| 1 | #!@PYTHON@
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| 2 |
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| 3 | # Boxmaker 1.0
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| 4 | # Creates tremolo-datafiles with arbitrary size and specific density from a single input molecule,
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| 5 | # supporting numerous pre- and postprocessing features such as unit conversion.
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| 6 | # Gregor Bollerhey - bollerhe@ins.uni-bonn.de
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| 7 |
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| 8 |
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| 9 | import re, os, os.path, sys, operator
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| 10 |
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| 11 | avogadro = 6.022143e23
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| 12 |
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| 13 | class c_opt():
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| 14 | basename = None
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| 15 | tremofiledir = './'
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| 16 | potentialsfiledir = './'
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| 17 | outfilename = 'out'
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| 18 |
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| 19 | source = None
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| 20 | molarmass = None
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| 21 | density = None
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| 22 | temp = None
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| 23 |
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| 24 | number = '1000'
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| 25 |
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| 26 | cubicdomain = 'on'
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| 27 | cubiccell = 'off'
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| 28 | autorotate = 'off'
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| 29 | autodim = 'on'
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| 30 | postprocess = 'on'
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| 31 | automass = 'on'
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| 32 |
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| 33 | def update(self, name, value):
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| 34 | shortcuts = {'tf': 'temofiledir', 'pf': 'potentialsfiledir', 'o': 'outfilename',
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| 35 | 'i': 'source', 'm': 'molarmass', 'rho': 'density',
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| 36 | 't': 'temp', 'n': 'number', 'cd': 'cubicdomain',
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| 37 | 'cc': 'cubiccell', 'ar': 'autorotate', 'ad': 'autodim',
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| 38 | 'pp': 'postprocess', 'am': 'automass'}
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| 39 |
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| 40 | if name in shortcuts:
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| 41 | name = shortcuts[name]
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| 42 |
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| 43 | if name in dir(self):
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| 44 | exec('self.%s = "%s"' % (name, value))
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| 45 | else:
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| 46 | print 'Warning: Unknown option:', name
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| 47 |
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| 48 |
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| 49 | def ReadSettings(opt):
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| 50 | # Obtain basename
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| 51 | if len(sys.argv) >= 2:
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| 52 | opt.basename = sys.argv[1]
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| 53 | else:
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| 54 | print 'Usage: boxmaker.py <basename> [options]'
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| 55 | exit()
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| 56 |
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| 57 | # Read settings file
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| 58 | try:
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| 59 | with open('boxmaker.' + opt.basename) as f:
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| 60 | for line in f:
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| 61 | if len(line) > 0 and line[0] != '#':
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| 62 | L, S, R = line.partition('=')
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| 63 | opt.update(L.strip(), R.strip())
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| 64 | except IOError:
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| 65 | print 'Warning: Configuration file not readable, CLI only'
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| 66 |
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| 67 | # Parse parameters
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| 68 | i = 2
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| 69 | while i < len(sys.argv):
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| 70 | L = sys.argv[i]
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| 71 |
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| 72 | if L[0] in '+-':
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| 73 | LN = L[1:]
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| 74 |
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| 75 | if L[0] == '+':
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| 76 | R = 'on'
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| 77 | else:
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| 78 | R = 'off'
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| 79 | else:
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| 80 | LN = L
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| 81 | i += 1
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| 82 | R = sys.argv[i]
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| 83 |
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| 84 | opt.update(LN, R)
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| 85 | i += 1
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| 86 |
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| 87 |
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| 88 | def ReadUnits(opt):
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| 89 | lines = [] # The file needs to be processed twice, so we save the lines in the first run
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| 90 |
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| 91 | with open(opt.tremofiledir + opt.basename + '.tremolo') as f:
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| 92 | for line in f:
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| 93 | if len(line) > 0 and line[0] != '#':
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| 94 | line = line.strip()
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| 95 | lines.append(line)
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| 96 |
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| 97 | if 'systemofunits' in line:
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| 98 | L, S, SOU = line.partition('=')
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| 99 | SOU = SOU.strip()[:-1] # Remove semicolon
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| 100 |
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| 101 | if SOU == 'custom':
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| 102 | units = {}
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| 103 | quantities = ['length', 'mass', 'temperature']
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| 104 |
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| 105 | for quantity in quantities:
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| 106 | units[quantity] = [None, None] # Init with scaling factor and unit 'None'.
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| 107 |
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| 108 | for line in lines:
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| 109 | for quantity in quantities:
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| 110 | if quantity in line:
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| 111 | L, S, R = line.partition('=')
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| 112 | R = R.strip()[:-1] # Remove semicolon
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| 113 |
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| 114 | if 'scalingfactor' in line:
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| 115 | units[quantity][0] = float(R)
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| 116 | else:
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| 117 | units[quantity][1] = R
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| 118 |
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| 119 | elif SOU == 'kcalpermole':
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| 120 | units = {'length': [1.0, 'angstrom'], 'mass': [1.0, 'u'], 'temperature': [503.556, 'K']}
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| 121 |
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| 122 | elif SOU == 'evolt':
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| 123 | units = {'length': [1.0, 'angstrom'], 'mass': [1.0, 'u'], 'temperature': [11604.0, 'K']}
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| 124 |
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| 125 | else: # SI
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| 126 | units = {'length': [1.0, 'm'], 'mass': [1.0, 'kg'], 'temperature': [1.0, 'K']}
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| 127 |
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| 128 | return units
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| 129 |
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| 130 |
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| 131 | def ConvertUnits(have, want):
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| 132 | if have[0] == '!':
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| 133 | return float(have[1:])
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| 134 |
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| 135 | # Redo with pipes?
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| 136 | ret = os.system("units '%s' '%s' > temp_units_output" % (have, want))
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| 137 |
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| 138 | if ret == 0:
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| 139 | with open('temp_units_output') as f:
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| 140 | line = f.readline()
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| 141 |
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| 142 | os.system('rm temp_units_output')
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| 143 |
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| 144 | return float(line[3:-1])
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| 145 | else:
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| 146 | raise NameError('UnitError')
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| 147 |
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| 148 |
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| 149 | def GetSourceMolareMass(opt):
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| 150 | with open(opt.potentialsfiledir+opt.basename+'.potentials') as f:
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| 151 | potfile = f.read()
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| 152 |
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| 153 | elementmasses = dict(re.findall(r'element_name=(\w{1,2}).*?mass=([0-9.]*)', potfile))
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| 154 |
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| 155 | for key in elementmasses:
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| 156 | elementmasses[key] = float(elementmasses[key])
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| 157 |
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| 158 | mass_sum = 0.0
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| 159 |
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| 160 | with open('temp_source.xyz') as f:
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| 161 | N = int(f.readline())
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| 162 | comment = f.readline()
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| 163 |
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| 164 | for i in range(N):
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| 165 | elem = f.readline().split(None, 1)[0].strip()
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| 166 | mass_sum += elementmasses[elem]
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| 167 |
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| 168 | return mass_sum*avogadro
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| 169 |
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| 170 |
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| 171 | def UpdateSettingsAndSource(opt):
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| 172 | # Map boolean values
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| 173 | boolmap = {'on': True, 'off': False}
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| 174 |
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| 175 | for name in ['cubicdomain', 'cubiccell', 'autorotate', 'autodim', 'postprocess', 'automass']:
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| 176 | value = eval('opt.' + name)
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| 177 |
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| 178 | if value in boolmap:
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| 179 | value = boolmap[value]
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| 180 | else:
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| 181 | print 'Not a boolean value:', value
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| 182 | exit()
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| 183 |
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| 184 | exec('opt.' + name + '= value')
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| 185 |
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| 186 | # Convert dimensions
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| 187 | if opt.autodim:
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| 188 | units = ReadUnits(opt)
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| 189 |
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| 190 | if not opt.automass:
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| 191 | have = opt.molarmass
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| 192 | want = '%f*%s / mol' % tuple(units['mass'])
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| 193 | opt.molarmass = ConvertUnits(have, want)
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| 194 |
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| 195 | have = opt.density
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| 196 | want = '(%f*%s) ' % tuple(units['mass']) + '/ (%f*%s)**3' % tuple(units['length'])
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| 197 | opt.density = ConvertUnits(have, want)
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| 198 |
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| 199 | if opt.temp:
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| 200 | have = opt.temp
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| 201 | want = '%f*%s' % tuple(units['temperature'])
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| 202 | opt.temp = ConvertUnits(have, want)
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| 203 | else:
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| 204 | if not opt.automass:
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| 205 | opt.molarmass = float(opt.molarmass)
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| 206 |
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| 207 | opt.density = float(opt.density)
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| 208 |
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| 209 | if opt.temp:
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| 210 | opt.temp = float(opt.temp)
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| 211 |
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| 212 | # Number might be an integer or a 3-vector
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| 213 | nvec = opt.number.split()
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| 214 | if len(nvec) == 3:
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| 215 | opt.number = [0]*3
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| 216 |
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| 217 | for i in range(3):
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| 218 | opt.number[i] = int(nvec[i])
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| 219 | else:
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| 220 | opt.number = int(opt.number)
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| 221 |
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| 222 | UpdateSource(opt)
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| 223 |
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| 224 | # Automatic source mass
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| 225 | if opt.automass:
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| 226 | opt.molarmass = GetSourceMolareMass(opt)
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| 227 | print '======== MOLAR MASS:', opt.molarmass
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| 228 |
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| 229 |
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| 230 | def FindBestCube(opt):
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| 231 | newroot = int( round(opt.number**(1./3)) )
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| 232 | newnumber = newroot**3
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| 233 |
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| 234 | if newnumber != opt.number:
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| 235 | print 'Warning: Number changed to %d.' % newnumber
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| 236 |
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| 237 | return [newroot] * 3
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| 238 |
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| 239 |
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| 240 | def FindBestCuboid(opt):
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| 241 | n = opt.number
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| 242 |
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| 243 | # Prime factors of n
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| 244 | factors = []
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| 245 |
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| 246 | for i in [2, 3]:
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| 247 | while n % i == 0:
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| 248 | factors.append(i)
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| 249 | n /= 2
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| 250 |
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| 251 | t = 5
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| 252 | diff = 2
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| 253 |
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| 254 | while t*t <= n:
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| 255 | while n % t == 0:
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| 256 | factors.append(t)
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| 257 | n /= t
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| 258 |
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| 259 | t = t + diff
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| 260 | diff = 6 - diff
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| 261 |
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| 262 | if n > 1:
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| 263 | factors.append(n)
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| 264 |
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| 265 | # Even distribution of current biggest prime to each vector -> similar sizes
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| 266 | if len(factors) < 3:
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| 267 | print 'Warning: Not enough prime factors - falling back to cubic placement'
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| 268 | return FindBestCube(opt)
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| 269 |
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| 270 | factors.sort()
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| 271 | distri = [[],[],[]]
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| 272 | current = 0
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| 273 |
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| 274 | for factor in factors:
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| 275 | distri[current].append(factor)
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| 276 | current += 1
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| 277 | if current == 3:
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| 278 | current = 0
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| 279 |
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| 280 | result = [0]*3
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| 281 |
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| 282 | print '======== CUBOID USED:',
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| 283 |
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| 284 | for i in range(3):
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| 285 | result[i] = int( reduce(operator.mul, distri[i]) )
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| 286 |
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| 287 | print result
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| 288 | return result
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| 289 |
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| 290 |
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| 291 | def GetSourceBBabs(opt):
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| 292 | bbmax = [0.0]*3
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| 293 | bbmin = [float('inf')]*3
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| 294 |
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| 295 | s_name_ext = os.path.basename(opt.source).rsplit('.', 1)
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| 296 | s_namepart = s_name_ext[0]
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| 297 |
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| 298 | if len(s_name_ext) > 1:
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| 299 | s_ext = s_name_ext[1]
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| 300 | else:
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| 301 | s_ext = ''
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| 302 |
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| 303 | # Calculate bounding box from xyz-file
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| 304 | with open('temp_source.xyz') as f:
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| 305 | N = int(f.readline())
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| 306 | comment = f.readline()
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| 307 |
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| 308 | for i in xrange(N):
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| 309 | buf = f.readline()
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| 310 | xyz = buf.split()[1:]
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| 311 |
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| 312 | for i in range(3):
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| 313 | bbmax[i] = max(bbmax[i], float(xyz[i]))
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| 314 | bbmin[i] = min(bbmin[i], float(xyz[i]))
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| 315 |
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| 316 | bb = [0.0]*3
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| 317 |
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| 318 | for i in range(3):
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| 319 | bb[i] = abs(bbmax[i] - bbmin[i])
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| 320 |
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| 321 | return bb
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| 322 |
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| 323 |
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| 324 | def UpdateSource(opt):
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| 325 | potfilepath = opt.potentialsfiledir + opt.basename + '.potentials'
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| 326 |
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| 327 | cmd = 'molecuilder -o xyz tremolo --parse-tremolo-potentials %s -i temp_source.xyz -l %s' % (potfilepath, opt.source)
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| 328 |
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| 329 | if opt.autorotate:
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| 330 | cmd += ' --select-all-atoms --rotate-to-principal-axis-system "0, 1, 0"'
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| 331 |
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| 332 | os.system(cmd)
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| 333 |
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| 334 | opt.source = 'temp_source.data'
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| 335 |
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| 336 |
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| 337 | # Global options with sensible default parameters
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| 338 | opt = c_opt()
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| 339 |
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| 340 | ReadSettings(opt)
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| 341 | UpdateSettingsAndSource(opt)
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| 342 |
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| 343 | if type(opt.number) == type([]):
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| 344 | # Number is a vector - use it without any modification
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| 345 | nbox = opt.number
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| 346 | else:
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| 347 | if opt.cubicdomain:
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| 348 | nbox = FindBestCube(opt)
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| 349 | else:
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| 350 | nbox = FindBestCuboid(opt)
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| 351 |
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| 352 | VolumePerMolecule = opt.molarmass / (avogadro * opt.density)
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| 353 | cell = [VolumePerMolecule**(1./3)] * 3
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| 354 |
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| 355 | if not opt.cubiccell:
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| 356 | try:
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| 357 | bb = GetSourceBBabs(opt)
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| 358 | print '======== BBOX:', bb
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| 359 | # Scaling factor - the molecules bounding box is scaled to fit the volume suiting the density
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| 360 | s = (VolumePerMolecule / (bb[0]*bb[1]*bb[2])) ** (1./3)
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| 361 |
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| 362 | if s < 1:
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| 363 | print 'Warning: Molecular cells will overlap.'
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| 364 |
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| 365 | for i in range(3):
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| 366 | cell[i] = bb[i]*s
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| 367 | except ZeroDivisionError:
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| 368 | print 'Warning: Singularity in bounding box, falling back to cubic cell.'
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| 369 |
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| 370 |
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| 371 | print '======== CELL: ', cell
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| 372 |
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| 373 | import pyMoleCuilder as mol
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| 374 | mol.CommandVerbose('0')
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| 375 | mol.ParserParseTremoloPotentials(opt.potentialsfiledir + opt.basename + '.potentials')
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| 376 | mol.WorldInput(opt.source)
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| 377 | mol.WorldCenterInBox('%f 0 0 %f 0 %f' % tuple(cell))
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| 378 | mol.WorldRepeatBox('%d %d %d' % tuple(nbox))
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| 379 | mol.WorldOutput(opt.outfilename + '.data')
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| 380 | mol.WorldOutput(opt.outfilename + '.xyz')
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| 381 |
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| 382 | domain = [0.0]*3
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| 383 |
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| 384 | for i in range(3):
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| 385 | domain[i] = cell[i]*nbox[i]
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| 386 |
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| 387 | print '======== DOMAIN: ', domain
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| 388 |
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| 389 | # Postprocessing
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| 390 |
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| 391 | if opt.postprocess:
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| 392 | with open(opt.outfilename + '.data') as f:
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| 393 | ofile = f.read()
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| 394 |
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| 395 | with open(opt.outfilename + '.data', 'w') as f:
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| 396 | f.write('# INPUTCONV shift center\n')
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| 397 |
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| 398 | if opt.temp:
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| 399 | f.write('# INPUTCONV temp %.4f\n' % opt.temp)
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| 400 |
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| 401 | f.write(ofile)
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| 402 |
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| 403 | os.system('rm temp_source.data temp_source.xyz')
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