# Path: stripstream/utils.py
# def write(filename, string):
#     with open(filename, 'w') as f:
#         f.write(string)
# 
# def read(filename):
#     with open(filename, 'r') as f:
#         return f.read()
# 
# INF = float('inf')
# 
# SEPARATOR = '\n' + 85 * '-' + '\n'
# 
# def ensure_dir(f):
#     d = os.path.dirname(f)
#     if not os.path.exists(d):
#         os.makedirs(d)
# 
# def safe_remove(p):
#     if os.path.exists(p):
#         os.remove(p)
# 
# def remove_dir(d):
#     if os.path.exists(d):
#         shutil.rmtree(d)
# 
# Path: stripstream/algorithms/search/utils.py
# TEMP_DIRECTORY = 'temp/'
# 
# DOMAIN_PATH = os.path.join(TEMP_DIRECTORY, 'domain.pddl')
# 
# PROBLEM_PATH = os.path.join(TEMP_DIRECTORY, 'problem.pddl')


from time import time
from stripstream.utils import write, read, INF, SEPARATOR, ensure_dir, safe_remove, remove_dir
from stripstream.algorithms.search.utils import TEMP_DIRECTORY, DOMAIN_PATH, PROBLEM_PATH
import sys
import os
    import translate



ENV_VAR = 'FD_PATH'
FD_BIN = 'bin'

TRANSLATE_DIR = 'translate/'
SEARCH_COMMAND = 'downward %s < '

TRANSLATE_OUTPUT = 'output.sas'
PREPROCESS_OUTPUT = 'output'
SEARCH_OUTPUT = 'sas_plan'


search_options = {
    'dijkstra': '--heuristic "h=blind(transform=adapt_costs(cost_type=PLUSONE))" --search "astar(h,max_time=%s,bound=%s)"',
    'astar': '--heuristic "h=hmax(transform=adapt_costs(cost_type=PLUSONE))" --search "astar(h,max_time=%s,bound=%s)"',
    'wastar1': '--heuristic "hlm,hff=lm_ff_syn(lm_rhw(reasonable_orders=true,lm_cost_type=plusone),transform=adapt_costs(cost_type=PLUSONE))" '
    '--search "lazy_wastar([hff,hlm],preferred=[hff,hlm],w=1,max_time=%s,bound=%s)"',
    'wastar2': '--heuristic "hlm,hff=lm_ff_syn(lm_rhw(reasonable_orders=true,lm_cost_type=plusone),transform=adapt_costs(cost_type=PLUSONE))" '
    '--search "lazy_wastar([hff,hlm],preferred=[hff,hlm],w=2,max_time=%s,bound=%s)"',
    'wastar3': '--heuristic "hlm,hff=lm_ff_syn(lm_rhw(reasonable_orders=true,lm_cost_type=plusone),transform=adapt_costs(cost_type=PLUSONE))" '
    '--search "lazy_wastar([hff,hlm],preferred=[hff,hlm],w=3,max_time=%s,bound=%s)"',


    'eager': '--heuristic "hff=ff(transform=adapt_costs(cost_type=PLUSONE))" '
    '--search "eager_greedy([hff],preferred=[hff],max_time=%s,bound=%s)"',

# Path: stripstream/utils.py
# def write(filename, string):
#     with open(filename, 'w') as f:
#         f.write(string)
# 
# def read(filename):
#     with open(filename, 'r') as f:
#         return f.read()
# 
# INF = float('inf')
# 
# SEPARATOR = '\n' + 85 * '-' + '\n'
# 
# def ensure_dir(f):
#     d = os.path.dirname(f)
#     if not os.path.exists(d):
#         os.makedirs(d)
# 
# def safe_remove(p):
#     if os.path.exists(p):
#         os.remove(p)
# 
# def remove_dir(d):
#     if os.path.exists(d):
#         shutil.rmtree(d)
# 
# Path: stripstream/algorithms/search/utils.py
# TEMP_DIRECTORY = 'temp/'
# 
# DOMAIN_PATH = os.path.join(TEMP_DIRECTORY, 'domain.pddl')
# 
# PROBLEM_PATH = os.path.join(TEMP_DIRECTORY, 'problem.pddl')


# Path: stripstream/algorithms/search/fast_downward.py
from time import time
from stripstream.utils import write, read, INF, SEPARATOR, ensure_dir, safe_remove, remove_dir
from stripstream.algorithms.search.utils import TEMP_DIRECTORY, DOMAIN_PATH, PROBLEM_PATH
import sys
import os
    import translate




ENV_VAR = 'FD_PATH'
FD_BIN = 'bin'

TRANSLATE_DIR = 'translate/'
SEARCH_COMMAND = 'downward %s < '

TRANSLATE_OUTPUT = 'output.sas'
PREPROCESS_OUTPUT = 'output'
SEARCH_OUTPUT = 'sas_plan'


search_options = {
    'dijkstra': '--heuristic "h=blind(transform=adapt_costs(cost_type=PLUSONE))" --search "astar(h,max_time=%s,bound=%s)"',
    'astar': '--heuristic "h=hmax(transform=adapt_costs(cost_type=PLUSONE))" --search "astar(h,max_time=%s,bound=%s)"',
    'wastar1': '--heuristic "hlm,hff=lm_ff_syn(lm_rhw(reasonable_orders=true,lm_cost_type=plusone),transform=adapt_costs(cost_type=PLUSONE))" '
    '--search "lazy_wastar([hff,hlm],preferred=[hff,hlm],w=1,max_time=%s,bound=%s)"',
    'wastar2': '--heuristic "hlm,hff=lm_ff_syn(lm_rhw(reasonable_orders=true,lm_cost_type=plusone),transform=adapt_costs(cost_type=PLUSONE))" '
    '--search "lazy_wastar([hff,hlm],preferred=[hff,hlm],w=2,max_time=%s,bound=%s)"',
    'wastar3': '--heuristic "hlm,hff=lm_ff_syn(lm_rhw(reasonable_orders=true,lm_cost_type=plusone),transform=adapt_costs(cost_type=PLUSONE))" '
    '--search "lazy_wastar([hff,hlm],preferred=[hff,hlm],w=3,max_time=%s,bound=%s)"',


    'eager': '--heuristic "hff=ff(transform=adapt_costs(cost_type=PLUSONE))" '
    '--search "eager_greedy([hff],preferred=[hff],max_time=%s,bound=%s)"',

    'lazy': '--heuristic "hlm,hff=lm_ff_syn(lm_rhw(reasonable_orders=true,lm_cost_type=plusone),transform=adapt_costs(cost_type=PLUSONE))" '