# 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
    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)
        data = next(itr).split()
        ncons, nvars, nonzeros = (int(data[i]) for i in (1, 3, 5))
        # Read the variables 
        itr = advance(itr, 1) # skip line 'Variable vector:'
        x = np.fromiter(itr, np.float64, nvars)
        # Skip two lines, an empty one and 'Residual vector:'
        itr = advance(lines, 2)
        residuals = np.fromiter(itr, np.float64, ncons)
        # Read the name of the gjh file containing the Jacobian
        name = read_gjh_filename(lines)
    return x, residuals, nonzeros, name

def read_gjh_filename(lines):
    # <newline> gjh: "/tmp/at3464.gjh" written.  Execute
    s = nth(lines, 1)
    beg = s.find('\"') + 1
    end = s.rfind('\"')
    return s[beg:end]

def read_gjh(filename, nonzeros):

# 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

    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)
        data = next(itr).split()
        ncons, nvars, nonzeros = (int(data[i]) for i in (1, 3, 5))
        # Read the variables 
        itr = advance(itr, 1) # skip line 'Variable vector:'
        x = np.fromiter(itr, np.float64, nvars)
        # Skip two lines, an empty one and 'Residual vector:'
        itr = advance(lines, 2)
        residuals = np.fromiter(itr, np.float64, ncons)
        # Read the name of the gjh file containing the Jacobian
        name = read_gjh_filename(lines)
    return x, residuals, nonzeros, name

def read_gjh_filename(lines):
    # <newline> gjh: "/tmp/at3464.gjh" written.  Execute
    s = nth(lines, 1)
    beg = s.find('\"') + 1
    end = s.rfind('\"')
    return s[beg:end]

def read_gjh(filename, nonzeros):

    with lines_of(filename) as lines: