0 +1,14 @@ +#!/usr/bin/python + +from scipy.io import read_array, write_array +import sys + +data = read_array(sys.argv[1]) #, atype='Integer' numpy.typecodes + +start_vals = data[0] +for point in data : + x = point-start_vals + for val in x : + print val, "\t", + print "" +