def setValue(self, valueKey, values):
if len(values) == 1 and type(values[0]) == type(''):
value = values[0]
if not self.parent.patt['emptyline'].search(value):
if valueKey == 'num':
self.num = returnInt(value)
elif valueKey == 'assignment':
assignment = value.strip()
self.assign = assignment.split(self.parent.assignSep)
elif self.intensity == None and valueKey in ('dataHeight',
'height'):
self.intensity = returnFloat(value)
elif valueKey == 'fitHeight':
self.intensityFit = returnFloat(value)
elif valueKey == 'intensity':
self.intensity = returnFloat(value)
elif valueKey == 'volume':
(volume, volumeMethod) = value.strip().split()
self.volume = returnFloat(volume)
if volumeMethod == 'ga':
self.volumeMethod = 'Gaussian'
elif volumeMethod == 'lo':
self.volumeMethod = 'Lorentzian'
elif volumeMethod == 'bx':
self.volumeMethod = 'Sum over box'
elif volumeMethod == 'el':
self.volumeMethod = 'Sum over ellipse'
elif volumeMethod == '--':
self.volumeMethod = 'Unknown method'
else:
self.volumeMethod = 'Unknown method'
print " Error: unknown volume method %s in sparky peaks file (please define)." % volumeMethod
elif len(values) >= 1:
if valueKey == 'freqDimsPpm':
self.ppm = returnFloats(values)
elif valueKey == 'freqDimsHz':
self.hz = returnFloats(values)
elif valueKey == 'freqDimsWidth':
self.widths = returnFloats(values[:-1])
else:
print " Warning: empty data field for Sparky peak file."
pass
def checkLinePattern(self, line):
if string.find(line, 'coefficients') != -1:
cols = string.split(line)
self.coeffs = returnFloats(cols[1:])
return -1
return 1
def setOtherData(self, weight, peakNum, peakVol, ppms):
if weight != None:
self.weight = returnFloat(weight)
else:
self.weight = None
self.peakNum = returnInt(peakNum)
self.peakVol = returnFloat(peakVol)
self.ppms = returnFloats(ppms)
def __init__(self,
numPoints,
numPointsOrig,
valuePerPoint,
nucleus,
phase=None):
self.numPoints = returnInt(numPoints)
self.numPointsOrig = returnInt(numPointsOrig)
self.valuePerPoint = returnFloat(valuePerPoint)
self.nucleus = nucleus
if phase:
self.phase = returnFloats(phase)
else:
self.phase = 2 * [0.0]
def __init__(self, num, deleted, ppm, volume, assignResNum, assignRes,
assignAtom, ndim, specName):
self.num = returnInt(num)
self.deleted = returnInt(deleted)
self.volume = returnFloat(volume)
self.specName = (string.strip(specName))[:12]
self.ppm = returnFloats(ppm)
self.assignRes = []
self.assignAtom = []
self.assignResNum = []
for i in range(0, ndim):
self.assignResNum.append(string.strip(assignResNum[i]))
self.assignRes.append(string.strip(assignRes[i]))
self.assignAtom.append(string.strip(assignAtom[i]))
def setDataTypes(self):
self.numPoints = returnInt(self.numPoints)
self.numPointsOrig = returnInt(self.numPointsOrig)
self.valuePerPoint = returnFloat(self.valuePerPoint)
self.phase = returnFloats(self.phase)
def read(self, isOutputFile=False, headerCols=None, verbose=0):
#
# TODO TODO also need a 'readFinal' one to read the FINAL information!!
# set a flag in MonteFormat.py to select which cs info to read...
"""
The first column in any data entry is a peak identification number. This is a four
digit number with one decimal place. The last digit may be incremented, for example,
to indicated a single parent amide resonance that may give rise to more than one
carbon or proton cross peaks, i.e. from minor protein conformations or overlapping
resonance signals.
The second entry is an optional comment of up to eight characters. If there is a
number in this field, the software will assume that this is a tentative assignment.
This number is not used in the Monte Carlo protocol; however, is carried over to the
output files. Using this field to add/change tentative assignment is useful in
comparing output from multiple Monte runs.
Subsequent entries in each row are chemical shift frequencies and may be separated by
spaces or comas. The first and second columns must contain the parent amide nitrogen
and amide proton shifts, in either order (defined by the .par file). The following
chemical shifts may be in any order, but must be consistent throughout the table. The
order is user defined in the .par file. (see section on Parameter File)
Any chemical shifts at the very end of the list may be left blank if the shift is
unknown. However, a unknown chemical shift field positioned within a series of known
shifts must be entered 0.00 to hold its place (see example peak 101.0 above, no shift
is identified with the intra residue CA).
"""
if verbose == 1:
print "Reading %s chemical shift list %s" % (self.format,
self.name)
fin = open(self.name, 'rU')
line = fin.readline()
spinSystemId = 0
resLabel = oldResLabel = None
while line:
if self.patt['%sComment' % self.format].search(line):
if not isOutputFile and not self.chemShifts and not headerCols:
#
# Get atom info from first line...
#
headerCols = line.split()
headerCols.pop(0)
line = fin.readline()
continue
if self.patt['emptyline'].search(line):
line = fin.readline()
continue
#
# Make sure header info is available - otherwise no point
#
if not headerCols:
raise "Error: no header column information available. Try reading .par file!"
return
#
# Get the info... should really come for .par file!!
#
cols = line.split()
infoCode = None
if not isOutputFile:
stripId = returnFloat(cols.pop(0))
#
# NOt necessarily info string available...
#
if self.patt['onlyFloat'].search(cols[0]):
seqCode = None
resLabel = None
else:
assignment = cols.pop(0)
searchAssignment = self.patt[
'%sAssignment' % self.format].search(assignment)
resLabel = searchAssignment.group(1)
seqCode = searchAssignment.group(2)
else:
seqCode = cols.pop(0)
if seqCode[-1] in '+':
seqCode = seqCode[:-1]
infoCode = seqCode[-1]
oldResLabel = resLabel
resLabel = cols.pop(0)
stripId = returnFloat(cols.pop(0))
voidCol = cols.pop(0)
#
# Set up info for atoms...
#
if not seqCode or seqCode == '?':
seqCode = None
spinSystemId = spinSystemId + 2
else:
seqCode = returnInt(seqCode)
if len(cols) == 1:
cols = cols.split(',')
values = returnFloats(cols)
for i in range(0, len(values)):
atomId = headerCols[i]
value = values[i]
if value == 0.0:
continue
atomSearch = self.patt['%sAtomInfo' %
self.format].search(atomId)
atomName = atomSearch.group(1)
atomPlace = atomSearch.group(2)
if atomName == 'HA1':
nextAtomValue = values[i + 1]
if nextAtomValue == 0.00:
atomName = 'HA'
curSeqCode = seqCode
curResLabel = None
if seqCode == None:
curSpinSystemId = spinSystemId
prevSpinSystemId = spinSystemId - 1
else:
curSpinSystemId = None
prevSpinSystemId = None
if atomPlace == '(i-1)' or atomPlace == '-1':
if seqCode != None:
curSeqCode = seqCode - 1
else:
curSpinSystemId = spinSystemId - 1
prevSpinSystemId = None
if not isOutputFile:
curResLabel = resLabel
else:
curResLabel = oldResLabel
elif isOutputFile:
curResLabel = resLabel
self.chemShifts.append(
MonteChemShift(value,
atomName,
curSeqCode,
curSpinSystemId,
stripId,
curResLabel,
self.defaultMolCode,
infoCode=infoCode,
prevSpinSystemId=prevSpinSystemId))
line = fin.readline()
fin.close()
def read(self, verbose=0, expname='unknown'):
if verbose == 1:
print "Reading Varian acquisition parameters file %s" % self.name
# For reading: Varian parameter stored format is made up of 3 OR MORE lines!
# See VarianPar class definition for more detailed info.
fin = open(self.name, 'rU')
line = fin.readline()
while line:
# Checking of empty lines and hashes not really necessary, but left in just in case
if not (self.patt['emptyline'].search(line)
or self.patt['hash'].search(line)):
cols = line.split()
if len(cols) != 11:
print " ERROR: %s Varian procpar has wrong number of fields on following line:" % expname + self.newline + line
elif self.parameters.has_key(cols[0]):
print("Reoccuring parameter name: %s" %
cols[0]) + self.newline
else:
parname = cols[0]
self.parameters[parname] = VarianAcqPar(
parname, cols[1], cols[2], cols[3], cols[4], cols[5],
cols[6], cols[7], cols[8], cols[9])
self.parameters[parname].addHelp(self.parHelp, verbose)
# Read values (LINE 2)
line = fin.readline()
cols = line.split()
value_len = returnInt(cols[0])
if self.parameters[parname].basictype == 1:
# Case real data type
self.parameters[parname].addvalues(
expname, value_len, returnFloats(cols[1:]))
elif self.parameters[parname].basictype == 2:
# Case string data type
values = []
values.append(joinUnquote(cols[1:], '"'))
# For multiple line string data, read other lines
for value_num in range(1, value_len):
# Read values
line = fin.readline()
cols = line.split()
values.append(joinUnquote(cols, '"'))
self.parameters[parname].addvalues(
expname, value_len, values)
else:
# Case undefined data type
print " ERROR: %s Varian procpar has undefined basic data type. Check parameter %s." % (
expname, parname)
# Read enumerations (LAST LINE)
line = fin.readline()
cols = line.split()
enum_len = returnInt(cols[0])
if enum_len == 0:
self.parameters[parname].addenum(expname, enum_len, '')
else:
self.parameters[parname].addenum(
expname, enum_len, unquote(cols[1:], '"'))
line = fin.readline()
def read(self, verbose=False, maxNum=999, ignoreResNames=None):
"""
MD of 2 waters, t= 0.0
6
1WATER OW1 1 0.126 1.624 1.679 0.1227 -0.0580 0.0434
1WATER HW2 2 0.190 1.661 1.747 0.8085 0.3191 -0.7791
1WATER HW3 3 0.177 1.568 1.613 -0.9045 -2.6469 1.3180
2WATER OW1 4 1.275 0.053 0.622 0.2519 0.3140 -0.1734
2WATER HW2 5 1.337 0.002 0.680 -1.0641 -1.1349 0.0257
2WATER HW3 6 1.326 0.120 0.568 1.9427 -0.8216 -0.0244
1.82060 1.82060 1.82060
Lines contain the following information (top to bottom):
title string (free format string, optional time in ps after 't=')
number of atoms (free format integer)
one line for each atom (fixed format, see below)
box vectors (free format, space separated reals), values: v1(x) v2(y) v3(z) v1(y) v1(z) v2(x) v2(z) v3(x) v3(y), the last 6 values may be omitted (they will be set to zero). Gromacs only supports boxes with v1(y)=v1(z)=v2(z)=0.
This format is fixed, ie. all columns are in a fixed position. Optionally (for now only yet with trjconv) you can write gro files with any number of decimal places, the format will then be n+5 positions with n decimal places (n+1 for velocities) in stead of 8 with 3 (with 4 for velocities). Upon reading, the precision will be inferred from the distance between the decimal points (which will be n+5). Columns contain the following information (from left to right):
residue number (5 positions, integer)
residue name (5 characters)
atom name (5 characters)
atom number (5 positions, integer)
position (in nm, x y z in 3 columns, each 8 positions with 3 decimal places)
velocity (in nm/ps (or km/s), x y z in 3 columns, each 8 positions with 4 decimal places)
Note that separate molecules or ions (e.g. water or Cl-) are regarded as residues. If you want to write such a file in your own program without using the GROMACS libraries you can use the following formats:
C format
"%5d%5s%5s%5d%8.3f%8.3f%8.3f%8.4f%8.4f%8.4f"
Fortran format
(i5,2a5,i5,3f8.3,3f8.4)
"""
if verbose:
print "Reading %s coordinate file %s" % (self.format, self.name)
if not ignoreResNames:
ignoreResNames = ('SOL', )
#
# Read coordinates and other info
#
currentChainCode = None
oldResNum = None
fin = open(self.name, 'rU')
lines = fin.readlines()
fin.close()
self.title = lines[0]
self.numAtoms = returnInt(lines[1])
self.boxCoords = returnFloats(lines[-1].split())
modelNum = 1
self.modelCoordinates[modelNum] = []
for line in lines[2:-1]:
resNum = returnInt(line[:5])
resName = line[5:10].strip()
atomName = line[10:15].strip()
atomSerial = returnInt(line[15:20])
# Don't read solvent by default, can be changed...
if resName in ignoreResNames:
continue
coordAndVelocities = line[20:].split()
(x, y, z) = returnFloats(coordAndVelocities[:3])
if len(coordAndVelocities) > 3:
velocities = returnFloats(coordAndVelocities[3:])
else:
velocities = []
# Initialise this at start of file reading
if currentChainCode == None:
currentChainCode = self.chainCodes[0]
oldResNum = resNum
self.chains.append(GromosChain(currentChainCode))
# New chain code if residue number jump
if resNum < oldResNum or oldResNum + 1 < resNum:
currentChainCode = self.chainCodes[
self.chainCodes.index(currentChainCode) + 1]
oldResNum = resNum
self.chains.append(GromosChain(currentChainCode))
self.modelCoordinates[modelNum].append(
GromosCoordinate(atomSerial,
atomName,
resName,
currentChainCode,
resNum,
x,
y,
z,
velocities=velocities))
oldResNum = resNum
fin.close()
def read(self, verbose=0):
if verbose == 1:
print "Reading Bruker acquisition parameters file %s" % self.name
# For reading: based on ##
# If value between <> or non-numeric characters (except point): is string
# If value numeric: float if contains '.'
# integer if no '.'
# (data type doesn't matter for python comparisons (5 == 5.0))
fin = open(self.name, 'rU')
line = fin.readline()
while line:
#
# Checking of empty lines not really necessary, but left in just in case
#
if not (self.patt['emptyline'].search(line)):
cols = line.split()
if self.patt[self.format + 'StartDoubleHashDollar'].search(
cols[0]):
#
# This is a variable
#
parname = self.patt[self.format +
'StartDoubleHashDollar'].sub(
'', cols[0])
parname = parname.replace('=', '')
self.parameters[parname] = BrukerPar(parname)
#self.parameters[parname].addHelp(self.parHelp,verbose)
# Handle value(s): is or are always in list
valuestring = ' '.join(cols[1:])
values = []
valueCount = 1
# Is an array? Indicated by (n..m) search above
if self.patt[self.format +
'BracketsListIndicator'].search(valuestring):
# Values can start IMMEDIATELY after right bracket! Split accordingly
if self.patt[self.format +
'BracketCloseNumber'].search(valuestring):
(listinfo, line) = valuestring.split(')')
else:
listinfo = valuestring
line = ''
# For info on list, get rid of brackets and split on '..', find value_len
listinfo = self.patt['bracketEither'].sub('', listinfo)
(listStart, listEnd) = returnInts(listinfo.split('..'))
valueLen = listEnd - listStart + 1
# Report error if valueMin not zero!!
if listStart != 0:
print "Error: Bruker array starts at non-zero for %s!" % parname
# Start parsing list values here. If they were behind the right bracket,
# the string containing them is the current line.
# LISTS LIKE THIS ARE ALWAYS CONSIDERED FLOAT DATE TYPE!
valueType = 'float'
valueCount = 0
while 1 == 1:
# Always check if this line doesn't have '##'
if self.patt[self.format +
'StartDoubleHash'].search(line):
print "Parsing error:%s" % line + self.newline
cols = line.split()
values.extend(returnFloats(cols))
valueCount += len(cols)
if valueCount < valueLen:
line = fin.readline()
else:
break
# Is a text value (between <>)? If so, need to find matching '>',
# since this can be multi-line.
elif self.patt[self.format +
'SharpBracketOpen'].search(valuestring):
while not self.patt[self.format +
'SharpBracketClose'].search(
valuestring):
line = fin.readline()
# Always check if this line doesn't have '##'
if self.patt[self.format +
'StartDoubleHash'].search(line):
print "Parsing error:%s" % line
line = line.rstrip()
valuestring += line
valuestring = self.patt[self.format +
'SharpBracketEither'].sub(
'', valuestring)
values.append(self.patt[self.format +
'FinalReturn'].sub(
'', valuestring))
valueType = 'string'
# Is a number
elif self.patt[self.format +
'DigitDotDigit'].search(valuestring):
# Is a float
if self.patt[self.format + 'Dot'].search(valuestring):
valueType = 'float'
values.append(returnFloat(valuestring))
# Is an integer
else:
valueType = 'int'
values.append(returnInt(valuestring))
# Is a string (unquoted)
else:
valueType = 'string'
values.append(valuestring)
# Add value to parameter
self.parameters[parname].addValues(valueCount, values)
self.parameters[parname].addType(valueType)
self.parameters[parname].addHelp(self.parHelp, verbose)
elif self.patt[self.format + 'StartDoubleDollar'].search(
cols[0]):
# This is a date line or the original file name with path
self.infoStrings.append(line[3:].strip())
elif self.patt[self.format + 'StartDoubleHash'].search(
cols[0]):
# General information about parameter file
pass
else:
print "Error: undefined basic data line:%s" % line + self.newline
line = fin.readline()
