'''
This script handles job submission for statistical significance.
'''
import os
import time
from squid.jobs import pysub

NPROCS = "1"

def fullreplace(book, word, newword):
    '''
    Simply replace every instance of word in some string with
    a new word.
    '''
    while word in book:
        book = book.replace(str(word), str(newword))
    return book


def run_pricm(folder, RANGE=(0, 5), QUEUE=None, WALLTIME="1-00:00:00", sample_domain=1000):
    '''
    Submit a number of miso jobs for HOIP optimization.
    
    **Parameters**

        folder: *str*
            The name for the output folder.

    **Returns**

        None
    '''
    script = '''
import sys
from run_pricm import run
run(
    int(sys.argv[-1]),
    "$MODEL$",
    folder="$FOLDER$",
    hp_opt="$HP_OPT$",
    sample_domain=$SAMPLE_DOMAIN$
)
'''.strip()
    systems = [
#       Model   ,  HP_Opt 
#        ("pricm", "is0"    ),
#        ("icm"  , "is0"    ),
#        ("miso"  , "is0"    ),
#        ("pricm", "full"   ),
#        ("icm" , "full"   ),
#        ("miso" , "full"   ),
        ("pricm", "full"),
#        ("pricm", "overlap"),
#        ("icm" , "overlap"),
#        ("miso" , "overlap"),
    ]
    for model, hp_opt in systems:
        local = fullreplace(script, "$MODEL$", model)
        local = fullreplace(local, "$FOLDER$", folder)
        local = fullreplace(local, "$HP_OPT$", hp_opt)
        local = fullreplace(local, "$SAMPLE_DOMAIN$", sample_domain)

        fname = "%s_%s_%d.py" % (model, hp_opt, sample_domain)
    
        fptr = open(fname, 'w')
        fptr.write(local)
        fptr.close()    
        pysub(
            fname,
            queue=QUEUE, nprocs=NPROCS,
            use_mpi=False, walltime=WALLTIME, modules=["pal"],
            unique_name=False, jobarray=RANGE
        )
        print("Submitting %s" % fname)
        time.sleep(0.2)


def run_ei(folder, RANGE=(0, 5), QUEUE=None, WALLTIME="1-00:00:00", sample_domain=1000):
    '''
    Submit a number of EI jobs for HOIP optimization.

    **Parameters**

        folder: *str*
            The name for the output folder.
        cost: *bool*
            The cost of the information source.  Mainly, True if the true cost
            was used in the corresponding run_ei file, and False if it is an
            approximation.  This will only change the naming of files so we
            keep track of this.

    **Returns**

        None
    '''

    script = '''
import sys
from run_ei import run
run(int(sys.argv[-1]), folder="$FOLDER$", sample_domain=$SAMPLE_DOMAIN$)
'''
    model = "ei"
    local = fullreplace(script, "$FOLDER$", folder)
    local = fullreplace(local, "$SAMPLE_DOMAIN$", sample_domain)

    fname = "%s_%d.py" % (model, sample_domain)
    
    fptr = open(fname, 'w')
    fptr.write(local)
    fptr.close()
    
    pysub(fname, queue=QUEUE, nprocs=NPROCS, use_mpi=False, walltime=WALLTIME, priority=20, modules=["pal"], jobarray=RANGE)
    print("Submitting %s" % fname)
    time.sleep(0.1)


if __name__ == "__main__":
    # Parameters for general job submission
    RANGE = (0, 200)
    QUEUE = "shared"
    WALLTIME = "1-00:00:00"
    folder = "rosenbrock"

    for sample_domain in [1000]:
    #for sample_domain in [250, 500, 1000]:
        if sample_domain == 1000:
            WALLTIME = "3-0:0:0"
        if not os.path.exists(folder + "_" + str(sample_domain)):
            os.mkdir("%s_%d" % (folder, sample_domain))
        run_pricm("%s_%d" % (folder, sample_domain), RANGE=RANGE, QUEUE=QUEUE, WALLTIME=WALLTIME, sample_domain=sample_domain)
#        run_ei("%s_%d" % (folder, sample_domain), RANGE=RANGE, QUEUE=QUEUE, WALLTIME=WALLTIME, sample_domain=sample_domain)


9513a20aebbd4442ba5f823f4b05382a9d9cb954
<mask token>


def fullreplace(book, word, newword):
    """
    Simply replace every instance of word in some string with
    a new word.
    """
    while word in book:
        book = book.replace(str(word), str(newword))
    return book


def run_pricm(folder, RANGE=(0, 5), QUEUE=None, WALLTIME='1-00:00:00',
    sample_domain=1000):
    """
    Submit a number of miso jobs for HOIP optimization.
    
    **Parameters**

        folder: *str*
            The name for the output folder.

    **Returns**

        None
    """
    script = (
        """
import sys
from run_pricm import run
run(
    int(sys.argv[-1]),
    "$MODEL$",
    folder="$FOLDER$",
    hp_opt="$HP_OPT$",
    sample_domain=$SAMPLE_DOMAIN$
)
"""
        .strip())
    systems = [('pricm', 'full')]
    for model, hp_opt in systems:
        local = fullreplace(script, '$MODEL$', model)
        local = fullreplace(local, '$FOLDER$', folder)
        local = fullreplace(local, '$HP_OPT$', hp_opt)
        local = fullreplace(local, '$SAMPLE_DOMAIN$', sample_domain)
        fname = '%s_%s_%d.py' % (model, hp_opt, sample_domain)
        fptr = open(fname, 'w')
        fptr.write(local)
        fptr.close()
        pysub(fname, queue=QUEUE, nprocs=NPROCS, use_mpi=False, walltime=
            WALLTIME, modules=['pal'], unique_name=False, jobarray=RANGE)
        print('Submitting %s' % fname)
        time.sleep(0.2)


def run_ei(folder, RANGE=(0, 5), QUEUE=None, WALLTIME='1-00:00:00',
    sample_domain=1000):
    """
    Submit a number of EI jobs for HOIP optimization.

    **Parameters**

        folder: *str*
            The name for the output folder.
        cost: *bool*
            The cost of the information source.  Mainly, True if the true cost
            was used in the corresponding run_ei file, and False if it is an
            approximation.  This will only change the naming of files so we
            keep track of this.

    **Returns**

        None
    """
    script = """
import sys
from run_ei import run
run(int(sys.argv[-1]), folder="$FOLDER$", sample_domain=$SAMPLE_DOMAIN$)
"""
    model = 'ei'
    local = fullreplace(script, '$FOLDER$', folder)
    local = fullreplace(local, '$SAMPLE_DOMAIN$', sample_domain)
    fname = '%s_%d.py' % (model, sample_domain)
    fptr = open(fname, 'w')
    fptr.write(local)
    fptr.close()
    pysub(fname, queue=QUEUE, nprocs=NPROCS, use_mpi=False, walltime=
        WALLTIME, priority=20, modules=['pal'], jobarray=RANGE)
    print('Submitting %s' % fname)
    time.sleep(0.1)


<mask token>

<mask token>


def fullreplace(book, word, newword):
    """
    Simply replace every instance of word in some string with
    a new word.
    """
    while word in book:
        book = book.replace(str(word), str(newword))
    return book


def run_pricm(folder, RANGE=(0, 5), QUEUE=None, WALLTIME='1-00:00:00',
    sample_domain=1000):
    """
    Submit a number of miso jobs for HOIP optimization.
    
    **Parameters**

        folder: *str*
            The name for the output folder.

    **Returns**

        None
    """
    script = (
        """
import sys
from run_pricm import run
run(
    int(sys.argv[-1]),
    "$MODEL$",
    folder="$FOLDER$",
    hp_opt="$HP_OPT$",
    sample_domain=$SAMPLE_DOMAIN$
)
"""
        .strip())
    systems = [('pricm', 'full')]
    for model, hp_opt in systems:
        local = fullreplace(script, '$MODEL$', model)
        local = fullreplace(local, '$FOLDER$', folder)
        local = fullreplace(local, '$HP_OPT$', hp_opt)
        local = fullreplace(local, '$SAMPLE_DOMAIN$', sample_domain)
        fname = '%s_%s_%d.py' % (model, hp_opt, sample_domain)
        fptr = open(fname, 'w')
        fptr.write(local)
        fptr.close()
        pysub(fname, queue=QUEUE, nprocs=NPROCS, use_mpi=False, walltime=
            WALLTIME, modules=['pal'], unique_name=False, jobarray=RANGE)
        print('Submitting %s' % fname)
        time.sleep(0.2)


def run_ei(folder, RANGE=(0, 5), QUEUE=None, WALLTIME='1-00:00:00',
    sample_domain=1000):
    """
    Submit a number of EI jobs for HOIP optimization.

    **Parameters**

        folder: *str*
            The name for the output folder.
        cost: *bool*
            The cost of the information source.  Mainly, True if the true cost
            was used in the corresponding run_ei file, and False if it is an
            approximation.  This will only change the naming of files so we
            keep track of this.

    **Returns**

        None
    """
    script = """
import sys
from run_ei import run
run(int(sys.argv[-1]), folder="$FOLDER$", sample_domain=$SAMPLE_DOMAIN$)
"""
    model = 'ei'
    local = fullreplace(script, '$FOLDER$', folder)
    local = fullreplace(local, '$SAMPLE_DOMAIN$', sample_domain)
    fname = '%s_%d.py' % (model, sample_domain)
    fptr = open(fname, 'w')
    fptr.write(local)
    fptr.close()
    pysub(fname, queue=QUEUE, nprocs=NPROCS, use_mpi=False, walltime=
        WALLTIME, priority=20, modules=['pal'], jobarray=RANGE)
    print('Submitting %s' % fname)
    time.sleep(0.1)


if __name__ == '__main__':
    RANGE = 0, 200
    QUEUE = 'shared'
    WALLTIME = '1-00:00:00'
    folder = 'rosenbrock'
    for sample_domain in [1000]:
        if sample_domain == 1000:
            WALLTIME = '3-0:0:0'
        if not os.path.exists(folder + '_' + str(sample_domain)):
            os.mkdir('%s_%d' % (folder, sample_domain))
        run_pricm('%s_%d' % (folder, sample_domain), RANGE=RANGE, QUEUE=
            QUEUE, WALLTIME=WALLTIME, sample_domain=sample_domain)

<mask token>
NPROCS = '1'


def fullreplace(book, word, newword):
    """
    Simply replace every instance of word in some string with
    a new word.
    """
    while word in book:
        book = book.replace(str(word), str(newword))
    return book


def run_pricm(folder, RANGE=(0, 5), QUEUE=None, WALLTIME='1-00:00:00',
    sample_domain=1000):
    """
    Submit a number of miso jobs for HOIP optimization.
    
    **Parameters**

        folder: *str*
            The name for the output folder.

    **Returns**

        None
    """
    script = (
        """
import sys
from run_pricm import run
run(
    int(sys.argv[-1]),
    "$MODEL$",
    folder="$FOLDER$",
    hp_opt="$HP_OPT$",
    sample_domain=$SAMPLE_DOMAIN$
)
"""
        .strip())
    systems = [('pricm', 'full')]
    for model, hp_opt in systems:
        local = fullreplace(script, '$MODEL$', model)
        local = fullreplace(local, '$FOLDER$', folder)
        local = fullreplace(local, '$HP_OPT$', hp_opt)
        local = fullreplace(local, '$SAMPLE_DOMAIN$', sample_domain)
        fname = '%s_%s_%d.py' % (model, hp_opt, sample_domain)
        fptr = open(fname, 'w')
        fptr.write(local)
        fptr.close()
        pysub(fname, queue=QUEUE, nprocs=NPROCS, use_mpi=False, walltime=
            WALLTIME, modules=['pal'], unique_name=False, jobarray=RANGE)
        print('Submitting %s' % fname)
        time.sleep(0.2)


def run_ei(folder, RANGE=(0, 5), QUEUE=None, WALLTIME='1-00:00:00',
    sample_domain=1000):
    """
    Submit a number of EI jobs for HOIP optimization.

    **Parameters**

        folder: *str*
            The name for the output folder.
        cost: *bool*
            The cost of the information source.  Mainly, True if the true cost
            was used in the corresponding run_ei file, and False if it is an
            approximation.  This will only change the naming of files so we
            keep track of this.

    **Returns**

        None
    """
    script = """
import sys
from run_ei import run
run(int(sys.argv[-1]), folder="$FOLDER$", sample_domain=$SAMPLE_DOMAIN$)
"""
    model = 'ei'
    local = fullreplace(script, '$FOLDER$', folder)
    local = fullreplace(local, '$SAMPLE_DOMAIN$', sample_domain)
    fname = '%s_%d.py' % (model, sample_domain)
    fptr = open(fname, 'w')
    fptr.write(local)
    fptr.close()
    pysub(fname, queue=QUEUE, nprocs=NPROCS, use_mpi=False, walltime=
        WALLTIME, priority=20, modules=['pal'], jobarray=RANGE)
    print('Submitting %s' % fname)
    time.sleep(0.1)


if __name__ == '__main__':
    RANGE = 0, 200
    QUEUE = 'shared'
    WALLTIME = '1-00:00:00'
    folder = 'rosenbrock'
    for sample_domain in [1000]:
        if sample_domain == 1000:
            WALLTIME = '3-0:0:0'
        if not os.path.exists(folder + '_' + str(sample_domain)):
            os.mkdir('%s_%d' % (folder, sample_domain))
        run_pricm('%s_%d' % (folder, sample_domain), RANGE=RANGE, QUEUE=
            QUEUE, WALLTIME=WALLTIME, sample_domain=sample_domain)

<mask token>
import os
import time
from squid.jobs import pysub
NPROCS = '1'


def fullreplace(book, word, newword):
    """
    Simply replace every instance of word in some string with
    a new word.
    """
    while word in book:
        book = book.replace(str(word), str(newword))
    return book


def run_pricm(folder, RANGE=(0, 5), QUEUE=None, WALLTIME='1-00:00:00',
    sample_domain=1000):
    """
    Submit a number of miso jobs for HOIP optimization.
    
    **Parameters**

        folder: *str*
            The name for the output folder.

    **Returns**

        None
    """
    script = (
        """
import sys
from run_pricm import run
run(
    int(sys.argv[-1]),
    "$MODEL$",
    folder="$FOLDER$",
    hp_opt="$HP_OPT$",
    sample_domain=$SAMPLE_DOMAIN$
)
"""
        .strip())
    systems = [('pricm', 'full')]
    for model, hp_opt in systems:
        local = fullreplace(script, '$MODEL$', model)
        local = fullreplace(local, '$FOLDER$', folder)
        local = fullreplace(local, '$HP_OPT$', hp_opt)
        local = fullreplace(local, '$SAMPLE_DOMAIN$', sample_domain)
        fname = '%s_%s_%d.py' % (model, hp_opt, sample_domain)
        fptr = open(fname, 'w')
        fptr.write(local)
        fptr.close()
        pysub(fname, queue=QUEUE, nprocs=NPROCS, use_mpi=False, walltime=
            WALLTIME, modules=['pal'], unique_name=False, jobarray=RANGE)
        print('Submitting %s' % fname)
        time.sleep(0.2)


def run_ei(folder, RANGE=(0, 5), QUEUE=None, WALLTIME='1-00:00:00',
    sample_domain=1000):
    """
    Submit a number of EI jobs for HOIP optimization.

    **Parameters**

        folder: *str*
            The name for the output folder.
        cost: *bool*
            The cost of the information source.  Mainly, True if the true cost
            was used in the corresponding run_ei file, and False if it is an
            approximation.  This will only change the naming of files so we
            keep track of this.

    **Returns**

        None
    """
    script = """
import sys
from run_ei import run
run(int(sys.argv[-1]), folder="$FOLDER$", sample_domain=$SAMPLE_DOMAIN$)
"""
    model = 'ei'
    local = fullreplace(script, '$FOLDER$', folder)
    local = fullreplace(local, '$SAMPLE_DOMAIN$', sample_domain)
    fname = '%s_%d.py' % (model, sample_domain)
    fptr = open(fname, 'w')
    fptr.write(local)
    fptr.close()
    pysub(fname, queue=QUEUE, nprocs=NPROCS, use_mpi=False, walltime=
        WALLTIME, priority=20, modules=['pal'], jobarray=RANGE)
    print('Submitting %s' % fname)
    time.sleep(0.1)


if __name__ == '__main__':
    RANGE = 0, 200
    QUEUE = 'shared'
    WALLTIME = '1-00:00:00'
    folder = 'rosenbrock'
    for sample_domain in [1000]:
        if sample_domain == 1000:
            WALLTIME = '3-0:0:0'
        if not os.path.exists(folder + '_' + str(sample_domain)):
            os.mkdir('%s_%d' % (folder, sample_domain))
        run_pricm('%s_%d' % (folder, sample_domain), RANGE=RANGE, QUEUE=
            QUEUE, WALLTIME=WALLTIME, sample_domain=sample_domain)

'''
This script handles job submission for statistical significance.
'''
import os
import time
from squid.jobs import pysub

NPROCS = "1"

def fullreplace(book, word, newword):
    '''
    Simply replace every instance of word in some string with
    a new word.
    '''
    while word in book:
        book = book.replace(str(word), str(newword))
    return book


def run_pricm(folder, RANGE=(0, 5), QUEUE=None, WALLTIME="1-00:00:00", sample_domain=1000):
    '''
    Submit a number of miso jobs for HOIP optimization.
    
    **Parameters**

        folder: *str*
            The name for the output folder.

    **Returns**

        None
    '''
    script = '''
import sys
from run_pricm import run
run(
    int(sys.argv[-1]),
    "$MODEL$",
    folder="$FOLDER$",
    hp_opt="$HP_OPT$",
    sample_domain=$SAMPLE_DOMAIN$
)
'''.strip()
    systems = [
#       Model   ,  HP_Opt 
#        ("pricm", "is0"    ),
#        ("icm"  , "is0"    ),
#        ("miso"  , "is0"    ),
#        ("pricm", "full"   ),
#        ("icm" , "full"   ),
#        ("miso" , "full"   ),
        ("pricm", "full"),
#        ("pricm", "overlap"),
#        ("icm" , "overlap"),
#        ("miso" , "overlap"),
    ]
    for model, hp_opt in systems:
        local = fullreplace(script, "$MODEL$", model)
        local = fullreplace(local, "$FOLDER$", folder)
        local = fullreplace(local, "$HP_OPT$", hp_opt)
        local = fullreplace(local, "$SAMPLE_DOMAIN$", sample_domain)

        fname = "%s_%s_%d.py" % (model, hp_opt, sample_domain)
    
        fptr = open(fname, 'w')
        fptr.write(local)
        fptr.close()    
        pysub(
            fname,
            queue=QUEUE, nprocs=NPROCS,
            use_mpi=False, walltime=WALLTIME, modules=["pal"],
            unique_name=False, jobarray=RANGE
        )
        print("Submitting %s" % fname)
        time.sleep(0.2)


def run_ei(folder, RANGE=(0, 5), QUEUE=None, WALLTIME="1-00:00:00", sample_domain=1000):
    '''
    Submit a number of EI jobs for HOIP optimization.

    **Parameters**

        folder: *str*
            The name for the output folder.
        cost: *bool*
            The cost of the information source.  Mainly, True if the true cost
            was used in the corresponding run_ei file, and False if it is an
            approximation.  This will only change the naming of files so we
            keep track of this.

    **Returns**

        None
    '''

    script = '''
import sys
from run_ei import run
run(int(sys.argv[-1]), folder="$FOLDER$", sample_domain=$SAMPLE_DOMAIN$)
'''
    model = "ei"
    local = fullreplace(script, "$FOLDER$", folder)
    local = fullreplace(local, "$SAMPLE_DOMAIN$", sample_domain)

    fname = "%s_%d.py" % (model, sample_domain)
    
    fptr = open(fname, 'w')
    fptr.write(local)
    fptr.close()
    
    pysub(fname, queue=QUEUE, nprocs=NPROCS, use_mpi=False, walltime=WALLTIME, priority=20, modules=["pal"], jobarray=RANGE)
    print("Submitting %s" % fname)
    time.sleep(0.1)


if __name__ == "__main__":
    # Parameters for general job submission
    RANGE = (0, 200)
    QUEUE = "shared"
    WALLTIME = "1-00:00:00"
    folder = "rosenbrock"

    for sample_domain in [1000]:
    #for sample_domain in [250, 500, 1000]:
        if sample_domain == 1000:
            WALLTIME = "3-0:0:0"
        if not os.path.exists(folder + "_" + str(sample_domain)):
            os.mkdir("%s_%d" % (folder, sample_domain))
        run_pricm("%s_%d" % (folder, sample_domain), RANGE=RANGE, QUEUE=QUEUE, WALLTIME=WALLTIME, sample_domain=sample_domain)
#        run_ei("%s_%d" % (folder, sample_domain), RANGE=RANGE, QUEUE=QUEUE, WALLTIME=WALLTIME, sample_domain=sample_domain)

