# Path: sdopt/util/file_reader.py
# @contextmanager
# def lines_of(filename):
#     print('Trying to read file \"%s\"' % filename)
#     try:
#         f = fileinput.input(filename, mode='r')
#         yield _rstripped_lines(f)
#     finally:
#         print('Read ',f.lineno(),' lines from file \"',filename,'\"', sep='')
#         f.close()
# 
# Path: sdopt/util/misc.py
# def advance(itr, n):
#     return islice(itr, n, None)
# 
# def nth(iterable, n, default=None):
#     'Returns the nth item or a default value.'
#     return next(islice(iterable, n, None), default)
# 
# def skip_until(pred, itr):
#     return dropwhile(lambda s: not pred(s), itr)


from os.path import dirname, join
from ..util.file_reader import lines_of
from ..util.misc import advance, nth, skip_until
import numpy as np
import scipy.sparse as sp
from __future__ import print_function

def read(logfilename):
    x, residuals, nonzeros, name = read_log(logfilename)
    jac = read_gjh(join(dirname(logfilename), name), nonzeros)
    print('Jacobian:\n%s' % jac)
    return x, residuals, jac
    
def read_log(filename):
    with lines_of(filename) as lines:
        # Read problem statistics first: rows, cols, nonzeros
        itr = skip_until(lambda s: s=='@@@ Problem statistics', lines)

# Path: sdopt/util/file_reader.py
# @contextmanager
# def lines_of(filename):
#     print('Trying to read file \"%s\"' % filename)
#     try:
#         f = fileinput.input(filename, mode='r')
#         yield _rstripped_lines(f)
#     finally:
#         print('Read ',f.lineno(),' lines from file \"',filename,'\"', sep='')
#         f.close()
# 
# Path: sdopt/util/misc.py
# def advance(itr, n):
#     return islice(itr, n, None)
# 
# def nth(iterable, n, default=None):
#     'Returns the nth item or a default value.'
#     return next(islice(iterable, n, None), default)
# 
# def skip_until(pred, itr):
#     return dropwhile(lambda s: not pred(s), itr)


# Path: sdopt/parsers/gjh_parser.py
from os.path import dirname, join
from ..util.file_reader import lines_of
from ..util.misc import advance, nth, skip_until
import numpy as np
import scipy.sparse as sp

from __future__ import print_function

def read(logfilename):
    x, residuals, nonzeros, name = read_log(logfilename)
    jac = read_gjh(join(dirname(logfilename), name), nonzeros)
    print('Jacobian:\n%s' % jac)
    return x, residuals, jac
    
def read_log(filename):
    with lines_of(filename) as lines:
        # Read problem statistics first: rows, cols, nonzeros
        itr = skip_until(lambda s: s=='@@@ Problem statistics', lines)

        itr = advance(itr, 1)