Files
DicePlayer/diceplayer/DPpack/SetGlobals.py
Vitor Hideyoshi 2a4e9eff0c Initial Translation of Gaussian Processes and Packaging of DicePlayer python module
This commit adds the methods that were present in the Gaussian.py file into the SetGlobals.py file and packages the program into a diceplayer module so it can be ran using 'python3 -m diceplayer'

Signed-off-by: Vitor Hideyoshi <vitor.h.n.batista@gmail.com>
2021-12-06 21:20:35 -03:00

1729 lines
58 KiB
Python

import setproctitle
import os, sys
import shutil
import textwrap
import types
from numpy.core.fromnumeric import partition
from diceplayer.DPpack.MolHandling import *
from diceplayer.DPpack.PTable import *
from diceplayer.DPpack.Misc import *
from numpy import random
import subprocess
dice_end_flag = "End of simulation" ## The normal end flag
dice_flag_line = -2 ## must be in the line before the last
umaAng3_to_gcm3 = 1.6605 ## Conversion between uma/Ang3 to g/cm3
max_seed = 4294967295 ## Maximum allowed value for a seed (numpy)
class Internal:
def __init__(self, infile, outfile):
self.cyc = 1
self.infile = infile
self.outfile = outfile
self.system = System()
self.player = self.Player()
self.player_keywords = [a for a in dir(self.player) if not a.startswith('__') and not callable(getattr(self.player, a))]
self.dice = self.Dice()
self.dice_keywords = [a for a in dir(self.dice) if not a.startswith('__') and not callable(getattr(self.dice, a))]
self.gaussian = self.Gaussian()
self.gaussian_keywords = [a for a in dir(self.gaussian) if not a.startswith('__') and not callable(getattr(self.gaussian, a))]
# self.molcas = self.Molcas()
# self.molcas_keywords = [a for a in dir(self.molcas) if not a.startswith('__') and not callable(getattr(self.molcas, a))]
## Constanst that shall be set for global use
self.tol_rms_force = 3e-4 # Hartree/Bohr
self.tol_max_force = 4.5e-4 # Hartree/Bohr
self.tol_rms_step = 1.2e-3 # Bohr
self.tol_max_step = 1.8e-3 # Bohr
self.trust_radius = None
## Dice:
self.combrule = None
def read_keywords(self):
try:
controlfile = self.infile.readlines()
except EnvironmentError:
sys.exit("Error: cannot read file {}".format(self.infile))
for line in controlfile:
key, value = line.partition("=")[::2] # Discards the '='
key = key.strip().lower()
if key in ('title', 'keywords'):
value = value.strip()
else:
value = value.split()
#### Read the Diceplayer related keywords
if key in self.player_keywords and len(value) != 0: ## 'value' is not empty!
if key == 'qmprog' and value[0].lower() in ("g03", "g09", "g16", "molcas"):
setattr(self.player, key, value[0].lower())
if self.player.qmprog in ("g03","g09","g16"):
self.gaussian.qmprog = self.player.qmprog
# if self.player.qmprog == "molcas":
# pass
elif key == 'opt' and value[0].lower() in ("yes", "no", "ts"):
setattr(self.player, key, value[0].lower())
#elif key == 'zipprog' and value[0].lower() in ("zip", "gzip", "bzip"):
#player[key] = value[0].lower()
elif key in ('lps', 'ghosts') and value[0].lower() in ("yes", "no"):
setattr(self.player, key, value[0].lower())
elif key in ('readhessian', 'vdwforces') and value[0].lower() in ("yes", "no"):
setattr(self.player, key, value[0].lower())
elif key in ('maxcyc', 'nprocs', 'altsteps', 'switchcyc'):
err = "Error: expected a positive integer for keyword {} in file {}".format(key, self.infile)
try:
new_value = int(value[0])
if new_value >= 1:
setattr(self.player, key, new_value)
elif key == 'altsteps' and new_value == 0:
setattr(self.player, key, 0)
except ValueError:
sys.exit(err)
elif key == 'maxstep': # Cannot be less than 0.01
err = "Error: expected a float greater than 0.01 for keyword {} in file {}".format(key, self.infile)
try:
new_value = float(value[0])
if new_value < 0.01:
sys.exit(err)
else:
setattr(self.player, key, new_value)
except ValueError:
sys.exit(err)
#### Read the Dice related keywords
elif key in self.dice_keywords and len(value) != 0: ## 'value' is not empty!
if key == 'title':
setattr(self.dice, key, value)
elif key in ('ljname', 'outname', 'progname'):
setattr(self.dice, key, value[0])
elif key == 'randominit':
if value in ('always','first'):
setattr(self.dice,key,value[0])
elif key in ('ncores', 'isave'):
err = "Error: expected a positive integer for keyword {} in file {}".format(key, self.infile)
if not value[0].isdigit():
sys.exit(err)
new_value = int(value[0])
if new_value >= 1:
setattr(self.dice, key, new_value)
elif key in ('temp', 'press', 'dens'): # Cannot be less than 1e-10
err = "Error: expected a positive float for keyword {} in file {}".format(key, self.infile)
try:
new_value = float(value[0])
if new_value < 1e-10:
sys.exit(err)
else:
setattr(self.dice, key, new_value)
except ValueError:
sys.exit(err)
elif key == 'nmol': # If defined, must be well defined (only positive integer values)
err = "Error: expected 1 to 4 positive integers for keyword {} in file {}".format(key, self.infile)
args = min(4, len(value))
for i in range(args):
if value[i].isdigit():
new_value = int(value[i])
if new_value < 1:
sys.exit(err)
else:
getattr(self.dice, key).append(new_value)
elif i == 0:
sys.exit(err)
else:
break
elif key == 'nstep': # If defined, must be well defined (only positive integer values)
err = "Error: expected 2 or 3 positive integers for keyword {} in file {}".format(key, self.infile)
if len(value) < 2:
sys.exit(err)
args = min(3, len(value))
for i in range(args):
if value[i].isdigit():
new_value = int(value[i])
if new_value < 1:
sys.exit(err)
else:
getattr(self.dice, key).append(new_value)
elif i < 2:
sys.exit(err)
else:
break
#### Read the Gaussian related keywords
elif key in self.gaussian_keywords and len(value) != 0: ## 'value' is not empty!
if key == 'mem': # Memory in MB (minimum of 100)
err = "Error: expected a positive integer for keyword {} in file {}".format(key, self.infile)
if not value[0].isdigit():
sys.exit(err)
new_value = int(value[0])
if new_value >= 100:
setattr(self.gaussian, key, new_value)
elif key == 'keywords':
setattr(self.gaussian, key, value)
elif key == 'chgmult': # If defined, must be well defined (2 integer values)
err = "Error: expected 2 integers for keyword {} in file {}".format(key, self.infile)
if len(value) < 2:
sys.exit(err)
for i in range (2):
try:
getattr(self.gaussian, key)[i] = int(value[i])
except ValueError:
sys.exit(err)
elif key == 'level':
setattr(self.gaussian, key, value[0])
elif key in ('gmiddle', 'gbottom'):
setattr(self.gaussian, key, value[0])
elif key == 'pop' and value[0].lower() in ("chelpg", "mk", "nbo"):
setattr(self.gaussian, key, value[0].lower())
# #### Read the Molcas related keywords
# elif key in self.molcas_keywords and len(value) != 0: ## 'value' is not empty!
# if key == 'root': # If defined, must be well defined (only positive integer values)
# err = "Error: expected a positive integer for keyword {} in file {}".format(key, self.infile)
# if not value[0].isdigit():
# sys.exit(err)
# new_value = int(value[0])
# if new_value >= 1:
# setattr(self.molcas, key, new_value)
# elif key in ('mbottom', 'orbfile'):
# setattr(self.molcas, key, value[0])
# elif key == 'basis':
# setattr(self.molcas ,key, value[0])
# #### End
def check_keywords(self):
min_steps = 20000
if self.dice.ljname == None:
sys.exit("Error: 'ljname' keyword not specified in file {}".format(self.infile))
if self.dice.outname == None:
sys.exit("Error: 'outname' keyword not specified in file {}".format(self.infile))
if self.dice.dens == None:
sys.exit("Error: 'dens' keyword not specified in file {}".format(self.infile))
if self.dice.nmol == 0:
sys.exit("Error: 'nmol' keyword not defined appropriately in file {}".format(self.infile))
if self.dice.nstep == 0:
sys.exit("Error: 'nstep' keyword not defined appropriately in file {}".format(self.infile))
## Check only if QM program is Gaussian:
if self.player.qmprog in ("g03", "g09", "g16"):
if self.gaussian.level == None:
sys.exit("Error: 'level' keyword not specified in file {}".format(self.infile))
if self.gaussian.gmiddle != None:
if not os.path.isfile(self.gaussian.gmiddle):
sys.exit("Error: file {} not found".format(self.gaussian.gmiddle))
if self.gaussian.gbottom != None:
if not os.path.isfile(self.gaussian.gbottom):
sys.exit("Error: file {} not found".format(self.gaussian.gbottom))
if self.gaussian.pop != "chelpg" and (self.player.ghosts == "yes" or self.player.lps == "yes"):
sys.exit("Error: ghost atoms or lone pairs only available with 'pop = chelpg')")
## Check only if QM program is Molcas:
# if self.player.qmprog == "molcas":
# if self.molcas.mbottom == None:
# sys.exit("Error: 'mbottom' keyword not specified in file {}".format(self.infile))
# else:
# if not os.path.isfile(self.molcas.mbottom):
# sys.exit("Error: file {} not found".format(self.molcas.mbottom))
# if self.molcas.basis == None:
# sys.exit("Error: 'basis' keyword not specified in file {}".format(self.infile))
if self.player.altsteps != 0:
### Verifica se tem mais de 1 molecula QM
### (No futuro usar o RMSD fit para poder substituir todas as moleculas QM
### no arquivo outname.xy - Need to change the make_init_file!!)
if self.dice.nmol[0] > 1:
sys.exit("Error: altsteps > 0 only possible with 1 QM molecule (nmol = 1 n2 n3 n4)")
# if not zero, altsteps cannot be less than min_steps
self.player.altsteps = max(min_steps, self.player.altsteps)
# altsteps value is always the nearest multiple of 1000
self.player.altsteps = round(self.player.altsteps / 1000) * 1000
for i in range(len(self.dice.nstep)):
# nstep can never be less than min_steps
self.dice.nstep[i] = max(min_steps, self.dice.nstep[i])
# nstep values are always the nearest multiple of 1000
self.dice.nstep[i] = round(self.dice.nstep[i] / 1000) * 1000
# isave must be between 100 and 2000
self.dice.isave = max(100, self.dice.isave)
self.dice.isave = min(2000, self.dice.isave)
# isave value is always the nearest multiple of 100
self.dice.isave = round(self.dice.isave / 100) * 100
def print_keywords(self):
self.outfile.write("##########################################################################################\n"
"############# Welcome to DICEPLAYER version 1.0 #############\n"
"##########################################################################################\n"
"\n")
self.outfile.write("Your python version is {}\n".format(sys.version))
self.outfile.write("\n")
self.outfile.write("Program started on {}\n".format(weekday_date_time()))
self.outfile.write("\n")
self.outfile.write("Environment variables:\n")
for var in env:
self.outfile.write("{} = {}\n".format(var,
(os.environ[var] if var in os.environ else "Not set")))
self.outfile.write("\n==========================================================================================\n"
" CONTROL variables being used in this run:\n"
"------------------------------------------------------------------------------------------\n"
"\n")
for key in sorted(self.player_keywords):
if getattr(self.player,key) != None:
if isinstance(getattr(self.player,key), list):
string = " ".join(str(x) for x in getattr(self.player,key))
self.outfile.write("{} = {}\n".format(key, string))
else:
self.outfile.write("{} = {}\n".format(key, getattr(self.player,key)))
self.outfile.write("\n")
self.outfile.write("------------------------------------------------------------------------------------------\n"
" DICE variables being used in this run:\n"
"------------------------------------------------------------------------------------------\n"
"\n")
for key in sorted(self.dice_keywords):
if getattr(self.dice,key) != None:
if isinstance(getattr(self.dice,key), list):
string = " ".join(str(x) for x in getattr(self.dice,key))
self.outfile.write("{} = {}\n".format(key, string))
else:
self.outfile.write("{} = {}\n".format(key, getattr(self.dice,key)))
self.outfile.write("\n")
if self.player.qmprog in ("g03", "g09", "g16"):
self.outfile.write("------------------------------------------------------------------------------------------\n"
" GAUSSIAN variables being used in this run:\n"
"------------------------------------------------------------------------------------------\n"
"\n")
for key in sorted(self.gaussian_keywords):
if getattr(self.gaussian,key) != None:
if isinstance(getattr(self.gaussian,key), list):
string = " ".join(str(x) for x in getattr(self.gaussian,key))
self.outfile.write("{} = {}\n".format(key, string))
else:
self.outfile.write("{} = {}\n".format(key, getattr(self.gaussian,key)))
self.outfile.write("\n")
# elif self.player.qmprog == "molcas":
# self.outfile.write("------------------------------------------------------------------------------------------\n"
# " MOLCAS variables being used in this run:\n"
# "------------------------------------------------------------------------------------------\n"
# "\n")
# for key in sorted(molcas):
# if molcas[key] != None:
# if isinstance(molcas[key], list):
# string = " ".join(str(x) for x in molcas[key])
# self.outfile.write("{} = {}\n".format(key, string))
# else:
# self.outfile.write("{} = {}\n".format(key, molcas[key]))
# self.outfile.write("\n")
def read_potential(self): # Deve ser atualizado para o uso de
try:
with open(self.dice.ljname) as file:
ljfile = file.readlines()
except EnvironmentError as err:
sys.exit(err)
combrule = ljfile.pop(0).split()[0]
if combrule not in ("*", "+"):
sys.exit("Error: expected a '*' or a '+' sign in 1st line of file {}".format(self.dice.ljname))
self.dice.combrule = combrule
ntypes = ljfile.pop(0).split()[0]
if not ntypes.isdigit():
sys.exit("Error: expected an integer in the 2nd line of file {}".format(self.dice.ljname))
ntypes = int(ntypes)
if ntypes != len(self.dice.nmol):
sys.exit("Error: number of molecule types in file {} must match that of 'nmol' keyword in file {}".format(
self.dice.ljname, self.infile))
line = 2
for i in range(ntypes):
line += 1
nsites, molname = ljfile.pop(0).split()[:2]
if not nsites.isdigit():
sys.exit("Error: expected an integer in line {} of file {}".format(line, self.dice.ljname))
if molname is None:
sys.exit("Error: expected a molecule name in line {} of file {}".format(line, self.dice.ljname))
nsites = int(nsites)
self.system.add_type(nsites, Molecule(molname))
for j in range(nsites):
line += 1
new_atom = ljfile.pop(0).split()
if len(new_atom) < 8:
sys.exit("Error: expected at least 8 fields in line {} of file {}".format(line, self.dice.ljname))
if not new_atom[0].isdigit():
sys.exit("Error: expected an integer in field 1, line {} of file {}".format(line, self.dice.ljname))
lbl = int(new_atom[0])
if not new_atom[1].isdigit():
sys.exit("Error: expected an integer in field 2, line {} of file {}".format(line, self.dice.ljname))
atnumber = int(new_atom[1])
if atnumber == ghost_number and i == 0: # Ghost atom not allowed in the QM molecule
sys.exit("Error: found a ghost atom in line {} of file {}".format(line, self.dice.ljname))
na = atnumber
try:
rx = float(new_atom[2])
except:
sys.exit("Error: expected a float in field 3, line {} of file {}".format(line, self.dice.ljname))
try:
ry = float(new_atom[3])
except:
sys.exit("Error: expected a float in field 4, line {} of file {}".format(line, self.dice.ljname))
try:
rz = float(new_atom[4])
except:
sys.exit("Error: expected a float in field 5, line {} of file {}".format(line, self.dice.ljname))
try:
chg = float(new_atom[5])
except:
sys.exit("Error: expected a float in field 6, line {} of file {}".format(line, self.dice.ljname))
try:
eps = float(new_atom[6])
except:
sys.exit("Error: expected a float in field 7, line {} of file {}".format(line, self.dice.ljname))
try:
sig = float(new_atom[7])
except:
sys.exit("Error: expected a float in field 8, line {} of file {}".format(line, self.dice.ljname))
mass = atommass[na]
if len(new_atom) > 8:
masskey, mass = new_atom[8].partition("=")[::2]
if masskey.lower() == 'mass' and len(mass) !=0:
try:
new_mass = float(mass)
if new_mass > 0:
mass = new_mass
except:
sys.exit(
"Error: expected a positive float after 'mass=' in field 9, line {} of file {}".format(
line, self.dice.ljname))
self.system.molecule[i].add_atom(Atom(lbl,na,rx,ry,rz,chg,eps,sig))
to_delete = ['lbl','na','rx','ry','rz','chg','eps','sig','mass']
for _var in to_delete:
if _var in locals() or _var in globals():
exec(f'del {_var}')
def print_potential(self):
formatstr = "{:<3d} {:>3d} {:>10.5f} {:>10.5f} {:>10.5f} {:>10.6f} {:>9.5f} {:>7.4f} {:>9.4f}\n"
self.outfile.write("\n"
"==========================================================================================\n")
self.outfile.write(" Potential parameters from file {}:\n".format(self.dice.ljname))
self.outfile.write("------------------------------------------------------------------------------------------\n"
"\n")
self.outfile.write("Combination rule: {}\n".format(self.dice.combrule))
self.outfile.write("Types of molecules: {}\n\n".format(len(self.system.molecule)))
i = 0
for mol in self.system.molecule:
i += 1
self.outfile.write("{} atoms in molecule type {}:\n".format(len(mol.atom), i))
self.outfile.write("---------------------------------------------------------------------------------\n"
"Lbl AN X Y Z Charge Epsilon Sigma Mass\n")
self.outfile.write("---------------------------------------------------------------------------------\n")
for atom in mol.atom:
self.outfile.write(formatstr.format(atom.lbl, atom.na, atom.rx, atom.ry, atom.rz,
atom.chg, atom.eps, atom.sig, atom.mass))
self.outfile.write("\n")
if self.player.ghosts == "yes" or self.player.lps == "yes":
self.outfile.write("\n"
"------------------------------------------------------------------------------------------\n"
" Aditional potential parameters:\n"
"------------------------------------------------------------------------------------------\n")
# if player['ghosts'] == "yes":
# self.outfile.write("\n")
# self.outfile.write("{} ghost atoms appended to molecule type 1 at:\n".format(len(ghost_types)))
# self.outfile.write("---------------------------------------------------------------------------------\n")
# atoms_string = ""
# for ghost in ghost_types:
# for atom in ghost['numbers']:
# atom_sym = atomsymb[ molecules[0][atom - 1]['na'] ].strip()
# atoms_string += "{}{} ".format(atom_sym,atom)
# if ghost['type'] == "g":
# self.outfile.write(textwrap.fill("* Geometric center of atoms {}".format(atoms_string), 80))
# elif ghost['type'] == "m":
# self.outfile.write(textwrap.fill("* Center of mass of atoms {}".format(atoms_string), 80))
# elif ghost['type'] == "z":
# self.outfile.write(textwrap.fill("* Center of atomic number of atoms {}".format(atoms_string), 80))
# self.outfile.write("\n")
# if player['lps'] == 'yes':
# self.outfile.write("\n")
# self.outfile.write("{} lone pairs appended to molecule type 1:\n".format(len(lp_types)))
# self.outfile.write("---------------------------------------------------------------------------------\n")
# for lp in lp_types:
# # LP type 1 or 2
# if lp['type'] in (1, 2):
# atom1_num = lp['numbers'][0]
# atom1_sym = atomsymb[ molecules[0][atom1_num - 1]['na'] ].strip()
# atom2_num = lp['numbers'][1]
# 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):
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 calculate_step(self):
invhessian = linalg.inv(self.system.molecule[0].hessian)
pre_step = -1 * np.matmul(invhessian, self.system.molecule[0].gradient.T).T
maxstep = np.amax(np.absolute(pre_step))
factor = min(1, self.player.maxstep/maxstep)
step = factor * pre_step
self.player.outfile.write("\nCalculated step:\n")
pre_step_list = pre_step.tolist()
self.player.outfile.write("-----------------------------------------------------------------------\n"
"Center Atomic Step (Bohr)\n"
"Number Number X Y Z\n"
"-----------------------------------------------------------------------\n")
for i in range(len(self.system.molecule[0].atom)):
self.player.outfile.write(" {:>5d} {:>3d} {:>14.9f} {:>14.9f} {:>14.9f}\n".format(
i + 1, self.system.molecule[0].atom[i].na,
pre_step_list.pop(0), pre_step_list.pop(0), pre_step_list.pop(0)))
self.player.outfile.write("-----------------------------------------------------------------------\n")
self.player.outfile.write("Maximum step is {:>11.6}\n".format(maxstep))
self.player.outfile.write("Scaling factor = {:>6.4f}\n".format(factor))
self.player.outfile.write("\nFinal step (Bohr):\n")
step_list = step.tolist()
self.player.outfile.write("-----------------------------------------------------------------------\n"
"Center Atomic Step (Bohr)\n"
"Number Number X Y Z\n"
"-----------------------------------------------------------------------\n")
for i in range(len(self.system.molecule[0].atom)):
self.player.outfile.write(" {:>5d} {:>3d} {:>14.9f} {:>14.9f} {:>14.9f}\n".format(
i + 1, self.system.molecule[0].atom[i].na,
step_list.pop(0), step_list.pop(0), step_list.pop(0)))
self.player.outfile.write("-----------------------------------------------------------------------\n")
step_max = np.amax(np.absolute(step))
step_rms = np.sqrt(np.mean(np.square(step)))
self.player.outfile.write(" Max Step = {:>14.9f} RMS Step = {:>14.9f}\n\n".format(
step_max, step_rms))
return step
def read_initial_cicle(self):
try:
with open(self.infile) as self.outfile:
controlfile = self.outfile.readlines()
except EnvironmentError:
sys.exit("Error: cannot open file {}".format(self.infile))
for line in controlfile:
pass
### I still have to talk with Herbet about this function
def populate_asec_vdw(self, cycle):
## Both asec_charges and vdw_meanfield will utilize the Molecule() class and Atoms() with some None elements
asec_charges = Molecule() # (lbl=None, na=None, rx, ry, rz, chg, eps=None, sig=None)
vdw_meanfield = Molecule() # (lbl=None, na=None, rx, ry, rz, chg=None, eps, sig)
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.player.nprocs
nsitesref = len(self.system.molecule[0].atom) + len(self.system.molecule[0].ghost_atoms) + len(self.system.molecule[0].lp_atoms)
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.player.nprocs + 1): ## Run over folders
simdir = "simfiles"
path = simdir + 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:] ## Skip the first (reference) molecule
mol_count = 0
for type in range(len(self.dice.nmol)): ## Run over types of molecules
if type == 0:
nmols = self.dice.nmol[0] - 1
else:
nmols = self.dice.nmol[type]
for mol in range(nmols): ## Run over molecules of each type
new_molecule = Molecule(self.system.molecule[type].molnale)
for site in range(len(self.system.molecule[types].atom)): ## Run over sites of each molecule
new_molecule.append({})
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,
self.system.molecule[type].atom[site].float(line[1]),
self.system.molecule[type].atom[site].float(line[2]),
self.system.molecule[type].atom[site].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:
asec_charges.append({})
vdw_meanfield.append({})
asec_charges[-1]['rx'] = atom['rx']
asec_charges[-1]['ry'] = atom['ry']
asec_charges[-1]['rz'] = atom['rz']
asec_charges[-1]['chg'] = atom['chg'] / norm_factor
if self.player.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.player.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.player.outfile.write(textwrap.fill(string, 86))
self.player.outfile.write("\n")
otherfh = open("ASEC.dat", "w")
for charge in asec_charges:
otherfh.write("{:>10.5f} {:>10.5f} {:>10.5f} {:>11.8f}\n".format(
charge['rx'], charge['ry'], charge['rz'], charge['chg']))
otherfh.close()
return asec_charges
## Dice related Upper fuctions
def print_last_config(self, cycle, proc):
sim_dir = "simfiles"
step_dir = "step{:02d}".format(cycle)
proc_dir = "p{:02d}".format(proc)
path = sim_dir + os.sep + step_dir + os.sep + proc_dir
file = path + os.sep + self.dice.outname + ".xyz"
if not os.path.isfile(file):
sys.exit("Error: cannot find the xyz file {}".format(file))
try:
with open(file) as fh:
xyzfile = fh.readlines()
except:
sys.exit("Error: cannot open file {}".format(file))
nsites = len(self.system.molecule[0].atom) * self.dice.nmol[0]
for i in range(1, len(self.dice.nmol)):
nsites += self.dice.nmol[i] * len(self.system.molecule[i].atom)
nsites += 2 ## To include the comment line and the number of atoms (xyz file format)
nsites *= -1 ## Become an index to count from the end of xyzfile (list)
xyzfile = xyzfile[nsites :] ## Take the last configuration
file = path + os.sep + "last.xyz"
fh = open(file, "w")
for line in xyzfile:
fh.write(line)
def new_density(self, cycle, proc):
sim_dir = "simfiles"
step_dir = "step{:02d}".format(cycle-1)
proc_dir = "p{:02d}".format(proc)
path = sim_dir + os.sep + step_dir + os.sep + proc_dir
file = path + os.sep + "last.xyz"
if not os.path.isfile(file):
sys.exit("Error: cannot find the xyz file {} in main directory".format(file))
try:
with open(file) as fh:
xyzfile = fh.readlines()
except:
sys.exit("Error: cannot open file {}".format(file))
box = xyzfile[1].split()
volume = float(box[-3]) * float(box[-2]) * float(box[-1])
total_mass = 0
for i in range(len(self.system.molecule)):
total_mass += self.system.molecule[i].total_mass * self.dice.nmol[i]
density = (total_mass / volume) * umaAng3_to_gcm3
return density
def simulation_process(self, cycle, proc):
setproctitle.setproctitle("diceplayer-step{:0d}-p{:0d}".format(cycle,proc))
try:
self.dice.make_proc_dir(cycle, proc)
self.make_dice_inputs(cycle, proc)
self.dice.run_dice(cycle, proc, self.outfile)
except Exception as err:
sys.exit(err)
def make_dice_inputs(self, cycle, proc):
sim_dir = "simfiles"
step_dir = "step{:02d}".format(cycle)
proc_dir = "p{:02d}".format(proc)
path = sim_dir + os.sep + step_dir + os.sep + proc_dir
num = time.time() ## Take the decimal places 7 to 12 of the
num = (num - int(num)) * 1e6 ## time in seconds as a floating point
num = int((num - int(num)) * 1e6) ## to make an integer in the range 1-1e6
random.seed( (os.getpid() * num) % (max_seed + 1) )
if self.dice.randominit == 'first' and cycle > 1:
step_dir = "step{:02d}".format(cycle-1)
last_path = sim_dir + os.sep + step_dir + os.sep + proc_dir
xyzfile = last_path + os.sep + "last.xyz"
self.make_init_file(path, xyzfile)
if len(self.dice.nstep) == 2: ## Means NVT simulation
self.make_nvt_ter(cycle, path)
self.make_nvt_eq(path)
elif len(self.dice.nstep) == 3: ## Means NPT simulation
if self.dice.randominit == 'first' and cycle > 1:
self.dens = self.new_density(cycle, proc)
else:
self.make_nvt_ter(cycle, path)
self.make_npt_ter(cycle, path)
self.make_npt_eq(path)
else:
sys.exit("Error: bad number of entries for 'nstep'")
self.make_potential(path)
# if (self.dice.randominit == 'first' and cycle > 1):
# last_path = sim_dir + os.sep + "step{:02d}".format(cycle-1) + os.sep + proc_dir
# shutil.copyfile(last_path + os.sep + "phb.dat", path + os.sep + "phb.dat")
def make_nvt_ter(self,cycle, path):
file = path + os.sep + "NVT.ter"
try:
fh = open(file, "w")
except:
sys.exit("Error: cannot open file {}".format(file))
fh.write("title = {} - NVT Thermalization\n".format(self.dice.title))
fh.write("ncores = {}\n".format(self.dice.ncores))
fh.write("ljname = {}\n".format(self.dice.ljname))
fh.write("outname = {}\n".format(self.dice.outname))
string = " ".join(str(x) for x in self.dice.nmol)
fh.write("nmol = {}\n".format(string))
fh.write("dens = {}\n".format(self.dice.dens))
fh.write("temp = {}\n".format(self.dice.temp))
if self.dice.randominit == 'first' and cycle > 1:
fh.write("init = yesreadxyz\n")
fh.write("nstep = {}\n".format(self.player.altsteps))
else:
fh.write("init = yes\n")
fh.write("nstep = {}\n".format(self.dice.nstep[0]))
fh.write("vstep = 0\n")
fh.write("mstop = 1\n")
fh.write("accum = no\n")
fh.write("iprint = 1\n")
fh.write("isave = 0\n")
fh.write("irdf = 0\n")
seed = int(1e6 * random.random())
fh.write("seed = {}\n".format(seed))
fh.write("upbuf = {}".format(self.dice.upbuf))
fh.close()
def make_nvt_eq(self, path):
file = path + os.sep + "NVT.eq"
try:
fh = open(file, "w")
except:
sys.exit("Error: cannot open file {}".format(file))
fh.write("title = {} - NVT Production\n".format(self.dice.title))
fh.write("ncores = {}\n".format(self.dice.ncores))
fh.write("ljname = {}\n".format(self.dice.ljname))
fh.write("outname = {}\n".format(self.dice.outname))
string = " ".join(str(x) for x in self.dice.nmol)
fh.write("nmol = {}\n".format(string))
fh.write("dens = {}\n".format(self.dice.dens))
fh.write("temp = {}\n".format(self.dice.temp))
fh.write("init = no\n")
fh.write("nstep = {}\n".format(self.dice.nstep[1]))
fh.write("vstep = 0\n")
fh.write("mstop = 1\n")
fh.write("accum = no\n")
fh.write("iprint = 1\n")
fh.write("isave = {}\n".format(self.dice.isave))
fh.write("irdf = {}\n".format(10 * self.player.nprocs))
seed = int(1e6 * random.random())
fh.write("seed = {}\n".format(seed))
fh.close()
def make_npt_ter(self, cycle, path):
file = path + os.sep + "NPT.ter"
try:
fh = open(file, "w")
except:
sys.exit("Error: cannot open file {}".format(file))
fh.write("title = {} - NPT Thermalization\n".format(self.dice.title))
fh.write("ncores = {}\n".format(self.dice.ncores))
fh.write("ljname = {}\n".format(self.dice.ljname))
fh.write("outname = {}\n".format(self.dice.outname))
string = " ".join(str(x) for x in self.dice.nmol)
fh.write("nmol = {}\n".format(string))
fh.write("press = {}\n".format(self.dice.press))
fh.write("temp = {}\n".format(self.dice.temp))
if self.dice.randominit == 'first' and cycle > 1:
fh.write("init = yesreadxyz\n")
fh.write("dens = {:<8.4f}\n".format(self.dice.dens))
fh.write("vstep = {}\n".format(int(self.player.altsteps / 5)))
else:
fh.write("init = no\n") ## Because there will be a previous NVT simulation
fh.write("vstep = {}\n".format(int(self.dice.nstep[1] / 5)))
fh.write("nstep = 5\n")
fh.write("mstop = 1\n")
fh.write("accum = no\n")
fh.write("iprint = 1\n")
fh.write("isave = 0\n")
fh.write("irdf = 0\n")
seed = int(1e6 * random.random())
fh.write("seed = {}\n".format(seed))
fh.close()
def make_npt_eq(self, path):
file = path + os.sep + "NPT.eq"
try:
fh = open(file, "w")
except:
sys.exit("Error: cannot open file {}".format(file))
fh.write("title = {} - NPT Production\n".format(self.dice.title))
fh.write("ncores = {}\n".format(self.dice.ncores))
fh.write("ljname = {}\n".format(self.dice.ljname))
fh.write("outname = {}\n".format(self.dice.outname))
string = " ".join(str(x) for x in self.dice.nmol)
fh.write("nmol = {}\n".format(string))
fh.write("press = {}\n".format(self.dice.press))
fh.write("temp = {}\n".format(self.dice.temp))
fh.write("nstep = 5\n")
fh.write("vstep = {}\n".format(int(self.dice.nstep[2] / 5)))
fh.write("init = no\n")
fh.write("mstop = 1\n")
fh.write("accum = no\n")
fh.write("iprint = 1\n")
fh.write("isave = {}\n".format(self.dice.isave))
fh.write("irdf = {}\n".format(10 * self.player.nprocs))
seed = int(1e6 * random.random())
fh.write("seed = {}\n".format(seed))
fh.close()
def make_init_file(self, path, file):
if not os.path.isfile(file):
sys.exit("Error: cannot find the xyz file {} in main directory".format(file))
try:
with open(file) as fh:
xyzfile = fh.readlines()
except:
sys.exit("Error: cannot open file {}".format(file))
nsites_mm = 0
for i in range(1, len(self.dice.nmol)):
nsites_mm += self.dice.nmol[i] * len(self.system.molecule[i].atom)
nsites_mm *= -1 ## Become an index to count from the end of xyzfile (list)
xyzfile = xyzfile[nsites_mm :] ## Only the MM atoms of the last configuration remains
file = path + os.sep + self.dice.outname + ".xy"
try:
fh = open(file, "w", 1)
except:
sys.exit("Error: cannot open file {}".format(file))
for atom in self.system.molecule[0].atom:
fh.write("{:>10.6f} {:>10.6f} {:>10.6f}\n".format(atom.rx, atom.ry, atom.rz))
# for i in self.system.molecule[0].ghost_atoms:
# with self.system.molecule[0].atom[i] as ghost:
# fh.write("{:>10.6f} {:>10.6f} {:>10.6f}\n".format(ghost.rx, ghost.ry, ghost.rz))
# for i in self.system.molecule[0].lp_atoms:
# with self.system.molecule[0].atom[i] as lp:
# fh.write("{:>10.6f} {:>10.6f} {:>10.6f}\n".format(lp.rx, lp.ry, lp.rz))
for line in xyzfile:
atom = line.split()
rx = float(atom[1])
ry = float(atom[2])
rz = float(atom[3])
fh.write("{:>10.6f} {:>10.6f} {:>10.6f}\n".format(rx, ry, rz))
fh.write("$end")
fh.close()
def make_potential(self, path):
fstr = "{:<3d} {:>3d} {:>10.5f} {:>10.5f} {:>10.5f} {:>10.6f} {:>9.5f} {:>7.4f}\n"
file = path + os.sep + self.dice.ljname
try:
fh = open(file, "w")
except:
sys.exit("Error: cannot open file {}".format(file))
fh.write("{}\n".format(self.dice.combrule))
fh.write("{}\n".format(len(self.dice.nmol)))
nsites_qm = len(self.system.molecule[0].atom) + len(self.system.molecule[0].ghost_atoms) + len(self.system.molecule[0].lp_atoms)
## Print the sites of the QM molecule
fh.write("{} {}\n".format(nsites_qm, self.system.molecule[0].molname))
for atom in self.system.molecule[0].atom:
fh.write(fstr.format(atom.lbl, atom.na, atom.rx, atom.ry, atom.rz,
atom.chg, atom.eps, atom.sig))
ghost_label = self.system.molecule[0].atom[-1].lbl + 1
for i in self.system.molecule[0].ghost_atoms:
fh.write(fstr.format(ghost_label, ghost_number, self.system.molecule[0].atom[i].rx, self.system.molecule[0].atom[i].ry,
self.system.molecule[0].atom[i].rz, self.system.molecule[0].atom[i].chg, 0, 0))
ghost_label += 1
for lp in self.system.molecule[0].lp_atoms:
fh.write(fstr.format(ghost_label, ghost_number, lp['rx'], lp['ry'], lp['rz'],
lp['chg'], 0, 0))
## Print the sites of the other molecules
for mol in self.system.molecule[1:]:
fh.write("{} {}\n".format(len(mol.atom), mol.molname))
for atom in mol.atom:
fh.write(fstr.format(atom.lbl, atom.na, atom.rx, atom.ry,
atom.rz, atom.chg, atom.eps, atom.sig))
# Gaussian related methods
def read_forces_fchk(self, file, fh):
forces = []
try:
with open(file) as tmpfh:
fchkfile = tmpfh.readlines()
except:
sys.exit("Error: cannot open file {}".format(file))
start = fchkfile.pop(0).strip()
while start.find("Cartesian Gradient") != 0: ## expression in begining of line
start = fchkfile.pop(0).strip()
degrees = 3 * len(self.system.molecule[0])
count = 0
while True:
values = fchkfile.pop(0).split()
forces.extend([ float(x) for x in values ])
count += len(values)
if count >= degrees:
forces = forces[:degrees]
break
gradient = np.array(forces)
fh.write("\nGradient read from file {}:\n".format(file))
fh.write("-----------------------------------------------------------------------\n"
"Center Atomic Forces (Hartree/Bohr)\n"
"Number Number X Y Z\n"
"-----------------------------------------------------------------------\n")
for i in range(len(self.system.molecule[0])):
fh.write(" {:>5d} {:>3d} {:>14.9f} {:>14.9f} {:>14.9f}\n".format(
i + 1, self.system.molecule[0][i]['na'], forces.pop(0), forces.pop(0), forces.pop(0)))
fh.write("-----------------------------------------------------------------------\n")
force_max = np.amax(np.absolute(gradient))
force_rms = np.sqrt(np.mean(np.square(gradient)))
fh.write(" Max Force = {:>14.9f} RMS Force = {:>14.9f}\n\n".format(
force_max, force_rms))
return gradient
def read_hessian_fchk(self, file):
force_const = []
try:
with open(file) as tmpfh:
fchkfile = tmpfh.readlines()
except:
sys.exit("Error: cannot open file {}".format(file))
start = fchkfile.pop(0).strip()
while start.find("Cartesian Force Constants") != 0:
start = fchkfile.pop(0).strip()
degrees = 3 * len(self.system.molecule[0])
last = round(degrees * (degrees + 1) / 2)
count = 0
while True:
values = fchkfile.pop(0).split()
force_const.extend([ float(x) for x in values ])
count += len(values)
if count >= last:
force_const = force_const[:last]
break
hessian = np.zeros((degrees, degrees))
for i in range(degrees):
for j in range(i + 1):
hessian[i,j] = force_const.pop(0)
hessian[j,i] = hessian[i,j]
return hessian
def read_hessian_log(self, file):
try:
with open(file) as tmpfh:
logfile = tmpfh.readlines()
except:
sys.exit("Error: cannot open file {}".format(file))
start = logfile.pop(0).strip()
while start.find("The second derivative matrix:") != 0:
start = logfile.pop(0).strip()
degrees = 3 * len(self.system.molecule[0])
hessian = np.zeros((degrees, degrees))
k = 0
while k < degrees:
logfile.pop(0)
for i in range(k, degrees):
values = logfile.pop(0).split()[1:]
for j in range(k, min(i + 1, k + 5)):
hessian[i,j] = float(values.pop(0))
hessian[j,i] = hessian[i,j]
k += 5
return hessian
def print_grad_hessian(self, cycle, cur_gradient, hessian):
try:
fh = open("grad_hessian.dat", "w")
except:
sys.exit("Error: cannot open file grad_hessian.dat")
fh.write("Optimization cycle: {}\n".format(cycle))
fh.write("Cartesian Gradient\n")
degrees = 3 * len(self.system.molecule[0])
for i in range(degrees):
fh.write(" {:>11.8g}".format(cur_gradient[i]))
if (i + 1) % 5 == 0 or i == degrees - 1:
fh.write("\n")
fh.write("Cartesian Force Constants\n")
last = degrees * (degrees + 1) / 2
count = 0
for i in range(degrees):
for j in range(i + 1):
count += 1
fh.write(" {:>11.8g}".format(hessian[i,j]))
if count % 5 == 0 or count == last:
fh.write("\n")
fh.close()
return
## Change the name to make_gaussian_input
def make_gaussian_input(self, cycle, asec_charges=None):
simdir="simfiles"
stepdir="step{:02d}".format(cycle)
path = simdir + os.sep + stepdir + os.sep + "qm"
file = path + os.sep + "asec.gjf"
try:
fh = open(file, "w")
except:
sys.exit("Error: cannot open file {}".format(file))
fh.write("%Chk=asec.chk\n")
if self.gaussian.mem != None:
fh.write("%Mem={}MB\n".format(self.gaussian.mem))
fh.write("%Nprocs={}\n".format(self.player.nprocs * self.dice.ncores))
kword_line = "#P " + str(self.gaussian.level)
if self.gaussian.keywords != None:
kword_line += " " + self.gaussian.keywords
if self.player.opt == 'yes':
kword_line += " Force"
# kword_line += " Charge"
kword_line += " NoSymm"
kword_line += " Pop={} Density=Current".format(self.gaussian.pop)
if cycle > 1:
kword_line += " Guess=Read"
fh.write(textwrap.fill(kword_line, 90))
fh.write("\n")
fh.write("\nForce calculation - Cycle number {}\n".format(cycle))
fh.write("\n")
fh.write("{},{}\n".format(self.gaussian.chgmult[0], self.gaussian.chgmult[1]))
for atom in self.system.molecule[0].atom:
symbol = atomsymb[atom.na]
fh.write("{:<2s} {:>10.5f} {:>10.5f} {:>10.5f}\n".format(symbol,
atom.rx, atom.ry, atom.rz))
# ## If also performing charge fit in the same calculation
# if cycle >= self.player.switchcyc:
# for ghost in ghost_atoms:
# fh.write("Bq {:>10.5f} {:>10.5f} {:>10.5f}\n".format(
# ghost['rx'], ghost['ry'], ghost['rz']))
# for lp in lp_atoms:
# fh.write("Bq {:>10.5f} {:>10.5f} {:>10.5f}\n".format(
# lp['rx'], lp['ry'], lp['rz']))
# fh.write("\n")
## If gmiddle file was informed, write its contents in asec.gjf
# if self.gaussian.gmiddle != None:
# if not os.path.isfile(self.gaussian.gmiddle):
# sys.exit("Error: cannot find file {} in main directory".format(
# self.gaussian.gmiddle))
# try:
# with open(self.gaussian.gmiddle) as gmiddlefile:
# gmiddle = gmiddlefile.readlines()
# except:
# sys.exit("Error: cannot open file {}".format(self.gaussian.gmiddle))
# for line in gmiddle:
# fh.write(line)
# fh.write("\n")
# ## Write the ASEC:
# for charge in asec_charges:
# fh.write("{:>10.5f} {:>10.5f} {:>10.5f} {:>11.8f}\n".format(
# charge['rx'], charge['ry'], charge['rz'], charge['chg']))
fh.write("\n")
# ## If gbottom file was informed, write its contents in asec.gjf
# if self.gaussian.gbottom != None:
# if not os.path.isfile(self.gaussian.gbottom):
# sys.exit("Error: cannot find file {} in main directory".format(
# self.gaussian.gbottom))
# try:
# with open(self.gaussian.gbottom) as gbottomfile:
# gbottom = gbottomfile.readlines()
# except:
# sys.exit("Error: cannot open file {}".format(self.gaussian.gbottom))
# for line in gbottom:
# fh.write(line)
# fh.write("\n")
# fh.close()
def read_charges(self, file, fh):
try:
with open(file) as tmpfh:
glogfile = tmpfh.readlines()
except:
sys.exit("Error: cannot open file {}".format(file))
start = glogfile.pop(0).strip()
while start != "Fitting point charges to electrostatic potential":
start = glogfile.pop(0).strip()
glogfile = glogfile[3:] ## Consume 3 more lines
fh.write("\nAtomic charges:\n")
fh.write("------------------------------------\n")
for atom in self.system.molecule[0].atom:
line = glogfile.pop(0).split()
atom_str = line[1]
charge = float(line[2])
atom.chg = charge
fh.write(" {:<2s} {:>10.6f}\n".format(atom_str, charge))
# if self.gaussian.pop == "chelpg":
# for ghost in ghost_atoms:
# line = glogfile.pop(0).split()
# atom_str = line[1]
# charge = float(line[2])
# ghost['chg'] = charge
# fh.write(" {:<2s} {:>10.6f}\n".format(atom_str, charge))
# for lp in lp_atoms:
# line = glogfile.pop(0).split()
# atom_str = line[1]
# charge = float(line[2])
# lp['chg'] = charge
# fh.write(" {:<2s} {:>10.6f}\n".format(atom_str, charge))
fh.write("------------------------------------\n")
class Player:
def __init__(self):
self.maxcyc = None
self.nprocs = 1
self.switchcyc = 3
self.altsteps = 20000
self.maxstep = .3
self.opt = "yes"
self.freq = "no"
self.readhessian = "no"
self.lps = "no"
self.ghosts = "no"
self.vdwforces = "no"
self.tol_factor = 1.2
self.qmprog = "g16"
self.initcyc = 1
class Dice:
def __init__(self):
self.title = "Diceplayer run"
self.progname = "dice"
self.path = None
self.randominit = 'first'
self.temp = 300.0
self.press = 1.0
self.isave = 1000 # ASEC construction will take this into account
self.ncores = 1
self.dens = None # Investigate the possibility of using 'box = Lx Ly Lz' instead.
# self.box = None # So 'geom' would be set by diceplayer and 'cutoff' would be
# switched off. One of them must be given.
self.combrule = "*"
self.ljname = None
self.outname = None
self.nmol = [] # Up to 4 integer values related to up to 4 molecule types
self.nstep = [] # 2 or 3 integer values related to 2 or 3 simulations
# (NVT th + NVT eq) or (NVT th + NPT th + NPT eq).
# This will control the 'nstep' keyword of Dice
self.upbuf = 360
def make_proc_dir(self, cycle, proc):
sim_dir = "simfiles"
step_dir = "step{:02d}".format(cycle)
proc_dir = "p{:02d}".format(proc)
path = sim_dir + os.sep + step_dir + os.sep + proc_dir
try:
os.makedirs(path)
except:
sys.exit("Error: cannot make directory {}".format(path))
def run_dice(self, cycle, proc, fh):
sim_dir = "simfiles"
step_dir = "step{:02d}".format(cycle)
proc_dir = "p{:02d}".format(proc)
try:
fh.write("Simulation process {} initiated with pid {}\n".format(sim_dir + os.sep + step_dir + os.sep + proc_dir, os.getpid()))
except Exception as err:
print("I/O error({0}): {1}".format(err))
path = sim_dir + os.sep + step_dir + os.sep + proc_dir
working_dir = os.getcwd()
os.chdir(path)
if len(self.nstep) == 2: ## Means NVT simulation
if self.randominit == 'no' or (self.randominit == 'first' and cycle > 1):
string_tmp = 'previous'
else:
string_tmp = 'random'
## NVT thermalization
string = "(from " + string_tmp + " configuration)"
fh.write("p{:02d}> NVT thermalization finished {} on {}\n".format(proc, string,
date_time()))
infh = open("NVT.ter")
outfh = open("NVT.ter.out", "w")
if shutil.which("bash") != None:
exit_status = subprocess.call(["bash","-c","exec -a dice-step{}-p{} {} < {} > {}".format(cycle, proc, self.progname, infh.name, outfh.name)])
else:
exit_status = subprocess.call(self.progname, stin=infh.name, stout=outfh.name)
infh.close()
outfh.close()
if os.getppid() == 1: ## Parent process is dead
sys.exit()
if exit_status != 0:
sys.exit("Dice process p{:02d} did not exit properly".format(proc))
else:
outfh = open("NVT.ter.out") ## Open again to seek the normal end flag
flag = outfh.readlines()[dice_flag_line].strip()
outfh.close()
if flag != dice_end_flag:
sys.exit("Dice process p{:02d} did not exit properly".format(proc))
## NVT production
fh.write("p{:02d}> NVT production initiated on {}\n".format(proc, date_time()))
infh = open("NVT.eq")
outfh = open("NVT.eq.out", "w")
if shutil.which("bash") != None:
exit_status = subprocess.call(["bash","-c","exec -a dice-step{}-p{} {} < {} > {}".format(cycle, proc, self.progname, infh.name, outfh.name)])
else:
exit_status = subprocess.call(self.progname, stin=infh.name, stout=outfh.name)
infh.close()
outfh.close()
if os.getppid() == 1: ## Parent process is dead
sys.exit()
if exit_status != 0:
sys.exit("Dice process p{:02d} did not exit properly".format(proc))
else:
outfh = open("NVT.eq.out") ## Open again to seek the normal end flag
flag = outfh.readlines()[dice_flag_line].strip()
outfh.close()
if flag != dice_end_flag:
sys.exit("Dice process p{:02d} did not exit properly".format(proc))
fh.write("p{:02d}> ----- NVT production finished on {}\n".format(proc,
date_time()))
elif len(self.nstep) == 3: ## Means NPT simulation
## NVT thermalization if randominit
if self.randominit == 'always' or (self.randominit == 'first' and cycle == 1):
string = "(from random configuration)"
fh.write("p{:02d}> NVT thermalization initiated {} on {}\n".format(proc,
string, date_time()))
infh = open("NVT.ter")
outfh = open("NVT.ter.out", "w")
if shutil.which("bash") != None:
exit_status = subprocess.call(["bash","-c","exec -a dice-step{}-p{} {} < {} > {}".format(cycle, proc, self.progname, infh.name, outfh.name)])
else:
exit_status = subprocess.call(self.progname, stin=infh.name, stout=outfh.name)
infh.close()
outfh.close()
if os.getppid() == 1: ## Parent process is dead
sys.exit()
if exit_status != 0:
sys.exit("Dice process p{:02d} did not exit properly".format(proc))
else:
outfh = open("NVT.ter.out") ## Open again to seek the normal end flag
flag = outfh.readlines()[dice_flag_line].strip()
outfh.close()
if flag != dice_end_flag:
sys.exit("Dice process p{:02d} did not exit properly".format(proc))
## NPT thermalization
if not self.randominit == 'always' or (self.randominit == 'first' and cycle == 1):
string = " (from previous configuration) "
else:
string = " "
fh.write("p{:02d}> NPT thermalization finished {} on {}\n".format(proc, string,
date_time()))
infh = open("NPT.ter")
outfh = open("NPT.ter.out", "w")
if shutil.which("bash") != None:
exit_status = subprocess.call(["bash","-c","exec -a dice-step{}-p{} {} < {} > {}".format(cycle, proc, self.progname, infh.name, outfh.name)])
else:
exit_status = subprocess.call(self.progname, stin=infh.name, stout=outfh.name)
infh.close()
outfh.close()
if os.getppid() == 1: ## Parent process is dead
sys.exit()
if exit_status != 0:
sys.exit("Dice process p{:02d} did not exit properly".format(proc))
else:
outfh = open("NPT.ter.out") ## Open again to seek the normal end flag
flag = outfh.readlines()[dice_flag_line].strip()
outfh.close()
if flag != dice_end_flag:
sys.exit("Dice process p{:02d} did not exit properly".format(proc))
## NPT production
fh.write("p{:02d}> NPT production initiated on {}\n".format(proc, date_time()))
infh = open("NPT.eq")
outfh = open("NPT.eq.out", "w")
if shutil.which("bash") != None:
exit_status = subprocess.call(["bash","-c","exec -a dice-step{}-p{} {} < {} > {}".format(cycle, proc, self.progname, infh.name, outfh.name)])
else:
exit_status = subprocess.call(self.progname, stin=infh.name, stout=outfh.name)
infh.close()
outfh.close()
if os.getppid() == 1: ## Parent process is dead
sys.exit()
if exit_status != 0:
sys.exit("Dice process p{:02d} did not exit properly".format(proc))
else:
outfh = open("NPT.eq.out") ## Open again to seek the normal end flag
flag = outfh.readlines()[dice_flag_line].strip()
outfh.close()
if flag != dice_end_flag:
sys.exit("Dice process p{:02d} did not exit properly".format(proc))
fh.write("p{:02d}> ----- NPT production finished on {}\n".format(proc,
date_time()))
os.chdir(working_dir)
class Gaussian:
def __init__(self):
self.qmprog = "g09"
self.path = None
self.mem = None
self.keywords = None
self.chgmult = [0, 1]
self.gmiddle = None # In each case, if a filename is given, its content will be
self.gbottom = None # inserted in the gaussian input
self.pop = "chelpg"
self.level = None
def run_gaussian(self, cycle, type, fh):
simdir="simfiles"
stepdir="step{:02d}".format(cycle)
path = simdir + os.sep + stepdir + os.sep + "qm"
work_dir = os.getcwd()
os.chdir(path)
# if type == "force":
# infile = "asec.gjf"
# elif type == "charge":
# infile = "asec2.gjf"
infile = "asec.gjf"
fh.write("\nCalculation of {}s initiated with Gaussian on {}\n".format(type, date_time()))
if shutil.which("bash") != None:
exit_status = subprocess.call(["bash","-c","exec -a {}-step{} {} {}".format(self.qmprog, cycle, self.qmprog, infile)])
else:
exit_status = subprocess.call([self.qmprog, infile])
if exit_status != 0:
sys.exit("Gaussian process did not exit properly")
fh.write("Calculation of {}s finished on {}\n".format(type, date_time()))
os.chdir(work_dir)
def run_formchk(self, cycle, fh):
simdir="simfiles"
stepdir="step{:02d}".format(cycle)
path = simdir + os.sep + stepdir + os.sep + "qm"
work_dir = os.getcwd()
os.chdir(path)
fh.write("Formatting the checkpoint file... ")
exit_status = subprocess.call(["formchk", "asec.chk"])
fh.write("Done\n")
os.chdir(work_dir)
# class Molcas:
# def __init(self):
# self.orbfile = "input.exporb"
# self.root = 1
# self.mbottom = None
# self.basis = None