def loadLocalAdjust(self, localAdjustList, forceupdate=list()):
channelCount = self.hardware.channelCount if self.hardware else 0
for index, record in enumerate(localAdjustList):
path = record.path
if index in forceupdate or record.solutionPath != record.path:
if os.path.exists(path):
linelist = list()
itf = itfParser()
itf.eMapFilePath = self.mappingpath
itf.open(path)
for _ in range(itf.getNumLines()):
line = itf.eMapReadLine()
for index, value in enumerate(line):
if math.isnan(value): line[index] = 0
line = numpy.append(line, [0.0] *
max(0, channelCount - len(line)))
linelist.append(line)
itf.close()
record.solution = linelist
record.solutionPath = path
else:
logging.getLogger(__name__).warning(
"Local Adjust file '{0}' not found".format(path))
if self.electrodes:
self.dataChanged.emit(0, 0, len(self.electrodes) - 1, 3)
self.localAdjustVoltages = localAdjustList
def __init__(self, globalDict, dacController):
logger = logging.getLogger(__name__)
super(VoltageBlender, self).__init__()
self.dacController = dacController
if hardwareObjName==FPGAObjName and hardwareDict:
self.hardware = FPGAHardware(self.dacController)
elif hardwareObjName==NIObjName and hardwareDict:
self.hardware = NIHardware()
else:
self.hardware = NoneHardware()
self.itf = itfParser()
self.lines = list() # a list of lines with numpy arrays
self.adjustDict = SequenceDict() # names of the lines presented as possible adjusts
self.adjustLines = []
self.lineGain = 1.0
self.globalGain = 1.0
self.lineno = 0
self.mappingpath = None
self.outputVoltage = None
self.electrodes = None
self.aoNums = None
self.dsubNums = None
self.tableHeader = list()
self.globalDict = globalDict
self.adjustGain = 1.0
self.localAdjustVoltages = list()
self.uploadedDataHash = None
def __init__(self, globalDict, dacController):
logger = logging.getLogger(__name__)
super(VoltageBlender, self).__init__()
self.dacController = dacController
if hardwareObjName == FPGAObjName and hardwareDict:
self.hardware = FPGAHardware(self.dacController)
elif hardwareObjName == NIObjName and hardwareDict:
self.hardware = NIHardware()
else:
self.hardware = NoneHardware()
self.itf = itfParser()
self.lines = list() # a list of lines with numpy arrays
self.adjustDict = SequenceDict(
) # names of the lines presented as possible adjusts
self.adjustLines = []
self.lineGain = 1.0
self.globalGain = 1.0
self.lineno = 0
self.mappingpath = None
self.outputVoltage = None
self.electrodes = None
self.aoNums = None
self.dsubNums = None
self.tableHeader = list()
self.globalDict = globalDict
self.adjustGain = 1.0
self.localAdjustVoltages = list()
self.uploadedDataHash = None
def loadGlobalAdjust(self, path):
channelCount = self.hardware.channelCount if self.hardware else 0
self.adjustLines = list()
self.adjustDict = SequenceDict()
itf = itfParser()
itf.eMapFilePath = self.mappingpath
itf.open(path)
for _ in range(itf.getNumLines()):
line = itf.eMapReadLine()
for index, value in enumerate(line):
if math.isnan(value): line[index]=0
line = numpy.append( line, [0.0]*max(0, channelCount-len(line)))
self.adjustLines.append( line )
for name, value in itf.meta.items():
try:
if int(value)<len(self.adjustLines):
self.adjustDict[name] = AdjustValue(name=name, line=int(value), globalDict=self.globalDict)
except ValueError:
pass # if it's not an int we will ignore it here
itf.close()
self.dataChanged.emit(0, 0, len(self.electrodes)-1, 3)
def loadGlobalAdjust(self, path):
channelCount = self.hardware.channelCount if self.hardware else 0
self.adjustLines = list()
self.adjustDict = SequenceDict()
itf = itfParser()
itf.eMapFilePath = self.mappingpath
itf.open(path)
for _ in range(itf.getNumLines()):
line = itf.eMapReadLine()
for index, value in enumerate(line):
if math.isnan(value): line[index] = 0
line = numpy.append(line, [0.0] * max(0, channelCount - len(line)))
self.adjustLines.append(line)
for name, value in itf.meta.items():
try:
if int(value) < len(self.adjustLines):
self.adjustDict[name] = AdjustValue(
name=name, line=int(value), globalDict=self.globalDict)
except ValueError:
pass # if it's not an int we will ignore it here
itf.close()
self.dataChanged.emit(0, 0, len(self.electrodes) - 1, 3)
def loadLocalAdjust(self, localAdjustList, forceupdate=list() ):
channelCount = self.hardware.channelCount if self.hardware else 0
for index, record in enumerate(localAdjustList):
path = record.path
if index in forceupdate or record.solutionPath != record.path:
if os.path.exists(path):
linelist = list()
itf = itfParser()
itf.eMapFilePath = self.mappingpath
itf.open(path)
for _ in range(itf.getNumLines()):
line = itf.eMapReadLine()
for index, value in enumerate(line):
if math.isnan(value): line[index]=0
line = numpy.append( line, [0.0]*max(0, channelCount-len(line)))
linelist.append( line )
itf.close()
record.solution = linelist
record.solutionPath = path
else:
logging.getLogger(__name__).warning("Local Adjust file '{0}' not found".format(path))
if self.electrodes:
self.dataChanged.emit(0, 0, len(self.electrodes)-1, 3)
self.localAdjustVoltages = localAdjustList
# *****************************************************************
# IonControl: Copyright 2016 Sandia Corporation
# This Software is released under the GPL license detailed
# in the file "license.txt" in the top-level IonControl directory
# *****************************************************************
from Chassis.itfParser import itfParser
sinPath ='../config/SineWave.itf'
testPath = '../config/voltage_test.itf'
itf = itfParser()
itf.eMapFilePath = '../config/test_map.txt'
itf.open(testPath)
for i in range(itf.getNumLines()):
data= itf.eMapReadLine()
print(data)
itf.close()
# Test the ability to read a specified line.
itf= None
itf = itfParser()
itf.eMapFilePath = '../config/test_map.txt'
itf.open(sinPath)
data = itf.eMapReadLine(0)
print(data)
data = itf.eMapReadLine(5)
print(data)
data = itf.eMapReadLine(0)
import numpy
from Chassis.itfParser import itfParser
def deleteIfExists(filePath):
directory = os.getcwd()
for item in os.listdir(directory):
if item == filepath:
os.remove(filepath)
break
filepath = 'example.itf'
deleteIfExists(filepath)
test = itfParser()
for j in range(9):
test.open(filepath)
for i in range(9):
data = 'test{0}{1}'
test.appendline([data.format(j, i), data.format(j, i + 1)])
test.close()
filepath = 'numpyExample.itf'
deleteIfExists(filepath)
test = itfParser()
data = numpy.linspace(1, 10, 10)
test.open(filepath)
for i in range(9):
test.appendline(data)
test.close()
import numpy
from Chassis.itfParser import itfParser
def deleteIfExists(filePath):
directory = os.getcwd()
for item in os.listdir(directory):
if item == filepath:
os.remove(filepath)
break
filepath = 'example.itf'
deleteIfExists(filepath)
test = itfParser()
for j in range(9):
test.open(filepath)
for i in range(9):
data = 'test{0}{1}'
test.appendline([data.format(j, i), data.format(j, i+1)])
test.close()
filepath = 'numpyExample.itf'
deleteIfExists(filepath)
test = itfParser()
data = numpy.linspace(1, 10, 10)
test.open(filepath)
for i in range(9):
test.appendline(data)
test.close()
from Chassis.itfParser import itfParser
sinPath ='../config/SineWave.itf'
testPath = '../config/voltage_test.itf'
itf = itfParser()
itf.eMapFilePath = '../config/thunderbird_map.txt'
itf.open(testPath)
for i in range(itf.getNumLines()):
data= itf.eMapReadLine()
print(data)
itf.close()
# Test the ability to read a specified line.
itf= None
itf = itfParser()
itf.eMapFilePath = '../config/thunderbird_map.txt'
itf.open(sinPath)
data = itf.eMapReadLine(0)
print(data)
data = itf.eMapReadLine(5)
print(data)
data = itf.eMapReadLine(0)
print(data)
itf.close()
# Test ReadLines
itf = None
