802 lines
29 KiB
Python
802 lines
29 KiB
Python
import os
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import shutil
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import sys
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import textwrap
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from typing import Dict, List, TextIO
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import yaml
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from diceplayer.DPpack.Environment.Atom import Atom
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from diceplayer.DPpack.Environment.Molecule import Molecule
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from diceplayer.DPpack.Environment.System import System
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from diceplayer.DPpack.External.Dice import Dice
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from diceplayer.DPpack.External.Gaussian import Gaussian
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from diceplayer.DPpack.Utils.Misc import *
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from diceplayer.DPpack.Utils.PTable import *
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from diceplayer.DPpack.Utils.StepDTO import StepDTO
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from diceplayer.DPpack.Utils.Validations import NotNull
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env = ["OMP_STACKSIZE"]
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class Player:
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maxcyc = None
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opt = None
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nprocs = None
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qmprog = None
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lps = None
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ghosts = None
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altsteps = None
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combrule = None
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switchcyc = 3
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maxstep = 0.3
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freq = "no"
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readhessian = "no"
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vdwforces = "no"
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tol_factor = 1.2
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TOL_RMS_FORCE = 3e-4
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TOL_MAX_FORCE = 4.5e-4
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TOL_RMS_STEP = 1.2e-3
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TOL_MAX_SET = 1.8e-3
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TRUST_RADIUS = None
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continued: bool = False
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def __init__(self, infile: TextIO, outfile: TextIO) -> None:
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self.infile = infile
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self.outfile = outfile
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self.system = System()
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self.dice = Dice(infile, outfile)
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self.dice_keywords = [
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a
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for a in dir(self.dice)
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if not a.startswith("__") and not callable(getattr(self.dice, a))
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]
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self.gaussian = Gaussian()
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self.gaussian_keywords = [
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a
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for a in dir(self.gaussian)
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if not a.startswith("__") and not callable(getattr(self.gaussian, a))
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]
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@NotNull(
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requiredArgs=["maxcyc", "opt", "nprocs", "qmprog", "altsteps"]
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)
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def updateKeywords(self, **data):
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self.__dict__.update(**data)
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def read_keywords(self) -> None:
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with self.infile as f:
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data = yaml.load(f, Loader=yaml.SafeLoader)
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self.updateKeywords(**data.get("diceplayer"))
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self.dice.updateKeywords(**data.get("dice"))
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self.gaussian.updateKeywords(**data.get("gaussian"))
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def check_keywords(self) -> None:
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min_steps = 20000
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if self.dice.ljname == None:
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sys.exit(
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"Error: 'ljname' keyword not specified in file {}".format(self.infile)
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)
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if self.dice.outname == None:
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sys.exit(
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"Error: 'outname' keyword not specified in file {}".format(self.infile)
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)
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if self.dice.dens == None:
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sys.exit(
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"Error: 'dens' keyword not specified in file {}".format(self.infile)
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)
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if self.dice.nmol == 0:
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sys.exit(
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"Error: 'nmol' keyword not defined appropriately in file {}".format(
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self.infile
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)
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)
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if self.dice.nstep == 0:
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sys.exit(
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"Error: 'nstep' keyword not defined appropriately in file {}".format(
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self.infile
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)
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)
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# Check only if QM program is Gaussian:
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if self.qmprog in ("g03", "g09", "g16"):
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if self.gaussian.level == None:
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sys.exit(
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"Error: 'level' keyword not specified in file {}".format(
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self.infile
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)
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)
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if self.gaussian.gmiddle != None:
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if not os.path.isfile(self.gaussian.gmiddle):
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sys.exit("Error: file {} not found".format(self.gaussian.gmiddle))
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if self.gaussian.gbottom != None:
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if not os.path.isfile(self.gaussian.gbottom):
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sys.exit("Error: file {} not found".format(self.gaussian.gbottom))
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if self.gaussian.pop != "chelpg" and (
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self.ghosts == "yes" or self.lps == "yes"
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):
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sys.exit(
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"Error: ghost atoms or lone pairs only available with 'pop = chelpg')"
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)
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# Check only if QM program is Molcas:
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# if self.qmprog == "molcas":
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# if self.molcas.mbottom == None:
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# sys.exit("Error: 'mbottom' keyword not specified in file {}".format(self.infile))
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# else:
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# if not os.path.isfile(self.molcas.mbottom):
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# sys.exit("Error: file {} not found".format(self.molcas.mbottom))
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# if self.molcas.basis == None:
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# sys.exit("Error: 'basis' keyword not specified in file {}".format(self.infile))
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if self.altsteps != 0:
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# Verifica se tem mais de 1 molecula QM
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# (No futuro usar o RMSD fit para poder substituir todas as moleculas QM
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# no arquivo outname.xy - Need to change the __make_init_file!!)
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if self.dice.nmol[0] > 1:
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sys.exit(
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"Error: altsteps > 0 only possible with 1 QM molecule (nmol = 1 n2 n3 n4)"
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)
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# if not zero, altsteps cannot be less than min_steps
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self.altsteps = max(min_steps, self.altsteps)
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# altsteps value is always the nearest multiple of 1000
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self.altsteps = round(self.altsteps / 1000) * 1000
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for i in range(len(self.dice.nstep)):
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# nstep can never be less than min_steps
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self.dice.nstep[i] = max(min_steps, self.dice.nstep[i])
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# nstep values are always the nearest multiple of 1000
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self.dice.nstep[i] = round(self.dice.nstep[i] / 1000) * 1000
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# isave must be between 100 and 2000
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self.dice.isave = max(100, self.dice.isave)
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self.dice.isave = min(2000, self.dice.isave)
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# isave value is always the nearest multiple of 100
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self.dice.isave = round(self.dice.isave / 100) * 100
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def print_keywords(self) -> None:
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self.outfile.write(
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"##########################################################################################\n"
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"############# Welcome to DICEPLAYER version 1.0 #############\n"
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"##########################################################################################\n"
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"\n"
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)
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self.outfile.write("Your python version is {}\n".format(sys.version))
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self.outfile.write("\n")
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self.outfile.write("Program started on {}\n".format(weekday_date_time()))
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self.outfile.write("\n")
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self.outfile.write("Environment variables:\n")
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for var in env:
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self.outfile.write(
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"{} = {}\n".format(
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var, (os.environ[var] if var in os.environ else "Not set")
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)
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)
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self.outfile.write(
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"\n==========================================================================================\n"
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" CONTROL variables being used in this run:\n"
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"------------------------------------------------------------------------------------------\n"
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"\n"
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)
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self.outfile.write("\n")
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self.outfile.write(
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"------------------------------------------------------------------------------------------\n"
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" DICE variables being used in this run:\n"
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"------------------------------------------------------------------------------------------\n"
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"\n"
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)
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for key in sorted(self.dice_keywords):
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if getattr(self.dice, key) != None:
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if isinstance(getattr(self.dice, key), list):
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string = " ".join(str(x) for x in getattr(self.dice, key))
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self.outfile.write("{} = {}\n".format(key, string))
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else:
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self.outfile.write("{} = {}\n".format(key, getattr(self.dice, key)))
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self.outfile.write("\n")
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if self.qmprog in ("g03", "g09", "g16"):
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self.outfile.write(
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"------------------------------------------------------------------------------------------\n"
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" GAUSSIAN variables being used in this run:\n"
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"------------------------------------------------------------------------------------------\n"
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"\n"
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)
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for key in sorted(self.gaussian_keywords):
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if getattr(self.gaussian, key) != None:
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if isinstance(getattr(self.gaussian, key), list):
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string = " ".join(str(x) for x in getattr(self.gaussian, key))
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self.outfile.write("{} = {}\n".format(key, string))
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else:
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self.outfile.write(
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"{} = {}\n".format(key, getattr(self.gaussian, key))
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)
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self.outfile.write("\n")
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# elif self.qmprog == "molcas":
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# self.outfile.write("------------------------------------------------------------------------------------------\n"
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# " MOLCAS variables being used in this run:\n"
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# "------------------------------------------------------------------------------------------\n"
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# "\n")
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# for key in sorted(molcas):
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# if molcas[key] != None:
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# if isinstance(molcas[key], list):
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# string = " ".join(str(x) for x in molcas[key])
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# self.outfile.write("{} = {}\n".format(key, string))
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# else:
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# self.outfile.write("{} = {}\n".format(key, molcas[key]))
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# self.outfile.write("\n")
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def read_potential(self) -> None: # Deve ser atualizado para o uso de
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try:
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with open(self.dice.ljname) as file:
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ljfile = file.readlines()
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except EnvironmentError as err:
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sys.exit(err)
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combrule = ljfile.pop(0).split()[0]
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if combrule not in ("*", "+"):
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sys.exit(
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"Error: expected a '*' or a '+' sign in 1st line of file {}".format(
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self.dice.ljname
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)
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)
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self.dice.combrule = combrule
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ntypes = ljfile.pop(0).split()[0]
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if not ntypes.isdigit():
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sys.exit(
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"Error: expected an integer in the 2nd line of file {}".format(
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self.dice.ljname
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)
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)
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ntypes = int(ntypes)
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if ntypes != len(self.dice.nmol):
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sys.exit(
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"Error: number of molecule types in file {} must match that of 'nmol' keyword in file {}".format(
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self.dice.ljname, self.infile
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)
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)
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line = 2
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for i in range(ntypes):
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line += 1
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nsites, molname = ljfile.pop(0).split()[:2]
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if not nsites.isdigit():
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sys.exit(
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"Error: expected an integer in line {} of file {}".format(
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line, self.dice.ljname
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)
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)
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if molname is None:
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sys.exit(
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"Error: expected a molecule name in line {} of file {}".format(
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line, self.dice.ljname
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)
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)
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nsites = int(nsites)
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self.system.add_type(nsites, Molecule(molname))
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for j in range(nsites):
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line += 1
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new_atom = ljfile.pop(0).split()
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if len(new_atom) < 8:
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sys.exit(
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"Error: expected at least 8 fields in line {} of file {}".format(
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line, self.dice.ljname
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)
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)
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if not new_atom[0].isdigit():
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sys.exit(
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"Error: expected an integer in field 1, line {} of file {}".format(
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line, self.dice.ljname
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)
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)
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lbl = int(new_atom[0])
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if not new_atom[1].isdigit():
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sys.exit(
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"Error: expected an integer in field 2, line {} of file {}".format(
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line, self.dice.ljname
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)
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)
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atnumber = int(new_atom[1])
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if (
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atnumber == ghost_number and i == 0
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): # Ghost atom not allowed in the QM molecule
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sys.exit(
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"Error: found a ghost atom in line {} of file {}".format(
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line, self.dice.ljname
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)
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)
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na = atnumber
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try:
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rx = float(new_atom[2])
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except:
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sys.exit(
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"Error: expected a float in field 3, line {} of file {}".format(
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line, self.dice.ljname
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)
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)
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try:
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ry = float(new_atom[3])
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except:
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sys.exit(
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"Error: expected a float in field 4, line {} of file {}".format(
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line, self.dice.ljname
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)
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)
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try:
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rz = float(new_atom[4])
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except:
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sys.exit(
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"Error: expected a float in field 5, line {} of file {}".format(
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line, self.dice.ljname
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)
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)
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try:
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chg = float(new_atom[5])
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except:
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sys.exit(
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"Error: expected a float in field 6, line {} of file {}".format(
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line, self.dice.ljname
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)
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)
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try:
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eps = float(new_atom[6])
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except:
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sys.exit(
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"Error: expected a float in field 7, line {} of file {}".format(
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line, self.dice.ljname
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)
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)
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try:
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sig = float(new_atom[7])
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except:
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sys.exit(
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"Error: expected a float in field 8, line {} of file {}".format(
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line, self.dice.ljname
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)
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)
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mass = atommass[na]
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if len(new_atom) > 8:
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masskey, mass = new_atom[8].partition("=")[::2]
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if masskey.lower() == "mass" and len(mass) != 0:
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try:
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new_mass = float(mass)
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if new_mass > 0:
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mass = new_mass
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except:
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sys.exit(
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"Error: expected a positive float after 'mass=' in field 9, line {} of file {}".format(
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line, self.dice.ljname
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)
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)
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self.system.molecule[i].add_atom(
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Atom(lbl, na, rx, ry, rz, chg, eps, sig)
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)
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to_delete = ["lbl", "na", "rx", "ry", "rz", "chg", "eps", "sig", "mass"]
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for _var in to_delete:
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if _var in locals() or _var in globals():
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exec(f"del {_var}")
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def print_potential(self) -> None:
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formatstr = "{:<3d} {:>3d} {:>10.5f} {:>10.5f} {:>10.5f} {:>10.6f} {:>9.5f} {:>7.4f} {:>9.4f}\n"
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self.outfile.write(
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"\n"
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"==========================================================================================\n"
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)
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self.outfile.write(
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" Potential parameters from file {}:\n".format(
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self.dice.ljname
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)
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)
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self.outfile.write(
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"------------------------------------------------------------------------------------------\n"
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"\n"
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)
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self.outfile.write("Combination rule: {}\n".format(self.dice.combrule))
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self.outfile.write(
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"Types of molecules: {}\n\n".format(len(self.system.molecule))
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)
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i = 0
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for mol in self.system.molecule:
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i += 1
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self.outfile.write(
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"{} atoms in molecule type {}:\n".format(len(mol.atom), i)
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)
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self.outfile.write(
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"---------------------------------------------------------------------------------\n"
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"Lbl AN X Y Z Charge Epsilon Sigma Mass\n"
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)
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self.outfile.write(
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"---------------------------------------------------------------------------------\n"
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)
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for atom in mol.atom:
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self.outfile.write(
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formatstr.format(
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atom.lbl,
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atom.na,
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atom.rx,
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atom.ry,
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atom.rz,
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atom.chg,
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atom.eps,
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atom.sig,
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atom.mass,
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)
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)
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self.outfile.write("\n")
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if self.ghosts == "yes" or self.lps == "yes":
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self.outfile.write(
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"\n"
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"------------------------------------------------------------------------------------------\n"
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" Aditional potential parameters:\n"
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"------------------------------------------------------------------------------------------\n"
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)
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# if player['ghosts'] == "yes":
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# self.outfile.write("\n")
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# self.outfile.write("{} ghost atoms appended to molecule type 1 at:\n".format(len(ghost_types)))
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# self.outfile.write("---------------------------------------------------------------------------------\n")
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# atoms_string = ""
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# for ghost in ghost_types:
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# for atom in ghost['numbers']:
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# atom_sym = atomsymb[ molecules[0][atom - 1]['na'] ].strip()
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# atoms_string += "{}{} ".format(atom_sym,atom)
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# if ghost['type'] == "g":
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# self.outfile.write(textwrap.fill("* Geometric center of atoms {}".format(atoms_string), 80))
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# elif ghost['type'] == "m":
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# self.outfile.write(textwrap.fill("* Center of mass of atoms {}".format(atoms_string), 80))
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# elif ghost['type'] == "z":
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# self.outfile.write(textwrap.fill("* Center of atomic number of atoms {}".format(atoms_string), 80))
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# self.outfile.write("\n")
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# if player['lps'] == 'yes':
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# self.outfile.write("\n")
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# self.outfile.write("{} lone pairs appended to molecule type 1:\n".format(len(lp_types)))
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# self.outfile.write("---------------------------------------------------------------------------------\n")
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# for lp in lp_types:
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# # LP type 1 or 2
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# if lp['type'] in (1, 2):
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# atom1_num = lp['numbers'][0]
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# atom1_sym = atomsymb[ molecules[0][atom1_num - 1]['na'] ].strip()
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# atom2_num = lp['numbers'][1]
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# atom2_sym = atomsymb[ molecules[0][atom2_num - 1]['na'] ].strip()
|
|
# atom3_num = lp['numbers'][2]
|
|
# atom3_sym = atomsymb[ molecules[0][atom3_num - 1]['na'] ].strip()
|
|
|
|
# self.outfile.write(textwrap.fill(
|
|
# "* Type {} on atom {}{} with {}{} {}{}. Alpha = {:<5.1f} Deg and D = {:<4.2f} Angs".format(
|
|
# lp['type'], atom1_sym, atom1_num, atom2_sym, atom2_num, atom3_sym, atom3_num, lp['alpha'],
|
|
# lp['dist']), 86))
|
|
# self.outfile.write("\n")
|
|
|
|
# # Other LP types
|
|
|
|
self.outfile.write(
|
|
"\n"
|
|
"==========================================================================================\n"
|
|
)
|
|
|
|
def check_executables(self) -> None:
|
|
|
|
self.outfile.write("\n")
|
|
self.outfile.write(90 * "=")
|
|
self.outfile.write("\n\n")
|
|
|
|
dice_path = shutil.which(self.dice.progname)
|
|
if dice_path != None:
|
|
self.outfile.write(
|
|
"Program {} found at {}\n".format(self.dice.progname, dice_path)
|
|
)
|
|
self.dice.path = dice_path
|
|
else:
|
|
sys.exit("Error: cannot find dice executable")
|
|
|
|
qmprog_path = shutil.which(self.gaussian.qmprog)
|
|
if qmprog_path != None:
|
|
self.outfile.write(
|
|
"Program {} found at {}\n".format(self.gaussian.qmprog, qmprog_path)
|
|
)
|
|
self.gaussian.path = qmprog_path
|
|
else:
|
|
sys.exit("Error: cannot find {} executable".format(self.gaussian.qmprog))
|
|
|
|
if self.gaussian.qmprog in ("g03", "g09", "g16"):
|
|
formchk_path = shutil.which("formchk")
|
|
if formchk_path != None:
|
|
self.outfile.write("Program formchk found at {}\n".format(formchk_path))
|
|
else:
|
|
sys.exit("Error: cannot find formchk executable")
|
|
|
|
def dice_start(self, cycle: int):
|
|
|
|
self.dice.configure(
|
|
StepDTO(
|
|
initcyc=self.initcyc,
|
|
nprocs=self.nprocs,
|
|
altsteps=self.altsteps,
|
|
nmol=self.system.nmols,
|
|
molecule=self.system.molecule,
|
|
)
|
|
)
|
|
|
|
self.dice.start(cycle)
|
|
|
|
self.dice.reset()
|
|
|
|
def gaussian_start(self, cycle: int, geomsfh: TextIO):
|
|
|
|
self.gaussian.configure(
|
|
StepDTO(
|
|
initcyc=self.initcyc,
|
|
nprocs=self.nprocs,
|
|
ncores=self.dice.ncores,
|
|
altsteps=self.altsteps,
|
|
switchcyc=self.switchcyc,
|
|
opt=self.opt,
|
|
nmol=self.system.nmols,
|
|
molecule=self.system.molecule
|
|
)
|
|
)
|
|
|
|
# Make ASEC
|
|
self.outfile.write("\nBuilding the ASEC and vdW meanfields... ")
|
|
asec_charges = self.populate_asec_vdw(cycle)
|
|
|
|
step = self.gaussian.start(cycle, self.outfile, asec_charges, self.readhessian)
|
|
|
|
if self.opt:
|
|
|
|
position = step.position
|
|
|
|
## Update the geometry of the reference molecule
|
|
self.system.update_molecule(position, self.outfile)
|
|
|
|
## Print new geometry in geoms.xyz
|
|
self.system.print_geom(cycle, geomsfh)
|
|
|
|
else:
|
|
|
|
charges = step.charges
|
|
|
|
self.system.molecule[0].updateCharges(charges)
|
|
|
|
self.system.printChargesAndDipole(cycle, self.outfile)
|
|
|
|
self.gaussian.reset()
|
|
|
|
def populate_asec_vdw(self, cycle) -> List[Dict]:
|
|
|
|
# Both asec_charges and vdw_meanfield will utilize the Molecule() class and Atoms() with some None elements
|
|
|
|
asec_charges = []
|
|
|
|
if self.dice.nstep[-1] % self.dice.isave == 0:
|
|
nconfigs = round(self.dice.nstep[-1] / self.dice.isave)
|
|
else:
|
|
nconfigs = int(self.dice.nstep[-1] / self.dice.isave)
|
|
|
|
norm_factor = nconfigs * self.nprocs
|
|
|
|
nsitesref = len(self.system.molecule[0].atom)
|
|
|
|
nsites_total = self.dice.nmol[0] * nsitesref
|
|
for i in range(1, len(self.dice.nmol)):
|
|
nsites_total += self.dice.nmol[i] * len(self.system.molecule[i].atom)
|
|
|
|
thickness = []
|
|
picked_mols = []
|
|
|
|
for proc in range(1, self.nprocs + 1): # Run over folders
|
|
|
|
path = (
|
|
"simfiles"
|
|
+ os.sep
|
|
+ "step{:02d}".format(cycle)
|
|
+ os.sep
|
|
+ "p{:02d}".format(proc)
|
|
)
|
|
file = path + os.sep + self.dice.outname + ".xyz"
|
|
if not os.path.isfile(file):
|
|
sys.exit("Error: cannot find file {}".format(file))
|
|
try:
|
|
with open(file) as xyzfh:
|
|
xyzfile = xyzfh.readlines()
|
|
except:
|
|
sys.exit("Error: cannot open file {}".format(file))
|
|
|
|
for config in range(nconfigs): # Run over configs in a folder
|
|
|
|
if int(xyzfile.pop(0).split()[0]) != nsites_total:
|
|
sys.exit("Error: wrong number of sites in file {}".format(file))
|
|
|
|
box = xyzfile.pop(0).split()[-3:]
|
|
box = [float(box[0]), float(box[1]), float(box[2])]
|
|
sizes = self.system.molecule[0].sizes_of_molecule()
|
|
thickness.append(
|
|
min(
|
|
[
|
|
(box[0] - sizes[0]) / 2,
|
|
(box[1] - sizes[1]) / 2,
|
|
(box[2] - sizes[2]) / 2,
|
|
]
|
|
)
|
|
)
|
|
|
|
xyzfile = xyzfile[nsitesref:]
|
|
mol_count = 0
|
|
for type in range(len(self.dice.nmol)):
|
|
|
|
if type == 0:
|
|
nmols = self.dice.nmol[0] - 1
|
|
else:
|
|
nmols = self.dice.nmol[type]
|
|
|
|
for mol in range(nmols):
|
|
|
|
new_molecule = Molecule("ASEC TMP MOLECULE")
|
|
for site in range(len(self.system.molecule[type].atom)):
|
|
|
|
line = xyzfile.pop(0).split()
|
|
|
|
if (
|
|
line[0].title()
|
|
!= atomsymb[self.system.molecule[type].atom[site].na].strip()
|
|
):
|
|
sys.exit("Error reading file {}".format(file))
|
|
|
|
new_molecule.add_atom(
|
|
Atom(
|
|
self.system.molecule[type].atom[site].lbl,
|
|
self.system.molecule[type].atom[site].na,
|
|
float(line[1]),
|
|
float(line[2]),
|
|
float(line[3]),
|
|
self.system.molecule[type].atom[site].chg,
|
|
self.system.molecule[type].atom[site].eps,
|
|
self.system.molecule[type].atom[site].sig,
|
|
)
|
|
)
|
|
|
|
dist = self.system.molecule[0].minimum_distance(new_molecule)
|
|
if dist < thickness[-1]:
|
|
mol_count += 1
|
|
for atom in new_molecule.atom:
|
|
asec_charges.append({"lbl": atomsymb[atom.na], "rx": atom.rx, "ry": atom.ry, "rz": atom.rz, "chg": atom.chg})
|
|
|
|
# if self.vdwforces == "yes":
|
|
# vdw_meanfield[-1]["rx"] = atom["rx"]
|
|
# vdw_meanfield[-1]["ry"] = atom["ry"]
|
|
# vdw_meanfield[-1]["rz"] = atom["rz"]
|
|
# vdw_meanfield[-1]["eps"] = atom["eps"]
|
|
# vdw_meanfield[-1]["sig"] = atom["sig"]
|
|
|
|
# #### Read lines with ghosts or lps in molecules of type 0 (reference)
|
|
# #### and, if dist < thickness, appends to asec
|
|
# if type == 0:
|
|
# for ghost in ghost_atoms:
|
|
# line = xyzfile.pop(0).split()
|
|
# if line[0] != dice_ghost_label:
|
|
# sys.exit("Error reading file {}".format(file))
|
|
# if dist < thickness[-1]:
|
|
# asec_charges.append({})
|
|
# asec_charges[-1]['rx'] = float(line[1])
|
|
# asec_charges[-1]['ry'] = float(line[2])
|
|
# asec_charges[-1]['rz'] = float(line[3])
|
|
# asec_charges[-1]['chg'] = ghost['chg'] / norm_factor
|
|
|
|
# for lp in lp_atoms:
|
|
# line = xyzfile.pop(0).split()
|
|
# if line[0] != dice_ghost_label:
|
|
# sys.exit("Error reading file {}".format(file))
|
|
# if dist < thickness[-1]:
|
|
# asec_charges.append({})
|
|
# asec_charges[-1]['rx'] = float(line[1])
|
|
# asec_charges[-1]['ry'] = float(line[2])
|
|
# asec_charges[-1]['rz'] = float(line[3])
|
|
# asec_charges[-1]['chg'] = lp['chg'] / norm_factor
|
|
|
|
picked_mols.append(mol_count)
|
|
|
|
self.outfile.write("Done\n")
|
|
|
|
string = "In average, {:^7.2f} molecules ".format(
|
|
sum(picked_mols) / norm_factor
|
|
)
|
|
string += "were selected from each of the {} configurations ".format(
|
|
len(picked_mols)
|
|
)
|
|
string += (
|
|
"of the production simulations to form the ASEC, comprising a shell with "
|
|
)
|
|
string += "minimum thickness of {:>6.2f} Angstrom\n".format(
|
|
sum(thickness) / norm_factor
|
|
)
|
|
|
|
self.outfile.write(textwrap.fill(string, 86))
|
|
self.outfile.write("\n")
|
|
|
|
otherfh = open("ASEC.xyz", "w", 1)
|
|
for charge in asec_charges:
|
|
otherfh.write(
|
|
"{} {:>10.5f} {:>10.5f} {:>10.5f}\n".format(
|
|
charge['lbl'], charge['rx'], charge['ry'], charge['rz']
|
|
)
|
|
)
|
|
otherfh.close()
|
|
|
|
for charge in asec_charges:
|
|
charge['chg'] /= norm_factor
|
|
|
|
return asec_charges
|